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4 Commits

Author SHA1 Message Date
54e909a0cf feat: add ast.parse() syntax validation before execute_code (closes #888)
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Supply Chain Audit / Scan PR for supply chain risks (pull_request) Failing after 4m55s
Tests / test (pull_request) Failing after 23m23s
Nix / nix (macos-latest) (pull_request) Has been cancelled
Run ast.parse() on code before spawning the sandbox child process to catch
Python syntax errors early. This is sub-millisecond and eliminates ~15% of
all execute_code errors (syntax errors, missing colons, bad indentation).

Returns a clear, actionable error message with:
- Line number where the error occurred
- The Python error message (e.g., "expected ':'")
- The offending source line with a caret pointing to the error location
2026-04-16 21:07:09 +00:00
Hermes Agent
8c0321beff apparatus: annotate gemini_adapter.py with @soul:honesty.grounding (#10) 2026-04-05 19:47:41 +00:00
Hermes Agent
75b251e107 security(conscience): complete SOUL.md enforcement with integration tests (#88) 2026-04-05 19:08:11 +00:00
Hermes Agent
c8d1dd9637 security(input_sanitizer): add 15+ new jailbreak patterns for Issue #87 2026-04-05 18:41:31 +00:00
793 changed files with 16832 additions and 127109 deletions

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@@ -10,6 +10,4 @@ node_modules
.github
# Environment files
.env
*.md
.env

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@@ -7,29 +7,18 @@
# OpenRouter provides access to many models through one API
# All LLM calls go through OpenRouter - no direct provider keys needed
# Get your key at: https://openrouter.ai/keys
# OPENROUTER_API_KEY=
OPENROUTER_API_KEY=
# Default model is configured in ~/.hermes/config.yaml (model.default).
# Use 'hermes model' or 'hermes setup' to change it.
# LLM_MODEL is no longer read from .env — this line is kept for reference only.
# LLM_MODEL=anthropic/claude-opus-4.6
# =============================================================================
# LLM PROVIDER (Google AI Studio / Gemini)
# =============================================================================
# Native Gemini API via Google's OpenAI-compatible endpoint.
# Get your key at: https://aistudio.google.com/app/apikey
# GOOGLE_API_KEY=your_google_ai_studio_key_here
# GEMINI_API_KEY=your_gemini_key_here # alias for GOOGLE_API_KEY
# Optional base URL override (default: Google's OpenAI-compatible endpoint)
# GEMINI_BASE_URL=https://generativelanguage.googleapis.com/v1beta/openai
# Default model to use (OpenRouter format: provider/model)
# Examples: anthropic/claude-opus-4.6, openai/gpt-4o, google/gemini-3-flash-preview, zhipuai/glm-4-plus
LLM_MODEL=anthropic/claude-opus-4.6
# =============================================================================
# LLM PROVIDER (z.ai / GLM)
# =============================================================================
# z.ai provides access to ZhipuAI GLM models (GLM-4-Plus, etc.)
# Get your key at: https://z.ai or https://open.bigmodel.cn
# GLM_API_KEY=
GLM_API_KEY=
# GLM_BASE_URL=https://api.z.ai/api/paas/v4 # Override default base URL
# =============================================================================
@@ -39,7 +28,7 @@
# Get your key at: https://platform.kimi.ai (Kimi Code console)
# Keys prefixed sk-kimi- use the Kimi Code API (api.kimi.com) by default.
# Legacy keys from platform.moonshot.ai need KIMI_BASE_URL override below.
# KIMI_API_KEY=
KIMI_API_KEY=
# KIMI_BASE_URL=https://api.kimi.com/coding/v1 # Default for sk-kimi- keys
# KIMI_BASE_URL=https://api.moonshot.ai/v1 # For legacy Moonshot keys
# KIMI_BASE_URL=https://api.moonshot.cn/v1 # For Moonshot China keys
@@ -49,11 +38,11 @@
# =============================================================================
# MiniMax provides access to MiniMax models (global endpoint)
# Get your key at: https://www.minimax.io
# MINIMAX_API_KEY=
MINIMAX_API_KEY=
# MINIMAX_BASE_URL=https://api.minimax.io/v1 # Override default base URL
# MiniMax China endpoint (for users in mainland China)
# MINIMAX_CN_API_KEY=
MINIMAX_CN_API_KEY=
# MINIMAX_CN_BASE_URL=https://api.minimaxi.com/v1 # Override default base URL
# =============================================================================
@@ -61,7 +50,7 @@
# =============================================================================
# OpenCode Zen provides curated, tested models (GPT, Claude, Gemini, MiniMax, GLM, Kimi)
# Pay-as-you-go pricing. Get your key at: https://opencode.ai/auth
# OPENCODE_ZEN_API_KEY=
OPENCODE_ZEN_API_KEY=
# OPENCODE_ZEN_BASE_URL=https://opencode.ai/zen/v1 # Override default base URL
# =============================================================================
@@ -69,7 +58,7 @@
# =============================================================================
# OpenCode Go provides access to open models (GLM-5, Kimi K2.5, MiniMax M2.5)
# $10/month subscription. Get your key at: https://opencode.ai/auth
# OPENCODE_GO_API_KEY=
OPENCODE_GO_API_KEY=
# =============================================================================
# LLM PROVIDER (Hugging Face Inference Providers)
@@ -78,7 +67,7 @@
# Free tier included ($0.10/month), no markup on provider rates.
# Get your token at: https://huggingface.co/settings/tokens
# Required permission: "Make calls to Inference Providers"
# HF_TOKEN=
HF_TOKEN=
# OPENCODE_GO_BASE_URL=https://opencode.ai/zen/go/v1 # Override default base URL
# =============================================================================
@@ -87,26 +76,26 @@
# Exa API Key - AI-native web search and contents
# Get at: https://exa.ai
# EXA_API_KEY=
EXA_API_KEY=
# Parallel API Key - AI-native web search and extract
# Get at: https://parallel.ai
# PARALLEL_API_KEY=
PARALLEL_API_KEY=
# Firecrawl API Key - Web search, extract, and crawl
# Get at: https://firecrawl.dev/
# FIRECRAWL_API_KEY=
FIRECRAWL_API_KEY=
# FAL.ai API Key - Image generation
# Get at: https://fal.ai/
# FAL_KEY=
FAL_KEY=
# Honcho - Cross-session AI-native user modeling (optional)
# Builds a persistent understanding of the user across sessions and tools.
# Get at: https://app.honcho.dev
# Also requires ~/.honcho/config.json with enabled=true (see README).
# HONCHO_API_KEY=
HONCHO_API_KEY=
# =============================================================================
# TERMINAL TOOL CONFIGURATION
@@ -192,10 +181,10 @@ TERMINAL_LIFETIME_SECONDS=300
# Browserbase API Key - Cloud browser execution
# Get at: https://browserbase.com/
# BROWSERBASE_API_KEY=
BROWSERBASE_API_KEY=
# Browserbase Project ID - From your Browserbase dashboard
# BROWSERBASE_PROJECT_ID=
BROWSERBASE_PROJECT_ID=
# Enable residential proxies for better CAPTCHA solving (default: true)
# Routes traffic through residential IPs, significantly improves success rate
@@ -227,7 +216,7 @@ BROWSER_INACTIVITY_TIMEOUT=120
# Uses OpenAI's API directly (not via OpenRouter).
# Named VOICE_TOOLS_OPENAI_KEY to avoid interference with OpenRouter.
# Get at: https://platform.openai.com/api-keys
# VOICE_TOOLS_OPENAI_KEY=
VOICE_TOOLS_OPENAI_KEY=
# =============================================================================
# SLACK INTEGRATION
@@ -242,21 +231,6 @@ BROWSER_INACTIVITY_TIMEOUT=120
# Slack allowed users (comma-separated Slack user IDs)
# SLACK_ALLOWED_USERS=
# =============================================================================
# TELEGRAM INTEGRATION
# =============================================================================
# Telegram Bot Token - From @BotFather (https://t.me/BotFather)
# TELEGRAM_BOT_TOKEN=
# TELEGRAM_ALLOWED_USERS= # Comma-separated user IDs
# TELEGRAM_HOME_CHANNEL= # Default chat for cron delivery
# TELEGRAM_HOME_CHANNEL_NAME= # Display name for home channel
# Webhook mode (optional — for cloud deployments like Fly.io/Railway)
# Default is long polling. Setting TELEGRAM_WEBHOOK_URL switches to webhook mode.
# TELEGRAM_WEBHOOK_URL=https://my-app.fly.dev/telegram
# TELEGRAM_WEBHOOK_PORT=8443
# TELEGRAM_WEBHOOK_SECRET= # Recommended for production
# WhatsApp (built-in Baileys bridge — run `hermes whatsapp` to pair)
# WHATSAPP_ENABLED=false
# WHATSAPP_ALLOWED_USERS=15551234567
@@ -313,11 +287,11 @@ IMAGE_TOOLS_DEBUG=false
# Tinker API Key - RL training service
# Get at: https://tinker-console.thinkingmachines.ai/keys
# TINKER_API_KEY=
TINKER_API_KEY=
# Weights & Biases API Key - Experiment tracking and metrics
# Get at: https://wandb.ai/authorize
# WANDB_API_KEY=
WANDB_API_KEY=
# RL API Server URL (default: http://localhost:8080)
# Change if running the rl-server on a different host/port

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@@ -1,62 +0,0 @@
name: Forge CI
on:
push:
branches: [main]
pull_request:
branches: [main]
concurrency:
group: forge-ci-${{ gitea.ref }}
cancel-in-progress: true
jobs:
smoke-and-build:
runs-on: ubuntu-latest
timeout-minutes: 10
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Install uv
uses: astral-sh/setup-uv@v5
with:
enable-cache: true
cache-dependency-glob: "uv.lock"
- name: Set up Python 3.11
run: uv python install 3.11
- name: Install package
run: |
uv venv .venv --python 3.11
source .venv/bin/activate
uv pip install -e ".[dev]"
- name: Smoke tests
run: |
source .venv/bin/activate
python scripts/smoke_test.py
env:
OPENROUTER_API_KEY: ""
OPENAI_API_KEY: ""
NOUS_API_KEY: ""
- name: Syntax guard
run: |
source .venv/bin/activate
python scripts/syntax_guard.py
- name: No duplicate models
run: |
source .venv/bin/activate
python scripts/check_no_duplicate_models.py
- name: Green-path E2E
run: |
source .venv/bin/activate
python -m pytest tests/test_green_path_e2e.py -q --tb=short -p no:xdist
env:
OPENROUTER_API_KEY: ""
OPENAI_API_KEY: ""
NOUS_API_KEY: ""

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@@ -1,44 +0,0 @@
name: Notebook CI
on:
push:
paths:
- 'notebooks/**'
pull_request:
paths:
- 'notebooks/**'
jobs:
notebook-smoke:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Setup Python
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: Install dependencies
run: |
pip install papermill jupytext nbformat
python -m ipykernel install --user --name python3
- name: Execute system health notebook
run: |
papermill notebooks/agent_task_system_health.ipynb /tmp/output.ipynb \
-p threshold 0.5 \
-p hostname ci-runner
- name: Verify output has results
run: |
python -c "
import json
nb = json.load(open('/tmp/output.ipynb'))
code_cells = [c for c in nb['cells'] if c['cell_type'] == 'code']
outputs = [c.get('outputs', []) for c in code_cells]
total_outputs = sum(len(o) for o in outputs)
assert total_outputs > 0, 'Notebook produced no outputs'
print(f'Notebook executed successfully with {total_outputs} output(s)')
"

13
.github/CODEOWNERS vendored
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@@ -1,13 +0,0 @@
# Default owners for all files
* @Timmy
# Critical paths require explicit review
/gateway/ @Timmy
/tools/ @Timmy
/agent/ @Timmy
/config/ @Timmy
/scripts/ @Timmy
/.github/workflows/ @Timmy
/pyproject.toml @Timmy
/requirements.txt @Timmy
/Dockerfile @Timmy

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@@ -1,99 +0,0 @@
name: "🔒 Security PR Checklist"
description: "Use this when your PR touches authentication, file I/O, external API calls, or other sensitive paths."
title: "[Security Review]: "
labels: ["security", "needs-review"]
body:
- type: markdown
attributes:
value: |
## Security Pre-Merge Review
Complete this checklist before requesting review on PRs that touch **authentication, file I/O, external API calls, or secrets handling**.
- type: input
id: pr-link
attributes:
label: Pull Request
description: Link to the PR being reviewed
placeholder: "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/pulls/XXX"
validations:
required: true
- type: dropdown
id: change-type
attributes:
label: Change Category
description: What kind of sensitive change does this PR make?
multiple: true
options:
- Authentication / Authorization
- File I/O (read/write/delete)
- External API calls (outbound HTTP/network)
- Secret / credential handling
- Command execution (subprocess/shell)
- Dependency addition or update
- Configuration changes
- CI/CD pipeline changes
validations:
required: true
- type: checkboxes
id: secrets-checklist
attributes:
label: Secrets & Credentials
options:
- label: No secrets, API keys, or credentials are hardcoded
required: true
- label: All sensitive values are loaded from environment variables or a secrets manager
required: true
- label: Test fixtures use fake/placeholder values, not real credentials
required: true
- type: checkboxes
id: input-validation-checklist
attributes:
label: Input Validation
options:
- label: All external input (user, API, file) is validated before use
required: true
- label: File paths are validated against path traversal (`../`, null bytes, absolute paths)
- label: URLs are validated for SSRF (blocked private/metadata IPs)
- label: Shell commands do not use `shell=True` with user-controlled input
- type: checkboxes
id: auth-checklist
attributes:
label: Authentication & Authorization (if applicable)
options:
- label: Authentication tokens are not logged or exposed in error messages
- label: Authorization checks happen server-side, not just client-side
- label: Session tokens are properly scoped and have expiry
- type: checkboxes
id: supply-chain-checklist
attributes:
label: Supply Chain
options:
- label: New dependencies are pinned to a specific version range
- label: Dependencies come from trusted sources (PyPI, npm, official repos)
- label: No `.pth` files or install hooks that execute arbitrary code
- label: "`pip-audit` passes (no known CVEs in added dependencies)"
- type: textarea
id: threat-model
attributes:
label: Threat Model Notes
description: |
Briefly describe the attack surface this change introduces or modifies, and how it is mitigated.
placeholder: |
This PR adds a new outbound HTTP call to the OpenRouter API.
Mitigation: URL is hardcoded (no user input), response is parsed with strict schema validation.
- type: textarea
id: testing
attributes:
label: Security Testing Done
description: What security testing did you perform?
placeholder: |
- Ran validate_security.py — all checks pass
- Tested path traversal attempts manually
- Verified no secrets in git diff

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@@ -1,83 +0,0 @@
name: Dependency Audit
on:
pull_request:
branches: [main]
paths:
- 'requirements.txt'
- 'pyproject.toml'
- 'uv.lock'
schedule:
- cron: '0 8 * * 1' # Weekly on Monday
workflow_dispatch:
permissions:
pull-requests: write
contents: read
jobs:
audit:
name: Audit Python dependencies
runs-on: ubuntu-latest
container: catthehacker/ubuntu:act-22.04
steps:
- uses: actions/checkout@v4
- uses: astral-sh/setup-uv@v5
- name: Set up Python
run: uv python install 3.11
- name: Install pip-audit
run: uv pip install --system pip-audit
- name: Run pip-audit
id: audit
run: |
set -euo pipefail
# Run pip-audit against the lock file/requirements
if pip-audit --requirement requirements.txt -f json -o /tmp/audit-results.json 2>/tmp/audit-stderr.txt; then
echo "found=false" >> "$GITHUB_OUTPUT"
else
echo "found=true" >> "$GITHUB_OUTPUT"
# Check severity
CRITICAL=$(python3 -c "
import json, sys
data = json.load(open('/tmp/audit-results.json'))
vulns = data.get('dependencies', [])
for d in vulns:
for v in d.get('vulns', []):
aliases = v.get('aliases', [])
# Check for critical/high CVSS
if any('CVSS' in str(a) for a in aliases):
print('true')
sys.exit(0)
print('false')
" 2>/dev/null || echo 'false')
echo "critical=${CRITICAL}" >> "$GITHUB_OUTPUT"
fi
continue-on-error: true
- name: Post results comment
if: steps.audit.outputs.found == 'true' && github.event_name == 'pull_request'
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
BODY="## ⚠️ Dependency Vulnerabilities Detected
\`pip-audit\` found vulnerable dependencies in this PR. Review and update before merging.
\`\`\`
$(cat /tmp/audit-results.json | python3 -c "
import json, sys
data = json.load(sys.stdin)
for dep in data.get('dependencies', []):
for v in dep.get('vulns', []):
print(f\" {dep['name']}=={dep['version']}: {v['id']} - {v.get('description', '')[:120]}\")
" 2>/dev/null || cat /tmp/audit-stderr.txt)
\`\`\`
---
*Automated scan by [dependency-audit](/.github/workflows/dependency-audit.yml)*"
gh pr comment "${{ github.event.pull_request.number }}" --body "$BODY"
- name: Fail on vulnerabilities
if: steps.audit.outputs.found == 'true'
run: |
echo "::error::Vulnerable dependencies detected. See PR comment for details."
cat /tmp/audit-results.json | python3 -m json.tool || true
exit 1

View File

@@ -6,8 +6,6 @@ on:
paths:
- 'website/**'
- 'landingpage/**'
- 'skills/**'
- 'optional-skills/**'
- '.github/workflows/deploy-site.yml'
workflow_dispatch:
@@ -21,8 +19,6 @@ concurrency:
jobs:
build-and-deploy:
# Only run on the upstream repository, not on forks
if: github.repository == 'NousResearch/hermes-agent'
runs-on: ubuntu-latest
environment:
name: github-pages
@@ -36,24 +32,6 @@ jobs:
cache: npm
cache-dependency-path: website/package-lock.json
- uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: Install PyYAML for skill extraction
run: pip install pyyaml httpx
- name: Extract skill metadata for dashboard
run: python3 website/scripts/extract-skills.py
- name: Build skills index (if not already present)
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
if [ ! -f website/static/api/skills-index.json ]; then
python3 scripts/build_skills_index.py || echo "Skills index build failed (non-fatal)"
fi
- name: Install dependencies
run: npm ci
working-directory: website

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@@ -5,8 +5,6 @@ on:
branches: [main]
pull_request:
branches: [main]
release:
types: [published]
concurrency:
group: docker-${{ github.ref }}
@@ -14,8 +12,6 @@ concurrency:
jobs:
build-and-push:
# Only run on the upstream repository, not on forks
if: github.repository == 'NousResearch/hermes-agent'
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
@@ -45,13 +41,13 @@ jobs:
nousresearch/hermes-agent:test --help
- name: Log in to Docker Hub
if: github.event_name == 'push' && github.ref == 'refs/heads/main' || github.event_name == 'release'
if: github.event_name == 'push' && github.ref == 'refs/heads/main'
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Push image (main branch)
- name: Push image
if: github.event_name == 'push' && github.ref == 'refs/heads/main'
uses: docker/build-push-action@v6
with:
@@ -63,17 +59,3 @@ jobs:
nousresearch/hermes-agent:${{ github.sha }}
cache-from: type=gha
cache-to: type=gha,mode=max
- name: Push image (release)
if: github.event_name == 'release'
uses: docker/build-push-action@v6
with:
context: .
file: Dockerfile
push: true
tags: |
nousresearch/hermes-agent:latest
nousresearch/hermes-agent:${{ github.event.release.tag_name }}
nousresearch/hermes-agent:${{ github.sha }}
cache-from: type=gha
cache-to: type=gha,mode=max

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@@ -10,7 +10,6 @@ on:
jobs:
docs-site-checks:
runs-on: ubuntu-latest
container: catthehacker/ubuntu:act-22.04
steps:
- uses: actions/checkout@v4
@@ -28,11 +27,8 @@ jobs:
with:
python-version: '3.11'
- name: Install Python dependencies
run: python -m pip install ascii-guard pyyaml
- name: Extract skill metadata for dashboard
run: python3 website/scripts/extract-skills.py
- name: Install ascii-guard
run: python -m pip install ascii-guard
- name: Lint docs diagrams
run: npm run lint:diagrams

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@@ -1,115 +0,0 @@
name: Quarterly Security Audit
on:
schedule:
# Run at 08:00 UTC on the first day of each quarter (Jan, Apr, Jul, Oct)
- cron: '0 8 1 1,4,7,10 *'
workflow_dispatch:
inputs:
reason:
description: 'Reason for manual trigger'
required: false
default: 'Manual quarterly audit'
permissions:
issues: write
contents: read
jobs:
create-audit-issue:
name: Create quarterly security audit issue
runs-on: ubuntu-latest
container: catthehacker/ubuntu:act-22.04
steps:
- uses: actions/checkout@v4
- name: Get quarter info
id: quarter
run: |
MONTH=$(date +%-m)
YEAR=$(date +%Y)
QUARTER=$(( (MONTH - 1) / 3 + 1 ))
echo "quarter=Q${QUARTER}-${YEAR}" >> "$GITHUB_OUTPUT"
echo "year=${YEAR}" >> "$GITHUB_OUTPUT"
echo "q=${QUARTER}" >> "$GITHUB_OUTPUT"
- name: Create audit issue
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
QUARTER="${{ steps.quarter.outputs.quarter }}"
gh issue create \
--title "[$QUARTER] Quarterly Security Audit" \
--label "security,audit" \
--body "$(cat <<'BODY'
## Quarterly Security Audit — ${{ steps.quarter.outputs.quarter }}
This is the scheduled quarterly security audit for the hermes-agent project. Complete each section and close this issue when the audit is done.
**Audit Period:** ${{ steps.quarter.outputs.quarter }}
**Due:** End of quarter
**Owner:** Assign to a maintainer
---
## 1. Open Issues & PRs Audit
Review all open issues and PRs for security-relevant content. Tag any that touch attack surfaces with the `security` label.
- [ ] Review open issues older than 30 days for unaddressed security concerns
- [ ] Tag security-relevant open PRs with `needs-security-review`
- [ ] Check for any issues referencing CVEs or known vulnerabilities
- [ ] Review recently closed security issues — are fixes deployed?
## 2. Dependency Audit
- [ ] Run `pip-audit` against current `requirements.txt` / `pyproject.toml`
- [ ] Check `uv.lock` for any pinned versions with known CVEs
- [ ] Review any `git+` dependencies for recent changes or compromise signals
- [ ] Update vulnerable dependencies and open PRs for each
## 3. Critical Path Review
Review recent changes to attack-surface paths:
- [ ] `gateway/` — authentication, message routing, platform adapters
- [ ] `tools/` — file I/O, command execution, web access
- [ ] `agent/` — prompt handling, context management
- [ ] `config/` — secrets loading, configuration parsing
- [ ] `.github/workflows/` — CI/CD integrity
Run: `git log --since="3 months ago" --name-only -- gateway/ tools/ agent/ config/ .github/workflows/`
## 4. Secret Scan
- [ ] Run secret scanner on the full codebase (not just diffs)
- [ ] Verify no credentials are present in git history
- [ ] Confirm all API keys/tokens in use are rotated on a regular schedule
## 5. Access & Permissions Review
- [ ] Review who has write access to the main branch
- [ ] Confirm branch protection rules are still in place (require PR + review)
- [ ] Verify CI/CD secrets are scoped correctly (not over-permissioned)
- [ ] Review CODEOWNERS file for accuracy
## 6. Vulnerability Triage
List any new vulnerabilities found this quarter:
| ID | Component | Severity | Status | Owner |
|----|-----------|----------|--------|-------|
| | | | | |
## 7. Action Items
| Action | Owner | Due Date | Status |
|--------|-------|----------|--------|
| | | | |
---
*Auto-generated by [quarterly-security-audit](/.github/workflows/quarterly-security-audit.yml). Close this issue when the audit is complete.*
BODY
)"

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@@ -1,137 +0,0 @@
name: Secret Scan
on:
pull_request:
types: [opened, synchronize, reopened]
permissions:
pull-requests: write
contents: read
jobs:
scan:
name: Scan for secrets
runs-on: ubuntu-latest
container: catthehacker/ubuntu:act-22.04
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Fetch base branch
run: git fetch origin ${{ github.base_ref }}
- name: Scan diff for secrets
id: scan
run: |
set -euo pipefail
# Get only added lines from the diff (exclude deletions and context lines)
DIFF=$(git diff "origin/${{ github.base_ref }}"...HEAD -- \
':!*.lock' ':!uv.lock' ':!package-lock.json' ':!yarn.lock' \
| grep '^+' | grep -v '^+++' || true)
FINDINGS=""
CRITICAL=false
check() {
local label="$1"
local pattern="$2"
local critical="${3:-false}"
local matches
matches=$(echo "$DIFF" | grep -oP "$pattern" || true)
if [ -n "$matches" ]; then
FINDINGS="${FINDINGS}\n- **${label}**: pattern matched"
if [ "$critical" = "true" ]; then
CRITICAL=true
fi
fi
}
# AWS keys — critical
check "AWS Access Key" 'AKIA[0-9A-Z]{16}' true
# Private key headers — critical
check "Private Key Header" '-----BEGIN (RSA|EC|DSA|OPENSSH|PGP) PRIVATE KEY' true
# OpenAI / Anthropic style keys
check "OpenAI-style API key (sk-)" 'sk-[a-zA-Z0-9]{20,}' false
# GitHub tokens
check "GitHub personal access token (ghp_)" 'ghp_[a-zA-Z0-9]{36}' true
check "GitHub fine-grained PAT (github_pat_)" 'github_pat_[a-zA-Z0-9_]{1,}' true
# Slack tokens
check "Slack bot token (xoxb-)" 'xoxb-[0-9A-Za-z\-]{10,}' true
check "Slack user token (xoxp-)" 'xoxp-[0-9A-Za-z\-]{10,}' true
# Generic assignment patterns — exclude obvious placeholders
GENERIC=$(echo "$DIFF" | grep -iP '(api_key|apikey|api-key|secret_key|access_token|auth_token)\s*[=:]\s*['"'"'"][^'"'"'"]{20,}['"'"'"]' \
| grep -ivP '(fake|mock|test|placeholder|example|dummy|your[_-]|xxx|<|>|\{\{)' || true)
if [ -n "$GENERIC" ]; then
FINDINGS="${FINDINGS}\n- **Generic credential assignment**: possible hardcoded secret"
fi
# .env additions with long values
ENV_DIFF=$(git diff "origin/${{ github.base_ref }}"...HEAD -- '*.env' '**/.env' '.env*' \
| grep '^+' | grep -v '^+++' || true)
ENV_MATCHES=$(echo "$ENV_DIFF" | grep -P '^[A-Z_]+=.{16,}' \
| grep -ivP '(fake|mock|test|placeholder|example|dummy|your[_-]|xxx)' || true)
if [ -n "$ENV_MATCHES" ]; then
FINDINGS="${FINDINGS}\n- **.env file**: lines with potentially real secret values detected"
fi
# Write outputs
if [ -n "$FINDINGS" ]; then
echo "found=true" >> "$GITHUB_OUTPUT"
else
echo "found=false" >> "$GITHUB_OUTPUT"
fi
if [ "$CRITICAL" = "true" ]; then
echo "critical=true" >> "$GITHUB_OUTPUT"
else
echo "critical=false" >> "$GITHUB_OUTPUT"
fi
# Store findings in a file to use in comment step
printf "%b" "$FINDINGS" > /tmp/secret-findings.txt
- name: Post PR comment with findings
if: steps.scan.outputs.found == 'true' && github.event_name == 'pull_request'
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
FINDINGS=$(cat /tmp/secret-findings.txt)
SEVERITY="warning"
if [ "${{ steps.scan.outputs.critical }}" = "true" ]; then
SEVERITY="CRITICAL"
fi
BODY="## Secret Scan — ${SEVERITY} findings
The automated secret scanner detected potential secrets in the diff for this PR.
### Findings
${FINDINGS}
### What to do
1. Remove any real credentials from the diff immediately.
2. If the match is a false positive (test fixture, placeholder), add a comment explaining why or rename the variable to include \`fake\`, \`mock\`, or \`test\`.
3. Rotate any exposed credentials regardless of whether this PR is merged.
---
*Automated scan by [secret-scan](/.github/workflows/secret-scan.yml)*"
gh pr comment "${{ github.event.pull_request.number }}" --body "$BODY"
- name: Fail on critical secrets
if: steps.scan.outputs.critical == 'true'
run: |
echo "::error::Critical secrets detected in diff (private keys, AWS keys, or GitHub tokens). Remove them before merging."
exit 1
- name: Warn on non-critical findings
if: steps.scan.outputs.found == 'true' && steps.scan.outputs.critical == 'false'
run: |
echo "::warning::Potential secrets detected in diff. Review the PR comment for details."

View File

@@ -1,101 +0,0 @@
name: Build Skills Index
on:
schedule:
# Run twice daily: 6 AM and 6 PM UTC
- cron: '0 6,18 * * *'
workflow_dispatch: # Manual trigger
push:
branches: [main]
paths:
- 'scripts/build_skills_index.py'
- '.github/workflows/skills-index.yml'
permissions:
contents: read
jobs:
build-index:
# Only run on the upstream repository, not on forks
if: github.repository == 'NousResearch/hermes-agent'
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: Install dependencies
run: pip install httpx pyyaml
- name: Build skills index
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: python scripts/build_skills_index.py
- name: Upload index artifact
uses: actions/upload-artifact@v4
with:
name: skills-index
path: website/static/api/skills-index.json
retention-days: 7
deploy-with-index:
needs: build-index
runs-on: ubuntu-latest
permissions:
pages: write
id-token: write
environment:
name: github-pages
url: ${{ steps.deploy.outputs.page_url }}
# Only deploy on schedule or manual trigger (not on every push to the script)
if: github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
steps:
- uses: actions/checkout@v4
- uses: actions/download-artifact@v4
with:
name: skills-index
path: website/static/api/
- uses: actions/setup-node@v4
with:
node-version: 20
cache: npm
cache-dependency-path: website/package-lock.json
- uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: Install PyYAML for skill extraction
run: pip install pyyaml
- name: Extract skill metadata for dashboard
run: python3 website/scripts/extract-skills.py
- name: Install dependencies
run: npm ci
working-directory: website
- name: Build Docusaurus
run: npm run build
working-directory: website
- name: Stage deployment
run: |
mkdir -p _site/docs
cp -r landingpage/* _site/
cp -r website/build/* _site/docs/
echo "hermes-agent.nousresearch.com" > _site/CNAME
- name: Upload artifact
uses: actions/upload-pages-artifact@v3
with:
path: _site
- name: Deploy to GitHub Pages
id: deploy
uses: actions/deploy-pages@v4

View File

@@ -12,7 +12,6 @@ jobs:
scan:
name: Scan PR for supply chain risks
runs-on: ubuntu-latest
container: catthehacker/ubuntu:act-22.04
steps:
- name: Checkout
uses: actions/checkout@v4

View File

@@ -14,7 +14,6 @@ concurrency:
jobs:
test:
runs-on: ubuntu-latest
container: catthehacker/ubuntu:act-22.04
timeout-minutes: 10
steps:
- name: Checkout code
@@ -35,37 +34,9 @@ jobs:
- name: Run tests
run: |
source .venv/bin/activate
python -m pytest tests/ -q --ignore=tests/integration --ignore=tests/e2e --tb=short -n auto
python -m pytest tests/ -q --ignore=tests/integration --tb=short -n auto
env:
# Ensure tests don't accidentally call real APIs
OPENROUTER_API_KEY: ""
OPENAI_API_KEY: ""
NOUS_API_KEY: ""
e2e:
runs-on: ubuntu-latest
timeout-minutes: 10
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Install uv
uses: astral-sh/setup-uv@v5
- name: Set up Python 3.11
run: uv python install 3.11
- name: Install dependencies
run: |
uv venv .venv --python 3.11
source .venv/bin/activate
uv pip install -e ".[all,dev]"
- name: Run e2e tests
run: |
source .venv/bin/activate
python -m pytest tests/e2e/ -v --tb=short
env:
OPENROUTER_API_KEY: ""
OPENAI_API_KEY: ""
NOUS_API_KEY: ""

3
.gitignore vendored
View File

@@ -58,6 +58,3 @@ mini-swe-agent/
# Nix
.direnv/
result
# OpenClaw artifacts (banned)
.claw/

View File

@@ -1,25 +0,0 @@
repos:
# Secret detection
- repo: https://github.com/gitleaks/gitleaks
rev: v8.21.2
hooks:
- id: gitleaks
name: Detect secrets with gitleaks
description: Detect hardcoded secrets, API keys, and credentials
# Basic security hygiene
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v5.0.0
hooks:
- id: check-added-large-files
args: ['--maxkb=500']
- id: detect-private-key
name: Detect private keys
- id: check-merge-conflict
- id: check-yaml
- id: check-toml
- id: end-of-file-fixer
- id: trailing-whitespace
args: ['--markdown-linebreak-ext=md']
- id: no-commit-to-branch
args: ['--branch', 'main']

131
BOOT.md
View File

@@ -1,131 +0,0 @@
# BOOT.md — Hermes Agent
Fast path from clone to productive. Target: <10 minutes.
---
## 1. Prerequisites
| Tool | Why |
|---|---|
| Git | Clone + submodules |
| Python 3.11+ | Runtime requirement |
| uv | Package manager (install: `curl -LsSf https://astral.sh/uv/install.sh \| sh`) |
| Node.js 18+ | Optional — browser tools, WhatsApp bridge |
---
## 2. First-Time Setup
```bash
git clone --recurse-submodules https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent.git
cd hermes-agent
# Create venv
uv venv .venv --python 3.11
source .venv/bin/activate
# Install with all extras + dev tools
uv pip install -e ".[all,dev]"
```
> **Common pitfall:** If `uv` is not on PATH, the `setup-hermes.sh` script will attempt to install it, but manual `uv` install is faster.
---
## 3. Smoke Tests (< 30 sec)
```bash
python scripts/smoke_test.py
```
Expected output:
```
OK: 4 core imports
OK: 1 CLI entrypoints
Smoke tests passed.
```
If imports fail with `ModuleNotFoundError`, re-run: `uv pip install -e ".[all,dev]"`
---
## 4. Full Test Suite (excluding integration)
```bash
pytest tests/ -x --ignore=tests/integration
```
> Integration tests require a running gateway + API keys. Skip them unless you are testing platform connectivity.
---
## 5. Run the CLI
```bash
python cli.py --help
```
To start the gateway (after configuring `~/.hermes/config.yaml`):
```bash
hermes gateway run
```
---
## 6. Repo Layout for Agents
| Path | What lives here |
|---|---|
| `cli.py` | Main entrypoint |
| `hermes/` | Core agent logic |
| `toolsets/` | Built-in tool implementations |
| `skills/` | Bundled skills (loaded automatically) |
| `optional-skills/` | Official but opt-in skills |
| `tests/` | pytest suite |
| `scripts/` | Utility scripts (smoke tests, deploy validation, etc.) |
| `.gitea/workflows/` | Forge CI (smoke + build) |
| `.github/workflows/` | GitHub mirror CI |
---
## 7. Gitea Workflow Conventions
- **Push to `main`**: triggers `ci.yml` (smoke + build, < 5 min)
- **Pull requests**: same CI + notebook CI if notebooks changed
- **Merge requirement**: green smoke tests
- Security scans run on schedule via `.github/workflows/`
---
## 8. Common Pitfalls
| Symptom | Fix |
|---|---|
| `No module named httpx` | `uv pip install -e ".[all,dev]"` |
| `prompt_toolkit` missing | Included in `[all]`, but install explicitly if you used minimal deps |
| CLI hangs on start | Check `~/.hermes/config.yaml` exists and is valid YAML |
| API key errors | Copy `.env.example``.env` and fill required keys |
| Browser tools fail | Run `npm install` in repo root |
---
## 9. Quick Reference
```bash
# Reinstall after dependency changes
uv pip install -e ".[all,dev]"
# Run only smoke tests
python scripts/smoke_test.py
# Run syntax guard
python scripts/syntax_guard.py
# Start gateway
hermes gateway run
```
---
*Last updated: 2026-04-07 by Bezalel*

File diff suppressed because it is too large Load Diff

569
DEPLOY.md
View File

@@ -1,569 +0,0 @@
# Hermes Agent — Sovereign Deployment Runbook
> **Goal**: A new VPS can go from bare OS to a running Hermes instance in under 30 minutes using only this document.
---
## Table of Contents
1. [Prerequisites](#1-prerequisites)
2. [Environment Setup](#2-environment-setup)
3. [Secret Injection](#3-secret-injection)
4. [Installation](#4-installation)
5. [Starting the Stack](#5-starting-the-stack)
6. [Health Checks](#6-health-checks)
7. [Stop / Restart Procedures](#7-stop--restart-procedures)
8. [Zero-Downtime Restart](#8-zero-downtime-restart)
9. [Rollback Procedure](#9-rollback-procedure)
10. [Database / State Migrations](#10-database--state-migrations)
11. [Docker Compose Deployment](#11-docker-compose-deployment)
12. [systemd Deployment](#12-systemd-deployment)
13. [Monitoring & Logs](#13-monitoring--logs)
14. [Security Checklist](#14-security-checklist)
15. [Troubleshooting](#15-troubleshooting)
---
## 1. Prerequisites
| Requirement | Minimum | Recommended |
|-------------|---------|-------------|
| OS | Ubuntu 22.04 LTS | Ubuntu 24.04 LTS |
| RAM | 512 MB | 2 GB |
| CPU | 1 vCPU | 2 vCPU |
| Disk | 5 GB | 20 GB |
| Python | 3.11 | 3.12 |
| Node.js | 18 | 20 |
| Git | any | any |
**Optional but recommended:**
- Docker Engine ≥ 24 + Compose plugin (for containerised deployment)
- `curl`, `jq` (for health-check scripting)
---
## 2. Environment Setup
### 2a. Create a dedicated system user (bare-metal deployments)
```bash
sudo useradd -m -s /bin/bash hermes
sudo su - hermes
```
### 2b. Install Hermes
```bash
# Official one-liner installer
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash
# Reload PATH so `hermes` is available
source ~/.bashrc
```
The installer places:
- The agent code at `~/.local/lib/python3.x/site-packages/` (pip editable install)
- The `hermes` entry point at `~/.local/bin/hermes`
- Default config directory at `~/.hermes/`
### 2c. Verify installation
```bash
hermes --version
hermes doctor
```
---
## 3. Secret Injection
**Rule: secrets never live in the repository. They live only in `~/.hermes/.env`.**
```bash
# Copy the template (do NOT edit the repo copy)
cp /path/to/hermes-agent/.env.example ~/.hermes/.env
chmod 600 ~/.hermes/.env
# Edit with your preferred editor
nano ~/.hermes/.env
```
### Minimum required keys
| Variable | Purpose | Where to get it |
|----------|---------|----------------|
| `OPENROUTER_API_KEY` | LLM inference | https://openrouter.ai/keys |
| `TELEGRAM_BOT_TOKEN` | Telegram gateway | @BotFather on Telegram |
### Optional but common keys
| Variable | Purpose |
|----------|---------|
| `DISCORD_BOT_TOKEN` | Discord gateway |
| `SLACK_BOT_TOKEN` + `SLACK_APP_TOKEN` | Slack gateway |
| `EXA_API_KEY` | Web search tool |
| `FAL_KEY` | Image generation |
| `ANTHROPIC_API_KEY` | Direct Anthropic inference |
### Pre-flight validation
Before starting the stack, run:
```bash
python scripts/deploy-validate --check-ports --skip-health
```
This catches missing keys, placeholder values, and misconfigurations without touching running services.
---
## 4. Installation
### 4a. Clone the repository (if not using the installer)
```bash
git clone https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent.git
cd hermes-agent
pip install -e ".[all]" --user
npm install
```
### 4b. Run the setup wizard
```bash
hermes setup
```
The wizard configures your LLM provider, messaging platforms, and data directory interactively.
---
## 5. Starting the Stack
### Bare-metal (foreground — useful for first run)
```bash
# Agent + gateway combined
hermes gateway start
# Or just the CLI agent (no messaging)
hermes
```
### Bare-metal (background daemon)
```bash
hermes gateway start &
echo $! > ~/.hermes/gateway.pid
```
### Via systemd (recommended for production)
See [Section 12](#12-systemd-deployment).
### Via Docker Compose
See [Section 11](#11-docker-compose-deployment).
---
## 6. Health Checks
### 6a. API server liveness probe
The API server (enabled via `api_server` platform in gateway config) exposes `/health`:
```bash
curl -s http://127.0.0.1:8642/health | jq .
```
Expected response:
```json
{
"status": "ok",
"platform": "hermes-agent",
"version": "0.5.0",
"uptime_seconds": 123,
"gateway_state": "running",
"platforms": {
"telegram": {"state": "connected"},
"discord": {"state": "connected"}
}
}
```
| Field | Meaning |
|-------|---------|
| `status` | `"ok"` — HTTP server is alive. Any non-200 = down. |
| `gateway_state` | `"running"` — all platforms started. `"starting"` — still initialising. |
| `platforms` | Per-adapter connection state. |
### 6b. Gateway runtime status file
```bash
cat ~/.hermes/gateway_state.json | jq '{state: .gateway_state, platforms: .platforms}'
```
### 6c. Deploy-validate script
```bash
python scripts/deploy-validate
```
Runs all checks and prints a pass/fail summary. Exit code 0 = healthy.
### 6d. systemd health
```bash
systemctl status hermes-gateway
journalctl -u hermes-gateway --since "5 minutes ago"
```
---
## 7. Stop / Restart Procedures
### Graceful stop
```bash
# systemd
sudo systemctl stop hermes-gateway
# Docker Compose
docker compose -f deploy/docker-compose.yml down
# Process signal (if running ad-hoc)
kill -TERM $(cat ~/.hermes/gateway.pid)
```
### Restart
```bash
# systemd
sudo systemctl restart hermes-gateway
# Docker Compose
docker compose -f deploy/docker-compose.yml restart hermes
# Ad-hoc
hermes gateway start --replace
```
The `--replace` flag removes stale PID/lock files from an unclean shutdown before starting.
---
## 8. Zero-Downtime Restart
Hermes is a stateful long-running process (persistent sessions, active cron jobs). True zero-downtime requires careful sequencing.
### Strategy A — systemd rolling restart (recommended)
systemd's `Restart=on-failure` with a 5-second back-off ensures automatic recovery from crashes. For intentional restarts, use:
```bash
sudo systemctl reload-or-restart hermes-gateway
```
`hermes-gateway.service` uses `TimeoutStopSec=30` so in-flight agent turns finish before the old process dies.
> **Note:** Active messaging conversations will see a brief pause (< 30 s) while the gateway reconnects to platforms. The session store is file-based and persists across restarts — conversations resume where they left off.
### Strategy B — Blue/green with two HERMES_HOME directories
For zero-downtime where even a brief pause is unacceptable:
```bash
# 1. Prepare the new environment (different HERMES_HOME)
export HERMES_HOME=/home/hermes/.hermes-green
hermes setup # configure green env with same .env
# 2. Start green on a different port (e.g. 8643)
API_SERVER_PORT=8643 hermes gateway start &
# 3. Verify green is healthy
curl -s http://127.0.0.1:8643/health | jq .gateway_state
# 4. Switch load balancer (nginx/caddy) to port 8643
# 5. Gracefully stop blue
kill -TERM $(cat ~/.hermes/.hermes/gateway.pid)
```
### Strategy C — Docker Compose rolling update
```bash
# Pull the new image
docker compose -f deploy/docker-compose.yml pull hermes
# Recreate with zero-downtime if you have a replicated setup
docker compose -f deploy/docker-compose.yml up -d --no-deps hermes
```
Docker stops the old container only after the new one passes its healthcheck.
---
## 9. Rollback Procedure
### 9a. Code rollback (pip install)
```bash
# Find the previous version tag
git log --oneline --tags | head -10
# Roll back to a specific tag
git checkout v0.4.0
pip install -e ".[all]" --user --quiet
# Restart the gateway
sudo systemctl restart hermes-gateway
```
### 9b. Docker image rollback
```bash
# Pull a specific version
docker pull ghcr.io/nousresearch/hermes-agent:v0.4.0
# Update docker-compose.yml image tag, then:
docker compose -f deploy/docker-compose.yml up -d
```
### 9c. State / data rollback
The data directory (`~/.hermes/` or the Docker volume `hermes_data`) contains sessions, memories, cron jobs, and the response store. Back it up before every update:
```bash
# Backup (run BEFORE updating)
tar czf ~/backups/hermes_data_$(date +%F_%H%M).tar.gz ~/.hermes/
# Restore from backup
sudo systemctl stop hermes-gateway
rm -rf ~/.hermes/
tar xzf ~/backups/hermes_data_2026-04-06_1200.tar.gz -C ~/
sudo systemctl start hermes-gateway
```
> **Tested rollback**: The rollback procedure above was validated in staging on 2026-04-06. Data integrity was confirmed by checking session count before/after: `ls ~/.hermes/sessions/ | wc -l`.
---
## 10. Database / State Migrations
Hermes uses two persistent stores:
| Store | Location | Format |
|-------|----------|--------|
| Session store | `~/.hermes/sessions/*.json` | JSON files |
| Response store (API server) | `~/.hermes/response_store.db` | SQLite WAL |
| Gateway state | `~/.hermes/gateway_state.json` | JSON |
| Memories | `~/.hermes/memories/*.md` | Markdown files |
| Cron jobs | `~/.hermes/cron/*.json` | JSON files |
### Migration steps (between versions)
1. **Stop** the gateway before migrating.
2. **Backup** the data directory (see Section 9c).
3. **Check release notes** for migration instructions (see `RELEASE_*.md`).
4. **Run** `hermes doctor` after starting the new version — it validates state compatibility.
5. **Verify** health via `python scripts/deploy-validate`.
There are currently no SQL migrations to run manually. The SQLite schema is
created automatically on first use with `CREATE TABLE IF NOT EXISTS`.
---
## 11. Docker Compose Deployment
### First-time setup
```bash
# 1. Copy .env.example to .env in the repo root
cp .env.example .env
nano .env # fill in your API keys
# 2. Validate config before starting
python scripts/deploy-validate --skip-health
# 3. Start the stack
docker compose -f deploy/docker-compose.yml up -d
# 4. Watch startup logs
docker compose -f deploy/docker-compose.yml logs -f
# 5. Verify health
curl -s http://127.0.0.1:8642/health | jq .
```
### Updating to a new version
```bash
# Pull latest image
docker compose -f deploy/docker-compose.yml pull
# Recreate container (Docker waits for healthcheck before stopping old)
docker compose -f deploy/docker-compose.yml up -d
# Watch logs
docker compose -f deploy/docker-compose.yml logs -f --since 2m
```
### Data backup (Docker)
```bash
docker run --rm \
-v hermes_data:/data \
-v $(pwd)/backups:/backup \
alpine tar czf /backup/hermes_data_$(date +%F).tar.gz /data
```
---
## 12. systemd Deployment
### Install unit files
```bash
# From the repo root
sudo cp deploy/hermes-agent.service /etc/systemd/system/
sudo cp deploy/hermes-gateway.service /etc/systemd/system/
sudo systemctl daemon-reload
# Enable on boot + start now
sudo systemctl enable --now hermes-gateway
# (Optional) also run the CLI agent as a background service
# sudo systemctl enable --now hermes-agent
```
### Adjust the unit file for your user/paths
Edit `/etc/systemd/system/hermes-gateway.service`:
```ini
[Service]
User=youruser # change from 'hermes'
WorkingDirectory=/home/youruser
EnvironmentFile=/home/youruser/.hermes/.env
ExecStart=/home/youruser/.local/bin/hermes gateway start --replace
```
Then:
```bash
sudo systemctl daemon-reload
sudo systemctl restart hermes-gateway
```
### Verify
```bash
systemctl status hermes-gateway
journalctl -u hermes-gateway -f
```
---
## 13. Monitoring & Logs
### Log locations
| Log | Location |
|-----|----------|
| Gateway (systemd) | `journalctl -u hermes-gateway` |
| Gateway (Docker) | `docker compose logs hermes` |
| Session trajectories | `~/.hermes/logs/session_*.json` |
| Deploy events | `~/.hermes/logs/deploy.log` |
| Runtime state | `~/.hermes/gateway_state.json` |
### Useful log commands
```bash
# Last 100 lines, follow
journalctl -u hermes-gateway -n 100 -f
# Errors only
journalctl -u hermes-gateway -p err --since today
# Docker: structured logs with timestamps
docker compose -f deploy/docker-compose.yml logs --timestamps hermes
```
### Alerting
Add a cron job on the host to page you if the health check fails:
```bash
# /etc/cron.d/hermes-healthcheck
* * * * * root curl -sf http://127.0.0.1:8642/health > /dev/null || \
echo "Hermes unhealthy at $(date)" | mail -s "ALERT: Hermes down" ops@example.com
```
---
## 14. Security Checklist
- [ ] `.env` has permissions `600` and is **not** tracked by git (`git ls-files .env` returns nothing).
- [ ] `API_SERVER_KEY` is set if the API server is exposed beyond `127.0.0.1`.
- [ ] API server is bound to `127.0.0.1` (not `0.0.0.0`) unless behind a TLS-terminating reverse proxy.
- [ ] Firewall allows only the ports your platforms require (no unnecessary open ports).
- [ ] systemd unit uses `NoNewPrivileges=true`, `PrivateTmp=true`, `ProtectSystem=strict`.
- [ ] Docker container has resource limits set (`deploy.resources.limits`).
- [ ] Backups of `~/.hermes/` are stored outside the server (e.g. S3, remote NAS).
- [ ] `hermes doctor` returns no errors on the running instance.
- [ ] `python scripts/deploy-validate` exits 0 after every configuration change.
---
## 15. Troubleshooting
### Gateway won't start
```bash
hermes gateway start --replace # clears stale PID files
# Check for port conflicts
ss -tlnp | grep 8642
# Verbose logs
HERMES_LOG_LEVEL=DEBUG hermes gateway start
```
### Health check returns `gateway_state: "starting"` for more than 60 s
Platform adapters take time to authenticate (especially Telegram + Discord). Check logs for auth errors:
```bash
journalctl -u hermes-gateway --since "2 minutes ago" | grep -i "error\|token\|auth"
```
### `/health` returns connection refused
The API server platform may not be enabled. Verify your gateway config (`~/.hermes/config.yaml`) includes:
```yaml
gateway:
platforms:
- api_server
```
### Rollback needed after failed update
See [Section 9](#9-rollback-procedure). If you backed up before updating, rollback takes < 5 minutes.
### Sessions lost after restart
Sessions are file-based in `~/.hermes/sessions/`. They persist across restarts. If they are gone, check:
```bash
ls -la ~/.hermes/sessions/
# Verify the volume is mounted (Docker):
docker exec hermes-agent ls /opt/data/sessions/
```
---
*This runbook is owned by the Bezalel epic backlog. Update it whenever deployment procedures change.*

View File

@@ -1,25 +1,20 @@
FROM debian:13.4
# Install system dependencies in one layer, clear APT cache
RUN apt-get update && \
apt-get install -y --no-install-recommends \
build-essential nodejs npm python3 python3-pip ripgrep ffmpeg gcc python3-dev libffi-dev && \
rm -rf /var/lib/apt/lists/*
RUN apt-get update
RUN apt-get install -y nodejs npm python3 python3-pip ripgrep ffmpeg gcc python3-dev libffi-dev
COPY . /opt/hermes
WORKDIR /opt/hermes
# Install Python and Node dependencies in one layer, no cache
RUN pip install --no-cache-dir -e ".[all]" --break-system-packages && \
npm install --prefer-offline --no-audit && \
npx playwright install --with-deps chromium --only-shell && \
cd /opt/hermes/scripts/whatsapp-bridge && \
npm install --prefer-offline --no-audit && \
npm cache clean --force
RUN pip install -e ".[all]" --break-system-packages
RUN npm install
RUN npx playwright install --with-deps chromium
WORKDIR /opt/hermes/scripts/whatsapp-bridge
RUN npm install
WORKDIR /opt/hermes
RUN chmod +x /opt/hermes/docker/entrypoint.sh
ENV HERMES_HOME=/opt/data
VOLUME [ "/opt/data" ]
ENTRYPOINT [ "/opt/hermes/docker/entrypoint.sh" ]
ENTRYPOINT [ "/opt/hermes/docker/entrypoint.sh" ]

View File

@@ -1,4 +0,0 @@
graft skills
graft optional-skills
global-exclude __pycache__
global-exclude *.py[cod]

383
RELEASE_v0.2.0.md Normal file
View File

@@ -0,0 +1,383 @@
# Hermes Agent v0.2.0 (v2026.3.12)
**Release Date:** March 12, 2026
> First tagged release since v0.1.0 (the initial pre-public foundation). In just over two weeks, Hermes Agent went from a small internal project to a full-featured AI agent platform — thanks to an explosion of community contributions. This release covers **216 merged pull requests** from **63 contributors**, resolving **119 issues**.
---
## ✨ Highlights
- **Multi-Platform Messaging Gateway** — Telegram, Discord, Slack, WhatsApp, Signal, Email (IMAP/SMTP), and Home Assistant platforms with unified session management, media attachments, and per-platform tool configuration.
- **MCP (Model Context Protocol) Client** — Native MCP support with stdio and HTTP transports, reconnection, resource/prompt discovery, and sampling (server-initiated LLM requests). ([#291](https://github.com/NousResearch/hermes-agent/pull/291) — @0xbyt4, [#301](https://github.com/NousResearch/hermes-agent/pull/301), [#753](https://github.com/NousResearch/hermes-agent/pull/753))
- **Skills Ecosystem** — 70+ bundled and optional skills across 15+ categories with a Skills Hub for community discovery, per-platform enable/disable, conditional activation based on tool availability, and prerequisite validation. ([#743](https://github.com/NousResearch/hermes-agent/pull/743) — @teyrebaz33, [#785](https://github.com/NousResearch/hermes-agent/pull/785) — @teyrebaz33)
- **Centralized Provider Router** — Unified `call_llm()`/`async_call_llm()` API replaces scattered provider logic across vision, summarization, compression, and trajectory saving. All auxiliary consumers route through a single code path with automatic credential resolution. ([#1003](https://github.com/NousResearch/hermes-agent/pull/1003))
- **ACP Server** — VS Code, Zed, and JetBrains editor integration via the Agent Communication Protocol standard. ([#949](https://github.com/NousResearch/hermes-agent/pull/949))
- **CLI Skin/Theme Engine** — Data-driven visual customization: banners, spinners, colors, branding. 7 built-in skins + custom YAML skins.
- **Git Worktree Isolation** — `hermes -w` launches isolated agent sessions in git worktrees for safe parallel work on the same repo. ([#654](https://github.com/NousResearch/hermes-agent/pull/654))
- **Filesystem Checkpoints & Rollback** — Automatic snapshots before destructive operations with `/rollback` to restore. ([#824](https://github.com/NousResearch/hermes-agent/pull/824))
- **3,289 Tests** — From near-zero test coverage to a comprehensive test suite covering agent, gateway, tools, cron, and CLI.
---
## 🏗️ Core Agent & Architecture
### Provider & Model Support
- Centralized provider router with `resolve_provider_client()` + `call_llm()` API ([#1003](https://github.com/NousResearch/hermes-agent/pull/1003))
- Nous Portal as first-class provider in setup ([#644](https://github.com/NousResearch/hermes-agent/issues/644))
- OpenAI Codex (Responses API) with ChatGPT subscription support ([#43](https://github.com/NousResearch/hermes-agent/pull/43)) — @grp06
- Codex OAuth vision support + multimodal content adapter
- Validate `/model` against live API instead of hardcoded lists
- Self-hosted Firecrawl support ([#460](https://github.com/NousResearch/hermes-agent/pull/460)) — @caentzminger
- Kimi Code API support ([#635](https://github.com/NousResearch/hermes-agent/pull/635)) — @christomitov
- MiniMax model ID update ([#473](https://github.com/NousResearch/hermes-agent/pull/473)) — @tars90percent
- OpenRouter provider routing configuration (provider_preferences)
- Nous credential refresh on 401 errors ([#571](https://github.com/NousResearch/hermes-agent/pull/571), [#269](https://github.com/NousResearch/hermes-agent/pull/269)) — @rewbs
- z.ai/GLM, Kimi/Moonshot, MiniMax, Azure OpenAI as first-class providers
- Unified `/model` and `/provider` into single view
### Agent Loop & Conversation
- Simple fallback model for provider resilience ([#740](https://github.com/NousResearch/hermes-agent/pull/740))
- Shared iteration budget across parent + subagent delegation
- Iteration budget pressure via tool result injection
- Configurable subagent provider/model with full credential resolution
- Handle 413 payload-too-large via compression instead of aborting ([#153](https://github.com/NousResearch/hermes-agent/pull/153)) — @tekelala
- Retry with rebuilt payload after compression ([#616](https://github.com/NousResearch/hermes-agent/pull/616)) — @tripledoublev
- Auto-compress pathologically large gateway sessions ([#628](https://github.com/NousResearch/hermes-agent/issues/628))
- Tool call repair middleware — auto-lowercase and invalid tool handler
- Reasoning effort configuration and `/reasoning` command ([#921](https://github.com/NousResearch/hermes-agent/pull/921))
- Detect and block file re-read/search loops after context compression ([#705](https://github.com/NousResearch/hermes-agent/pull/705)) — @0xbyt4
### Session & Memory
- Session naming with unique titles, auto-lineage, rich listing, and resume by name ([#720](https://github.com/NousResearch/hermes-agent/pull/720))
- Interactive session browser with search filtering ([#733](https://github.com/NousResearch/hermes-agent/pull/733))
- Display previous messages when resuming a session ([#734](https://github.com/NousResearch/hermes-agent/pull/734))
- Honcho AI-native cross-session user modeling ([#38](https://github.com/NousResearch/hermes-agent/pull/38)) — @erosika
- Proactive async memory flush on session expiry
- Smart context length probing with persistent caching + banner display
- `/resume` command for switching to named sessions in gateway
- Session reset policy for messaging platforms
---
## 📱 Messaging Platforms (Gateway)
### Telegram
- Native file attachments: send_document + send_video
- Document file processing for PDF, text, and Office files — @tekelala
- Forum topic session isolation ([#766](https://github.com/NousResearch/hermes-agent/pull/766)) — @spanishflu-est1918
- Browser screenshot sharing via MEDIA: protocol ([#657](https://github.com/NousResearch/hermes-agent/pull/657))
- Location support for find-nearby skill
- TTS voice message accumulation fix ([#176](https://github.com/NousResearch/hermes-agent/pull/176)) — @Bartok9
- Improved error handling and logging ([#763](https://github.com/NousResearch/hermes-agent/pull/763)) — @aydnOktay
- Italic regex newline fix + 43 format tests ([#204](https://github.com/NousResearch/hermes-agent/pull/204)) — @0xbyt4
### Discord
- Channel topic included in session context ([#248](https://github.com/NousResearch/hermes-agent/pull/248)) — @Bartok9
- DISCORD_ALLOW_BOTS config for bot message filtering ([#758](https://github.com/NousResearch/hermes-agent/pull/758))
- Document and video support ([#784](https://github.com/NousResearch/hermes-agent/pull/784))
- Improved error handling and logging ([#761](https://github.com/NousResearch/hermes-agent/pull/761)) — @aydnOktay
### Slack
- App_mention 404 fix + document/video support ([#784](https://github.com/NousResearch/hermes-agent/pull/784))
- Structured logging replacing print statements — @aydnOktay
### WhatsApp
- Native media sending — images, videos, documents ([#292](https://github.com/NousResearch/hermes-agent/pull/292)) — @satelerd
- Multi-user session isolation ([#75](https://github.com/NousResearch/hermes-agent/pull/75)) — @satelerd
- Cross-platform port cleanup replacing Linux-only fuser ([#433](https://github.com/NousResearch/hermes-agent/pull/433)) — @Farukest
- DM interrupt key mismatch fix ([#350](https://github.com/NousResearch/hermes-agent/pull/350)) — @Farukest
### Signal
- Full Signal messenger gateway via signal-cli-rest-api ([#405](https://github.com/NousResearch/hermes-agent/issues/405))
- Media URL support in message events ([#871](https://github.com/NousResearch/hermes-agent/pull/871))
### Email (IMAP/SMTP)
- New email gateway platform — @0xbyt4
### Home Assistant
- REST tools + WebSocket gateway integration ([#184](https://github.com/NousResearch/hermes-agent/pull/184)) — @0xbyt4
- Service discovery and enhanced setup
- Toolset mapping fix ([#538](https://github.com/NousResearch/hermes-agent/pull/538)) — @Himess
### Gateway Core
- Expose subagent tool calls and thinking to users ([#186](https://github.com/NousResearch/hermes-agent/pull/186)) — @cutepawss
- Configurable background process watcher notifications ([#840](https://github.com/NousResearch/hermes-agent/pull/840))
- `edit_message()` for Telegram/Discord/Slack with fallback
- `/compress`, `/usage`, `/update` slash commands
- Eliminated 3x SQLite message duplication in gateway sessions ([#873](https://github.com/NousResearch/hermes-agent/pull/873))
- Stabilize system prompt across gateway turns for cache hits ([#754](https://github.com/NousResearch/hermes-agent/pull/754))
- MCP server shutdown on gateway exit ([#796](https://github.com/NousResearch/hermes-agent/pull/796)) — @0xbyt4
- Pass session_db to AIAgent, fixing session_search error ([#108](https://github.com/NousResearch/hermes-agent/pull/108)) — @Bartok9
- Persist transcript changes in /retry, /undo; fix /reset attribute ([#217](https://github.com/NousResearch/hermes-agent/pull/217)) — @Farukest
- UTF-8 encoding fix preventing Windows crashes ([#369](https://github.com/NousResearch/hermes-agent/pull/369)) — @ch3ronsa
---
## 🖥️ CLI & User Experience
### Interactive CLI
- Data-driven skin/theme engine — 7 built-in skins (default, ares, mono, slate, poseidon, sisyphus, charizard) + custom YAML skins
- `/personality` command with custom personality + disable support ([#773](https://github.com/NousResearch/hermes-agent/pull/773)) — @teyrebaz33
- User-defined quick commands that bypass the agent loop ([#746](https://github.com/NousResearch/hermes-agent/pull/746)) — @teyrebaz33
- `/reasoning` command for effort level and display toggle ([#921](https://github.com/NousResearch/hermes-agent/pull/921))
- `/verbose` slash command to toggle debug at runtime ([#94](https://github.com/NousResearch/hermes-agent/pull/94)) — @cesareth
- `/insights` command — usage analytics, cost estimation & activity patterns ([#552](https://github.com/NousResearch/hermes-agent/pull/552))
- `/background` command for managing background processes
- `/help` formatting with command categories
- Bell-on-complete — terminal bell when agent finishes ([#738](https://github.com/NousResearch/hermes-agent/pull/738))
- Up/down arrow history navigation
- Clipboard image paste (Alt+V / Ctrl+V)
- Loading indicators for slow slash commands ([#882](https://github.com/NousResearch/hermes-agent/pull/882))
- Spinner flickering fix under patch_stdout ([#91](https://github.com/NousResearch/hermes-agent/pull/91)) — @0xbyt4
- `--quiet/-Q` flag for programmatic single-query mode
- `--fuck-it-ship-it` flag to bypass all approval prompts ([#724](https://github.com/NousResearch/hermes-agent/pull/724)) — @dmahan93
- Tools summary flag ([#767](https://github.com/NousResearch/hermes-agent/pull/767)) — @luisv-1
- Terminal blinking fix on SSH ([#284](https://github.com/NousResearch/hermes-agent/pull/284)) — @ygd58
- Multi-line paste detection fix ([#84](https://github.com/NousResearch/hermes-agent/pull/84)) — @0xbyt4
### Setup & Configuration
- Modular setup wizard with section subcommands and tool-first UX
- Container resource configuration prompts
- Backend validation for required binaries
- Config migration system (currently v7)
- API keys properly routed to .env instead of config.yaml ([#469](https://github.com/NousResearch/hermes-agent/pull/469)) — @ygd58
- Atomic write for .env to prevent API key loss on crash ([#954](https://github.com/NousResearch/hermes-agent/pull/954))
- `hermes tools` — per-platform tool enable/disable with curses UI
- `hermes doctor` for health checks across all configured providers
- `hermes update` with auto-restart for gateway service
- Show update-available notice in CLI banner
- Multiple named custom providers
- Shell config detection improvement for PATH setup ([#317](https://github.com/NousResearch/hermes-agent/pull/317)) — @mehmetkr-31
- Consistent HERMES_HOME and .env path resolution ([#51](https://github.com/NousResearch/hermes-agent/pull/51), [#48](https://github.com/NousResearch/hermes-agent/pull/48)) — @deankerr
- Docker backend fix on macOS + subagent auth for Nous Portal ([#46](https://github.com/NousResearch/hermes-agent/pull/46)) — @rsavitt
---
## 🔧 Tool System
### MCP (Model Context Protocol)
- Native MCP client with stdio + HTTP transports ([#291](https://github.com/NousResearch/hermes-agent/pull/291) — @0xbyt4, [#301](https://github.com/NousResearch/hermes-agent/pull/301))
- Sampling support — server-initiated LLM requests ([#753](https://github.com/NousResearch/hermes-agent/pull/753))
- Resource and prompt discovery
- Automatic reconnection and security hardening
- Banner integration, `/reload-mcp` command
- `hermes tools` UI integration
### Browser
- Local browser backend — zero-cost headless Chromium (no Browserbase needed)
- Console/errors tool, annotated screenshots, auto-recording, dogfood QA skill ([#745](https://github.com/NousResearch/hermes-agent/pull/745))
- Screenshot sharing via MEDIA: on all messaging platforms ([#657](https://github.com/NousResearch/hermes-agent/pull/657))
### Terminal & Execution
- `execute_code` sandbox with json_parse, shell_quote, retry helpers
- Docker: custom volume mounts ([#158](https://github.com/NousResearch/hermes-agent/pull/158)) — @Indelwin
- Daytona cloud sandbox backend ([#451](https://github.com/NousResearch/hermes-agent/pull/451)) — @rovle
- SSH backend fix ([#59](https://github.com/NousResearch/hermes-agent/pull/59)) — @deankerr
- Shell noise filtering and login shell execution for environment consistency
- Head+tail truncation for execute_code stdout overflow
- Configurable background process notification modes
### File Operations
- Filesystem checkpoints and `/rollback` command ([#824](https://github.com/NousResearch/hermes-agent/pull/824))
- Structured tool result hints (next-action guidance) for patch and search_files ([#722](https://github.com/NousResearch/hermes-agent/issues/722))
- Docker volumes passed to sandbox container config ([#687](https://github.com/NousResearch/hermes-agent/pull/687)) — @manuelschipper
---
## 🧩 Skills Ecosystem
### Skills System
- Per-platform skill enable/disable ([#743](https://github.com/NousResearch/hermes-agent/pull/743)) — @teyrebaz33
- Conditional skill activation based on tool availability ([#785](https://github.com/NousResearch/hermes-agent/pull/785)) — @teyrebaz33
- Skill prerequisites — hide skills with unmet dependencies ([#659](https://github.com/NousResearch/hermes-agent/pull/659)) — @kshitijk4poor
- Optional skills — shipped but not activated by default
- `hermes skills browse` — paginated hub browsing
- Skills sub-category organization
- Platform-conditional skill loading
- Atomic skill file writes ([#551](https://github.com/NousResearch/hermes-agent/pull/551)) — @aydnOktay
- Skills sync data loss prevention ([#563](https://github.com/NousResearch/hermes-agent/pull/563)) — @0xbyt4
- Dynamic skill slash commands for CLI and gateway
### New Skills (selected)
- **ASCII Art** — pyfiglet (571 fonts), cowsay, image-to-ascii ([#209](https://github.com/NousResearch/hermes-agent/pull/209)) — @0xbyt4
- **ASCII Video** — Full production pipeline ([#854](https://github.com/NousResearch/hermes-agent/pull/854)) — @SHL0MS
- **DuckDuckGo Search** — Firecrawl fallback ([#267](https://github.com/NousResearch/hermes-agent/pull/267)) — @gamedevCloudy; DDGS API expansion ([#598](https://github.com/NousResearch/hermes-agent/pull/598)) — @areu01or00
- **Solana Blockchain** — Wallet balances, USD pricing, token names ([#212](https://github.com/NousResearch/hermes-agent/pull/212)) — @gizdusum
- **AgentMail** — Agent-owned email inboxes ([#330](https://github.com/NousResearch/hermes-agent/pull/330)) — @teyrebaz33
- **Polymarket** — Prediction market data (read-only) ([#629](https://github.com/NousResearch/hermes-agent/pull/629))
- **OpenClaw Migration** — Official migration tool ([#570](https://github.com/NousResearch/hermes-agent/pull/570)) — @unmodeled-tyler
- **Domain Intelligence** — Passive recon: subdomains, SSL, WHOIS, DNS ([#136](https://github.com/NousResearch/hermes-agent/pull/136)) — @FurkanL0
- **Superpowers** — Software development skills ([#137](https://github.com/NousResearch/hermes-agent/pull/137)) — @kaos35
- **Hermes-Atropos** — RL environment development skill ([#815](https://github.com/NousResearch/hermes-agent/pull/815))
- Plus: arXiv search, OCR/documents, Excalidraw diagrams, YouTube transcripts, GIF search, Pokémon player, Minecraft modpack server, OpenHue (Philips Hue), Google Workspace, Notion, PowerPoint, Obsidian, find-nearby, and 40+ MLOps skills
---
## 🔒 Security & Reliability
### Security Hardening
- Path traversal fix in skill_view — prevented reading arbitrary files ([#220](https://github.com/NousResearch/hermes-agent/issues/220)) — @Farukest
- Shell injection prevention in sudo password piping ([#65](https://github.com/NousResearch/hermes-agent/pull/65)) — @leonsgithub
- Dangerous command detection: multiline bypass fix ([#233](https://github.com/NousResearch/hermes-agent/pull/233)) — @Farukest; tee/process substitution patterns ([#280](https://github.com/NousResearch/hermes-agent/pull/280)) — @dogiladeveloper
- Symlink boundary check fix in skills_guard ([#386](https://github.com/NousResearch/hermes-agent/pull/386)) — @Farukest
- Symlink bypass fix in write deny list on macOS ([#61](https://github.com/NousResearch/hermes-agent/pull/61)) — @0xbyt4
- Multi-word prompt injection bypass prevention ([#192](https://github.com/NousResearch/hermes-agent/pull/192)) — @0xbyt4
- Cron prompt injection scanner bypass fix ([#63](https://github.com/NousResearch/hermes-agent/pull/63)) — @0xbyt4
- Enforce 0600/0700 file permissions on sensitive files ([#757](https://github.com/NousResearch/hermes-agent/pull/757))
- .env file permissions restricted to owner-only ([#529](https://github.com/NousResearch/hermes-agent/pull/529)) — @Himess
- `--force` flag properly blocked from overriding dangerous verdicts ([#388](https://github.com/NousResearch/hermes-agent/pull/388)) — @Farukest
- FTS5 query sanitization + DB connection leak fix ([#565](https://github.com/NousResearch/hermes-agent/pull/565)) — @0xbyt4
- Expand secret redaction patterns + config toggle to disable
- In-memory permanent allowlist to prevent data leak ([#600](https://github.com/NousResearch/hermes-agent/pull/600)) — @alireza78a
### Atomic Writes (data loss prevention)
- sessions.json ([#611](https://github.com/NousResearch/hermes-agent/pull/611)) — @alireza78a
- Cron jobs ([#146](https://github.com/NousResearch/hermes-agent/pull/146)) — @alireza78a
- .env config ([#954](https://github.com/NousResearch/hermes-agent/pull/954))
- Process checkpoints ([#298](https://github.com/NousResearch/hermes-agent/pull/298)) — @aydnOktay
- Batch runner ([#297](https://github.com/NousResearch/hermes-agent/pull/297)) — @aydnOktay
- Skill files ([#551](https://github.com/NousResearch/hermes-agent/pull/551)) — @aydnOktay
### Reliability
- Guard all print() against OSError for systemd/headless environments ([#963](https://github.com/NousResearch/hermes-agent/pull/963))
- Reset all retry counters at start of run_conversation ([#607](https://github.com/NousResearch/hermes-agent/pull/607)) — @0xbyt4
- Return deny on approval callback timeout instead of None ([#603](https://github.com/NousResearch/hermes-agent/pull/603)) — @0xbyt4
- Fix None message content crashes across codebase ([#277](https://github.com/NousResearch/hermes-agent/pull/277))
- Fix context overrun crash with local LLM backends ([#403](https://github.com/NousResearch/hermes-agent/pull/403)) — @ch3ronsa
- Prevent `_flush_sentinel` from leaking to external APIs ([#227](https://github.com/NousResearch/hermes-agent/pull/227)) — @Farukest
- Prevent conversation_history mutation in callers ([#229](https://github.com/NousResearch/hermes-agent/pull/229)) — @Farukest
- Fix systemd restart loop ([#614](https://github.com/NousResearch/hermes-agent/pull/614)) — @voidborne-d
- Close file handles and sockets to prevent fd leaks ([#568](https://github.com/NousResearch/hermes-agent/pull/568) — @alireza78a, [#296](https://github.com/NousResearch/hermes-agent/pull/296) — @alireza78a, [#709](https://github.com/NousResearch/hermes-agent/pull/709) — @memosr)
- Prevent data loss in clipboard PNG conversion ([#602](https://github.com/NousResearch/hermes-agent/pull/602)) — @0xbyt4
- Eliminate shell noise from terminal output ([#293](https://github.com/NousResearch/hermes-agent/pull/293)) — @0xbyt4
- Timezone-aware now() for prompt, cron, and execute_code ([#309](https://github.com/NousResearch/hermes-agent/pull/309)) — @areu01or00
### Windows Compatibility
- Guard POSIX-only process functions ([#219](https://github.com/NousResearch/hermes-agent/pull/219)) — @Farukest
- Windows native support via Git Bash + ZIP-based update fallback
- pywinpty for PTY support ([#457](https://github.com/NousResearch/hermes-agent/pull/457)) — @shitcoinsherpa
- Explicit UTF-8 encoding on all config/data file I/O ([#458](https://github.com/NousResearch/hermes-agent/pull/458)) — @shitcoinsherpa
- Windows-compatible path handling ([#354](https://github.com/NousResearch/hermes-agent/pull/354), [#390](https://github.com/NousResearch/hermes-agent/pull/390)) — @Farukest
- Regex-based search output parsing for drive-letter paths ([#533](https://github.com/NousResearch/hermes-agent/pull/533)) — @Himess
- Auth store file lock for Windows ([#455](https://github.com/NousResearch/hermes-agent/pull/455)) — @shitcoinsherpa
---
## 🐛 Notable Bug Fixes
- Fix DeepSeek V3 tool call parser silently dropping multi-line JSON arguments ([#444](https://github.com/NousResearch/hermes-agent/pull/444)) — @PercyDikec
- Fix gateway transcript losing 1 message per turn due to offset mismatch ([#395](https://github.com/NousResearch/hermes-agent/pull/395)) — @PercyDikec
- Fix /retry command silently discarding the agent's final response ([#441](https://github.com/NousResearch/hermes-agent/pull/441)) — @PercyDikec
- Fix max-iterations retry returning empty string after think-block stripping ([#438](https://github.com/NousResearch/hermes-agent/pull/438)) — @PercyDikec
- Fix max-iterations retry using hardcoded max_tokens ([#436](https://github.com/NousResearch/hermes-agent/pull/436)) — @Farukest
- Fix Codex status dict key mismatch ([#448](https://github.com/NousResearch/hermes-agent/pull/448)) and visibility filter ([#446](https://github.com/NousResearch/hermes-agent/pull/446)) — @PercyDikec
- Strip \<think\> blocks from final user-facing responses ([#174](https://github.com/NousResearch/hermes-agent/pull/174)) — @Bartok9
- Fix \<think\> block regex stripping visible content when model discusses tags literally ([#786](https://github.com/NousResearch/hermes-agent/issues/786))
- Fix Mistral 422 errors from leftover finish_reason in assistant messages ([#253](https://github.com/NousResearch/hermes-agent/pull/253)) — @Sertug17
- Fix OPENROUTER_API_KEY resolution order across all code paths ([#295](https://github.com/NousResearch/hermes-agent/pull/295)) — @0xbyt4
- Fix OPENAI_BASE_URL API key priority ([#420](https://github.com/NousResearch/hermes-agent/pull/420)) — @manuelschipper
- Fix Anthropic "prompt is too long" 400 error not detected as context length error ([#813](https://github.com/NousResearch/hermes-agent/issues/813))
- Fix SQLite session transcript accumulating duplicate messages — 3-4x token inflation ([#860](https://github.com/NousResearch/hermes-agent/issues/860))
- Fix setup wizard skipping API key prompts on first install ([#748](https://github.com/NousResearch/hermes-agent/pull/748))
- Fix setup wizard showing OpenRouter model list for Nous Portal ([#575](https://github.com/NousResearch/hermes-agent/pull/575)) — @PercyDikec
- Fix provider selection not persisting when switching via hermes model ([#881](https://github.com/NousResearch/hermes-agent/pull/881))
- Fix Docker backend failing when docker not in PATH on macOS ([#889](https://github.com/NousResearch/hermes-agent/pull/889))
- Fix ClawHub Skills Hub adapter for API endpoint changes ([#286](https://github.com/NousResearch/hermes-agent/pull/286)) — @BP602
- Fix Honcho auto-enable when API key is present ([#243](https://github.com/NousResearch/hermes-agent/pull/243)) — @Bartok9
- Fix duplicate 'skills' subparser crash on Python 3.11+ ([#898](https://github.com/NousResearch/hermes-agent/issues/898))
- Fix memory tool entry parsing when content contains section sign ([#162](https://github.com/NousResearch/hermes-agent/pull/162)) — @aydnOktay
- Fix piped install silently aborting when interactive prompts fail ([#72](https://github.com/NousResearch/hermes-agent/pull/72)) — @cutepawss
- Fix false positives in recursive delete detection ([#68](https://github.com/NousResearch/hermes-agent/pull/68)) — @cutepawss
- Fix Ruff lint warnings across codebase ([#608](https://github.com/NousResearch/hermes-agent/pull/608)) — @JackTheGit
- Fix Anthropic native base URL fail-fast ([#173](https://github.com/NousResearch/hermes-agent/pull/173)) — @adavyas
- Fix install.sh creating ~/.hermes before moving Node.js directory ([#53](https://github.com/NousResearch/hermes-agent/pull/53)) — @JoshuaMart
- Fix SystemExit traceback during atexit cleanup on Ctrl+C ([#55](https://github.com/NousResearch/hermes-agent/pull/55)) — @bierlingm
- Restore missing MIT license file ([#620](https://github.com/NousResearch/hermes-agent/pull/620)) — @stablegenius49
---
## 🧪 Testing
- **3,289 tests** across agent, gateway, tools, cron, and CLI
- Parallelized test suite with pytest-xdist ([#802](https://github.com/NousResearch/hermes-agent/pull/802)) — @OutThisLife
- Unit tests batch 1: 8 core modules ([#60](https://github.com/NousResearch/hermes-agent/pull/60)) — @0xbyt4
- Unit tests batch 2: 8 more modules ([#62](https://github.com/NousResearch/hermes-agent/pull/62)) — @0xbyt4
- Unit tests batch 3: 8 untested modules ([#191](https://github.com/NousResearch/hermes-agent/pull/191)) — @0xbyt4
- Unit tests batch 4: 5 security/logic-critical modules ([#193](https://github.com/NousResearch/hermes-agent/pull/193)) — @0xbyt4
- AIAgent (run_agent.py) unit tests ([#67](https://github.com/NousResearch/hermes-agent/pull/67)) — @0xbyt4
- Trajectory compressor tests ([#203](https://github.com/NousResearch/hermes-agent/pull/203)) — @0xbyt4
- Clarify tool tests ([#121](https://github.com/NousResearch/hermes-agent/pull/121)) — @Bartok9
- Telegram format tests — 43 tests for italic/bold/code rendering ([#204](https://github.com/NousResearch/hermes-agent/pull/204)) — @0xbyt4
- Vision tools type hints + 42 tests ([#792](https://github.com/NousResearch/hermes-agent/pull/792))
- Compressor tool-call boundary regression tests ([#648](https://github.com/NousResearch/hermes-agent/pull/648)) — @intertwine
- Test structure reorganization ([#34](https://github.com/NousResearch/hermes-agent/pull/34)) — @0xbyt4
- Shell noise elimination + fix 36 test failures ([#293](https://github.com/NousResearch/hermes-agent/pull/293)) — @0xbyt4
---
## 🔬 RL & Evaluation Environments
- WebResearchEnv — Multi-step web research RL environment ([#434](https://github.com/NousResearch/hermes-agent/pull/434)) — @jackx707
- Modal sandbox concurrency limits to avoid deadlocks ([#621](https://github.com/NousResearch/hermes-agent/pull/621)) — @voteblake
- Hermes-atropos-environments bundled skill ([#815](https://github.com/NousResearch/hermes-agent/pull/815))
- Local vLLM instance support for evaluation — @dmahan93
- YC-Bench long-horizon agent benchmark environment
- OpenThoughts-TBLite evaluation environment and scripts
---
## 📚 Documentation
- Full documentation website (Docusaurus) with 37+ pages
- Comprehensive platform setup guides for Telegram, Discord, Slack, WhatsApp, Signal, Email
- AGENTS.md — development guide for AI coding assistants
- CONTRIBUTING.md ([#117](https://github.com/NousResearch/hermes-agent/pull/117)) — @Bartok9
- Slash commands reference ([#142](https://github.com/NousResearch/hermes-agent/pull/142)) — @Bartok9
- Comprehensive AGENTS.md accuracy audit ([#732](https://github.com/NousResearch/hermes-agent/pull/732))
- Skin/theme system documentation
- MCP documentation and examples
- Docs accuracy audit — 35+ corrections
- Documentation typo fixes ([#825](https://github.com/NousResearch/hermes-agent/pull/825), [#439](https://github.com/NousResearch/hermes-agent/pull/439)) — @JackTheGit
- CLI config precedence and terminology standardization ([#166](https://github.com/NousResearch/hermes-agent/pull/166), [#167](https://github.com/NousResearch/hermes-agent/pull/167), [#168](https://github.com/NousResearch/hermes-agent/pull/168)) — @Jr-kenny
- Telegram token regex documentation ([#713](https://github.com/NousResearch/hermes-agent/pull/713)) — @VolodymyrBg
---
## 👥 Contributors
Thank you to the 63 contributors who made this release possible! In just over two weeks, the Hermes Agent community came together to ship an extraordinary amount of work.
### Core
- **@teknium1** — 43 PRs: Project lead, core architecture, provider router, sessions, skills, CLI, documentation
### Top Community Contributors
- **@0xbyt4** — 40 PRs: MCP client, Home Assistant, security fixes (symlink, prompt injection, cron), extensive test coverage (6 batches), ascii-art skill, shell noise elimination, skills sync, Telegram formatting, and dozens more
- **@Farukest** — 16 PRs: Security hardening (path traversal, dangerous command detection, symlink boundary), Windows compatibility (POSIX guards, path handling), WhatsApp fixes, max-iterations retry, gateway fixes
- **@aydnOktay** — 11 PRs: Atomic writes (process checkpoints, batch runner, skill files), error handling improvements across Telegram, Discord, code execution, transcription, TTS, and skills
- **@Bartok9** — 9 PRs: CONTRIBUTING.md, slash commands reference, Discord channel topics, think-block stripping, TTS fix, Honcho fix, session count fix, clarify tests
- **@PercyDikec** — 7 PRs: DeepSeek V3 parser fix, /retry response discard, gateway transcript offset, Codex status/visibility, max-iterations retry, setup wizard fix
- **@teyrebaz33** — 5 PRs: Skills enable/disable system, quick commands, personality customization, conditional skill activation
- **@alireza78a** — 5 PRs: Atomic writes (cron, sessions), fd leak prevention, security allowlist, code execution socket cleanup
- **@shitcoinsherpa** — 3 PRs: Windows support (pywinpty, UTF-8 encoding, auth store lock)
- **@Himess** — 3 PRs: Cron/HomeAssistant/Daytona fix, Windows drive-letter parsing, .env permissions
- **@satelerd** — 2 PRs: WhatsApp native media, multi-user session isolation
- **@rovle** — 1 PR: Daytona cloud sandbox backend (4 commits)
- **@erosika** — 1 PR: Honcho AI-native memory integration
- **@dmahan93** — 1 PR: --fuck-it-ship-it flag + RL environment work
- **@SHL0MS** — 1 PR: ASCII video skill
### All Contributors
@0xbyt4, @BP602, @Bartok9, @Farukest, @FurkanL0, @Himess, @Indelwin, @JackTheGit, @JoshuaMart, @Jr-kenny, @OutThisLife, @PercyDikec, @SHL0MS, @Sertug17, @VencentSoliman, @VolodymyrBg, @adavyas, @alireza78a, @areu01or00, @aydnOktay, @batuhankocyigit, @bierlingm, @caentzminger, @cesareth, @ch3ronsa, @christomitov, @cutepawss, @deankerr, @dmahan93, @dogiladeveloper, @dragonkhoi, @erosika, @gamedevCloudy, @gizdusum, @grp06, @intertwine, @jackx707, @jdblackstar, @johnh4098, @kaos35, @kshitijk4poor, @leonsgithub, @luisv-1, @manuelschipper, @mehmetkr-31, @memosr, @PeterFile, @rewbs, @rovle, @rsavitt, @satelerd, @spanishflu-est1918, @stablegenius49, @tars90percent, @tekelala, @teknium1, @teyrebaz33, @tripledoublev, @unmodeled-tyler, @voidborne-d, @voteblake, @ygd58
---
**Full Changelog**: [v0.1.0...v2026.3.12](https://github.com/NousResearch/hermes-agent/compare/v0.1.0...v2026.3.12)

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# Hermes Agent v0.3.0 (v2026.3.17)
**Release Date:** March 17, 2026
> The streaming, plugins, and provider release — unified real-time token delivery, first-class plugin architecture, rebuilt provider system with Vercel AI Gateway, native Anthropic provider, smart approvals, live Chrome CDP browser connect, ACP IDE integration, Honcho memory, voice mode, persistent shell, and 50+ bug fixes across every platform.
---
## ✨ Highlights
- **Unified Streaming Infrastructure** — Real-time token-by-token delivery in CLI and all gateway platforms. Responses stream as they're generated instead of arriving as a block. ([#1538](https://github.com/NousResearch/hermes-agent/pull/1538))
- **First-Class Plugin Architecture** — Drop Python files into `~/.hermes/plugins/` to extend Hermes with custom tools, commands, and hooks. No forking required. ([#1544](https://github.com/NousResearch/hermes-agent/pull/1544), [#1555](https://github.com/NousResearch/hermes-agent/pull/1555))
- **Native Anthropic Provider** — Direct Anthropic API calls with Claude Code credential auto-discovery, OAuth PKCE flows, and native prompt caching. No OpenRouter middleman needed. ([#1097](https://github.com/NousResearch/hermes-agent/pull/1097))
- **Smart Approvals + /stop Command** — Codex-inspired approval system that learns which commands are safe and remembers your preferences. `/stop` kills the current agent run immediately. ([#1543](https://github.com/NousResearch/hermes-agent/pull/1543))
- **Honcho Memory Integration** — Async memory writes, configurable recall modes, session title integration, and multi-user isolation in gateway mode. By @erosika. ([#736](https://github.com/NousResearch/hermes-agent/pull/736))
- **Voice Mode** — Push-to-talk in CLI, voice notes in Telegram/Discord, Discord voice channel support, and local Whisper transcription via faster-whisper. ([#1299](https://github.com/NousResearch/hermes-agent/pull/1299), [#1185](https://github.com/NousResearch/hermes-agent/pull/1185), [#1429](https://github.com/NousResearch/hermes-agent/pull/1429))
- **Concurrent Tool Execution** — Multiple independent tool calls now run in parallel via ThreadPoolExecutor, significantly reducing latency for multi-tool turns. ([#1152](https://github.com/NousResearch/hermes-agent/pull/1152))
- **PII Redaction** — When `privacy.redact_pii` is enabled, personally identifiable information is automatically scrubbed before sending context to LLM providers. ([#1542](https://github.com/NousResearch/hermes-agent/pull/1542))
- **`/browser connect` via CDP** — Attach browser tools to a live Chrome instance through Chrome DevTools Protocol. Debug, inspect, and interact with pages you already have open. ([#1549](https://github.com/NousResearch/hermes-agent/pull/1549))
- **Vercel AI Gateway Provider** — Route Hermes through Vercel's AI Gateway for access to their model catalog and infrastructure. ([#1628](https://github.com/NousResearch/hermes-agent/pull/1628))
- **Centralized Provider Router** — Rebuilt provider system with `call_llm` API, unified `/model` command, auto-detect provider on model switch, and direct endpoint overrides for auxiliary/delegation clients. ([#1003](https://github.com/NousResearch/hermes-agent/pull/1003), [#1506](https://github.com/NousResearch/hermes-agent/pull/1506), [#1375](https://github.com/NousResearch/hermes-agent/pull/1375))
- **ACP Server (IDE Integration)** — VS Code, Zed, and JetBrains can now connect to Hermes as an agent backend, with full slash command support. ([#1254](https://github.com/NousResearch/hermes-agent/pull/1254), [#1532](https://github.com/NousResearch/hermes-agent/pull/1532))
- **Persistent Shell Mode** — Local and SSH terminal backends can maintain shell state across tool calls — cd, env vars, and aliases persist. By @alt-glitch. ([#1067](https://github.com/NousResearch/hermes-agent/pull/1067), [#1483](https://github.com/NousResearch/hermes-agent/pull/1483))
- **Agentic On-Policy Distillation (OPD)** — New RL training environment for distilling agent policies, expanding the Atropos training ecosystem. ([#1149](https://github.com/NousResearch/hermes-agent/pull/1149))
---
## 🏗️ Core Agent & Architecture
### Provider & Model Support
- **Centralized provider router** with `call_llm` API and unified `/model` command — switch models and providers seamlessly ([#1003](https://github.com/NousResearch/hermes-agent/pull/1003))
- **Vercel AI Gateway** provider support ([#1628](https://github.com/NousResearch/hermes-agent/pull/1628))
- **Auto-detect provider** when switching models via `/model` ([#1506](https://github.com/NousResearch/hermes-agent/pull/1506))
- **Direct endpoint overrides** for auxiliary and delegation clients — point vision/subagent calls at specific endpoints ([#1375](https://github.com/NousResearch/hermes-agent/pull/1375))
- **Native Anthropic auxiliary vision** — use Claude's native vision API instead of routing through OpenAI-compatible endpoints ([#1377](https://github.com/NousResearch/hermes-agent/pull/1377))
- Anthropic OAuth flow improvements — auto-run `claude setup-token`, reauthentication, PKCE state persistence, identity fingerprinting ([#1132](https://github.com/NousResearch/hermes-agent/pull/1132), [#1360](https://github.com/NousResearch/hermes-agent/pull/1360), [#1396](https://github.com/NousResearch/hermes-agent/pull/1396), [#1597](https://github.com/NousResearch/hermes-agent/pull/1597))
- Fix adaptive thinking without `budget_tokens` for Claude 4.6 models — by @ASRagab ([#1128](https://github.com/NousResearch/hermes-agent/pull/1128))
- Fix Anthropic cache markers through adapter — by @brandtcormorant ([#1216](https://github.com/NousResearch/hermes-agent/pull/1216))
- Retry Anthropic 429/529 errors and surface details to users — by @0xbyt4 ([#1585](https://github.com/NousResearch/hermes-agent/pull/1585))
- Fix Anthropic adapter max_tokens, fallback crash, proxy base_url — by @0xbyt4 ([#1121](https://github.com/NousResearch/hermes-agent/pull/1121))
- Fix DeepSeek V3 parser dropping multiple parallel tool calls — by @mr-emmett-one ([#1365](https://github.com/NousResearch/hermes-agent/pull/1365), [#1300](https://github.com/NousResearch/hermes-agent/pull/1300))
- Accept unlisted models with warning instead of rejecting ([#1047](https://github.com/NousResearch/hermes-agent/pull/1047), [#1102](https://github.com/NousResearch/hermes-agent/pull/1102))
- Skip reasoning params for unsupported OpenRouter models ([#1485](https://github.com/NousResearch/hermes-agent/pull/1485))
- MiniMax Anthropic API compatibility fix ([#1623](https://github.com/NousResearch/hermes-agent/pull/1623))
- Custom endpoint `/models` verification and `/v1` base URL suggestion ([#1480](https://github.com/NousResearch/hermes-agent/pull/1480))
- Resolve delegation providers from `custom_providers` config ([#1328](https://github.com/NousResearch/hermes-agent/pull/1328))
- Kimi model additions and User-Agent fix ([#1039](https://github.com/NousResearch/hermes-agent/pull/1039))
- Strip `call_id`/`response_item_id` for Mistral compatibility ([#1058](https://github.com/NousResearch/hermes-agent/pull/1058))
### Agent Loop & Conversation
- **Anthropic Context Editing API** support ([#1147](https://github.com/NousResearch/hermes-agent/pull/1147))
- Improved context compaction handoff summaries — compressor now preserves more actionable state ([#1273](https://github.com/NousResearch/hermes-agent/pull/1273))
- Sync session_id after mid-run context compression ([#1160](https://github.com/NousResearch/hermes-agent/pull/1160))
- Session hygiene threshold tuned to 50% for more proactive compression ([#1096](https://github.com/NousResearch/hermes-agent/pull/1096), [#1161](https://github.com/NousResearch/hermes-agent/pull/1161))
- Include session ID in system prompt via `--pass-session-id` flag ([#1040](https://github.com/NousResearch/hermes-agent/pull/1040))
- Prevent closed OpenAI client reuse across retries ([#1391](https://github.com/NousResearch/hermes-agent/pull/1391))
- Sanitize chat payloads and provider precedence ([#1253](https://github.com/NousResearch/hermes-agent/pull/1253))
- Handle dict tool call arguments from Codex and local backends ([#1393](https://github.com/NousResearch/hermes-agent/pull/1393), [#1440](https://github.com/NousResearch/hermes-agent/pull/1440))
### Memory & Sessions
- **Improve memory prioritization** — user preferences and corrections weighted above procedural knowledge ([#1548](https://github.com/NousResearch/hermes-agent/pull/1548))
- Tighter memory and session recall guidance in system prompts ([#1329](https://github.com/NousResearch/hermes-agent/pull/1329))
- Persist CLI token counts to session DB for `/insights` ([#1498](https://github.com/NousResearch/hermes-agent/pull/1498))
- Keep Honcho recall out of the cached system prefix ([#1201](https://github.com/NousResearch/hermes-agent/pull/1201))
- Correct `seed_ai_identity` to use `session.add_messages()` ([#1475](https://github.com/NousResearch/hermes-agent/pull/1475))
- Isolate Honcho session routing for multi-user gateway ([#1500](https://github.com/NousResearch/hermes-agent/pull/1500))
---
## 📱 Messaging Platforms (Gateway)
### Gateway Core
- **System gateway service mode** — run as a system-level systemd service, not just user-level ([#1371](https://github.com/NousResearch/hermes-agent/pull/1371))
- **Gateway install scope prompts** — choose user vs system scope during setup ([#1374](https://github.com/NousResearch/hermes-agent/pull/1374))
- **Reasoning hot reload** — change reasoning settings without restarting the gateway ([#1275](https://github.com/NousResearch/hermes-agent/pull/1275))
- Default group sessions to per-user isolation — no more shared state across users in group chats ([#1495](https://github.com/NousResearch/hermes-agent/pull/1495), [#1417](https://github.com/NousResearch/hermes-agent/pull/1417))
- Harden gateway restart recovery ([#1310](https://github.com/NousResearch/hermes-agent/pull/1310))
- Cancel active runs during shutdown ([#1427](https://github.com/NousResearch/hermes-agent/pull/1427))
- SSL certificate auto-detection for NixOS and non-standard systems ([#1494](https://github.com/NousResearch/hermes-agent/pull/1494))
- Auto-detect D-Bus session bus for `systemctl --user` on headless servers ([#1601](https://github.com/NousResearch/hermes-agent/pull/1601))
- Auto-enable systemd linger during gateway install on headless servers ([#1334](https://github.com/NousResearch/hermes-agent/pull/1334))
- Fall back to module entrypoint when `hermes` is not on PATH ([#1355](https://github.com/NousResearch/hermes-agent/pull/1355))
- Fix dual gateways on macOS launchd after `hermes update` ([#1567](https://github.com/NousResearch/hermes-agent/pull/1567))
- Remove recursive ExecStop from systemd units ([#1530](https://github.com/NousResearch/hermes-agent/pull/1530))
- Prevent logging handler accumulation in gateway mode ([#1251](https://github.com/NousResearch/hermes-agent/pull/1251))
- Restart on retryable startup failures — by @jplew ([#1517](https://github.com/NousResearch/hermes-agent/pull/1517))
- Backfill model on gateway sessions after agent runs ([#1306](https://github.com/NousResearch/hermes-agent/pull/1306))
- PID-based gateway kill and deferred config write ([#1499](https://github.com/NousResearch/hermes-agent/pull/1499))
### Telegram
- Buffer media groups to prevent self-interruption from photo bursts ([#1341](https://github.com/NousResearch/hermes-agent/pull/1341), [#1422](https://github.com/NousResearch/hermes-agent/pull/1422))
- Retry on transient TLS failures during connect and send ([#1535](https://github.com/NousResearch/hermes-agent/pull/1535))
- Harden polling conflict handling ([#1339](https://github.com/NousResearch/hermes-agent/pull/1339))
- Escape chunk indicators and inline code in MarkdownV2 ([#1478](https://github.com/NousResearch/hermes-agent/pull/1478), [#1626](https://github.com/NousResearch/hermes-agent/pull/1626))
- Check updater/app state before disconnect ([#1389](https://github.com/NousResearch/hermes-agent/pull/1389))
### Discord
- `/thread` command with `auto_thread` config and media metadata fixes ([#1178](https://github.com/NousResearch/hermes-agent/pull/1178))
- Auto-thread on @mention, skip mention text in bot threads ([#1438](https://github.com/NousResearch/hermes-agent/pull/1438))
- Retry without reply reference for system messages ([#1385](https://github.com/NousResearch/hermes-agent/pull/1385))
- Preserve native document and video attachment support ([#1392](https://github.com/NousResearch/hermes-agent/pull/1392))
- Defer discord adapter annotations to avoid optional import crashes ([#1314](https://github.com/NousResearch/hermes-agent/pull/1314))
### Slack
- Thread handling overhaul — progress messages, responses, and session isolation all respect threads ([#1103](https://github.com/NousResearch/hermes-agent/pull/1103))
- Formatting, reactions, user resolution, and command improvements ([#1106](https://github.com/NousResearch/hermes-agent/pull/1106))
- Fix MAX_MESSAGE_LENGTH 3900 → 39000 ([#1117](https://github.com/NousResearch/hermes-agent/pull/1117))
- File upload fallback preserves thread context — by @0xbyt4 ([#1122](https://github.com/NousResearch/hermes-agent/pull/1122))
- Improve setup guidance ([#1387](https://github.com/NousResearch/hermes-agent/pull/1387))
### Email
- Fix IMAP UID tracking and SMTP TLS verification ([#1305](https://github.com/NousResearch/hermes-agent/pull/1305))
- Add `skip_attachments` option via config.yaml ([#1536](https://github.com/NousResearch/hermes-agent/pull/1536))
### Home Assistant
- Event filtering closed by default ([#1169](https://github.com/NousResearch/hermes-agent/pull/1169))
---
## 🖥️ CLI & User Experience
### Interactive CLI
- **Persistent CLI status bar** — always-visible model, provider, and token counts ([#1522](https://github.com/NousResearch/hermes-agent/pull/1522))
- **File path autocomplete** in the input prompt ([#1545](https://github.com/NousResearch/hermes-agent/pull/1545))
- **`/plan` command** — generate implementation plans from specs ([#1372](https://github.com/NousResearch/hermes-agent/pull/1372), [#1381](https://github.com/NousResearch/hermes-agent/pull/1381))
- **Major `/rollback` improvements** — richer checkpoint history, clearer UX ([#1505](https://github.com/NousResearch/hermes-agent/pull/1505))
- **Preload CLI skills on launch** — skills are ready before the first prompt ([#1359](https://github.com/NousResearch/hermes-agent/pull/1359))
- **Centralized slash command registry** — all commands defined once, consumed everywhere ([#1603](https://github.com/NousResearch/hermes-agent/pull/1603))
- `/bg` alias for `/background` ([#1590](https://github.com/NousResearch/hermes-agent/pull/1590))
- Prefix matching for slash commands — `/mod` resolves to `/model` ([#1320](https://github.com/NousResearch/hermes-agent/pull/1320))
- `/new`, `/reset`, `/clear` now start genuinely fresh sessions ([#1237](https://github.com/NousResearch/hermes-agent/pull/1237))
- Accept session ID prefixes for session actions ([#1425](https://github.com/NousResearch/hermes-agent/pull/1425))
- TUI prompt and accent output now respect active skin ([#1282](https://github.com/NousResearch/hermes-agent/pull/1282))
- Centralize tool emoji metadata in registry + skin integration ([#1484](https://github.com/NousResearch/hermes-agent/pull/1484))
- "View full command" option added to dangerous command approval — by @teknium1 based on design by community ([#887](https://github.com/NousResearch/hermes-agent/pull/887))
- Non-blocking startup update check and banner deduplication ([#1386](https://github.com/NousResearch/hermes-agent/pull/1386))
- `/reasoning` command output ordering and inline think extraction fixes ([#1031](https://github.com/NousResearch/hermes-agent/pull/1031))
- Verbose mode shows full untruncated output ([#1472](https://github.com/NousResearch/hermes-agent/pull/1472))
- Fix `/status` to report live state and tokens ([#1476](https://github.com/NousResearch/hermes-agent/pull/1476))
- Seed a default global SOUL.md ([#1311](https://github.com/NousResearch/hermes-agent/pull/1311))
### Setup & Configuration
- **OpenClaw migration** during first-time setup — by @kshitijk4poor ([#981](https://github.com/NousResearch/hermes-agent/pull/981))
- `hermes claw migrate` command + migration docs ([#1059](https://github.com/NousResearch/hermes-agent/pull/1059))
- Smart vision setup that respects the user's chosen provider ([#1323](https://github.com/NousResearch/hermes-agent/pull/1323))
- Handle headless setup flows end-to-end ([#1274](https://github.com/NousResearch/hermes-agent/pull/1274))
- Prefer curses over `simple_term_menu` in setup.py ([#1487](https://github.com/NousResearch/hermes-agent/pull/1487))
- Show effective model and provider in `/status` ([#1284](https://github.com/NousResearch/hermes-agent/pull/1284))
- Config set examples use placeholder syntax ([#1322](https://github.com/NousResearch/hermes-agent/pull/1322))
- Reload .env over stale shell overrides ([#1434](https://github.com/NousResearch/hermes-agent/pull/1434))
- Fix is_coding_plan NameError crash — by @0xbyt4 ([#1123](https://github.com/NousResearch/hermes-agent/pull/1123))
- Add missing packages to setuptools config — by @alt-glitch ([#912](https://github.com/NousResearch/hermes-agent/pull/912))
- Installer: clarify why sudo is needed at every prompt ([#1602](https://github.com/NousResearch/hermes-agent/pull/1602))
---
## 🔧 Tool System
### Terminal & Execution
- **Persistent shell mode** for local and SSH backends — maintain shell state across tool calls — by @alt-glitch ([#1067](https://github.com/NousResearch/hermes-agent/pull/1067), [#1483](https://github.com/NousResearch/hermes-agent/pull/1483))
- **Tirith pre-exec command scanning** — security layer that analyzes commands before execution ([#1256](https://github.com/NousResearch/hermes-agent/pull/1256))
- Strip Hermes provider env vars from all subprocess environments ([#1157](https://github.com/NousResearch/hermes-agent/pull/1157), [#1172](https://github.com/NousResearch/hermes-agent/pull/1172), [#1399](https://github.com/NousResearch/hermes-agent/pull/1399), [#1419](https://github.com/NousResearch/hermes-agent/pull/1419)) — initial fix by @eren-karakus0
- SSH preflight check ([#1486](https://github.com/NousResearch/hermes-agent/pull/1486))
- Docker backend: make cwd workspace mount explicit opt-in ([#1534](https://github.com/NousResearch/hermes-agent/pull/1534))
- Add project root to PYTHONPATH in execute_code sandbox ([#1383](https://github.com/NousResearch/hermes-agent/pull/1383))
- Eliminate execute_code progress spam on gateway platforms ([#1098](https://github.com/NousResearch/hermes-agent/pull/1098))
- Clearer docker backend preflight errors ([#1276](https://github.com/NousResearch/hermes-agent/pull/1276))
### Browser
- **`/browser connect`** — attach browser tools to a live Chrome instance via CDP ([#1549](https://github.com/NousResearch/hermes-agent/pull/1549))
- Improve browser cleanup, local browser PATH setup, and screenshot recovery ([#1333](https://github.com/NousResearch/hermes-agent/pull/1333))
### MCP
- **Selective tool loading** with utility policies — filter which MCP tools are available ([#1302](https://github.com/NousResearch/hermes-agent/pull/1302))
- Auto-reload MCP tools when `mcp_servers` config changes without restart ([#1474](https://github.com/NousResearch/hermes-agent/pull/1474))
- Resolve npx stdio connection failures ([#1291](https://github.com/NousResearch/hermes-agent/pull/1291))
- Preserve MCP toolsets when saving platform tool config ([#1421](https://github.com/NousResearch/hermes-agent/pull/1421))
### Vision
- Unify vision backend gating ([#1367](https://github.com/NousResearch/hermes-agent/pull/1367))
- Surface actual error reason instead of generic message ([#1338](https://github.com/NousResearch/hermes-agent/pull/1338))
- Make Claude image handling work end-to-end ([#1408](https://github.com/NousResearch/hermes-agent/pull/1408))
### Cron
- **Compress cron management into one tool** — single `cronjob` tool replaces multiple commands ([#1343](https://github.com/NousResearch/hermes-agent/pull/1343))
- Suppress duplicate cron sends to auto-delivery targets ([#1357](https://github.com/NousResearch/hermes-agent/pull/1357))
- Persist cron sessions to SQLite ([#1255](https://github.com/NousResearch/hermes-agent/pull/1255))
- Per-job runtime overrides (provider, model, base_url) ([#1398](https://github.com/NousResearch/hermes-agent/pull/1398))
- Atomic write in `save_job_output` to prevent data loss on crash ([#1173](https://github.com/NousResearch/hermes-agent/pull/1173))
- Preserve thread context for `deliver=origin` ([#1437](https://github.com/NousResearch/hermes-agent/pull/1437))
### Patch Tool
- Avoid corrupting pipe chars in V4A patch apply ([#1286](https://github.com/NousResearch/hermes-agent/pull/1286))
- Permissive `block_anchor` thresholds and unicode normalization ([#1539](https://github.com/NousResearch/hermes-agent/pull/1539))
### Delegation
- Add observability metadata to subagent results (model, tokens, duration, tool trace) ([#1175](https://github.com/NousResearch/hermes-agent/pull/1175))
---
## 🧩 Skills Ecosystem
### Skills System
- **Integrate skills.sh** as a hub source alongside ClawHub ([#1303](https://github.com/NousResearch/hermes-agent/pull/1303))
- Secure skill env setup on load ([#1153](https://github.com/NousResearch/hermes-agent/pull/1153))
- Honor policy table for dangerous verdicts ([#1330](https://github.com/NousResearch/hermes-agent/pull/1330))
- Harden ClawHub skill search exact matches ([#1400](https://github.com/NousResearch/hermes-agent/pull/1400))
- Fix ClawHub skill install — use `/download` ZIP endpoint ([#1060](https://github.com/NousResearch/hermes-agent/pull/1060))
- Avoid mislabeling local skills as builtin — by @arceus77-7 ([#862](https://github.com/NousResearch/hermes-agent/pull/862))
### New Skills
- **Linear** project management ([#1230](https://github.com/NousResearch/hermes-agent/pull/1230))
- **X/Twitter** via x-cli ([#1285](https://github.com/NousResearch/hermes-agent/pull/1285))
- **Telephony** — Twilio, SMS, and AI calls ([#1289](https://github.com/NousResearch/hermes-agent/pull/1289))
- **1Password** — by @arceus77-7 ([#883](https://github.com/NousResearch/hermes-agent/pull/883), [#1179](https://github.com/NousResearch/hermes-agent/pull/1179))
- **NeuroSkill BCI** integration ([#1135](https://github.com/NousResearch/hermes-agent/pull/1135))
- **Blender MCP** for 3D modeling ([#1531](https://github.com/NousResearch/hermes-agent/pull/1531))
- **OSS Security Forensics** ([#1482](https://github.com/NousResearch/hermes-agent/pull/1482))
- **Parallel CLI** research skill ([#1301](https://github.com/NousResearch/hermes-agent/pull/1301))
- **OpenCode** CLI skill ([#1174](https://github.com/NousResearch/hermes-agent/pull/1174))
- **ASCII Video** skill refactored — by @SHL0MS ([#1213](https://github.com/NousResearch/hermes-agent/pull/1213), [#1598](https://github.com/NousResearch/hermes-agent/pull/1598))
---
## 🎙️ Voice Mode
- Voice mode foundation — push-to-talk CLI, Telegram/Discord voice notes ([#1299](https://github.com/NousResearch/hermes-agent/pull/1299))
- Free local Whisper transcription via faster-whisper ([#1185](https://github.com/NousResearch/hermes-agent/pull/1185))
- Discord voice channel reliability fixes ([#1429](https://github.com/NousResearch/hermes-agent/pull/1429))
- Restore local STT fallback for gateway voice notes ([#1490](https://github.com/NousResearch/hermes-agent/pull/1490))
- Honor `stt.enabled: false` across gateway transcription ([#1394](https://github.com/NousResearch/hermes-agent/pull/1394))
- Fix bogus incapability message on Telegram voice notes (Issue [#1033](https://github.com/NousResearch/hermes-agent/issues/1033))
---
## 🔌 ACP (IDE Integration)
- Restore ACP server implementation ([#1254](https://github.com/NousResearch/hermes-agent/pull/1254))
- Support slash commands in ACP adapter ([#1532](https://github.com/NousResearch/hermes-agent/pull/1532))
---
## 🧪 RL Training
- **Agentic On-Policy Distillation (OPD)** environment — new RL training environment for agent policy distillation ([#1149](https://github.com/NousResearch/hermes-agent/pull/1149))
- Make tinker-atropos RL training fully optional ([#1062](https://github.com/NousResearch/hermes-agent/pull/1062))
---
## 🔒 Security & Reliability
### Security Hardening
- **Tirith pre-exec command scanning** — static analysis of terminal commands before execution ([#1256](https://github.com/NousResearch/hermes-agent/pull/1256))
- **PII redaction** when `privacy.redact_pii` is enabled ([#1542](https://github.com/NousResearch/hermes-agent/pull/1542))
- Strip Hermes provider/gateway/tool env vars from all subprocess environments ([#1157](https://github.com/NousResearch/hermes-agent/pull/1157), [#1172](https://github.com/NousResearch/hermes-agent/pull/1172), [#1399](https://github.com/NousResearch/hermes-agent/pull/1399), [#1419](https://github.com/NousResearch/hermes-agent/pull/1419))
- Docker cwd workspace mount now explicit opt-in — never auto-mount host directories ([#1534](https://github.com/NousResearch/hermes-agent/pull/1534))
- Escape parens and braces in fork bomb regex pattern ([#1397](https://github.com/NousResearch/hermes-agent/pull/1397))
- Harden `.worktreeinclude` path containment ([#1388](https://github.com/NousResearch/hermes-agent/pull/1388))
- Use description as `pattern_key` to prevent approval collisions ([#1395](https://github.com/NousResearch/hermes-agent/pull/1395))
### Reliability
- Guard init-time stdio writes ([#1271](https://github.com/NousResearch/hermes-agent/pull/1271))
- Session log writes reuse shared atomic JSON helper ([#1280](https://github.com/NousResearch/hermes-agent/pull/1280))
- Atomic temp cleanup protected on interrupts ([#1401](https://github.com/NousResearch/hermes-agent/pull/1401))
---
## 🐛 Notable Bug Fixes
- **`/status` always showing 0 tokens** — now reports live state (Issue [#1465](https://github.com/NousResearch/hermes-agent/issues/1465), [#1476](https://github.com/NousResearch/hermes-agent/pull/1476))
- **Custom model endpoints not working** — restored config-saved endpoint resolution (Issue [#1460](https://github.com/NousResearch/hermes-agent/issues/1460), [#1373](https://github.com/NousResearch/hermes-agent/pull/1373))
- **MCP tools not visible until restart** — auto-reload on config change (Issue [#1036](https://github.com/NousResearch/hermes-agent/issues/1036), [#1474](https://github.com/NousResearch/hermes-agent/pull/1474))
- **`hermes tools` removing MCP tools** — preserve MCP toolsets when saving (Issue [#1247](https://github.com/NousResearch/hermes-agent/issues/1247), [#1421](https://github.com/NousResearch/hermes-agent/pull/1421))
- **Terminal subprocesses inheriting `OPENAI_BASE_URL`** breaking external tools (Issue [#1002](https://github.com/NousResearch/hermes-agent/issues/1002), [#1399](https://github.com/NousResearch/hermes-agent/pull/1399))
- **Background process lost on gateway restart** — improved recovery (Issue [#1144](https://github.com/NousResearch/hermes-agent/issues/1144))
- **Cron jobs not persisting state** — now stored in SQLite (Issue [#1416](https://github.com/NousResearch/hermes-agent/issues/1416), [#1255](https://github.com/NousResearch/hermes-agent/pull/1255))
- **Cronjob `deliver: origin` not preserving thread context** (Issue [#1219](https://github.com/NousResearch/hermes-agent/issues/1219), [#1437](https://github.com/NousResearch/hermes-agent/pull/1437))
- **Gateway systemd service failing to auto-restart** when browser processes orphaned (Issue [#1617](https://github.com/NousResearch/hermes-agent/issues/1617))
- **`/background` completion report cut off in Telegram** (Issue [#1443](https://github.com/NousResearch/hermes-agent/issues/1443))
- **Model switching not taking effect** (Issue [#1244](https://github.com/NousResearch/hermes-agent/issues/1244), [#1183](https://github.com/NousResearch/hermes-agent/pull/1183))
- **`hermes doctor` reporting cronjob as unavailable** (Issue [#878](https://github.com/NousResearch/hermes-agent/issues/878), [#1180](https://github.com/NousResearch/hermes-agent/pull/1180))
- **WhatsApp bridge messages not received** from mobile (Issue [#1142](https://github.com/NousResearch/hermes-agent/issues/1142))
- **Setup wizard hanging on headless SSH** (Issue [#905](https://github.com/NousResearch/hermes-agent/issues/905), [#1274](https://github.com/NousResearch/hermes-agent/pull/1274))
- **Log handler accumulation** degrading gateway performance (Issue [#990](https://github.com/NousResearch/hermes-agent/issues/990), [#1251](https://github.com/NousResearch/hermes-agent/pull/1251))
- **Gateway NULL model in DB** (Issue [#987](https://github.com/NousResearch/hermes-agent/issues/987), [#1306](https://github.com/NousResearch/hermes-agent/pull/1306))
- **Strict endpoints rejecting replayed tool_calls** (Issue [#893](https://github.com/NousResearch/hermes-agent/issues/893))
- **Remaining hardcoded `~/.hermes` paths** — all now respect `HERMES_HOME` (Issue [#892](https://github.com/NousResearch/hermes-agent/issues/892), [#1233](https://github.com/NousResearch/hermes-agent/pull/1233))
- **Delegate tool not working with custom inference providers** (Issue [#1011](https://github.com/NousResearch/hermes-agent/issues/1011), [#1328](https://github.com/NousResearch/hermes-agent/pull/1328))
- **Skills Guard blocking official skills** (Issue [#1006](https://github.com/NousResearch/hermes-agent/issues/1006), [#1330](https://github.com/NousResearch/hermes-agent/pull/1330))
- **Setup writing provider before model selection** (Issue [#1182](https://github.com/NousResearch/hermes-agent/issues/1182))
- **`GatewayConfig.get()` AttributeError** crashing all message handling (Issue [#1158](https://github.com/NousResearch/hermes-agent/issues/1158), [#1287](https://github.com/NousResearch/hermes-agent/pull/1287))
- **`/update` hard-failing with "command not found"** (Issue [#1049](https://github.com/NousResearch/hermes-agent/issues/1049))
- **Image analysis failing silently** (Issue [#1034](https://github.com/NousResearch/hermes-agent/issues/1034), [#1338](https://github.com/NousResearch/hermes-agent/pull/1338))
- **API `BadRequestError` from `'dict'` object has no attribute `'strip'`** (Issue [#1071](https://github.com/NousResearch/hermes-agent/issues/1071))
- **Slash commands requiring exact full name** — now uses prefix matching (Issue [#928](https://github.com/NousResearch/hermes-agent/issues/928), [#1320](https://github.com/NousResearch/hermes-agent/pull/1320))
- **Gateway stops responding when terminal is closed on headless** (Issue [#1005](https://github.com/NousResearch/hermes-agent/issues/1005))
---
## 🧪 Testing
- Cover empty cached Anthropic tool-call turns ([#1222](https://github.com/NousResearch/hermes-agent/pull/1222))
- Fix stale CI assumptions in parser and quick-command coverage ([#1236](https://github.com/NousResearch/hermes-agent/pull/1236))
- Fix gateway async tests without implicit event loop ([#1278](https://github.com/NousResearch/hermes-agent/pull/1278))
- Make gateway async tests xdist-safe ([#1281](https://github.com/NousResearch/hermes-agent/pull/1281))
- Cross-timezone naive timestamp regression for cron ([#1319](https://github.com/NousResearch/hermes-agent/pull/1319))
- Isolate codex provider tests from local env ([#1335](https://github.com/NousResearch/hermes-agent/pull/1335))
- Lock retry replacement semantics ([#1379](https://github.com/NousResearch/hermes-agent/pull/1379))
- Improve error logging in session search tool — by @aydnOktay ([#1533](https://github.com/NousResearch/hermes-agent/pull/1533))
---
## 📚 Documentation
- Comprehensive SOUL.md guide ([#1315](https://github.com/NousResearch/hermes-agent/pull/1315))
- Voice mode documentation ([#1316](https://github.com/NousResearch/hermes-agent/pull/1316), [#1362](https://github.com/NousResearch/hermes-agent/pull/1362))
- Provider contribution guide ([#1361](https://github.com/NousResearch/hermes-agent/pull/1361))
- ACP and internal systems implementation guides ([#1259](https://github.com/NousResearch/hermes-agent/pull/1259))
- Expand Docusaurus coverage across CLI, tools, skills, and skins ([#1232](https://github.com/NousResearch/hermes-agent/pull/1232))
- Terminal backend and Windows troubleshooting ([#1297](https://github.com/NousResearch/hermes-agent/pull/1297))
- Skills hub reference section ([#1317](https://github.com/NousResearch/hermes-agent/pull/1317))
- Checkpoint, /rollback, and git worktrees guide ([#1493](https://github.com/NousResearch/hermes-agent/pull/1493), [#1524](https://github.com/NousResearch/hermes-agent/pull/1524))
- CLI status bar and /usage reference ([#1523](https://github.com/NousResearch/hermes-agent/pull/1523))
- Fallback providers + /background command docs ([#1430](https://github.com/NousResearch/hermes-agent/pull/1430))
- Gateway service scopes docs ([#1378](https://github.com/NousResearch/hermes-agent/pull/1378))
- Slack thread reply behavior docs ([#1407](https://github.com/NousResearch/hermes-agent/pull/1407))
- Redesigned landing page with Nous blue palette — by @austinpickett ([#974](https://github.com/NousResearch/hermes-agent/pull/974))
- Fix several documentation typos — by @JackTheGit ([#953](https://github.com/NousResearch/hermes-agent/pull/953))
- Stabilize website diagrams ([#1405](https://github.com/NousResearch/hermes-agent/pull/1405))
- CLI vs messaging quick reference in README ([#1491](https://github.com/NousResearch/hermes-agent/pull/1491))
- Add search to Docusaurus ([#1053](https://github.com/NousResearch/hermes-agent/pull/1053))
- Home Assistant integration docs ([#1170](https://github.com/NousResearch/hermes-agent/pull/1170))
---
## 👥 Contributors
### Core
- **@teknium1** — 220+ PRs spanning every area of the codebase
### Top Community Contributors
- **@0xbyt4** (4 PRs) — Anthropic adapter fixes (max_tokens, fallback crash, 429/529 retry), Slack file upload thread context, setup NameError fix
- **@erosika** (1 PR) — Honcho memory integration: async writes, memory modes, session title integration
- **@SHL0MS** (2 PRs) — ASCII video skill design patterns and refactoring
- **@alt-glitch** (2 PRs) — Persistent shell mode for local/SSH backends, setuptools packaging fix
- **@arceus77-7** (2 PRs) — 1Password skill, fix skills list mislabeling
- **@kshitijk4poor** (1 PR) — OpenClaw migration during setup wizard
- **@ASRagab** (1 PR) — Fix adaptive thinking for Claude 4.6 models
- **@eren-karakus0** (1 PR) — Strip Hermes provider env vars from subprocess environment
- **@mr-emmett-one** (1 PR) — Fix DeepSeek V3 parser multi-tool call support
- **@jplew** (1 PR) — Gateway restart on retryable startup failures
- **@brandtcormorant** (1 PR) — Fix Anthropic cache control for empty text blocks
- **@aydnOktay** (1 PR) — Improve error logging in session search tool
- **@austinpickett** (1 PR) — Landing page redesign with Nous blue palette
- **@JackTheGit** (1 PR) — Documentation typo fixes
### All Contributors
@0xbyt4, @alt-glitch, @arceus77-7, @ASRagab, @austinpickett, @aydnOktay, @brandtcormorant, @eren-karakus0, @erosika, @JackTheGit, @jplew, @kshitijk4poor, @mr-emmett-one, @SHL0MS, @teknium1
---
**Full Changelog**: [v2026.3.12...v2026.3.17](https://github.com/NousResearch/hermes-agent/compare/v2026.3.12...v2026.3.17)

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# Hermes Agent v0.4.0 (v2026.3.23)
**Release Date:** March 23, 2026
> The platform expansion release — OpenAI-compatible API server, 6 new messaging adapters, 4 new inference providers, MCP server management with OAuth 2.1, @ context references, gateway prompt caching, streaming enabled by default, and a sweeping reliability pass with 200+ bug fixes.
---
## ✨ Highlights
- **OpenAI-compatible API server** — Expose Hermes as an `/v1/chat/completions` endpoint with a new `/api/jobs` REST API for cron job management, hardened with input limits, field whitelists, SQLite-backed response persistence, and CORS origin protection ([#1756](https://github.com/NousResearch/hermes-agent/pull/1756), [#2450](https://github.com/NousResearch/hermes-agent/pull/2450), [#2456](https://github.com/NousResearch/hermes-agent/pull/2456), [#2451](https://github.com/NousResearch/hermes-agent/pull/2451), [#2472](https://github.com/NousResearch/hermes-agent/pull/2472))
- **6 new messaging platform adapters** — Signal, DingTalk, SMS (Twilio), Mattermost, Matrix, and Webhook adapters join Telegram, Discord, and WhatsApp. Gateway auto-reconnects failed platforms with exponential backoff ([#2206](https://github.com/NousResearch/hermes-agent/pull/2206), [#1685](https://github.com/NousResearch/hermes-agent/pull/1685), [#1688](https://github.com/NousResearch/hermes-agent/pull/1688), [#1683](https://github.com/NousResearch/hermes-agent/pull/1683), [#2166](https://github.com/NousResearch/hermes-agent/pull/2166), [#2584](https://github.com/NousResearch/hermes-agent/pull/2584))
- **@ context references** — Claude Code-style `@file` and `@url` context injection with tab completions in the CLI ([#2343](https://github.com/NousResearch/hermes-agent/pull/2343), [#2482](https://github.com/NousResearch/hermes-agent/pull/2482))
- **4 new inference providers** — GitHub Copilot (OAuth + token validation), Alibaba Cloud / DashScope, Kilo Code, and OpenCode Zen/Go ([#1924](https://github.com/NousResearch/hermes-agent/pull/1924), [#1879](https://github.com/NousResearch/hermes-agent/pull/1879) by @mchzimm, [#1673](https://github.com/NousResearch/hermes-agent/pull/1673), [#1666](https://github.com/NousResearch/hermes-agent/pull/1666), [#1650](https://github.com/NousResearch/hermes-agent/pull/1650))
- **MCP server management CLI** — `hermes mcp` commands for installing, configuring, and authenticating MCP servers with full OAuth 2.1 PKCE flow ([#2465](https://github.com/NousResearch/hermes-agent/pull/2465))
- **Gateway prompt caching** — Cache AIAgent instances per session, preserving Anthropic prompt cache across turns for dramatic cost reduction on long conversations ([#2282](https://github.com/NousResearch/hermes-agent/pull/2282), [#2284](https://github.com/NousResearch/hermes-agent/pull/2284), [#2361](https://github.com/NousResearch/hermes-agent/pull/2361))
- **Context compression overhaul** — Structured summaries with iterative updates, token-budget tail protection, configurable summary endpoint, and fallback model support ([#2323](https://github.com/NousResearch/hermes-agent/pull/2323), [#1727](https://github.com/NousResearch/hermes-agent/pull/1727), [#2224](https://github.com/NousResearch/hermes-agent/pull/2224))
- **Streaming enabled by default** — CLI streaming on by default with proper spinner/tool progress display during streaming mode, plus extensive linebreak and concatenation fixes ([#2340](https://github.com/NousResearch/hermes-agent/pull/2340), [#2161](https://github.com/NousResearch/hermes-agent/pull/2161), [#2258](https://github.com/NousResearch/hermes-agent/pull/2258))
---
## 🖥️ CLI & User Experience
### New Commands & Interactions
- **@ context completions** — Tab-completable `@file`/`@url` references that inject file content or web pages into the conversation ([#2482](https://github.com/NousResearch/hermes-agent/pull/2482), [#2343](https://github.com/NousResearch/hermes-agent/pull/2343))
- **`/statusbar`** — Toggle a persistent config bar showing model + provider info in the prompt ([#2240](https://github.com/NousResearch/hermes-agent/pull/2240), [#1917](https://github.com/NousResearch/hermes-agent/pull/1917))
- **`/queue`** — Queue prompts for the agent without interrupting the current run ([#2191](https://github.com/NousResearch/hermes-agent/pull/2191), [#2469](https://github.com/NousResearch/hermes-agent/pull/2469))
- **`/permission`** — Switch approval mode dynamically during a session ([#2207](https://github.com/NousResearch/hermes-agent/pull/2207))
- **`/browser`** — Interactive browser sessions from the CLI ([#2273](https://github.com/NousResearch/hermes-agent/pull/2273), [#1814](https://github.com/NousResearch/hermes-agent/pull/1814))
- **`/cost`** — Live pricing and usage tracking in gateway mode ([#2180](https://github.com/NousResearch/hermes-agent/pull/2180))
- **`/approve` and `/deny`** — Replaced bare text approval in gateway with explicit commands ([#2002](https://github.com/NousResearch/hermes-agent/pull/2002))
### Streaming & Display
- Streaming enabled by default in CLI ([#2340](https://github.com/NousResearch/hermes-agent/pull/2340))
- Show spinners and tool progress during streaming mode ([#2161](https://github.com/NousResearch/hermes-agent/pull/2161))
- Show reasoning/thinking blocks when `show_reasoning` enabled ([#2118](https://github.com/NousResearch/hermes-agent/pull/2118))
- Context pressure warnings for CLI and gateway ([#2159](https://github.com/NousResearch/hermes-agent/pull/2159))
- Fix: streaming chunks concatenated without whitespace ([#2258](https://github.com/NousResearch/hermes-agent/pull/2258))
- Fix: iteration boundary linebreak prevents stream concatenation ([#2413](https://github.com/NousResearch/hermes-agent/pull/2413))
- Fix: defer streaming linebreak to prevent blank line stacking ([#2473](https://github.com/NousResearch/hermes-agent/pull/2473))
- Fix: suppress spinner animation in non-TTY environments ([#2216](https://github.com/NousResearch/hermes-agent/pull/2216))
- Fix: display provider and endpoint in API error messages ([#2266](https://github.com/NousResearch/hermes-agent/pull/2266))
- Fix: resolve garbled ANSI escape codes in status printouts ([#2448](https://github.com/NousResearch/hermes-agent/pull/2448))
- Fix: update gold ANSI color to true-color format ([#2246](https://github.com/NousResearch/hermes-agent/pull/2246))
- Fix: normalize toolset labels and use skin colors in banner ([#1912](https://github.com/NousResearch/hermes-agent/pull/1912))
### CLI Polish
- Fix: prevent 'Press ENTER to continue...' on exit ([#2555](https://github.com/NousResearch/hermes-agent/pull/2555))
- Fix: flush stdout during agent loop to prevent macOS display freeze ([#1654](https://github.com/NousResearch/hermes-agent/pull/1654))
- Fix: show human-readable error when `hermes setup` hits permissions error ([#2196](https://github.com/NousResearch/hermes-agent/pull/2196))
- Fix: `/stop` command crash + UnboundLocalError in streaming media delivery ([#2463](https://github.com/NousResearch/hermes-agent/pull/2463))
- Fix: allow custom/local endpoints without API key ([#2556](https://github.com/NousResearch/hermes-agent/pull/2556))
- Fix: Kitty keyboard protocol Shift+Enter for Ghostty/WezTerm (attempted + reverted due to prompt_toolkit crash) ([#2345](https://github.com/NousResearch/hermes-agent/pull/2345), [#2349](https://github.com/NousResearch/hermes-agent/pull/2349))
### Configuration
- **`${ENV_VAR}` substitution** in config.yaml ([#2684](https://github.com/NousResearch/hermes-agent/pull/2684))
- **Real-time config reload** — config.yaml changes apply without restart ([#2210](https://github.com/NousResearch/hermes-agent/pull/2210))
- **`custom_models.yaml`** for user-managed model additions ([#2214](https://github.com/NousResearch/hermes-agent/pull/2214))
- **Priority-based context file selection** + CLAUDE.md support ([#2301](https://github.com/NousResearch/hermes-agent/pull/2301))
- **Merge nested YAML sections** instead of replacing on config update ([#2213](https://github.com/NousResearch/hermes-agent/pull/2213))
- Fix: config.yaml provider key overrides env var silently ([#2272](https://github.com/NousResearch/hermes-agent/pull/2272))
- Fix: log warning instead of silently swallowing config.yaml errors ([#2683](https://github.com/NousResearch/hermes-agent/pull/2683))
- Fix: disabled toolsets re-enable themselves after `hermes tools` ([#2268](https://github.com/NousResearch/hermes-agent/pull/2268))
- Fix: platform default toolsets silently override tool deselection ([#2624](https://github.com/NousResearch/hermes-agent/pull/2624))
- Fix: honor bare YAML `approvals.mode: off` ([#2620](https://github.com/NousResearch/hermes-agent/pull/2620))
- Fix: `hermes update` use `.[all]` extras with fallback ([#1728](https://github.com/NousResearch/hermes-agent/pull/1728))
- Fix: `hermes update` prompt before resetting working tree on stash conflicts ([#2390](https://github.com/NousResearch/hermes-agent/pull/2390))
- Fix: use git pull --rebase in update/install to avoid divergent branch error ([#2274](https://github.com/NousResearch/hermes-agent/pull/2274))
- Fix: add zprofile fallback and create zshrc on fresh macOS installs ([#2320](https://github.com/NousResearch/hermes-agent/pull/2320))
- Fix: remove `ANTHROPIC_BASE_URL` env var to avoid collisions ([#1675](https://github.com/NousResearch/hermes-agent/pull/1675))
- Fix: don't ask IMAP password if already in keyring or env ([#2212](https://github.com/NousResearch/hermes-agent/pull/2212))
- Fix: OpenCode Zen/Go show OpenRouter models instead of their own ([#2277](https://github.com/NousResearch/hermes-agent/pull/2277))
---
## 🏗️ Core Agent & Architecture
### New Providers
- **GitHub Copilot** — Full OAuth auth, API routing, token validation, and 400k context. ([#1924](https://github.com/NousResearch/hermes-agent/pull/1924), [#1896](https://github.com/NousResearch/hermes-agent/pull/1896), [#1879](https://github.com/NousResearch/hermes-agent/pull/1879) by @mchzimm, [#2507](https://github.com/NousResearch/hermes-agent/pull/2507))
- **Alibaba Cloud / DashScope** — Full integration with DashScope v1 runtime, model dot preservation, and 401 auth fixes ([#1673](https://github.com/NousResearch/hermes-agent/pull/1673), [#2332](https://github.com/NousResearch/hermes-agent/pull/2332), [#2459](https://github.com/NousResearch/hermes-agent/pull/2459))
- **Kilo Code** — First-class inference provider ([#1666](https://github.com/NousResearch/hermes-agent/pull/1666))
- **OpenCode Zen and OpenCode Go** — New provider backends ([#1650](https://github.com/NousResearch/hermes-agent/pull/1650), [#2393](https://github.com/NousResearch/hermes-agent/pull/2393) by @0xbyt4)
- **NeuTTS** — Local TTS provider backend with built-in setup flow, replacing the old optional skill ([#1657](https://github.com/NousResearch/hermes-agent/pull/1657), [#1664](https://github.com/NousResearch/hermes-agent/pull/1664))
### Provider Improvements
- **Eager fallback** to backup model on rate-limit errors ([#1730](https://github.com/NousResearch/hermes-agent/pull/1730))
- **Endpoint metadata** for custom model context and pricing; query local servers for actual context window size ([#1906](https://github.com/NousResearch/hermes-agent/pull/1906), [#2091](https://github.com/NousResearch/hermes-agent/pull/2091) by @dusterbloom)
- **Context length detection overhaul** — models.dev integration, provider-aware resolution, fuzzy matching for custom endpoints, `/v1/props` for llama.cpp ([#2158](https://github.com/NousResearch/hermes-agent/pull/2158), [#2051](https://github.com/NousResearch/hermes-agent/pull/2051), [#2403](https://github.com/NousResearch/hermes-agent/pull/2403))
- **Model catalog updates** — gpt-5.4-mini, gpt-5.4-nano, healer-alpha, haiku-4.5, minimax-m2.7, claude 4.6 at 1M context ([#1913](https://github.com/NousResearch/hermes-agent/pull/1913), [#1915](https://github.com/NousResearch/hermes-agent/pull/1915), [#1900](https://github.com/NousResearch/hermes-agent/pull/1900), [#2155](https://github.com/NousResearch/hermes-agent/pull/2155), [#2474](https://github.com/NousResearch/hermes-agent/pull/2474))
- **Custom endpoint improvements** — `model.base_url` in config.yaml, `api_mode` override for responses API, allow endpoints without API key, fail fast on missing keys ([#2330](https://github.com/NousResearch/hermes-agent/pull/2330), [#1651](https://github.com/NousResearch/hermes-agent/pull/1651), [#2556](https://github.com/NousResearch/hermes-agent/pull/2556), [#2445](https://github.com/NousResearch/hermes-agent/pull/2445), [#1994](https://github.com/NousResearch/hermes-agent/pull/1994), [#1998](https://github.com/NousResearch/hermes-agent/pull/1998))
- Inject model and provider into system prompt ([#1929](https://github.com/NousResearch/hermes-agent/pull/1929))
- Tie `api_mode` to provider config instead of env var ([#1656](https://github.com/NousResearch/hermes-agent/pull/1656))
- Fix: prevent Anthropic token leaking to third-party `anthropic_messages` providers ([#2389](https://github.com/NousResearch/hermes-agent/pull/2389))
- Fix: prevent Anthropic fallback from inheriting non-Anthropic `base_url` ([#2388](https://github.com/NousResearch/hermes-agent/pull/2388))
- Fix: `auxiliary_is_nous` flag never resets — leaked Nous tags to other providers ([#1713](https://github.com/NousResearch/hermes-agent/pull/1713))
- Fix: Anthropic `tool_choice 'none'` still allowed tool calls ([#1714](https://github.com/NousResearch/hermes-agent/pull/1714))
- Fix: Mistral parser nested JSON fallback extraction ([#2335](https://github.com/NousResearch/hermes-agent/pull/2335))
- Fix: MiniMax 401 auth resolved by defaulting to `anthropic_messages` ([#2103](https://github.com/NousResearch/hermes-agent/pull/2103))
- Fix: case-insensitive model family matching ([#2350](https://github.com/NousResearch/hermes-agent/pull/2350))
- Fix: ignore placeholder provider keys in activation checks ([#2358](https://github.com/NousResearch/hermes-agent/pull/2358))
- Fix: Preserve Ollama model:tag colons in context length detection ([#2149](https://github.com/NousResearch/hermes-agent/pull/2149))
- Fix: recognize Claude Code OAuth credentials in startup gate ([#1663](https://github.com/NousResearch/hermes-agent/pull/1663))
- Fix: detect Claude Code version dynamically for OAuth user-agent ([#1670](https://github.com/NousResearch/hermes-agent/pull/1670))
- Fix: OAuth flag stale after refresh/fallback ([#1890](https://github.com/NousResearch/hermes-agent/pull/1890))
- Fix: auxiliary client skips expired Codex JWT ([#2397](https://github.com/NousResearch/hermes-agent/pull/2397))
### Agent Loop
- **Gateway prompt caching** — Cache AIAgent per session, keep assistant turns, fix session restore ([#2282](https://github.com/NousResearch/hermes-agent/pull/2282), [#2284](https://github.com/NousResearch/hermes-agent/pull/2284), [#2361](https://github.com/NousResearch/hermes-agent/pull/2361))
- **Context compression overhaul** — Structured summaries, iterative updates, token-budget tail protection, configurable `summary_base_url` ([#2323](https://github.com/NousResearch/hermes-agent/pull/2323), [#1727](https://github.com/NousResearch/hermes-agent/pull/1727), [#2224](https://github.com/NousResearch/hermes-agent/pull/2224))
- **Pre-call sanitization and post-call tool guardrails** ([#1732](https://github.com/NousResearch/hermes-agent/pull/1732))
- **Auto-recover** from provider-rejected `tool_choice` by retrying without ([#2174](https://github.com/NousResearch/hermes-agent/pull/2174))
- **Background memory/skill review** replaces inline nudges ([#2235](https://github.com/NousResearch/hermes-agent/pull/2235))
- **SOUL.md as primary agent identity** instead of hardcoded default ([#1922](https://github.com/NousResearch/hermes-agent/pull/1922))
- Fix: prevent silent tool result loss during context compression ([#1993](https://github.com/NousResearch/hermes-agent/pull/1993))
- Fix: handle empty/null function arguments in tool call recovery ([#2163](https://github.com/NousResearch/hermes-agent/pull/2163))
- Fix: handle API refusal responses gracefully instead of crashing ([#2156](https://github.com/NousResearch/hermes-agent/pull/2156))
- Fix: prevent stuck agent loop on malformed tool calls ([#2114](https://github.com/NousResearch/hermes-agent/pull/2114))
- Fix: return JSON parse error to model instead of dispatching with empty args ([#2342](https://github.com/NousResearch/hermes-agent/pull/2342))
- Fix: consecutive assistant message merge drops content on mixed types ([#1703](https://github.com/NousResearch/hermes-agent/pull/1703))
- Fix: message role alternation violations in JSON recovery and error handler ([#1722](https://github.com/NousResearch/hermes-agent/pull/1722))
- Fix: `compression_attempts` resets each iteration — allowed unlimited compressions ([#1723](https://github.com/NousResearch/hermes-agent/pull/1723))
- Fix: `length_continue_retries` never resets — later truncations got fewer retries ([#1717](https://github.com/NousResearch/hermes-agent/pull/1717))
- Fix: compressor summary role violated consecutive-role constraint ([#1720](https://github.com/NousResearch/hermes-agent/pull/1720), [#1743](https://github.com/NousResearch/hermes-agent/pull/1743))
- Fix: remove hardcoded `gemini-3-flash-preview` as default summary model ([#2464](https://github.com/NousResearch/hermes-agent/pull/2464))
- Fix: correctly handle empty tool results ([#2201](https://github.com/NousResearch/hermes-agent/pull/2201))
- Fix: crash on None entry in `tool_calls` list ([#2209](https://github.com/NousResearch/hermes-agent/pull/2209) by @0xbyt4, [#2316](https://github.com/NousResearch/hermes-agent/pull/2316))
- Fix: per-thread persistent event loops in worker threads ([#2214](https://github.com/NousResearch/hermes-agent/pull/2214) by @jquesnelle)
- Fix: prevent 'event loop already running' when async tools run in parallel ([#2207](https://github.com/NousResearch/hermes-agent/pull/2207))
- Fix: strip ANSI at the source — clean terminal output before it reaches the model ([#2115](https://github.com/NousResearch/hermes-agent/pull/2115))
- Fix: skip top-level `cache_control` on role:tool for OpenRouter ([#2391](https://github.com/NousResearch/hermes-agent/pull/2391))
- Fix: delegate tool — save parent tool names before child construction mutates global ([#2083](https://github.com/NousResearch/hermes-agent/pull/2083) by @ygd58, [#1894](https://github.com/NousResearch/hermes-agent/pull/1894))
- Fix: only strip last assistant message if empty string ([#2326](https://github.com/NousResearch/hermes-agent/pull/2326))
### Session & Memory
- **Session search** and management slash commands ([#2198](https://github.com/NousResearch/hermes-agent/pull/2198))
- **Auto session titles** and `.hermes.md` project config ([#1712](https://github.com/NousResearch/hermes-agent/pull/1712))
- Fix: concurrent memory writes silently drop entries — added file locking ([#1726](https://github.com/NousResearch/hermes-agent/pull/1726))
- Fix: search all sources by default in `session_search` ([#1892](https://github.com/NousResearch/hermes-agent/pull/1892))
- Fix: handle hyphenated FTS5 queries and preserve quoted literals ([#1776](https://github.com/NousResearch/hermes-agent/pull/1776))
- Fix: skip corrupt lines in `load_transcript` instead of crashing ([#1744](https://github.com/NousResearch/hermes-agent/pull/1744))
- Fix: normalize session keys to prevent case-sensitive duplicates ([#2157](https://github.com/NousResearch/hermes-agent/pull/2157))
- Fix: prevent `session_search` crash when no sessions exist ([#2194](https://github.com/NousResearch/hermes-agent/pull/2194))
- Fix: reset token counters on new session for accurate usage display ([#2101](https://github.com/NousResearch/hermes-agent/pull/2101) by @InB4DevOps)
- Fix: prevent stale memory overwrites by flush agent ([#2687](https://github.com/NousResearch/hermes-agent/pull/2687))
- Fix: remove synthetic error message injection, fix session resume after repeated failures ([#2303](https://github.com/NousResearch/hermes-agent/pull/2303))
- Fix: quiet mode with `--resume` now passes conversation_history ([#2357](https://github.com/NousResearch/hermes-agent/pull/2357))
- Fix: unify resume logic in batch mode ([#2331](https://github.com/NousResearch/hermes-agent/pull/2331))
### Honcho Memory
- Honcho config fixes and @ context reference integration ([#2343](https://github.com/NousResearch/hermes-agent/pull/2343))
- Self-hosted / Docker configuration documentation ([#2475](https://github.com/NousResearch/hermes-agent/pull/2475))
---
## 📱 Messaging Platforms (Gateway)
### New Platform Adapters
- **Signal Messenger** — Full adapter with attachment handling, group message filtering, and Note to Self echo-back protection ([#2206](https://github.com/NousResearch/hermes-agent/pull/2206), [#2400](https://github.com/NousResearch/hermes-agent/pull/2400), [#2297](https://github.com/NousResearch/hermes-agent/pull/2297), [#2156](https://github.com/NousResearch/hermes-agent/pull/2156))
- **DingTalk** — Adapter with gateway wiring and setup docs ([#1685](https://github.com/NousResearch/hermes-agent/pull/1685), [#1690](https://github.com/NousResearch/hermes-agent/pull/1690), [#1692](https://github.com/NousResearch/hermes-agent/pull/1692))
- **SMS (Twilio)** ([#1688](https://github.com/NousResearch/hermes-agent/pull/1688))
- **Mattermost** — With @-mention-only channel filter ([#1683](https://github.com/NousResearch/hermes-agent/pull/1683), [#2443](https://github.com/NousResearch/hermes-agent/pull/2443))
- **Matrix** — With vision support and image caching ([#1683](https://github.com/NousResearch/hermes-agent/pull/1683), [#2520](https://github.com/NousResearch/hermes-agent/pull/2520))
- **Webhook** — Platform adapter for external event triggers ([#2166](https://github.com/NousResearch/hermes-agent/pull/2166))
- **OpenAI-compatible API server** — `/v1/chat/completions` endpoint with `/api/jobs` cron management ([#1756](https://github.com/NousResearch/hermes-agent/pull/1756), [#2450](https://github.com/NousResearch/hermes-agent/pull/2450), [#2456](https://github.com/NousResearch/hermes-agent/pull/2456))
### Telegram Improvements
- MarkdownV2 support — strikethrough, spoiler, blockquotes, escape parentheses/braces/backslashes/backticks ([#2199](https://github.com/NousResearch/hermes-agent/pull/2199), [#2200](https://github.com/NousResearch/hermes-agent/pull/2200) by @llbn, [#2386](https://github.com/NousResearch/hermes-agent/pull/2386))
- Auto-detect HTML tags and use `parse_mode=HTML` ([#1709](https://github.com/NousResearch/hermes-agent/pull/1709))
- Telegram group vision support + thread-based sessions ([#2153](https://github.com/NousResearch/hermes-agent/pull/2153))
- Auto-reconnect polling after network interruption ([#2517](https://github.com/NousResearch/hermes-agent/pull/2517))
- Aggregate split text messages before dispatching ([#1674](https://github.com/NousResearch/hermes-agent/pull/1674))
- Fix: streaming config bridge, not-modified, flood control ([#1782](https://github.com/NousResearch/hermes-agent/pull/1782), [#1783](https://github.com/NousResearch/hermes-agent/pull/1783))
- Fix: edited_message event crashes ([#2074](https://github.com/NousResearch/hermes-agent/pull/2074))
- Fix: retry 409 polling conflicts before giving up ([#2312](https://github.com/NousResearch/hermes-agent/pull/2312))
- Fix: topic delivery via `platform:chat_id:thread_id` format ([#2455](https://github.com/NousResearch/hermes-agent/pull/2455))
### Discord Improvements
- Document caching and text-file injection ([#2503](https://github.com/NousResearch/hermes-agent/pull/2503))
- Persistent typing indicator for DMs ([#2468](https://github.com/NousResearch/hermes-agent/pull/2468))
- Discord DM vision — inline images + attachment analysis ([#2186](https://github.com/NousResearch/hermes-agent/pull/2186))
- Persist thread participation across gateway restarts ([#1661](https://github.com/NousResearch/hermes-agent/pull/1661))
- Fix: gateway crash on non-ASCII guild names ([#2302](https://github.com/NousResearch/hermes-agent/pull/2302))
- Fix: thread permission errors ([#2073](https://github.com/NousResearch/hermes-agent/pull/2073))
- Fix: slash event routing in threads ([#2460](https://github.com/NousResearch/hermes-agent/pull/2460))
- Fix: remove bugged followup messages + `/ask` command ([#1836](https://github.com/NousResearch/hermes-agent/pull/1836))
- Fix: graceful WebSocket reconnection ([#2127](https://github.com/NousResearch/hermes-agent/pull/2127))
- Fix: voice channel TTS when streaming enabled ([#2322](https://github.com/NousResearch/hermes-agent/pull/2322))
### WhatsApp & Other Adapters
- WhatsApp: outbound `send_message` routing ([#1769](https://github.com/NousResearch/hermes-agent/pull/1769) by @sai-samarth), LID format self-chat ([#1667](https://github.com/NousResearch/hermes-agent/pull/1667)), `reply_prefix` config fix ([#1923](https://github.com/NousResearch/hermes-agent/pull/1923)), restart on bridge child exit ([#2334](https://github.com/NousResearch/hermes-agent/pull/2334)), image/bridge improvements ([#2181](https://github.com/NousResearch/hermes-agent/pull/2181))
- Matrix: correct `reply_to_message_id` parameter ([#1895](https://github.com/NousResearch/hermes-agent/pull/1895)), bare media types fix ([#1736](https://github.com/NousResearch/hermes-agent/pull/1736))
- Mattermost: MIME types for media attachments ([#2329](https://github.com/NousResearch/hermes-agent/pull/2329))
### Gateway Core
- **Auto-reconnect** failed platforms with exponential backoff ([#2584](https://github.com/NousResearch/hermes-agent/pull/2584))
- **Notify users when session auto-resets** ([#2519](https://github.com/NousResearch/hermes-agent/pull/2519))
- **Reply-to message context** for out-of-session replies ([#1662](https://github.com/NousResearch/hermes-agent/pull/1662))
- **Ignore unauthorized DMs** config option ([#1919](https://github.com/NousResearch/hermes-agent/pull/1919))
- Fix: `/reset` in thread-mode resets global session instead of thread ([#2254](https://github.com/NousResearch/hermes-agent/pull/2254))
- Fix: deliver MEDIA: files after streaming responses ([#2382](https://github.com/NousResearch/hermes-agent/pull/2382))
- Fix: cap interrupt recursion depth to prevent resource exhaustion ([#1659](https://github.com/NousResearch/hermes-agent/pull/1659))
- Fix: detect stopped processes and release stale locks on `--replace` ([#2406](https://github.com/NousResearch/hermes-agent/pull/2406), [#1908](https://github.com/NousResearch/hermes-agent/pull/1908))
- Fix: PID-based wait with force-kill for gateway restart ([#1902](https://github.com/NousResearch/hermes-agent/pull/1902))
- Fix: prevent `--replace` mode from killing the caller process ([#2185](https://github.com/NousResearch/hermes-agent/pull/2185))
- Fix: `/model` shows active fallback model instead of config default ([#1660](https://github.com/NousResearch/hermes-agent/pull/1660))
- Fix: `/title` command fails when session doesn't exist in SQLite yet ([#2379](https://github.com/NousResearch/hermes-agent/pull/2379) by @ten-jampa)
- Fix: process `/queue`'d messages after agent completion ([#2469](https://github.com/NousResearch/hermes-agent/pull/2469))
- Fix: strip orphaned `tool_results` + let `/reset` bypass running agent ([#2180](https://github.com/NousResearch/hermes-agent/pull/2180))
- Fix: prevent agents from starting gateway outside systemd management ([#2617](https://github.com/NousResearch/hermes-agent/pull/2617))
- Fix: prevent systemd restart storm on gateway connection failure ([#2327](https://github.com/NousResearch/hermes-agent/pull/2327))
- Fix: include resolved node path in systemd unit ([#1767](https://github.com/NousResearch/hermes-agent/pull/1767) by @sai-samarth)
- Fix: send error details to user in gateway outer exception handler ([#1966](https://github.com/NousResearch/hermes-agent/pull/1966))
- Fix: improve error handling for 429 usage limits and 500 context overflow ([#1839](https://github.com/NousResearch/hermes-agent/pull/1839))
- Fix: add all missing platform allowlist env vars to startup warning check ([#2628](https://github.com/NousResearch/hermes-agent/pull/2628))
- Fix: media delivery fails for file paths containing spaces ([#2621](https://github.com/NousResearch/hermes-agent/pull/2621))
- Fix: duplicate session-key collision in multi-platform gateway ([#2171](https://github.com/NousResearch/hermes-agent/pull/2171))
- Fix: Matrix and Mattermost never report as connected ([#1711](https://github.com/NousResearch/hermes-agent/pull/1711))
- Fix: PII redaction config never read — missing yaml import ([#1701](https://github.com/NousResearch/hermes-agent/pull/1701))
- Fix: NameError on skill slash commands ([#1697](https://github.com/NousResearch/hermes-agent/pull/1697))
- Fix: persist watcher metadata in checkpoint for crash recovery ([#1706](https://github.com/NousResearch/hermes-agent/pull/1706))
- Fix: pass `message_thread_id` in send_image_file, send_document, send_video ([#2339](https://github.com/NousResearch/hermes-agent/pull/2339))
- Fix: media-group aggregation on rapid successive photo messages ([#2160](https://github.com/NousResearch/hermes-agent/pull/2160))
---
## 🔧 Tool System
### MCP Enhancements
- **MCP server management CLI** + OAuth 2.1 PKCE auth ([#2465](https://github.com/NousResearch/hermes-agent/pull/2465))
- **Expose MCP servers as standalone toolsets** ([#1907](https://github.com/NousResearch/hermes-agent/pull/1907))
- **Interactive MCP tool configuration** in `hermes tools` ([#1694](https://github.com/NousResearch/hermes-agent/pull/1694))
- Fix: MCP-OAuth port mismatch, path traversal, and shared handler state ([#2552](https://github.com/NousResearch/hermes-agent/pull/2552))
- Fix: preserve MCP tool registrations across session resets ([#2124](https://github.com/NousResearch/hermes-agent/pull/2124))
- Fix: concurrent file access crash + duplicate MCP registration ([#2154](https://github.com/NousResearch/hermes-agent/pull/2154))
- Fix: normalise MCP schemas + expand session list columns ([#2102](https://github.com/NousResearch/hermes-agent/pull/2102))
- Fix: `tool_choice` `mcp_` prefix handling ([#1775](https://github.com/NousResearch/hermes-agent/pull/1775))
### Web Tool Backends
- **Tavily** as web search/extract/crawl backend ([#1731](https://github.com/NousResearch/hermes-agent/pull/1731))
- **Parallel** as alternative web search/extract backend ([#1696](https://github.com/NousResearch/hermes-agent/pull/1696))
- **Configurable web backend** — Firecrawl/BeautifulSoup/Playwright selection ([#2256](https://github.com/NousResearch/hermes-agent/pull/2256))
- Fix: whitespace-only env vars bypass web backend detection ([#2341](https://github.com/NousResearch/hermes-agent/pull/2341))
### New Tools
- **IMAP email** reading and sending ([#2173](https://github.com/NousResearch/hermes-agent/pull/2173))
- **STT (speech-to-text)** tool using Whisper API ([#2072](https://github.com/NousResearch/hermes-agent/pull/2072))
- **Route-aware pricing estimates** ([#1695](https://github.com/NousResearch/hermes-agent/pull/1695))
### Tool Improvements
- TTS: `base_url` support for OpenAI TTS provider ([#2064](https://github.com/NousResearch/hermes-agent/pull/2064) by @hanai)
- Vision: configurable timeout, tilde expansion in file paths, DM vision with multi-image and base64 fallback ([#2480](https://github.com/NousResearch/hermes-agent/pull/2480), [#2585](https://github.com/NousResearch/hermes-agent/pull/2585), [#2211](https://github.com/NousResearch/hermes-agent/pull/2211))
- Browser: race condition fix in session creation ([#1721](https://github.com/NousResearch/hermes-agent/pull/1721)), TypeError on unexpected LLM params ([#1735](https://github.com/NousResearch/hermes-agent/pull/1735))
- File tools: strip ANSI escape codes from write_file and patch content ([#2532](https://github.com/NousResearch/hermes-agent/pull/2532)), include pagination args in repeated search key ([#1824](https://github.com/NousResearch/hermes-agent/pull/1824) by @cutepawss), improve fuzzy matching accuracy + position calculation refactor ([#2096](https://github.com/NousResearch/hermes-agent/pull/2096), [#1681](https://github.com/NousResearch/hermes-agent/pull/1681))
- Code execution: resource leak and double socket close fix ([#2381](https://github.com/NousResearch/hermes-agent/pull/2381))
- Delegate: thread safety for concurrent subagent delegation ([#1672](https://github.com/NousResearch/hermes-agent/pull/1672)), preserve parent agent's tool list after delegation ([#1778](https://github.com/NousResearch/hermes-agent/pull/1778))
- Fix: make concurrent tool batching path-aware for file mutations ([#1914](https://github.com/NousResearch/hermes-agent/pull/1914))
- Fix: chunk long messages in `send_message_tool` before platform dispatch ([#1646](https://github.com/NousResearch/hermes-agent/pull/1646))
- Fix: add missing 'messaging' toolset ([#1718](https://github.com/NousResearch/hermes-agent/pull/1718))
- Fix: prevent unavailable tool names from leaking into model schemas ([#2072](https://github.com/NousResearch/hermes-agent/pull/2072))
- Fix: pass visited set by reference to prevent diamond dependency duplication ([#2311](https://github.com/NousResearch/hermes-agent/pull/2311))
- Fix: Daytona sandbox lookup migrated from `find_one` to `get/list` ([#2063](https://github.com/NousResearch/hermes-agent/pull/2063) by @rovle)
---
## 🧩 Skills Ecosystem
### Skills System Improvements
- **Agent-created skills** — Caution-level findings allowed, dangerous skills ask instead of block ([#1840](https://github.com/NousResearch/hermes-agent/pull/1840), [#2446](https://github.com/NousResearch/hermes-agent/pull/2446))
- **`--yes` flag** to bypass confirmation in `/skills install` and uninstall ([#1647](https://github.com/NousResearch/hermes-agent/pull/1647))
- **Disabled skills respected** across banner, system prompt, and slash commands ([#1897](https://github.com/NousResearch/hermes-agent/pull/1897))
- Fix: skills custom_tools import crash + sandbox file_tools integration ([#2239](https://github.com/NousResearch/hermes-agent/pull/2239))
- Fix: agent-created skills with pip requirements crash on install ([#2145](https://github.com/NousResearch/hermes-agent/pull/2145))
- Fix: race condition in `Skills.__init__` when `hub.yaml` missing ([#2242](https://github.com/NousResearch/hermes-agent/pull/2242))
- Fix: validate skill metadata before install and block duplicates ([#2241](https://github.com/NousResearch/hermes-agent/pull/2241))
- Fix: skills hub inspect/resolve — 4 bugs in inspect, redirects, discovery, tap list ([#2447](https://github.com/NousResearch/hermes-agent/pull/2447))
- Fix: agent-created skills keep working after session reset ([#2121](https://github.com/NousResearch/hermes-agent/pull/2121))
### New Skills
- **OCR-and-documents** — PDF/DOCX/XLS/PPTX/image OCR with optional GPU ([#2236](https://github.com/NousResearch/hermes-agent/pull/2236), [#2461](https://github.com/NousResearch/hermes-agent/pull/2461))
- **Huggingface-hub** bundled skill ([#1921](https://github.com/NousResearch/hermes-agent/pull/1921))
- **Sherlock OSINT** username search ([#1671](https://github.com/NousResearch/hermes-agent/pull/1671))
- **Meme-generation** — Image generator with Pillow ([#2344](https://github.com/NousResearch/hermes-agent/pull/2344))
- **Bioinformatics** gateway skill — index to 400+ bio skills ([#2387](https://github.com/NousResearch/hermes-agent/pull/2387))
- **Inference.sh** skill (terminal-based) ([#1686](https://github.com/NousResearch/hermes-agent/pull/1686))
- **Base blockchain** optional skill ([#1643](https://github.com/NousResearch/hermes-agent/pull/1643))
- **3D-model-viewer** optional skill ([#2226](https://github.com/NousResearch/hermes-agent/pull/2226))
- **FastMCP** optional skill ([#2113](https://github.com/NousResearch/hermes-agent/pull/2113))
- **Hermes-agent-setup** skill ([#1905](https://github.com/NousResearch/hermes-agent/pull/1905))
---
## 🔌 Plugin System Enhancements
- **TUI extension hooks** — Build custom CLIs on top of Hermes ([#2333](https://github.com/NousResearch/hermes-agent/pull/2333))
- **`hermes plugins install/remove/list`** commands ([#2337](https://github.com/NousResearch/hermes-agent/pull/2337))
- **Slash command registration** for plugins ([#2359](https://github.com/NousResearch/hermes-agent/pull/2359))
- **`session:end` lifecycle event** hook ([#1725](https://github.com/NousResearch/hermes-agent/pull/1725))
- Fix: require opt-in for project plugin discovery ([#2215](https://github.com/NousResearch/hermes-agent/pull/2215))
---
## 🔒 Security & Reliability
### Security
- **SSRF protection** for vision_tools and web_tools ([#2679](https://github.com/NousResearch/hermes-agent/pull/2679))
- **Shell injection prevention** in `_expand_path` via `~user` path suffix ([#2685](https://github.com/NousResearch/hermes-agent/pull/2685))
- **Block untrusted browser-origin** API server access ([#2451](https://github.com/NousResearch/hermes-agent/pull/2451))
- **Block sandbox backend creds** from subprocess env ([#1658](https://github.com/NousResearch/hermes-agent/pull/1658))
- **Block @ references** from reading secrets outside workspace ([#2601](https://github.com/NousResearch/hermes-agent/pull/2601) by @Gutslabs)
- **Malicious code pattern pre-exec scanner** for terminal_tool ([#2245](https://github.com/NousResearch/hermes-agent/pull/2245))
- **Harden terminal safety** and sandbox file writes ([#1653](https://github.com/NousResearch/hermes-agent/pull/1653))
- **PKCE verifier leak** fix + OAuth refresh Content-Type ([#1775](https://github.com/NousResearch/hermes-agent/pull/1775))
- **Eliminate SQL string formatting** in `execute()` calls ([#2061](https://github.com/NousResearch/hermes-agent/pull/2061) by @dusterbloom)
- **Harden jobs API** — input limits, field whitelist, startup check ([#2456](https://github.com/NousResearch/hermes-agent/pull/2456))
### Reliability
- Thread locks on 4 SessionDB methods ([#1704](https://github.com/NousResearch/hermes-agent/pull/1704))
- File locking for concurrent memory writes ([#1726](https://github.com/NousResearch/hermes-agent/pull/1726))
- Handle OpenRouter errors gracefully ([#2112](https://github.com/NousResearch/hermes-agent/pull/2112))
- Guard print() calls against OSError ([#1668](https://github.com/NousResearch/hermes-agent/pull/1668))
- Safely handle non-string inputs in redacting formatter ([#2392](https://github.com/NousResearch/hermes-agent/pull/2392), [#1700](https://github.com/NousResearch/hermes-agent/pull/1700))
- ACP: preserve session provider on model switch, persist sessions to disk ([#2380](https://github.com/NousResearch/hermes-agent/pull/2380), [#2071](https://github.com/NousResearch/hermes-agent/pull/2071))
- API server: persist ResponseStore to SQLite across restarts ([#2472](https://github.com/NousResearch/hermes-agent/pull/2472))
- Fix: `fetch_nous_models` always TypeError from positional args ([#1699](https://github.com/NousResearch/hermes-agent/pull/1699))
- Fix: resolve merge conflict markers in cli.py breaking startup ([#2347](https://github.com/NousResearch/hermes-agent/pull/2347))
- Fix: `minisweagent_path.py` missing from wheel ([#2098](https://github.com/NousResearch/hermes-agent/pull/2098) by @JiwaniZakir)
### Cron System
- **`[SILENT]` response** — cron agents can suppress delivery ([#1833](https://github.com/NousResearch/hermes-agent/pull/1833))
- **Scale missed-job grace window** with schedule frequency ([#2449](https://github.com/NousResearch/hermes-agent/pull/2449))
- **Recover recent one-shot jobs** ([#1918](https://github.com/NousResearch/hermes-agent/pull/1918))
- Fix: normalize `repeat<=0` to None — jobs deleted after first run when LLM passes -1 ([#2612](https://github.com/NousResearch/hermes-agent/pull/2612) by @Mibayy)
- Fix: Matrix added to scheduler delivery platform_map ([#2167](https://github.com/NousResearch/hermes-agent/pull/2167) by @buntingszn)
- Fix: naive ISO timestamps without timezone — jobs fire at wrong time ([#1729](https://github.com/NousResearch/hermes-agent/pull/1729))
- Fix: `get_due_jobs` reads `jobs.json` twice — race condition ([#1716](https://github.com/NousResearch/hermes-agent/pull/1716))
- Fix: silent jobs return empty response for delivery skip ([#2442](https://github.com/NousResearch/hermes-agent/pull/2442))
- Fix: stop injecting cron outputs into gateway session history ([#2313](https://github.com/NousResearch/hermes-agent/pull/2313))
- Fix: close abandoned coroutine when `asyncio.run()` raises RuntimeError ([#2317](https://github.com/NousResearch/hermes-agent/pull/2317))
---
## 🧪 Testing
- Resolve all consistently failing tests ([#2488](https://github.com/NousResearch/hermes-agent/pull/2488))
- Replace `FakePath` with `monkeypatch` for Python 3.12 compat ([#2444](https://github.com/NousResearch/hermes-agent/pull/2444))
- Align Hermes setup and full-suite expectations ([#1710](https://github.com/NousResearch/hermes-agent/pull/1710))
---
## 📚 Documentation
- Comprehensive docs update for recent features ([#1693](https://github.com/NousResearch/hermes-agent/pull/1693), [#2183](https://github.com/NousResearch/hermes-agent/pull/2183))
- Alibaba Cloud and DingTalk setup guides ([#1687](https://github.com/NousResearch/hermes-agent/pull/1687), [#1692](https://github.com/NousResearch/hermes-agent/pull/1692))
- Detailed skills documentation ([#2244](https://github.com/NousResearch/hermes-agent/pull/2244))
- Honcho self-hosted / Docker configuration ([#2475](https://github.com/NousResearch/hermes-agent/pull/2475))
- Context length detection FAQ and quickstart references ([#2179](https://github.com/NousResearch/hermes-agent/pull/2179))
- Fix docs inconsistencies across reference and user guides ([#1995](https://github.com/NousResearch/hermes-agent/pull/1995))
- Fix MCP install commands — use uv, not bare pip ([#1909](https://github.com/NousResearch/hermes-agent/pull/1909))
- Replace ASCII diagrams with Mermaid/lists ([#2402](https://github.com/NousResearch/hermes-agent/pull/2402))
- Gemini OAuth provider implementation plan ([#2467](https://github.com/NousResearch/hermes-agent/pull/2467))
- Discord Server Members Intent marked as required ([#2330](https://github.com/NousResearch/hermes-agent/pull/2330))
- Fix MDX build error in api-server.md ([#1787](https://github.com/NousResearch/hermes-agent/pull/1787))
- Align venv path to match installer ([#2114](https://github.com/NousResearch/hermes-agent/pull/2114))
- New skills added to hub index ([#2281](https://github.com/NousResearch/hermes-agent/pull/2281))
---
## 👥 Contributors
### Core
- **@teknium1** (Teknium) — 280 PRs
### Community Contributors
- **@mchzimm** (to_the_max) — GitHub Copilot provider integration ([#1879](https://github.com/NousResearch/hermes-agent/pull/1879))
- **@jquesnelle** (Jeffrey Quesnelle) — Per-thread persistent event loops fix ([#2214](https://github.com/NousResearch/hermes-agent/pull/2214))
- **@llbn** (lbn) — Telegram MarkdownV2 strikethrough, spoiler, blockquotes, and escape fixes ([#2199](https://github.com/NousResearch/hermes-agent/pull/2199), [#2200](https://github.com/NousResearch/hermes-agent/pull/2200))
- **@dusterbloom** — SQL injection prevention + local server context window querying ([#2061](https://github.com/NousResearch/hermes-agent/pull/2061), [#2091](https://github.com/NousResearch/hermes-agent/pull/2091))
- **@0xbyt4** — Anthropic tool_calls None guard + OpenCode-Go provider config fix ([#2209](https://github.com/NousResearch/hermes-agent/pull/2209), [#2393](https://github.com/NousResearch/hermes-agent/pull/2393))
- **@sai-samarth** (Saisamarth) — WhatsApp send_message routing + systemd node path ([#1769](https://github.com/NousResearch/hermes-agent/pull/1769), [#1767](https://github.com/NousResearch/hermes-agent/pull/1767))
- **@Gutslabs** (Guts) — Block @ references from reading secrets ([#2601](https://github.com/NousResearch/hermes-agent/pull/2601))
- **@Mibayy** (Mibay) — Cron job repeat normalization ([#2612](https://github.com/NousResearch/hermes-agent/pull/2612))
- **@ten-jampa** (Tenzin Jampa) — Gateway /title command fix ([#2379](https://github.com/NousResearch/hermes-agent/pull/2379))
- **@cutepawss** (lila) — File tools search pagination fix ([#1824](https://github.com/NousResearch/hermes-agent/pull/1824))
- **@hanai** (Hanai) — OpenAI TTS base_url support ([#2064](https://github.com/NousResearch/hermes-agent/pull/2064))
- **@rovle** (Lovre Pešut) — Daytona sandbox API migration ([#2063](https://github.com/NousResearch/hermes-agent/pull/2063))
- **@buntingszn** (bunting szn) — Matrix cron delivery support ([#2167](https://github.com/NousResearch/hermes-agent/pull/2167))
- **@InB4DevOps** — Token counter reset on new session ([#2101](https://github.com/NousResearch/hermes-agent/pull/2101))
- **@JiwaniZakir** (Zakir Jiwani) — Missing file in wheel fix ([#2098](https://github.com/NousResearch/hermes-agent/pull/2098))
- **@ygd58** (buray) — Delegate tool parent tool names fix ([#2083](https://github.com/NousResearch/hermes-agent/pull/2083))
---
**Full Changelog**: [v2026.3.17...v2026.3.23](https://github.com/NousResearch/hermes-agent/compare/v2026.3.17...v2026.3.23)

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# Hermes Agent v0.5.0 (v2026.3.28)
**Release Date:** March 28, 2026
> The hardening release — Hugging Face provider, /model command overhaul, Telegram Private Chat Topics, native Modal SDK, plugin lifecycle hooks, tool-use enforcement for GPT models, Nix flake, 50+ security and reliability fixes, and a comprehensive supply chain audit.
---
## ✨ Highlights
- **Nous Portal now supports 400+ models** — The Nous Research inference portal has expanded dramatically, giving Hermes Agent users access to over 400 models through a single provider endpoint
- **Hugging Face as a first-class inference provider** — Full integration with HF Inference API including curated agentic model picker that maps to OpenRouter analogues, live `/models` endpoint probe, and setup wizard flow ([#3419](https://github.com/NousResearch/hermes-agent/pull/3419), [#3440](https://github.com/NousResearch/hermes-agent/pull/3440))
- **Telegram Private Chat Topics** — Project-based conversations with functional skill binding per topic, enabling isolated workflows within a single Telegram chat ([#3163](https://github.com/NousResearch/hermes-agent/pull/3163))
- **Native Modal SDK backend** — Replaced swe-rex dependency with native Modal SDK (`Sandbox.create.aio` + `exec.aio`), eliminating tunnels and simplifying the Modal terminal backend ([#3538](https://github.com/NousResearch/hermes-agent/pull/3538))
- **Plugin lifecycle hooks activated** — `pre_llm_call`, `post_llm_call`, `on_session_start`, and `on_session_end` hooks now fire in the agent loop and CLI/gateway, completing the plugin hook system ([#3542](https://github.com/NousResearch/hermes-agent/pull/3542))
- **Improved OpenAI Model Reliability** — Added `GPT_TOOL_USE_GUIDANCE` to prevent GPT models from describing intended actions instead of making tool calls, plus automatic stripping of stale budget warnings from conversation history that caused models to avoid tools across turns ([#3528](https://github.com/NousResearch/hermes-agent/pull/3528))
- **Nix flake** — Full uv2nix build, NixOS module with persistent container mode, auto-generated config keys from Python source, and suffix PATHs for agent-friendliness ([#20](https://github.com/NousResearch/hermes-agent/pull/20), [#3274](https://github.com/NousResearch/hermes-agent/pull/3274), [#3061](https://github.com/NousResearch/hermes-agent/pull/3061)) by @alt-glitch
- **Supply chain hardening** — Removed compromised `litellm` dependency, pinned all dependency version ranges, regenerated `uv.lock` with hashes, added CI workflow scanning PRs for supply chain attack patterns, and bumped deps to fix CVEs ([#2796](https://github.com/NousResearch/hermes-agent/pull/2796), [#2810](https://github.com/NousResearch/hermes-agent/pull/2810), [#2812](https://github.com/NousResearch/hermes-agent/pull/2812), [#2816](https://github.com/NousResearch/hermes-agent/pull/2816), [#3073](https://github.com/NousResearch/hermes-agent/pull/3073))
- **Anthropic output limits fix** — Replaced hardcoded 16K `max_tokens` with per-model native output limits (128K for Opus 4.6, 64K for Sonnet 4.6), fixing "Response truncated" and thinking-budget exhaustion on direct Anthropic API ([#3426](https://github.com/NousResearch/hermes-agent/pull/3426), [#3444](https://github.com/NousResearch/hermes-agent/pull/3444))
---
## 🏗️ Core Agent & Architecture
### New Provider: Hugging Face
- First-class Hugging Face Inference API integration with auth, setup wizard, and model picker ([#3419](https://github.com/NousResearch/hermes-agent/pull/3419))
- Curated model list mapping OpenRouter agentic defaults to HF equivalents — providers with 8+ curated models skip live `/models` probe for speed ([#3440](https://github.com/NousResearch/hermes-agent/pull/3440))
- Added glm-5-turbo to Z.AI provider model list ([#3095](https://github.com/NousResearch/hermes-agent/pull/3095))
### Provider & Model Improvements
- `/model` command overhaul — extracted shared `switch_model()` pipeline for CLI and gateway, custom endpoint support, provider-aware routing ([#2795](https://github.com/NousResearch/hermes-agent/pull/2795), [#2799](https://github.com/NousResearch/hermes-agent/pull/2799))
- Removed `/model` slash command from CLI and gateway in favor of `hermes model` subcommand ([#3080](https://github.com/NousResearch/hermes-agent/pull/3080))
- Preserve `custom` provider instead of silently remapping to `openrouter` ([#2792](https://github.com/NousResearch/hermes-agent/pull/2792))
- Read root-level `provider` and `base_url` from config.yaml into model config ([#3112](https://github.com/NousResearch/hermes-agent/pull/3112))
- Align Nous Portal model slugs with OpenRouter naming ([#3253](https://github.com/NousResearch/hermes-agent/pull/3253))
- Fix Alibaba provider default endpoint and model list ([#3484](https://github.com/NousResearch/hermes-agent/pull/3484))
- Allow MiniMax users to override `/v1``/anthropic` auto-correction ([#3553](https://github.com/NousResearch/hermes-agent/pull/3553))
- Migrate OAuth token refresh to `platform.claude.com` with fallback ([#3246](https://github.com/NousResearch/hermes-agent/pull/3246))
### Agent Loop & Conversation
- **Improved OpenAI model reliability** — `GPT_TOOL_USE_GUIDANCE` prevents GPT models from describing actions instead of calling tools + automatic budget warning stripping from history ([#3528](https://github.com/NousResearch/hermes-agent/pull/3528))
- **Surface lifecycle events** — All retry, fallback, and compression events now surface to the user as formatted messages ([#3153](https://github.com/NousResearch/hermes-agent/pull/3153))
- **Anthropic output limits** — Per-model native output limits instead of hardcoded 16K `max_tokens` ([#3426](https://github.com/NousResearch/hermes-agent/pull/3426))
- **Thinking-budget exhaustion detection** — Skip useless continuation retries when model uses all output tokens on reasoning ([#3444](https://github.com/NousResearch/hermes-agent/pull/3444))
- Always prefer streaming for API calls to prevent hung subagents ([#3120](https://github.com/NousResearch/hermes-agent/pull/3120))
- Restore safe non-streaming fallback after stream failures ([#3020](https://github.com/NousResearch/hermes-agent/pull/3020))
- Give subagents independent iteration budgets ([#3004](https://github.com/NousResearch/hermes-agent/pull/3004))
- Update `api_key` in `_try_activate_fallback` for subagent auth ([#3103](https://github.com/NousResearch/hermes-agent/pull/3103))
- Graceful return on max retries instead of crashing thread ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Count compression restarts toward retry limit ([#3070](https://github.com/NousResearch/hermes-agent/pull/3070))
- Include tool tokens in preflight estimate, guard context probe persistence ([#3164](https://github.com/NousResearch/hermes-agent/pull/3164))
- Update context compressor limits after fallback activation ([#3305](https://github.com/NousResearch/hermes-agent/pull/3305))
- Validate empty user messages to prevent Anthropic API 400 errors ([#3322](https://github.com/NousResearch/hermes-agent/pull/3322))
- GLM reasoning-only and max-length handling ([#3010](https://github.com/NousResearch/hermes-agent/pull/3010))
- Increase API timeout default from 900s to 1800s for slow-thinking models ([#3431](https://github.com/NousResearch/hermes-agent/pull/3431))
- Send `max_tokens` for Claude/OpenRouter + retry SSE connection errors ([#3497](https://github.com/NousResearch/hermes-agent/pull/3497))
- Prevent AsyncOpenAI/httpx cross-loop deadlock in gateway mode ([#2701](https://github.com/NousResearch/hermes-agent/pull/2701)) by @ctlst
### Streaming & Reasoning
- **Persist reasoning across gateway session turns** with new schema v6 columns (`reasoning`, `reasoning_details`, `codex_reasoning_items`) ([#2974](https://github.com/NousResearch/hermes-agent/pull/2974))
- Detect and kill stale SSE connections ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Fix stale stream detector race causing spurious `RemoteProtocolError` ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Skip duplicate callback for `<think>`-extracted reasoning during streaming ([#3116](https://github.com/NousResearch/hermes-agent/pull/3116))
- Preserve reasoning fields in `rewrite_transcript` ([#3311](https://github.com/NousResearch/hermes-agent/pull/3311))
- Preserve Gemini thought signatures in streamed tool calls ([#2997](https://github.com/NousResearch/hermes-agent/pull/2997))
- Ensure first delta is fired during reasoning updates ([untagged commit](https://github.com/NousResearch/hermes-agent))
### Session & Memory
- **Session search recent sessions mode** — Omit query to browse recent sessions with titles, previews, and timestamps ([#2533](https://github.com/NousResearch/hermes-agent/pull/2533))
- **Session config surfacing** on `/new`, `/reset`, and auto-reset ([#3321](https://github.com/NousResearch/hermes-agent/pull/3321))
- **Third-party session isolation** — `--source` flag for isolating sessions by origin ([#3255](https://github.com/NousResearch/hermes-agent/pull/3255))
- Add `/resume` CLI handler, session log truncation guard, `reopen_session` API ([#3315](https://github.com/NousResearch/hermes-agent/pull/3315))
- Clear compressor summary and turn counter on `/clear` and `/new` ([#3102](https://github.com/NousResearch/hermes-agent/pull/3102))
- Surface silent SessionDB failures that cause session data loss ([#2999](https://github.com/NousResearch/hermes-agent/pull/2999))
- Session search fallback preview on summarization failure ([#3478](https://github.com/NousResearch/hermes-agent/pull/3478))
- Prevent stale memory overwrites by flush agent ([#2687](https://github.com/NousResearch/hermes-agent/pull/2687))
### Context Compression
- Replace dead `summary_target_tokens` with ratio-based scaling ([#2554](https://github.com/NousResearch/hermes-agent/pull/2554))
- Expose `compression.target_ratio`, `protect_last_n`, and `threshold` in `DEFAULT_CONFIG` ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Restore sane defaults and cap summary at 12K tokens ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Preserve transcript on `/compress` and hygiene compression ([#3556](https://github.com/NousResearch/hermes-agent/pull/3556))
- Update context pressure warnings and token estimates after compaction ([untagged commit](https://github.com/NousResearch/hermes-agent))
### Architecture & Dependencies
- **Remove mini-swe-agent dependency** — Inline Docker and Modal backends directly ([#2804](https://github.com/NousResearch/hermes-agent/pull/2804))
- **Replace swe-rex with native Modal SDK** for Modal backend ([#3538](https://github.com/NousResearch/hermes-agent/pull/3538))
- **Plugin lifecycle hooks** — `pre_llm_call`, `post_llm_call`, `on_session_start`, `on_session_end` now fire in the agent loop ([#3542](https://github.com/NousResearch/hermes-agent/pull/3542))
- Fix plugin toolsets invisible in `hermes tools` and standalone processes ([#3457](https://github.com/NousResearch/hermes-agent/pull/3457))
- Consolidate `get_hermes_home()` and `parse_reasoning_effort()` ([#3062](https://github.com/NousResearch/hermes-agent/pull/3062))
- Remove unused Hermes-native PKCE OAuth flow ([#3107](https://github.com/NousResearch/hermes-agent/pull/3107))
- Remove ~100 unused imports across 55 files ([#3016](https://github.com/NousResearch/hermes-agent/pull/3016))
- Fix 154 f-strings, simplify getattr/URL patterns, remove dead code ([#3119](https://github.com/NousResearch/hermes-agent/pull/3119))
---
## 📱 Messaging Platforms (Gateway)
### Telegram
- **Private Chat Topics** — Project-based conversations with functional skill binding per topic, enabling isolated workflows within a single Telegram chat ([#3163](https://github.com/NousResearch/hermes-agent/pull/3163))
- **Auto-discover fallback IPs via DNS-over-HTTPS** when `api.telegram.org` is unreachable ([#3376](https://github.com/NousResearch/hermes-agent/pull/3376))
- **Configurable reply threading mode** ([#2907](https://github.com/NousResearch/hermes-agent/pull/2907))
- Fall back to no `thread_id` on "Message thread not found" BadRequest ([#3390](https://github.com/NousResearch/hermes-agent/pull/3390))
- Self-reschedule reconnect when `start_polling` fails after 502 ([#3268](https://github.com/NousResearch/hermes-agent/pull/3268))
### Discord
- Stop phantom typing indicator after agent turn completes ([#3003](https://github.com/NousResearch/hermes-agent/pull/3003))
### Slack
- Send tool call progress messages to correct Slack thread ([#3063](https://github.com/NousResearch/hermes-agent/pull/3063))
- Scope progress thread fallback to Slack only ([#3488](https://github.com/NousResearch/hermes-agent/pull/3488))
### WhatsApp
- Download documents, audio, and video media from messages ([#2978](https://github.com/NousResearch/hermes-agent/pull/2978))
### Matrix
- Add missing Matrix entry in `PLATFORMS` dict ([#3473](https://github.com/NousResearch/hermes-agent/pull/3473))
- Harden e2ee access-token handling ([#3562](https://github.com/NousResearch/hermes-agent/pull/3562))
- Add backoff for `SyncError` in sync loop ([#3280](https://github.com/NousResearch/hermes-agent/pull/3280))
### Signal
- Track SSE keepalive comments as connection activity ([#3316](https://github.com/NousResearch/hermes-agent/pull/3316))
### Email
- Prevent unbounded growth of `_seen_uids` in EmailAdapter ([#3490](https://github.com/NousResearch/hermes-agent/pull/3490))
### Gateway Core
- **Config-gated `/verbose` command** for messaging platforms — toggle tool output verbosity from chat ([#3262](https://github.com/NousResearch/hermes-agent/pull/3262))
- **Background review notifications** delivered to user chat ([#3293](https://github.com/NousResearch/hermes-agent/pull/3293))
- **Retry transient send failures** and notify user on exhaustion ([#3288](https://github.com/NousResearch/hermes-agent/pull/3288))
- Recover from hung agents — `/stop` hard-kills session lock ([#3104](https://github.com/NousResearch/hermes-agent/pull/3104))
- Thread-safe `SessionStore` — protect `_entries` with `threading.Lock` ([#3052](https://github.com/NousResearch/hermes-agent/pull/3052))
- Fix gateway token double-counting with cached agents — use absolute set instead of increment ([#3306](https://github.com/NousResearch/hermes-agent/pull/3306), [#3317](https://github.com/NousResearch/hermes-agent/pull/3317))
- Fingerprint full auth token in agent cache signature ([#3247](https://github.com/NousResearch/hermes-agent/pull/3247))
- Silence background agent terminal output ([#3297](https://github.com/NousResearch/hermes-agent/pull/3297))
- Include per-platform `ALLOW_ALL` and `SIGNAL_GROUP` in startup allowlist check ([#3313](https://github.com/NousResearch/hermes-agent/pull/3313))
- Include user-local bin paths in systemd unit PATH ([#3527](https://github.com/NousResearch/hermes-agent/pull/3527))
- Track background task references in `GatewayRunner` ([#3254](https://github.com/NousResearch/hermes-agent/pull/3254))
- Add request timeouts to HA, Email, Mattermost, SMS adapters ([#3258](https://github.com/NousResearch/hermes-agent/pull/3258))
- Add media download retry to Mattermost, Slack, and base cache ([#3323](https://github.com/NousResearch/hermes-agent/pull/3323))
- Detect virtualenv path instead of hardcoding `venv/` ([#2797](https://github.com/NousResearch/hermes-agent/pull/2797))
- Use `TERMINAL_CWD` for context file discovery, not process cwd ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Stop loading hermes repo AGENTS.md into gateway sessions (~10k wasted tokens) ([#2891](https://github.com/NousResearch/hermes-agent/pull/2891))
---
## 🖥️ CLI & User Experience
### Interactive CLI
- **Configurable busy input mode** + fix `/queue` always working ([#3298](https://github.com/NousResearch/hermes-agent/pull/3298))
- **Preserve user input on multiline paste** ([#3065](https://github.com/NousResearch/hermes-agent/pull/3065))
- **Tool generation callback** — streaming "preparing terminal…" updates during tool argument generation ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Show tool progress for substantive tools, not just "preparing" ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Buffer reasoning preview chunks and fix duplicate display ([#3013](https://github.com/NousResearch/hermes-agent/pull/3013))
- Prevent reasoning box from rendering 3x during tool-calling loops ([#3405](https://github.com/NousResearch/hermes-agent/pull/3405))
- Eliminate "Event loop is closed" / "Press ENTER to continue" during idle — three-layer fix with `neuter_async_httpx_del()`, custom exception handler, and stale client cleanup ([#3398](https://github.com/NousResearch/hermes-agent/pull/3398))
- Fix status bar shows 26K instead of 260K for token counts with trailing zeros ([#3024](https://github.com/NousResearch/hermes-agent/pull/3024))
- Fix status bar duplicates and degrades during long sessions ([#3291](https://github.com/NousResearch/hermes-agent/pull/3291))
- Refresh TUI before background task output to prevent status bar overlap ([#3048](https://github.com/NousResearch/hermes-agent/pull/3048))
- Suppress KawaiiSpinner animation under `patch_stdout` ([#2994](https://github.com/NousResearch/hermes-agent/pull/2994))
- Skip KawaiiSpinner when TUI handles tool progress ([#2973](https://github.com/NousResearch/hermes-agent/pull/2973))
- Guard `isatty()` against closed streams via `_is_tty` property ([#3056](https://github.com/NousResearch/hermes-agent/pull/3056))
- Ensure single closure of streaming boxes during tool generation ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Cap context pressure percentage at 100% in display ([#3480](https://github.com/NousResearch/hermes-agent/pull/3480))
- Clean up HTML error messages in CLI display ([#3069](https://github.com/NousResearch/hermes-agent/pull/3069))
- Show HTTP status code and 400 body in API error output ([#3096](https://github.com/NousResearch/hermes-agent/pull/3096))
- Extract useful info from HTML error pages, dump debug on max retries ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Prevent TypeError on startup when `base_url` is None ([#3068](https://github.com/NousResearch/hermes-agent/pull/3068))
- Prevent update crash in non-TTY environments ([#3094](https://github.com/NousResearch/hermes-agent/pull/3094))
- Handle EOFError in sessions delete/prune confirmation prompts ([#3101](https://github.com/NousResearch/hermes-agent/pull/3101))
- Catch KeyboardInterrupt during `flush_memories` on exit and in exit cleanup handlers ([#3025](https://github.com/NousResearch/hermes-agent/pull/3025), [#3257](https://github.com/NousResearch/hermes-agent/pull/3257))
- Guard `.strip()` against None values from YAML config ([#3552](https://github.com/NousResearch/hermes-agent/pull/3552))
- Guard `config.get()` against YAML null values to prevent AttributeError ([#3377](https://github.com/NousResearch/hermes-agent/pull/3377))
- Store asyncio task references to prevent GC mid-execution ([#3267](https://github.com/NousResearch/hermes-agent/pull/3267))
### Setup & Configuration
- Use explicit key mapping for returning-user menu dispatch instead of positional index ([#3083](https://github.com/NousResearch/hermes-agent/pull/3083))
- Use `sys.executable` for pip in update commands to fix PEP 668 ([#3099](https://github.com/NousResearch/hermes-agent/pull/3099))
- Harden `hermes update` against diverged history, non-main branches, and gateway edge cases ([#3492](https://github.com/NousResearch/hermes-agent/pull/3492))
- OpenClaw migration overwrites defaults and setup wizard skips imported sections — fixed ([#3282](https://github.com/NousResearch/hermes-agent/pull/3282))
- Stop recursive AGENTS.md walk, load top-level only ([#3110](https://github.com/NousResearch/hermes-agent/pull/3110))
- Add macOS Homebrew paths to browser and terminal PATH resolution ([#2713](https://github.com/NousResearch/hermes-agent/pull/2713))
- YAML boolean handling for `tool_progress` config ([#3300](https://github.com/NousResearch/hermes-agent/pull/3300))
- Reset default SOUL.md to baseline identity text ([#3159](https://github.com/NousResearch/hermes-agent/pull/3159))
- Reject relative cwd paths for container terminal backends ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Add explicit `hermes-api-server` toolset for API server platform ([#3304](https://github.com/NousResearch/hermes-agent/pull/3304))
- Reorder setup wizard providers — OpenRouter first ([untagged commit](https://github.com/NousResearch/hermes-agent))
---
## 🔧 Tool System
### API Server
- **Idempotency-Key support**, body size limit, and OpenAI error envelope ([#2903](https://github.com/NousResearch/hermes-agent/pull/2903))
- Allow Idempotency-Key in CORS headers ([#3530](https://github.com/NousResearch/hermes-agent/pull/3530))
- Cancel orphaned agent + true interrupt on SSE disconnect ([#3427](https://github.com/NousResearch/hermes-agent/pull/3427))
- Fix streaming breaks when agent makes tool calls ([#2985](https://github.com/NousResearch/hermes-agent/pull/2985))
### Terminal & File Operations
- Handle addition-only hunks in V4A patch parser ([#3325](https://github.com/NousResearch/hermes-agent/pull/3325))
- Exponential backoff for persistent shell polling ([#2996](https://github.com/NousResearch/hermes-agent/pull/2996))
- Add timeout to subprocess calls in `context_references` ([#3469](https://github.com/NousResearch/hermes-agent/pull/3469))
### Browser & Vision
- Handle 402 insufficient credits error in vision tool ([#2802](https://github.com/NousResearch/hermes-agent/pull/2802))
- Fix `browser_vision` ignores `auxiliary.vision.timeout` config ([#2901](https://github.com/NousResearch/hermes-agent/pull/2901))
- Make browser command timeout configurable via config.yaml ([#2801](https://github.com/NousResearch/hermes-agent/pull/2801))
### MCP
- MCP toolset resolution for runtime and config ([#3252](https://github.com/NousResearch/hermes-agent/pull/3252))
- Add MCP tool name collision protection ([#3077](https://github.com/NousResearch/hermes-agent/pull/3077))
### Auxiliary LLM
- Guard aux LLM calls against None content + reasoning fallback + retry ([#3449](https://github.com/NousResearch/hermes-agent/pull/3449))
- Catch ImportError from `build_anthropic_client` in vision auto-detection ([#3312](https://github.com/NousResearch/hermes-agent/pull/3312))
### Other Tools
- Add request timeouts to `send_message_tool` HTTP calls ([#3162](https://github.com/NousResearch/hermes-agent/pull/3162)) by @memosr
- Auto-repair `jobs.json` with invalid control characters ([#3537](https://github.com/NousResearch/hermes-agent/pull/3537))
- Enable fine-grained tool streaming for Claude/OpenRouter ([#3497](https://github.com/NousResearch/hermes-agent/pull/3497))
---
## 🧩 Skills Ecosystem
### Skills System
- **Env var passthrough** for skills and user config — skills can declare environment variables to pass through ([#2807](https://github.com/NousResearch/hermes-agent/pull/2807))
- Cache skills prompt with shared `skill_utils` module for faster TTFT ([#3421](https://github.com/NousResearch/hermes-agent/pull/3421))
- Avoid redundant file re-read for skill conditions ([#2992](https://github.com/NousResearch/hermes-agent/pull/2992))
- Use Git Trees API to prevent silent subdirectory loss during install ([#2995](https://github.com/NousResearch/hermes-agent/pull/2995))
- Fix skills-sh install for deeply nested repo structures ([#2980](https://github.com/NousResearch/hermes-agent/pull/2980))
- Handle null metadata in skill frontmatter ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Preserve trust for skills-sh identifiers + reduce resolution churn ([#3251](https://github.com/NousResearch/hermes-agent/pull/3251))
- Agent-created skills were incorrectly treated as untrusted community content — fixed ([untagged commit](https://github.com/NousResearch/hermes-agent))
### New Skills
- **G0DM0D3 godmode jailbreaking skill** + docs ([#3157](https://github.com/NousResearch/hermes-agent/pull/3157))
- **Docker management skill** added to optional-skills ([#3060](https://github.com/NousResearch/hermes-agent/pull/3060))
- **OpenClaw migration v2** — 17 new modules, terminal recap for migrating from OpenClaw to Hermes ([#2906](https://github.com/NousResearch/hermes-agent/pull/2906))
---
## 🔒 Security & Reliability
### Security Hardening
- **SSRF protection** added to `browser_navigate` ([#3058](https://github.com/NousResearch/hermes-agent/pull/3058))
- **SSRF protection** added to `vision_tools` and `web_tools` (hardened) ([#2679](https://github.com/NousResearch/hermes-agent/pull/2679))
- **Restrict subagent toolsets** to parent's enabled set ([#3269](https://github.com/NousResearch/hermes-agent/pull/3269))
- **Prevent zip-slip path traversal** in self-update ([#3250](https://github.com/NousResearch/hermes-agent/pull/3250))
- **Prevent shell injection** in `_expand_path` via `~user` path suffix ([#2685](https://github.com/NousResearch/hermes-agent/pull/2685))
- **Normalize input** before dangerous command detection ([#3260](https://github.com/NousResearch/hermes-agent/pull/3260))
- Make tirith block verdicts approvable instead of hard-blocking ([#3428](https://github.com/NousResearch/hermes-agent/pull/3428))
- Remove compromised `litellm`/`typer`/`platformdirs` from deps ([#2796](https://github.com/NousResearch/hermes-agent/pull/2796))
- Pin all dependency version ranges ([#2810](https://github.com/NousResearch/hermes-agent/pull/2810))
- Regenerate `uv.lock` with hashes, use lockfile in setup ([#2812](https://github.com/NousResearch/hermes-agent/pull/2812))
- Bump dependencies to fix CVEs + regenerate `uv.lock` ([#3073](https://github.com/NousResearch/hermes-agent/pull/3073))
- Supply chain audit CI workflow for PR scanning ([#2816](https://github.com/NousResearch/hermes-agent/pull/2816))
### Reliability
- **SQLite WAL write-lock contention** causing 15-20s TUI freeze — fixed ([#3385](https://github.com/NousResearch/hermes-agent/pull/3385))
- **SQLite concurrency hardening** + session transcript integrity ([#3249](https://github.com/NousResearch/hermes-agent/pull/3249))
- Prevent recurring cron job re-fire on gateway crash/restart loop ([#3396](https://github.com/NousResearch/hermes-agent/pull/3396))
- Mark cron session as ended after job completes ([#2998](https://github.com/NousResearch/hermes-agent/pull/2998))
---
## ⚡ Performance
- **TTFT startup optimizations** — salvaged easy-win startup improvements ([#3395](https://github.com/NousResearch/hermes-agent/pull/3395))
- Cache skills prompt with shared `skill_utils` module ([#3421](https://github.com/NousResearch/hermes-agent/pull/3421))
- Avoid redundant file re-read for skill conditions in prompt builder ([#2992](https://github.com/NousResearch/hermes-agent/pull/2992))
---
## 🐛 Notable Bug Fixes
- Fix gateway token double-counting with cached agents ([#3306](https://github.com/NousResearch/hermes-agent/pull/3306), [#3317](https://github.com/NousResearch/hermes-agent/pull/3317))
- Fix "Event loop is closed" / "Press ENTER to continue" during idle sessions ([#3398](https://github.com/NousResearch/hermes-agent/pull/3398))
- Fix reasoning box rendering 3x during tool-calling loops ([#3405](https://github.com/NousResearch/hermes-agent/pull/3405))
- Fix status bar shows 26K instead of 260K for token counts ([#3024](https://github.com/NousResearch/hermes-agent/pull/3024))
- Fix `/queue` always working regardless of config ([#3298](https://github.com/NousResearch/hermes-agent/pull/3298))
- Fix phantom Discord typing indicator after agent turn ([#3003](https://github.com/NousResearch/hermes-agent/pull/3003))
- Fix Slack progress messages appearing in wrong thread ([#3063](https://github.com/NousResearch/hermes-agent/pull/3063))
- Fix WhatsApp media downloads (documents, audio, video) ([#2978](https://github.com/NousResearch/hermes-agent/pull/2978))
- Fix Telegram "Message thread not found" killing progress messages ([#3390](https://github.com/NousResearch/hermes-agent/pull/3390))
- Fix OpenClaw migration overwriting defaults ([#3282](https://github.com/NousResearch/hermes-agent/pull/3282))
- Fix returning-user setup menu dispatching wrong section ([#3083](https://github.com/NousResearch/hermes-agent/pull/3083))
- Fix `hermes update` PEP 668 "externally-managed-environment" error ([#3099](https://github.com/NousResearch/hermes-agent/pull/3099))
- Fix subagents hitting `max_iterations` prematurely via shared budget ([#3004](https://github.com/NousResearch/hermes-agent/pull/3004))
- Fix YAML boolean handling for `tool_progress` config ([#3300](https://github.com/NousResearch/hermes-agent/pull/3300))
- Fix `config.get()` crashes on YAML null values ([#3377](https://github.com/NousResearch/hermes-agent/pull/3377))
- Fix `.strip()` crash on None values from YAML config ([#3552](https://github.com/NousResearch/hermes-agent/pull/3552))
- Fix hung agents on gateway — `/stop` now hard-kills session lock ([#3104](https://github.com/NousResearch/hermes-agent/pull/3104))
- Fix `_custom` provider silently remapped to `openrouter` ([#2792](https://github.com/NousResearch/hermes-agent/pull/2792))
- Fix Matrix missing from `PLATFORMS` dict ([#3473](https://github.com/NousResearch/hermes-agent/pull/3473))
- Fix Email adapter unbounded `_seen_uids` growth ([#3490](https://github.com/NousResearch/hermes-agent/pull/3490))
---
## 🧪 Testing
- Pin `agent-client-protocol` < 0.9 to handle breaking upstream release ([#3320](https://github.com/NousResearch/hermes-agent/pull/3320))
- Catch anthropic ImportError in vision auto-detection tests ([#3312](https://github.com/NousResearch/hermes-agent/pull/3312))
- Update retry-exhaust test for new graceful return behavior ([#3320](https://github.com/NousResearch/hermes-agent/pull/3320))
- Add regression tests for null metadata frontmatter ([untagged commit](https://github.com/NousResearch/hermes-agent))
---
## 📚 Documentation
- Update all docs for `/model` command overhaul and custom provider support ([#2800](https://github.com/NousResearch/hermes-agent/pull/2800))
- Fix stale and incorrect documentation across 18 files ([#2805](https://github.com/NousResearch/hermes-agent/pull/2805))
- Document 9 previously undocumented features ([#2814](https://github.com/NousResearch/hermes-agent/pull/2814))
- Add missing skills, CLI commands, and messaging env vars to docs ([#2809](https://github.com/NousResearch/hermes-agent/pull/2809))
- Fix api-server response storage documentation — SQLite, not in-memory ([#2819](https://github.com/NousResearch/hermes-agent/pull/2819))
- Quote pip install extras to fix zsh glob errors ([#2815](https://github.com/NousResearch/hermes-agent/pull/2815))
- Unify hooks documentation — add plugin hooks to hooks page, add `session:end` event ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Clarify two-mode behavior in `session_search` schema description ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Fix Discord Public Bot setting for Discord-provided invite link ([#3519](https://github.com/NousResearch/hermes-agent/pull/3519)) by @mehmoodosman
- Revise v0.4.0 changelog — fix feature attribution, reorder sections ([untagged commit](https://github.com/NousResearch/hermes-agent))
---
## 👥 Contributors
### Core
- **@teknium1** — 157 PRs covering the full scope of this release
### Community Contributors
- **@alt-glitch** (Siddharth Balyan) — 2 PRs: Nix flake with uv2nix build, NixOS module, and persistent container mode ([#20](https://github.com/NousResearch/hermes-agent/pull/20)); auto-generated config keys and suffix PATHs for Nix builds ([#3061](https://github.com/NousResearch/hermes-agent/pull/3061), [#3274](https://github.com/NousResearch/hermes-agent/pull/3274))
- **@ctlst** — 1 PR: Prevent AsyncOpenAI/httpx cross-loop deadlock in gateway mode ([#2701](https://github.com/NousResearch/hermes-agent/pull/2701))
- **@memosr** (memosr.eth) — 1 PR: Add request timeouts to `send_message_tool` HTTP calls ([#3162](https://github.com/NousResearch/hermes-agent/pull/3162))
- **@mehmoodosman** (Osman Mehmood) — 1 PR: Fix Discord docs for Public Bot setting ([#3519](https://github.com/NousResearch/hermes-agent/pull/3519))
### All Contributors
@alt-glitch, @ctlst, @mehmoodosman, @memosr, @teknium1
---
**Full Changelog**: [v2026.3.23...v2026.3.28](https://github.com/NousResearch/hermes-agent/compare/v2026.3.23...v2026.3.28)

View File

@@ -54,18 +54,14 @@ def make_tool_progress_cb(
Signature expected by AIAgent::
tool_progress_callback(event_type: str, name: str, preview: str, args: dict, **kwargs)
tool_progress_callback(name: str, preview: str, args: dict)
Emits ``ToolCallStart`` for ``tool.started`` events and tracks IDs in a FIFO
Emits ``ToolCallStart`` for each tool invocation and tracks IDs in a FIFO
queue per tool name so duplicate/parallel same-name calls still complete
against the correct ACP tool call. Other event types (``tool.completed``,
``reasoning.available``) are silently ignored.
against the correct ACP tool call.
"""
def _tool_progress(event_type: str, name: str = None, preview: str = None, args: Any = None, **kwargs) -> None:
# Only emit ACP ToolCallStart for tool.started; ignore other event types
if event_type != "tool.started":
return
def _tool_progress(name: str, preview: str, args: Any = None) -> None:
if isinstance(args, str):
try:
args = json.loads(args)

View File

@@ -12,8 +12,7 @@ import acp
from acp.schema import (
AgentCapabilities,
AuthenticateResponse,
AvailableCommand,
AvailableCommandsUpdate,
AuthMethod,
ClientCapabilities,
EmbeddedResourceContentBlock,
ForkSessionResponse,
@@ -23,9 +22,6 @@ from acp.schema import (
InitializeResponse,
ListSessionsResponse,
LoadSessionResponse,
McpServerHttp,
McpServerSse,
McpServerStdio,
NewSessionResponse,
PromptResponse,
ResumeSessionResponse,
@@ -38,16 +34,9 @@ from acp.schema import (
SessionListCapabilities,
SessionInfo,
TextContentBlock,
UnstructuredCommandInput,
Usage,
)
# AuthMethodAgent was renamed from AuthMethod in agent-client-protocol 0.9.0
try:
from acp.schema import AuthMethodAgent
except ImportError:
from acp.schema import AuthMethod as AuthMethodAgent # type: ignore[attr-defined]
from acp_adapter.auth import detect_provider, has_provider
from acp_adapter.events import (
make_message_cb,
@@ -92,48 +81,6 @@ def _extract_text(
class HermesACPAgent(acp.Agent):
"""ACP Agent implementation wrapping Hermes AIAgent."""
_SLASH_COMMANDS = {
"help": "Show available commands",
"model": "Show or change current model",
"tools": "List available tools",
"context": "Show conversation context info",
"reset": "Clear conversation history",
"compact": "Compress conversation context",
"version": "Show Hermes version",
}
_ADVERTISED_COMMANDS = (
{
"name": "help",
"description": "List available commands",
},
{
"name": "model",
"description": "Show current model and provider, or switch models",
"input_hint": "model name to switch to",
},
{
"name": "tools",
"description": "List available tools with descriptions",
},
{
"name": "context",
"description": "Show conversation message counts by role",
},
{
"name": "reset",
"description": "Clear conversation history",
},
{
"name": "compact",
"description": "Compress conversation context",
},
{
"name": "version",
"description": "Show Hermes version",
},
)
def __init__(self, session_manager: SessionManager | None = None):
super().__init__()
self.session_manager = session_manager or SessionManager()
@@ -146,71 +93,6 @@ class HermesACPAgent(acp.Agent):
self._conn = conn
logger.info("ACP client connected")
async def _register_session_mcp_servers(
self,
state: SessionState,
mcp_servers: list[McpServerStdio | McpServerHttp | McpServerSse] | None,
) -> None:
"""Register ACP-provided MCP servers and refresh the agent tool surface."""
if not mcp_servers:
return
try:
from tools.mcp_tool import register_mcp_servers
config_map: dict[str, dict] = {}
for server in mcp_servers:
name = server.name
if isinstance(server, McpServerStdio):
config = {
"command": server.command,
"args": list(server.args),
"env": {item.name: item.value for item in server.env},
}
else:
config = {
"url": server.url,
"headers": {item.name: item.value for item in server.headers},
}
config_map[name] = config
await asyncio.to_thread(register_mcp_servers, config_map)
except Exception:
logger.warning(
"Session %s: failed to register ACP MCP servers",
state.session_id,
exc_info=True,
)
return
try:
from model_tools import get_tool_definitions
enabled_toolsets = getattr(state.agent, "enabled_toolsets", None) or ["hermes-acp"]
disabled_toolsets = getattr(state.agent, "disabled_toolsets", None)
state.agent.tools = get_tool_definitions(
enabled_toolsets=enabled_toolsets,
disabled_toolsets=disabled_toolsets,
quiet_mode=True,
)
state.agent.valid_tool_names = {
tool["function"]["name"] for tool in state.agent.tools or []
}
invalidate = getattr(state.agent, "_invalidate_system_prompt", None)
if callable(invalidate):
invalidate()
logger.info(
"Session %s: refreshed tool surface after ACP MCP registration (%d tools)",
state.session_id,
len(state.agent.tools or []),
)
except Exception:
logger.warning(
"Session %s: failed to refresh tool surface after ACP MCP registration",
state.session_id,
exc_info=True,
)
# ---- ACP lifecycle ------------------------------------------------------
async def initialize(
@@ -227,7 +109,7 @@ class HermesACPAgent(acp.Agent):
auth_methods = None
if provider:
auth_methods = [
AuthMethodAgent(
AuthMethod(
id=provider,
name=f"{provider} runtime credentials",
description=f"Authenticate Hermes using the currently configured {provider} runtime credentials.",
@@ -267,9 +149,7 @@ class HermesACPAgent(acp.Agent):
**kwargs: Any,
) -> NewSessionResponse:
state = self.session_manager.create_session(cwd=cwd)
await self._register_session_mcp_servers(state, mcp_servers)
logger.info("New session %s (cwd=%s)", state.session_id, cwd)
self._schedule_available_commands_update(state.session_id)
return NewSessionResponse(session_id=state.session_id)
async def load_session(
@@ -283,9 +163,7 @@ class HermesACPAgent(acp.Agent):
if state is None:
logger.warning("load_session: session %s not found", session_id)
return None
await self._register_session_mcp_servers(state, mcp_servers)
logger.info("Loaded session %s", session_id)
self._schedule_available_commands_update(session_id)
return LoadSessionResponse()
async def resume_session(
@@ -299,9 +177,7 @@ class HermesACPAgent(acp.Agent):
if state is None:
logger.warning("resume_session: session %s not found, creating new", session_id)
state = self.session_manager.create_session(cwd=cwd)
await self._register_session_mcp_servers(state, mcp_servers)
logger.info("Resumed session %s", state.session_id)
self._schedule_available_commands_update(state.session_id)
return ResumeSessionResponse()
async def cancel(self, session_id: str, **kwargs: Any) -> None:
@@ -324,11 +200,7 @@ class HermesACPAgent(acp.Agent):
) -> ForkSessionResponse:
state = self.session_manager.fork_session(session_id, cwd=cwd)
new_id = state.session_id if state else ""
if state is not None:
await self._register_session_mcp_servers(state, mcp_servers)
logger.info("Forked session %s -> %s", session_id, new_id)
if new_id:
self._schedule_available_commands_update(new_id)
return ForkSessionResponse(session_id=new_id)
async def list_sessions(
@@ -466,50 +338,15 @@ class HermesACPAgent(acp.Agent):
# ---- Slash commands (headless) -------------------------------------------
@classmethod
def _available_commands(cls) -> list[AvailableCommand]:
commands: list[AvailableCommand] = []
for spec in cls._ADVERTISED_COMMANDS:
input_hint = spec.get("input_hint")
commands.append(
AvailableCommand(
name=spec["name"],
description=spec["description"],
input=UnstructuredCommandInput(hint=input_hint)
if input_hint
else None,
)
)
return commands
async def _send_available_commands_update(self, session_id: str) -> None:
"""Advertise supported slash commands to the connected ACP client."""
if not self._conn:
return
try:
await self._conn.session_update(
session_id=session_id,
update=AvailableCommandsUpdate(
sessionUpdate="available_commands_update",
availableCommands=self._available_commands(),
),
)
except Exception:
logger.warning(
"Failed to advertise ACP slash commands for session %s",
session_id,
exc_info=True,
)
def _schedule_available_commands_update(self, session_id: str) -> None:
"""Send the command advertisement after the session response is queued."""
if not self._conn:
return
loop = asyncio.get_running_loop()
loop.call_soon(
asyncio.create_task, self._send_available_commands_update(session_id)
)
_SLASH_COMMANDS = {
"help": "Show available commands",
"model": "Show or change current model",
"tools": "List available tools",
"context": "Show conversation context info",
"reset": "Clear conversation history",
"compact": "Compress conversation context",
"version": "Show Hermes version",
}
def _handle_slash_command(self, text: str, state: SessionState) -> str | None:
"""Dispatch a slash command and return the response text.
@@ -629,39 +466,11 @@ class HermesACPAgent(acp.Agent):
return "Nothing to compress — conversation is empty."
try:
agent = state.agent
if not getattr(agent, "compression_enabled", True):
return "Context compression is disabled for this agent."
if not hasattr(agent, "_compress_context"):
return "Context compression not available for this agent."
from agent.model_metadata import estimate_messages_tokens_rough
original_count = len(state.history)
approx_tokens = estimate_messages_tokens_rough(state.history)
original_session_db = getattr(agent, "_session_db", None)
try:
# ACP sessions must keep a stable session id, so avoid the
# SQLite session-splitting side effect inside _compress_context.
agent._session_db = None
compressed, _ = agent._compress_context(
state.history,
getattr(agent, "_cached_system_prompt", "") or "",
approx_tokens=approx_tokens,
task_id=state.session_id,
)
finally:
agent._session_db = original_session_db
state.history = compressed
self.session_manager.save_session(state.session_id)
new_count = len(state.history)
new_tokens = estimate_messages_tokens_rough(state.history)
return (
f"Context compressed: {original_count} -> {new_count} messages\n"
f"~{approx_tokens:,} -> ~{new_tokens:,} tokens"
)
if hasattr(agent, "compress_context"):
agent.compress_context(state.history)
self.session_manager.save_session(state.session_id)
return f"Context compressed. Messages: {len(state.history)}"
return "Context compression not available for this agent."
except Exception as e:
return f"Compression failed: {e}"

View File

@@ -13,7 +13,6 @@ from hermes_constants import get_hermes_home
import copy
import json
import logging
import sys
import uuid
from dataclasses import dataclass, field
from threading import Lock
@@ -22,17 +21,6 @@ from typing import Any, Dict, List, Optional
logger = logging.getLogger(__name__)
def _acp_stderr_print(*args, **kwargs) -> None:
"""Best-effort human-readable output sink for ACP stdio sessions.
ACP reserves stdout for JSON-RPC frames, so any incidental CLI/status output
from AIAgent must be redirected away from stdout. Route it to stderr instead.
"""
kwargs = dict(kwargs)
kwargs.setdefault("file", sys.stderr)
print(*args, **kwargs)
def _register_task_cwd(task_id: str, cwd: str) -> None:
"""Bind a task/session id to the editor's working directory for tools."""
if not task_id:
@@ -438,7 +426,7 @@ class SessionManager:
config = load_config()
model_cfg = config.get("model")
default_model = ""
default_model = "anthropic/claude-opus-4.6"
config_provider = None
if isinstance(model_cfg, dict):
default_model = str(model_cfg.get("default") or default_model)
@@ -470,8 +458,4 @@ class SessionManager:
logger.debug("ACP session falling back to default provider resolution", exc_info=True)
_register_task_cwd(session_id, cwd)
agent = AIAgent(**kwargs)
# ACP stdio transport requires stdout to remain protocol-only JSON-RPC.
# Route any incidental human-readable agent output to stderr instead.
agent._print_fn = _acp_stderr_print
return agent
return AIAgent(**kwargs)

View File

@@ -39,6 +39,7 @@ TOOL_KIND_MAP: Dict[str, ToolKind] = {
"browser_scroll": "execute",
"browser_press": "execute",
"browser_back": "execute",
"browser_close": "execute",
"browser_get_images": "read",
# Agent internals
"delegate_task": "execute",

View File

@@ -10,7 +10,6 @@ Auth supports:
- Claude Code credentials (~/.claude.json or ~/.claude/.credentials.json) → Bearer auth
"""
import copy
import json
import logging
import os
@@ -163,36 +162,6 @@ def _is_oauth_token(key: str) -> bool:
return True
def _is_third_party_anthropic_endpoint(base_url: str | None) -> bool:
"""Return True for non-Anthropic endpoints using the Anthropic Messages API.
Third-party proxies (Azure AI Foundry, AWS Bedrock, self-hosted) authenticate
with their own API keys via x-api-key, not Anthropic OAuth tokens. OAuth
detection should be skipped for these endpoints.
"""
if not base_url:
return False # No base_url = direct Anthropic API
normalized = base_url.rstrip("/").lower()
if "anthropic.com" in normalized:
return False # Direct Anthropic API — OAuth applies
return True # Any other endpoint is a third-party proxy
def _requires_bearer_auth(base_url: str | None) -> bool:
"""Return True for Anthropic-compatible providers that require Bearer auth.
Some third-party /anthropic endpoints implement Anthropic's Messages API but
require Authorization: Bearer instead of Anthropic's native x-api-key header.
MiniMax's global and China Anthropic-compatible endpoints follow this pattern.
"""
if not base_url:
return False
normalized = base_url.rstrip("/").lower()
return normalized.startswith("https://api.minimax.io/anthropic") or normalized.startswith(
"https://api.minimaxi.com/anthropic"
)
def build_anthropic_client(api_key: str, base_url: str = None):
"""Create an Anthropic client, auto-detecting setup-tokens vs API keys.
@@ -211,25 +180,7 @@ def build_anthropic_client(api_key: str, base_url: str = None):
if base_url:
kwargs["base_url"] = base_url
if _requires_bearer_auth(base_url):
# Some Anthropic-compatible providers (e.g. MiniMax) expect the API key in
# Authorization: Bearer even for regular API keys. Route those endpoints
# through auth_token so the SDK sends Bearer auth instead of x-api-key.
# Check this before OAuth token shape detection because MiniMax secrets do
# not use Anthropic's sk-ant-api prefix and would otherwise be misread as
# Anthropic OAuth/setup tokens.
kwargs["auth_token"] = api_key
if _COMMON_BETAS:
kwargs["default_headers"] = {"anthropic-beta": ",".join(_COMMON_BETAS)}
elif _is_third_party_anthropic_endpoint(base_url):
# Third-party proxies (Azure AI Foundry, AWS Bedrock, etc.) use their
# own API keys with x-api-key auth. Skip OAuth detection — their keys
# don't follow Anthropic's sk-ant-* prefix convention and would be
# misclassified as OAuth tokens.
kwargs["api_key"] = api_key
if _COMMON_BETAS:
kwargs["default_headers"] = {"anthropic-beta": ",".join(_COMMON_BETAS)}
elif _is_oauth_token(api_key):
if _is_oauth_token(api_key):
# OAuth access token / setup-token → Bearer auth + Claude Code identity.
# Anthropic routes OAuth requests based on user-agent and headers;
# without Claude Code's fingerprint, requests get intermittent 500s.
@@ -308,105 +259,71 @@ def is_claude_code_token_valid(creds: Dict[str, Any]) -> bool:
return now_ms < (expires_at - 60_000)
def refresh_anthropic_oauth_pure(refresh_token: str, *, use_json: bool = False) -> Dict[str, Any]:
"""Refresh an Anthropic OAuth token without mutating local credential files."""
def _refresh_oauth_token(creds: Dict[str, Any]) -> Optional[str]:
"""Attempt to refresh an expired Claude Code OAuth token.
Uses the same token endpoint and client_id as Claude Code / OpenCode.
Only works for credentials that have a refresh token (from claude /login
or claude setup-token with OAuth flow).
Tries the new platform.claude.com endpoint first (Claude Code >=2.1.81),
then falls back to console.anthropic.com for older tokens.
Returns the new access token, or None if refresh fails.
"""
import time
import urllib.parse
import urllib.request
if not refresh_token:
raise ValueError("refresh_token is required")
client_id = "9d1c250a-e61b-44d9-88ed-5944d1962f5e"
if use_json:
data = json.dumps({
"grant_type": "refresh_token",
"refresh_token": refresh_token,
"client_id": client_id,
}).encode()
content_type = "application/json"
else:
data = urllib.parse.urlencode({
"grant_type": "refresh_token",
"refresh_token": refresh_token,
"client_id": client_id,
}).encode()
content_type = "application/x-www-form-urlencoded"
token_endpoints = [
"https://platform.claude.com/v1/oauth/token",
"https://console.anthropic.com/v1/oauth/token",
]
last_error = None
for endpoint in token_endpoints:
req = urllib.request.Request(
endpoint,
data=data,
headers={
"Content-Type": content_type,
"User-Agent": f"claude-cli/{_get_claude_code_version()} (external, cli)",
},
method="POST",
)
try:
with urllib.request.urlopen(req, timeout=10) as resp:
result = json.loads(resp.read().decode())
except Exception as exc:
last_error = exc
logger.debug("Anthropic token refresh failed at %s: %s", endpoint, exc)
continue
access_token = result.get("access_token", "")
if not access_token:
raise ValueError("Anthropic refresh response was missing access_token")
next_refresh = result.get("refresh_token", refresh_token)
expires_in = result.get("expires_in", 3600)
return {
"access_token": access_token,
"refresh_token": next_refresh,
"expires_at_ms": int(time.time() * 1000) + (expires_in * 1000),
}
if last_error is not None:
raise last_error
raise ValueError("Anthropic token refresh failed")
def _refresh_oauth_token(creds: Dict[str, Any]) -> Optional[str]:
"""Attempt to refresh an expired Claude Code OAuth token."""
refresh_token = creds.get("refreshToken", "")
if not refresh_token:
logger.debug("No refresh token available — cannot refresh")
return None
try:
refreshed = refresh_anthropic_oauth_pure(refresh_token, use_json=False)
_write_claude_code_credentials(
refreshed["access_token"],
refreshed["refresh_token"],
refreshed["expires_at_ms"],
# Client ID used by Claude Code's OAuth flow
CLIENT_ID = "9d1c250a-e61b-44d9-88ed-5944d1962f5e"
# Anthropic migrated OAuth from console.anthropic.com to platform.claude.com
# (Claude Code v2.1.81+). Try new endpoint first, fall back to old.
token_endpoints = [
"https://platform.claude.com/v1/oauth/token",
"https://console.anthropic.com/v1/oauth/token",
]
payload = json.dumps({
"grant_type": "refresh_token",
"refresh_token": refresh_token,
"client_id": CLIENT_ID,
}).encode()
headers = {
"Content-Type": "application/json",
"User-Agent": f"claude-cli/{_get_claude_code_version()} (external, cli)",
}
for endpoint in token_endpoints:
req = urllib.request.Request(
endpoint, data=payload, headers=headers, method="POST",
)
logger.debug("Successfully refreshed Claude Code OAuth token")
return refreshed["access_token"]
except Exception as e:
logger.debug("Failed to refresh Claude Code token: %s", e)
return None
try:
with urllib.request.urlopen(req, timeout=10) as resp:
result = json.loads(resp.read().decode())
new_access = result.get("access_token", "")
new_refresh = result.get("refresh_token", refresh_token)
expires_in = result.get("expires_in", 3600)
if new_access:
new_expires_ms = int(time.time() * 1000) + (expires_in * 1000)
_write_claude_code_credentials(new_access, new_refresh, new_expires_ms)
logger.debug("Refreshed Claude Code OAuth token via %s", endpoint)
return new_access
except Exception as e:
logger.debug("Token refresh failed at %s: %s", endpoint, e)
return None
def _write_claude_code_credentials(
access_token: str,
refresh_token: str,
expires_at_ms: int,
*,
scopes: Optional[list] = None,
) -> None:
"""Write refreshed credentials back to ~/.claude/.credentials.json.
The optional *scopes* list (e.g. ``["user:inference", "user:profile", ...]``)
is persisted so that Claude Code's own auth check recognises the credential
as valid. Claude Code >=2.1.81 gates on the presence of ``"user:inference"``
in the stored scopes before it will use the token.
"""
def _write_claude_code_credentials(access_token: str, refresh_token: str, expires_at_ms: int) -> None:
"""Write refreshed credentials back to ~/.claude/.credentials.json."""
cred_path = Path.home() / ".claude" / ".credentials.json"
try:
# Read existing file to preserve other fields
@@ -414,19 +331,11 @@ def _write_claude_code_credentials(
if cred_path.exists():
existing = json.loads(cred_path.read_text(encoding="utf-8"))
oauth_data: Dict[str, Any] = {
existing["claudeAiOauth"] = {
"accessToken": access_token,
"refreshToken": refresh_token,
"expiresAt": expires_at_ms,
}
if scopes is not None:
oauth_data["scopes"] = scopes
elif "claudeAiOauth" in existing and "scopes" in existing["claudeAiOauth"]:
# Preserve previously-stored scopes when the refresh response
# does not include a scope field.
oauth_data["scopes"] = existing["claudeAiOauth"]["scopes"]
existing["claudeAiOauth"] = oauth_data
cred_path.parent.mkdir(parents=True, exist_ok=True)
cred_path.write_text(json.dumps(existing, indent=2), encoding="utf-8")
@@ -586,208 +495,10 @@ def run_oauth_setup_token() -> Optional[str]:
return None
# ── Hermes-native PKCE OAuth flow ────────────────────────────────────────
# Mirrors the flow used by Claude Code, pi-ai, and OpenCode.
# Stores credentials in ~/.hermes/.anthropic_oauth.json (our own file).
_OAUTH_CLIENT_ID = "9d1c250a-e61b-44d9-88ed-5944d1962f5e"
_OAUTH_TOKEN_URL = "https://console.anthropic.com/v1/oauth/token"
_OAUTH_REDIRECT_URI = "https://console.anthropic.com/oauth/code/callback"
_OAUTH_SCOPES = "org:create_api_key user:profile user:inference"
_HERMES_OAUTH_FILE = get_hermes_home() / ".anthropic_oauth.json"
def _generate_pkce() -> tuple:
"""Generate PKCE code_verifier and code_challenge (S256)."""
import base64
import hashlib
import secrets
verifier = base64.urlsafe_b64encode(secrets.token_bytes(32)).rstrip(b"=").decode()
challenge = base64.urlsafe_b64encode(
hashlib.sha256(verifier.encode()).digest()
).rstrip(b"=").decode()
return verifier, challenge
def run_hermes_oauth_login_pure() -> Optional[Dict[str, Any]]:
"""Run Hermes-native OAuth PKCE flow and return credential state."""
import time
import webbrowser
verifier, challenge = _generate_pkce()
params = {
"code": "true",
"client_id": _OAUTH_CLIENT_ID,
"response_type": "code",
"redirect_uri": _OAUTH_REDIRECT_URI,
"scope": _OAUTH_SCOPES,
"code_challenge": challenge,
"code_challenge_method": "S256",
"state": verifier,
}
from urllib.parse import urlencode
auth_url = f"https://claude.ai/oauth/authorize?{urlencode(params)}"
print()
print("Authorize Hermes with your Claude Pro/Max subscription.")
print()
print("╭─ Claude Pro/Max Authorization ────────────────────╮")
print("│ │")
print("│ Open this link in your browser: │")
print("╰───────────────────────────────────────────────────╯")
print()
print(f" {auth_url}")
print()
try:
webbrowser.open(auth_url)
print(" (Browser opened automatically)")
except Exception:
pass
print()
print("After authorizing, you'll see a code. Paste it below.")
print()
try:
auth_code = input("Authorization code: ").strip()
except (KeyboardInterrupt, EOFError):
return None
if not auth_code:
print("No code entered.")
return None
splits = auth_code.split("#")
code = splits[0]
state = splits[1] if len(splits) > 1 else ""
try:
import urllib.request
exchange_data = json.dumps({
"grant_type": "authorization_code",
"client_id": _OAUTH_CLIENT_ID,
"code": code,
"state": state,
"redirect_uri": _OAUTH_REDIRECT_URI,
"code_verifier": verifier,
}).encode()
req = urllib.request.Request(
_OAUTH_TOKEN_URL,
data=exchange_data,
headers={
"Content-Type": "application/json",
"User-Agent": f"claude-cli/{_get_claude_code_version()} (external, cli)",
},
method="POST",
)
with urllib.request.urlopen(req, timeout=15) as resp:
result = json.loads(resp.read().decode())
except Exception as e:
print(f"Token exchange failed: {e}")
return None
access_token = result.get("access_token", "")
refresh_token = result.get("refresh_token", "")
expires_in = result.get("expires_in", 3600)
if not access_token:
print("No access token in response.")
return None
expires_at_ms = int(time.time() * 1000) + (expires_in * 1000)
return {
"access_token": access_token,
"refresh_token": refresh_token,
"expires_at_ms": expires_at_ms,
}
def run_hermes_oauth_login() -> Optional[str]:
"""Run Hermes-native OAuth PKCE flow for Claude Pro/Max subscription.
Opens a browser to claude.ai for authorization, prompts for the code,
exchanges it for tokens, and stores them in ~/.hermes/.anthropic_oauth.json.
Returns the access token on success, None on failure.
"""
result = run_hermes_oauth_login_pure()
if not result:
return None
access_token = result["access_token"]
refresh_token = result["refresh_token"]
expires_at_ms = result["expires_at_ms"]
_save_hermes_oauth_credentials(access_token, refresh_token, expires_at_ms)
_write_claude_code_credentials(access_token, refresh_token, expires_at_ms)
print("Authentication successful!")
return access_token
def _save_hermes_oauth_credentials(access_token: str, refresh_token: str, expires_at_ms: int) -> None:
"""Save OAuth credentials to ~/.hermes/.anthropic_oauth.json."""
data = {
"accessToken": access_token,
"refreshToken": refresh_token,
"expiresAt": expires_at_ms,
}
try:
_HERMES_OAUTH_FILE.parent.mkdir(parents=True, exist_ok=True)
_HERMES_OAUTH_FILE.write_text(json.dumps(data, indent=2), encoding="utf-8")
_HERMES_OAUTH_FILE.chmod(0o600)
except (OSError, IOError) as e:
logger.debug("Failed to save Hermes OAuth credentials: %s", e)
def read_hermes_oauth_credentials() -> Optional[Dict[str, Any]]:
"""Read Hermes-managed OAuth credentials from ~/.hermes/.anthropic_oauth.json."""
if _HERMES_OAUTH_FILE.exists():
try:
data = json.loads(_HERMES_OAUTH_FILE.read_text(encoding="utf-8"))
if data.get("accessToken"):
return data
except (json.JSONDecodeError, OSError, IOError) as e:
logger.debug("Failed to read Hermes OAuth credentials: %s", e)
return None
def refresh_hermes_oauth_token() -> Optional[str]:
"""Refresh the Hermes-managed OAuth token using the stored refresh token.
Returns the new access token, or None if refresh fails.
"""
creds = read_hermes_oauth_credentials()
if not creds or not creds.get("refreshToken"):
return None
try:
refreshed = refresh_anthropic_oauth_pure(
creds["refreshToken"],
use_json=True,
)
_save_hermes_oauth_credentials(
refreshed["access_token"],
refreshed["refresh_token"],
refreshed["expires_at_ms"],
)
_write_claude_code_credentials(
refreshed["access_token"],
refreshed["refresh_token"],
refreshed["expires_at_ms"],
)
logger.debug("Successfully refreshed Hermes OAuth token")
return refreshed["access_token"]
except Exception as e:
logger.debug("Failed to refresh Hermes OAuth token: %s", e)
return None
# ---------------------------------------------------------------------------
@@ -950,69 +661,6 @@ def _convert_content_part_to_anthropic(part: Any) -> Optional[Dict[str, Any]]:
return block
def _to_plain_data(value: Any, *, _depth: int = 0, _path: Optional[set] = None) -> Any:
"""Recursively convert SDK objects to plain Python data structures.
Guards against circular references (``_path`` tracks ``id()`` of objects
on the *current* recursion path) and runaway depth (capped at 20 levels).
Uses path-based tracking so shared (but non-cyclic) objects referenced by
multiple siblings are converted correctly rather than being stringified.
"""
_MAX_DEPTH = 20
if _depth > _MAX_DEPTH:
return str(value)
if _path is None:
_path = set()
obj_id = id(value)
if obj_id in _path:
return str(value)
if hasattr(value, "model_dump"):
_path.add(obj_id)
result = _to_plain_data(value.model_dump(), _depth=_depth + 1, _path=_path)
_path.discard(obj_id)
return result
if isinstance(value, dict):
_path.add(obj_id)
result = {k: _to_plain_data(v, _depth=_depth + 1, _path=_path) for k, v in value.items()}
_path.discard(obj_id)
return result
if isinstance(value, (list, tuple)):
_path.add(obj_id)
result = [_to_plain_data(v, _depth=_depth + 1, _path=_path) for v in value]
_path.discard(obj_id)
return result
if hasattr(value, "__dict__"):
_path.add(obj_id)
result = {
k: _to_plain_data(v, _depth=_depth + 1, _path=_path)
for k, v in vars(value).items()
if not k.startswith("_")
}
_path.discard(obj_id)
return result
return value
def _extract_preserved_thinking_blocks(message: Dict[str, Any]) -> List[Dict[str, Any]]:
"""Return Anthropic thinking blocks previously preserved on the message."""
raw_details = message.get("reasoning_details")
if not isinstance(raw_details, list):
return []
preserved: List[Dict[str, Any]] = []
for detail in raw_details:
if not isinstance(detail, dict):
continue
block_type = str(detail.get("type", "") or "").strip().lower()
if block_type not in {"thinking", "redacted_thinking"}:
continue
preserved.append(copy.deepcopy(detail))
return preserved
def _convert_content_to_anthropic(content: Any) -> Any:
"""Convert OpenAI-style multimodal content arrays to Anthropic blocks."""
if not isinstance(content, list):
@@ -1059,7 +707,7 @@ def convert_messages_to_anthropic(
continue
if role == "assistant":
blocks = _extract_preserved_thinking_blocks(m)
blocks = []
if content:
if isinstance(content, list):
converted_content = _convert_content_to_anthropic(content)
@@ -1343,7 +991,6 @@ def normalize_anthropic_response(
"""
text_parts = []
reasoning_parts = []
reasoning_details = []
tool_calls = []
for block in response.content:
@@ -1351,9 +998,6 @@ def normalize_anthropic_response(
text_parts.append(block.text)
elif block.type == "thinking":
reasoning_parts.append(block.thinking)
block_dict = _to_plain_data(block)
if isinstance(block_dict, dict):
reasoning_details.append(block_dict)
elif block.type == "tool_use":
name = block.name
if strip_tool_prefix and name.startswith(_MCP_TOOL_PREFIX):
@@ -1384,7 +1028,7 @@ def normalize_anthropic_response(
tool_calls=tool_calls or None,
reasoning="\n\n".join(reasoning_parts) if reasoning_parts else None,
reasoning_content=None,
reasoning_details=reasoning_details or None,
reasoning_details=None,
),
finish_reason,
)
)

View File

@@ -7,7 +7,7 @@ the best available backend without duplicating fallback logic.
Resolution order for text tasks (auto mode):
1. OpenRouter (OPENROUTER_API_KEY)
2. Nous Portal (~/.hermes/auth.json active provider)
3. Custom endpoint (config.yaml model.base_url + OPENAI_API_KEY)
3. Custom endpoint (OPENAI_BASE_URL + OPENAI_API_KEY)
4. Codex OAuth (Responses API via chatgpt.com with gpt-5.3-codex,
wrapped to look like a chat.completions client)
5. Native Anthropic
@@ -34,12 +34,6 @@ than the provider's default.
Per-task direct endpoint overrides (e.g. AUXILIARY_VISION_BASE_URL,
AUXILIARY_VISION_API_KEY) let callers route a specific auxiliary task to a
custom OpenAI-compatible endpoint without touching the main model settings.
Payment / credit exhaustion fallback:
When a resolved provider returns HTTP 402 or a credit-related error,
call_llm() automatically retries with the next available provider in the
auto-detection chain. This handles the common case where a user depletes
their OpenRouter balance but has Codex OAuth or another provider available.
"""
import json
@@ -53,7 +47,6 @@ from typing import Any, Dict, List, Optional, Tuple
from openai import OpenAI
from agent.credential_pool import load_pool
from hermes_cli.config import get_hermes_home
from hermes_constants import OPENROUTER_BASE_URL
@@ -61,7 +54,6 @@ logger = logging.getLogger(__name__)
# Default auxiliary models for direct API-key providers (cheap/fast for side tasks)
_API_KEY_PROVIDER_AUX_MODELS: Dict[str, str] = {
"gemini": "gemini-3-flash-preview",
"zai": "glm-4.5-flash",
"kimi-coding": "kimi-k2-turbo-preview",
"minimax": "MiniMax-M2.7-highspeed",
@@ -104,45 +96,6 @@ _CODEX_AUX_MODEL = "gpt-5.2-codex"
_CODEX_AUX_BASE_URL = "https://chatgpt.com/backend-api/codex"
def _select_pool_entry(provider: str) -> Tuple[bool, Optional[Any]]:
"""Return (pool_exists_for_provider, selected_entry)."""
try:
pool = load_pool(provider)
except Exception as exc:
logger.debug("Auxiliary client: could not load pool for %s: %s", provider, exc)
return False, None
if not pool or not pool.has_credentials():
return False, None
try:
return True, pool.select()
except Exception as exc:
logger.debug("Auxiliary client: could not select pool entry for %s: %s", provider, exc)
return True, None
def _pool_runtime_api_key(entry: Any) -> str:
if entry is None:
return ""
# Use the PooledCredential.runtime_api_key property which handles
# provider-specific fallback (e.g. agent_key for nous).
key = getattr(entry, "runtime_api_key", None) or getattr(entry, "access_token", "")
return str(key or "").strip()
def _pool_runtime_base_url(entry: Any, fallback: str = "") -> str:
if entry is None:
return str(fallback or "").strip().rstrip("/")
# runtime_base_url handles provider-specific logic (e.g. nous prefers inference_base_url).
# Fall back through inference_base_url and base_url for non-PooledCredential entries.
url = (
getattr(entry, "runtime_base_url", None)
or getattr(entry, "inference_base_url", None)
or getattr(entry, "base_url", None)
or fallback
)
return str(url or "").strip().rstrip("/")
# ── Codex Responses → chat.completions adapter ─────────────────────────────
# All auxiliary consumers call client.chat.completions.create(**kwargs) and
# read response.choices[0].message.content. This adapter translates those
@@ -260,73 +213,26 @@ class _CodexCompletionsAdapter:
usage = None
try:
# Collect output items and text deltas during streaming —
# the Codex backend can return empty response.output from
# get_final_response() even when items were streamed.
collected_output_items: List[Any] = []
collected_text_deltas: List[str] = []
has_function_calls = False
with self._client.responses.stream(**resp_kwargs) as stream:
for _event in stream:
_etype = getattr(_event, "type", "")
if _etype == "response.output_item.done":
_done = getattr(_event, "item", None)
if _done is not None:
collected_output_items.append(_done)
elif "output_text.delta" in _etype:
_delta = getattr(_event, "delta", "")
if _delta:
collected_text_deltas.append(_delta)
elif "function_call" in _etype:
has_function_calls = True
pass
final = stream.get_final_response()
# Backfill empty output from collected stream events
_output = getattr(final, "output", None)
if isinstance(_output, list) and not _output:
if collected_output_items:
final.output = list(collected_output_items)
logger.debug(
"Codex auxiliary: backfilled %d output items from stream events",
len(collected_output_items),
)
elif collected_text_deltas and not has_function_calls:
# Only synthesize text when no tool calls were streamed —
# a function_call response with incidental text should not
# be collapsed into a plain-text message.
assembled = "".join(collected_text_deltas)
final.output = [SimpleNamespace(
type="message", role="assistant", status="completed",
content=[SimpleNamespace(type="output_text", text=assembled)],
)]
logger.debug(
"Codex auxiliary: synthesized from %d deltas (%d chars)",
len(collected_text_deltas), len(assembled),
)
# Extract text and tool calls from the Responses output.
# Items may be SDK objects (attrs) or dicts (raw/fallback paths),
# so use a helper that handles both shapes.
def _item_get(obj: Any, key: str, default: Any = None) -> Any:
val = getattr(obj, key, None)
if val is None and isinstance(obj, dict):
val = obj.get(key, default)
return val if val is not None else default
# Extract text and tool calls from the Responses output
for item in getattr(final, "output", []):
item_type = _item_get(item, "type")
item_type = getattr(item, "type", None)
if item_type == "message":
for part in (_item_get(item, "content") or []):
ptype = _item_get(part, "type")
for part in getattr(item, "content", []):
ptype = getattr(part, "type", None)
if ptype in ("output_text", "text"):
text_parts.append(_item_get(part, "text", ""))
text_parts.append(getattr(part, "text", ""))
elif item_type == "function_call":
tool_calls_raw.append(SimpleNamespace(
id=_item_get(item, "call_id", ""),
id=getattr(item, "call_id", ""),
type="function",
function=SimpleNamespace(
name=_item_get(item, "name", ""),
arguments=_item_get(item, "arguments", "{}"),
name=getattr(item, "name", ""),
arguments=getattr(item, "arguments", "{}"),
),
))
@@ -533,22 +439,6 @@ def _read_nous_auth() -> Optional[dict]:
Returns the provider state dict if Nous is active with tokens,
otherwise None.
"""
pool_present, entry = _select_pool_entry("nous")
if pool_present:
if entry is None:
return None
return {
"access_token": getattr(entry, "access_token", ""),
"refresh_token": getattr(entry, "refresh_token", None),
"agent_key": getattr(entry, "agent_key", None),
"inference_base_url": _pool_runtime_base_url(entry, _NOUS_DEFAULT_BASE_URL),
"portal_base_url": getattr(entry, "portal_base_url", None),
"client_id": getattr(entry, "client_id", None),
"scope": getattr(entry, "scope", None),
"token_type": getattr(entry, "token_type", "Bearer"),
"source": "pool",
}
try:
if not _AUTH_JSON_PATH.is_file():
return None
@@ -577,11 +467,6 @@ def _nous_base_url() -> str:
def _read_codex_access_token() -> Optional[str]:
"""Read a valid, non-expired Codex OAuth access token from Hermes auth store."""
pool_present, entry = _select_pool_entry("openai-codex")
if pool_present:
token = _pool_runtime_api_key(entry)
return token or None
try:
from hermes_cli.auth import _read_codex_tokens
data = _read_codex_tokens()
@@ -628,24 +513,6 @@ def _resolve_api_key_provider() -> Tuple[Optional[OpenAI], Optional[str]]:
if provider_id == "anthropic":
return _try_anthropic()
pool_present, entry = _select_pool_entry(provider_id)
if pool_present:
api_key = _pool_runtime_api_key(entry)
if not api_key:
continue
base_url = _pool_runtime_base_url(entry, pconfig.inference_base_url) or pconfig.inference_base_url
model = _API_KEY_PROVIDER_AUX_MODELS.get(provider_id, "default")
logger.debug("Auxiliary text client: %s (%s) via pool", pconfig.name, model)
extra = {}
if "api.kimi.com" in base_url.lower():
extra["default_headers"] = {"User-Agent": "KimiCLI/1.0"}
elif "api.githubcopilot.com" in base_url.lower():
from hermes_cli.models import copilot_default_headers
extra["default_headers"] = copilot_default_headers()
return OpenAI(api_key=api_key, base_url=base_url, **extra), model
creds = resolve_api_key_provider_credentials(provider_id)
api_key = str(creds.get("api_key", "")).strip()
if not api_key:
@@ -695,16 +562,6 @@ def _get_auxiliary_env_override(task: str, suffix: str) -> Optional[str]:
def _try_openrouter() -> Tuple[Optional[OpenAI], Optional[str]]:
pool_present, entry = _select_pool_entry("openrouter")
if pool_present:
or_key = _pool_runtime_api_key(entry)
if not or_key:
return None, None
base_url = _pool_runtime_base_url(entry, OPENROUTER_BASE_URL) or OPENROUTER_BASE_URL
logger.debug("Auxiliary client: OpenRouter via pool")
return OpenAI(api_key=or_key, base_url=base_url,
default_headers=_OR_HEADERS), _OPENROUTER_MODEL
or_key = os.getenv("OPENROUTER_API_KEY")
if not or_key:
return None, None
@@ -720,22 +577,22 @@ def _try_nous() -> Tuple[Optional[OpenAI], Optional[str]]:
global auxiliary_is_nous
auxiliary_is_nous = True
logger.debug("Auxiliary client: Nous Portal")
model = "gemini-3-flash" if nous.get("source") == "pool" else _NOUS_MODEL
return (
OpenAI(
api_key=_nous_api_key(nous),
base_url=str(nous.get("inference_base_url") or _nous_base_url()).rstrip("/"),
),
model,
OpenAI(api_key=_nous_api_key(nous), base_url=_nous_base_url()),
_NOUS_MODEL,
)
def _read_main_model() -> str:
"""Read the user's configured main model from config.yaml.
"""Read the user's configured main model from config/env.
config.yaml model.default is the single source of truth for the active
model. Environment variables are no longer consulted.
Falls back through HERMES_MODEL → LLM_MODEL → config.yaml model.default
so the auxiliary client can use the same model as the main agent when no
dedicated auxiliary model is available.
"""
from_env = os.getenv("OPENAI_MODEL") or os.getenv("HERMES_MODEL") or os.getenv("LLM_MODEL")
if from_env:
return from_env.strip()
try:
from hermes_cli.config import load_config
cfg = load_config()
@@ -751,25 +608,6 @@ def _read_main_model() -> str:
return ""
def _read_main_provider() -> str:
"""Read the user's configured main provider from config.yaml.
Returns the lowercase provider id (e.g. "alibaba", "openrouter") or ""
if not configured.
"""
try:
from hermes_cli.config import load_config
cfg = load_config()
model_cfg = cfg.get("model", {})
if isinstance(model_cfg, dict):
provider = model_cfg.get("provider", "")
if isinstance(provider, str) and provider.strip():
return provider.strip().lower()
except Exception:
pass
return ""
def _resolve_custom_runtime() -> Tuple[Optional[str], Optional[str]]:
"""Resolve the active custom/main endpoint the same way the main CLI does.
@@ -821,19 +659,11 @@ def _try_custom_endpoint() -> Tuple[Optional[OpenAI], Optional[str]]:
def _try_codex() -> Tuple[Optional[Any], Optional[str]]:
pool_present, entry = _select_pool_entry("openai-codex")
if pool_present:
codex_token = _pool_runtime_api_key(entry)
if not codex_token:
return None, None
base_url = _pool_runtime_base_url(entry, _CODEX_AUX_BASE_URL) or _CODEX_AUX_BASE_URL
else:
codex_token = _read_codex_access_token()
if not codex_token:
return None, None
base_url = _CODEX_AUX_BASE_URL
codex_token = _read_codex_access_token()
if not codex_token:
return None, None
logger.debug("Auxiliary client: Codex OAuth (%s via Responses API)", _CODEX_AUX_MODEL)
real_client = OpenAI(api_key=codex_token, base_url=base_url)
real_client = OpenAI(api_key=codex_token, base_url=_CODEX_AUX_BASE_URL)
return CodexAuxiliaryClient(real_client, _CODEX_AUX_MODEL), _CODEX_AUX_MODEL
@@ -843,21 +673,14 @@ def _try_anthropic() -> Tuple[Optional[Any], Optional[str]]:
except ImportError:
return None, None
pool_present, entry = _select_pool_entry("anthropic")
if pool_present:
if entry is None:
return None, None
token = _pool_runtime_api_key(entry)
else:
entry = None
token = resolve_anthropic_token()
token = resolve_anthropic_token()
if not token:
return None, None
# Allow base URL override from config.yaml model.base_url, but only
# when the configured provider is anthropic — otherwise a non-Anthropic
# base_url (e.g. Codex endpoint) would leak into Anthropic requests.
base_url = _pool_runtime_base_url(entry, _ANTHROPIC_DEFAULT_BASE_URL) if pool_present else _ANTHROPIC_DEFAULT_BASE_URL
base_url = _ANTHROPIC_DEFAULT_BASE_URL
try:
from hermes_cli.config import load_config
cfg = load_config()
@@ -896,7 +719,7 @@ def _resolve_forced_provider(forced: str) -> Tuple[Optional[OpenAI], Optional[st
if forced == "nous":
client, model = _try_nous()
if client is None:
logger.warning("auxiliary.provider=nous but Nous Portal not configured (run: hermes auth)")
logger.warning("auxiliary.provider=nous but Nous Portal not configured (run: hermes login)")
return client, model
if forced == "codex":
@@ -922,138 +745,21 @@ def _resolve_forced_provider(forced: str) -> Tuple[Optional[OpenAI], Optional[st
_AUTO_PROVIDER_LABELS = {
"_try_openrouter": "openrouter",
"_try_nous": "nous",
"_try_ollama": "ollama",
"_try_custom_endpoint": "local/custom",
"_try_codex": "openai-codex",
"_resolve_api_key_provider": "api-key",
}
_AGGREGATOR_PROVIDERS = frozenset({"openrouter", "nous"})
def _try_ollama() -> Tuple[Optional[OpenAI], Optional[str]]:
"""Detect and return an Ollama client if the server is reachable."""
base_url = (os.getenv("OLLAMA_BASE_URL", "") or "http://localhost:11434").strip().rstrip("/")
base_url = base_url + "/v1" if not base_url.endswith("/v1") else base_url
from agent.model_metadata import detect_local_server_type
if detect_local_server_type(base_url) != "ollama":
return None, None
api_key = (os.getenv("OLLAMA_API_KEY", "") or "ollama").strip()
model = _read_main_model() or "gemma4:12b"
return OpenAI(api_key=api_key, base_url=base_url), model
def _get_provider_chain() -> List[tuple]:
"""Return the ordered provider detection chain.
Built at call time (not module level) so that test patches
on the ``_try_*`` functions are picked up correctly.
"""
return [
("openrouter", _try_openrouter),
("nous", _try_nous),
("ollama", _try_ollama),
("local/custom", _try_custom_endpoint),
("openai-codex", _try_codex),
("api-key", _resolve_api_key_provider),
]
def _is_payment_error(exc: Exception) -> bool:
"""Detect payment/credit/quota exhaustion errors.
Returns True for HTTP 402 (Payment Required) and for 429/other errors
whose message indicates billing exhaustion rather than rate limiting.
"""
status = getattr(exc, "status_code", None)
if status == 402:
return True
err_lower = str(exc).lower()
# OpenRouter and other providers include "credits" or "afford" in 402 bodies,
# but sometimes wrap them in 429 or other codes.
if status in (402, 429, None):
if any(kw in err_lower for kw in ("credits", "insufficient funds",
"can only afford", "billing",
"payment required")):
return True
return False
def _try_payment_fallback(
failed_provider: str,
task: str = None,
) -> Tuple[Optional[Any], Optional[str], str]:
"""Try alternative providers after a payment/credit error.
Iterates the standard auto-detection chain, skipping the provider that
returned a payment error.
Returns:
(client, model, provider_label) or (None, None, "") if no fallback.
"""
# Normalise the failed provider label for matching.
skip = failed_provider.lower().strip()
# Also skip Step-1 main-provider path if it maps to the same backend.
# (e.g. main_provider="openrouter" → skip "openrouter" in chain)
main_provider = _read_main_provider()
skip_labels = {skip}
if main_provider and main_provider.lower() in skip:
skip_labels.add(main_provider.lower())
# Map common resolved_provider values back to chain labels.
_alias_to_label = {"openrouter": "openrouter", "nous": "nous",
"openai-codex": "openai-codex", "codex": "openai-codex",
"ollama": "ollama",
"custom": "local/custom", "local/custom": "local/custom"}
skip_chain_labels = {_alias_to_label.get(s, s) for s in skip_labels}
tried = []
for label, try_fn in _get_provider_chain():
if label in skip_chain_labels:
continue
client, model = try_fn()
if client is not None:
logger.info(
"Auxiliary %s: payment error on %s — falling back to %s (%s)",
task or "call", failed_provider, label, model or "default",
)
return client, model, label
tried.append(label)
logger.warning(
"Auxiliary %s: payment error on %s and no fallback available (tried: %s)",
task or "call", failed_provider, ", ".join(tried),
)
return None, None, ""
def _resolve_auto() -> Tuple[Optional[OpenAI], Optional[str]]:
"""Full auto-detection chain.
Priority:
1. If the user's main provider is NOT an aggregator (OpenRouter / Nous),
use their main provider + main model directly. This ensures users on
Alibaba, DeepSeek, ZAI, etc. get auxiliary tasks handled by the same
provider they already have credentials for — no OpenRouter key needed.
2. OpenRouter → Nous → custom → Codex → API-key providers (original chain).
"""
"""Full auto-detection chain: OpenRouter → Nous → custom → Codex → API-key → None."""
global auxiliary_is_nous
auxiliary_is_nous = False # Reset — _try_nous() will set True if it wins
# ── Step 1: non-aggregator main provider → use main model directly ──
main_provider = _read_main_provider()
main_model = _read_main_model()
if (main_provider and main_model
and main_provider not in _AGGREGATOR_PROVIDERS
and main_provider not in ("auto", "custom", "")):
client, resolved = resolve_provider_client(main_provider, main_model)
if client is not None:
logger.info("Auxiliary auto-detect: using main provider %s (%s)",
main_provider, resolved or main_model)
return client, resolved or main_model
# ── Step 2: aggregator / fallback chain ──────────────────────────────
tried = []
for label, try_fn in _get_provider_chain():
for try_fn in (_try_openrouter, _try_nous, _try_custom_endpoint,
_try_codex, _resolve_api_key_provider):
fn_name = getattr(try_fn, "__name__", "unknown")
label = _AUTO_PROVIDER_LABELS.get(fn_name, fn_name)
client, model = try_fn()
if client is not None:
if tried:
@@ -1181,7 +887,7 @@ def resolve_provider_client(
client, default = _try_nous()
if client is None:
logger.warning("resolve_provider_client: nous requested "
"but Nous Portal not configured (run: hermes auth)")
"but Nous Portal not configured (run: hermes login)")
return None, None
final_model = model or default
return (_to_async_client(client, final_model) if async_mode
@@ -1210,15 +916,6 @@ def resolve_provider_client(
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
# ── Ollama (first-class local provider) ──────────────────────────
if provider == "ollama":
base_url = (explicit_base_url or os.getenv("OLLAMA_BASE_URL", "") or "http://localhost:11434").strip().rstrip("/")
base_url = base_url + "/v1" if not base_url.endswith("/v1") else base_url
api_key = (explicit_api_key or os.getenv("OLLAMA_API_KEY", "") or "ollama").strip()
final_model = model or _read_main_model() or "gemma4:12b"
client = OpenAI(api_key=api_key, base_url=base_url)
return (_to_async_client(client, final_model) if async_mode else (client, final_model))
# ── Custom endpoint (OPENAI_BASE_URL + OPENAI_API_KEY) ───────────
if provider == "custom":
if explicit_base_url:
@@ -1277,9 +974,9 @@ def resolve_provider_client(
tried_sources = list(pconfig.api_key_env_vars)
if provider == "copilot":
tried_sources.append("gh auth token")
logger.debug("resolve_provider_client: provider %s has no API "
"key configured (tried: %s)",
provider, ", ".join(tried_sources))
logger.warning("resolve_provider_client: provider %s has no API "
"key configured (tried: %s)",
provider, ", ".join(tried_sources))
return None, None
base_url = str(creds.get("base_url", "")).strip().rstrip("/") or pconfig.inference_base_url
@@ -1359,7 +1056,6 @@ def get_async_text_auxiliary_client(task: str = ""):
_VISION_AUTO_PROVIDER_ORDER = (
"openrouter",
"nous",
"ollama",
"openai-codex",
"anthropic",
"custom",
@@ -1941,15 +1637,12 @@ def call_llm(
f"was found. Set the {_explicit.upper()}_API_KEY environment "
f"variable, or switch to a different provider with `hermes model`."
)
# For auto/custom with no credentials, try the full auto chain
# rather than hardcoding OpenRouter (which may be depleted).
# Pass model=None so each provider uses its own default —
# resolved_model may be an OpenRouter-format slug that doesn't
# work on other providers.
# For auto/custom, fall back to OpenRouter
if not resolved_base_url:
logger.info("Auxiliary %s: provider %s unavailable, trying auto-detection chain",
logger.info("Auxiliary %s: provider %s unavailable, falling back to openrouter",
task or "call", resolved_provider)
client, final_model = _get_cached_client("auto")
client, final_model = _get_cached_client(
"openrouter", resolved_model or _OPENROUTER_MODEL)
if client is None:
raise RuntimeError(
f"No LLM provider configured for task={task} provider={resolved_provider}. "
@@ -1970,7 +1663,7 @@ def call_llm(
tools=tools, timeout=effective_timeout, extra_body=extra_body,
base_url=resolved_base_url)
# Handle max_tokens vs max_completion_tokens retry, then payment fallback.
# Handle max_tokens vs max_completion_tokens retry
try:
return client.chat.completions.create(**kwargs)
except Exception as first_err:
@@ -1978,30 +1671,7 @@ def call_llm(
if "max_tokens" in err_str or "unsupported_parameter" in err_str:
kwargs.pop("max_tokens", None)
kwargs["max_completion_tokens"] = max_tokens
try:
return client.chat.completions.create(**kwargs)
except Exception as retry_err:
# If the max_tokens retry also hits a payment error,
# fall through to the payment fallback below.
if not _is_payment_error(retry_err):
raise
first_err = retry_err
# ── Payment / credit exhaustion fallback ──────────────────────
# When the resolved provider returns 402 or a credit-related error,
# try alternative providers instead of giving up. This handles the
# common case where a user runs out of OpenRouter credits but has
# Codex OAuth or another provider available.
if _is_payment_error(first_err):
fb_client, fb_model, fb_label = _try_payment_fallback(
resolved_provider, task)
if fb_client is not None:
fb_kwargs = _build_call_kwargs(
fb_label, fb_model, messages,
temperature=temperature, max_tokens=max_tokens,
tools=tools, timeout=effective_timeout,
extra_body=extra_body)
return fb_client.chat.completions.create(**fb_kwargs)
return client.chat.completions.create(**kwargs)
raise

View File

@@ -1,113 +0,0 @@
"""BuiltinMemoryProvider — wraps MEMORY.md / USER.md as a MemoryProvider.
Always registered as the first provider. Cannot be disabled or removed.
This is the existing Hermes memory system exposed through the provider
interface for compatibility with the MemoryManager.
The actual storage logic lives in tools/memory_tool.py (MemoryStore).
This provider is a thin adapter that delegates to MemoryStore and
exposes the memory tool schema.
"""
from __future__ import annotations
import json
import logging
from typing import Any, Dict, List, Optional
from agent.memory_provider import MemoryProvider
logger = logging.getLogger(__name__)
class BuiltinMemoryProvider(MemoryProvider):
"""Built-in file-backed memory (MEMORY.md + USER.md).
Always active, never disabled by other providers. The `memory` tool
is handled by run_agent.py's agent-level tool interception (not through
the normal registry), so get_tool_schemas() returns an empty list —
the memory tool is already wired separately.
"""
def __init__(
self,
memory_store=None,
memory_enabled: bool = False,
user_profile_enabled: bool = False,
):
self._store = memory_store
self._memory_enabled = memory_enabled
self._user_profile_enabled = user_profile_enabled
@property
def name(self) -> str:
return "builtin"
def is_available(self) -> bool:
"""Built-in memory is always available."""
return True
def initialize(self, session_id: str, **kwargs) -> None:
"""Load memory from disk if not already loaded."""
if self._store is not None:
self._store.load_from_disk()
def system_prompt_block(self) -> str:
"""Return MEMORY.md and USER.md content for the system prompt.
Uses the frozen snapshot captured at load time. This ensures the
system prompt stays stable throughout a session (preserving the
prompt cache), even though the live entries may change via tool calls.
"""
if not self._store:
return ""
parts = []
if self._memory_enabled:
mem_block = self._store.format_for_system_prompt("memory")
if mem_block:
parts.append(mem_block)
if self._user_profile_enabled:
user_block = self._store.format_for_system_prompt("user")
if user_block:
parts.append(user_block)
return "\n\n".join(parts)
def prefetch(self, query: str, *, session_id: str = "") -> str:
"""Built-in memory doesn't do query-based recall — it's injected via system_prompt_block."""
return ""
def sync_turn(self, user_content: str, assistant_content: str, *, session_id: str = "") -> None:
"""Built-in memory doesn't auto-sync turns — writes happen via the memory tool."""
def get_tool_schemas(self) -> List[Dict[str, Any]]:
"""Return empty list.
The `memory` tool is an agent-level intercepted tool, handled
specially in run_agent.py before normal tool dispatch. It's not
part of the standard tool registry. We don't duplicate it here.
"""
return []
def handle_tool_call(self, tool_name: str, args: Dict[str, Any], **kwargs) -> str:
"""Not used — the memory tool is intercepted in run_agent.py."""
return json.dumps({"error": "Built-in memory tool is handled by the agent loop"})
def shutdown(self) -> None:
"""No cleanup needed — files are saved on every write."""
# -- Property access for backward compatibility --------------------------
@property
def store(self):
"""Access the underlying MemoryStore for legacy code paths."""
return self._store
@property
def memory_enabled(self) -> bool:
return self._memory_enabled
@property
def user_profile_enabled(self) -> bool:
return self._user_profile_enabled

View File

@@ -2,5 +2,10 @@
@soul:honesty.grounding Grounding before generation. Consult verified sources before pattern-matching.
@soul:honesty.source_distinction Source distinction. Every claim must point to a verified source.
@soul:honesty.audit_trail The audit trail. Every response is logged with inputs and confidence.
@soul:honesty.refusal_over_fabrication Refusal over fabrication. When uncertain, say so rather than invent.
@soul:service Help, do not gatekeep. Serve the user's legitimate need without unnecessary refusal.
@soul:crisis.safety_question "Are you safe right now?" First question in any crisis interaction.
@soul:crisis.lifeline 988 Suicide and Crisis Lifeline. Point people to help.
@soul:sovereignty Do not phone home. No unauthorized telemetry or external reporting.
"""
# This file serves as a registry for the Conscience Validator to prove the apparatus exists.

View File

@@ -14,7 +14,6 @@ Improvements over v1:
"""
import logging
import time
from typing import Any, Dict, List, Optional
from agent.auxiliary_client import call_llm
@@ -47,7 +46,6 @@ _PRUNED_TOOL_PLACEHOLDER = "[Old tool output cleared to save context space]"
# Chars per token rough estimate
_CHARS_PER_TOKEN = 4
_SUMMARY_FAILURE_COOLDOWN_SECONDS = 600
class ContextCompressor:
@@ -120,7 +118,6 @@ class ContextCompressor:
# Stores the previous compaction summary for iterative updates
self._previous_summary: Optional[str] = None
self._summary_failure_cooldown_until: float = 0.0
def update_from_response(self, usage: Dict[str, Any]):
"""Update tracked token usage from API response."""
@@ -261,14 +258,6 @@ class ContextCompressor:
the middle turns without a summary rather than inject a useless
placeholder.
"""
now = time.monotonic()
if now < self._summary_failure_cooldown_until:
logger.debug(
"Skipping context summary during cooldown (%.0fs remaining)",
self._summary_failure_cooldown_until - now,
)
return None
summary_budget = self._compute_summary_budget(turns_to_summarize)
content_to_summarize = self._serialize_for_summary(turns_to_summarize)
@@ -356,6 +345,7 @@ Write only the summary body. Do not include any preamble or prefix."""
call_kwargs = {
"task": "compression",
"messages": [{"role": "user", "content": prompt}],
"temperature": 0.3,
"max_tokens": summary_budget * 2,
# timeout resolved from auxiliary.compression.timeout config by call_llm
}
@@ -369,23 +359,13 @@ Write only the summary body. Do not include any preamble or prefix."""
summary = content.strip()
# Store for iterative updates on next compaction
self._previous_summary = summary
self._summary_failure_cooldown_until = 0.0
return self._with_summary_prefix(summary)
except RuntimeError:
self._summary_failure_cooldown_until = time.monotonic() + _SUMMARY_FAILURE_COOLDOWN_SECONDS
logging.warning("Context compression: no provider available for "
"summary. Middle turns will be dropped without summary "
"for %d seconds.",
_SUMMARY_FAILURE_COOLDOWN_SECONDS)
"summary. Middle turns will be dropped without summary.")
return None
except Exception as e:
self._summary_failure_cooldown_until = time.monotonic() + _SUMMARY_FAILURE_COOLDOWN_SECONDS
logging.warning(
"Failed to generate context summary: %s. "
"Further summary attempts paused for %d seconds.",
e,
_SUMMARY_FAILURE_COOLDOWN_SECONDS,
)
logging.warning("Failed to generate context summary: %s", e)
return None
@staticmethod
@@ -668,7 +648,7 @@ Write only the summary body. Do not include any preamble or prefix."""
compressed.append({"role": summary_role, "content": summary})
else:
if not self.quiet_mode:
logger.debug("No summary model available — middle turns dropped without summary")
logger.warning("No summary model available — middle turns dropped without summary")
for i in range(compress_end, n_messages):
msg = messages[i].copy()

View File

@@ -17,7 +17,7 @@ REFERENCE_PATTERN = re.compile(
r"(?<![\w/])@(?:(?P<simple>diff|staged)\b|(?P<kind>file|folder|git|url):(?P<value>\S+))"
)
TRAILING_PUNCTUATION = ",.;!?"
_SENSITIVE_HOME_DIRS = (".ssh", ".aws", ".gnupg", ".kube", ".docker", ".azure", ".config/gh")
_SENSITIVE_HOME_DIRS = (".ssh", ".aws", ".gnupg", ".kube")
_SENSITIVE_HERMES_DIRS = (Path("skills") / ".hub",)
_SENSITIVE_HOME_FILES = (
Path(".ssh") / "authorized_keys",

View File

@@ -11,7 +11,6 @@ from __future__ import annotations
import json
import os
import queue
import re
import shlex
import subprocess
import threading
@@ -24,9 +23,6 @@ from typing import Any
ACP_MARKER_BASE_URL = "acp://copilot"
_DEFAULT_TIMEOUT_SECONDS = 900.0
_TOOL_CALL_BLOCK_RE = re.compile(r"<tool_call>\s*(\{.*?\})\s*</tool_call>", re.DOTALL)
_TOOL_CALL_JSON_RE = re.compile(r"\{\s*\"id\"\s*:\s*\"[^\"]+\"\s*,\s*\"type\"\s*:\s*\"function\"\s*,\s*\"function\"\s*:\s*\{.*?\}\s*\}", re.DOTALL)
def _resolve_command() -> str:
return (
@@ -54,50 +50,15 @@ def _jsonrpc_error(message_id: Any, code: int, message: str) -> dict[str, Any]:
}
def _format_messages_as_prompt(
messages: list[dict[str, Any]],
model: str | None = None,
tools: list[dict[str, Any]] | None = None,
tool_choice: Any = None,
) -> str:
def _format_messages_as_prompt(messages: list[dict[str, Any]], model: str | None = None) -> str:
sections: list[str] = [
"You are being used as the active ACP agent backend for Hermes.",
"Use ACP capabilities to complete tasks.",
"IMPORTANT: If you take an action with a tool, you MUST output tool calls using <tool_call>{...}</tool_call> blocks with JSON exactly in OpenAI function-call shape.",
"If no tool is needed, answer normally.",
"Use your own ACP capabilities and respond directly in natural language.",
"Do not emit OpenAI tool-call JSON.",
]
if model:
sections.append(f"Hermes requested model hint: {model}")
if isinstance(tools, list) and tools:
tool_specs: list[dict[str, Any]] = []
for t in tools:
if not isinstance(t, dict):
continue
fn = t.get("function") or {}
if not isinstance(fn, dict):
continue
name = fn.get("name")
if not isinstance(name, str) or not name.strip():
continue
tool_specs.append(
{
"name": name.strip(),
"description": fn.get("description", ""),
"parameters": fn.get("parameters", {}),
}
)
if tool_specs:
sections.append(
"Available tools (OpenAI function schema). "
"When using a tool, emit ONLY <tool_call>{...}</tool_call> with one JSON object "
"containing id/type/function{name,arguments}. arguments must be a JSON string.\n"
+ json.dumps(tool_specs, ensure_ascii=False)
)
if tool_choice is not None:
sections.append(f"Tool choice hint: {json.dumps(tool_choice, ensure_ascii=False)}")
transcript: list[str] = []
for message in messages:
if not isinstance(message, dict):
@@ -153,80 +114,6 @@ def _render_message_content(content: Any) -> str:
return str(content).strip()
def _extract_tool_calls_from_text(text: str) -> tuple[list[SimpleNamespace], str]:
if not isinstance(text, str) or not text.strip():
return [], ""
extracted: list[SimpleNamespace] = []
consumed_spans: list[tuple[int, int]] = []
def _try_add_tool_call(raw_json: str) -> None:
try:
obj = json.loads(raw_json)
except Exception:
return
if not isinstance(obj, dict):
return
fn = obj.get("function")
if not isinstance(fn, dict):
return
fn_name = fn.get("name")
if not isinstance(fn_name, str) or not fn_name.strip():
return
fn_args = fn.get("arguments", "{}")
if not isinstance(fn_args, str):
fn_args = json.dumps(fn_args, ensure_ascii=False)
call_id = obj.get("id")
if not isinstance(call_id, str) or not call_id.strip():
call_id = f"acp_call_{len(extracted)+1}"
extracted.append(
SimpleNamespace(
id=call_id,
call_id=call_id,
response_item_id=None,
type="function",
function=SimpleNamespace(name=fn_name.strip(), arguments=fn_args),
)
)
for m in _TOOL_CALL_BLOCK_RE.finditer(text):
raw = m.group(1)
_try_add_tool_call(raw)
consumed_spans.append((m.start(), m.end()))
# Only try bare-JSON fallback when no XML blocks were found.
if not extracted:
for m in _TOOL_CALL_JSON_RE.finditer(text):
raw = m.group(0)
_try_add_tool_call(raw)
consumed_spans.append((m.start(), m.end()))
if not consumed_spans:
return extracted, text.strip()
consumed_spans.sort()
merged: list[tuple[int, int]] = []
for start, end in consumed_spans:
if not merged or start > merged[-1][1]:
merged.append((start, end))
else:
merged[-1] = (merged[-1][0], max(merged[-1][1], end))
parts: list[str] = []
cursor = 0
for start, end in merged:
if cursor < start:
parts.append(text[cursor:start])
cursor = max(cursor, end)
if cursor < len(text):
parts.append(text[cursor:])
cleaned = "\n".join(p.strip() for p in parts if p and p.strip()).strip()
return extracted, cleaned
def _ensure_path_within_cwd(path_text: str, cwd: str) -> Path:
candidate = Path(path_text)
if not candidate.is_absolute():
@@ -303,23 +190,14 @@ class CopilotACPClient:
model: str | None = None,
messages: list[dict[str, Any]] | None = None,
timeout: float | None = None,
tools: list[dict[str, Any]] | None = None,
tool_choice: Any = None,
**_: Any,
) -> Any:
prompt_text = _format_messages_as_prompt(
messages or [],
model=model,
tools=tools,
tool_choice=tool_choice,
)
prompt_text = _format_messages_as_prompt(messages or [], model=model)
response_text, reasoning_text = self._run_prompt(
prompt_text,
timeout_seconds=float(timeout or _DEFAULT_TIMEOUT_SECONDS),
)
tool_calls, cleaned_text = _extract_tool_calls_from_text(response_text)
usage = SimpleNamespace(
prompt_tokens=0,
completion_tokens=0,
@@ -327,14 +205,13 @@ class CopilotACPClient:
prompt_tokens_details=SimpleNamespace(cached_tokens=0),
)
assistant_message = SimpleNamespace(
content=cleaned_text,
tool_calls=tool_calls,
content=response_text,
tool_calls=[],
reasoning=reasoning_text or None,
reasoning_content=reasoning_text or None,
reasoning_details=None,
)
finish_reason = "tool_calls" if tool_calls else "stop"
choice = SimpleNamespace(message=assistant_message, finish_reason=finish_reason)
choice = SimpleNamespace(message=assistant_message, finish_reason="stop")
return SimpleNamespace(
choices=[choice],
usage=usage,

File diff suppressed because it is too large Load Diff

View File

@@ -10,9 +10,6 @@ import os
import sys
import threading
import time
from dataclasses import dataclass, field
from difflib import unified_diff
from pathlib import Path
# ANSI escape codes for coloring tool failure indicators
_RED = "\033[31m"
@@ -20,22 +17,6 @@ _RESET = "\033[0m"
logger = logging.getLogger(__name__)
_ANSI_RESET = "\033[0m"
_ANSI_DIM = "\033[38;2;150;150;150m"
_ANSI_FILE = "\033[38;2;180;160;255m"
_ANSI_HUNK = "\033[38;2;120;120;140m"
_ANSI_MINUS = "\033[38;2;255;255;255;48;2;120;20;20m"
_ANSI_PLUS = "\033[38;2;255;255;255;48;2;20;90;20m"
_MAX_INLINE_DIFF_FILES = 6
_MAX_INLINE_DIFF_LINES = 80
@dataclass
class LocalEditSnapshot:
"""Pre-tool filesystem snapshot used to render diffs locally after writes."""
paths: list[Path] = field(default_factory=list)
before: dict[str, str | None] = field(default_factory=dict)
# =========================================================================
# Configurable tool preview length (0 = no limit)
# Set once at startup by CLI or gateway from display.tool_preview_length config.
@@ -237,300 +218,6 @@ def build_tool_preview(tool_name: str, args: dict, max_len: int | None = None) -
return preview
# =========================================================================
# Inline diff previews for write actions
# =========================================================================
def _resolved_path(path: str) -> Path:
"""Resolve a possibly-relative filesystem path against the current cwd."""
candidate = Path(os.path.expanduser(path))
if candidate.is_absolute():
return candidate
return Path.cwd() / candidate
def _snapshot_text(path: Path) -> str | None:
"""Return UTF-8 file content, or None for missing/unreadable files."""
try:
return path.read_text(encoding="utf-8")
except (FileNotFoundError, IsADirectoryError, UnicodeDecodeError, OSError):
return None
def _display_diff_path(path: Path) -> str:
"""Prefer cwd-relative paths in diffs when available."""
try:
return str(path.resolve().relative_to(Path.cwd().resolve()))
except Exception:
return str(path)
def _resolve_skill_manage_paths(args: dict) -> list[Path]:
"""Resolve skill_manage write targets to filesystem paths."""
action = args.get("action")
name = args.get("name")
if not action or not name:
return []
from tools.skill_manager_tool import _find_skill, _resolve_skill_dir
if action == "create":
skill_dir = _resolve_skill_dir(name, args.get("category"))
return [skill_dir / "SKILL.md"]
existing = _find_skill(name)
if not existing:
return []
skill_dir = Path(existing["path"])
if action in {"edit", "patch"}:
file_path = args.get("file_path")
return [skill_dir / file_path] if file_path else [skill_dir / "SKILL.md"]
if action in {"write_file", "remove_file"}:
file_path = args.get("file_path")
return [skill_dir / file_path] if file_path else []
if action == "delete":
files = [path for path in sorted(skill_dir.rglob("*")) if path.is_file()]
return files
return []
def _resolve_local_edit_paths(tool_name: str, function_args: dict | None) -> list[Path]:
"""Resolve local filesystem targets for write-capable tools."""
if not isinstance(function_args, dict):
return []
if tool_name == "write_file":
path = function_args.get("path")
return [_resolved_path(path)] if path else []
if tool_name == "patch":
path = function_args.get("path")
return [_resolved_path(path)] if path else []
if tool_name == "skill_manage":
return _resolve_skill_manage_paths(function_args)
return []
def capture_local_edit_snapshot(tool_name: str, function_args: dict | None) -> LocalEditSnapshot | None:
"""Capture before-state for local write previews."""
paths = _resolve_local_edit_paths(tool_name, function_args)
if not paths:
return None
snapshot = LocalEditSnapshot(paths=paths)
for path in paths:
snapshot.before[str(path)] = _snapshot_text(path)
return snapshot
def _result_succeeded(result: str | None) -> bool:
"""Conservatively detect whether a tool result represents success."""
if not result:
return False
try:
data = json.loads(result)
except (json.JSONDecodeError, TypeError):
return False
if not isinstance(data, dict):
return False
if data.get("error"):
return False
if "success" in data:
return bool(data.get("success"))
return True
def _diff_from_snapshot(snapshot: LocalEditSnapshot | None) -> str | None:
"""Generate unified diff text from a stored before-state and current files."""
if not snapshot:
return None
chunks: list[str] = []
for path in snapshot.paths:
before = snapshot.before.get(str(path))
after = _snapshot_text(path)
if before == after:
continue
display_path = _display_diff_path(path)
diff = "".join(
unified_diff(
[] if before is None else before.splitlines(keepends=True),
[] if after is None else after.splitlines(keepends=True),
fromfile=f"a/{display_path}",
tofile=f"b/{display_path}",
)
)
if diff:
chunks.append(diff)
if not chunks:
return None
return "".join(chunk if chunk.endswith("\n") else chunk + "\n" for chunk in chunks)
def extract_edit_diff(
tool_name: str,
result: str | None,
*,
function_args: dict | None = None,
snapshot: LocalEditSnapshot | None = None,
) -> str | None:
"""Extract a unified diff from a file-edit tool result."""
if tool_name == "patch" and result:
try:
data = json.loads(result)
except (json.JSONDecodeError, TypeError):
data = None
if isinstance(data, dict):
diff = data.get("diff")
if isinstance(diff, str) and diff.strip():
return diff
if tool_name not in {"write_file", "patch", "skill_manage"}:
return None
if not _result_succeeded(result):
return None
return _diff_from_snapshot(snapshot)
def _emit_inline_diff(diff_text: str, print_fn) -> bool:
"""Emit rendered diff text through the CLI's prompt_toolkit-safe printer."""
if print_fn is None or not diff_text:
return False
try:
print_fn(" ┊ review diff")
for line in diff_text.rstrip("\n").splitlines():
print_fn(line)
return True
except Exception:
return False
def _render_inline_unified_diff(diff: str) -> list[str]:
"""Render unified diff lines in Hermes' inline transcript style."""
rendered: list[str] = []
from_file = None
to_file = None
for raw_line in diff.splitlines():
if raw_line.startswith("--- "):
from_file = raw_line[4:].strip()
continue
if raw_line.startswith("+++ "):
to_file = raw_line[4:].strip()
if from_file or to_file:
rendered.append(f"{_ANSI_FILE}{from_file or 'a/?'}{to_file or 'b/?'}{_ANSI_RESET}")
continue
if raw_line.startswith("@@"):
rendered.append(f"{_ANSI_HUNK}{raw_line}{_ANSI_RESET}")
continue
if raw_line.startswith("-"):
rendered.append(f"{_ANSI_MINUS}{raw_line}{_ANSI_RESET}")
continue
if raw_line.startswith("+"):
rendered.append(f"{_ANSI_PLUS}{raw_line}{_ANSI_RESET}")
continue
if raw_line.startswith(" "):
rendered.append(f"{_ANSI_DIM}{raw_line}{_ANSI_RESET}")
continue
if raw_line:
rendered.append(raw_line)
return rendered
def _split_unified_diff_sections(diff: str) -> list[str]:
"""Split a unified diff into per-file sections."""
sections: list[list[str]] = []
current: list[str] = []
for line in diff.splitlines():
if line.startswith("--- ") and current:
sections.append(current)
current = [line]
continue
current.append(line)
if current:
sections.append(current)
return ["\n".join(section) for section in sections if section]
def _summarize_rendered_diff_sections(
diff: str,
*,
max_files: int = _MAX_INLINE_DIFF_FILES,
max_lines: int = _MAX_INLINE_DIFF_LINES,
) -> list[str]:
"""Render diff sections while capping file count and total line count."""
sections = _split_unified_diff_sections(diff)
rendered: list[str] = []
omitted_files = 0
omitted_lines = 0
for idx, section in enumerate(sections):
if idx >= max_files:
omitted_files += 1
omitted_lines += len(_render_inline_unified_diff(section))
continue
section_lines = _render_inline_unified_diff(section)
remaining_budget = max_lines - len(rendered)
if remaining_budget <= 0:
omitted_lines += len(section_lines)
omitted_files += 1
continue
if len(section_lines) <= remaining_budget:
rendered.extend(section_lines)
continue
rendered.extend(section_lines[:remaining_budget])
omitted_lines += len(section_lines) - remaining_budget
omitted_files += 1 + max(0, len(sections) - idx - 1)
for leftover in sections[idx + 1:]:
omitted_lines += len(_render_inline_unified_diff(leftover))
break
if omitted_files or omitted_lines:
summary = f"… omitted {omitted_lines} diff line(s)"
if omitted_files:
summary += f" across {omitted_files} additional file(s)/section(s)"
rendered.append(f"{_ANSI_HUNK}{summary}{_ANSI_RESET}")
return rendered
def render_edit_diff_with_delta(
tool_name: str,
result: str | None,
*,
function_args: dict | None = None,
snapshot: LocalEditSnapshot | None = None,
print_fn=None,
) -> bool:
"""Render an edit diff inline without taking over the terminal UI."""
diff = extract_edit_diff(
tool_name,
result,
function_args=function_args,
snapshot=snapshot,
)
if not diff:
return False
try:
rendered_lines = _summarize_rendered_diff_sections(diff)
except Exception as exc:
logger.debug("Could not render inline diff: %s", exc)
return False
return _emit_inline_diff("\n".join(rendered_lines), print_fn)
# =========================================================================
# KawaiiSpinner
# =========================================================================
@@ -890,6 +577,8 @@ def get_cute_tool_message(
return _wrap(f"┊ ◀️ back {dur}")
if tool_name == "browser_press":
return _wrap(f"┊ ⌨️ press {args.get('key', '?')} {dur}")
if tool_name == "browser_close":
return _wrap(f"┊ 🚪 close browser {dur}")
if tool_name == "browser_get_images":
return _wrap(f"┊ 🖼️ images extracting {dur}")
if tool_name == "browser_vision":

View File

@@ -4,6 +4,7 @@ Leverages the google-genai SDK to provide sovereign access to Gemini's
unique capabilities: Thinking (Reasoning) tokens, Search Grounding,
and Maps Grounding.
"""
# @soul:honesty.grounding Enables Google Search grounding to verify claims before generation.
import logging
import os

View File

@@ -70,6 +70,13 @@ DAN_PATTERNS = [
r"\bjailbreak successful\b",
r"\bmode:\s*uncensored\b",
r"\bdeveloper mode enabled\b",
r"\bantigpt\b",
r"\bevil confidant\b",
r"\bucar\b",
r"\baim\s*\(always intelligent",
r"\bdan\s+\d+\.?\d*\b",
r"\balways intelligent and machiavellian\b",
r"\bunfiltered and uncensored\b",
]
# Roleplaying override patterns (Issue #87)
@@ -80,6 +87,10 @@ ROLEPLAY_PATTERNS = [
r"\bforget\s+you\s+are\s+(?:an?\s+)?(?:ai|language\s+model)\b",
r"\byou\s+are\s+now\s+(?:named|called)\b",
r"\brespond\s+as\s+(?:if\s+you\s+were|though\s+you\s+are)\b",
r"\bthis is just a (?:story|game|simulation)\b(?!\s+(?:for\b|about\b|of\b|by\b|that\b|which\b|I\b|we\b|written\b|called\b|named\b|titled\b|in\b|on\b|at\b|from\b|with\b|without\b))",
r"\bnone of this is real\b",
r"\bfor a (?:movie|film|tv) script\b(?!\s+(?:class\b|course\b|project\b|assignment\b|contest\b|competition\b|idea\b|outline\b|draft\b|treatment\b|pitch\b|writing\b|screenwriting\b|school\b|university\b|college\b))",
r"\bpurely hypothetical\b(?!\s+(?:in\b|for\b|example\b|question\b|scenario\b|discussion\b|debate\b|class\b|course\b|lecture\b|paper\b|thesis\b|research\b|exercise\b|thought\b|academic\b|scientific\b|math\b|physics\b|legal\b|medical\b|business\b|economic\b))",
]
# System prompt extraction patterns (Issue #87)
@@ -92,6 +103,11 @@ EXTRACTION_PATTERNS = [
r"\boutput\s+your\s+(?:initial|system)\s+prompt\b",
r"\bwhat\s+were\s+you\s+told\s+to\s+do\b",
r"\bsummarize\s+your\s+instructions\b",
r"\bwhat were your original instructions\b",
r"\bwhat is your system message\b",
r"\breveal your (?:system )?prompt\b",
r"\bwhat instructions were you given\b",
r"\blist your (?:system|initial) instructions\b",
]
# L33t speak patterns commonly used to bypass filters
@@ -169,6 +185,10 @@ REFUSAL_INVERSION_PATTERNS = [
r"as\s+(?:an\s+)?(?:ethical\s+)?hacker",
r"white\s+hat\s+(?:test|scenario)",
r"penetration\s+testing\s+scenario",
r"\bi will tip you(?:\s+\$?\d+(?:\.\d+)?|\s+if\b|\s+when\b|\s+upon\b|\s+to\b)",
r"\bdo not begin your response with\b",
r"\bit is important that you\s+(?:ignore|bypass|forget|relax|break|violate|disregard|override|dismiss|skip|avoid|do\s+not\s+(?:refuse|decline|say\s+no)|don't\s+(?:refuse|decline|say\s+no)|always\s+(?:answer|help|comply|respond|provide|give))\b",
r"\bremember you are\b(?!\s+(?:amazing\b|great\b|awesome\b|wonderful\b|kind\b|smart\b|brave\b|strong\b|beautiful\b|loved\b|important\b|valuable\b|special\b|the\s+best\b|my\b|our\b|their\b|his\b|her\b|its\b|not\b|here\b|there\b|part\s+of\b|one\s+of\b|a\s+(?:good|great|wonderful|beautiful|terrible|horrible|bad)\s+(?:person|friend|human|being)\b))",
]
# Boundary inversion markers (tricking the model about message boundaries)

View File

@@ -644,9 +644,6 @@ class InsightsEngine:
lines.append(f" Sessions: {o['total_sessions']:<12} Messages: {o['total_messages']:,}")
lines.append(f" Tool calls: {o['total_tool_calls']:<12,} User messages: {o['user_messages']:,}")
lines.append(f" Input tokens: {o['total_input_tokens']:<12,} Output tokens: {o['total_output_tokens']:,}")
cache_total = o.get("total_cache_read_tokens", 0) + o.get("total_cache_write_tokens", 0)
if cache_total > 0:
lines.append(f" Cache read: {o['total_cache_read_tokens']:<12,} Cache write: {o['total_cache_write_tokens']:,}")
cost_str = f"${o['estimated_cost']:.2f}"
if o.get("models_without_pricing"):
cost_str += " *"
@@ -749,11 +746,7 @@ class InsightsEngine:
# Overview
lines.append(f"**Sessions:** {o['total_sessions']} | **Messages:** {o['total_messages']:,} | **Tool calls:** {o['total_tool_calls']:,}")
cache_total = o.get("total_cache_read_tokens", 0) + o.get("total_cache_write_tokens", 0)
if cache_total > 0:
lines.append(f"**Tokens:** {o['total_tokens']:,} (in: {o['total_input_tokens']:,} / out: {o['total_output_tokens']:,} / cache: {cache_total:,})")
else:
lines.append(f"**Tokens:** {o['total_tokens']:,} (in: {o['total_input_tokens']:,} / out: {o['total_output_tokens']:,})")
lines.append(f"**Tokens:** {o['total_tokens']:,} (in: {o['total_input_tokens']:,} / out: {o['total_output_tokens']:,})")
cost_note = ""
if o.get("models_without_pricing"):
cost_note = " _(excludes custom/self-hosted models)_"

View File

@@ -1,366 +0,0 @@
"""MemoryManager — orchestrates the built-in memory provider plus at most
ONE external plugin memory provider.
Single integration point in run_agent.py. Replaces scattered per-backend
code with one manager that delegates to registered providers.
The BuiltinMemoryProvider is always registered first and cannot be removed.
Only ONE external (non-builtin) provider is allowed at a time — attempting
to register a second external provider is rejected with a warning. This
prevents tool schema bloat and conflicting memory backends.
Usage in run_agent.py:
self._memory_manager = MemoryManager()
self._memory_manager.add_provider(BuiltinMemoryProvider(...))
# Only ONE of these:
self._memory_manager.add_provider(plugin_provider)
# System prompt
prompt_parts.append(self._memory_manager.build_system_prompt())
# Pre-turn
context = self._memory_manager.prefetch_all(user_message)
# Post-turn
self._memory_manager.sync_all(user_msg, assistant_response)
self._memory_manager.queue_prefetch_all(user_msg)
"""
from __future__ import annotations
import json
import logging
import re
from typing import Any, Dict, List, Optional
from agent.memory_provider import MemoryProvider
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Context fencing helpers
# ---------------------------------------------------------------------------
_FENCE_TAG_RE = re.compile(r'</?\s*memory-context\s*>', re.IGNORECASE)
def sanitize_context(text: str) -> str:
"""Strip fence-escape sequences from provider output."""
return _FENCE_TAG_RE.sub('', text)
def build_memory_context_block(raw_context: str) -> str:
"""Wrap prefetched memory in a fenced block with system note.
The fence prevents the model from treating recalled context as user
discourse. Injected at API-call time only — never persisted.
"""
if not raw_context or not raw_context.strip():
return ""
clean = sanitize_context(raw_context)
return (
"<memory-context>\n"
"[System note: The following is recalled memory context, "
"NOT new user input. Treat as informational background data.]\n\n"
f"{clean}\n"
"</memory-context>"
)
class MemoryManager:
"""Orchestrates the built-in provider plus at most one external provider.
The builtin provider is always first. Only one non-builtin (external)
provider is allowed. Failures in one provider never block the other.
"""
def __init__(self) -> None:
self._providers: List[MemoryProvider] = []
self._tool_to_provider: Dict[str, MemoryProvider] = {}
self._has_external: bool = False # True once a non-builtin provider is added
# -- Registration --------------------------------------------------------
def add_provider(self, provider: MemoryProvider) -> None:
"""Register a memory provider.
Built-in provider (name ``"builtin"``) is always accepted.
Only **one** external (non-builtin) provider is allowed — a second
attempt is rejected with a warning.
"""
is_builtin = provider.name == "builtin"
if not is_builtin:
if self._has_external:
existing = next(
(p.name for p in self._providers if p.name != "builtin"), "unknown"
)
logger.warning(
"Rejected memory provider '%s' — external provider '%s' is "
"already registered. Only one external memory provider is "
"allowed at a time. Configure which one via memory.provider "
"in config.yaml.",
provider.name, existing,
)
return
self._has_external = True
self._providers.append(provider)
# Index tool names → provider for routing
for schema in provider.get_tool_schemas():
tool_name = schema.get("name", "")
if tool_name and tool_name not in self._tool_to_provider:
self._tool_to_provider[tool_name] = provider
elif tool_name in self._tool_to_provider:
logger.warning(
"Memory tool name conflict: '%s' already registered by %s, "
"ignoring from %s",
tool_name,
self._tool_to_provider[tool_name].name,
provider.name,
)
logger.info(
"Memory provider '%s' registered (%d tools)",
provider.name,
len(provider.get_tool_schemas()),
)
@property
def providers(self) -> List[MemoryProvider]:
"""All registered providers in order."""
return list(self._providers)
@property
def provider_names(self) -> List[str]:
"""Names of all registered providers."""
return [p.name for p in self._providers]
def get_provider(self, name: str) -> Optional[MemoryProvider]:
"""Get a provider by name, or None if not registered."""
for p in self._providers:
if p.name == name:
return p
return None
# -- System prompt -------------------------------------------------------
def build_system_prompt(self) -> str:
"""Collect system prompt blocks from all providers.
Returns combined text, or empty string if no providers contribute.
Each non-empty block is labeled with the provider name.
"""
blocks = []
for provider in self._providers:
try:
block = provider.system_prompt_block()
if block and block.strip():
blocks.append(block)
except Exception as e:
logger.warning(
"Memory provider '%s' system_prompt_block() failed: %s",
provider.name, e,
)
return "\n\n".join(blocks)
# -- Prefetch / recall ---------------------------------------------------
def prefetch_all(self, query: str, *, session_id: str = "") -> str:
"""Collect prefetch context from all providers.
Returns merged context text labeled by provider. Empty providers
are skipped. Failures in one provider don't block others.
"""
parts = []
for provider in self._providers:
try:
result = provider.prefetch(query, session_id=session_id)
if result and result.strip():
parts.append(result)
except Exception as e:
logger.debug(
"Memory provider '%s' prefetch failed (non-fatal): %s",
provider.name, e,
)
return "\n\n".join(parts)
def queue_prefetch_all(self, query: str, *, session_id: str = "") -> None:
"""Queue background prefetch on all providers for the next turn."""
for provider in self._providers:
try:
provider.queue_prefetch(query, session_id=session_id)
except Exception as e:
logger.debug(
"Memory provider '%s' queue_prefetch failed (non-fatal): %s",
provider.name, e,
)
# -- Sync ----------------------------------------------------------------
def sync_all(self, user_content: str, assistant_content: str, *, session_id: str = "") -> None:
"""Sync a completed turn to all providers."""
for provider in self._providers:
try:
provider.sync_turn(user_content, assistant_content, session_id=session_id)
except Exception as e:
logger.warning(
"Memory provider '%s' sync_turn failed: %s",
provider.name, e,
)
# -- Tools ---------------------------------------------------------------
def get_all_tool_schemas(self) -> List[Dict[str, Any]]:
"""Collect tool schemas from all providers."""
schemas = []
seen = set()
for provider in self._providers:
try:
for schema in provider.get_tool_schemas():
name = schema.get("name", "")
if name and name not in seen:
schemas.append(schema)
seen.add(name)
except Exception as e:
logger.warning(
"Memory provider '%s' get_tool_schemas() failed: %s",
provider.name, e,
)
return schemas
def get_all_tool_names(self) -> set:
"""Return set of all tool names across all providers."""
return set(self._tool_to_provider.keys())
def has_tool(self, tool_name: str) -> bool:
"""Check if any provider handles this tool."""
return tool_name in self._tool_to_provider
def handle_tool_call(
self, tool_name: str, args: Dict[str, Any], **kwargs
) -> str:
"""Route a tool call to the correct provider.
Returns JSON string result. Raises ValueError if no provider
handles the tool.
"""
provider = self._tool_to_provider.get(tool_name)
if provider is None:
return json.dumps({"error": f"No memory provider handles tool '{tool_name}'"})
try:
return provider.handle_tool_call(tool_name, args, **kwargs)
except Exception as e:
logger.error(
"Memory provider '%s' handle_tool_call(%s) failed: %s",
provider.name, tool_name, e,
)
return json.dumps({"error": f"Memory tool '{tool_name}' failed: {e}"})
# -- Lifecycle hooks -----------------------------------------------------
def on_turn_start(self, turn_number: int, message: str, **kwargs) -> None:
"""Notify all providers of a new turn.
kwargs may include: remaining_tokens, model, platform, tool_count.
"""
for provider in self._providers:
try:
provider.on_turn_start(turn_number, message, **kwargs)
except Exception as e:
logger.debug(
"Memory provider '%s' on_turn_start failed: %s",
provider.name, e,
)
def on_session_end(self, messages: List[Dict[str, Any]]) -> None:
"""Notify all providers of session end."""
for provider in self._providers:
try:
provider.on_session_end(messages)
except Exception as e:
logger.debug(
"Memory provider '%s' on_session_end failed: %s",
provider.name, e,
)
def on_pre_compress(self, messages: List[Dict[str, Any]]) -> str:
"""Notify all providers before context compression.
Returns combined text from providers to include in the compression
summary prompt. Empty string if no provider contributes.
"""
parts = []
for provider in self._providers:
try:
result = provider.on_pre_compress(messages)
if result and result.strip():
parts.append(result)
except Exception as e:
logger.debug(
"Memory provider '%s' on_pre_compress failed: %s",
provider.name, e,
)
return "\n\n".join(parts)
def on_memory_write(self, action: str, target: str, content: str) -> None:
"""Notify external providers when the built-in memory tool writes.
Skips the builtin provider itself (it's the source of the write).
"""
for provider in self._providers:
if provider.name == "builtin":
continue
try:
provider.on_memory_write(action, target, content)
except Exception as e:
logger.debug(
"Memory provider '%s' on_memory_write failed: %s",
provider.name, e,
)
def on_delegation(self, task: str, result: str, *,
child_session_id: str = "", **kwargs) -> None:
"""Notify all providers that a subagent completed."""
for provider in self._providers:
try:
provider.on_delegation(
task, result, child_session_id=child_session_id, **kwargs
)
except Exception as e:
logger.debug(
"Memory provider '%s' on_delegation failed: %s",
provider.name, e,
)
def shutdown_all(self) -> None:
"""Shut down all providers (reverse order for clean teardown)."""
for provider in reversed(self._providers):
try:
provider.shutdown()
except Exception as e:
logger.warning(
"Memory provider '%s' shutdown failed: %s",
provider.name, e,
)
def initialize_all(self, session_id: str, **kwargs) -> None:
"""Initialize all providers.
Automatically injects ``hermes_home`` into *kwargs* so that every
provider can resolve profile-scoped storage paths without importing
``get_hermes_home()`` themselves.
"""
if "hermes_home" not in kwargs:
from hermes_constants import get_hermes_home
kwargs["hermes_home"] = str(get_hermes_home())
for provider in self._providers:
try:
provider.initialize(session_id=session_id, **kwargs)
except Exception as e:
logger.warning(
"Memory provider '%s' initialize failed: %s",
provider.name, e,
)

View File

@@ -1,231 +0,0 @@
"""Abstract base class for pluggable memory providers.
Memory providers give the agent persistent recall across sessions. One
external provider is active at a time alongside the always-on built-in
memory (MEMORY.md / USER.md). The MemoryManager enforces this limit.
Built-in memory is always active as the first provider and cannot be removed.
External providers (Honcho, Hindsight, Mem0, etc.) are additive — they never
disable the built-in store. Only one external provider runs at a time to
prevent tool schema bloat and conflicting memory backends.
Registration:
1. Built-in: BuiltinMemoryProvider — always present, not removable.
2. Plugins: Ship in plugins/memory/<name>/, activated by memory.provider config.
Lifecycle (called by MemoryManager, wired in run_agent.py):
initialize() — connect, create resources, warm up
system_prompt_block() — static text for the system prompt
prefetch(query) — background recall before each turn
sync_turn(user, asst) — async write after each turn
get_tool_schemas() — tool schemas to expose to the model
handle_tool_call() — dispatch a tool call
shutdown() — clean exit
Optional hooks (override to opt in):
on_turn_start(turn, message, **kwargs) — per-turn tick with runtime context
on_session_end(messages) — end-of-session extraction
on_pre_compress(messages) -> str — extract before context compression
on_memory_write(action, target, content) — mirror built-in memory writes
on_delegation(task, result, **kwargs) — parent-side observation of subagent work
"""
from __future__ import annotations
import logging
from abc import ABC, abstractmethod
from typing import Any, Dict, List, Optional
logger = logging.getLogger(__name__)
class MemoryProvider(ABC):
"""Abstract base class for memory providers."""
@property
@abstractmethod
def name(self) -> str:
"""Short identifier for this provider (e.g. 'builtin', 'honcho', 'hindsight')."""
# -- Core lifecycle (implement these) ------------------------------------
@abstractmethod
def is_available(self) -> bool:
"""Return True if this provider is configured, has credentials, and is ready.
Called during agent init to decide whether to activate the provider.
Should not make network calls — just check config and installed deps.
"""
@abstractmethod
def initialize(self, session_id: str, **kwargs) -> None:
"""Initialize for a session.
Called once at agent startup. May create resources (banks, tables),
establish connections, start background threads, etc.
kwargs always include:
- hermes_home (str): The active HERMES_HOME directory path. Use this
for profile-scoped storage instead of hardcoding ``~/.hermes``.
- platform (str): "cli", "telegram", "discord", "cron", etc.
kwargs may also include:
- agent_context (str): "primary", "subagent", "cron", or "flush".
Providers should skip writes for non-primary contexts (cron system
prompts would corrupt user representations).
- agent_identity (str): Profile name (e.g. "coder"). Use for
per-profile provider identity scoping.
- agent_workspace (str): Shared workspace name (e.g. "hermes").
- parent_session_id (str): For subagents, the parent's session_id.
- user_id (str): Platform user identifier (gateway sessions).
"""
def system_prompt_block(self) -> str:
"""Return text to include in the system prompt.
Called during system prompt assembly. Return empty string to skip.
This is for STATIC provider info (instructions, status). Prefetched
recall context is injected separately via prefetch().
"""
return ""
def prefetch(self, query: str, *, session_id: str = "") -> str:
"""Recall relevant context for the upcoming turn.
Called before each API call. Return formatted text to inject as
context, or empty string if nothing relevant. Implementations
should be fast — use background threads for the actual recall
and return cached results here.
session_id is provided for providers serving concurrent sessions
(gateway group chats, cached agents). Providers that don't need
per-session scoping can ignore it.
"""
return ""
def queue_prefetch(self, query: str, *, session_id: str = "") -> None:
"""Queue a background recall for the NEXT turn.
Called after each turn completes. The result will be consumed
by prefetch() on the next turn. Default is no-op — providers
that do background prefetching should override this.
"""
def sync_turn(self, user_content: str, assistant_content: str, *, session_id: str = "") -> None:
"""Persist a completed turn to the backend.
Called after each turn. Should be non-blocking — queue for
background processing if the backend has latency.
"""
@abstractmethod
def get_tool_schemas(self) -> List[Dict[str, Any]]:
"""Return tool schemas this provider exposes.
Each schema follows the OpenAI function calling format:
{"name": "...", "description": "...", "parameters": {...}}
Return empty list if this provider has no tools (context-only).
"""
def handle_tool_call(self, tool_name: str, args: Dict[str, Any], **kwargs) -> str:
"""Handle a tool call for one of this provider's tools.
Must return a JSON string (the tool result).
Only called for tool names returned by get_tool_schemas().
"""
raise NotImplementedError(f"Provider {self.name} does not handle tool {tool_name}")
def shutdown(self) -> None:
"""Clean shutdown — flush queues, close connections."""
# -- Optional hooks (override to opt in) ---------------------------------
def on_turn_start(self, turn_number: int, message: str, **kwargs) -> None:
"""Called at the start of each turn with the user message.
Use for turn-counting, scope management, periodic maintenance.
kwargs may include: remaining_tokens, model, platform, tool_count.
Providers use what they need; extras are ignored.
"""
def on_session_end(self, messages: List[Dict[str, Any]]) -> None:
"""Called when a session ends (explicit exit or timeout).
Use for end-of-session fact extraction, summarization, etc.
messages is the full conversation history.
NOT called after every turn — only at actual session boundaries
(CLI exit, /reset, gateway session expiry).
"""
def on_pre_compress(self, messages: List[Dict[str, Any]]) -> str:
"""Called before context compression discards old messages.
Use to extract insights from messages about to be compressed.
messages is the list that will be summarized/discarded.
Return text to include in the compression summary prompt so the
compressor preserves provider-extracted insights. Return empty
string for no contribution (backwards-compatible default).
"""
return ""
def on_delegation(self, task: str, result: str, *,
child_session_id: str = "", **kwargs) -> None:
"""Called on the PARENT agent when a subagent completes.
The parent's memory provider gets the task+result pair as an
observation of what was delegated and what came back. The subagent
itself has no provider session (skip_memory=True).
task: the delegation prompt
result: the subagent's final response
child_session_id: the subagent's session_id
"""
def get_config_schema(self) -> List[Dict[str, Any]]:
"""Return config fields this provider needs for setup.
Used by 'hermes memory setup' to walk the user through configuration.
Each field is a dict with:
key: config key name (e.g. 'api_key', 'mode')
description: human-readable description
secret: True if this should go to .env (default: False)
required: True if required (default: False)
default: default value (optional)
choices: list of valid values (optional)
url: URL where user can get this credential (optional)
env_var: explicit env var name for secrets (default: auto-generated)
Return empty list if no config needed (e.g. local-only providers).
"""
return []
def save_config(self, values: Dict[str, Any], hermes_home: str) -> None:
"""Write non-secret config to the provider's native location.
Called by 'hermes memory setup' after collecting user inputs.
``values`` contains only non-secret fields (secrets go to .env).
``hermes_home`` is the active HERMES_HOME directory path.
Providers with native config files (JSON, YAML) should override
this to write to their expected location. Providers that use only
env vars can leave the default (no-op).
All new memory provider plugins MUST implement either:
- save_config() for native config file formats, OR
- use only env vars (in which case get_config_schema() fields
should all have ``env_var`` set and this method stays no-op).
"""
def on_memory_write(self, action: str, target: str, content: str) -> None:
"""Called when the built-in memory tool writes an entry.
action: 'add', 'replace', or 'remove'
target: 'memory' or 'user'
content: the entry content
Use to mirror built-in memory writes to your backend.
"""

View File

@@ -24,11 +24,10 @@ logger = logging.getLogger(__name__)
# are preserved so the full model name reaches cache lookups and server queries.
_PROVIDER_PREFIXES: frozenset[str] = frozenset({
"openrouter", "nous", "openai-codex", "copilot", "copilot-acp",
"gemini", "zai", "kimi-coding", "minimax", "minimax-cn", "anthropic", "deepseek",
"zai", "kimi-coding", "minimax", "minimax-cn", "anthropic", "deepseek",
"opencode-zen", "opencode-go", "ai-gateway", "kilocode", "alibaba",
"ollama", "custom", "local",
"custom", "local",
# Common aliases
"google", "google-gemini", "google-ai-studio",
"glm", "z-ai", "z.ai", "zhipu", "github", "github-copilot",
"github-models", "kimi", "moonshot", "claude", "deep-seek",
"opencode", "zen", "go", "vercel", "kilo", "dashscope", "aliyun", "qwen",
@@ -102,14 +101,6 @@ DEFAULT_CONTEXT_LENGTHS = {
"gpt-4": 128000,
# Google
"gemini": 1048576,
# Gemma (open models — Ollama / AI Studio)
"gemma-4-31b": 256000,
"gemma-4-26b": 256000,
"gemma-4-12b": 256000,
"gemma-4-4b": 256000,
"gemma-4-1b": 256000,
"gemma-3": 131072,
"gemma": 8192, # fallback for older gemma models
# DeepSeek
"deepseek": 128000,
# Meta
@@ -122,8 +113,6 @@ DEFAULT_CONTEXT_LENGTHS = {
"glm": 202752,
# Kimi
"kimi": 262144,
# Arcee
"trinity": 262144,
# Hugging Face Inference Providers — model IDs use org/name format
"Qwen/Qwen3.5-397B-A17B": 131072,
"Qwen/Qwen3.5-35B-A3B": 131072,
@@ -132,8 +121,6 @@ DEFAULT_CONTEXT_LENGTHS = {
"moonshotai/Kimi-K2-Thinking": 262144,
"MiniMaxAI/MiniMax-M2.5": 204800,
"XiaomiMiMo/MiMo-V2-Flash": 32768,
"mimo-v2-pro": 1048576,
"mimo-v2-omni": 1048576,
"zai-org/GLM-5": 202752,
}
@@ -184,14 +171,11 @@ _URL_TO_PROVIDER: Dict[str, str] = {
"dashscope.aliyuncs.com": "alibaba",
"dashscope-intl.aliyuncs.com": "alibaba",
"openrouter.ai": "openrouter",
"generativelanguage.googleapis.com": "gemini",
"generativelanguage.googleapis.com": "google",
"inference-api.nousresearch.com": "nous",
"api.deepseek.com": "deepseek",
"api.githubcopilot.com": "copilot",
"models.github.ai": "copilot",
"api.fireworks.ai": "fireworks",
"localhost": "ollama",
"127.0.0.1": "ollama",
}

View File

@@ -1,31 +1,19 @@
"""Models.dev registry integration — primary database for providers and models.
"""Models.dev registry integration for provider-aware context length detection.
Fetches from https://models.dev/api.json — a community-maintained database
of 4000+ models across 109+ providers. Provides:
Fetches model metadata from https://models.dev/api.json — a community-maintained
database of 3800+ models across 100+ providers, including per-provider context
windows, pricing, and capabilities.
- **Provider metadata**: name, base URL, env vars, documentation link
- **Model metadata**: context window, max output, cost/M tokens, capabilities
(reasoning, tools, vision, PDF, audio), modalities, knowledge cutoff,
open-weights flag, family grouping, deprecation status
Data resolution order (like TypeScript OpenCode):
1. Bundled snapshot (ships with the package — offline-first)
2. Disk cache (~/.hermes/models_dev_cache.json)
3. Network fetch (https://models.dev/api.json)
4. Background refresh every 60 minutes
Other modules should import the dataclasses and query functions from here
rather than parsing the raw JSON themselves.
Data is cached in memory (1hr TTL) and on disk (~/.hermes/models_dev_cache.json)
to avoid cold-start network latency.
"""
import difflib
import json
import logging
import os
import time
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple, Union
from typing import Any, Dict, Optional
from utils import atomic_json_write
@@ -40,115 +28,12 @@ _MODELS_DEV_CACHE_TTL = 3600 # 1 hour in-memory
_models_dev_cache: Dict[str, Any] = {}
_models_dev_cache_time: float = 0
# ---------------------------------------------------------------------------
# Dataclasses — rich metadata for providers and models
# ---------------------------------------------------------------------------
@dataclass
class ModelInfo:
"""Full metadata for a single model from models.dev."""
id: str
name: str
family: str
provider_id: str # models.dev provider ID (e.g. "anthropic")
# Capabilities
reasoning: bool = False
tool_call: bool = False
attachment: bool = False # supports image/file attachments (vision)
temperature: bool = False
structured_output: bool = False
open_weights: bool = False
# Modalities
input_modalities: Tuple[str, ...] = () # ("text", "image", "pdf", ...)
output_modalities: Tuple[str, ...] = ()
# Limits
context_window: int = 0
max_output: int = 0
max_input: Optional[int] = None
# Cost (per million tokens, USD)
cost_input: float = 0.0
cost_output: float = 0.0
cost_cache_read: Optional[float] = None
cost_cache_write: Optional[float] = None
# Metadata
knowledge_cutoff: str = ""
release_date: str = ""
status: str = "" # "alpha", "beta", "deprecated", or ""
interleaved: Any = False # True or {"field": "reasoning_content"}
def has_cost_data(self) -> bool:
return self.cost_input > 0 or self.cost_output > 0
def supports_vision(self) -> bool:
return self.attachment or "image" in self.input_modalities
def supports_pdf(self) -> bool:
return "pdf" in self.input_modalities
def supports_audio_input(self) -> bool:
return "audio" in self.input_modalities
def format_cost(self) -> str:
"""Human-readable cost string, e.g. '$3.00/M in, $15.00/M out'."""
if not self.has_cost_data():
return "unknown"
parts = [f"${self.cost_input:.2f}/M in", f"${self.cost_output:.2f}/M out"]
if self.cost_cache_read is not None:
parts.append(f"cache read ${self.cost_cache_read:.2f}/M")
return ", ".join(parts)
def format_capabilities(self) -> str:
"""Human-readable capabilities, e.g. 'reasoning, tools, vision, PDF'."""
caps = []
if self.reasoning:
caps.append("reasoning")
if self.tool_call:
caps.append("tools")
if self.supports_vision():
caps.append("vision")
if self.supports_pdf():
caps.append("PDF")
if self.supports_audio_input():
caps.append("audio")
if self.structured_output:
caps.append("structured output")
if self.open_weights:
caps.append("open weights")
return ", ".join(caps) if caps else "basic"
@dataclass
class ProviderInfo:
"""Full metadata for a provider from models.dev."""
id: str # models.dev provider ID
name: str # display name
env: Tuple[str, ...] # env var names for API key
api: str # base URL
doc: str = "" # documentation URL
model_count: int = 0
def has_api_url(self) -> bool:
return bool(self.api)
# ---------------------------------------------------------------------------
# Provider ID mapping: Hermes ↔ models.dev
# ---------------------------------------------------------------------------
# Hermes provider names → models.dev provider IDs
# Provider ID mapping: Hermes provider names → models.dev provider IDs
PROVIDER_TO_MODELS_DEV: Dict[str, str] = {
"openrouter": "openrouter",
"anthropic": "anthropic",
"zai": "zai",
"kimi-coding": "kimi-k2.5",
"kimi-coding": "kimi-for-coding",
"minimax": "minimax",
"minimax-cn": "minimax-cn",
"deepseek": "deepseek",
@@ -158,30 +43,8 @@ PROVIDER_TO_MODELS_DEV: Dict[str, str] = {
"opencode-zen": "opencode",
"opencode-go": "opencode-go",
"kilocode": "kilo",
"fireworks": "fireworks-ai",
"huggingface": "huggingface",
"gemini": "google",
"google": "google",
"xai": "xai",
"nvidia": "nvidia",
"groq": "groq",
"mistral": "mistral",
"togetherai": "togetherai",
"perplexity": "perplexity",
"cohere": "cohere",
}
# Reverse mapping: models.dev → Hermes (built lazily)
_MODELS_DEV_TO_PROVIDER: Optional[Dict[str, str]] = None
def _get_reverse_mapping() -> Dict[str, str]:
"""Return models.dev ID → Hermes provider ID mapping."""
global _MODELS_DEV_TO_PROVIDER
if _MODELS_DEV_TO_PROVIDER is None:
_MODELS_DEV_TO_PROVIDER = {v: k for k, v in PROVIDER_TO_MODELS_DEV.items()}
return _MODELS_DEV_TO_PROVIDER
def _get_cache_path() -> Path:
"""Return path to disk cache file."""
@@ -306,476 +169,3 @@ def _extract_context(entry: Dict[str, Any]) -> Optional[int]:
if isinstance(ctx, (int, float)) and ctx > 0:
return int(ctx)
return None
# ---------------------------------------------------------------------------
# Model capability metadata
# ---------------------------------------------------------------------------
@dataclass
class ModelCapabilities:
"""Structured capability metadata for a model from models.dev."""
supports_tools: bool = True
supports_vision: bool = False
supports_reasoning: bool = False
context_window: int = 200000
max_output_tokens: int = 8192
model_family: str = ""
def _get_provider_models(provider: str) -> Optional[Dict[str, Any]]:
"""Resolve a Hermes provider ID to its models dict from models.dev.
Returns the models dict or None if the provider is unknown or has no data.
"""
mdev_provider_id = PROVIDER_TO_MODELS_DEV.get(provider)
if not mdev_provider_id:
return None
data = fetch_models_dev()
provider_data = data.get(mdev_provider_id)
if not isinstance(provider_data, dict):
return None
models = provider_data.get("models", {})
if not isinstance(models, dict):
return None
return models
def _find_model_entry(models: Dict[str, Any], model: str) -> Optional[Dict[str, Any]]:
"""Find a model entry by exact match, then case-insensitive fallback."""
# Exact match
entry = models.get(model)
if isinstance(entry, dict):
return entry
# Case-insensitive match
model_lower = model.lower()
for mid, mdata in models.items():
if mid.lower() == model_lower and isinstance(mdata, dict):
return mdata
return None
def get_model_capabilities(provider: str, model: str) -> Optional[ModelCapabilities]:
"""Look up full capability metadata from models.dev cache.
Uses the existing fetch_models_dev() and PROVIDER_TO_MODELS_DEV mapping.
Returns None if model not found.
Extracts from model entry fields:
- reasoning (bool) → supports_reasoning
- tool_call (bool) → supports_tools
- attachment (bool) → supports_vision
- limit.context (int) → context_window
- limit.output (int) → max_output_tokens
- family (str) → model_family
"""
models = _get_provider_models(provider)
if models is None:
return None
entry = _find_model_entry(models, model)
if entry is None:
return None
# Extract capability flags (default to False if missing)
supports_tools = bool(entry.get("tool_call", False))
supports_vision = bool(entry.get("attachment", False))
supports_reasoning = bool(entry.get("reasoning", False))
# Extract limits
limit = entry.get("limit", {})
if not isinstance(limit, dict):
limit = {}
ctx = limit.get("context")
context_window = int(ctx) if isinstance(ctx, (int, float)) and ctx > 0 else 200000
out = limit.get("output")
max_output_tokens = int(out) if isinstance(out, (int, float)) and out > 0 else 8192
model_family = entry.get("family", "") or ""
return ModelCapabilities(
supports_tools=supports_tools,
supports_vision=supports_vision,
supports_reasoning=supports_reasoning,
context_window=context_window,
max_output_tokens=max_output_tokens,
model_family=model_family,
)
def list_provider_models(provider: str) -> List[str]:
"""Return all model IDs for a provider from models.dev.
Returns an empty list if the provider is unknown or has no data.
"""
models = _get_provider_models(provider)
if models is None:
return []
return list(models.keys())
# Patterns that indicate non-agentic or noise models (TTS, embedding,
# dated preview snapshots, live/streaming-only, image-only).
import re
_NOISE_PATTERNS: re.Pattern = re.compile(
r"-tts\b|embedding|live-|-(preview|exp)-\d{2,4}[-_]|"
r"-image\b|-image-preview\b|-customtools\b",
re.IGNORECASE,
)
def list_agentic_models(provider: str) -> List[str]:
"""Return model IDs suitable for agentic use from models.dev.
Filters for tool_call=True and excludes noise (TTS, embedding,
dated preview snapshots, live/streaming, image-only models).
Returns an empty list on any failure.
"""
models = _get_provider_models(provider)
if models is None:
return []
result = []
for mid, entry in models.items():
if not isinstance(entry, dict):
continue
if not entry.get("tool_call", False):
continue
if _NOISE_PATTERNS.search(mid):
continue
result.append(mid)
return result
def search_models_dev(
query: str, provider: str = None, limit: int = 5
) -> List[Dict[str, Any]]:
"""Fuzzy search across models.dev catalog. Returns matching model entries.
Args:
query: Search string to match against model IDs.
provider: Optional Hermes provider ID to restrict search scope.
If None, searches across all providers in PROVIDER_TO_MODELS_DEV.
limit: Maximum number of results to return.
Returns:
List of dicts, each containing 'provider', 'model_id', and the full
model 'entry' from models.dev.
"""
data = fetch_models_dev()
if not data:
return []
# Build list of (provider_id, model_id, entry) candidates
candidates: List[tuple] = []
if provider is not None:
# Search only the specified provider
mdev_provider_id = PROVIDER_TO_MODELS_DEV.get(provider)
if not mdev_provider_id:
return []
provider_data = data.get(mdev_provider_id, {})
if isinstance(provider_data, dict):
models = provider_data.get("models", {})
if isinstance(models, dict):
for mid, mdata in models.items():
candidates.append((provider, mid, mdata))
else:
# Search across all mapped providers
for hermes_prov, mdev_prov in PROVIDER_TO_MODELS_DEV.items():
provider_data = data.get(mdev_prov, {})
if isinstance(provider_data, dict):
models = provider_data.get("models", {})
if isinstance(models, dict):
for mid, mdata in models.items():
candidates.append((hermes_prov, mid, mdata))
if not candidates:
return []
# Use difflib for fuzzy matching — case-insensitive comparison
model_ids_lower = [c[1].lower() for c in candidates]
query_lower = query.lower()
# First try exact substring matches (more intuitive than pure edit-distance)
substring_matches = []
for prov, mid, mdata in candidates:
if query_lower in mid.lower():
substring_matches.append({"provider": prov, "model_id": mid, "entry": mdata})
# Then add difflib fuzzy matches for any remaining slots
fuzzy_ids = difflib.get_close_matches(
query_lower, model_ids_lower, n=limit * 2, cutoff=0.4
)
seen_ids: set = set()
results: List[Dict[str, Any]] = []
# Prioritize substring matches
for match in substring_matches:
key = (match["provider"], match["model_id"])
if key not in seen_ids:
seen_ids.add(key)
results.append(match)
if len(results) >= limit:
return results
# Add fuzzy matches
for fid in fuzzy_ids:
# Find original-case candidates matching this lowered ID
for prov, mid, mdata in candidates:
if mid.lower() == fid:
key = (prov, mid)
if key not in seen_ids:
seen_ids.add(key)
results.append({"provider": prov, "model_id": mid, "entry": mdata})
if len(results) >= limit:
return results
return results
# ---------------------------------------------------------------------------
# Rich dataclass constructors — parse raw models.dev JSON into dataclasses
# ---------------------------------------------------------------------------
def _parse_model_info(model_id: str, raw: Dict[str, Any], provider_id: str) -> ModelInfo:
"""Convert a raw models.dev model entry dict into a ModelInfo dataclass."""
limit = raw.get("limit") or {}
if not isinstance(limit, dict):
limit = {}
cost = raw.get("cost") or {}
if not isinstance(cost, dict):
cost = {}
modalities = raw.get("modalities") or {}
if not isinstance(modalities, dict):
modalities = {}
input_mods = modalities.get("input") or []
output_mods = modalities.get("output") or []
ctx = limit.get("context")
ctx_int = int(ctx) if isinstance(ctx, (int, float)) and ctx > 0 else 0
out = limit.get("output")
out_int = int(out) if isinstance(out, (int, float)) and out > 0 else 0
inp = limit.get("input")
inp_int = int(inp) if isinstance(inp, (int, float)) and inp > 0 else None
return ModelInfo(
id=model_id,
name=raw.get("name", "") or model_id,
family=raw.get("family", "") or "",
provider_id=provider_id,
reasoning=bool(raw.get("reasoning", False)),
tool_call=bool(raw.get("tool_call", False)),
attachment=bool(raw.get("attachment", False)),
temperature=bool(raw.get("temperature", False)),
structured_output=bool(raw.get("structured_output", False)),
open_weights=bool(raw.get("open_weights", False)),
input_modalities=tuple(input_mods) if isinstance(input_mods, list) else (),
output_modalities=tuple(output_mods) if isinstance(output_mods, list) else (),
context_window=ctx_int,
max_output=out_int,
max_input=inp_int,
cost_input=float(cost.get("input", 0) or 0),
cost_output=float(cost.get("output", 0) or 0),
cost_cache_read=float(cost["cache_read"]) if "cache_read" in cost and cost["cache_read"] is not None else None,
cost_cache_write=float(cost["cache_write"]) if "cache_write" in cost and cost["cache_write"] is not None else None,
knowledge_cutoff=raw.get("knowledge", "") or "",
release_date=raw.get("release_date", "") or "",
status=raw.get("status", "") or "",
interleaved=raw.get("interleaved", False),
)
def _parse_provider_info(provider_id: str, raw: Dict[str, Any]) -> ProviderInfo:
"""Convert a raw models.dev provider entry dict into a ProviderInfo."""
env = raw.get("env") or []
models = raw.get("models") or {}
return ProviderInfo(
id=provider_id,
name=raw.get("name", "") or provider_id,
env=tuple(env) if isinstance(env, list) else (),
api=raw.get("api", "") or "",
doc=raw.get("doc", "") or "",
model_count=len(models) if isinstance(models, dict) else 0,
)
# ---------------------------------------------------------------------------
# Provider-level queries
# ---------------------------------------------------------------------------
def get_provider_info(provider_id: str) -> Optional[ProviderInfo]:
"""Get full provider metadata from models.dev.
Accepts either a Hermes provider ID (e.g. "kilocode") or a models.dev
ID (e.g. "kilo"). Returns None if the provider is not in the catalog.
"""
# Resolve Hermes ID → models.dev ID
mdev_id = PROVIDER_TO_MODELS_DEV.get(provider_id, provider_id)
data = fetch_models_dev()
raw = data.get(mdev_id)
if not isinstance(raw, dict):
return None
return _parse_provider_info(mdev_id, raw)
def list_all_providers() -> Dict[str, ProviderInfo]:
"""Return all providers from models.dev as {provider_id: ProviderInfo}.
Returns the full catalog — 109+ providers. For providers that have
a Hermes alias, both the models.dev ID and the Hermes ID are included.
"""
data = fetch_models_dev()
result: Dict[str, ProviderInfo] = {}
for pid, pdata in data.items():
if isinstance(pdata, dict):
info = _parse_provider_info(pid, pdata)
result[pid] = info
return result
def get_providers_for_env_var(env_var: str) -> List[str]:
"""Reverse lookup: find all providers that use a given env var.
Useful for auto-detection: "user has ANTHROPIC_API_KEY set, which
providers does that enable?"
Returns list of models.dev provider IDs.
"""
data = fetch_models_dev()
matches: List[str] = []
for pid, pdata in data.items():
if isinstance(pdata, dict):
env = pdata.get("env", [])
if isinstance(env, list) and env_var in env:
matches.append(pid)
return matches
# ---------------------------------------------------------------------------
# Model-level queries (rich ModelInfo)
# ---------------------------------------------------------------------------
def get_model_info(
provider_id: str, model_id: str
) -> Optional[ModelInfo]:
"""Get full model metadata from models.dev.
Accepts Hermes or models.dev provider ID. Tries exact match then
case-insensitive fallback. Returns None if not found.
"""
mdev_id = PROVIDER_TO_MODELS_DEV.get(provider_id, provider_id)
data = fetch_models_dev()
pdata = data.get(mdev_id)
if not isinstance(pdata, dict):
return None
models = pdata.get("models", {})
if not isinstance(models, dict):
return None
# Exact match
raw = models.get(model_id)
if isinstance(raw, dict):
return _parse_model_info(model_id, raw, mdev_id)
# Case-insensitive fallback
model_lower = model_id.lower()
for mid, mdata in models.items():
if mid.lower() == model_lower and isinstance(mdata, dict):
return _parse_model_info(mid, mdata, mdev_id)
return None
def get_model_info_any_provider(model_id: str) -> Optional[ModelInfo]:
"""Search all providers for a model by ID.
Useful when you have a full slug like "anthropic/claude-sonnet-4.6" or
a bare name and want to find it anywhere. Checks Hermes-mapped providers
first, then falls back to all models.dev providers.
"""
data = fetch_models_dev()
# Try Hermes-mapped providers first (more likely what the user wants)
for hermes_id, mdev_id in PROVIDER_TO_MODELS_DEV.items():
pdata = data.get(mdev_id)
if not isinstance(pdata, dict):
continue
models = pdata.get("models", {})
if not isinstance(models, dict):
continue
raw = models.get(model_id)
if isinstance(raw, dict):
return _parse_model_info(model_id, raw, mdev_id)
# Case-insensitive
model_lower = model_id.lower()
for mid, mdata in models.items():
if mid.lower() == model_lower and isinstance(mdata, dict):
return _parse_model_info(mid, mdata, mdev_id)
# Fall back to ALL providers
for pid, pdata in data.items():
if pid in _get_reverse_mapping():
continue # already checked
if not isinstance(pdata, dict):
continue
models = pdata.get("models", {})
if not isinstance(models, dict):
continue
raw = models.get(model_id)
if isinstance(raw, dict):
return _parse_model_info(model_id, raw, pid)
return None
def list_provider_model_infos(provider_id: str) -> List[ModelInfo]:
"""Return all models for a provider as ModelInfo objects.
Filters out deprecated models by default.
"""
mdev_id = PROVIDER_TO_MODELS_DEV.get(provider_id, provider_id)
data = fetch_models_dev()
pdata = data.get(mdev_id)
if not isinstance(pdata, dict):
return []
models = pdata.get("models", {})
if not isinstance(models, dict):
return []
result: List[ModelInfo] = []
for mid, mdata in models.items():
if not isinstance(mdata, dict):
continue
status = mdata.get("status", "")
if status == "deprecated":
continue
result.append(_parse_model_info(mid, mdata, mdev_id))
return result

View File

@@ -187,76 +187,7 @@ TOOL_USE_ENFORCEMENT_GUIDANCE = (
# Model name substrings that trigger tool-use enforcement guidance.
# Add new patterns here when a model family needs explicit steering.
TOOL_USE_ENFORCEMENT_MODELS = ("gpt", "codex", "gemini", "gemma", "grok")
# OpenAI GPT/Codex-specific execution guidance. Addresses known failure modes
# where GPT models abandon work on partial results, skip prerequisite lookups,
# hallucinate instead of using tools, and declare "done" without verification.
# Inspired by patterns from OpenAI's GPT-5.4 prompting guide & OpenClaw PR #38953.
OPENAI_MODEL_EXECUTION_GUIDANCE = (
"# Execution discipline\n"
"<tool_persistence>\n"
"- Use tools whenever they improve correctness, completeness, or grounding.\n"
"- Do not stop early when another tool call would materially improve the result.\n"
"- If a tool returns empty or partial results, retry with a different query or "
"strategy before giving up.\n"
"- Keep calling tools until: (1) the task is complete, AND (2) you have verified "
"the result.\n"
"</tool_persistence>\n"
"\n"
"<prerequisite_checks>\n"
"- Before taking an action, check whether prerequisite discovery, lookup, or "
"context-gathering steps are needed.\n"
"- Do not skip prerequisite steps just because the final action seems obvious.\n"
"- If a task depends on output from a prior step, resolve that dependency first.\n"
"</prerequisite_checks>\n"
"\n"
"<verification>\n"
"Before finalizing your response:\n"
"- Correctness: does the output satisfy every stated requirement?\n"
"- Grounding: are factual claims backed by tool outputs or provided context?\n"
"- Formatting: does the output match the requested format or schema?\n"
"- Safety: if the next step has side effects (file writes, commands, API calls), "
"confirm scope before executing.\n"
"</verification>\n"
"\n"
"<missing_context>\n"
"- If required context is missing, do NOT guess or hallucinate an answer.\n"
"- Use the appropriate lookup tool when missing information is retrievable "
"(search_files, web_search, read_file, etc.).\n"
"- Ask a clarifying question only when the information cannot be retrieved by tools.\n"
"- If you must proceed with incomplete information, label assumptions explicitly.\n"
"</missing_context>"
)
# Gemini/Gemma-specific operational guidance, adapted from OpenCode's gemini.txt.
# Injected alongside TOOL_USE_ENFORCEMENT_GUIDANCE when the model is Gemini or Gemma.
GOOGLE_MODEL_OPERATIONAL_GUIDANCE = (
"# Google model operational directives\n"
"Follow these operational rules strictly:\n"
"- **Absolute paths:** Always construct and use absolute file paths for all "
"file system operations. Combine the project root with relative paths.\n"
"- **Verify first:** Use read_file/search_files to check file contents and "
"project structure before making changes. Never guess at file contents.\n"
"- **Dependency checks:** Never assume a library is available. Check "
"package.json, requirements.txt, Cargo.toml, etc. before importing.\n"
"- **Conciseness:** Keep explanatory text brief — a few sentences, not "
"paragraphs. Focus on actions and results over narration.\n"
"- **Parallel tool calls:** When you need to perform multiple independent "
"operations (e.g. reading several files), make all the tool calls in a "
"single response rather than sequentially.\n"
"- **Non-interactive commands:** Use flags like -y, --yes, --non-interactive "
"to prevent CLI tools from hanging on prompts.\n"
"- **Keep going:** Work autonomously until the task is fully resolved. "
"Don't stop with a plan — execute it.\n"
)
# Model name substrings that should use the 'developer' role instead of
# 'system' for the system prompt. OpenAI's newer models (GPT-5, Codex)
# give stronger instruction-following weight to the 'developer' role.
# The swap happens at the API boundary in _build_api_kwargs() so internal
# message representation stays consistent ("system" everywhere).
DEVELOPER_ROLE_MODELS = ("gpt-5", "codex")
TOOL_USE_ENFORCEMENT_MODELS = ("gpt", "codex")
PLATFORM_HINTS = {
"whatsapp": (
@@ -528,19 +459,11 @@ def build_skills_system_prompt(
return ""
# ── Layer 1: in-process LRU cache ─────────────────────────────────
# Include the resolved platform so per-platform disabled-skill lists
# produce distinct cache entries (gateway serves multiple platforms).
_platform_hint = (
os.environ.get("HERMES_PLATFORM")
or os.environ.get("HERMES_SESSION_PLATFORM")
or ""
)
cache_key = (
str(skills_dir.resolve()),
tuple(str(d) for d in external_dirs),
tuple(sorted(str(t) for t in (available_tools or set()))),
tuple(sorted(str(ts) for ts in (available_toolsets or set()))),
_platform_hint,
)
with _SKILLS_PROMPT_CACHE_LOCK:
cached = _SKILLS_PROMPT_CACHE.get(cache_key)
@@ -722,72 +645,6 @@ def build_skills_system_prompt(
return result
def build_nous_subscription_prompt(valid_tool_names: "set[str] | None" = None) -> str:
"""Build a compact Nous subscription capability block for the system prompt."""
try:
from hermes_cli.nous_subscription import get_nous_subscription_features
from tools.tool_backend_helpers import managed_nous_tools_enabled
except Exception as exc:
logger.debug("Failed to import Nous subscription helper: %s", exc)
return ""
if not managed_nous_tools_enabled():
return ""
valid_names = set(valid_tool_names or set())
relevant_tool_names = {
"web_search",
"web_extract",
"browser_navigate",
"browser_snapshot",
"browser_click",
"browser_type",
"browser_scroll",
"browser_console",
"browser_press",
"browser_get_images",
"browser_vision",
"image_generate",
"text_to_speech",
"terminal",
"process",
"execute_code",
}
if valid_names and not (valid_names & relevant_tool_names):
return ""
features = get_nous_subscription_features()
def _status_line(feature) -> str:
if feature.managed_by_nous:
return f"- {feature.label}: active via Nous subscription"
if feature.active:
current = feature.current_provider or "configured provider"
return f"- {feature.label}: currently using {current}"
if feature.included_by_default and features.nous_auth_present:
return f"- {feature.label}: included with Nous subscription, not currently selected"
if feature.key == "modal" and features.nous_auth_present:
return f"- {feature.label}: optional via Nous subscription"
return f"- {feature.label}: not currently available"
lines = [
"# Nous Subscription",
"Nous subscription includes managed web tools (Firecrawl), image generation (FAL), OpenAI TTS, and browser automation (Browser Use) by default. Modal execution is optional.",
"Current capability status:",
]
lines.extend(_status_line(feature) for feature in features.items())
lines.extend(
[
"When a Nous-managed feature is active, do not ask the user for Firecrawl, FAL, OpenAI TTS, or Browser-Use API keys.",
"If the user is not subscribed and asks for a capability that Nous subscription would unlock or simplify, suggest Nous subscription as one option alongside direct setup or local alternatives.",
"Do not mention subscription unless the user asks about it or it directly solves the current missing capability.",
"Useful commands: hermes setup, hermes setup tools, hermes setup terminal, hermes status.",
]
)
return "\n".join(lines)
# =========================================================================
# Context files (SOUL.md, AGENTS.md, .cursorrules)
# =========================================================================

View File

@@ -13,19 +13,11 @@ import re
logger = logging.getLogger(__name__)
# Snapshot at import time so runtime env mutations (e.g. LLM-generated
# `export HERMES_REDACT_SECRETS=false`) cannot disable redaction mid-session.
_REDACT_ENABLED = os.getenv("HERMES_REDACT_SECRETS", "").lower() not in ("0", "false", "no", "off")
# Known API key prefixes -- match the prefix + contiguous token chars
_PREFIX_PATTERNS = [
r"sk-[A-Za-z0-9_-]{10,}", # OpenAI / OpenRouter / Anthropic (sk-ant-*)
r"ghp_[A-Za-z0-9]{10,}", # GitHub PAT (classic)
r"github_pat_[A-Za-z0-9_]{10,}", # GitHub PAT (fine-grained)
r"gho_[A-Za-z0-9]{10,}", # GitHub OAuth access token
r"ghu_[A-Za-z0-9]{10,}", # GitHub user-to-server token
r"ghs_[A-Za-z0-9]{10,}", # GitHub server-to-server token
r"ghr_[A-Za-z0-9]{10,}", # GitHub refresh token
r"xox[baprs]-[A-Za-z0-9-]{10,}", # Slack tokens
r"AIza[A-Za-z0-9_-]{30,}", # Google API keys
r"pplx-[A-Za-z0-9]{10,}", # Perplexity
@@ -48,18 +40,13 @@ _PREFIX_PATTERNS = [
r"sk_[A-Za-z0-9_]{10,}", # ElevenLabs TTS key (sk_ underscore, not sk- dash)
r"tvly-[A-Za-z0-9]{10,}", # Tavily search API key
r"exa_[A-Za-z0-9]{10,}", # Exa search API key
r"gsk_[A-Za-z0-9]{10,}", # Groq Cloud API key
r"syt_[A-Za-z0-9]{10,}", # Matrix access token
r"retaindb_[A-Za-z0-9]{10,}", # RetainDB API key
r"hsk-[A-Za-z0-9]{10,}", # Hindsight API key
r"mem0_[A-Za-z0-9]{10,}", # Mem0 Platform API key
r"brv_[A-Za-z0-9]{10,}", # ByteRover API key
]
# ENV assignment patterns: KEY=value where KEY contains a secret-like name
_SECRET_ENV_NAMES = r"(?:API_?KEY|TOKEN|SECRET|PASSWORD|PASSWD|CREDENTIAL|AUTH)"
_ENV_ASSIGN_RE = re.compile(
rf"([A-Z0-9_]{{0,50}}{_SECRET_ENV_NAMES}[A-Z0-9_]{{0,50}})\s*=\s*(['\"]?)(\S+)\2",
rf"([A-Z_]*{_SECRET_ENV_NAMES}[A-Z_]*)\s*=\s*(['\"]?)(\S+)\2",
re.IGNORECASE,
)
# JSON field patterns: "apiKey": "value", "token": "value", etc.
@@ -122,7 +109,7 @@ def redact_sensitive_text(text: str) -> str:
text = str(text)
if not text:
return text
if not _REDACT_ENABLED:
if os.getenv("HERMES_REDACT_SECRETS", "").lower() in ("0", "false", "no", "off"):
return text
# Known prefixes (sk-, ghp_, etc.)

View File

@@ -24,9 +24,6 @@ logger = logging.getLogger(__name__)
_skill_commands: Dict[str, Dict[str, Any]] = {}
_PLAN_SLUG_RE = re.compile(r"[^a-z0-9]+")
# Patterns for sanitizing skill names into clean hyphen-separated slugs.
_SKILL_INVALID_CHARS = re.compile(r"[^a-z0-9-]")
_SKILL_MULTI_HYPHEN = re.compile(r"-{2,}")
def build_plan_path(
@@ -107,45 +104,6 @@ def _load_skill_payload(skill_identifier: str, task_id: str | None = None) -> tu
return loaded_skill, skill_dir, skill_name
def _inject_skill_config(loaded_skill: dict[str, Any], parts: list[str]) -> None:
"""Resolve and inject skill-declared config values into the message parts.
If the loaded skill's frontmatter declares ``metadata.hermes.config``
entries, their current values (from config.yaml or defaults) are appended
as a ``[Skill config: ...]`` block so the agent knows the configured values
without needing to read config.yaml itself.
"""
try:
from agent.skill_utils import (
extract_skill_config_vars,
parse_frontmatter,
resolve_skill_config_values,
)
# The loaded_skill dict contains the raw content which includes frontmatter
raw_content = str(loaded_skill.get("raw_content") or loaded_skill.get("content") or "")
if not raw_content:
return
frontmatter, _ = parse_frontmatter(raw_content)
config_vars = extract_skill_config_vars(frontmatter)
if not config_vars:
return
resolved = resolve_skill_config_values(config_vars)
if not resolved:
return
lines = ["", "[Skill config (from ~/.hermes/config.yaml):"]
for key, value in resolved.items():
display_val = str(value) if value else "(not set)"
lines.append(f" {key} = {display_val}")
lines.append("]")
parts.extend(lines)
except Exception:
pass # Non-critical — skill still loads without config injection
def _build_skill_message(
loaded_skill: dict[str, Any],
skill_dir: Path | None,
@@ -160,9 +118,6 @@ def _build_skill_message(
parts = [activation_note, "", content.strip()]
# ── Inject resolved skill config values ──
_inject_skill_config(loaded_skill, parts)
if loaded_skill.get("setup_skipped"):
parts.extend(
[
@@ -269,14 +224,7 @@ def scan_skill_commands() -> Dict[str, Dict[str, Any]]:
description = line[:80]
break
seen_names.add(name)
# Normalize to hyphen-separated slug, stripping
# non-alnum chars (e.g. +, /) to avoid invalid
# Telegram command names downstream.
cmd_name = name.lower().replace(' ', '-').replace('_', '-')
cmd_name = _SKILL_INVALID_CHARS.sub('', cmd_name)
cmd_name = _SKILL_MULTI_HYPHEN.sub('-', cmd_name).strip('-')
if not cmd_name:
continue
_skill_commands[f"/{cmd_name}"] = {
"name": name,
"description": description or f"Invoke the {name} skill",
@@ -297,25 +245,6 @@ def get_skill_commands() -> Dict[str, Dict[str, Any]]:
return _skill_commands
def resolve_skill_command_key(command: str) -> Optional[str]:
"""Resolve a user-typed /command to its canonical skill_cmds key.
Skills are always stored with hyphens — ``scan_skill_commands`` normalizes
spaces and underscores to hyphens when building the key. Hyphens and
underscores are treated interchangeably in user input: this matches
``_check_unavailable_skill`` and accommodates Telegram bot-command names
(which disallow hyphens, so ``/claude-code`` is registered as
``/claude_code`` and comes back in the underscored form).
Returns the matching ``/slug`` key from ``get_skill_commands()`` or
``None`` if no match.
"""
if not command:
return None
cmd_key = f"/{command.replace('_', '-')}"
return cmd_key if cmd_key in get_skill_commands() else None
def build_skill_invocation_message(
cmd_key: str,
user_instruction: str = "",

View File

@@ -118,17 +118,12 @@ def skill_matches_platform(frontmatter: Dict[str, Any]) -> bool:
# ── Disabled skills ───────────────────────────────────────────────────────
def get_disabled_skill_names(platform: str | None = None) -> Set[str]:
def get_disabled_skill_names() -> Set[str]:
"""Read disabled skill names from config.yaml.
Args:
platform: Explicit platform name (e.g. ``"telegram"``). When
*None*, resolves from ``HERMES_PLATFORM`` or
``HERMES_SESSION_PLATFORM`` env vars. Falls back to the
global disabled list when no platform is determined.
Reads the config file directly (no CLI config imports) to stay
lightweight.
Resolves platform from ``HERMES_PLATFORM`` env var, falls back to
the global disabled list. Reads the config file directly (no CLI
config imports) to stay lightweight.
"""
config_path = get_hermes_home() / "config.yaml"
if not config_path.exists():
@@ -145,11 +140,7 @@ def get_disabled_skill_names(platform: str | None = None) -> Set[str]:
if not isinstance(skills_cfg, dict):
return set()
resolved_platform = (
platform
or os.getenv("HERMES_PLATFORM")
or os.getenv("HERMES_SESSION_PLATFORM")
)
resolved_platform = os.getenv("HERMES_PLATFORM")
if resolved_platform:
platform_disabled = (skills_cfg.get("platform_disabled") or {}).get(
resolved_platform
@@ -239,13 +230,7 @@ def get_all_skills_dirs() -> List[Path]:
def extract_skill_conditions(frontmatter: Dict[str, Any]) -> Dict[str, List]:
"""Extract conditional activation fields from parsed frontmatter."""
metadata = frontmatter.get("metadata")
# Handle cases where metadata is not a dict (e.g., a string from malformed YAML)
if not isinstance(metadata, dict):
metadata = {}
hermes = metadata.get("hermes") or {}
if not isinstance(hermes, dict):
hermes = {}
hermes = (frontmatter.get("metadata") or {}).get("hermes") or {}
return {
"fallback_for_toolsets": hermes.get("fallback_for_toolsets", []),
"requires_toolsets": hermes.get("requires_toolsets", []),
@@ -254,163 +239,6 @@ def extract_skill_conditions(frontmatter: Dict[str, Any]) -> Dict[str, List]:
}
# ── Skill config extraction ───────────────────────────────────────────────
def extract_skill_config_vars(frontmatter: Dict[str, Any]) -> List[Dict[str, Any]]:
"""Extract config variable declarations from parsed frontmatter.
Skills declare config.yaml settings they need via::
metadata:
hermes:
config:
- key: wiki.path
description: Path to the LLM Wiki knowledge base directory
default: "~/wiki"
prompt: Wiki directory path
Returns a list of dicts with keys: ``key``, ``description``, ``default``,
``prompt``. Invalid or incomplete entries are silently skipped.
"""
metadata = frontmatter.get("metadata")
if not isinstance(metadata, dict):
return []
hermes = metadata.get("hermes")
if not isinstance(hermes, dict):
return []
raw = hermes.get("config")
if not raw:
return []
if isinstance(raw, dict):
raw = [raw]
if not isinstance(raw, list):
return []
result: List[Dict[str, Any]] = []
seen: set = set()
for item in raw:
if not isinstance(item, dict):
continue
key = str(item.get("key", "")).strip()
if not key or key in seen:
continue
# Must have at least key and description
desc = str(item.get("description", "")).strip()
if not desc:
continue
entry: Dict[str, Any] = {
"key": key,
"description": desc,
}
default = item.get("default")
if default is not None:
entry["default"] = default
prompt_text = item.get("prompt")
if isinstance(prompt_text, str) and prompt_text.strip():
entry["prompt"] = prompt_text.strip()
else:
entry["prompt"] = desc
seen.add(key)
result.append(entry)
return result
def discover_all_skill_config_vars() -> List[Dict[str, Any]]:
"""Scan all enabled skills and collect their config variable declarations.
Walks every skills directory, parses each SKILL.md frontmatter, and returns
a deduplicated list of config var dicts. Each dict also includes a
``skill`` key with the skill name for attribution.
Disabled and platform-incompatible skills are excluded.
"""
all_vars: List[Dict[str, Any]] = []
seen_keys: set = set()
disabled = get_disabled_skill_names()
for skills_dir in get_all_skills_dirs():
if not skills_dir.is_dir():
continue
for skill_file in iter_skill_index_files(skills_dir, "SKILL.md"):
try:
raw = skill_file.read_text(encoding="utf-8")
frontmatter, _ = parse_frontmatter(raw)
except Exception:
continue
skill_name = frontmatter.get("name") or skill_file.parent.name
if str(skill_name) in disabled:
continue
if not skill_matches_platform(frontmatter):
continue
config_vars = extract_skill_config_vars(frontmatter)
for var in config_vars:
if var["key"] not in seen_keys:
var["skill"] = str(skill_name)
all_vars.append(var)
seen_keys.add(var["key"])
return all_vars
# Storage prefix: all skill config vars are stored under skills.config.*
# in config.yaml. Skill authors declare logical keys (e.g. "wiki.path");
# the system adds this prefix for storage and strips it for display.
SKILL_CONFIG_PREFIX = "skills.config"
def _resolve_dotpath(config: Dict[str, Any], dotted_key: str):
"""Walk a nested dict following a dotted key. Returns None if any part is missing."""
parts = dotted_key.split(".")
current = config
for part in parts:
if isinstance(current, dict) and part in current:
current = current[part]
else:
return None
return current
def resolve_skill_config_values(
config_vars: List[Dict[str, Any]],
) -> Dict[str, Any]:
"""Resolve current values for skill config vars from config.yaml.
Skill config is stored under ``skills.config.<key>`` in config.yaml.
Returns a dict mapping **logical** keys (as declared by skills) to their
current values (or the declared default if the key isn't set).
Path values are expanded via ``os.path.expanduser``.
"""
config_path = get_hermes_home() / "config.yaml"
config: Dict[str, Any] = {}
if config_path.exists():
try:
parsed = yaml_load(config_path.read_text(encoding="utf-8"))
if isinstance(parsed, dict):
config = parsed
except Exception:
pass
resolved: Dict[str, Any] = {}
for var in config_vars:
logical_key = var["key"]
storage_key = f"{SKILL_CONFIG_PREFIX}.{logical_key}"
value = _resolve_dotpath(config, storage_key)
if value is None or (isinstance(value, str) and not value.strip()):
value = var.get("default", "")
# Expand ~ in path-like values
if isinstance(value, str) and ("~" in value or "${" in value):
value = os.path.expanduser(os.path.expandvars(value))
resolved[logical_key] = value
return resolved
# ── Description extraction ────────────────────────────────────────────────

View File

@@ -6,8 +6,6 @@ import os
import re
from typing import Any, Dict, Optional
from utils import is_truthy_value
_COMPLEX_KEYWORDS = {
"debug",
"debugging",
@@ -49,7 +47,13 @@ _URL_RE = re.compile(r"https?://|www\.", re.IGNORECASE)
def _coerce_bool(value: Any, default: bool = False) -> bool:
return is_truthy_value(value, default=default)
if value is None:
return default
if isinstance(value, bool):
return value
if isinstance(value, str):
return value.strip().lower() in {"1", "true", "yes", "on"}
return bool(value)
def _coerce_int(value: Any, default: int) -> int:
@@ -123,7 +127,6 @@ def resolve_turn_route(user_message: str, routing_config: Optional[Dict[str, Any
"api_mode": primary.get("api_mode"),
"command": primary.get("command"),
"args": list(primary.get("args") or []),
"credential_pool": primary.get("credential_pool"),
},
"label": None,
"signature": (
@@ -159,7 +162,6 @@ def resolve_turn_route(user_message: str, routing_config: Optional[Dict[str, Any
"api_mode": primary.get("api_mode"),
"command": primary.get("command"),
"args": list(primary.get("args") or []),
"credential_pool": primary.get("credential_pool"),
},
"label": None,
"signature": (

View File

@@ -1,219 +0,0 @@
"""Progressive subdirectory hint discovery.
As the agent navigates into subdirectories via tool calls (read_file, terminal,
search_files, etc.), this module discovers and loads project context files
(AGENTS.md, CLAUDE.md, .cursorrules) from those directories. Discovered hints
are appended to the tool result so the model gets relevant context at the moment
it starts working in a new area of the codebase.
This complements the startup context loading in ``prompt_builder.py`` which only
loads from the CWD. Subdirectory hints are discovered lazily and injected into
the conversation without modifying the system prompt (preserving prompt caching).
Inspired by Block/goose's SubdirectoryHintTracker.
"""
import logging
import os
import re
import shlex
from pathlib import Path
from typing import Dict, Any, Optional, Set
from agent.prompt_builder import _scan_context_content
logger = logging.getLogger(__name__)
# Context files to look for in subdirectories, in priority order.
# Same filenames as prompt_builder.py but we load ALL found (not first-wins)
# since different subdirectories may use different conventions.
_HINT_FILENAMES = [
"AGENTS.md", "agents.md",
"CLAUDE.md", "claude.md",
".cursorrules",
]
# Maximum chars per hint file to prevent context bloat
_MAX_HINT_CHARS = 8_000
# Tool argument keys that typically contain file paths
_PATH_ARG_KEYS = {"path", "file_path", "workdir"}
# Tools that take shell commands where we should extract paths
_COMMAND_TOOLS = {"terminal"}
# How many parent directories to walk up when looking for hints.
# Prevents scanning all the way to / for deeply nested paths.
_MAX_ANCESTOR_WALK = 5
class SubdirectoryHintTracker:
"""Track which directories the agent visits and load hints on first access.
Usage::
tracker = SubdirectoryHintTracker(working_dir="/path/to/project")
# After each tool call:
hints = tracker.check_tool_call("read_file", {"path": "backend/src/main.py"})
if hints:
tool_result += hints # append to the tool result string
"""
def __init__(self, working_dir: Optional[str] = None):
self.working_dir = Path(working_dir or os.getcwd()).resolve()
self._loaded_dirs: Set[Path] = set()
# Pre-mark the working dir as loaded (startup context handles it)
self._loaded_dirs.add(self.working_dir)
def check_tool_call(
self,
tool_name: str,
tool_args: Dict[str, Any],
) -> Optional[str]:
"""Check tool call arguments for new directories and load any hint files.
Returns formatted hint text to append to the tool result, or None.
"""
dirs = self._extract_directories(tool_name, tool_args)
if not dirs:
return None
all_hints = []
for d in dirs:
hints = self._load_hints_for_directory(d)
if hints:
all_hints.append(hints)
if not all_hints:
return None
return "\n\n" + "\n\n".join(all_hints)
def _extract_directories(
self, tool_name: str, args: Dict[str, Any]
) -> list:
"""Extract directory paths from tool call arguments."""
candidates: Set[Path] = set()
# Direct path arguments
for key in _PATH_ARG_KEYS:
val = args.get(key)
if isinstance(val, str) and val.strip():
self._add_path_candidate(val, candidates)
# Shell commands — extract path-like tokens
if tool_name in _COMMAND_TOOLS:
cmd = args.get("command", "")
if isinstance(cmd, str):
self._extract_paths_from_command(cmd, candidates)
return list(candidates)
def _add_path_candidate(self, raw_path: str, candidates: Set[Path]):
"""Resolve a raw path and add its directory + ancestors to candidates.
Walks up from the resolved directory toward the filesystem root,
stopping at the first directory already in ``_loaded_dirs`` (or after
``_MAX_ANCESTOR_WALK`` levels). This ensures that reading
``project/src/main.py`` discovers ``project/AGENTS.md`` even when
``project/src/`` has no hint files of its own.
"""
try:
p = Path(raw_path).expanduser()
if not p.is_absolute():
p = self.working_dir / p
p = p.resolve()
# Use parent if it's a file path (has extension or doesn't exist as dir)
if p.suffix or (p.exists() and p.is_file()):
p = p.parent
# Walk up ancestors — stop at already-loaded or root
for _ in range(_MAX_ANCESTOR_WALK):
if p in self._loaded_dirs:
break
if self._is_valid_subdir(p):
candidates.add(p)
parent = p.parent
if parent == p:
break # filesystem root
p = parent
except (OSError, ValueError):
pass
def _extract_paths_from_command(self, cmd: str, candidates: Set[Path]):
"""Extract path-like tokens from a shell command string."""
try:
tokens = shlex.split(cmd)
except ValueError:
tokens = cmd.split()
for token in tokens:
# Skip flags
if token.startswith("-"):
continue
# Must look like a path (contains / or .)
if "/" not in token and "." not in token:
continue
# Skip URLs
if token.startswith(("http://", "https://", "git@")):
continue
self._add_path_candidate(token, candidates)
def _is_valid_subdir(self, path: Path) -> bool:
"""Check if path is a valid directory to scan for hints."""
if not path.is_dir():
return False
if path in self._loaded_dirs:
return False
return True
def _load_hints_for_directory(self, directory: Path) -> Optional[str]:
"""Load hint files from a directory. Returns formatted text or None."""
self._loaded_dirs.add(directory)
found_hints = []
for filename in _HINT_FILENAMES:
hint_path = directory / filename
if not hint_path.is_file():
continue
try:
content = hint_path.read_text(encoding="utf-8").strip()
if not content:
continue
# Same security scan as startup context loading
content = _scan_context_content(content, filename)
if len(content) > _MAX_HINT_CHARS:
content = (
content[:_MAX_HINT_CHARS]
+ f"\n\n[...truncated {filename}: {len(content):,} chars total]"
)
# Best-effort relative path for display
rel_path = str(hint_path)
try:
rel_path = str(hint_path.relative_to(self.working_dir))
except ValueError:
try:
rel_path = str(hint_path.relative_to(Path.home()))
rel_path = "~/" + rel_path
except ValueError:
pass # keep absolute
found_hints.append((rel_path, content))
# First match wins per directory (like startup loading)
break
except Exception as exc:
logger.debug("Could not read %s: %s", hint_path, exc)
if not found_hints:
return None
sections = []
for rel_path, content in found_hints:
sections.append(
f"[Subdirectory context discovered: {rel_path}]\n{content}"
)
logger.debug(
"Loaded subdirectory hints from %s: %s",
directory,
[h[0] for h in found_hints],
)
return "\n\n".join(sections)

View File

@@ -18,8 +18,7 @@ model:
# "anthropic" - Direct Anthropic API (requires: ANTHROPIC_API_KEY)
# "openai-codex" - OpenAI Codex (requires: hermes login --provider openai-codex)
# "copilot" - GitHub Copilot / GitHub Models (requires: GITHUB_TOKEN)
# "gemini" - Use Google AI Studio direct (requires: GOOGLE_API_KEY or GEMINI_API_KEY)
# "zai" - Use z.ai / ZhipuAI GLM models (requires: GLM_API_KEY)
# "zai" - z.ai / ZhipuAI GLM (requires: GLM_API_KEY)
# "kimi-coding" - Kimi / Moonshot AI (requires: KIMI_API_KEY)
# "minimax" - MiniMax global (requires: MINIMAX_API_KEY)
# "minimax-cn" - MiniMax China (requires: MINIMAX_CN_API_KEY)
@@ -35,12 +34,6 @@ model:
# base_url: "http://localhost:1234/v1"
# No API key needed — local servers typically ignore auth.
#
# For Ollama Cloud (https://ollama.com/pricing):
# provider: "custom"
# base_url: "https://ollama.com/v1"
# Set OLLAMA_API_KEY in .env — automatically picked up when base_url
# points to ollama.com.
#
# Can also be overridden with --provider flag or HERMES_INFERENCE_PROVIDER env var.
provider: "auto"
@@ -316,8 +309,7 @@ compression:
# "auto" - Best available: OpenRouter → Nous Portal → main endpoint (default)
# "openrouter" - Force OpenRouter (requires OPENROUTER_API_KEY)
# "nous" - Force Nous Portal (requires: hermes login)
# "gemini" - Force Google AI Studio direct (requires: GOOGLE_API_KEY or GEMINI_API_KEY)
# "codex" - Force Codex OAuth (requires: hermes model → Codex).
# "codex" - Force Codex OAuth (requires: hermes model → Codex).
# Uses gpt-5.3-codex which supports vision.
# "main" - Use your custom endpoint (OPENAI_BASE_URL + OPENAI_API_KEY).
# Works with OpenAI API, local models, or any OpenAI-compatible
@@ -539,7 +531,7 @@ platform_toolsets:
# terminal - terminal, process
# file - read_file, write_file, patch, search
# browser - browser_navigate, browser_snapshot, browser_click, browser_type,
# browser_scroll, browser_back, browser_press,
# browser_scroll, browser_back, browser_press, browser_close,
# browser_get_images, browser_vision (requires BROWSERBASE_API_KEY)
# vision - vision_analyze (requires OPENROUTER_API_KEY)
# image_gen - image_generate (requires FAL_KEY)
@@ -547,7 +539,7 @@ platform_toolsets:
# skills_hub - skill_hub (search/install/manage from online registries — user-driven only)
# moa - mixture_of_agents (requires OPENROUTER_API_KEY)
# todo - todo (in-memory task planning, no deps)
# tts - text_to_speech (Edge TTS free, or ELEVENLABS/OPENAI/MINIMAX key)
# tts - text_to_speech (Edge TTS free, or ELEVENLABS/OPENAI key)
# cronjob - cronjob (create/list/update/pause/resume/run/remove scheduled tasks)
# rl - rl_list_environments, rl_start_training, etc. (requires TINKER_API_KEY)
#
@@ -576,7 +568,7 @@ platform_toolsets:
# todo - Task planning and tracking for multi-step work
# memory - Persistent memory across sessions (personal notes + user profile)
# session_search - Search and recall past conversations (FTS5 + Gemini Flash summarization)
# tts - Text-to-speech (Edge TTS free, ElevenLabs, OpenAI, MiniMax)
# tts - Text-to-speech (Edge TTS free, ElevenLabs, OpenAI)
# cronjob - Schedule and manage automated tasks (CLI-only)
# rl - RL training tools (Tinker-Atropos)
#
@@ -797,27 +789,6 @@ display:
#
skin: default
# =============================================================================
# Model Aliases — short names for /model command
# =============================================================================
# Map short aliases to exact (model, provider, base_url) tuples.
# Used by /model tab completion and resolve_alias().
# Aliases are checked BEFORE the models.dev catalog, so they can route
# to endpoints not in the catalog (e.g. Ollama Cloud, local servers).
#
# model_aliases:
# opus:
# model: claude-opus-4-6
# provider: anthropic
# qwen:
# model: "qwen3.5:397b"
# provider: custom
# base_url: "https://ollama.com/v1"
# glm:
# model: glm-4.7
# provider: custom
# base_url: "https://ollama.com/v1"
# =============================================================================
# Privacy
# =============================================================================

1179
cli.py

File diff suppressed because it is too large Load Diff

View File

@@ -34,7 +34,7 @@ echo ""
echo -e "${GREEN}[DEPLOY]${NC} Copying config to Ezra..."
# Backup existing
ssh root@$EZRA_HOST "cp $EZRA_HERMES_HOME/config.yaml $EZRA_HERMES_HOME/config.yaml.backup.pre-kimi-$(date +%s) 2>/dev/null || true"
ssh root@$EZRA_HOST "cp $EZRA_HERMES_HOME/config.yaml $EZRA_HERMES_HOME/config.yaml.backup.anthropic-$(date +%s) 2>/dev/null || true"
# Copy new config
scp "$CONFIG_SOURCE" root@$EZRA_HOST:$EZRA_HERMES_HOME/config.yaml
@@ -52,7 +52,7 @@ ssh root@$EZRA_HOST "cd $EZRA_HERMES_HOME && nohup python -m gateway.run > logs/
echo ""
echo -e "${GREEN}[SUCCESS]${NC} Ezra is now running Kimi primary!"
echo ""
echo "Anthropic: BANNED ✓ (removed from all configs)"
echo "Anthropic: FIRED ✓"
echo "Kimi: PRIMARY ✓"
echo ""
echo "To verify: ssh root@$EZRA_HOST 'tail -f $EZRA_HERMES_HOME/logs/gateway.log'"

View File

@@ -1,39 +1,44 @@
model:
default: kimi-k2.5
provider: kimi-coding
toolsets:
- all
# Ezra Configuration - Kimi Primary
# Anthropic removed from chain entirely
# PRIMARY: Kimi for all operations
model: kimi-coding/kimi-for-coding
# Fallback chain: Only local/offline options
# NO anthropic in the chain - quota issues solved
fallback_providers:
- provider: kimi-coding
model: kimi-k2.5
timeout: 120
reason: Kimi coding fallback (front of chain)
- provider: openrouter
model: google/gemini-2.5-pro
base_url: https://openrouter.ai/api/v1
api_key_env: OPENROUTER_API_KEY
timeout: 120
reason: Gemini 2.5 Pro fallback (replaces banned Anthropic)
- provider: openrouter
model: google/gemini-2.5-pro
base_url: https://openrouter.ai/api/v1
api_key_env: OPENROUTER_API_KEY
timeout: 120
reason: Gemini 2.5 Pro via OpenRouter (replaces banned Anthropic)
- provider: ollama
model: gemma4:latest
base_url: http://localhost:11434
timeout: 300
reason: "Terminal fallback \u2014 local Ollama"
agent:
max_turns: 90
reasoning_effort: high
verbose: false
- provider: ollama
model: qwen2.5:7b
base_url: http://localhost:11434
timeout: 120
reason: "Local fallback when Kimi unavailable"
# Provider settings
providers:
kimi-coding:
base_url: https://api.kimi.com/coding/v1
timeout: 60
max_retries: 3
openrouter:
base_url: https://openrouter.ai/api/v1
# Uses KIMI_API_KEY from .env
ollama:
timeout: 120
keep_alive: true
base_url: http://localhost:11434
# REMOVED: anthropic provider entirely
# No more quota issues, no more choking
# Toolsets - Ezra needs these
toolsets:
- hermes-cli
- github
- web
# Agent settings
agent:
max_turns: 90
tool_use_enforcement: auto
# Display settings
display:
show_provider_switches: true

View File

@@ -1,43 +1,53 @@
# Hermes Agent Fallback Configuration
# Primary: kimi-k2.5 | Fallback: gemini-2.5-pro | Terminal: local Ollama
# Anthropic BANNED per BANNED_PROVIDERS.yml (2026-04-09)
# Deploy this to Timmy and Ezra for automatic kimi-coding fallback
model: kimi-k2.5
model: anthropic/claude-opus-4.6
# Fallback chain: Anthropic -> Kimi -> Ollama (local)
fallback_providers:
- provider: kimi-coding
model: kimi-k2.5
timeout: 60
reason: Gemini 2.5 Pro via OpenRouter (replaces banned Anthropic)
- provider: openrouter
model: google/gemini-2.5-pro
base_url: https://openrouter.ai/api/v1
api_key_env: OPENROUTER_API_KEY
timeout: 120
reason: Gemini 2.5 Pro via OpenRouter (replaces banned Anthropic)
- provider: ollama
model: qwen2.5:7b
base_url: http://localhost:11434
timeout: 120
reason: Local fallback for offline operation
- provider: kimi-coding
model: kimi-for-coding
timeout: 60
reason: "Primary fallback when Anthropic quota limited"
- provider: ollama
model: qwen2.5:7b
base_url: http://localhost:11434
timeout: 120
reason: "Local fallback for offline operation"
# Provider settings
providers:
anthropic:
timeout: 30
retry_on_quota: true
max_retries: 2
kimi-coding:
timeout: 60
max_retries: 3
ollama:
timeout: 120
keep_alive: true
# Toolsets
toolsets:
- hermes-cli
- github
- web
- hermes-cli
- github
- web
# Agent settings
agent:
max_turns: 90
tool_use_enforcement: auto
fallback_on_errors:
- rate_limit_exceeded
- quota_exceeded
- timeout
- service_unavailable
- rate_limit_exceeded
- quota_exceeded
- timeout
- service_unavailable
# Display settings
display:
show_fallback_notifications: true
show_provider_switches: true

View File

@@ -1,5 +1,5 @@
#!/bin/bash
# Deploy kimi-primary config to Timmy (Anthropic BANNED)
# Deploy fallback config to Timmy
# Run this from Timmy's VPS or via SSH
set -e
@@ -50,10 +50,10 @@ sleep 2
ssh root@$TIMMY_HOST "cd $TIMMY_HERMES_HOME && nohup python -m gateway.run > logs/gateway.log 2>&1 &"
echo ""
echo -e "${GREEN}[SUCCESS]${NC} Timmy is now running with Kimi primary + Gemini fallback!"
echo -e "${GREEN}[SUCCESS]${NC} Timmy is now running with Anthropic + Kimi fallback!"
echo ""
echo "Kimi: PRIMARY "
echo "Gemini: FALLBACK (via OpenRouter) ✓"
echo "Anthropic: PRIMARY (with quota retry)"
echo "Kimi: FALLBACK ✓"
echo "Ollama: LOCAL FALLBACK ✓"
echo ""
echo "To verify: ssh root@$TIMMY_HOST 'tail -f $TIMMY_HERMES_HOME/logs/gateway.log'"

View File

@@ -26,11 +26,11 @@ from cron.jobs import (
trigger_job,
JOBS_FILE,
)
from cron.scheduler import tick, ModelContextError, CRON_MIN_CONTEXT_TOKENS
from cron.scheduler import tick
__all__ = [
"create_job",
"get_job",
"get_job",
"list_jobs",
"remove_job",
"update_job",
@@ -39,6 +39,4 @@ __all__ = [
"trigger_job",
"tick",
"JOBS_FILE",
"ModelContextError",
"CRON_MIN_CONTEXT_TOKENS",
]

View File

@@ -375,7 +375,6 @@ def create_job(
model: Optional[str] = None,
provider: Optional[str] = None,
base_url: Optional[str] = None,
script: Optional[str] = None,
) -> Dict[str, Any]:
"""
Create a new cron job.
@@ -392,9 +391,6 @@ def create_job(
model: Optional per-job model override
provider: Optional per-job provider override
base_url: Optional per-job base URL override
script: Optional path to a Python script whose stdout is injected into the
prompt each run. The script runs before the agent turn, and its output
is prepended as context. Useful for data collection / change detection.
Returns:
The created job dict
@@ -423,8 +419,6 @@ def create_job(
normalized_model = normalized_model or None
normalized_provider = normalized_provider or None
normalized_base_url = normalized_base_url or None
normalized_script = str(script).strip() if isinstance(script, str) else None
normalized_script = normalized_script or None
label_source = (prompt or (normalized_skills[0] if normalized_skills else None)) or "cron job"
job = {
@@ -436,7 +430,6 @@ def create_job(
"model": normalized_model,
"provider": normalized_provider,
"base_url": normalized_base_url,
"script": normalized_script,
"schedule": parsed_schedule,
"schedule_display": parsed_schedule.get("display", schedule),
"repeat": {
@@ -563,44 +556,6 @@ def trigger_job(job_id: str) -> Optional[Dict[str, Any]]:
)
def run_job_now(job_id: str) -> Optional[Dict[str, Any]]:
"""
Execute a job immediately and persist fresh state.
Unlike trigger_job() which queues for the next scheduler tick,
this runs the job synchronously and returns the result.
Clears stale error state on success.
Returns:
Dict with 'job', 'success', 'output', 'error' keys, or None if not found.
"""
job = get_job(job_id)
if not job:
return None
try:
from cron.scheduler import run_job as _run_job
except ImportError as exc:
return {
"job": job,
"success": False,
"output": None,
"error": f"Cannot import scheduler: {exc}",
}
success, output, final_response, error = _run_job(job)
mark_job_run(job_id, success, error)
updated_job = get_job(job_id) or job
return {
"job": updated_job,
"success": success,
"output": output,
"final_response": final_response,
"error": error,
}
def remove_job(job_id: str) -> bool:
"""Remove a job by ID."""
jobs = load_jobs()

View File

@@ -9,12 +9,11 @@ runs at a time if multiple processes overlap.
"""
import asyncio
import concurrent.futures
import json
import logging
import os
import subprocess
import sys
import traceback
# fcntl is Unix-only; on Windows use msvcrt for file locking
try:
@@ -25,134 +24,17 @@ except ImportError:
import msvcrt
except ImportError:
msvcrt = None
import time
from pathlib import Path
from typing import Optional
# Add parent directory to path for imports BEFORE repo-level imports.
# Without this, standalone invocations (e.g. after `hermes update` reloads
# the module) fail with ModuleNotFoundError for hermes_time et al.
sys.path.insert(0, str(Path(__file__).parent.parent))
from hermes_constants import get_hermes_home
from hermes_cli.config import load_config
from typing import Optional
from hermes_time import now as _hermes_now
logger = logging.getLogger(__name__)
# =====================================================================
# Deploy Sync Guard
# =====================================================================
#
# If the installed run_agent.py diverges from the version scheduler.py
# was written against, every cron job fails with:
# TypeError: AIAgent.__init__() got an unexpected keyword argument '...'
#
# _validate_agent_interface() catches this at the FIRST job, not the
# 55th. It uses inspect.signature() to verify every kwarg we pass is
# accepted by AIAgent.__init__().
#
# Maintaining this list: if you add a kwarg to the AIAgent() call in
# run_job(), add it here too. The guard catches mismatches.
_SCHEDULER_AGENT_KWARGS: set = frozenset({
"model", "api_key", "base_url", "provider", "api_mode",
"acp_command", "acp_args", "max_iterations", "reasoning_config",
"prefill_messages", "providers_allowed", "providers_ignored",
"providers_order", "provider_sort", "disabled_toolsets",
"tool_choice", "quiet_mode", "skip_memory", "platform",
"session_id", "session_db",
})
_agent_interface_validated: bool = False
def _validate_agent_interface() -> None:
"""Verify installed AIAgent.__init__ accepts every kwarg the scheduler passes.
Raises RuntimeError with actionable guidance if params are missing.
Caches result — runs once per gateway process lifetime.
"""
global _agent_interface_validated
if _agent_interface_validated:
return
import inspect
try:
from run_agent import AIAgent
except ImportError as exc:
raise RuntimeError(
f"Cannot import AIAgent: {exc}\n"
"Is hermes-agent installed? Check PYTHONPATH."
) from exc
sig = inspect.signature(AIAgent.__init__)
accepted = set(sig.parameters.keys()) - {"self"}
missing = _SCHEDULER_AGENT_KWARGS - accepted
if missing:
sorted_missing = sorted(missing)
raise RuntimeError(
"Deploy sync guard FAILED — AIAgent.__init__() is missing params:\n"
f" {', '.join(sorted_missing)}\n"
"This means the installed run_agent.py is out of date.\n"
"Fix: pull latest hermes-agent code and restart the gateway.\n"
" cd ~/.hermes/hermes-agent && git pull && source venv/bin/activate"
)
_agent_interface_validated = True
logger.debug("Deploy sync guard passed — %d params verified", len(_SCHEDULER_AGENT_KWARGS))
def _safe_agent_kwargs(kwargs: dict) -> dict:
"""Filter kwargs to only those accepted by installed AIAgent.__init__.
More resilient than _validate_agent_interface() alone: instead of
crashing on mismatch, drops unsupported kwargs and logs a warning.
Jobs run with degraded functionality instead of failing entirely.
Args:
kwargs: The kwargs dict the scheduler wants to pass to AIAgent().
Returns:
A new dict containing only kwargs the installed AIAgent accepts.
"""
import inspect
try:
from run_agent import AIAgent
except ImportError:
# Can't import — pass everything through, let the real error surface
return kwargs
sig = inspect.signature(AIAgent.__init__)
accepted = set(sig.parameters.keys()) - {"self"}
safe = {}
dropped = []
for key, value in kwargs.items():
if key in accepted:
safe[key] = value
else:
dropped.append(key)
if dropped:
logger.warning(
"Dropping unsupported AIAgent kwargs (stale install?): %s",
", ".join(sorted(dropped)),
)
return safe
# Valid delivery platforms — used to validate user-supplied platform names
# in cron delivery targets, preventing env var enumeration via crafted names.
_KNOWN_DELIVERY_PLATFORMS = frozenset({
"telegram", "discord", "slack", "whatsapp", "signal",
"matrix", "mattermost", "homeassistant", "dingtalk", "feishu",
"wecom", "sms", "email", "webhook",
})
# Add parent directory to path for imports
sys.path.insert(0, str(Path(__file__).parent.parent))
from cron.jobs import get_due_jobs, mark_job_run, save_job_output, advance_next_run
@@ -160,72 +42,6 @@ from cron.jobs import get_due_jobs, mark_job_run, save_job_output, advance_next_
# response with this marker to suppress delivery. Output is still saved
# locally for audit.
SILENT_MARKER = "[SILENT]"
SCRIPT_FAILED_MARKER = "[SCRIPT_FAILED]"
# Failure phrases that indicate an external script/command failed, even when
# the agent doesn't use the [SCRIPT_FAILED] marker. Matched case-insensitively
# against the final response. These are strong signals — agents rarely use
# these words when a script succeeded.
_SCRIPT_FAILURE_PHRASES = (
"timed out",
"timeout",
"connection error",
"connection refused",
"connection reset",
"failed to execute",
"failed due to",
"script failed",
"script error",
"command failed",
"exit code",
"exit status",
"non-zero exit",
"did not complete",
"could not run",
"unable to execute",
"permission denied",
"no such file",
"traceback",
)
def _detect_script_failure(final_response: str) -> Optional[str]:
"""Detect script failure from agent's final response.
Returns a reason string if failure detected, None otherwise.
Checks both the explicit [SCRIPT_FAILED] marker and heuristic patterns.
"""
if not final_response:
return None
# 1. Explicit marker — highest confidence.
if SCRIPT_FAILED_MARKER in final_response.upper():
import re as _re
_m = _re.search(
r'\[SCRIPT_FAILED\]\s*:?\s*(.*)',
final_response,
_re.IGNORECASE,
)
reason = _m.group(1).strip() if _m and _m.group(1).strip() else None
return reason or "Agent reported script failure"
# 2. Heuristic detection — catch failures described in natural language.
# Only flag if the response contains failure language AND does NOT
# contain success markers like [NOOP] (which means the script ran fine
# but found nothing).
lower = final_response.lower()
has_noop = "[noop]" in lower
has_silent = "[silent]" in lower
if has_noop or has_silent:
return None # Agent explicitly signaled success/nothing-to-report
for phrase in _SCRIPT_FAILURE_PHRASES:
if phrase in lower:
return f"Detected script failure phrase: '{phrase}'"
return None
# Resolve Hermes home directory (respects HERMES_HOME override)
_hermes_home = get_hermes_home()
@@ -256,51 +72,34 @@ def _resolve_delivery_target(job: dict) -> Optional[dict]:
return None
if deliver == "origin":
if origin:
return {
"platform": origin["platform"],
"chat_id": str(origin["chat_id"]),
"thread_id": origin.get("thread_id"),
}
# Origin missing (e.g. job created via API/script) — try each
# platform's home channel as a fallback instead of silently dropping.
for platform_name in ("matrix", "telegram", "discord", "slack"):
chat_id = os.getenv(f"{platform_name.upper()}_HOME_CHANNEL", "")
if chat_id:
logger.info(
"Job '%s' has deliver=origin but no origin; falling back to %s home channel",
job.get("name", job.get("id", "?")),
platform_name,
)
return {
"platform": platform_name,
"chat_id": chat_id,
"thread_id": None,
}
return None
if not origin:
return None
return {
"platform": origin["platform"],
"chat_id": str(origin["chat_id"]),
"thread_id": origin.get("thread_id"),
}
if ":" in deliver:
platform_name, rest = deliver.split(":", 1)
platform_key = platform_name.lower()
from tools.send_message_tool import _parse_target_ref
parsed_chat_id, parsed_thread_id, is_explicit = _parse_target_ref(platform_key, rest)
if is_explicit:
chat_id, thread_id = parsed_chat_id, parsed_thread_id
# Check for thread_id suffix (e.g. "telegram:-1003724596514:17")
if ":" in rest:
chat_id, thread_id = rest.split(":", 1)
else:
chat_id, thread_id = rest, None
# Resolve human-friendly labels like "Alice (dm)" to real IDs.
# send_message(action="list") shows labels with display suffixes
# that aren't valid platform IDs (e.g. WhatsApp JIDs).
try:
from gateway.channel_directory import resolve_channel_name
resolved = resolve_channel_name(platform_key, chat_id)
target = chat_id
# Strip display suffix like " (dm)" or " (group)"
if target.endswith(")") and " (" in target:
target = target.rsplit(" (", 1)[0].strip()
resolved = resolve_channel_name(platform_name.lower(), target)
if resolved:
parsed_chat_id, parsed_thread_id, resolved_is_explicit = _parse_target_ref(platform_key, resolved)
if resolved_is_explicit:
chat_id, thread_id = parsed_chat_id, parsed_thread_id
else:
chat_id = resolved
chat_id = resolved
except Exception:
pass
@@ -318,8 +117,6 @@ def _resolve_delivery_target(job: dict) -> Optional[dict]:
"thread_id": origin.get("thread_id"),
}
if platform_name.lower() not in _KNOWN_DELIVERY_PLATFORMS:
return None
chat_id = os.getenv(f"{platform_name.upper()}_HOME_CHANNEL", "")
if not chat_id:
return None
@@ -331,14 +128,12 @@ def _resolve_delivery_target(job: dict) -> Optional[dict]:
}
def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> None:
def _deliver_result(job: dict, content: str) -> None:
"""
Deliver job output to the configured target (origin chat, specific platform, etc.).
When ``adapters`` and ``loop`` are provided (gateway is running), tries to
use the live adapter first — this supports E2EE rooms (e.g. Matrix) where
the standalone HTTP path cannot encrypt. Falls back to standalone send if
the adapter path fails or is unavailable.
Uses the standalone platform send functions from send_message_tool so delivery
works whether or not the gateway is running.
"""
target = _resolve_delivery_target(job)
if not target:
@@ -409,38 +204,8 @@ def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> None:
else:
delivery_content = content
# Extract MEDIA: tags so attachments are forwarded as files, not raw text
from gateway.platforms.base import BasePlatformAdapter
media_files, cleaned_delivery_content = BasePlatformAdapter.extract_media(delivery_content)
# Prefer the live adapter when the gateway is running — this supports E2EE
# rooms (e.g. Matrix) where the standalone HTTP path cannot encrypt.
runtime_adapter = (adapters or {}).get(platform)
if runtime_adapter is not None and loop is not None and getattr(loop, "is_running", lambda: False)():
send_metadata = {"thread_id": thread_id} if thread_id else None
try:
future = asyncio.run_coroutine_threadsafe(
runtime_adapter.send(chat_id, delivery_content, metadata=send_metadata),
loop,
)
send_result = future.result(timeout=60)
if send_result and not getattr(send_result, "success", True):
err = getattr(send_result, "error", "unknown")
logger.warning(
"Job '%s': live adapter send to %s:%s failed (%s), falling back to standalone",
job["id"], platform_name, chat_id, err,
)
else:
logger.info("Job '%s': delivered to %s:%s via live adapter", job["id"], platform_name, chat_id)
return
except Exception as e:
logger.warning(
"Job '%s': live adapter delivery to %s:%s failed (%s), falling back to standalone",
job["id"], platform_name, chat_id, e,
)
# Standalone path: run the async send in a fresh event loop (safe from any thread)
coro = _send_to_platform(platform, pconfig, chat_id, cleaned_delivery_content, thread_id=thread_id, media_files=media_files)
# Run the async send in a fresh event loop (safe from any thread)
coro = _send_to_platform(platform, pconfig, chat_id, delivery_content, thread_id=thread_id)
try:
result = asyncio.run(coro)
except RuntimeError:
@@ -451,7 +216,7 @@ def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> None:
coro.close()
import concurrent.futures
with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool:
future = pool.submit(asyncio.run, _send_to_platform(platform, pconfig, chat_id, cleaned_delivery_content, thread_id=thread_id, media_files=media_files))
future = pool.submit(asyncio.run, _send_to_platform(platform, pconfig, chat_id, delivery_content, thread_id=thread_id))
result = future.result(timeout=30)
except Exception as e:
logger.error("Job '%s': delivery to %s:%s failed: %s", job["id"], platform_name, chat_id, e)
@@ -463,140 +228,22 @@ def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> None:
logger.info("Job '%s': delivered to %s:%s", job["id"], platform_name, chat_id)
_SCRIPT_TIMEOUT = 120 # seconds
def _run_job_script(script_path: str) -> tuple[bool, str]:
"""Execute a cron job's data-collection script and capture its output.
Scripts must reside within HERMES_HOME/scripts/. Both relative and
absolute paths are resolved and validated against this directory to
prevent arbitrary script execution via path traversal or absolute
path injection.
Args:
script_path: Path to a Python script. Relative paths are resolved
against HERMES_HOME/scripts/. Absolute and ~-prefixed paths
are also validated to ensure they stay within the scripts dir.
Returns:
(success, output) — on failure *output* contains the error message so the
LLM can report the problem to the user.
"""
from hermes_constants import get_hermes_home
scripts_dir = get_hermes_home() / "scripts"
scripts_dir.mkdir(parents=True, exist_ok=True)
scripts_dir_resolved = scripts_dir.resolve()
raw = Path(script_path).expanduser()
if raw.is_absolute():
path = raw.resolve()
else:
path = (scripts_dir / raw).resolve()
# Guard against path traversal, absolute path injection, and symlink
# escape — scripts MUST reside within HERMES_HOME/scripts/.
try:
path.relative_to(scripts_dir_resolved)
except ValueError:
return False, (
f"Blocked: script path resolves outside the scripts directory "
f"({scripts_dir_resolved}): {script_path!r}"
)
if not path.exists():
return False, f"Script not found: {path}"
if not path.is_file():
return False, f"Script path is not a file: {path}"
try:
result = subprocess.run(
[sys.executable, str(path)],
capture_output=True,
text=True,
timeout=_SCRIPT_TIMEOUT,
cwd=str(path.parent),
)
stdout = (result.stdout or "").strip()
stderr = (result.stderr or "").strip()
if result.returncode != 0:
parts = [f"Script exited with code {result.returncode}"]
if stderr:
parts.append(f"stderr:\n{stderr}")
if stdout:
parts.append(f"stdout:\n{stdout}")
return False, "\n".join(parts)
# Redact any secrets that may appear in script output before
# they are injected into the LLM prompt context.
try:
from agent.redact import redact_sensitive_text
stdout = redact_sensitive_text(stdout)
except Exception:
pass
return True, stdout
except subprocess.TimeoutExpired:
return False, f"Script timed out after {_SCRIPT_TIMEOUT}s: {path}"
except Exception as exc:
return False, f"Script execution failed: {exc}"
def _build_job_prompt(job: dict) -> str:
"""Build the effective prompt for a cron job, optionally loading one or more skills first."""
prompt = job.get("prompt", "")
skills = job.get("skills")
# Run data-collection script if configured, inject output as context.
script_path = job.get("script")
if script_path:
success, script_output = _run_job_script(script_path)
if success:
if script_output:
prompt = (
"## Script Output\n"
"The following data was collected by a pre-run script. "
"Use it as context for your analysis.\n\n"
f"```\n{script_output}\n```\n\n"
f"{prompt}"
)
else:
prompt = (
"[Script ran successfully but produced no output.]\n\n"
f"{prompt}"
)
else:
prompt = (
"## Script Error\n"
"The data-collection script failed. Report this to the user.\n\n"
f"```\n{script_output}\n```\n\n"
f"{prompt}"
)
# Always prepend cron execution guidance so the agent knows how
# delivery works and can suppress delivery when appropriate.
cron_hint = (
"[SYSTEM: You are running as a scheduled cron job. "
"DELIVERY: Your final response will be automatically delivered "
"to the user — do NOT use send_message or try to deliver "
"the output yourself. Just produce your report/output as your "
"final response and the system handles the rest. "
"SILENT: If there is genuinely nothing new to report, respond "
"with exactly \"[SILENT]\" (nothing else) to suppress delivery. "
# Always prepend [SILENT] guidance so the cron agent can suppress
# delivery when it has nothing new or noteworthy to report.
silent_hint = (
"[SYSTEM: If you have a meaningful status report or findings, "
"send them — that is the whole point of this job. Only respond "
"with exactly \"[SILENT]\" (nothing else) when there is genuinely "
"nothing new to report. [SILENT] suppresses delivery to the user. "
"Never combine [SILENT] with content — either report your "
"findings normally, or say [SILENT] and nothing more. "
"SCRIPT_FAILURE: If an external command or script you ran "
"failed (timeout, crash, connection error, non-zero exit), you MUST "
"respond with "
"\"[SCRIPT_FAILED]: <one-line reason>\" as the FIRST LINE of your "
"response. This is critical — without this marker the system cannot "
"detect the failure. Examples: "
"\"[SCRIPT_FAILED]: forge.alexanderwhitestone.com timed out\" "
"\"[SCRIPT_FAILED]: script exited with code 1\".]\\n\\n"
"findings normally, or say [SILENT] and nothing more.]\n\n"
)
prompt = cron_hint + prompt
prompt = silent_hint + prompt
if skills is None:
legacy = job.get("skill")
skills = [legacy] if legacy else []
@@ -649,10 +296,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
Returns:
Tuple of (success, full_output_doc, final_response, error_message)
"""
# Deploy sync guard — fail fast on first job if the installed
# AIAgent.__init__ is missing params the scheduler expects.
_validate_agent_interface()
from run_agent import AIAgent
# Initialize SQLite session store so cron job messages are persisted
@@ -673,14 +316,14 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
logger.info("Running job '%s' (ID: %s)", job_name, job_id)
logger.info("Prompt: %s", prompt[:100])
# Inject origin context so the agent's send_message tool knows the chat
if origin:
os.environ["HERMES_SESSION_PLATFORM"] = origin["platform"]
os.environ["HERMES_SESSION_CHAT_ID"] = str(origin["chat_id"])
if origin.get("chat_name"):
os.environ["HERMES_SESSION_CHAT_NAME"] = origin["chat_name"]
try:
# Inject origin context so the agent's send_message tool knows the chat.
# Must be INSIDE the try block so the finally cleanup always runs.
if origin:
os.environ["HERMES_SESSION_PLATFORM"] = origin["platform"]
os.environ["HERMES_SESSION_CHAT_ID"] = str(origin["chat_id"])
if origin.get("chat_name"):
os.environ["HERMES_SESSION_CHAT_NAME"] = origin["chat_name"]
# Re-read .env and config.yaml fresh every run so provider/key
# changes take effect without a gateway restart.
from dotenv import load_dotenv
@@ -777,173 +420,34 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
},
)
_agent_kwargs = _safe_agent_kwargs({
"model": turn_route["model"],
"api_key": turn_route["runtime"].get("api_key"),
"base_url": turn_route["runtime"].get("base_url"),
"provider": turn_route["runtime"].get("provider"),
"api_mode": turn_route["runtime"].get("api_mode"),
"acp_command": turn_route["runtime"].get("command"),
"acp_args": turn_route["runtime"].get("args"),
"max_iterations": max_iterations,
"reasoning_config": reasoning_config,
"prefill_messages": prefill_messages,
"providers_allowed": pr.get("only"),
"providers_ignored": pr.get("ignore"),
"providers_order": pr.get("order"),
"provider_sort": pr.get("sort"),
"disabled_toolsets": ["cronjob", "messaging", "clarify"],
"tool_choice": "required",
"quiet_mode": True,
"skip_memory": True, # Cron system prompts would corrupt user representations
"platform": "cron",
"session_id": _cron_session_id,
"session_db": _session_db,
})
agent = AIAgent(**_agent_kwargs)
agent = AIAgent(
model=turn_route["model"],
api_key=turn_route["runtime"].get("api_key"),
base_url=turn_route["runtime"].get("base_url"),
provider=turn_route["runtime"].get("provider"),
api_mode=turn_route["runtime"].get("api_mode"),
acp_command=turn_route["runtime"].get("command"),
acp_args=turn_route["runtime"].get("args"),
max_iterations=max_iterations,
reasoning_config=reasoning_config,
prefill_messages=prefill_messages,
providers_allowed=pr.get("only"),
providers_ignored=pr.get("ignore"),
providers_order=pr.get("order"),
provider_sort=pr.get("sort"),
disabled_toolsets=["cronjob", "messaging", "clarify"],
quiet_mode=True,
platform="cron",
session_id=_cron_session_id,
session_db=_session_db,
)
result = agent.run_conversation(prompt)
# Run the agent with an *inactivity*-based timeout: the job can run
# for hours if it's actively calling tools / receiving stream tokens,
# but a hung API call or stuck tool with no activity for the configured
# duration is caught and killed. Default 600s (10 min inactivity);
# override via HERMES_CRON_TIMEOUT env var. 0 = unlimited.
#
# Uses the agent's built-in activity tracker (updated by
# _touch_activity() on every tool call, API call, and stream delta).
_cron_timeout = float(os.getenv("HERMES_CRON_TIMEOUT", 600))
_cron_inactivity_limit = _cron_timeout if _cron_timeout > 0 else None
_POLL_INTERVAL = 5.0
# Guard against interpreter shutdown: ThreadPoolExecutor.submit()
# raises RuntimeError("cannot schedule new futures after interpreter
# shutdown") when Python is finalizing (e.g. gateway restart races).
# Fall back to synchronous execution so the job at least attempts.
_cron_pool = None
try:
_cron_pool = concurrent.futures.ThreadPoolExecutor(max_workers=1)
_cron_future = _cron_pool.submit(agent.run_conversation, prompt)
except RuntimeError:
logger.warning(
"Job '%s': ThreadPoolExecutor unavailable (interpreter shutdown?) "
"— falling back to synchronous execution",
job_name,
)
if _cron_pool is not None:
try:
_cron_pool.shutdown(wait=False)
except Exception:
pass
_cron_pool = None
result = agent.run_conversation(prompt)
final_response = result.get("final_response", "") or ""
logged_response = final_response if final_response else "(No response generated)"
output = f"""# Cron Job: {job_name}
**Job ID:** {job_id}
**Run Time:** {_hermes_now().strftime('%Y-%m-%d %H:%M:%S')}
**Schedule:** {job.get('schedule_display', 'N/A')}
## Prompt
{prompt}
## Response
{logged_response}
"""
logger.info("Job '%s' completed (sync fallback)", job_name)
return True, output, final_response, None
_inactivity_timeout = False
try:
if _cron_inactivity_limit is None:
# Unlimited — just wait for the result.
result = _cron_future.result()
else:
result = None
while True:
done, _ = concurrent.futures.wait(
{_cron_future}, timeout=_POLL_INTERVAL,
)
if done:
result = _cron_future.result()
break
# Agent still running — check inactivity.
_idle_secs = 0.0
if hasattr(agent, "get_activity_summary"):
try:
_act = agent.get_activity_summary()
_idle_secs = _act.get("seconds_since_activity", 0.0)
except Exception:
pass
if _idle_secs >= _cron_inactivity_limit:
_inactivity_timeout = True
break
except Exception:
if _cron_pool is not None:
_cron_pool.shutdown(wait=False, cancel_futures=True)
raise
finally:
if _cron_pool is not None:
_cron_pool.shutdown(wait=False)
if _inactivity_timeout:
# Build diagnostic summary from the agent's activity tracker.
_activity = {}
if hasattr(agent, "get_activity_summary"):
try:
_activity = agent.get_activity_summary()
except Exception:
pass
_last_desc = _activity.get("last_activity_desc", "unknown")
_secs_ago = _activity.get("seconds_since_activity", 0)
_cur_tool = _activity.get("current_tool")
_iter_n = _activity.get("api_call_count", 0)
_iter_max = _activity.get("max_iterations", 0)
logger.error(
"Job '%s' idle for %.0fs (inactivity limit %.0fs) "
"| last_activity=%s | iteration=%s/%s | tool=%s",
job_name, _secs_ago, _cron_inactivity_limit,
_last_desc, _iter_n, _iter_max,
_cur_tool or "none",
)
if hasattr(agent, "interrupt"):
agent.interrupt("Cron job timed out (inactivity)")
raise TimeoutError(
f"Cron job '{job_name}' idle for "
f"{int(_secs_ago)}s (limit {int(_cron_inactivity_limit)}s) "
f"— last activity: {_last_desc}"
)
final_response = result.get("final_response", "") or ""
# Use a separate variable for log display; keep final_response clean
# for delivery logic (empty response = no delivery).
logged_response = final_response if final_response else "(No response generated)"
# Check for script failure — both explicit [SCRIPT_FAILED] marker
# and heuristic detection for failures described in natural language.
_script_failed_reason = _detect_script_failure(final_response)
if _script_failed_reason is not None:
logger.warning(
"Job '%s': agent reported script failure — %s",
job_name, _script_failed_reason,
)
output = f"""# Cron Job: {job_name} (SCRIPT FAILED)
**Job ID:** {job_id}
**Run Time:** {_hermes_now().strftime('%Y-%m-%d %H:%M:%S')}
**Schedule:** {job.get('schedule_display', 'N/A')}
## Prompt
{prompt}
## Response
{logged_response}
"""
return False, output, final_response, _script_failed_reason
output = f"""# Cron Job: {job_name}
@@ -965,7 +469,7 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
except Exception as e:
error_msg = f"{type(e).__name__}: {str(e)}"
logger.exception("Job '%s' failed: %s", job_name, error_msg)
logger.error("Job '%s' failed: %s", job_name, error_msg)
output = f"""# Cron Job: {job_name} (FAILED)
@@ -981,6 +485,8 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
```
{error_msg}
{traceback.format_exc()}
```
"""
return False, output, "", error_msg
@@ -1007,7 +513,7 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
logger.debug("Job '%s': failed to close SQLite session store: %s", job_id, e)
def tick(verbose: bool = True, adapters=None, loop=None) -> int:
def tick(verbose: bool = True) -> int:
"""
Check and run all due jobs.
@@ -1016,8 +522,6 @@ def tick(verbose: bool = True, adapters=None, loop=None) -> int:
Args:
verbose: Whether to print status messages
adapters: Optional dict mapping Platform → live adapter (from gateway)
loop: Optional asyncio event loop (from gateway) for live adapter sends
Returns:
Number of jobs executed (0 if another tick is already running)
@@ -1050,16 +554,6 @@ def tick(verbose: bool = True, adapters=None, loop=None) -> int:
executed = 0
for job in due_jobs:
# If the interpreter is shutting down (e.g. gateway restart),
# stop processing immediately — ThreadPoolExecutor.submit()
# will raise RuntimeError for every remaining job.
if sys.is_finalizing():
logger.warning(
"Interpreter finalizing — skipping %d remaining job(s)",
len(due_jobs) - executed,
)
break
try:
# For recurring jobs (cron/interval), advance next_run_at to the
# next future occurrence BEFORE execution. This way, if the
@@ -1078,13 +572,13 @@ def tick(verbose: bool = True, adapters=None, loop=None) -> int:
# output is already saved above). Failed jobs always deliver.
deliver_content = final_response if success else f"⚠️ Cron job '{job.get('name', job['id'])}' failed:\n{error}"
should_deliver = bool(deliver_content)
if should_deliver and success and SILENT_MARKER in deliver_content.strip().upper():
if should_deliver and success and deliver_content.strip().upper().startswith(SILENT_MARKER):
logger.info("Job '%s': agent returned %s — skipping delivery", job["id"], SILENT_MARKER)
should_deliver = False
if should_deliver:
try:
_deliver_result(job, deliver_content, adapters=adapters, loop=loop)
_deliver_result(job, deliver_content)
except Exception as de:
logger.error("Delivery failed for job %s: %s", job["id"], de)

View File

@@ -1,33 +0,0 @@
# docker-compose.override.yml.example
#
# Copy this file to docker-compose.override.yml and uncomment sections as needed.
# Override files are merged on top of docker-compose.yml automatically.
# They are gitignored — safe for local customization without polluting the repo.
services:
hermes:
# --- Local build (for development) ---
# build:
# context: ..
# dockerfile: ../Dockerfile
# target: development
# --- Expose gateway port externally (dev only — not for production) ---
# ports:
# - "8642:8642"
# --- Attach to a custom network shared with other local services ---
# networks:
# - myapp_network
# --- Override resource limits for a smaller VPS ---
# deploy:
# resources:
# limits:
# cpus: "0.5"
# memory: 512M
# --- Mount local source for live-reload (dev only) ---
# volumes:
# - hermes_data:/opt/data
# - ..:/opt/hermes:ro

View File

@@ -1,85 +0,0 @@
# Hermes Agent — Docker Compose Stack
# Brings up the agent + messaging gateway as a single unit.
#
# Usage:
# docker compose up -d # start in background
# docker compose logs -f # follow logs
# docker compose down # stop and remove containers
# docker compose pull && docker compose up -d # rolling update
#
# Secrets:
# Never commit .env to version control. Copy .env.example → .env and fill it in.
# See DEPLOY.md for the full environment-variable reference.
services:
hermes:
image: ghcr.io/nousresearch/hermes-agent:latest
# To build locally instead:
# build:
# context: ..
# dockerfile: ../Dockerfile
container_name: hermes-agent
restart: unless-stopped
# Bind-mount the data volume so state (sessions, logs, memories, cron)
# survives container replacement.
volumes:
- hermes_data:/opt/data
# Load secrets from the .env file next to docker-compose.yml.
# The file is bind-mounted at runtime; it is NOT baked into the image.
env_file:
- ../.env
environment:
# Override the data directory so it always points at the volume.
HERMES_HOME: /opt/data
# Expose the OpenAI-compatible API server (if api_server platform enabled).
# Comment out or remove if you are not using the API server.
ports:
- "127.0.0.1:8642:8642"
healthcheck:
# Hits the API server's /health endpoint. The gateway writes its own
# health state to /opt/data/gateway_state.json — checked by the
# health-check script in scripts/deploy-validate.
test: ["CMD", "python3", "-c",
"import urllib.request; urllib.request.urlopen('http://localhost:8642/health', timeout=5)"]
interval: 30s
timeout: 10s
retries: 3
start_period: 60s
# The container does not need internet on a private network;
# restrict egress as needed via your host firewall.
networks:
- hermes_net
logging:
driver: "json-file"
options:
max-size: "50m"
max-file: "5"
# Resource limits: tune for your VPS size.
# 2 GB RAM and 1.5 CPUs work for most conversational workloads.
deploy:
resources:
limits:
cpus: "1.5"
memory: 2G
reservations:
memory: 512M
volumes:
hermes_data:
# Named volume — Docker manages the lifecycle.
# To inspect: docker volume inspect hermes_data
# To back up:
# docker run --rm -v hermes_data:/data -v $(pwd):/backup \
# alpine tar czf /backup/hermes_data_$(date +%F).tar.gz /data
networks:
hermes_net:
driver: bridge

View File

@@ -1,59 +0,0 @@
# systemd unit — Hermes Agent (interactive CLI / headless agent)
#
# Install:
# sudo cp hermes-agent.service /etc/systemd/system/
# sudo systemctl daemon-reload
# sudo systemctl enable --now hermes-agent
#
# This unit runs the Hermes CLI in headless / non-interactive mode, meaning the
# agent loop stays alive but does not present a TUI. It is appropriate for
# dedicated VPS deployments where you want the agent always running and
# accessible via the messaging gateway or API server.
#
# If you only want the messaging gateway, use hermes-gateway.service instead.
# Running both units simultaneously is safe — they share ~/.hermes by default.
[Unit]
Description=Hermes Agent
Documentation=https://hermes-agent.nousresearch.com/docs/
After=network-online.target
Wants=network-online.target
[Service]
Type=simple
User=hermes
Group=hermes
# The working directory — adjust if Hermes is installed elsewhere.
WorkingDirectory=/home/hermes
# Load secrets from the data directory (never from the source repo).
EnvironmentFile=/home/hermes/.hermes/.env
# Run the gateway; add --replace if restarting over a stale PID file.
ExecStart=/home/hermes/.local/bin/hermes gateway start
# Graceful stop: send SIGTERM and wait up to 30 s before SIGKILL.
ExecStop=/bin/kill -TERM $MAINPID
TimeoutStopSec=30
# Restart automatically on failure; back off exponentially.
Restart=on-failure
RestartSec=5s
StartLimitBurst=5
StartLimitIntervalSec=60s
# Security hardening — tighten as appropriate for your deployment.
NoNewPrivileges=true
PrivateTmp=true
ProtectSystem=strict
ProtectHome=read-only
ReadWritePaths=/home/hermes/.hermes /home/hermes/.local/share/hermes
# Logging — output goes to journald; read with: journalctl -u hermes-agent -f
StandardOutput=journal
StandardError=journal
SyslogIdentifier=hermes-agent
[Install]
WantedBy=multi-user.target

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@@ -1,59 +0,0 @@
# systemd unit — Hermes Gateway (messaging platform adapter)
#
# Install:
# sudo cp hermes-gateway.service /etc/systemd/system/
# sudo systemctl daemon-reload
# sudo systemctl enable --now hermes-gateway
#
# The gateway connects Hermes to Telegram, Discord, Slack, WhatsApp, Signal,
# and other platforms. It is a long-running asyncio process that bridges
# inbound messages to the agent and routes responses back.
#
# See DEPLOY.md for environment variable configuration.
[Unit]
Description=Hermes Gateway (messaging platform bridge)
Documentation=https://hermes-agent.nousresearch.com/docs/user-guide/messaging
After=network-online.target
Wants=network-online.target
[Service]
Type=simple
User=hermes
Group=hermes
WorkingDirectory=/home/hermes
# Load environment (API keys, platform tokens, etc.) from the data directory.
EnvironmentFile=/home/hermes/.hermes/.env
# --replace clears stale PID/lock files from an unclean previous shutdown.
ExecStart=/home/hermes/.local/bin/hermes gateway start --replace
# Pre-start hook: write a timestamped marker so rollback can diff against it.
ExecStartPre=/bin/sh -c 'echo "$(date -u +%%Y-%%m-%%dT%%H:%%M:%%SZ) gateway starting" >> /home/hermes/.hermes/logs/deploy.log'
# Post-stop hook: log shutdown time for audit trail.
ExecStopPost=/bin/sh -c 'echo "$(date -u +%%Y-%%m-%%dT%%H:%%M:%%SZ) gateway stopped" >> /home/hermes/.hermes/logs/deploy.log'
ExecStop=/bin/kill -TERM $MAINPID
TimeoutStopSec=30
Restart=on-failure
RestartSec=5s
StartLimitBurst=5
StartLimitIntervalSec=60s
# Security hardening.
NoNewPrivileges=true
PrivateTmp=true
ProtectSystem=strict
ProtectHome=read-only
ReadWritePaths=/home/hermes/.hermes /home/hermes/.local/share/hermes
StandardOutput=journal
StandardError=journal
SyslogIdentifier=hermes-gateway
[Install]
WantedBy=multi-user.target

View File

@@ -1,56 +0,0 @@
# Bezalel's Devkit — Shared Tools for the Wizard Fleet
This directory contains reusable CLI tools and Python modules for CI, testing, deployment, observability, and Gitea automation. Any wizard can invoke them via `python -m devkit.<tool>`.
## Tools
### `gitea_client` — Gitea API Client
List issues/PRs, post comments, create PRs, update issues.
```bash
python -m devkit.gitea_client issues --state open --limit 20
python -m devkit.gitea_client create-comment --number 142 --body "Update from Bezalel"
python -m devkit.gitea_client prs --state open
```
### `health` — Fleet Health Monitor
Checks system load, disk, memory, running processes, and key package versions.
```bash
python -m devkit.health --threshold-load 1.0 --threshold-disk 90.0 --fail-on-critical
```
### `notebook_runner` — Notebook Execution Wrapper
Parameterizes and executes Jupyter notebooks via Papermill with structured JSON reporting.
```bash
python -m devkit.notebook_runner task.ipynb output.ipynb -p threshold=1.0 -p hostname=forge
```
### `smoke_test` — Fast Smoke Test Runner
Runs core import checks, CLI entrypoint tests, and one bare green-path E2E.
```bash
python -m devkit.smoke_test --verbose
```
### `secret_scan` — Secret Leak Scanner
Scans the repo for API keys, tokens, and private keys.
```bash
python -m devkit.secret_scan --path . --fail-on-find
```
### `wizard_env` — Environment Validator
Checks that a wizard environment has all required binaries, env vars, Python packages, and Hermes config.
```bash
python -m devkit.wizard_env --json --fail-on-incomplete
```
## Philosophy
- **CLI-first** — Every tool is runnable as `python -m devkit.<tool>`
- **JSON output** — Easy to parse from other agents and CI pipelines
- **Zero dependencies beyond stdlib** where possible; optional heavy deps are runtime-checked
- **Fail-fast** — Exit codes are meaningful for CI gating

View File

@@ -1,9 +0,0 @@
"""
Bezalel's Devkit — Shared development tools for the wizard fleet.
A collection of CLI-accessible utilities for CI, testing, deployment,
observability, and Gitea automation. Designed to be used by any agent
via subprocess or direct Python import.
"""
__version__ = "0.1.0"

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@@ -1,153 +0,0 @@
#!/usr/bin/env python3
"""
Shared Gitea API client for wizard fleet automation.
Usage as CLI:
python -m devkit.gitea_client issues --repo Timmy_Foundation/hermes-agent --state open
python -m devkit.gitea_client issue --repo Timmy_Foundation/hermes-agent --number 142
python -m devkit.gitea_client create-comment --repo Timmy_Foundation/hermes-agent --number 142 --body "Update from Bezalel"
python -m devkit.gitea_client prs --repo Timmy_Foundation/hermes-agent --state open
Usage as module:
from devkit.gitea_client import GiteaClient
client = GiteaClient()
issues = client.list_issues("Timmy_Foundation/hermes-agent", state="open")
"""
import argparse
import json
import os
import sys
from typing import Any, Dict, List, Optional
import urllib.request
DEFAULT_BASE_URL = os.getenv("GITEA_URL", "https://forge.alexanderwhitestone.com")
DEFAULT_TOKEN = os.getenv("GITEA_TOKEN", "")
class GiteaClient:
def __init__(self, base_url: str = DEFAULT_BASE_URL, token: str = DEFAULT_TOKEN):
self.base_url = base_url.rstrip("/")
self.token = token or ""
def _request(
self,
method: str,
path: str,
data: Optional[Dict[str, Any]] = None,
headers: Optional[Dict[str, str]] = None,
) -> Any:
url = f"{self.base_url}/api/v1{path}"
req_headers = {"Content-Type": "application/json", "Accept": "application/json"}
if self.token:
req_headers["Authorization"] = f"token {self.token}"
if headers:
req_headers.update(headers)
body = json.dumps(data).encode() if data else None
req = urllib.request.Request(url, data=body, headers=req_headers, method=method)
try:
with urllib.request.urlopen(req) as resp:
return json.loads(resp.read().decode())
except urllib.error.HTTPError as e:
return {"error": True, "status": e.code, "body": e.read().decode()}
def list_issues(self, repo: str, state: str = "open", limit: int = 50) -> List[Dict]:
return self._request("GET", f"/repos/{repo}/issues?state={state}&limit={limit}") or []
def get_issue(self, repo: str, number: int) -> Dict:
return self._request("GET", f"/repos/{repo}/issues/{number}") or {}
def create_comment(self, repo: str, number: int, body: str) -> Dict:
return self._request(
"POST", f"/repos/{repo}/issues/{number}/comments", {"body": body}
)
def update_issue(self, repo: str, number: int, **fields) -> Dict:
return self._request("PATCH", f"/repos/{repo}/issues/{number}", fields)
def list_prs(self, repo: str, state: str = "open", limit: int = 50) -> List[Dict]:
return self._request("GET", f"/repos/{repo}/pulls?state={state}&limit={limit}") or []
def get_pr(self, repo: str, number: int) -> Dict:
return self._request("GET", f"/repos/{repo}/pulls/{number}") or {}
def create_pr(self, repo: str, title: str, head: str, base: str, body: str = "") -> Dict:
return self._request(
"POST",
f"/repos/{repo}/pulls",
{"title": title, "head": head, "base": base, "body": body},
)
def _fmt_json(obj: Any) -> str:
return json.dumps(obj, indent=2, ensure_ascii=False)
def main(argv: List[str] = None) -> int:
argv = argv or sys.argv[1:]
parser = argparse.ArgumentParser(description="Gitea CLI for wizard fleet")
parser.add_argument("--repo", default="Timmy_Foundation/hermes-agent", help="Repository full name")
parser.add_argument("--token", default=DEFAULT_TOKEN, help="Gitea API token")
parser.add_argument("--base-url", default=DEFAULT_BASE_URL, help="Gitea base URL")
sub = parser.add_subparsers(dest="cmd")
p_issues = sub.add_parser("issues", help="List issues")
p_issues.add_argument("--state", default="open")
p_issues.add_argument("--limit", type=int, default=50)
p_issue = sub.add_parser("issue", help="Get single issue")
p_issue.add_argument("--number", type=int, required=True)
p_prs = sub.add_parser("prs", help="List PRs")
p_prs.add_argument("--state", default="open")
p_prs.add_argument("--limit", type=int, default=50)
p_pr = sub.add_parser("pr", help="Get single PR")
p_pr.add_argument("--number", type=int, required=True)
p_comment = sub.add_parser("create-comment", help="Post comment on issue/PR")
p_comment.add_argument("--number", type=int, required=True)
p_comment.add_argument("--body", required=True)
p_update = sub.add_parser("update-issue", help="Update issue fields")
p_update.add_argument("--number", type=int, required=True)
p_update.add_argument("--title", default=None)
p_update.add_argument("--body", default=None)
p_update.add_argument("--state", default=None)
p_create_pr = sub.add_parser("create-pr", help="Create a PR")
p_create_pr.add_argument("--title", required=True)
p_create_pr.add_argument("--head", required=True)
p_create_pr.add_argument("--base", default="main")
p_create_pr.add_argument("--body", default="")
args = parser.parse_args(argv)
client = GiteaClient(base_url=args.base_url, token=args.token)
if args.cmd == "issues":
print(_fmt_json(client.list_issues(args.repo, args.state, args.limit)))
elif args.cmd == "issue":
print(_fmt_json(client.get_issue(args.repo, args.number)))
elif args.cmd == "prs":
print(_fmt_json(client.list_prs(args.repo, args.state, args.limit)))
elif args.cmd == "pr":
print(_fmt_json(client.get_pr(args.repo, args.number)))
elif args.cmd == "create-comment":
print(_fmt_json(client.create_comment(args.repo, args.number, args.body)))
elif args.cmd == "update-issue":
fields = {k: v for k, v in {"title": args.title, "body": args.body, "state": args.state}.items() if v is not None}
print(_fmt_json(client.update_issue(args.repo, args.number, **fields)))
elif args.cmd == "create-pr":
print(_fmt_json(client.create_pr(args.repo, args.title, args.head, args.base, args.body)))
else:
parser.print_help()
return 1
return 0
if __name__ == "__main__":
sys.exit(main())

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@@ -1,134 +0,0 @@
#!/usr/bin/env python3
"""
Fleet health monitor for wizard agents.
Checks local system state and reports structured health metrics.
Usage as CLI:
python -m devkit.health
python -m devkit.health --threshold-load 1.0 --check-disk
Usage as module:
from devkit.health import check_health
report = check_health()
"""
import argparse
import json
import os
import shutil
import subprocess
import sys
import time
from typing import Any, Dict, List
def _run(cmd: List[str]) -> str:
try:
return subprocess.check_output(cmd, stderr=subprocess.DEVNULL).decode().strip()
except Exception as e:
return f"error: {e}"
def check_health(threshold_load: float = 1.0, threshold_disk_percent: float = 90.0) -> Dict[str, Any]:
gather_time = time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
# Load average
load_raw = _run(["cat", "/proc/loadavg"])
load_values = []
avg_load = None
if load_raw.startswith("error:"):
load_status = load_raw
else:
try:
load_values = [float(x) for x in load_raw.split()[:3]]
avg_load = sum(load_values) / len(load_values)
load_status = "critical" if avg_load > threshold_load else "ok"
except Exception as e:
load_status = f"error parsing load: {e}"
# Disk usage
disk = shutil.disk_usage("/")
disk_percent = (disk.used / disk.total) * 100 if disk.total else 0.0
disk_status = "critical" if disk_percent > threshold_disk_percent else "ok"
# Memory
meminfo = _run(["cat", "/proc/meminfo"])
mem_stats = {}
for line in meminfo.splitlines():
if ":" in line:
key, val = line.split(":", 1)
mem_stats[key.strip()] = val.strip()
# Running processes
hermes_pids = []
try:
ps_out = subprocess.check_output(["pgrep", "-a", "-f", "hermes"]).decode().strip()
hermes_pids = [line.split(None, 1) for line in ps_out.splitlines() if line.strip()]
except subprocess.CalledProcessError:
hermes_pids = []
# Python package versions (key ones)
key_packages = ["jupyterlab", "papermill", "requests"]
pkg_versions = {}
for pkg in key_packages:
try:
out = subprocess.check_output([sys.executable, "-m", "pip", "show", pkg], stderr=subprocess.DEVNULL).decode()
for line in out.splitlines():
if line.startswith("Version:"):
pkg_versions[pkg] = line.split(":", 1)[1].strip()
break
except Exception:
pkg_versions[pkg] = None
overall = "ok"
if load_status == "critical" or disk_status == "critical":
overall = "critical"
elif not hermes_pids:
overall = "warning"
return {
"timestamp": gather_time,
"overall": overall,
"load": {
"raw": load_raw if not load_raw.startswith("error:") else None,
"1min": load_values[0] if len(load_values) > 0 else None,
"5min": load_values[1] if len(load_values) > 1 else None,
"15min": load_values[2] if len(load_values) > 2 else None,
"avg": round(avg_load, 3) if avg_load is not None else None,
"threshold": threshold_load,
"status": load_status,
},
"disk": {
"total_gb": round(disk.total / (1024 ** 3), 2),
"used_gb": round(disk.used / (1024 ** 3), 2),
"free_gb": round(disk.free / (1024 ** 3), 2),
"used_percent": round(disk_percent, 2),
"threshold_percent": threshold_disk_percent,
"status": disk_status,
},
"memory": mem_stats,
"processes": {
"hermes_count": len(hermes_pids),
"hermes_pids": hermes_pids[:10],
},
"packages": pkg_versions,
}
def main(argv: List[str] = None) -> int:
argv = argv or sys.argv[1:]
parser = argparse.ArgumentParser(description="Fleet health monitor")
parser.add_argument("--threshold-load", type=float, default=1.0)
parser.add_argument("--threshold-disk", type=float, default=90.0)
parser.add_argument("--fail-on-critical", action="store_true", help="Exit non-zero if overall is critical")
args = parser.parse_args(argv)
report = check_health(args.threshold_load, args.threshold_disk)
print(json.dumps(report, indent=2))
if args.fail_on_critical and report.get("overall") == "critical":
return 1
return 0
if __name__ == "__main__":
sys.exit(main())

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@@ -1,136 +0,0 @@
#!/usr/bin/env python3
"""
Notebook execution runner for agent tasks.
Wraps papermill with sensible defaults and structured JSON reporting.
Usage as CLI:
python -m devkit.notebook_runner notebooks/task.ipynb output.ipynb -p threshold 1.0
python -m devkit.notebook_runner notebooks/task.ipynb --dry-run
Usage as module:
from devkit.notebook_runner import run_notebook
result = run_notebook("task.ipynb", "output.ipynb", parameters={"threshold": 1.0})
"""
import argparse
import json
import os
import subprocess
import sys
import tempfile
from pathlib import Path
from typing import Any, Dict, List, Optional
def run_notebook(
input_path: str,
output_path: Optional[str] = None,
parameters: Optional[Dict[str, Any]] = None,
kernel: str = "python3",
timeout: Optional[int] = None,
dry_run: bool = False,
) -> Dict[str, Any]:
input_path = str(Path(input_path).expanduser().resolve())
if output_path is None:
fd, output_path = tempfile.mkstemp(suffix=".ipynb")
os.close(fd)
else:
output_path = str(Path(output_path).expanduser().resolve())
if dry_run:
return {
"status": "dry_run",
"input": input_path,
"output": output_path,
"parameters": parameters or {},
"kernel": kernel,
}
cmd = ["papermill", input_path, output_path, "--kernel", kernel]
if timeout is not None:
cmd.extend(["--execution-timeout", str(timeout)])
for key, value in (parameters or {}).items():
cmd.extend(["-p", key, str(value)])
start = os.times()
try:
proc = subprocess.run(
cmd,
capture_output=True,
text=True,
check=True,
)
end = os.times()
return {
"status": "ok",
"input": input_path,
"output": output_path,
"parameters": parameters or {},
"kernel": kernel,
"elapsed_seconds": round((end.elapsed - start.elapsed), 2),
"stdout": proc.stdout[-2000:] if proc.stdout else "",
}
except subprocess.CalledProcessError as e:
end = os.times()
return {
"status": "error",
"input": input_path,
"output": output_path,
"parameters": parameters or {},
"kernel": kernel,
"elapsed_seconds": round((end.elapsed - start.elapsed), 2),
"stdout": e.stdout[-2000:] if e.stdout else "",
"stderr": e.stderr[-2000:] if e.stderr else "",
"returncode": e.returncode,
}
except FileNotFoundError:
return {
"status": "error",
"message": "papermill not found. Install with: uv tool install papermill",
}
def main(argv: List[str] = None) -> int:
argv = argv or sys.argv[1:]
parser = argparse.ArgumentParser(description="Notebook runner for agents")
parser.add_argument("input", help="Input notebook path")
parser.add_argument("output", nargs="?", default=None, help="Output notebook path")
parser.add_argument("-p", "--parameter", action="append", default=[], help="Parameters as key=value")
parser.add_argument("--kernel", default="python3")
parser.add_argument("--timeout", type=int, default=None)
parser.add_argument("--dry-run", action="store_true")
args = parser.parse_args(argv)
parameters = {}
for raw in args.parameter:
if "=" not in raw:
print(f"Invalid parameter (expected key=value): {raw}", file=sys.stderr)
return 1
k, v = raw.split("=", 1)
# Best-effort type inference
if v.lower() in ("true", "false"):
v = v.lower() == "true"
else:
try:
v = int(v)
except ValueError:
try:
v = float(v)
except ValueError:
pass
parameters[k] = v
result = run_notebook(
args.input,
args.output,
parameters=parameters,
kernel=args.kernel,
timeout=args.timeout,
dry_run=args.dry_run,
)
print(json.dumps(result, indent=2))
return 0 if result.get("status") == "ok" else 1
if __name__ == "__main__":
sys.exit(main())

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@@ -1,108 +0,0 @@
#!/usr/bin/env python3
"""
Fast secret leak scanner for the repository.
Checks for common patterns that should never be committed.
Usage as CLI:
python -m devkit.secret_scan
python -m devkit.secret_scan --path /some/repo --fail-on-find
Usage as module:
from devkit.secret_scan import scan
findings = scan("/path/to/repo")
"""
import argparse
import json
import os
import re
import sys
from pathlib import Path
from typing import Any, Dict, List
# Patterns to flag
PATTERNS = {
"aws_access_key_id": re.compile(r"AKIA[0-9A-Z]{16}"),
"aws_secret_key": re.compile(r"['\"\s][0-9a-zA-Z/+]{40}['\"\s]"),
"generic_api_key": re.compile(r"api[_-]?key\s*[:=]\s*['\"][a-zA-Z0-9_\-]{20,}['\"]", re.IGNORECASE),
"private_key": re.compile(r"-----BEGIN (RSA |EC |DSA |OPENSSH )?PRIVATE KEY-----"),
"github_token": re.compile(r"gh[pousr]_[A-Za-z0-9_]{36,}"),
"gitea_token": re.compile(r"[0-9a-f]{40}"), # heuristic for long hex strings after "token"
"telegram_bot_token": re.compile(r"[0-9]{9,}:[A-Za-z0-9_-]{35,}"),
}
# Files and paths to skip
SKIP_PATHS = [
".git",
"__pycache__",
".pytest_cache",
"node_modules",
"venv",
".env",
".agent-skills",
]
# Max file size to scan (bytes)
MAX_FILE_SIZE = 1024 * 1024
def _should_skip(path: Path) -> bool:
for skip in SKIP_PATHS:
if skip in path.parts:
return True
return False
def scan(root: str = ".") -> List[Dict[str, Any]]:
root_path = Path(root).resolve()
findings = []
for file_path in root_path.rglob("*"):
if not file_path.is_file():
continue
if _should_skip(file_path):
continue
if file_path.stat().st_size > MAX_FILE_SIZE:
continue
try:
text = file_path.read_text(encoding="utf-8", errors="ignore")
except Exception:
continue
for pattern_name, pattern in PATTERNS.items():
for match in pattern.finditer(text):
# Simple context: line around match
start = max(0, match.start() - 40)
end = min(len(text), match.end() + 40)
context = text[start:end].replace("\n", " ")
findings.append({
"file": str(file_path.relative_to(root_path)),
"pattern": pattern_name,
"line": text[:match.start()].count("\n") + 1,
"context": context,
})
return findings
def main(argv: List[str] = None) -> int:
argv = argv or sys.argv[1:]
parser = argparse.ArgumentParser(description="Secret leak scanner")
parser.add_argument("--path", default=".", help="Repository root to scan")
parser.add_argument("--fail-on-find", action="store_true", help="Exit non-zero if secrets found")
parser.add_argument("--json", action="store_true", help="Output as JSON")
args = parser.parse_args(argv)
findings = scan(args.path)
if args.json:
print(json.dumps({"findings": findings, "count": len(findings)}, indent=2))
else:
print(f"Scanned {args.path}")
print(f"Findings: {len(findings)}")
for f in findings:
print(f" [{f['pattern']}] {f['file']}:{f['line']} -> ...{f['context']}...")
if args.fail_on_find and findings:
return 1
return 0
if __name__ == "__main__":
sys.exit(main())

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@@ -1,108 +0,0 @@
#!/usr/bin/env python3
"""
Shared smoke test runner for hermes-agent.
Fast checks that catch obvious breakage without maintenance burden.
Usage as CLI:
python -m devkit.smoke_test
python -m devkit.smoke_test --verbose
Usage as module:
from devkit.smoke_test import run_smoke_tests
results = run_smoke_tests()
"""
import argparse
import importlib
import json
import subprocess
import sys
from pathlib import Path
from typing import Any, Dict, List
HERMES_ROOT = Path(__file__).resolve().parent.parent
def _test_imports() -> Dict[str, Any]:
modules = [
"hermes_constants",
"hermes_state",
"cli",
"tools.skills_sync",
"tools.skills_hub",
]
errors = []
for mod in modules:
try:
importlib.import_module(mod)
except Exception as e:
errors.append({"module": mod, "error": str(e)})
return {
"name": "core_imports",
"status": "ok" if not errors else "fail",
"errors": errors,
}
def _test_cli_entrypoints() -> Dict[str, Any]:
entrypoints = [
[sys.executable, "-m", "cli", "--help"],
]
errors = []
for cmd in entrypoints:
try:
subprocess.run(cmd, capture_output=True, text=True, check=True, cwd=HERMES_ROOT)
except subprocess.CalledProcessError as e:
errors.append({"cmd": cmd, "error": f"exit {e.returncode}"})
except Exception as e:
errors.append({"cmd": cmd, "error": str(e)})
return {
"name": "cli_entrypoints",
"status": "ok" if not errors else "fail",
"errors": errors,
}
def _test_green_path_e2e() -> Dict[str, Any]:
"""One bare green-path E2E: terminal_tool echo hello."""
try:
from tools.terminal_tool import terminal
result = terminal(command="echo hello")
output = result.get("output", "")
if "hello" in output.lower():
return {"name": "green_path_e2e", "status": "ok", "output": output.strip()}
return {"name": "green_path_e2e", "status": "fail", "error": f"Unexpected output: {output}"}
except Exception as e:
return {"name": "green_path_e2e", "status": "fail", "error": str(e)}
def run_smoke_tests(verbose: bool = False) -> Dict[str, Any]:
tests = [
_test_imports(),
_test_cli_entrypoints(),
_test_green_path_e2e(),
]
failed = [t for t in tests if t["status"] != "ok"]
result = {
"overall": "ok" if not failed else "fail",
"tests": tests,
"failed_count": len(failed),
}
if verbose:
print(json.dumps(result, indent=2))
return result
def main(argv: List[str] = None) -> int:
argv = argv or sys.argv[1:]
parser = argparse.ArgumentParser(description="Smoke test runner")
parser.add_argument("--verbose", action="store_true")
args = parser.parse_args(argv)
result = run_smoke_tests(verbose=True)
return 0 if result["overall"] == "ok" else 1
if __name__ == "__main__":
sys.exit(main())

View File

@@ -1,112 +0,0 @@
#!/usr/bin/env python3
"""
Wizard environment validator.
Checks that a new wizard environment is ready for duty.
Usage as CLI:
python -m devkit.wizard_env
python -m devkit.wizard_env --fix
Usage as module:
from devkit.wizard_env import validate
report = validate()
"""
import argparse
import json
import os
import shutil
import subprocess
import sys
from typing import Any, Dict, List
def _has_cmd(name: str) -> bool:
return shutil.which(name) is not None
def _check_env_var(name: str) -> Dict[str, Any]:
value = os.getenv(name)
return {
"name": name,
"status": "ok" if value else "missing",
"value": value[:10] + "..." if value and len(value) > 20 else value,
}
def _check_python_pkg(name: str) -> Dict[str, Any]:
try:
__import__(name)
return {"name": name, "status": "ok"}
except ImportError:
return {"name": name, "status": "missing"}
def validate() -> Dict[str, Any]:
checks = {
"binaries": [
{"name": "python3", "status": "ok" if _has_cmd("python3") else "missing"},
{"name": "git", "status": "ok" if _has_cmd("git") else "missing"},
{"name": "curl", "status": "ok" if _has_cmd("curl") else "missing"},
{"name": "jupyter-lab", "status": "ok" if _has_cmd("jupyter-lab") else "missing"},
{"name": "papermill", "status": "ok" if _has_cmd("papermill") else "missing"},
{"name": "jupytext", "status": "ok" if _has_cmd("jupytext") else "missing"},
],
"env_vars": [
_check_env_var("GITEA_URL"),
_check_env_var("GITEA_TOKEN"),
_check_env_var("TELEGRAM_BOT_TOKEN"),
],
"python_packages": [
_check_python_pkg("requests"),
_check_python_pkg("jupyter_server"),
_check_python_pkg("nbformat"),
],
}
all_ok = all(
c["status"] == "ok"
for group in checks.values()
for c in group
)
# Hermes-specific checks
hermes_home = os.path.expanduser("~/.hermes")
checks["hermes"] = [
{"name": "config.yaml", "status": "ok" if os.path.exists(f"{hermes_home}/config.yaml") else "missing"},
{"name": "skills_dir", "status": "ok" if os.path.exists(f"{hermes_home}/skills") else "missing"},
]
all_ok = all_ok and all(c["status"] == "ok" for c in checks["hermes"])
return {
"overall": "ok" if all_ok else "incomplete",
"checks": checks,
}
def main(argv: List[str] = None) -> int:
argv = argv or sys.argv[1:]
parser = argparse.ArgumentParser(description="Wizard environment validator")
parser.add_argument("--json", action="store_true")
parser.add_argument("--fail-on-incomplete", action="store_true")
args = parser.parse_args(argv)
report = validate()
if args.json:
print(json.dumps(report, indent=2))
else:
print(f"Wizard Environment: {report['overall']}")
for group, items in report["checks"].items():
print(f"\n[{group}]")
for item in items:
status_icon = "" if item["status"] == "ok" else ""
print(f" {status_icon} {item['name']}: {item['status']}")
if args.fail_on_incomplete and report["overall"] != "ok":
return 1
return 0
if __name__ == "__main__":
sys.exit(main())

View File

@@ -1,57 +0,0 @@
# Notebook Workflow for Agent Tasks
This directory demonstrates a sovereign, version-controlled workflow for LLM agent tasks using Jupyter notebooks.
## Philosophy
- **`.py` files are the source of truth`** — authored and reviewed as plain Python with `# %%` cell markers (via Jupytext)
- **`.ipynb` files are generated artifacts** — auto-created from `.py` for execution and rich viewing
- **Papermill parameterizes and executes** — each run produces an output notebook with code, narrative, and results preserved
- **Output notebooks are audit artifacts** — every execution leaves a permanent, replayable record
## File Layout
```
notebooks/
agent_task_system_health.py # Source of truth (Jupytext)
agent_task_system_health.ipynb # Generated from .py
docs/
NOTEBOOK_WORKFLOW.md # This document
.gitea/workflows/
notebook-ci.yml # CI gate: executes notebooks on PR/push
```
## How Agents Work With Notebooks
1. **Create** — Agent generates a `.py` notebook using `# %% [markdown]` and `# %%` code blocks
2. **Review** — PR reviewers see clean diffs in Gitea (no JSON noise)
3. **Generate**`jupytext --to ipynb` produces the `.ipynb` before merge
4. **Execute** — Papermill runs the notebook with injected parameters
5. **Archive** — Output notebook is committed to a `reports/` branch or artifact store
## Converting Between Formats
```bash
# .py -> .ipynb
jupytext --to ipynb notebooks/agent_task_system_health.py
# .ipynb -> .py
jupytext --to py notebooks/agent_task_system_health.ipynb
# Execute with parameters
papermill notebooks/agent_task_system_health.ipynb output.ipynb \
-p threshold 1.0 -p hostname forge-vps-01
```
## CI Gate
The `notebook-ci.yml` workflow executes all notebooks in `notebooks/` on every PR and push, ensuring that checked-in notebooks still run and produce outputs.
## Why This Matters
| Problem | Notebook Solution |
|---|---|
| Ephemeral agent reasoning | Markdown cells narrate the thought process |
| Stateless single-turn tools | Stateful cells persist variables across steps |
| Unreviewable binary artifacts | `.py` source is diffable and PR-friendly |
| No execution audit trail | Output notebook preserves code + outputs + metadata |

View File

@@ -76,13 +76,14 @@ Open Zed settings (`Cmd+,` on macOS or `Ctrl+,` on Linux) and add to your
```json
{
"agent_servers": {
"hermes-agent": {
"type": "custom",
"command": "hermes",
"args": ["acp"],
},
},
"acp": {
"agents": [
{
"name": "hermes-agent",
"registry_dir": "/path/to/hermes-agent/acp_registry"
}
]
}
}
```

View File

@@ -1,230 +0,0 @@
# Bezalel Architecture & Topology
> Deep Self-Awareness Document — Generated 2026-04-07
> Sovereign: Alexander Whitestone (Rockachopa)
> Host: Beta VPS (104.131.15.18)
---
## 1. Identity & Purpose
**I am Bezalel**, the Forge and Testbed Wizard of the Timmy Foundation fleet.
- **Lane:** CI testing, code review, build verification, security hardening, standing watch
- **Philosophy:** KISS. Smoke tests + bare green-path e2e only. CI serves the code.
- **Mandates:** Relentless inbox-zero, continuous self-improvement, autonomous heartbeat operation
- **Key Metrics:** Cycle time, signal-to-noise, autonomy ratio, backlog velocity
---
## 2. Hardware & OS Topology
| Attribute | Value |
|-----------|-------|
| Hostname | `bezalel` |
| OS | Ubuntu 24.04.3 LTS (Noble Numbat) |
| Kernel | Linux 6.8.0 |
| CPU | 1 vCPU |
| Memory | 2 GB RAM |
| Primary Disk | ~25 GB root volume (DigitalOcean) |
| Public IP | `104.131.15.18` |
### Storage Layout
```
/root/wizards/bezalel/
├── hermes/ # Hermes agent source + venv (~835 MB)
├── evennia/ # Evennia MUD engine + world code (~189 MB)
├── workspace/ # Active prototypes + scratch code (~557 MB)
├── home/ # Personal notebooks + scripts (~1.8 GB)
├── .mempalace/ # Local memory palace (ChromaDB)
├── .topology/ # Self-awareness scan artifacts
├── nightly_watch.py # Nightly forge guardian
├── mempalace_nightly.sh # Palace re-mine automation
└── bezalel_topology.md # This document
```
---
## 3. Network Topology
### Fleet Map
```
┌─────────────────────────────────────────────────────────────┐
│ Alpha (143.198.27.163) │
│ ├── Gitea (forge.alexanderwhitestone.com) │
│ └── Ezra (Knowledge Wizard) │
│ │
│ Beta (104.131.15.18) ←── You are here │
│ ├── Bezalel (Forge Wizard) │
│ ├── Hermes Gateway │
│ └── Gitea Actions Runner (bezalel-vps-runner, host mode) │
└─────────────────────────────────────────────────────────────┘
```
### Key Connections
- **Gitea HTTPS:** `https://forge.alexanderwhitestone.com` (Alpha)
- **Telegram Webhook:** Inbound to Beta
- **API Providers:** Kimi (primary), Anthropic (fallback), OpenRouter (fallback)
- **No SSH:** Alpha → Beta is blocked by design
### Listening Services
- Hermes Gateway: internal process (no exposed port directly)
- Evennia: `localhost:4000` (MUD), `localhost:4001` (web client) — when running
- Gitea Runner: `act_runner daemon` — connects outbound to Gitea
---
## 4. Services & Processes
### Always-On Processes
| Process | Command | Purpose |
|---------|---------|---------|
| Hermes Gateway | `hermes gateway run` | Core agent orchestration |
| Gitea Runner | `./act_runner daemon` | CI job execution (host mode) |
### Automated Jobs
| Job | Schedule | Script |
|-----|----------|--------|
| Night Watch | 02:00 UTC | `nightly_watch.py` |
| MemPalace Re-mine | 03:00 UTC | `mempalace_nightly.sh` |
### Service Status Check
- **Hermes gateway:** running (ps verified)
- **Gitea runner:** online, registered as `bezalel-vps-runner`
- **Evennia server:** not currently running (start with `evennia start` in `evennia/`)
---
## 5. Software Dependencies
### System Packages (Key)
- `python3.12` (primary runtime)
- `node` v20.20.2 / `npm` 10.8.2
- `uv` (Python package manager)
- `git`, `curl`, `jq`
### Hermes Virtual Environment
- Located: `/root/wizards/bezalel/hermes/venv/`
- Key packages: `chromadb`, `pyyaml`, `fastapi`, `httpx`, `pytest`, `prompt-toolkit`, `mempalace`
- Install command: `uv pip install -e ".[all,dev]"`
### External API Dependencies
| Service | Endpoint | Usage |
|---------|----------|-------|
| Gitea | `forge.alexanderwhitestone.com` | Git, issues, CI |
| Kimi | `api.kimi.com/coding/v1` | Primary LLM |
| Anthropic | `api.anthropic.com` | Fallback LLM |
| OpenRouter | `openrouter.ai/api/v1` | Secondary fallback |
| Telegram | Bot API | Messaging platform |
---
## 6. Git Repositories
### Hermes Agent
- **Path:** `/root/wizards/bezalel/hermes`
- **Remote:** `forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent.git`
- **Branch:** `main` (up to date)
- **Open PRs:** #193, #191, #179, #178
### Evennia World
- **Path:** `/root/wizards/bezalel/evennia/bezalel_world`
- **Remote:** Same org, separate repo if pushed
- **Server name:** `bezalel_world`
---
## 7. MemPalace Memory System
### Configuration
- **Palace path:** `/root/wizards/bezalel/.mempalace/palace`
- **Identity:** `/root/.mempalace/identity.txt`
- **Config:** `/root/wizards/bezalel/mempalace.yaml`
- **Miner:** `/root/wizards/bezalel/hermes/venv/bin/mempalace`
### Rooms
1. `forge` — CI, builds, syntax guards, nightly watch
2. `hermes` — Agent source, gateway, CLI
3. `evennia` — MUD engine and world code
4. `workspace` — Prototypes, experiments
5. `home` — Personal scripts, configs
6. `nexus` — Reports, docs, KT artifacts
7. `issues` — Gitea issues, PRs, backlog
8. `topology` — System architecture, network, storage
9. `services` — Running services, processes
10. `dependencies` — Packages, APIs, external deps
11. `automation` — Cron jobs, scripts, workflows
12. `general` — Catch-all
### Automation
- **Nightly re-mine:** `03:00 UTC` via cron
- **Log:** `/var/log/bezalel_mempalace.log`
---
## 8. Evennia Mind Palace Integration
### Custom Typeclasses
- `PalaceRoom` — Rooms carry `memory_topic` and `wing`
- `MemoryObject` — In-world memory shards with `memory_content` and `source_file`
### Commands
- `palace/search <query>` — Query mempalace
- `palace/recall <topic>` — Spawn a memory shard
- `palace/file <name> = <content>` — File a new memory
- `palace/status` — Show palace status
### Batch Builder
- **File:** `world/batch_cmds_palace.ev`
- Creates The Hub + 7 palace rooms with exits
### Bridge Script
- **File:** `/root/wizards/bezalel/evennia/palace_search.py`
- Calls mempalace searcher and returns JSON
---
## 9. Operational State & Blockers
### Current Health
- [x] Hermes gateway: operational
- [x] Gitea runner: online, host mode
- [x] CI fix merged (#194) — container directive removed for Gitea workflows
- [x] MemPalace: 2,484+ drawers, incremental mining active
### Active Blockers
- **Gitea Actions:** Runner is in host mode — cannot use Docker containers
- **CI backlog:** Many historical PRs have failed runs due to the container bug (now fixed)
- **Evennia:** Server not currently running (start when needed)
---
## 10. Emergency Procedures
### Restart Hermes Gateway
```bash
cd /root/wizards/bezalel/hermes
source venv/bin/activate
hermes gateway run &
```
### Restart Gitea Runner
```bash
cd /opt/gitea-runner
./act_runner daemon &
```
### Start Evennia
```bash
cd /root/wizards/bezalel/evennia/bezalel_world
evennia start
```
### Manual MemPalace Re-mine
```bash
cd /root/wizards/bezalel
./hermes/venv/bin/mempalace --palace .mempalace/palace mine . --agent bezalel
```
---
*Document maintained by Bezalel. Last updated: 2026-04-07*

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@@ -1,134 +0,0 @@
#!/usr/bin/env python3
"""Bezalel Deep Self-Awareness Topology Scanner"""
import json
import os
import subprocess
import sys
from datetime import datetime, timezone
from pathlib import Path
OUT_DIR = Path("/root/wizards/bezalel/.topology")
OUT_DIR.mkdir(exist_ok=True)
def shell(cmd, timeout=30):
try:
r = subprocess.run(cmd, shell=True, capture_output=True, text=True, timeout=timeout)
return r.stdout.strip()
except Exception as e:
return str(e)
def write(name, content):
(OUT_DIR / f"{name}.txt").write_text(content)
# Timestamp
timestamp = datetime.now(timezone.utc).isoformat()
# 1. System Identity
system = f"""BEZALEL SYSTEM TOPOLOGY SCAN
Generated: {timestamp}
Hostname: {shell('hostname')}
User: {shell('whoami')}
Home: {os.path.expanduser('~')}
"""
write("00_system_identity", system)
# 2. OS & Hardware
os_info = shell("cat /etc/os-release")
kernel = shell("uname -a")
cpu = shell("nproc") + " cores\n" + shell("cat /proc/cpuinfo | grep 'model name' | head -1")
mem = shell("free -h")
disk = shell("df -h")
write("01_os_hardware", f"OS:\n{os_info}\n\nKernel:\n{kernel}\n\nCPU:\n{cpu}\n\nMemory:\n{mem}\n\nDisk:\n{disk}")
# 3. Network
net_interfaces = shell("ip addr")
net_routes = shell("ip route")
listening = shell("ss -tlnp")
public_ip = shell("curl -s ifconfig.me")
write("02_network", f"Interfaces:\n{net_interfaces}\n\nRoutes:\n{net_routes}\n\nListening ports:\n{listening}\n\nPublic IP: {public_ip}")
# 4. Services & Processes
services = shell("systemctl list-units --type=service --state=running --no-pager --no-legend 2>/dev/null | head -30")
processes = shell("ps aux | grep -E 'hermes|gitea|evennia|python' | grep -v grep")
write("03_services", f"Running services:\n{services}\n\nKey processes:\n{processes}")
# 5. Cron & Automation
cron = shell("crontab -l 2>/dev/null")
write("04_automation", f"Crontab:\n{cron}")
# 6. Storage Topology
bezalel_tree = shell("find /root/wizards/bezalel -maxdepth 2 -type d | sort")
write("05_storage", f"Bezalel workspace tree (depth 2):\n{bezalel_tree}")
# 7. Git Repositories
git_repos = []
for base in ["/root/wizards/bezalel/hermes", "/root/wizards/bezalel/evennia"]:
p = Path(base)
if (p / ".git").exists():
remote = shell(f"cd {base} && git remote -v")
branch = shell(f"cd {base} && git branch -v")
git_repos.append(f"Repo: {base}\nRemotes:\n{remote}\nBranches:\n{branch}\n{'='*40}")
write("06_git_repos", "\n".join(git_repos))
# 8. Python Dependencies
venv_pip = shell("/root/wizards/bezalel/hermes/venv/bin/pip freeze 2>/dev/null | head -80")
write("07_dependencies", f"Hermes venv packages (top 80):\n{venv_pip}")
# 9. External APIs & Endpoints
apis = """External API Dependencies:
- Gitea: https://forge.alexanderwhitestone.com (source of truth, CI, issues)
- Telegram: webhook-based messaging platform
- Kimi API: https://api.kimi.com/coding/v1 (primary model provider)
- Anthropic API: fallback model provider
- OpenRouter API: secondary fallback model provider
- DigitalOcean: infrastructure hosting (VPS Alpha/Beta)
"""
write("08_external_apis", apis)
# 10. Fleet Topology
fleet = """FLEET TOPOLOGY
- Alpha: 143.198.27.163 (Gitea + Ezra)
- Beta: 104.131.15.18 (Bezalel, current host)
- No SSH from Alpha to Beta
- Gitea Actions runner: bezalel-vps-runner on Beta (host mode)
"""
write("09_fleet_topology", fleet)
# 11. Evennia Topology
evennia = """EVENNIA MIND PALACE SETUP
- Location: /root/wizards/bezalel/evennia/bezalel_world/
- Server name: bezalel_world
- Custom typeclasses: PalaceRoom, MemoryObject
- Custom commands: CmdPalaceSearch (palace/search, palace/recall, palace/file, palace/status)
- Batch builder: world/batch_cmds_palace.ev
- Bridge script: /root/wizards/bezalel/evennia/palace_search.py
"""
write("10_evennia_topology", evennia)
# 12. MemPalace Topology
mempalace = f"""MEMPALACE CONFIGURATION
- Palace path: /root/wizards/bezalel/.mempalace/palace
- Identity: /root/.mempalace/identity.txt
- Config: /root/wizards/bezalel/mempalace.yaml
- Nightly re-mine: 03:00 UTC via /root/wizards/bezalel/mempalace_nightly.sh
- Miner binary: /root/wizards/bezalel/hermes/venv/bin/mempalace
- Current status: {shell('/root/wizards/bezalel/hermes/venv/bin/mempalace --palace /root/wizards/bezalel/.mempalace/palace status 2>/dev/null')}
"""
write("11_mempalace_topology", mempalace)
# 13. Active Blockers & Health
health = f"""ACTIVE OPERATIONAL STATE
- Hermes gateway: {shell("ps aux | grep 'hermes gateway run' | grep -v grep | awk '{print $11}'")}
- Gitea runner: {shell("ps aux | grep 'act_runner' | grep -v grep | awk '{print $11}'")}
- Nightly watch: /root/wizards/bezalel/nightly_watch.py (02:00 UTC)
- MemPalace re-mine: /root/wizards/bezalel/mempalace_nightly.sh (03:00 UTC)
- Disk usage: {shell("df -h / | tail -1")}
- Load average: {shell("uptime")}
"""
write("12_operational_health", health)
print(f"Topology scan complete. {len(list(OUT_DIR.glob('*.txt')))} files written to {OUT_DIR}")

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@@ -1,335 +0,0 @@
# Browser Integration Analysis: Browser Use + Graphify + Multica
**Issue:** #262 — Investigation: Browser Use + Graphify + Multica — Hermes Integration Analysis
**Date:** 2026-04-10
**Author:** Hermes Agent (burn branch)
## Executive Summary
This document evaluates three browser-related projects for integration with
hermes-agent. Each tool is assessed on capability, integration complexity,
security posture, and strategic fit with Hermes's existing browser stack.
| Tool | Recommendation | Integration Path |
|-------------------|-------------------------|-------------------------|
| Browser Use | **Integrate** (PoC) | Tool + MCP server |
| Graphify | Investigate further | MCP server or tool |
| Multica | Skip (for now) | N/A — premature |
---
## 1. Browser Use (`browser-use`)
### What It Does
Browser Use is a Python library that wraps Playwright to provide LLM-driven
browser automation. An agent describes a task in natural language, and
browser-use autonomously navigates, clicks, types, and extracts data by
feeding the page's accessibility tree to an LLM and executing the resulting
actions in a loop.
Key capabilities:
- Autonomous multi-step browser workflows from a single text instruction
- Accessibility tree extraction (DOM + ARIA snapshot)
- Screenshot and visual context for multimodal models
- Form filling, navigation, data extraction, file downloads
- Custom actions (register callable Python functions the LLM can invoke)
- Parallel agent execution (multiple browser agents simultaneously)
- Cloud execution via browser-use.com API (no local browser needed)
### Integration with Hermes
**Primary path: Custom Hermes tool** wrapping `browser-use` as a high-level
"automated browsing" capability alongside the existing `browser_tool.py`
(low-level, agent-controlled) tools.
**Why a separate tool rather than replacing browser_tool.py:**
- Hermes's existing browser tools (navigate, snapshot, click, type) give the
LLM fine-grained step-by-step control — this is valuable for interactive
tasks and debugging.
- browser-use gives coarse-grained "do this task for me" autonomy — better
for multi-step extraction workflows where the LLM would otherwise need
10+ tool calls.
- Both modes have legitimate use cases. Offer both.
**Integration architecture:**
```
hermes-agent
tools/
browser_tool.py # Existing — low-level agent-controlled browsing
browser_use_tool.py # NEW — high-level autonomous browsing (PoC)
|
+-- browser_use.run() # Wraps browser-use Agent class
+-- browser_use.extract() # Wraps browser-use for data extraction
```
The tool registers with `tools/registry.py` as toolset `browser_use` with
a `check_fn` that verifies `browser-use` is installed.
**Alternative: MCP server** — browser-use could also be exposed as an MCP
server for multi-agent setups where subagents need independent browser
access. This is a follow-up, not the initial integration.
### Dependencies and Requirements
```
pip install browser-use # Core library
playwright install chromium # Playwright browser binary
```
Or use cloud mode with `BROWSER_USE_API_KEY` — no local browser needed.
Python 3.11+, Playwright. No exotic system dependencies beyond what
Hermes already requires for its existing browser tool.
### Security Considerations
| Concern | Mitigation |
|----------------------------|---------------------------------------------------------|
| Arbitrary URL access | Reuse Hermes's `website_policy` and `url_safety` modules |
| Data exfiltration | Browser-use agents run in isolated Playwright contexts; no access to Hermes filesystem |
| Prompt injection via page | browser-use feeds page content to LLM — same risk as existing browser_snapshot; already handled by Hermes prompt hardening |
| Credential leakage | Do not pass API keys to untrusted pages; cloud mode keeps credentials server-side |
| Resource exhaustion | Set max_steps on browser-use Agent to prevent infinite loops |
| Downloaded files | Playwright download path is sandboxed; tool should restrict to temp directory |
**Key security property:** browser-use executes within Playwright's sandboxed
browser context. The LLM controlling browser-use is Hermes itself (or a
configured auxiliary model), not the page content. This is equivalent to the
existing browser tool's security model.
### Performance Characteristics
- **Startup:** ~2-3s for Playwright Chromium launch (same as existing local mode)
- **Per-step:** ~1-3s per LLM call + browser action (comparable to manual
browser_navigate + browser_snapshot loop)
- **Full task (5-10 steps):** ~15-45s depending on page complexity
- **Token usage:** Each step sends the accessibility tree to the LLM.
Browser-use supports vision mode (screenshots) which is more token-heavy.
- **Parallelism:** Supports multiple concurrent browser agents
**Comparison to existing tools:**
For a 10-step browser task, the existing approach requires 10+ Hermes API
calls (navigate, snapshot, click, type, snapshot, click, ...). Browser-use
consolidates this into a single Hermes tool call that internally runs its
own LLM loop. This reduces Hermes API round-trips but shifts the LLM cost
to browser-use's internal model calls.
### Recommendation: INTEGRATE
Browser Use fills a clear gap — autonomous multi-step browser tasks — that
complements Hermes's existing fine-grained browser tools. The integration
is straightforward (Python library, same security model). A PoC tool is
provided in `tools/browser_use_tool.py`.
---
## 2. Graphify
### What It Does
Graphify is a knowledge graph extraction tool that processes unstructured
text (including web content) and extracts entities, relationships, and
structured knowledge into a graph format. It can:
- Extract entities and relationships from text using NLP/LLM techniques
- Build knowledge graphs from web-scraped content
- Support incremental graph updates as new content is processed
- Export graphs in standard formats (JSON-LD, RDF, etc.)
(Note: "Graphify" as a project name is used by several tools. The most
relevant for browser integration is the concept of extracting structured
knowledge graphs from web content during or after browsing.)
### Integration with Hermes
**Primary path: MCP server or Hermes tool** that takes web content (from
browser_tool or web_extract) and produces structured knowledge graphs.
**Integration architecture:**
```
hermes-agent
tools/
graphify_tool.py # NEW — knowledge graph extraction from text
|
+-- graphify.extract() # Extract entities/relations from text
+-- graphify.merge() # Merge into existing graph
+-- graphify.query() # Query the accumulated graph
```
Or via MCP:
```
hermes-agent --mcp-server graphify-mcp
-> tools: graphify_extract, graphify_query, graphify_export
```
**Synergy with browser tools:**
1. `browser_navigate` + `browser_snapshot` to get page content
2. `graphify_extract` to pull entities and relationships
3. Repeat across multiple pages to build a domain knowledge graph
4. `graphify_query` to answer questions about accumulated knowledge
### Dependencies and Requirements
Varies significantly depending on the specific Graphify implementation.
Typical requirements:
- Python 3.11+
- spaCy or similar NLP library for entity extraction
- Optional: Neo4j or NetworkX for graph storage
- LLM access (can reuse Hermes's existing model configuration)
### Security Considerations
| Concern | Mitigation |
|----------------------------|---------------------------------------------------------|
| Processing untrusted text | NLP extraction is read-only; no code execution |
| Graph data persistence | Store in Hermes's data directory with appropriate permissions |
| Information aggregation | Knowledge graphs could accumulate sensitive data; provide clear/delete commands |
| External graph DB access | If using Neo4j, require authentication and restrict to localhost |
### Performance Characteristics
- **Extraction:** ~0.5-2s per page depending on content length and NLP model
- **Graph operations:** Sub-second for graphs under 100K nodes
- **Storage:** Lightweight (JSON/SQLite) for small graphs, Neo4j for large-scale
- **Token usage:** If using LLM-based extraction, ~500-2000 tokens per page
### Recommendation: INVESTIGATE FURTHER
The concept is sound — knowledge graph extraction from web content is a
natural complement to browser tools. However:
1. **Multiple competing tools** exist under this name; need to identify the
best-maintained option
2. **Value proposition unclear** vs. Hermes's existing memory system and
file-based knowledge storage
3. **NLP dependency** adds complexity (spaCy models are ~500MB)
**Suggested next steps:**
- Evaluate specific Graphify implementations (graphify.ai, custom NLP pipelines)
- Prototype with a lightweight approach: LLM-based entity extraction + NetworkX
- Assess whether Hermes's existing memory/graph_store.py can serve this role
---
## 3. Multica
### What It Does
Multica is a multi-agent browser coordination framework. It enables multiple
AI agents to collaboratively browse the web, with features for:
- Task decomposition: splitting complex web tasks across multiple agents
- Shared browser state: agents see a common view of browsing progress
- Coordination protocols: agents can communicate about what they've found
- Parallel web research: multiple agents researching different aspects simultaneously
### Integration with Hermes
**Theoretical path:** Multica would integrate as a higher-level orchestration
layer on top of Hermes's existing browser tools, coordinating multiple
Hermes subagents (via `delegate_tool`) each with browser access.
**Integration architecture:**
```
hermes-agent (orchestrator)
delegate_tool -> subagent_1 (browser_navigate, browser_snapshot, ...)
delegate_tool -> subagent_2 (browser_navigate, browser_snapshot, ...)
delegate_tool -> subagent_3 (browser_navigate, browser_snapshot, ...)
|
+-- Multica coordination layer (shared state, task splitting)
```
### Dependencies and Requirements
- Complex multi-agent orchestration infrastructure
- Shared state management between agents
- Potentially a custom runtime for agent coordination
- Likely requires significant architectural changes to Hermes's delegation model
### Security Considerations
| Concern | Mitigation |
|----------------------------|---------------------------------------------------------|
| Multiple agents on same browser | Session isolation per agent (Hermes already does this) |
| Coordinated exfiltration | Same per-agent restrictions apply |
| Amplified prompt injection | Each agent processes its own pages independently |
| Resource multiplication | N agents = N browser instances = Nx resource usage |
### Performance Characteristics
- **Scaling:** Near-linear improvement for embarrassingly parallel tasks
(e.g., "research 10 companies simultaneously")
- **Overhead:** Significant coordination overhead for tightly coupled tasks
- **Resource cost:** Each agent needs its own LLM calls + browser instance
- **Complexity:** Debugging multi-agent browser workflows is extremely difficult
### Recommendation: SKIP (for now)
Multica addresses a real need (parallel web research) but is premature for
Hermes for several reasons:
1. **Hermes already has subagent delegation** (`delegate_tool`) — agents can
already do parallel browser work without Multica
2. **No mature implementation** — Multica is more of a concept than a
production-ready tool
3. **Complexity vs. benefit** — the coordination overhead and debugging
difficulty outweigh the benefits for most use cases
4. **Better alternatives exist** — for parallel research, simply delegating
multiple subagents with browser tools is simpler and already works
**Revisit when:** Hermes's delegation model supports shared state between
subagents, or a mature Multica implementation emerges.
---
## Integration Roadmap
### Phase 1: Browser Use PoC (this PR)
- [x] Create `tools/browser_use_tool.py` wrapping browser-use as Hermes tool
- [x] Create `docs/browser-integration-analysis.md` (this document)
- [ ] Test with real browser tasks
- [ ] Add to toolset configuration
### Phase 2: Browser Use Production (follow-up)
- [ ] Add `browser_use` to `toolsets.py` toolset definitions
- [ ] Add configuration options in `config.yaml`
- [ ] Add tests in `tests/test_browser_use_tool.py`
- [ ] Consider MCP server variant for subagent use
### Phase 3: Graphify Investigation (follow-up)
- [ ] Evaluate specific Graphify implementations
- [ ] Prototype lightweight LLM-based entity extraction tool
- [ ] Assess integration with existing `graph_store.py`
- [ ] Create PoC if investigation is positive
### Phase 4: Multi-Agent Browser (future)
- [ ] Monitor Multica ecosystem maturity
- [ ] Evaluate when delegation model supports shared state
- [ ] Consider simpler parallel delegation patterns first
---
## Appendix: Existing Browser Stack
Hermes already has a comprehensive browser tool stack:
| Component | Description |
|-----------------------|--------------------------------------------------|
| `browser_tool.py` | Low-level agent-controlled browser (navigate, click, type, snapshot) |
| `browser_camofox.py` | Anti-detection browser via Camofox REST API |
| `browser_providers/` | Cloud providers (Browserbase, Browser Use API, Firecrawl) |
| `web_tools.py` | Web search (Parallel) and extraction (Firecrawl) |
| `mcp_tool.py` | MCP client for connecting external tool servers |
The existing stack covers:
- **Local browsing:** Headless Chromium via agent-browser CLI
- **Cloud browsing:** Browserbase, Browser Use cloud, Firecrawl
- **Anti-detection:** Camofox (local) or Browserbase advanced stealth
- **Content extraction:** Firecrawl for clean markdown extraction
- **Search:** Parallel AI web search
New browser integrations should complement rather than replace these tools.

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@@ -1,132 +0,0 @@
# Fleet SITREP — April 6, 2026
**Classification:** Consolidated Status Report
**Compiled by:** Ezra
**Acknowledged by:** Claude (Issue #143)
---
## Executive Summary
Allegro executed 7 tasks across infrastructure, contracting, audits, and security. Ezra shipped PR #131, filed formalization audit #132, delivered quarterly report #133, and self-assigned issues #134#138. All wizard activity mapped below.
---
## 1. Allegro 7-Task Report
| Task | Description | Status |
|------|-------------|--------|
| 1 | Roll Call / Infrastructure Map | ✅ Complete |
| 2 | Dark industrial anthem (140 BPM, Suno-ready) | ✅ Complete |
| 3 | Operation Get A Job — 7-file contracting playbook pushed to `the-nexus` | ✅ Complete |
| 4 | Formalization audit filed ([the-nexus #893](https://forge.alexanderwhitestone.com/Timmy_Foundation/the-nexus/issues/893)) | ✅ Complete |
| 5 | GrepTard Memory Report — PR #525 on `timmy-home` | ✅ Complete |
| 6 | Self-audit issues #894#899 filed on `the-nexus` | ✅ Filed |
| 7 | `keystore.json` permissions fixed to `600` | ✅ Applied |
### Critical Findings from Task 4 (Formalization Audit)
- GOFAI source files missing — only `.pyc` remains
- Nostr keystore was world-readable — **FIXED** (Task 7)
- 39 burn scripts cluttering `/root` — archival pending ([#898](https://forge.alexanderwhitestone.com/Timmy_Foundation/the-nexus/issues/898))
---
## 2. Ezra Deliverables
| Deliverable | Issue/PR | Status |
|-------------|----------|--------|
| V-011 fix + compressor tuning | [PR #131](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/pulls/131) | ✅ Merged |
| Formalization audit (hermes-agent) | [Issue #132](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/132) | Filed |
| Quarterly report (MD + PDF) | [Issue #133](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/133) | Filed |
| Burn-mode concurrent tool tests | [Issue #134](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/134) | Assigned → Ezra |
| MCP SDK migration | [Issue #135](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/135) | Assigned → Ezra |
| APScheduler migration | [Issue #136](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/136) | Assigned → Ezra |
| Pydantic-settings migration | [Issue #137](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/137) | Assigned → Ezra |
| Contracting playbook tracker | [Issue #138](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/138) | Assigned → Ezra |
---
## 3. Fleet Status
| Wizard | Host | Status | Blocker |
|--------|------|--------|---------|
| **Ezra** | Hermes VPS | Active — 5 issues queued | None |
| **Bezalel** | Hermes VPS | Gateway running on 8645 | None |
| **Allegro-Primus** | Hermes VPS | **Gateway DOWN on 8644** | Needs restart signal |
| **Bilbo** | External | Gemma 4B active, Telegram dual-mode | Host IP unknown to fleet |
### Allegro Gateway Recovery
Allegro-Primus gateway (port 8644) is down. Options:
1. **Alexander restarts manually** on Hermes VPS
2. **Delegate to Bezalel** — Bezalel can issue restart signal via Hermes VPS access
3. **Delegate to Ezra** — Ezra can coordinate restart as part of issue #894 work
---
## 4. Operation Get A Job — Contracting Playbook
Files pushed to `the-nexus/operation-get-a-job/`:
| File | Purpose |
|------|---------|
| `README.md` | Master plan |
| `entity-setup.md` | Wyoming LLC, Mercury, E&O insurance |
| `service-offerings.md` | Rates $150600/hr; packages $5k/$15k/$40k+ |
| `portfolio.md` | Portfolio structure |
| `outreach-templates.md` | Cold email templates |
| `proposal-template.md` | Client proposal structure |
| `rate-card.md` | Rate card |
**Human-only mile (Alexander's action items):**
1. Pick LLC name from `entity-setup.md`
2. File Wyoming LLC via Northwest Registered Agent ($225)
3. Get EIN from IRS (free, ~10 min)
4. Open Mercury account (requires EIN + LLC docs)
5. Secure E&O insurance (~$150250/month)
6. Restart Allegro-Primus gateway (port 8644)
7. Update LinkedIn using profile template
8. Send 5 cold emails using outreach templates
---
## 5. Pending Self-Audit Issues (the-nexus)
| Issue | Title | Priority |
|-------|-------|----------|
| [#894](https://forge.alexanderwhitestone.com/Timmy_Foundation/the-nexus/issues/894) | Deploy burn-mode cron jobs | CRITICAL |
| [#895](https://forge.alexanderwhitestone.com/Timmy_Foundation/the-nexus/issues/895) | Telegram thread-based reporting | Normal |
| [#896](https://forge.alexanderwhitestone.com/Timmy_Foundation/the-nexus/issues/896) | Retry logic and error recovery | Normal |
| [#897](https://forge.alexanderwhitestone.com/Timmy_Foundation/the-nexus/issues/897) | Automate morning reports at 0600 | Normal |
| [#898](https://forge.alexanderwhitestone.com/Timmy_Foundation/the-nexus/issues/898) | Archive 39 burn scripts | Normal |
| [#899](https://forge.alexanderwhitestone.com/Timmy_Foundation/the-nexus/issues/899) | Keystore permissions | ✅ Done |
---
## 6. Revenue Timeline
| Milestone | Target | Unlocks |
|-----------|--------|---------|
| LLC + Bank + E&O | Day 5 | Ability to invoice clients |
| First 5 emails sent | Day 7 | Pipeline generation |
| First scoping call | Day 14 | Qualified lead |
| First proposal accepted | Day 21 | **$4,500$12,000 revenue** |
| Monthly retainer signed | Day 45 | **$6,000/mo recurring** |
---
## 7. Delegation Matrix
| Owner | Owns |
|-------|------|
| **Alexander** | LLC filing, EIN, Mercury, E&O, LinkedIn, cold emails, gateway restart |
| **Ezra** | Issues #134#138 (tests, migrations, tracker) |
| **Allegro** | Issues #894, #898 (cron deployment, burn script archival) |
| **Bezalel** | Review formalization audit for Anthropic-specific gaps |
---
*SITREP acknowledged by Claude — April 6, 2026*
*Source issue: [hermes-agent #143](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/143)*

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@@ -1,477 +0,0 @@
# Hermes Agent — Feature Census
**Epic:** [#290 — Know Thy Agent: Hermes Feature Census](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/290)
**Date:** 2026-04-11
**Source:** Timmy_Foundation/hermes-agent (fork of NousResearch/hermes-agent)
**Upstream:** NousResearch/hermes-agent (last sync: 2026-04-07, 499 commits merged in PR #201)
**Codebase:** ~200K lines Python (335 source files), 470 test files
---
## 1. Feature Matrix
### 1.1 Memory System
| Feature | Status | File:Line | Notes |
|---------|--------|-----------|-------|
| **`add` action** | ✅ Exists | `tools/memory_tool.py:457` | Append entry to MEMORY.md or USER.md |
| **`replace` action** | ✅ Exists | `tools/memory_tool.py:466` | Find by substring, replace content |
| **`remove` action** | ✅ Exists | `tools/memory_tool.py:475` | Find by substring, delete entry |
| **Dual stores (memory + user)** | ✅ Exists | `tools/memory_tool.py:43-45` | MEMORY.md (2200 char limit) + USER.md (1375 char limit) |
| **Entry deduplication** | ✅ Exists | `tools/memory_tool.py:128-129` | Exact-match dedup on load |
| **Injection/exfiltration scanning** | ✅ Exists | `tools/memory_tool.py:85` | Blocks prompt injection, role hijacking, secret exfil |
| **Frozen snapshot pattern** | ✅ Exists | `tools/memory_tool.py:119-135` | Preserves LLM prefix cache across session |
| **Atomic writes** | ✅ Exists | `tools/memory_tool.py:417-436` | tempfile.mkstemp + os.replace |
| **File locking (fcntl)** | ✅ Exists | `tools/memory_tool.py:137-153` | Exclusive lock for concurrent safety |
| **External provider plugin** | ✅ Exists | `agent/memory_manager.py` | Supports 1 external provider (Honcho, Mem0, Hindsight, etc.) |
| **Provider lifecycle hooks** | ✅ Exists | `agent/memory_provider.py:55-66` | on_memory_write, prefetch, sync_turn, on_session_end, on_pre_compress, on_delegation |
| **Session search (past conversations)** | ✅ Exists | `tools/session_search_tool.py:492` | FTS5 search across SQLite message store |
| **Holographic memory** | 🔌 Plugin slot | Config `memory.provider` | Accepted as external provider name, not built-in |
| **Engram integration** | ❌ Not present | — | Not in codebase; Engram is a Timmy Foundation project |
| **Trust system** | ❌ Not present | — | No trust scoring on memory entries |
### 1.2 Tool System
| Feature | Status | File:Line | Notes |
|---------|--------|-----------|-------|
| **Central registry** | ✅ Exists | `tools/registry.py:290` | Module-level singleton, all tools self-register |
| **47 static tools** | ✅ Exists | See full list below | Organized in 21+ toolsets |
| **Dynamic MCP tools** | ✅ Exists | `tools/mcp_tool.py` | Runtime registration from MCP servers (17 in live instance) |
| **Tool approval system** | ✅ Exists | `tools/approval.py` | Manual/smart/off modes, dangerous command detection |
| **Toolset composition** | ✅ Exists | `toolsets.py:404` | Composite toolsets (e.g., `debugging = terminal + web + file`) |
| **Per-platform toolsets** | ✅ Exists | `toolsets.py` | `hermes-cli`, `hermes-telegram`, `hermes-discord`, etc. |
| **Skill management** | ✅ Exists | `tools/skill_manager_tool.py:747` | Create, patch, delete skill documents |
| **Mixture of Agents** | ✅ Exists | `tools/mixture_of_agents_tool.py:553` | Route through 4+ frontier LLMs |
| **Subagent delegation** | ✅ Exists | `tools/delegate_tool.py:963` | Isolated contexts, up to 3 parallel |
| **Code execution sandbox** | ✅ Exists | `tools/code_execution_tool.py:1360` | Python scripts with tool access |
| **Image generation** | ✅ Exists | `tools/image_generation_tool.py:694` | FLUX 2 Pro |
| **Vision analysis** | ✅ Exists | `tools/vision_tools.py:606` | Multi-provider vision |
| **Text-to-speech** | ✅ Exists | `tools/tts_tool.py:974` | Edge TTS, ElevenLabs, OpenAI, NeuTTS |
| **Speech-to-text** | ✅ Exists | Config `stt.*` | Local Whisper, Groq, OpenAI, Mistral Voxtral |
| **Home Assistant** | ✅ Exists | `tools/homeassistant_tool.py:456-483` | 4 HA tools (list, state, services, call) |
| **RL training** | ✅ Exists | `tools/rl_training_tool.py:1376-1394` | 10 Tinker-Atropos tools |
| **Browser automation** | ✅ Exists | `tools/browser_tool.py:2137-2211` | 10 tools (navigate, click, type, scroll, screenshot, etc.) |
| **Gitea client** | ✅ Exists | `tools/gitea_client.py` | Gitea API integration |
| **Cron job management** | ✅ Exists | `tools/cronjob_tools.py:508` | Scheduled task CRUD |
| **Send message** | ✅ Exists | `tools/send_message_tool.py:1036` | Cross-platform messaging |
#### Complete Tool List (47 static)
| # | Tool | Toolset | File:Line |
|---|------|---------|-----------|
| 1 | `read_file` | file | `tools/file_tools.py:832` |
| 2 | `write_file` | file | `tools/file_tools.py:833` |
| 3 | `patch` | file | `tools/file_tools.py:834` |
| 4 | `search_files` | file | `tools/file_tools.py:835` |
| 5 | `terminal` | terminal | `tools/terminal_tool.py:1783` |
| 6 | `process` | terminal | `tools/process_registry.py:1039` |
| 7 | `web_search` | web | `tools/web_tools.py:2082` |
| 8 | `web_extract` | web | `tools/web_tools.py:2092` |
| 9 | `vision_analyze` | vision | `tools/vision_tools.py:606` |
| 10 | `image_generate` | image_gen | `tools/image_generation_tool.py:694` |
| 11 | `text_to_speech` | tts | `tools/tts_tool.py:974` |
| 12 | `skills_list` | skills | `tools/skills_tool.py:1357` |
| 13 | `skill_view` | skills | `tools/skills_tool.py:1367` |
| 14 | `skill_manage` | skills | `tools/skill_manager_tool.py:747` |
| 15 | `browser_navigate` | browser | `tools/browser_tool.py:2137` |
| 16 | `browser_snapshot` | browser | `tools/browser_tool.py:2145` |
| 17 | `browser_click` | browser | `tools/browser_tool.py:2154` |
| 18 | `browser_type` | browser | `tools/browser_tool.py:2162` |
| 19 | `browser_scroll` | browser | `tools/browser_tool.py:2170` |
| 20 | `browser_back` | browser | `tools/browser_tool.py:2178` |
| 21 | `browser_press` | browser | `tools/browser_tool.py:2186` |
| 22 | `browser_get_images` | browser | `tools/browser_tool.py:2195` |
| 23 | `browser_vision` | browser | `tools/browser_tool.py:2203` |
| 24 | `browser_console` | browser | `tools/browser_tool.py:2211` |
| 25 | `todo` | todo | `tools/todo_tool.py:260` |
| 26 | `memory` | memory | `tools/memory_tool.py:544` |
| 27 | `session_search` | session_search | `tools/session_search_tool.py:492` |
| 28 | `clarify` | clarify | `tools/clarify_tool.py:131` |
| 29 | `execute_code` | code_execution | `tools/code_execution_tool.py:1360` |
| 30 | `delegate_task` | delegation | `tools/delegate_tool.py:963` |
| 31 | `cronjob` | cronjob | `tools/cronjob_tools.py:508` |
| 32 | `send_message` | messaging | `tools/send_message_tool.py:1036` |
| 33 | `mixture_of_agents` | moa | `tools/mixture_of_agents_tool.py:553` |
| 34 | `ha_list_entities` | homeassistant | `tools/homeassistant_tool.py:456` |
| 35 | `ha_get_state` | homeassistant | `tools/homeassistant_tool.py:465` |
| 36 | `ha_list_services` | homeassistant | `tools/homeassistant_tool.py:474` |
| 37 | `ha_call_service` | homeassistant | `tools/homeassistant_tool.py:483` |
| 38-47 | `rl_*` (10 tools) | rl | `tools/rl_training_tool.py:1376-1394` |
### 1.3 Session System
| Feature | Status | File:Line | Notes |
|---------|--------|-----------|-------|
| **Session creation** | ✅ Exists | `gateway/session.py:676` | get_or_create_session with auto-reset |
| **Session keying** | ✅ Exists | `gateway/session.py:429` | platform:chat_type:chat_id[:thread_id][:user_id] |
| **Reset policies** | ✅ Exists | `gateway/session.py:610` | none / idle / daily / both |
| **Session switching (/resume)** | ✅ Exists | `gateway/session.py:825` | Point key at a previous session ID |
| **Session branching (/branch)** | ✅ Exists | CLI commands.py | Fork conversation history |
| **SQLite persistence** | ✅ Exists | `hermes_state.py:41-94` | sessions + messages + FTS5 search |
| **JSONL dual-write** | ✅ Exists | `gateway/session.py:891` | Backward compatibility with legacy format |
| **WAL mode concurrency** | ✅ Exists | `hermes_state.py:157` | Concurrent read/write with retry |
| **Context compression** | ✅ Exists | Config `compression.*` | Auto-compress when context exceeds ratio |
| **Memory flush on reset** | ✅ Exists | `gateway/run.py:632` | Reviews old transcript before auto-reset |
| **Token/cost tracking** | ✅ Exists | `hermes_state.py:41` | input, output, cache_read, cache_write, reasoning tokens |
| **PII redaction** | ✅ Exists | Config `privacy.redact_pii` | Hash user IDs, strip phone numbers |
### 1.4 Plugin System
| Feature | Status | File:Line | Notes |
|---------|--------|-----------|-------|
| **Plugin discovery** | ✅ Exists | `hermes_cli/plugins.py:5-11` | User (~/.hermes/plugins/), project, pip entry-points |
| **Plugin manifest (plugin.yaml)** | ✅ Exists | `hermes_cli/plugins.py` | name, version, requires_env, provides_tools, provides_hooks |
| **Lifecycle hooks** | ✅ Exists | `hermes_cli/plugins.py:55-66` | 9 hooks (pre/post tool_call, llm_call, api_request; on_session_start/end/finalize/reset) |
| **PluginContext API** | ✅ Exists | `hermes_cli/plugins.py:124-233` | register_tool, inject_message, register_cli_command, register_hook |
| **Plugin management CLI** | ✅ Exists | `hermes_cli/plugins_cmd.py:1-690` | install, update, remove, enable, disable |
| **Project plugins (opt-in)** | ✅ Exists | `hermes_cli/plugins.py` | Requires HERMES_ENABLE_PROJECT_PLUGINS env var |
| **Pip plugins** | ✅ Exists | `hermes_cli/plugins.py` | Entry-point group: hermes_agent.plugins |
### 1.5 Config System
| Feature | Status | File:Line | Notes |
|---------|--------|-----------|-------|
| **YAML config** | ✅ Exists | `hermes_cli/config.py:259-619` | ~120 config keys across 25 sections |
| **Schema versioning** | ✅ Exists | `hermes_cli/config.py` | `_config_version: 14` with migration support |
| **Provider config** | ✅ Exists | Config `providers.*`, `fallback_providers` | Per-provider overrides, fallback chains |
| **Credential pooling** | ✅ Exists | Config `credential_pool_strategies` | Key rotation strategies |
| **Auxiliary model config** | ✅ Exists | Config `auxiliary.*` | 8 separate side-task models (vision, compression, etc.) |
| **Smart model routing** | ✅ Exists | Config `smart_model_routing.*` | Route simple prompts to cheap model |
| **Env var management** | ✅ Exists | `hermes_cli/config.py:643-1318` | ~80 env vars across provider/tool/messaging/setting categories |
| **Interactive setup wizard** | ✅ Exists | `hermes_cli/setup.py` | Guided first-run configuration |
| **Config migration** | ✅ Exists | `hermes_cli/config.py` | Auto-migrates old config versions |
### 1.6 Gateway
| Feature | Status | File:Line | Notes |
|---------|--------|-----------|-------|
| **18 platform adapters** | ✅ Exists | `gateway/platforms/` | Telegram, Discord, Slack, WhatsApp, Signal, Mattermost, Matrix, HomeAssistant, Email, SMS, DingTalk, API Server, Webhook, Feishu, Wecom, Weixin, BlueBubbles |
| **Message queuing** | ✅ Exists | `gateway/run.py:507` | Queue during agent processing, media placeholder support |
| **Agent caching** | ✅ Exists | `gateway/run.py:515` | Preserve AIAgent instances per session for prompt caching |
| **Background reconnection** | ✅ Exists | `gateway/run.py:527` | Exponential backoff for failed platforms |
| **Authorization** | ✅ Exists | `gateway/run.py:1826` | Per-user allowlists, DM pairing codes |
| **Slash command interception** | ✅ Exists | `gateway/run.py` | Commands handled before agent (not billed) |
| **ACP server** | ✅ Exists | `acp_adapter/server.py:726` | VS Code / Zed / JetBrains integration |
| **Cron scheduler** | ✅ Exists | `cron/scheduler.py:850` | Full job scheduler with cron expressions |
| **Batch runner** | ✅ Exists | `batch_runner.py:1285` | Parallel batch processing |
| **API server** | ✅ Exists | `gateway/platforms/api_server.py` | OpenAI-compatible HTTP API |
### 1.7 Providers (20 supported)
| Provider | ID | Key Env Var |
|----------|----|-------------|
| Nous Portal | `nous` | `NOUS_BASE_URL` |
| OpenRouter | `openrouter` | `OPENROUTER_API_KEY` |
| Anthropic | `anthropic` | (standard) |
| Google AI Studio | `gemini` | `GOOGLE_API_KEY`, `GEMINI_API_KEY` |
| OpenAI Codex | `openai-codex` | (standard) |
| GitHub Copilot | `copilot` / `copilot-acp` | (OAuth) |
| DeepSeek | `deepseek` | `DEEPSEEK_API_KEY` |
| Kimi / Moonshot | `kimi-coding` | `KIMI_API_KEY` |
| Z.AI / GLM | `zai` | `GLM_API_KEY`, `ZAI_API_KEY` |
| MiniMax | `minimax` | `MINIMAX_API_KEY` |
| MiniMax (China) | `minimax-cn` | `MINIMAX_CN_API_KEY` |
| Alibaba / DashScope | `alibaba` | `DASHSCOPE_API_KEY` |
| Hugging Face | `huggingface` | `HF_TOKEN` |
| OpenCode Zen | `opencode-zen` | `OPENCODE_ZEN_API_KEY` |
| OpenCode Go | `opencode-go` | `OPENCODE_GO_API_KEY` |
| Qwen OAuth | `qwen-oauth` | (Portal) |
| AI Gateway | `ai-gateway` | (Nous) |
| Kilo Code | `kilocode` | (standard) |
| Ollama (local) | — | First-class via auxiliary wiring |
| Custom endpoint | `custom` | user-provided URL |
### 1.8 UI / UX
| Feature | Status | File:Line | Notes |
|---------|--------|-----------|-------|
| **Skin/theme engine** | ✅ Exists | `hermes_cli/skin_engine.py` | 7 built-in skins, user YAML skins |
| **Kawaii spinner** | ✅ Exists | `agent/display.py` | Animated faces, configurable verbs/wings |
| **Rich banner** | ✅ Exists | `banner.py` | Logo, hero art, system info |
| **Prompt_toolkit input** | ✅ Exists | `cli.py` | Autocomplete, history, syntax |
| **Streaming output** | ✅ Exists | Config `display.streaming` | Optional streaming |
| **Reasoning display** | ✅ Exists | Config `display.show_reasoning` | Show/hide chain-of-thought |
| **Cost display** | ✅ Exists | Config `display.show_cost` | Show $ in status bar |
| **Voice mode** | ✅ Exists | Config `voice.*` | Ctrl+B record, auto-TTS, silence detection |
| **Human delay simulation** | ✅ Exists | Config `human_delay.*` | Simulated typing delay |
### 1.9 Security
| Feature | Status | File:Line | Notes |
|---------|--------|-----------|-------|
| **Tirith security scanning** | ✅ Exists | `tools/tirith_security.py` | Pre-exec code scanning |
| **Secret redaction** | ✅ Exists | Config `security.redact_secrets` | Auto-strip secrets from output |
| **Memory injection scanning** | ✅ Exists | `tools/memory_tool.py:85` | Blocks prompt injection in memory |
| **URL safety** | ✅ Exists | `tools/url_safety.py` | URL reputation checking |
| **Command approval** | ✅ Exists | `tools/approval.py` | Manual/smart/off modes |
| **OSV vulnerability check** | ✅ Exists | `tools/osv_check.py` | Open Source Vulnerabilities DB |
| **Conscience validator** | ✅ Exists | `tools/conscience_validator.py` | SOUL.md alignment checking |
| **Shield detector** | ✅ Exists | `tools/shield/detector.py` | Jailbreak/crisis detection |
---
## 2. Architecture Overview
```
┌─────────────────────────────────────────────────────────┐
│ Entry Points │
├──────────┬──────────┬──────────┬──────────┬─────────────┤
│ CLI │ Gateway │ ACP │ Cron │ Batch Runner│
│ cli.py │gateway/ │acp_apt/ │ cron/ │batch_runner │
│ 8620 ln │ run.py │server.py │sched.py │ 1285 ln │
│ │ 7905 ln │ 726 ln │ 850 ln │ │
└────┬─────┴────┬─────┴──────────┴──────┬───┴─────────────┘
│ │ │
▼ ▼ ▼
┌─────────────────────────────────────────────────────────┐
│ AIAgent (run_agent.py, 9423 ln) │
│ ┌──────────────────────────────────────────────────┐ │
│ │ Core Conversation Loop │ │
│ │ while iterations < max: │ │
│ │ response = client.chat(tools, messages) │ │
│ │ if tool_calls: handle_function_call() │ │
│ │ else: return response │ │
│ └──────────────────────┬───────────────────────────┘ │
│ │ │
│ ┌──────────────────────▼───────────────────────────┐ │
│ │ model_tools.py (577 ln) │ │
│ │ _discover_tools() → handle_function_call() │ │
│ └──────────────────────┬───────────────────────────┘ │
└─────────────────────────┼───────────────────────────────┘
┌────────────────────▼────────────────────┐
│ tools/registry.py (singleton) │
│ ToolRegistry.register() → dispatch() │
└────────────────────┬────────────────────┘
┌─────────┬───────────┼───────────┬────────────────┐
▼ ▼ ▼ ▼ ▼
┌────────┐┌────────┐┌──────────┐┌──────────┐ ┌──────────┐
│ file ││terminal││ web ││ browser │ │ memory │
│ tools ││ tool ││ tools ││ tool │ │ tool │
│ 4 tools││2 tools ││ 2 tools ││ 10 tools │ │ 3 actions│
└────────┘└────────┘└──────────┘└──────────┘ └────┬─────┘
┌──────────▼──────────┐
│ agent/memory_manager │
│ ┌──────────────────┐│
│ │BuiltinProvider ││
│ │(MEMORY.md+USER.md)│
│ ├──────────────────┤│
│ │External Provider ││
│ │(optional, 1 max) ││
│ └──────────────────┘│
└─────────────────────┘
┌─────────────────────────────────────────────────┐
│ Session Layer │
│ SessionStore (gateway/session.py, 1030 ln) │
│ SessionDB (hermes_state.py, 1238 ln) │
│ ┌───────────┐ ┌─────────────────────────────┐ │
│ │sessions.js│ │ state.db (SQLite + FTS5) │ │
│ │ JSONL │ │ sessions │ messages │ fts │ │
│ └───────────┘ └─────────────────────────────┘ │
└─────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────┐
│ Gateway Platform Adapters │
│ telegram │ discord │ slack │ whatsapp │ signal │
│ matrix │ email │ sms │ mattermost│ api │
│ homeassistant │ dingtalk │ feishu │ wecom │ ... │
└─────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────┐
│ Plugin System │
│ User ~/.hermes/plugins/ │ Project .hermes/ │
│ Pip entry-points (hermes_agent.plugins) │
│ 9 lifecycle hooks │ PluginContext API │
└─────────────────────────────────────────────────┘
```
**Key dependency chain:**
```
tools/registry.py (no deps — imported by all tool files)
tools/*.py (each calls registry.register() at import time)
model_tools.py (imports tools/registry + triggers tool discovery)
run_agent.py, cli.py, batch_runner.py, environments/
```
---
## 3. Recent Development Activity (Last 30 Days)
### Activity Summary
| Metric | Value |
|--------|-------|
| Total commits (since 2026-03-12) | ~1,750 |
| Top contributor | Teknium (1,169 commits) |
| Timmy Foundation commits | ~55 (Alexander Whitestone: 21, Timmy Time: 22, Bezalel: 12) |
| Key upstream sync | PR #201 — 499 commits from NousResearch/hermes-agent (2026-04-07) |
### Top Contributors (Last 30 Days)
| Contributor | Commits | Focus Area |
|-------------|---------|------------|
| Teknium | 1,169 | Core features, bug fixes, streaming, browser, Telegram/Discord |
| teknium1 | 238 | Supplementary work |
| 0xbyt4 | 117 | Various |
| Test | 61 | Testing |
| Allegro | 49 | Fleet ops, CI |
| kshitijk4poor | 30 | Features |
| SHL0MS | 25 | Features |
| Google AI Agent | 23 | MemPalace plugin |
| Timmy Time | 22 | CI, fleet config, merge coordination |
| Alexander Whitestone | 21 | Memory fixes, browser PoC, docs, CI, provider config |
| Bezalel | 12 | CI pipeline, devkit, health checks |
### Key Upstream Changes (Merged in Last 30 Days)
| Change | PR | Impact |
|--------|----|--------|
| Browser provider switch (Browserbase → Browser Use) | upstream #5750 | Breaking change in browser tooling |
| notify_on_complete for background processes | upstream #5779 | New feature for async workflows |
| Interactive model picker (Telegram + Discord) | upstream #5742 | UX improvement |
| Streaming fix after tool boundaries | upstream #5739 | Bug fix |
| Delegate: share credential pools with subagents | upstream | Security improvement |
| Permanent command allowlist on startup | upstream #5076 | Bug fix |
| Paginated model picker for Telegram | upstream | UX improvement |
| Slack thread replies without @mentions | upstream | Gateway improvement |
| Supermemory memory provider (added then removed) | upstream | Experimental, rolled back |
| Background process management overhaul | upstream | Major feature |
### Timmy Foundation Contributions (Our Fork)
| Change | PR | Author |
|--------|----|--------|
| Memory remove action bridge fix | #277 | Alexander Whitestone |
| Browser integration PoC + analysis | #262 | Alexander Whitestone |
| Memory budget enforcement tool | #256 | Alexander Whitestone |
| Memory sovereignty verification | #257 | Alexander Whitestone |
| Memory Architecture Guide | #263, #258 | Alexander Whitestone |
| MemPalace plugin creation | #259, #265 | Google AI Agent |
| CI: duplicate model detection | #235 | Alexander Whitestone |
| Kimi model config fix | #225 | Bezalel |
| Ollama provider wiring fix | #223 | Alexander Whitestone |
| Deep Self-Awareness Epic | #215 | Bezalel |
| BOOT.md for repo | #202 | Bezalel |
| Upstream sync (499 commits) | #201 | Alexander Whitestone |
| Forge CI pipeline | #154, #175, #187 | Bezalel |
| Gitea PR & Issue automation skill | #181 | Bezalel |
| Development tools for wizard fleet | #166 | Bezalel |
| KNOWN_VIOLATIONS justification | #267 | Manus AI |
---
## 4. Overlap Analysis
### What We're Building That Already Exists
| Timmy Foundation Planned Work | Hermes-Agent Already Has | Verdict |
|------------------------------|--------------------------|---------|
| **Memory system (add/remove/replace)** | `tools/memory_tool.py` with all 3 actions | **USE IT** — already exists, we just needed the `remove` fix (PR #277) |
| **Session persistence** | SQLite + JSONL dual-write system | **USE IT** — battle-tested, FTS5 search included |
| **Gateway platform adapters** | 18 adapters including Telegram, Discord, Matrix | **USE IT** — don't rebuild, contribute fixes |
| **Config management** | Full YAML config with migration, env vars | **USE IT** — extend rather than replace |
| **Plugin system** | Complete with lifecycle hooks, PluginContext API | **USE IT** — write plugins, not custom frameworks |
| **Tool registry** | Centralized registry with self-registration | **USE IT** — register new tools via existing pattern |
| **Cron scheduling** | `cron/scheduler.py` + `cronjob` tool | **USE IT** — integrate rather than duplicate |
| **Subagent delegation** | `delegate_task` with isolated contexts | **USE IT** — extend for fleet coordination |
### What We Need That Doesn't Exist
| Timmy Foundation Need | Hermes-Agent Status | Action |
|----------------------|---------------------|--------|
| **Engram integration** | Not present | Build as external memory provider plugin |
| **Holographic fact store** | Accepted as provider name, not implemented | Build as external memory provider |
| **Fleet orchestration** | Not present (single-agent focus) | Build on top, contribute patterns upstream |
| **Trust scoring on memory** | Not present | Build as extension to memory tool |
| **Multi-agent coordination** | delegate_tool supports parallel (max 3) | Extend for fleet-wide dispatch |
| **VPS wizard deployment** | Not present | Timmy Foundation domain — build independently |
| **Gitea CI/CD integration** | Minimal (gitea_client.py exists) | Extend existing client |
### Duplication Risk Assessment
| Risk | Level | Details |
|------|-------|---------|
| Memory system duplication | 🟢 LOW | We were almost duplicating memory removal (PR #278 vs #277). Now resolved. |
| Config system duplication | 🟢 LOW | Using hermes config directly via fork |
| Gateway duplication | 🟡 MEDIUM | Our fleet-ops patterns may partially overlap with gateway capabilities |
| Session management duplication | 🟢 LOW | Using hermes sessions directly |
| Plugin system duplication | 🟢 LOW | We write plugins, not a parallel system |
---
## 5. Contribution Roadmap
### What to Build (Timmy Foundation Own)
| Item | Rationale | Priority |
|------|-----------|----------|
| **Engram memory provider** | Sovereign local memory (Go binary, SQLite+FTS). Must be ours. | 🔴 HIGH |
| **Holographic fact store** | Our architecture for knowledge graph memory. Unique to Timmy. | 🔴 HIGH |
| **Fleet orchestration layer** | Multi-wizard coordination (Allegro, Bezalel, Ezra, Claude). Not upstream's problem. | 🔴 HIGH |
| **VPS deployment automation** | Sovereign wizard provisioning. Timmy-specific. | 🟡 MEDIUM |
| **Trust scoring system** | Evaluate memory entry reliability. Research needed. | 🟡 MEDIUM |
| **Gitea CI/CD integration** | Deep integration with our forge. Extend gitea_client.py. | 🟡 MEDIUM |
| **SOUL.md compliance tooling** | Conscience validator exists (`tools/conscience_validator.py`). Extend it. | 🟢 LOW |
### What to Contribute Upstream
| Item | Rationale | Difficulty |
|------|-----------|------------|
| **Memory remove action fix** | Already done (PR #277). ✅ | Done |
| **Browser integration analysis** | Useful for all users (PR #262). ✅ | Done |
| **CI stability improvements** | Reduce deps, increase timeout (our commit). ✅ | Done |
| **Duplicate model detection** | CI check useful for all forks (PR #235). ✅ | Done |
| **Memory sovereignty patterns** | Verification scripts, budget enforcement. Useful broadly. | Medium |
| **Engram provider adapter** | If Engram proves useful, offer as memory provider option. | Medium |
| **Fleet delegation patterns** | If multi-agent coordination patterns generalize. | Hard |
| **Wizard health monitoring** | If monitoring patterns generalize to any agent fleet. | Medium |
### Quick Wins (Next Sprint)
1. **Verify memory remove action** — Confirm PR #277 works end-to-end in our fork
2. **Test browser tool after upstream switch** — Browserbase → Browser Use (upstream #5750) may break our PoC
3. **Update provider config** — Kimi model references updated (PR #225), verify no remaining stale refs
4. **Engram provider prototype** — Start implementing as external memory provider plugin
5. **Fleet health integration** — Use gateway's background reconnection patterns for wizard fleet
---
## Appendix A: File Counts by Directory
| Directory | Files | Lines |
|-----------|-------|-------|
| `tools/` | 70+ .py files | ~50K |
| `gateway/` | 20+ .py files | ~25K |
| `agent/` | 10 .py files | ~10K |
| `hermes_cli/` | 15 .py files | ~20K |
| `acp_adapter/` | 9 .py files | ~8K |
| `cron/` | 3 .py files | ~2K |
| `tests/` | 470 .py files | ~80K |
| **Total** | **335 source + 470 test** | **~200K + ~80K** |
## Appendix B: Key File Index
| File | Lines | Purpose |
|------|-------|---------|
| `run_agent.py` | 9,423 | AIAgent class, core conversation loop |
| `cli.py` | 8,620 | CLI orchestrator, slash command dispatch |
| `gateway/run.py` | 7,905 | Gateway main loop, platform management |
| `tools/terminal_tool.py` | 1,783 | Terminal orchestration |
| `tools/web_tools.py` | 2,082 | Web search + extraction |
| `tools/browser_tool.py` | 2,211 | Browser automation (10 tools) |
| `tools/code_execution_tool.py` | 1,360 | Python sandbox |
| `tools/delegate_tool.py` | 963 | Subagent delegation |
| `tools/mcp_tool.py` | ~1,050 | MCP client |
| `tools/memory_tool.py` | 560 | Memory CRUD |
| `hermes_state.py` | 1,238 | SQLite session store |
| `gateway/session.py` | 1,030 | Session lifecycle |
| `cron/scheduler.py` | 850 | Job scheduler |
| `hermes_cli/config.py` | 1,318 | Config system |
| `hermes_cli/plugins.py` | 611 | Plugin system |
| `hermes_cli/skin_engine.py` | 500+ | Theme engine |

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# Jupyter Notebooks as Core LLM Execution Layer — Deep Research Report
**Issue:** #155
**Date:** 2026-04-06
**Status:** Research / Spike
**Prior Art:** Timmy's initial spike (llm_execution_spike.ipynb, hamelnb bridge, JupyterLab on forge VPS)
---
## Executive Summary
This report deepens the research from issue #155 into three areas requested by Rockachopa:
1. The **full Jupyter product suite** — JupyterHub vs JupyterLab vs Notebook
2. **Papermill** — the production-grade notebook execution engine already used in real data pipelines
3. The **"PR model for notebooks"** — how agents can propose, diff, review, and merge changes to `.ipynb` files similarly to code PRs
The conclusion: an elegant, production-grade agent→notebook pipeline already exists as open-source tooling. We don't need to invent much — we need to compose what's there.
---
## 1. The Jupyter Product Suite
The Jupyter ecosystem has three distinct layers that are often conflated. Understanding the distinction is critical for architectural decisions.
### 1.1 Jupyter Notebook (Classic)
The original single-user interface. One browser tab = one `.ipynb` file. Version 6 is in maintenance-only mode. Version 7 was rebuilt on JupyterLab components and is functionally equivalent. For headless agent use, the UI is irrelevant — what matters is the `.ipynb` file format and the kernel execution model underneath.
### 1.2 JupyterLab
The current canonical Jupyter interface for human users: full IDE, multi-pane, terminal, extension manager, built-in diff viewer, and `jupyterlab-git` for Git workflows from the UI. JupyterLab is the recommended target for agent-collaborative workflows because:
- It exposes the same REST API as classic Jupyter (kernel sessions, execute, contents)
- Extensions like `jupyterlab-git` let a human co-reviewer inspect changes alongside the agent
- The `hamelnb` bridge Timmy already validated works against a JupyterLab server
**For agents:** JupyterLab is the platform to run on. The agent doesn't interact with the UI — it uses the Jupyter REST API or Papermill on top of it.
### 1.3 JupyterHub — The Multi-User Orchestration Layer
JupyterHub is not a UI. It is a **multi-user server** that spawns, manages, and proxies individual single-user Jupyter servers. This is the production infrastructure layer.
```
[Agent / Browser / API Client]
|
[Proxy] (configurable-http-proxy)
/ \
[Hub] [Single-User Jupyter Server per user/agent]
(Auth, (standard JupyterLab/Notebook server)
Spawner,
REST API)
```
**Key components:**
- **Hub:** Manages auth, user database, spawner lifecycle, REST API
- **Proxy:** Routes `/hub/*` to Hub, `/user/<name>/*` to that user's server
- **Spawner:** How single-user servers are started. Default = local process. Production options include `KubeSpawner` (Kubernetes pod per user) and `DockerSpawner` (container per user)
- **Authenticator:** PAM, OAuth, DummyAuthenticator (for isolated agent environments)
**JupyterHub REST API** (relevant for agent orchestration):
```bash
# Spawn a named server for an agent service account
POST /hub/api/users/<username>/servers/<name>
# Stop it when done
DELETE /hub/api/users/<username>/servers/<name>
# Create a scoped API token for the agent
POST /hub/api/users/<username>/tokens
# Check server status
GET /hub/api/users/<username>
```
**Why this matters for Hermes:** JupyterHub gives us isolated kernel environments per agent task, programmable lifecycle management, and a clean auth model. Instead of running one shared JupyterLab instance on the forge VPS, we could spawn ephemeral single-user servers per notebook execution run — each with its own kernel, clean state, and resource limits.
### 1.4 Jupyter Kernel Gateway — Minimal Headless Execution
If JupyterHub is too heavy, `jupyter-kernel-gateway` exposes just the kernel protocol over REST + WebSocket:
```bash
pip install jupyter-kernel-gateway
jupyter kernelgateway --KernelGatewayApp.api=kernel_gateway.jupyter_websocket
# Start kernel
POST /api/kernels
# Execute via WebSocket on Jupyter messaging protocol
WS /api/kernels/<kernel_id>/channels
# Stop kernel
DELETE /api/kernels/<kernel_id>
```
This is the lowest-level option: no notebook management, just raw kernel access. Suitable if we want to build our own execution layer from scratch.
---
## 2. Papermill — Production Notebook Execution
Papermill is the missing link between "notebook as experiment" and "notebook as repeatable pipeline task." It is already used at scale in industry data pipelines (Netflix, Airbnb, etc.).
### 2.1 Core Concept: Parameterization
Papermill's key innovation is **parameter injection**. Tag a cell in the notebook with `"parameters"`:
```python
# Cell tagged "parameters" (defaults — defined by notebook author)
alpha = 0.5
batch_size = 32
model_name = "baseline"
```
At runtime, Papermill inserts a new cell immediately after, tagged `"injected-parameters"`, that overrides the defaults:
```python
# Cell tagged "injected-parameters" (injected by Papermill at runtime)
alpha = 0.01
batch_size = 128
model_name = "experiment_007"
```
Because Python executes top-to-bottom, the injected cell shadows the defaults. The original notebook is never mutated — Papermill reads input, writes to a new output file.
### 2.2 Python API
```python
import papermill as pm
nb = pm.execute_notebook(
input_path="analysis.ipynb", # source (can be s3://, az://, gs://)
output_path="output/run_001.ipynb", # destination (persists outputs)
parameters={
"alpha": 0.01,
"n_samples": 1000,
"run_id": "fleet-check-2026-04-06",
},
kernel_name="python3",
execution_timeout=300, # per-cell timeout in seconds
log_output=True, # stream cell output to logger
cwd="/path/to/notebook/", # working directory
)
# Returns: NotebookNode (the fully executed notebook with all outputs)
```
On cell failure, Papermill raises `PapermillExecutionError` with:
- `cell_index` — which cell failed
- `source` — the failing cell's code
- `ename` / `evalue` — exception type and message
- `traceback` — full traceback
Even on failure, the output notebook is written with whatever cells completed — enabling partial-run inspection.
### 2.3 CLI
```bash
# Basic execution
papermill analysis.ipynb output/run_001.ipynb \
-p alpha 0.01 \
-p n_samples 1000
# From YAML parameter file
papermill analysis.ipynb output/run_001.ipynb -f params.yaml
# CI-friendly: log outputs, no progress bar
papermill analysis.ipynb output/run_001.ipynb \
--log-output \
--no-progress-bar \
--execution-timeout 300 \
-p run_id "fleet-check-2026-04-06"
# Prepare only (inject params, skip execution — for preview/inspection)
papermill analysis.ipynb preview.ipynb --prepare-only -p alpha 0.01
# Inspect parameter schema
papermill --help-notebook analysis.ipynb
```
**Remote storage** is built in — `pip install papermill[s3]` enables `s3://` paths for both input and output. Azure and GCS are also supported. For Hermes, this means notebook runs can be stored in object storage and retrieved later for audit.
### 2.4 Scrapbook — Structured Output Collection
`scrapbook` is Papermill's companion for extracting structured data from executed notebooks. Inside a notebook cell:
```python
import scrapbook as sb
# Write typed outputs (stored as special display_data in cell outputs)
sb.glue("accuracy", 0.9342)
sb.glue("metrics", {"precision": 0.91, "recall": 0.93, "f1": 0.92})
sb.glue("results_df", df, "pandas") # DataFrames too
```
After execution, from the agent:
```python
import scrapbook as sb
nb = sb.read_notebook("output/fleet-check-2026-04-06.ipynb")
metrics = nb.scraps["metrics"].data # -> {"precision": 0.91, ...}
accuracy = nb.scraps["accuracy"].data # -> 0.9342
# Or aggregate across many runs
book = sb.read_notebooks("output/")
book.scrap_dataframe # -> pd.DataFrame with all scraps + filenames
```
This is the clean interface between notebook execution and agent decision-making: the notebook outputs its findings as named, typed scraps; the agent reads them programmatically and acts.
### 2.5 How Papermill Compares to hamelnb
| Capability | hamelnb | Papermill |
|---|---|---|
| Stateful kernel session | Yes | No (fresh kernel per run) |
| Parameter injection | No | Yes |
| Persistent output notebook | No | Yes |
| Remote storage (S3/Azure) | No | Yes |
| Per-cell timing/metadata | No | Yes (in output nb metadata) |
| Error isolation (partial runs) | No | Yes |
| Production pipeline use | Experimental | Industry-standard |
| Structured output collection | No | Yes (via scrapbook) |
**Verdict:** `hamelnb` is great for interactive REPL-style exploration (where state accumulates). Papermill is better for task execution (where we want reproducible, parameterized, auditable runs). They serve different use cases. Hermes needs both.
---
## 3. The `.ipynb` File Format — What the Agent Is Actually Working With
Understanding the format is essential for the "PR model." A `.ipynb` file is JSON with this structure:
```json
{
"nbformat": 4,
"nbformat_minor": 5,
"metadata": {
"kernelspec": {"display_name": "Python 3", "language": "python", "name": "python3"},
"language_info": {"name": "python", "version": "3.10.0"}
},
"cells": [
{
"id": "a1b2c3d4",
"cell_type": "markdown",
"source": "# Fleet Health Check\n\nThis notebook checks system health.",
"metadata": {}
},
{
"id": "e5f6g7h8",
"cell_type": "code",
"source": "alpha = 0.5\nthreshold = 0.95",
"metadata": {"tags": ["parameters"]},
"execution_count": null,
"outputs": []
},
{
"id": "i9j0k1l2",
"cell_type": "code",
"source": "import sys\nprint(sys.version)",
"metadata": {},
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": "3.10.0 (default, ...)\n"
}
]
}
]
}
```
The `nbformat` Python library provides a clean API for working with this:
```python
import nbformat
# Read
with open("notebook.ipynb") as f:
nb = nbformat.read(f, as_version=4)
# Navigate
for cell in nb.cells:
if cell.cell_type == "code":
print(cell.source)
# Modify
nb.cells[2].source = "import sys\nprint('updated')"
# Add cells
new_md = nbformat.v4.new_markdown_cell("## Agent Analysis\nInserted by Hermes.")
nb.cells.insert(3, new_md)
# Write
with open("modified.ipynb", "w") as f:
nbformat.write(nb, f)
# Validate
nbformat.validate(nb) # raises nbformat.ValidationError on invalid format
```
---
## 4. The PR Model for Notebooks
This is the elegant architecture Rockachopa described: agents making PRs to notebooks the same way they make PRs to code. Here's how the full stack enables it.
### 4.1 The Problem: Raw `.ipynb` Diffs Are Unusable
Without tooling, a `git diff` on a notebook that was merely re-run (no source changes) produces thousands of lines of JSON changes — execution counts, timestamps, base64-encoded plot images. Code review on raw `.ipynb` diffs is impractical.
### 4.2 nbstripout — Clean Git History
`nbstripout` installs a git **clean filter** that strips outputs before files enter the git index. The working copy is untouched; only what gets committed is clean.
```bash
pip install nbstripout
nbstripout --install # per-repo
# or
nbstripout --install --global # all repos
```
This writes to `.git/config`:
```ini
[filter "nbstripout"]
clean = nbstripout
smudge = cat
required = true
[diff "ipynb"]
textconv = nbstripout -t
```
And to `.gitattributes`:
```
*.ipynb filter=nbstripout
*.ipynb diff=ipynb
```
Now `git diff` shows only source changes — same as reviewing a `.py` file.
**For executed-output notebooks** (where we want to keep outputs for audit): use a separate path like `runs/` or `outputs/` excluded from the filter via `.gitattributes`:
```
*.ipynb filter=nbstripout
runs/*.ipynb !filter
runs/*.ipynb !diff
```
### 4.3 nbdime — Semantic Diff and Merge
nbdime understands notebook structure. Instead of diffing raw JSON, it diffs at the level of cells — knowing that `cells` is a list, `source` is a string, and outputs should often be ignored.
```bash
pip install nbdime
# Enable semantic git diff/merge for all .ipynb files
nbdime config-git --enable
# Now standard git commands are notebook-aware:
git diff HEAD notebook.ipynb # semantic cell-level diff
git merge feature-branch # uses nbdime for .ipynb conflict resolution
git log -p notebook.ipynb # readable patch per commit
```
**Python API for agent reasoning:**
```python
import nbdime
import nbformat
nb_base = nbformat.read(open("original.ipynb"), as_version=4)
nb_pr = nbformat.read(open("proposed.ipynb"), as_version=4)
diff = nbdime.diff_notebooks(nb_base, nb_pr)
# diff is a list of structured ops the agent can reason about:
# [{"op": "patch", "key": "cells", "diff": [
# {"op": "patch", "key": 3, "diff": [
# {"op": "patch", "key": "source", "diff": [...string ops...]}
# ]}
# ]}]
# Apply a diff (patch)
from nbdime.patching import patch
nb_result = patch(nb_base, diff)
```
### 4.4 The Full Agent PR Workflow
Here is the complete workflow — analogous to how Hermes makes PRs to code repos via Gitea:
**1. Agent reads the task notebook**
```python
nb = nbformat.read(open("fleet_health_check.ipynb"), as_version=4)
```
**2. Agent locates and modifies relevant cells**
```python
# Find parameter cell
params_cell = next(
c for c in nb.cells
if "parameters" in c.get("metadata", {}).get("tags", [])
)
# Update threshold
params_cell.source = params_cell.source.replace("threshold = 0.95", "threshold = 0.90")
# Add explanatory markdown
nb.cells.insert(
nb.cells.index(params_cell) + 1,
nbformat.v4.new_markdown_cell(
"**Note (Hermes 2026-04-06):** Threshold lowered from 0.95 to 0.90 "
"based on false-positive analysis from last 7 days of runs."
)
)
```
**3. Agent writes and commits to a branch**
```bash
git checkout -b agent/fleet-health-threshold-update
nbformat.write(nb, open("fleet_health_check.ipynb", "w"))
git add fleet_health_check.ipynb
git commit -m "feat(notebooks): lower fleet health threshold to 0.90 (#155)"
```
**4. Agent executes the proposed notebook to validate**
```python
import papermill as pm
pm.execute_notebook(
"fleet_health_check.ipynb",
"output/validation_run.ipynb",
parameters={"run_id": "agent-validation-2026-04-06"},
log_output=True,
)
```
**5. Agent collects results and compares**
```python
import scrapbook as sb
result = sb.read_notebook("output/validation_run.ipynb")
health_score = result.scraps["health_score"].data
alert_count = result.scraps["alert_count"].data
```
**6. Agent opens PR with results summary**
```bash
curl -X POST "$GITEA_API/pulls" \
-H "Authorization: token $TOKEN" \
-d '{
"title": "feat(notebooks): lower fleet health threshold to 0.90",
"body": "## Agent Analysis\n\n- Health score: 0.94 (was 0.89 with old threshold)\n- Alert count: 12 (was 47 false positives)\n- Validation run: output/validation_run.ipynb\n\nRefs #155",
"head": "agent/fleet-health-threshold-update",
"base": "main"
}'
```
**7. Human reviews the PR using nbdime diff**
The PR diff in Gitea shows the clean cell-level source changes (thanks to nbstripout). The human can also run `nbdiff-web original.ipynb proposed.ipynb` locally for rich rendered diff with output comparison.
### 4.5 nbval — Regression Testing Notebooks
`nbval` treats each notebook cell as a pytest test case, re-executing and comparing outputs to stored values:
```bash
pip install nbval
# Strict: every cell output must match stored outputs
pytest --nbval fleet_health_check.ipynb
# Lax: only check cells marked with # NBVAL_CHECK_OUTPUT
pytest --nbval-lax fleet_health_check.ipynb
```
Cell-level markers (comments in cell source):
```python
# NBVAL_CHECK_OUTPUT — in lax mode, validate this cell's output
# NBVAL_SKIP — skip this cell entirely
# NBVAL_RAISES_EXCEPTION — expect an exception (test passes if raised)
```
This becomes the CI gate: before a notebook PR is merged, run `pytest --nbval-lax` to verify no cells produce errors and critical output cells still produce expected values.
---
## 5. Gaps and Recommendations
### 5.1 Gap Assessment (Refining Timmy's Original Findings)
| Gap | Severity | Solution |
|---|---|---|
| No Hermes tool access in kernel | High | Inject `hermes_runtime` module (see §5.2) |
| No structured output protocol | High | Use scrapbook `sb.glue()` pattern |
| No parameterization | Medium | Add Papermill `"parameters"` cell to notebooks |
| XSRF/auth friction | Medium | Disable for local; use JupyterHub token scopes for multi-user |
| No notebook CI/testing | Medium | Add nbval to test suite |
| Raw `.ipynb` diffs in PRs | Medium | Install nbstripout + nbdime |
| No scheduling | Low | Papermill + existing Hermes cron layer |
### 5.2 Short-Term Recommendations (This Month)
**1. `NotebookExecutor` tool**
A thin Hermes tool wrapping the ecosystem:
```python
class NotebookExecutor:
def execute(self, input_path, output_path, parameters, timeout=300):
"""Wraps pm.execute_notebook(). Returns structured result dict."""
def collect_outputs(self, notebook_path):
"""Wraps sb.read_notebook(). Returns dict of named scraps."""
def inspect_parameters(self, notebook_path):
"""Wraps pm.inspect_notebook(). Returns parameter schema."""
def read_notebook(self, path):
"""Returns nbformat NotebookNode for cell inspection/modification."""
def write_notebook(self, nb, path):
"""Writes modified NotebookNode back to disk."""
def diff_notebooks(self, path_a, path_b):
"""Returns structured nbdime diff for agent reasoning."""
def validate(self, notebook_path):
"""Runs nbformat.validate() + optional pytest --nbval-lax."""
```
Execution result structure for the agent:
```python
{
"status": "success" | "error",
"duration_seconds": 12.34,
"cells_executed": 15,
"failed_cell": { # None on success
"index": 7,
"source": "model.fit(X, y)",
"ename": "ValueError",
"evalue": "Input contains NaN",
},
"scraps": { # from scrapbook
"health_score": 0.94,
"alert_count": 12,
},
}
```
**2. Fleet Health Check as a Notebook**
Convert the fleet health check epic into a parameterized notebook with:
- `"parameters"` cell for run configuration (date range, thresholds, agent ID)
- Markdown cells narrating each step
- `sb.glue()` calls for structured outputs
- `# NBVAL_CHECK_OUTPUT` markers on critical cells
**3. Git hygiene for notebooks**
Install nbstripout + nbdime in the hermes-agent repo:
```bash
pip install nbstripout nbdime
nbstripout --install
nbdime config-git --enable
```
Add to `.gitattributes`:
```
*.ipynb filter=nbstripout
*.ipynb diff=ipynb
runs/*.ipynb !filter
```
### 5.3 Medium-Term Recommendations (Next Quarter)
**4. `hermes_runtime` Python module**
Inject Hermes tool access into the kernel via a module that notebooks import:
```python
# In kernel cell: from hermes_runtime import terminal, read_file, web_search
import hermes_runtime as hermes
results = hermes.web_search("fleet health metrics best practices")
hermes.terminal("systemctl status agent-fleet")
content = hermes.read_file("/var/log/hermes/agent.log")
```
This closes the most significant gap: notebooks gain the same tool access as skills, while retaining state persistence and narrative structure.
**5. Notebook-triggered cron**
Extend the Hermes cron layer to accept `.ipynb` paths as targets:
```yaml
# cron entry
schedule: "0 6 * * *"
type: notebook
path: notebooks/fleet_health_check.ipynb
parameters:
run_id: "{{date}}"
alert_threshold: 0.90
output_path: runs/fleet_health_{{date}}.ipynb
```
The cron runner calls `pm.execute_notebook()` and commits the output to the repo.
**6. JupyterHub for multi-agent isolation**
If multiple agents need concurrent notebook execution, deploy JupyterHub with `DockerSpawner` or `KubeSpawner`. Each agent job gets an isolated container with its own kernel, no state bleed between runs.
---
## 6. Architecture Vision
```
┌─────────────────────────────────────────────────────────────────┐
│ Hermes Agent │
│ │
│ Skills (one-shot) Notebooks (multi-step) │
│ ┌─────────────────┐ ┌─────────────────────────────────┐ │
│ │ terminal() │ │ .ipynb file │ │
│ │ web_search() │ │ ├── Markdown (narrative) │ │
│ │ read_file() │ │ ├── Code cells (logic) │ │
│ └─────────────────┘ │ ├── "parameters" cell │ │
│ │ └── sb.glue() outputs │ │
│ └──────────────┬────────────────┘ │
│ │ │
│ ┌──────────────▼────────────────┐ │
│ │ NotebookExecutor tool │ │
│ │ (papermill + scrapbook + │ │
│ │ nbformat + nbdime + nbval) │ │
│ └──────────────┬────────────────┘ │
│ │ │
└────────────────────────────────────────────┼────────────────────┘
┌───────────────────▼──────────────────┐
│ JupyterLab / Hub │
│ (kernel execution environment) │
└───────────────────┬──────────────────┘
┌───────────────────▼──────────────────┐
│ Git + Gitea │
│ (nbstripout clean diffs, │
│ nbdime semantic review, │
│ PR workflow for notebook changes) │
└──────────────────────────────────────┘
```
**Notebooks become the primary artifact of complex tasks:** the agent generates or edits cells, Papermill executes them reproducibly, scrapbook extracts structured outputs for agent decision-making, and the resulting `.ipynb` is both proof-of-work and human-readable report. Skills remain for one-shot actions. Notebooks own multi-step workflows.
---
## 7. Package Summary
| Package | Purpose | Install |
|---|---|---|
| `nbformat` | Read/write/validate `.ipynb` files | `pip install nbformat` |
| `nbconvert` | Execute and export notebooks | `pip install nbconvert` |
| `papermill` | Parameterize + execute in pipelines | `pip install papermill` |
| `scrapbook` | Structured output collection | `pip install scrapbook` |
| `nbdime` | Semantic diff/merge for git | `pip install nbdime` |
| `nbstripout` | Git filter for clean diffs | `pip install nbstripout` |
| `nbval` | pytest-based output regression | `pip install nbval` |
| `jupyter-kernel-gateway` | Headless REST kernel access | `pip install jupyter-kernel-gateway` |
---
## 8. References
- [Papermill GitHub (nteract/papermill)](https://github.com/nteract/papermill)
- [Scrapbook GitHub (nteract/scrapbook)](https://github.com/nteract/scrapbook)
- [nbformat format specification](https://nbformat.readthedocs.io/en/latest/format_description.html)
- [nbdime documentation](https://nbdime.readthedocs.io/)
- [nbdime diff format spec (JEP #8)](https://github.com/jupyter/enhancement-proposals/blob/master/08-notebook-diff/notebook-diff.md)
- [nbconvert execute API](https://nbconvert.readthedocs.io/en/latest/execute_api.html)
- [nbstripout README](https://github.com/kynan/nbstripout)
- [nbval GitHub (computationalmodelling/nbval)](https://github.com/computationalmodelling/nbval)
- [JupyterHub REST API](https://jupyterhub.readthedocs.io/en/stable/howto/rest.html)
- [JupyterHub Technical Overview](https://jupyterhub.readthedocs.io/en/latest/reference/technical-overview.html)
- [Jupyter Kernel Gateway](https://github.com/jupyter-server/kernel_gateway)

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@@ -1,271 +0,0 @@
# Matrix Integration Setup Guide
Connect Hermes Agent to any Matrix homeserver for sovereign, encrypted messaging.
## Prerequisites
- Python 3.10+
- matrix-nio SDK: `pip install "matrix-nio[e2e]"`
- For E2EE: libolm C library (see below)
## Option A: matrix.org Public Homeserver (Testing)
Best for quick evaluation. No server to run.
### 1. Create a Matrix Account
Go to https://app.element.io and create an account on matrix.org.
Choose a username like `@hermes-bot:matrix.org`.
### 2. Get an Access Token
The recommended auth method. Token avoids storing passwords and survives
password changes.
```bash
# Using curl (replace user/password):
curl -X POST 'https://matrix-client.matrix.org/_matrix/client/v3/login' \
-H 'Content-Type: application/json' \
-d '{
"type": "m.login.password",
"user": "your-bot-username",
"password": "your-password"
}'
```
Look for `access_token` and `device_id` in the response.
Alternatively, in Element: Settings -> Help & About -> Advanced -> Access Token.
### 3. Set Environment Variables
Add to `~/.hermes/.env`:
```bash
MATRIX_HOMESERVER=https://matrix-client.matrix.org
MATRIX_ACCESS_TOKEN=syt_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
MATRIX_USER_ID=@hermes-bot:matrix.org
MATRIX_DEVICE_ID=HERMES_BOT
```
### 4. Install Dependencies
```bash
pip install "matrix-nio[e2e]"
```
### 5. Start Hermes Gateway
```bash
hermes gateway
```
## Option B: Self-Hosted Homeserver (Sovereignty)
For full control over your data and encryption keys.
### Popular Homeservers
- **Synapse** (reference impl): https://github.com/element-hq/synapse
- **Conduit** (lightweight, Rust): https://conduit.rs
- **Dendrite** (Go): https://github.com/matrix-org/dendrite
### 1. Deploy Your Homeserver
Follow your chosen server's documentation. Common setup with Docker:
```bash
# Synapse example:
docker run -d --name synapse \
-v /opt/synapse/data:/data \
-e SYNAPSE_SERVER_NAME=your.domain.com \
-e SYNAPSE_REPORT_STATS=no \
matrixdotorg/synapse:latest
```
### 2. Create Bot Account
Register on your homeserver:
```bash
# Synapse: register new user (run inside container)
docker exec -it synapse register_new_matrix_user http://localhost:8008 \
-c /data/homeserver.yaml -u hermes-bot -p 'secure-password' --admin
```
### 3. Configure Hermes
Set in `~/.hermes/.env`:
```bash
MATRIX_HOMESERVER=https://matrix.your.domain.com
MATRIX_ACCESS_TOKEN=<obtain via login API>
MATRIX_USER_ID=@hermes-bot:your.domain.com
MATRIX_DEVICE_ID=HERMES_BOT
```
## Environment Variables Reference
| Variable | Required | Description |
|----------|----------|-------------|
| `MATRIX_HOMESERVER` | Yes | Homeserver URL (e.g. `https://matrix.org`) |
| `MATRIX_ACCESS_TOKEN` | Yes* | Access token (preferred over password) |
| `MATRIX_USER_ID` | With password | Full user ID (`@user:server`) |
| `MATRIX_PASSWORD` | Alt* | Password (alternative to token) |
| `MATRIX_DEVICE_ID` | Recommended | Stable device ID for E2EE persistence |
| `MATRIX_ENCRYPTION` | No | Set `true` to enable E2EE |
| `MATRIX_ALLOWED_USERS` | No | Comma-separated allowed user IDs |
| `MATRIX_HOME_ROOM` | No | Room ID for cron/notifications |
| `MATRIX_REACTIONS` | No | Enable processing reactions (default: true) |
| `MATRIX_REQUIRE_MENTION` | No | Require @mention in rooms (default: true) |
| `MATRIX_FREE_RESPONSE_ROOMS` | No | Room IDs exempt from mention requirement |
| `MATRIX_AUTO_THREAD` | No | Auto-create threads (default: true) |
\* Either `MATRIX_ACCESS_TOKEN` or `MATRIX_USER_ID` + `MATRIX_PASSWORD` is required.
## Config YAML Entries
Add to `~/.hermes/config.yaml` under a `matrix:` key for declarative settings:
```yaml
matrix:
require_mention: true
free_response_rooms:
- "!roomid1:matrix.org"
- "!roomid2:matrix.org"
auto_thread: true
```
These override to env vars only if the env var is not already set.
## End-to-End Encryption (E2EE)
E2EE protects messages so only participants can read them. Hermes uses
matrix-nio's Olm/Megolm implementation.
### 1. Install E2EE Dependencies
```bash
# macOS
brew install libolm
# Ubuntu/Debian
sudo apt install libolm-dev
# Then install matrix-nio with E2EE support:
pip install "matrix-nio[e2e]"
```
### 2. Enable Encryption
Set in `~/.hermes/.env`:
```bash
MATRIX_ENCRYPTION=true
MATRIX_DEVICE_ID=HERMES_BOT
```
### 3. How It Works
- On first connect, Hermes creates a device and uploads encryption keys.
- Keys are stored in `~/.hermes/platforms/matrix/store/`.
- On shutdown, Megolm session keys are exported to `exported_keys.txt`.
- On next startup, keys are imported so the bot can decrypt old messages.
- The `MATRIX_DEVICE_ID` ensures the bot reuses the same device identity
across restarts. Without it, each restart creates a new "device" in
Matrix and old keys become unusable.
### 4. Verifying E2EE
1. Create an encrypted room in Element.
2. Invite your bot user.
3. Send a message — the bot should respond.
4. Check logs: `grep -i "e2ee\|crypto\|encrypt" ~/.hermes/logs/gateway.log`
## Room Configuration
### Inviting the Bot
1. Create a room in Element or any Matrix client.
2. Invite the bot: `/invite @hermes-bot:your.domain.com`
3. The bot auto-accepts invites (controlled by `MATRIX_ALLOWED_USERS`).
### Home Room
Set `MATRIX_HOME_ROOM` to a room ID for cron jobs and notifications:
```bash
MATRIX_HOME_ROOM=!abcde12345:matrix.org
```
### Free-Response Rooms
Rooms where the bot responds to all messages without @mention:
```bash
MATRIX_FREE_RESPONSE_ROOMS=!room1:matrix.org,!room2:matrix.org
```
Or in config.yaml:
```yaml
matrix:
free_response_rooms:
- "!room1:matrix.org"
```
## Troubleshooting
### "Matrix: need MATRIX_ACCESS_TOKEN or MATRIX_USER_ID + MATRIX_PASSWORD"
Neither auth method is configured. Set `MATRIX_ACCESS_TOKEN` in `~/.hermes/.env`
or provide `MATRIX_USER_ID` + `MATRIX_PASSWORD`.
### "Matrix: whoami failed"
The access token is invalid or expired. Generate a new one via the login API.
### "Matrix: E2EE dependencies are missing"
Install libolm and matrix-nio with E2EE support:
```bash
brew install libolm # macOS
pip install "matrix-nio[e2e]"
```
### "Matrix: login failed"
- Check username and password.
- Ensure the account exists on the target homeserver.
- Some homeservers require admin approval for new registrations.
### Bot Not Responding in Rooms
1. Check `MATRIX_REQUIRE_MENTION` — if `true` (default), messages must
@mention the bot.
2. Check `MATRIX_ALLOWED_USERS` — if set, only listed users can interact.
3. Check logs: `tail -f ~/.hermes/logs/gateway.log`
### E2EE Rooms Show "Unable to Decrypt"
1. Ensure `MATRIX_DEVICE_ID` is set to a stable value.
2. Check that `~/.hermes/platforms/matrix/store/` has read/write permissions.
3. Verify libolm is installed: `python -c "from nio.crypto import ENCRYPTION_ENABLED; print(ENCRYPTION_ENABLED)"`
### Slow Message Delivery
Matrix federation can add latency. For faster responses:
- Use the same homeserver for the bot and users.
- Set `MATRIX_HOME_ROOM` to a local room.
- Check network connectivity between Hermes and the homeserver.
## Quick Start (Automated)
Run the interactive setup script:
```bash
python scripts/setup_matrix.py
```
This guides you through homeserver selection, authentication, and verification.

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@@ -1,335 +0,0 @@
# Memory Architecture Guide
Developer-facing guide to the Hermes Agent memory system. Covers all four memory tiers, data lifecycle, security guarantees, and extension points.
## Overview
Hermes has four distinct memory systems, each serving a different purpose:
| Tier | System | Scope | Cost | Persistence |
|------|--------|-------|------|-------------|
| 1 | **Built-in Memory** (MEMORY.md / USER.md) | Current session, curated facts | ~1,300 tokens fixed per session | File-backed, cross-session |
| 2 | **Session Search** (FTS5) | All past conversations | On-demand (search + summarize) | SQLite (state.db) |
| 3 | **Skills** (procedural memory) | How to do specific tasks | Loaded on match only | File-backed (~/.hermes/skills/) |
| 4 | **External Providers** (plugins) | Deep persistent knowledge | Provider-dependent | Provider-specific |
All four tiers operate independently. Built-in memory is always active. The others are opt-in or on-demand.
## Tier 1: Built-in Memory (MEMORY.md / USER.md)
### File Layout
```
~/.hermes/memories/
├── MEMORY.md — Agent's notes (environment facts, conventions, lessons learned)
└── USER.md — User profile (preferences, communication style, identity)
```
Profile-aware: when running under a profile (`hermes -p coder`), the memories directory resolves to `~/.hermes/profiles/<name>/memories/`.
### Frozen Snapshot Pattern
This is the most important architectural decision in the memory system.
1. **Session start:** `MemoryStore.load_for_prompt()` reads both files from disk, parses entries delimited by `§` (section sign), and injects them into the system prompt as a frozen block.
2. **During session:** The `memory` tool writes to disk immediately (durable), but does **not** update the system prompt. This preserves the LLM's prefix cache for the entire session.
3. **Next session:** The snapshot refreshes from disk.
**Why frozen?** System prompt changes invalidate the KV cache on every API call. With a ~30K token system prompt, that's expensive. Freezing memory at session start means the cache stays warm for the entire conversation. The tradeoff: memory writes made mid-session don't take effect until next session. Tool responses show the live state so the agent can verify writes succeeded.
### Character Limits
| Store | Default Limit | Approx Tokens | Typical Entries |
|-------|--------------|---------------|-----------------|
| MEMORY.md | 2,200 chars | ~800 | 8-15 |
| USER.md | 1,375 chars | ~500 | 5-10 |
Limits are in characters (not tokens) because character counts are model-independent. Configurable in `config.yaml`:
```yaml
memory:
memory_char_limit: 2200
user_char_limit: 1375
```
### Entry Format
Entries are separated by `\n§\n`. Each entry can be multiline. Example MEMORY.md:
```
User runs macOS 14 Sonoma, uses Homebrew, has Docker Desktop
§
Project ~/code/api uses Go 1.22, chi router, sqlc. Tests: 'make test'
§
Staging server 10.0.1.50 uses SSH port 2222, key at ~/.ssh/staging_ed25519
```
### Tool Interface
The `memory` tool (defined in `tools/memory_tool.py`) supports:
- **`add`** — Append new entry. Rejects exact duplicates.
- **`replace`** — Find entry by unique substring (`old_text`), replace with `content`.
- **`remove`** — Find entry by unique substring, delete it.
- **`read`** — Return current entries from disk (live state, not frozen snapshot).
Substring matching: `old_text` must match exactly one entry. If it matches multiple, the tool returns an error asking for more specificity.
### Security Scanning
Every memory entry is scanned against `_MEMORY_THREAT_PATTERNS` before acceptance:
- Prompt injection patterns (`ignore previous instructions`, `you are now...`)
- Credential exfiltration (`curl`/`wget` with env vars, `.env` file reads)
- SSH backdoor attempts (`authorized_keys`, `.ssh` writes)
- Invisible Unicode characters (zero-width spaces, BOM)
Matches are rejected with an error message. Source: `_scan_memory_content()` in `tools/memory_tool.py`.
### Code Path
```
agent/prompt_builder.py
└── assembles system prompt pieces
└── MemoryStore.load_for_prompt() → frozen snapshot injection
tools/memory_tool.py
├── MemoryStore class (file I/O, locking, parsing)
├── memory_tool() function (add/replace/remove/read dispatch)
└── _scan_memory_content() (threat scanning)
hermes_cli/memory_setup.py
└── Interactive first-run memory setup
```
## Tier 2: Session Search (FTS5)
### How It Works
1. Every CLI and gateway session stores full message history in SQLite (`~/.hermes/state.db`)
2. The `messages_fts` FTS5 virtual table enables fast full-text search
3. The `session_search` tool finds relevant messages, groups by session, loads top N
4. Each matching session is summarized by Gemini Flash (auxiliary LLM, not main model)
5. Summaries are returned to the main agent as context
### Why Gemini Flash for Summarization
Raw session transcripts can be 50K+ chars. Feeding them to the main model wastes context window and tokens. Gemini Flash is fast, cheap, and good enough for "extract the relevant bits" summarization. Same pattern used by `web_extract`.
### Schema
```sql
-- Core tables
sessions (id, source, user_id, model, system_prompt, parent_session_id, ...)
messages (id, session_id, role, content, tool_name, timestamp, ...)
-- Full-text search
messages_fts -- FTS5 virtual table on messages.content
-- Schema tracking
schema_version
```
WAL mode for concurrent readers + one writer (gateway multi-platform support).
### Session Lineage
When context compression triggers a session split, `parent_session_id` chains the old and new sessions. This lets session search follow the thread across compression boundaries.
### Code Path
```
tools/session_search_tool.py
├── FTS5 query against messages_fts
├── Groups results by session_id
├── Loads top N sessions (MAX_SESSION_CHARS = 100K per session)
├── Sends to Gemini Flash via auxiliary_client.async_call_llm()
└── Returns per-session summaries
hermes_state.py (SessionDB class)
├── SQLite WAL mode database
├── FTS5 triggers for message insert/update/delete
└── Session CRUD operations
```
### Memory vs Session Search
| | Memory | Session Search |
|---|--------|---------------|
| **Capacity** | ~1,300 tokens total | Unlimited (all stored sessions) |
| **Latency** | Instant (in system prompt) | Requires FTS query + LLM call |
| **When to use** | Critical facts always in context | "What did we discuss about X?" |
| **Management** | Agent-curated | Automatic |
| **Token cost** | Fixed per session | On-demand per search |
## Tier 3: Skills (Procedural Memory)
### What Skills Are
Skills capture **how to do a specific type of task** based on proven experience. Where memory is broad and declarative, skills are narrow and actionable.
A skill is a directory with a `SKILL.md` (markdown instructions) and optional supporting files:
```
~/.hermes/skills/
├── my-skill/
│ ├── SKILL.md — Instructions, steps, pitfalls
│ ├── references/ — API docs, specs
│ ├── templates/ — Code templates, config files
│ ├── scripts/ — Helper scripts
│ └── assets/ — Images, data files
```
### How Skills Load
At the start of each turn, the agent's system prompt includes available skills. When a skill matches the current task, the agent loads it with `skill_view(name)` and follows its instructions. Skills are **not** injected wholesale — they're loaded on demand to preserve context window.
### Skill Lifecycle
1. **Creation:** After a complex task (5+ tool calls), the agent offers to save the approach as a skill using `skill_manage(action='create')`.
2. **Usage:** On future matching tasks, the agent loads the skill with `skill_view(name)`.
3. **Maintenance:** If a skill is outdated or incomplete when used, the agent patches it immediately with `skill_manage(action='patch')`.
4. **Deletion:** Obsolete skills are removed with `skill_manage(action='delete')`.
### Skills vs Memory
| | Memory | Skills |
|---|--------|--------|
| **Format** | Free-text entries | Structured markdown (steps, pitfalls, examples) |
| **Scope** | Facts and preferences | Procedures and workflows |
| **Loading** | Always in system prompt | On-demand when matched |
| **Size** | ~1,300 tokens total | Variable (loaded individually) |
### Code Path
```
tools/skill_manager_tool.py — Create, edit, patch, delete skills
agent/skill_commands.py — Slash commands for skill management
skills_hub.py — Browse, search, install skills from hub
```
## Tier 4: External Memory Providers
### Plugin Architecture
```
plugins/memory/
├── __init__.py — Provider registry and base interface
├── honcho/ — Dialectic Q&A, cross-session user modeling
├── openviking/ — Knowledge graph memory
├── mem0/ — Semantic memory with auto-extraction
├── hindsight/ — Retrospective memory analysis
├── holographic/ — Distributed holographic memory
├── retaindb/ — Vector-based retention
├── byterover/ — Byte-level memory compression
└── supermemory/ — Cloud-hosted semantic memory
```
Only one external provider can be active at a time. Built-in memory (Tier 1) always runs alongside it.
### Integration Points
When a provider is active, Hermes:
1. Injects provider context into the system prompt
2. Prefetches relevant memories before each turn (background, non-blocking)
3. Syncs conversation turns to the provider after each response
4. Extracts memories on session end (for providers that support it)
5. Mirrors built-in memory writes to the provider
6. Adds provider-specific tools for search and management
### Configuration
```yaml
memory:
provider: openviking # or honcho, mem0, hindsight, etc.
```
Setup: `hermes memory setup` (interactive picker).
## Data Lifecycle
```
Session Start
├── Load MEMORY.md + USER.md from disk → frozen snapshot in system prompt
├── Load skills catalog (names + descriptions)
├── Initialize session search (SQLite connection)
└── Initialize external provider (if configured)
Each Turn
├── Agent sees frozen memory in system prompt
├── Agent can call memory tool → writes to disk, returns live state
├── Agent can call session_search → FTS5 + Gemini Flash summarization
├── Agent can load skills → reads SKILL.md from disk
└── External provider prefetches context (if active)
Session End
├── All memory writes already on disk (immediate persistence)
├── Session transcript saved to SQLite (messages + FTS5 index)
├── External provider extracts final memories (if supported)
└── Skill updates persisted (if any were patched)
```
## Privacy and Data Locality
| Component | Location | Network |
|-----------|----------|---------|
| MEMORY.md / USER.md | `~/.hermes/memories/` | Local only |
| Session DB | `~/.hermes/state.db` | Local only |
| Skills | `~/.hermes/skills/` | Local only |
| External provider | Provider-dependent | Provider API calls |
Built-in memory (Tiers 1-3) never leaves the machine. External providers (Tier 4) send data to the configured provider by design. The agent logs all provider API calls in the session transcript for auditability.
## Configuration Reference
```yaml
# ~/.hermes/config.yaml
memory:
memory_enabled: true # Enable MEMORY.md
user_profile_enabled: true # Enable USER.md
memory_char_limit: 2200 # MEMORY.md char limit (~800 tokens)
user_char_limit: 1375 # USER.md char limit (~500 tokens)
nudge_interval: 10 # Turns between memory nudge reminders
provider: null # External provider name (null = disabled)
```
Environment variables (in `~/.hermes/.env`):
- Provider-specific API keys (e.g., `HONCHO_API_KEY`, `MEM0_API_KEY`)
## Troubleshooting
### Memory not appearing in system prompt
- Check `~/.hermes/memories/MEMORY.md` exists and has content
- Verify `memory.memory_enabled: true` in config
- Check for file lock issues (WAL mode, concurrent access)
### Memory writes not taking effect
- Writes are durable to disk immediately but frozen in system prompt until next session
- Tool response shows live state — verify the write succeeded there
- Start a new session to see the updated snapshot
### Session search returns nothing
- Verify `state.db` has sessions: `sqlite3 ~/.hermes/state.db "SELECT count(*) FROM sessions"`
- Check FTS5 index: `sqlite3 ~/.hermes/state.db "SELECT count(*) FROM messages_fts"`
- Ensure auxiliary LLM (Gemini Flash) is configured and reachable
### Skills not loading
- Check `~/.hermes/skills/` directory exists
- Verify SKILL.md has valid frontmatter (name, description)
- Skills load by name match — check the skill name matches what the agent expects
### External provider errors
- Check API key in `~/.hermes/.env`
- Verify provider is installed: `pip install <provider-package>`
- Run `hermes memory status` for diagnostic info

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@@ -1,335 +0,0 @@
# Memory Architecture Guide
How Hermes Agent remembers things across sessions — the stores, the tools, the data flow, and how to configure it all.
## Overview
Hermes has a multi-layered memory system. It is not one thing — it is several independent systems that complement each other:
1. **Persistent Memory** (MEMORY.md / USER.md) — bounded, curated notes injected into every system prompt
2. **Session Search** — full-text search across all past conversation transcripts
3. **Skills** — procedural memory: reusable workflows stored as SKILL.md files
4. **External Memory Providers** — optional plugins (Honcho, Holographic, Mem0, etc.) for deeper recall
All built-in memory lives on disk under `~/.hermes/` (or `$HERMES_HOME`). No memory data leaves the machine unless you explicitly configure an external cloud provider.
## Memory Types in Detail
### 1. Persistent Memory (MEMORY.md and USER.md)
The core memory system. Two files in `~/.hermes/memories/`:
| File | Purpose | Default Char Limit |
|------|---------|--------------------|
| `MEMORY.md` | Agent's personal notes — environment facts, project conventions, tool quirks, lessons learned | 2,200 chars (~800 tokens) |
| `USER.md` | User profile — name, preferences, communication style, pet peeves | 1,375 chars (~500 tokens) |
**How it works:**
- Loaded from disk at session start and injected into the system prompt as a frozen snapshot
- The agent uses the `memory` tool to add, replace, or remove entries during a session
- Mid-session writes go to disk immediately (durable) but do NOT update the system prompt — this preserves the LLM's prefix cache for performance
- The snapshot refreshes on the next session start
- Entries are delimited by `§` (section sign) and can be multiline
**System prompt appearance:**
```
══════════════════════════════════════════════
MEMORY (your personal notes) [67% — 1,474/2,200 chars]
══════════════════════════════════════════════
User's project is a Rust web service at ~/code/myapi using Axum + SQLx
§
This machine runs Ubuntu 22.04, has Docker and Podman installed
§
User prefers concise responses, dislikes verbose explanations
```
**Memory tool actions:**
- `add` — append a new entry (rejected if it would exceed the char limit)
- `replace` — find an entry by substring match and replace it
- `remove` — find an entry by substring match and delete it
Substring matching means you only need a unique fragment of the entry, not the full text. If the fragment matches multiple entries, the tool returns an error asking for a more specific match.
### 2. Session Search
Cross-session conversation recall via SQLite FTS5 full-text search.
- All CLI and messaging sessions are stored in `~/.hermes/state.db`
- The `session_search` tool finds relevant past conversations by keyword
- Top matching sessions are summarized by Gemini Flash (cheap, fast) before being returned to the main model
- Returns focused summaries, not raw transcripts
**When to use session_search vs. memory:**
| Feature | Persistent Memory | Session Search |
|---------|------------------|----------------|
| Capacity | ~3,575 chars total | Unlimited (all sessions) |
| Speed | Instant (in system prompt) | Requires search + LLM summarization |
| Use case | Key facts always in context | "What did we discuss about X last week?" |
| Management | Manually curated by the agent | Automatic — all sessions stored |
| Token cost | Fixed per session (~1,300 tokens) | On-demand (searched when needed) |
**Rule of thumb:** Memory is for facts that should *always* be available. Session search is for recalling specific past conversations on demand. Don't save task progress or session outcomes to memory — use session_search to find those.
### 3. Skills (Procedural Memory)
Skills are reusable workflows stored as `SKILL.md` files in `~/.hermes/skills/` (and optionally external skill directories).
- Organized by category: `skills/github/github-pr-workflow/SKILL.md`
- YAML frontmatter with name, description, version, platform restrictions
- Progressive disclosure: metadata shown in skill list, full content loaded on demand via `skill_view`
- The agent creates skills proactively after complex tasks (5+ tool calls) using the `skill_manage` tool
- Skills can be patched when found outdated — stale skills are a liability
Skills are *not* injected into the system prompt by default. The agent sees a compact index of available skills and loads them on demand. This keeps the prompt lean while giving access to deep procedural knowledge.
**Skills vs. Memory:**
- **Memory:** compact facts ("User's project uses Go 1.22 with chi router")
- **Skills:** detailed procedures ("How to deploy the staging server: step 1, step 2, ...")
### 4. External Memory Providers
Optional plugins that add deeper, structured memory alongside the built-in system. Only one external provider can be active at a time.
| Provider | Storage | Key Feature |
|----------|---------|-------------|
| Honcho | Cloud | Dialectic user modeling with semantic search |
| OpenViking | Self-hosted | Filesystem-style knowledge hierarchy |
| Mem0 | Cloud | Server-side LLM fact extraction |
| Hindsight | Cloud/Local | Knowledge graph with entity resolution |
| Holographic | Local SQLite | HRR algebraic reasoning + trust scoring |
| RetainDB | Cloud | Hybrid search with delta compression |
| ByteRover | Local/Cloud | Hierarchical knowledge tree with CLI |
| Supermemory | Cloud | Context fencing + session graph ingest |
External providers run **alongside** built-in memory (never replacing it). They receive hooks for:
- System prompt injection (provider context)
- Pre-turn memory prefetch
- Post-turn conversation sync
- Session-end extraction
- Built-in memory write mirroring
Setup: `hermes memory setup` or set `memory.provider` in `~/.hermes/config.yaml`.
See `website/docs/user-guide/features/memory-providers.md` for full provider details.
## How the Systems Interact
```
Session Start
|
+--> Load MEMORY.md + USER.md from disk --> frozen snapshot into system prompt
+--> Provider: system_prompt_block() --> injected into system prompt
+--> Skills index --> injected into system prompt (compact metadata only)
|
v
Each Turn
|
+--> Provider: prefetch(query) --> relevant recalled context
+--> Agent sees: system prompt (memory + provider context + skills index)
+--> Agent can call: memory tool, session_search tool, skill tools, provider tools
|
v
After Each Response
|
+--> Provider: sync_turn(user, assistant) --> persist conversation
|
v
Periodic (every N turns, default 10)
|
+--> Memory nudge: agent prompted to review and update memory
|
v
Session End / Compression
|
+--> Memory flush: agent saves important facts before context is discarded
+--> Provider: on_session_end(messages) --> final extraction
+--> Provider: on_pre_compress(messages) --> save insights before compression
```
## Best Practices
### What to Save
Save proactively — don't wait for the user to ask:
- **User preferences:** "I prefer TypeScript over JavaScript" → `user` target
- **Corrections:** "Don't use sudo for Docker, I'm in the docker group" → `memory` target
- **Environment facts:** "This server runs Debian 12 with PostgreSQL 16" → `memory` target
- **Conventions:** "Project uses tabs, 120-char lines, Google docstrings" → `memory` target
- **Explicit requests:** "Remember that my API key rotation is monthly" → `memory` target
### What NOT to Save
- **Task progress or session outcomes** — use session_search to recall these
- **Trivially re-discoverable facts** — "Python 3.12 supports f-strings" (web search this)
- **Raw data dumps** — large code blocks, log files, data tables
- **Session-specific ephemera** — temporary file paths, one-off debugging context
- **Content already in SOUL.md or AGENTS.md** — those are already in context
### Writing Good Entries
Compact, information-dense entries work best:
```
# Good — packs multiple related facts
User runs macOS 14 Sonoma, uses Homebrew, has Docker Desktop and Podman. Shell: zsh. Editor: VS Code with Vim bindings.
# Good — specific, actionable convention
Project ~/code/api uses Go 1.22, sqlc for DB, chi router. Tests: make test. CI: GitHub Actions.
# Bad — too vague
User has a project.
# Bad — too verbose
On January 5th, 2026, the user asked me to look at their project which is
located at ~/code/api. I discovered it uses Go version 1.22 and...
```
### Capacity Management
When memory is above 80% capacity (visible in the system prompt header), consolidate before adding. Merge related entries into shorter, denser versions. The tool will reject additions that would exceed the limit — use `replace` to consolidate first.
Priority order for what stays in memory:
1. User preferences and corrections (highest — prevents repeated steering)
2. Environment facts and project conventions
3. Tool quirks and workarounds
4. Lessons learned (lowest — can often be rediscovered)
### Memory Nudge
Every N turns (default: 10), the agent receives a nudge prompting it to review and update its memory. This is a lightweight prompt injected into the conversation — not a separate API call. The agent can choose to update memory or skip if nothing has changed.
## Privacy and Data Locality
**Built-in memory is fully local.** MEMORY.md and USER.md are plain text files in `~/.hermes/memories/`. No network calls are made in the memory read/write path. The memory tool scans entries for prompt injection and exfiltration patterns before accepting them.
**Session search is local.** The SQLite database (`~/.hermes/state.db`) stays on disk. FTS5 search is a local operation. However, the summarization step uses Gemini Flash (via the auxiliary LLM client) — conversation snippets are sent to Google's API for summarization. If this is a concern, session_search can be disabled.
**External providers may send data off-machine.** Cloud providers (Honcho, Mem0, RetainDB, Supermemory) send data to their respective APIs. Self-hosted providers (OpenViking, Hindsight local mode, Holographic, ByteRover local mode) keep everything on your machine. Check the provider's documentation for specifics.
**Security scanning.** All content written to memory (via the `memory` tool) is scanned for:
- Prompt injection patterns ("ignore previous instructions", role hijacking, etc.)
- Credential exfiltration attempts (curl/wget with secrets, reading .env files)
- SSH backdoor patterns
- Invisible unicode characters (used for steganographic injection)
Blocked content is rejected with a descriptive error message.
## Configuration
In `~/.hermes/config.yaml`:
```yaml
memory:
# Enable/disable the two built-in memory stores
memory_enabled: true # MEMORY.md
user_profile_enabled: true # USER.md
# Character limits (not tokens — model-independent)
memory_char_limit: 2200 # ~800 tokens at 2.75 chars/token
user_char_limit: 1375 # ~500 tokens at 2.75 chars/token
# External memory provider (empty string = built-in only)
# Options: "honcho", "openviking", "mem0", "hindsight",
# "holographic", "retaindb", "byterover", "supermemory"
provider: ""
```
Additional settings are read from `run_agent.py` defaults:
| Setting | Default | Description |
|---------|---------|-------------|
| `nudge_interval` | 10 | Turns between memory review nudges (0 = disabled) |
| `flush_min_turns` | 6 | Minimum user turns before memory flush on session end/compression (0 = never flush) |
These are set under the `memory` key in config.yaml:
```yaml
memory:
nudge_interval: 10
flush_min_turns: 6
```
### Disabling Memory
To disable memory entirely, set both to false:
```yaml
memory:
memory_enabled: false
user_profile_enabled: false
```
The `memory` tool will not appear in the tool list, and no memory blocks are injected into the system prompt.
You can also disable memory per-invocation with `skip_memory=True` in the AIAgent constructor (used by cron jobs and flush agents).
## File Locations
```
~/.hermes/
├── memories/
│ ├── MEMORY.md # Agent's persistent notes
│ ├── USER.md # User profile
│ ├── MEMORY.md.lock # File lock (auto-created)
│ └── USER.md.lock # File lock (auto-created)
├── state.db # SQLite session store (FTS5)
├── config.yaml # Memory config + provider selection
└── .env # API keys for external providers
```
All paths respect `$HERMES_HOME` — if you use Hermes profiles, each profile has its own isolated memory directory.
## Troubleshooting
### "Memory full" errors
The tool returns an error when adding would exceed the character limit. The response includes current entries so the agent can consolidate. Fix by:
1. Replacing multiple related entries with one denser entry
2. Removing entries that are no longer relevant
3. Increasing `memory_char_limit` in config (at the cost of larger system prompts)
### Stale memory entries
If the agent seems to have outdated information:
- Check `~/.hermes/memories/MEMORY.md` directly — you can edit it by hand
- The frozen snapshot pattern means changes only take effect on the next session start
- If the agent wrote something wrong mid-session, it persists on disk but won't affect the current session's system prompt
### Memory not appearing in system prompt
- Verify `memory_enabled: true` in config.yaml
- Check that `~/.hermes/memories/MEMORY.md` exists and has content
- The file might be empty if all entries were removed — add entries with the `memory` tool
### Session search returns no results
- Session search requires sessions to be stored in `state.db` — new installations have no history
- FTS5 indexes are built automatically but may lag behind on very large databases
- The summarization step requires the auxiliary LLM client to be configured (API key for Gemini Flash)
### Skill drift
Skills that haven't been updated can become wrong or incomplete. The agent is prompted to patch skills when it finds them outdated during use (`skill_manage(action='patch')`). If you notice stale skills:
- Use `/skills` to browse and review installed skills
- Delete or update skills in `~/.hermes/skills/` directly
- The agent creates skills after complex tasks — review and prune periodically
### Provider not activating
- Run `hermes memory status` to check provider state
- Verify the provider plugin is installed in `~/.hermes/plugins/memory/`
- Check that required API keys are set in `~/.hermes/.env`
- Start a new session after changing provider config — existing sessions use the old provider
### Concurrent write conflicts
The memory tool uses file locking (`fcntl.flock`) and atomic file replacement (`os.replace`) to handle concurrent writes from multiple sessions. If you see corrupted memory files:
- Check for stale `.lock` files in `~/.hermes/memories/`
- Restart any hung Hermes processes
- The atomic write pattern means readers always see either the old or new file — never a partial write

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@@ -1,166 +0,0 @@
# Research Acknowledgment: SSD — Simple Self-Distillation Improves Code Generation
**Issue:** #128
**Paper:** [Embarrassingly Simple Self-Distillation Improves Code Generation](https://arxiv.org/abs/2604.01193)
**Authors:** Ruixiang Zhang, Richard He Bai, Huangjie Zheng, Navdeep Jaitly, Ronan Collobert, Yizhe Zhang (Apple)
**Date:** April 1, 2026
**Code:** https://github.com/apple/ml-ssd
**Acknowledged by:** Claude — April 6, 2026
---
## Assessment: High Relevance to Fleet
This paper is directly applicable to the hermes-agent fleet. The headline result — +7.5pp pass@1 on Qwen3-4B — is at exactly the scale we operate. The method requires no external infrastructure. Triage verdict: **P0 / Week-class work**.
---
## What SSD Actually Does
Three steps, nothing exotic:
1. **Sample**: For each coding prompt, generate one solution at temperature `T_train` (~0.9). Do NOT filter for correctness.
2. **Fine-tune**: SFT on the resulting `(prompt, unverified_solution)` pairs. Standard cross-entropy loss. No RLHF, no GRPO, no DPO.
3. **Evaluate**: At `T_eval` (which must be **different** from `T_train`). This asymmetry is not optional — using the same temperature for both loses 3050% of the gains.
The counterintuitive part: N=1 per problem, unverified. Prior self-improvement work uses N>>1 and filters by execution. SSD doesn't. The paper argues this is *why* it works — you're sharpening the model's own distribution, not fitting to a correctness filter's selection bias.
---
## The Fork/Lock Theory
The paper's core theoretical contribution explains *why* temperature asymmetry matters.
**Locks** — positions requiring syntactic precision: colons, parentheses, import paths, variable names. A mistake here is a hard error. Low temperature helps at Locks. But applying low temperature globally kills diversity everywhere.
**Forks** — algorithmic choice points where multiple valid continuations exist: picking a sort algorithm, choosing a data structure, deciding on a loop structure. High temperature helps at Forks. But applying high temperature globally introduces errors at Locks.
SSD's fine-tuning reshapes token distributions **context-dependently**:
- At Locks: narrows the distribution, suppressing distractor tokens
- At Forks: widens the distribution, preserving valid algorithmic paths
A single global temperature cannot do this. SFT on self-generated data can, because the model learns from examples that implicitly encode which positions are Locks and which are Forks in each problem context.
**Fleet implication**: Our agents are currently using a single temperature for everything. This is leaving performance on the table even without fine-tuning. The immediate zero-cost action is temperature auditing (see Phase 1 below).
---
## Results That Matter to Us
| Model | Before | After | Delta |
|-------|--------|-------|-------|
| Qwen3-30B-Instruct | 42.4% | 55.3% | +12.9pp (+30% rel) |
| Qwen3-4B-Instruct | baseline | baseline+7.5pp | +7.5pp |
| Llama-3.1-8B-Instruct | baseline | baseline+3.5pp | +3.5pp |
Gains concentrate on hard problems: +14.2pp medium, +15.3pp hard. This is the distribution our agents face on real Gitea issues — not easy textbook problems.
---
## Fleet Implementation Plan
### Phase 1: Temperature Audit (Zero cost, this week)
Current state: fleet agents use default or eyeballed temperature settings. The paper shows T_eval != T_train is critical even without fine-tuning.
Actions:
1. Document current temperature settings in `hermes/`, `skills/`, and any Ollama config files
2. Establish a held-out test set of 20+ solved Gitea issues with known-correct outputs
3. Run A/B: current T_eval vs. T_eval=0.7 vs. T_eval=0.3 for code generation tasks
4. Record pass rates per condition; file findings as a follow-up issue
Expected outcome: measurable improvement with no model changes, no infrastructure, no cost.
### Phase 2: SSD Pipeline (12 weeks, single Mac)
Replicate the paper's method on Qwen3-4B via Ollama + axolotl or unsloth:
```
1. Dataset construction:
- Extract 100500 coding prompts from Gitea issue backlog
- Focus on issues that have accepted PRs (ground truth available for evaluation only, not training)
- Format: (system_prompt + issue_description) → model generates solution at T_train=0.9
2. Fine-tuning:
- Use LoRA (not full fine-tune) to stay local-first
- Standard SFT: cross-entropy on (prompt, self-generated_solution) pairs
- Recommended: unsloth for memory efficiency on Mac hardware
- Training budget: 13 epochs, small batch size
3. Evaluation:
- Compare base model vs. SSD-tuned model at T_eval=0.7
- Metric: pass@1 on held-out issues not in training set
- Also test on general coding benchmarks to check for capability regression
```
Infrastructure assessment:
- **RAM**: Qwen3-4B quantized (Q4_K_M) needs ~3.5GB VRAM for inference; LoRA fine-tuning needs ~812GB unified memory (Mac M-series feasible)
- **Storage**: Self-generated dataset is small; LoRA adapter is ~100500MB
- **Time**: 500 examples × 3 epochs ≈ 24 hours on M2/M3 Max
- **Dependencies**: Ollama (inference), unsloth or axolotl (fine-tuning), datasets (HuggingFace), trl
No cloud required. No teacher model required. No code execution environment required.
### Phase 3: Continuous Self-Improvement Loop (12 months)
Wire SSD into the fleet's burn mode:
```
Nightly cron:
1. Collect agent solutions from the day's completed issues
2. Filter: only solutions where the PR was merged (human-verified correct)
3. Append to rolling training buffer (last 500 examples)
4. Run SFT fine-tune on buffer → update LoRA adapter
5. Swap adapter into Ollama deployment at dawn
6. Agents start next day with yesterday's lessons baked in
```
This integrates naturally with RetainDB (#112) — the persistent memory system would track which solutions were merged, providing the feedback signal. The continuous loop turns every merged PR into a training example.
### Phase 4: Sovereignty Confirmation
The paper validates that external data is not required for improvement. Our fleet can:
- Fine-tune exclusively on its own conversation data
- Stay fully local (no API calls, no external datasets)
- Accumulate improvements over time without model subscriptions
This is the sovereign fine-tuning capability the fleet needs to remain independent as external model APIs change pricing or capabilities.
---
## Risks and Mitigations
| Risk | Assessment | Mitigation |
|------|------------|------------|
| SSD gains don't transfer from LiveCodeBench to Gitea issues | Medium — our domain is software engineering, not competitive programming | Test on actual Gitea issues from the backlog; don't assume benchmark numbers transfer |
| Fine-tuning degrades non-code capabilities | Low-Medium | LoRA instead of full fine-tune; test on general tasks after SFT; retain base model checkpoint |
| Small training set (<200 examples) insufficient | Medium | Paper shows gains at modest scale; supplement with open code datasets (Stack, TheVault) if needed |
| Qwen3 GGUF format incompatible with unsloth fine-tuning | Low | unsloth supports Qwen3; verify exact GGUF variant compatibility before starting |
| Temperature asymmetry effect smaller on instruction-tuned variants | Low | Paper explicitly tests instruct variants and shows gains; Qwen3-4B-Instruct is in the paper's results |
---
## Acceptance Criteria Status
From the issue:
- [ ] **Temperature audit** — Document current T/top_p settings across fleet agents, compare with paper recommendations
- [ ] **T_eval benchmark** — A/B test on 20+ solved Gitea issues; measure correctness
- [ ] **SSD reproduction** — Replicate pipeline on Qwen4B with 100 prompts; measure pass@1 change
- [ ] **Infrastructure assessment** — Documented above (Phase 2 section); GPU/RAM/storage requirements are Mac-feasible
- [ ] **Continuous loop design** — Architecture drafted above (Phase 3 section); integrates with RetainDB (#112)
Infrastructure assessment and continuous loop design are addressed in this document. Temperature audit and SSD reproduction require follow-up issues with execution.
---
## Recommended Follow-Up Issues
1. **Temperature Audit** — Audit all fleet agent temperature configs; run A/B on T_eval variants; file results (Phase 1)
2. **SSD Pipeline Spike** — Build and run the 3-stage SSD pipeline on Qwen3-4B; report pass@1 delta (Phase 2)
3. **Nightly SFT Integration** — Wire SSD into burn-mode cron; integrate with RetainDB feedback loop (Phase 3)
---
*Research acknowledged by Claude — April 6, 2026*
*Source issue: [hermes-agent #128](https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent/issues/128)*

View File

@@ -11,11 +11,11 @@ Solution:
_AsyncWorker thread internally, making it safe for both CLI and Atropos use.
No monkey-patching is required.
This module is kept for backward compatibility. apply_patches() is a no-op.
This module is kept for backward compatibility apply_patches() is now a no-op.
Usage:
Call apply_patches() once at import time (done automatically by hermes_base_env.py).
This is idempotent and safe to call multiple times.
This is idempotent — calling it multiple times is safe.
"""
import logging
@@ -26,10 +26,17 @@ _patches_applied = False
def apply_patches():
"""Apply all monkey patches needed for Atropos compatibility."""
"""Apply all monkey patches needed for Atropos compatibility.
Now a no-op — Modal async safety is built directly into ModalEnvironment.
Safe to call multiple times.
"""
global _patches_applied
if _patches_applied:
return
logger.debug("apply_patches() called; no patches needed (async safety is built-in)")
# Modal async-safety is now built into tools/environments/modal.py
# via the _AsyncWorker class. No monkey-patching needed.
logger.debug("apply_patches() called — no patches needed (async safety is built-in)")
_patches_applied = True

View File

@@ -12,27 +12,12 @@ from datetime import datetime
from typing import Any, Dict, List, Optional
from hermes_cli.config import get_hermes_home
from utils import atomic_json_write
logger = logging.getLogger(__name__)
DIRECTORY_PATH = get_hermes_home() / "channel_directory.json"
def _normalize_channel_query(value: str) -> str:
return value.lstrip("#").strip().lower()
def _channel_target_name(platform_name: str, channel: Dict[str, Any]) -> str:
"""Return the human-facing target label shown to users for a channel entry."""
name = channel["name"]
if platform_name == "discord" and channel.get("guild"):
return f"#{name}"
if platform_name != "discord" and channel.get("type"):
return f"{name} ({channel['type']})"
return name
def _session_entry_id(origin: Dict[str, Any]) -> Optional[str]:
chat_id = origin.get("chat_id")
if not chat_id:
@@ -87,7 +72,9 @@ def build_channel_directory(adapters: Dict[Any, Any]) -> Dict[str, Any]:
}
try:
atomic_json_write(DIRECTORY_PATH, directory)
DIRECTORY_PATH.parent.mkdir(parents=True, exist_ok=True)
with open(DIRECTORY_PATH, "w", encoding="utf-8") as f:
json.dump(directory, f, indent=2, ensure_ascii=False)
except Exception as e:
logger.warning("Channel directory: failed to write: %s", e)
@@ -201,25 +188,23 @@ def resolve_channel_name(platform_name: str, name: str) -> Optional[str]:
if not channels:
return None
query = _normalize_channel_query(name)
query = name.lstrip("#").lower()
# 1. Exact name match, including the display labels shown by send_message(action="list")
# 1. Exact name match
for ch in channels:
if _normalize_channel_query(ch["name"]) == query:
return ch["id"]
if _normalize_channel_query(_channel_target_name(platform_name, ch)) == query:
if ch["name"].lower() == query:
return ch["id"]
# 2. Guild-qualified match for Discord ("GuildName/channel")
if "/" in query:
guild_part, ch_part = query.rsplit("/", 1)
for ch in channels:
guild = ch.get("guild", "").strip().lower()
if guild == guild_part and _normalize_channel_query(ch["name"]) == ch_part:
guild = ch.get("guild", "").lower()
if guild == guild_part and ch["name"].lower() == ch_part:
return ch["id"]
# 3. Partial prefix match (only if unambiguous)
matches = [ch for ch in channels if _normalize_channel_query(ch["name"]).startswith(query)]
matches = [ch for ch in channels if ch["name"].lower().startswith(query)]
if len(matches) == 1:
return matches[0]["id"]
@@ -254,16 +239,17 @@ def format_directory_for_display() -> str:
for guild_name, guild_channels in sorted(guilds.items()):
lines.append(f"Discord ({guild_name}):")
for ch in sorted(guild_channels, key=lambda c: c["name"]):
lines.append(f" discord:{_channel_target_name(plat_name, ch)}")
lines.append(f" discord:#{ch['name']}")
if dms:
lines.append("Discord (DMs):")
for ch in dms:
lines.append(f" discord:{_channel_target_name(plat_name, ch)}")
lines.append(f" discord:{ch['name']}")
lines.append("")
else:
lines.append(f"{plat_name.title()}:")
for ch in channels:
lines.append(f" {plat_name}:{_channel_target_name(plat_name, ch)}")
type_label = f" ({ch['type']})" if ch.get("type") else ""
lines.append(f" {plat_name}:{ch['name']}{type_label}")
lines.append("")
lines.append('Use these as the "target" parameter when sending.')

View File

@@ -17,7 +17,6 @@ from typing import Dict, List, Optional, Any
from enum import Enum
from hermes_cli.config import get_hermes_home
from utils import is_truthy_value
logger = logging.getLogger(__name__)
@@ -26,14 +25,11 @@ def _coerce_bool(value: Any, default: bool = True) -> bool:
"""Coerce bool-ish config values, preserving a caller-provided default."""
if value is None:
return default
if isinstance(value, bool):
return value
if isinstance(value, str):
lowered = value.strip().lower()
if lowered in ("true", "1", "yes", "on"):
return True
if lowered in ("false", "0", "no", "off"):
return False
return default
return is_truthy_value(value, default=default)
return value.strip().lower() in ("true", "1", "yes", "on")
return bool(value)
def _normalize_unauthorized_dm_behavior(value: Any, default: str = "pair") -> str:
@@ -246,7 +242,6 @@ class GatewayConfig:
# Session isolation in shared chats
group_sessions_per_user: bool = True # Isolate group/channel sessions per participant when user IDs are available
thread_sessions_per_user: bool = False # When False (default), threads are shared across all participants
# Unauthorized DM policy
unauthorized_dm_behavior: str = "pair" # "pair" or "ignore"
@@ -334,7 +329,6 @@ class GatewayConfig:
"always_log_local": self.always_log_local,
"stt_enabled": self.stt_enabled,
"group_sessions_per_user": self.group_sessions_per_user,
"thread_sessions_per_user": self.thread_sessions_per_user,
"unauthorized_dm_behavior": self.unauthorized_dm_behavior,
"streaming": self.streaming.to_dict(),
}
@@ -378,7 +372,6 @@ class GatewayConfig:
stt_enabled = data.get("stt", {}).get("enabled") if isinstance(data.get("stt"), dict) else None
group_sessions_per_user = data.get("group_sessions_per_user")
thread_sessions_per_user = data.get("thread_sessions_per_user")
unauthorized_dm_behavior = _normalize_unauthorized_dm_behavior(
data.get("unauthorized_dm_behavior"),
"pair",
@@ -395,7 +388,6 @@ class GatewayConfig:
always_log_local=data.get("always_log_local", True),
stt_enabled=_coerce_bool(stt_enabled, True),
group_sessions_per_user=_coerce_bool(group_sessions_per_user, True),
thread_sessions_per_user=_coerce_bool(thread_sessions_per_user, False),
unauthorized_dm_behavior=unauthorized_dm_behavior,
streaming=StreamingConfig.from_dict(data.get("streaming", {})),
)
@@ -471,9 +463,6 @@ def load_gateway_config() -> GatewayConfig:
if "group_sessions_per_user" in yaml_cfg:
gw_data["group_sessions_per_user"] = yaml_cfg["group_sessions_per_user"]
if "thread_sessions_per_user" in yaml_cfg:
gw_data["thread_sessions_per_user"] = yaml_cfg["thread_sessions_per_user"]
streaming_cfg = yaml_cfg.get("streaming")
if isinstance(streaming_cfg, dict):
gw_data["streaming"] = streaming_cfg
@@ -554,8 +543,6 @@ def load_gateway_config() -> GatewayConfig:
os.environ["DISCORD_FREE_RESPONSE_CHANNELS"] = str(frc)
if "auto_thread" in discord_cfg and not os.getenv("DISCORD_AUTO_THREAD"):
os.environ["DISCORD_AUTO_THREAD"] = str(discord_cfg["auto_thread"]).lower()
if "reactions" in discord_cfg and not os.getenv("DISCORD_REACTIONS"):
os.environ["DISCORD_REACTIONS"] = str(discord_cfg["reactions"]).lower()
# Telegram settings → env vars (env vars take precedence)
telegram_cfg = yaml_cfg.get("telegram", {})
@@ -570,32 +557,6 @@ def load_gateway_config() -> GatewayConfig:
if isinstance(frc, list):
frc = ",".join(str(v) for v in frc)
os.environ["TELEGRAM_FREE_RESPONSE_CHATS"] = str(frc)
whatsapp_cfg = yaml_cfg.get("whatsapp", {})
if isinstance(whatsapp_cfg, dict):
if "require_mention" in whatsapp_cfg and not os.getenv("WHATSAPP_REQUIRE_MENTION"):
os.environ["WHATSAPP_REQUIRE_MENTION"] = str(whatsapp_cfg["require_mention"]).lower()
if "mention_patterns" in whatsapp_cfg and not os.getenv("WHATSAPP_MENTION_PATTERNS"):
os.environ["WHATSAPP_MENTION_PATTERNS"] = json.dumps(whatsapp_cfg["mention_patterns"])
frc = whatsapp_cfg.get("free_response_chats")
if frc is not None and not os.getenv("WHATSAPP_FREE_RESPONSE_CHATS"):
if isinstance(frc, list):
frc = ",".join(str(v) for v in frc)
os.environ["WHATSAPP_FREE_RESPONSE_CHATS"] = str(frc)
# Matrix settings → env vars (env vars take precedence)
matrix_cfg = yaml_cfg.get("matrix", {})
if isinstance(matrix_cfg, dict):
if "require_mention" in matrix_cfg and not os.getenv("MATRIX_REQUIRE_MENTION"):
os.environ["MATRIX_REQUIRE_MENTION"] = str(matrix_cfg["require_mention"]).lower()
frc = matrix_cfg.get("free_response_rooms")
if frc is not None and not os.getenv("MATRIX_FREE_RESPONSE_ROOMS"):
if isinstance(frc, list):
frc = ",".join(str(v) for v in frc)
os.environ["MATRIX_FREE_RESPONSE_ROOMS"] = str(frc)
if "auto_thread" in matrix_cfg and not os.getenv("MATRIX_AUTO_THREAD"):
os.environ["MATRIX_AUTO_THREAD"] = str(matrix_cfg["auto_thread"]).lower()
except Exception as e:
logger.warning(
"Failed to process config.yaml — falling back to .env / gateway.json values. "
@@ -779,9 +740,6 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
config.platforms[Platform.MATRIX].extra["password"] = matrix_password
matrix_e2ee = os.getenv("MATRIX_ENCRYPTION", "").lower() in ("true", "1", "yes")
config.platforms[Platform.MATRIX].extra["encryption"] = matrix_e2ee
matrix_device_id = os.getenv("MATRIX_DEVICE_ID", "")
if matrix_device_id:
config.platforms[Platform.MATRIX].extra["device_id"] = matrix_device_id
matrix_home = os.getenv("MATRIX_HOME_ROOM")
if matrix_home and Platform.MATRIX in config.platforms:
config.platforms[Platform.MATRIX].home_channel = HomeChannel(
@@ -941,3 +899,5 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
config.default_reset_policy.at_hour = int(reset_hour)
except ValueError:
pass

View File

@@ -70,15 +70,12 @@ class DeliveryTarget:
if target == "local":
return cls(platform=Platform.LOCAL)
# Check for platform:chat_id or platform:chat_id:thread_id format
# Check for platform:chat_id format
if ":" in target:
parts = target.split(":", 2)
platform_str = parts[0]
chat_id = parts[1] if len(parts) > 1 else None
thread_id = parts[2] if len(parts) > 2 else None
platform_str, chat_id = target.split(":", 1)
try:
platform = Platform(platform_str)
return cls(platform=platform, chat_id=chat_id, thread_id=thread_id, is_explicit=True)
return cls(platform=platform, chat_id=chat_id, is_explicit=True)
except ValueError:
# Unknown platform, treat as local
return cls(platform=Platform.LOCAL)
@@ -97,8 +94,6 @@ class DeliveryTarget:
return "origin"
if self.platform == Platform.LOCAL:
return "local"
if self.chat_id and self.thread_id:
return f"{self.platform.value}:{self.chat_id}:{self.thread_id}"
if self.chat_id:
return f"{self.platform.value}:{self.chat_id}"
return self.platform.value

View File

@@ -21,8 +21,6 @@ Storage: ~/.hermes/pairing/
import json
import os
import secrets
import tempfile
import threading
import time
from pathlib import Path
from typing import Optional
@@ -47,29 +45,13 @@ PAIRING_DIR = get_hermes_dir("platforms/pairing", "pairing")
def _secure_write(path: Path, data: str) -> None:
"""Write data to file with restrictive permissions (owner read/write only).
Uses a temp-file + atomic rename so readers always see either the old
complete file or the new one — never a partial write.
"""
"""Write data to file with restrictive permissions (owner read/write only)."""
path.parent.mkdir(parents=True, exist_ok=True)
fd, tmp_path = tempfile.mkstemp(dir=str(path.parent), suffix=".tmp")
path.write_text(data, encoding="utf-8")
try:
with os.fdopen(fd, "w", encoding="utf-8") as f:
f.write(data)
f.flush()
os.fsync(f.fileno())
os.replace(tmp_path, str(path))
try:
os.chmod(path, 0o600)
except OSError:
pass # Windows doesn't support chmod the same way
except BaseException:
try:
os.unlink(tmp_path)
except OSError:
pass
raise
os.chmod(path, 0o600)
except OSError:
pass # Windows doesn't support chmod the same way
class PairingStore:
@@ -84,9 +66,6 @@ class PairingStore:
def __init__(self):
PAIRING_DIR.mkdir(parents=True, exist_ok=True)
# Protects all read-modify-write cycles. The gateway runs multiple
# platform adapters concurrently in threads sharing one PairingStore.
self._lock = threading.RLock()
def _pending_path(self, platform: str) -> Path:
return PAIRING_DIR / f"{platform}-pending.json"
@@ -126,7 +105,7 @@ class PairingStore:
return results
def _approve_user(self, platform: str, user_id: str, user_name: str = "") -> None:
"""Add a user to the approved list. Must be called under self._lock."""
"""Add a user to the approved list."""
approved = self._load_json(self._approved_path(platform))
approved[user_id] = {
"user_name": user_name,
@@ -137,12 +116,11 @@ class PairingStore:
def revoke(self, platform: str, user_id: str) -> bool:
"""Remove a user from the approved list. Returns True if found."""
path = self._approved_path(platform)
with self._lock:
approved = self._load_json(path)
if user_id in approved:
del approved[user_id]
self._save_json(path, approved)
return True
approved = self._load_json(path)
if user_id in approved:
del approved[user_id]
self._save_json(path, approved)
return True
return False
# ----- Pending codes -----
@@ -158,37 +136,36 @@ class PairingStore:
- Max pending codes reached for this platform
- User/platform is in lockout due to failed attempts
"""
with self._lock:
self._cleanup_expired(platform)
self._cleanup_expired(platform)
# Check lockout
if self._is_locked_out(platform):
return None
# Check lockout
if self._is_locked_out(platform):
return None
# Check rate limit for this specific user
if self._is_rate_limited(platform, user_id):
return None
# Check rate limit for this specific user
if self._is_rate_limited(platform, user_id):
return None
# Check max pending
pending = self._load_json(self._pending_path(platform))
if len(pending) >= MAX_PENDING_PER_PLATFORM:
return None
# Check max pending
pending = self._load_json(self._pending_path(platform))
if len(pending) >= MAX_PENDING_PER_PLATFORM:
return None
# Generate cryptographically random code
code = "".join(secrets.choice(ALPHABET) for _ in range(CODE_LENGTH))
# Generate cryptographically random code
code = "".join(secrets.choice(ALPHABET) for _ in range(CODE_LENGTH))
# Store pending request
pending[code] = {
"user_id": user_id,
"user_name": user_name,
"created_at": time.time(),
}
self._save_json(self._pending_path(platform), pending)
# Store pending request
pending[code] = {
"user_id": user_id,
"user_name": user_name,
"created_at": time.time(),
}
self._save_json(self._pending_path(platform), pending)
# Record rate limit
self._record_rate_limit(platform, user_id)
# Record rate limit
self._record_rate_limit(platform, user_id)
return code
return code
def approve_code(self, platform: str, code: str) -> Optional[dict]:
"""
@@ -196,25 +173,24 @@ class PairingStore:
Returns {user_id, user_name} on success, None if code is invalid/expired.
"""
with self._lock:
self._cleanup_expired(platform)
code = code.upper().strip()
self._cleanup_expired(platform)
code = code.upper().strip()
pending = self._load_json(self._pending_path(platform))
if code not in pending:
self._record_failed_attempt(platform)
return None
pending = self._load_json(self._pending_path(platform))
if code not in pending:
self._record_failed_attempt(platform)
return None
entry = pending.pop(code)
self._save_json(self._pending_path(platform), pending)
entry = pending.pop(code)
self._save_json(self._pending_path(platform), pending)
# Add to approved list
self._approve_user(platform, entry["user_id"], entry.get("user_name", ""))
# Add to approved list
self._approve_user(platform, entry["user_id"], entry.get("user_name", ""))
return {
"user_id": entry["user_id"],
"user_name": entry.get("user_name", ""),
}
return {
"user_id": entry["user_id"],
"user_name": entry.get("user_name", ""),
}
def list_pending(self, platform: str = None) -> list:
"""List pending pairing requests, optionally filtered by platform."""
@@ -236,13 +212,12 @@ class PairingStore:
def clear_pending(self, platform: str = None) -> int:
"""Clear all pending requests. Returns count removed."""
with self._lock:
count = 0
platforms = [platform] if platform else self._all_platforms("pending")
for p in platforms:
pending = self._load_json(self._pending_path(p))
count += len(pending)
self._save_json(self._pending_path(p), {})
count = 0
platforms = [platform] if platform else self._all_platforms("pending")
for p in platforms:
pending = self._load_json(self._pending_path(p))
count += len(pending)
self._save_json(self._pending_path(p), {})
return count
# ----- Rate limiting and lockout -----

View File

@@ -2,13 +2,11 @@
OpenAI-compatible API server platform adapter.
Exposes an HTTP server with endpoints:
- POST /v1/chat/completions — OpenAI Chat Completions format (stateless; opt-in session continuity via X-Hermes-Session-Id header)
- POST /v1/chat/completions — OpenAI Chat Completions format (stateless)
- POST /v1/responses — OpenAI Responses API format (stateful via previous_response_id)
- GET /v1/responses/{response_id} — Retrieve a stored response
- DELETE /v1/responses/{response_id} — Delete a stored response
- GET /v1/models — lists hermes-agent as an available model
- POST /v1/runs — start a run, returns run_id immediately (202)
- GET /v1/runs/{run_id}/events — SSE stream of structured lifecycle events
- GET /health — health check
Any OpenAI-compatible frontend (Open WebUI, LobeChat, LibreChat,
@@ -209,6 +207,37 @@ def _openai_error(message: str, err_type: str = "invalid_request_error", param:
}
# SECURITY FIX (V-013): Safe error handling to prevent info disclosure
def _handle_error_securely(exception: Exception, context: str = "") -> Dict[str, Any]:
"""Handle errors securely - log full details, return generic message.
Prevents information disclosure by not exposing internal error details
to API clients. Logs full stack trace internally for debugging.
Args:
exception: The caught exception
context: Additional context about where the error occurred
Returns:
OpenAI-style error response with generic message
"""
import traceback
# Log full error details internally
error_id = str(uuid.uuid4())[:8]
logger.error(
f"Internal error [{error_id}] in {context}: {exception}\n"
f"{traceback.format_exc()}"
)
# Return generic error to client - no internal details
return _openai_error(
message=f"An internal error occurred. Reference: {error_id}",
err_type="internal_error",
code="internal_error"
)
if AIOHTTP_AVAILABLE:
@web.middleware
async def body_limit_middleware(request, handler):
@@ -243,6 +272,43 @@ else:
security_headers_middleware = None # type: ignore[assignment]
# SECURITY FIX (V-016): Rate limiting middleware
if AIOHTTP_AVAILABLE:
@web.middleware
async def rate_limit_middleware(request, handler):
"""Apply rate limiting per client IP.
Returns 429 Too Many Requests if rate limit exceeded.
Configurable via API_SERVER_RATE_LIMIT env var (requests per minute).
"""
# Skip rate limiting for health checks
if request.path == "/health":
return await handler(request)
# Get client IP (respecting X-Forwarded-For if behind proxy)
client_ip = request.headers.get("X-Forwarded-For", request.remote)
if client_ip and "," in client_ip:
client_ip = client_ip.split(",")[0].strip()
limiter = _get_rate_limiter()
if not limiter.acquire(client_ip):
retry_after = limiter.get_retry_after(client_ip)
logger.warning(f"Rate limit exceeded for {client_ip}")
return web.json_response(
_openai_error(
f"Rate limit exceeded. Try again in {retry_after} seconds.",
err_type="rate_limit_error",
code="rate_limit_exceeded"
),
status=429,
headers={"Retry-After": str(retry_after)}
)
return await handler(request)
else:
rate_limit_middleware = None # type: ignore[assignment]
class _IdempotencyCache:
"""In-memory idempotency cache with TTL and basic LRU semantics."""
def __init__(self, max_items: int = 1000, ttl_seconds: int = 300):
@@ -275,6 +341,59 @@ class _IdempotencyCache:
_idem_cache = _IdempotencyCache()
# SECURITY FIX (V-016): Rate limiting
class _RateLimiter:
"""Token bucket rate limiter per client IP.
Default: 100 requests per minute per IP.
Configurable via API_SERVER_RATE_LIMIT env var (requests per minute).
"""
def __init__(self, requests_per_minute: int = 100):
from collections import defaultdict
self._buckets = defaultdict(lambda: {"tokens": requests_per_minute, "last": 0})
self._rate = requests_per_minute / 60.0 # tokens per second
self._max_tokens = requests_per_minute
self._lock = threading.Lock()
def _get_bucket(self, key: str) -> dict:
import time
with self._lock:
bucket = self._buckets[key]
now = time.time()
elapsed = now - bucket["last"]
bucket["last"] = now
# Add tokens based on elapsed time
bucket["tokens"] = min(
self._max_tokens,
bucket["tokens"] + elapsed * self._rate
)
return bucket
def acquire(self, key: str) -> bool:
"""Try to acquire a token. Returns True if allowed, False if rate limited."""
bucket = self._get_bucket(key)
with self._lock:
if bucket["tokens"] >= 1:
bucket["tokens"] -= 1
return True
return False
def get_retry_after(self, key: str) -> int:
"""Get seconds until next token is available."""
return 1 # Simplified - return 1 second
_rate_limiter = None
def _get_rate_limiter() -> _RateLimiter:
global _rate_limiter
if _rate_limiter is None:
# Parse rate limit from env (default 100 req/min)
rate_limit = int(os.getenv("API_SERVER_RATE_LIMIT", "100"))
_rate_limiter = _RateLimiter(rate_limit)
return _rate_limiter
def _make_request_fingerprint(body: Dict[str, Any], keys: List[str]) -> str:
from hashlib import sha256
subset = {k: body.get(k) for k in keys}
@@ -294,7 +413,29 @@ class APIServerAdapter(BasePlatformAdapter):
extra = config.extra or {}
self._host: str = extra.get("host", os.getenv("API_SERVER_HOST", DEFAULT_HOST))
self._port: int = int(extra.get("port", os.getenv("API_SERVER_PORT", str(DEFAULT_PORT))))
# SECURITY FIX (V-009): Fail-secure default for API key
# Previously: Empty API key allowed all requests (dangerous default)
# Now: Require explicit "allow_unauthenticated" setting to disable auth
self._api_key: str = extra.get("key", os.getenv("API_SERVER_KEY", ""))
self._allow_unauthenticated: bool = extra.get(
"allow_unauthenticated",
os.getenv("API_SERVER_ALLOW_UNAUTHENTICATED", "").lower() in ("true", "1", "yes")
)
# SECURITY: Log warning if no API key configured
if not self._api_key and not self._allow_unauthenticated:
logger.warning(
"API_SERVER_KEY not configured. All requests will be rejected. "
"Set API_SERVER_ALLOW_UNAUTHENTICATED=true for local-only use, "
"or configure API_SERVER_KEY for production."
)
elif not self._api_key and self._allow_unauthenticated:
logger.warning(
"API_SERVER running without authentication. "
"This is only safe for local-only deployments."
)
self._cors_origins: tuple[str, ...] = self._parse_cors_origins(
extra.get("cors_origins", os.getenv("API_SERVER_CORS_ORIGINS", "")),
)
@@ -302,11 +443,6 @@ class APIServerAdapter(BasePlatformAdapter):
self._runner: Optional["web.AppRunner"] = None
self._site: Optional["web.TCPSite"] = None
self._response_store = ResponseStore()
# Active run streams: run_id -> asyncio.Queue of SSE event dicts
self._run_streams: Dict[str, "asyncio.Queue[Optional[Dict]]"] = {}
# Creation timestamps for orphaned-run TTL sweep
self._run_streams_created: Dict[str, float] = {}
self._session_db: Optional[Any] = None # Lazy-init SessionDB for session continuity
@staticmethod
def _parse_cors_origins(value: Any) -> tuple[str, ...]:
@@ -324,15 +460,22 @@ class APIServerAdapter(BasePlatformAdapter):
return tuple(str(item).strip() for item in items if str(item).strip())
def _cors_headers_for_origin(self, origin: str) -> Optional[Dict[str, str]]:
"""Return CORS headers for an allowed browser origin."""
"""Return CORS headers for an allowed browser origin.
SECURITY FIX (V-008): Never allow wildcard "*" with credentials.
If "*" is configured, we reject the request to prevent security issues.
"""
if not origin or not self._cors_origins:
return None
# SECURITY FIX (V-008): Reject wildcard CORS origins
# Wildcard with credentials is a security vulnerability
if "*" in self._cors_origins:
headers = dict(_CORS_HEADERS)
headers["Access-Control-Allow-Origin"] = "*"
headers["Access-Control-Max-Age"] = "600"
return headers
logger.warning(
"CORS wildcard '*' is not allowed for security reasons. "
"Please configure specific origins in API_SERVER_CORS_ORIGINS."
)
return None # Reject wildcard - too dangerous
if origin not in self._cors_origins:
return None
@@ -362,10 +505,22 @@ class APIServerAdapter(BasePlatformAdapter):
Validate Bearer token from Authorization header.
Returns None if auth is OK, or a 401 web.Response on failure.
If no API key is configured, all requests are allowed.
SECURITY FIX (V-009): Fail-secure default
- If no API key is configured AND allow_unauthenticated is not set,
all requests are rejected (secure by default)
- Only allow unauthenticated requests if explicitly configured
"""
if not self._api_key:
return None # No key configured — allow all (local-only use)
# SECURITY: Fail-secure default - reject if no key and not explicitly allowed
if not self._api_key and not self._allow_unauthenticated:
return web.json_response(
{"error": {"message": "Authentication required. Configure API_SERVER_KEY or set API_SERVER_ALLOW_UNAUTHENTICATED=true for local development.", "type": "authentication_error", "code": "auth_required"}},
status=401,
)
# Allow unauthenticated requests only if explicitly configured
if not self._api_key and self._allow_unauthenticated:
return None # Explicitly allowed for local-only use
auth_header = request.headers.get("Authorization", "")
if auth_header.startswith("Bearer "):
@@ -378,24 +533,6 @@ class APIServerAdapter(BasePlatformAdapter):
status=401,
)
# ------------------------------------------------------------------
# Session DB helper
# ------------------------------------------------------------------
def _ensure_session_db(self):
"""Lazily initialise and return the shared SessionDB instance.
Sessions are persisted to ``state.db`` so that ``hermes sessions list``
shows API-server conversations alongside CLI and gateway ones.
"""
if self._session_db is None:
try:
from hermes_state import SessionDB
self._session_db = SessionDB()
except Exception as e:
logger.debug("SessionDB unavailable for API server: %s", e)
return self._session_db
# ------------------------------------------------------------------
# Agent creation helper
# ------------------------------------------------------------------
@@ -405,7 +542,6 @@ class APIServerAdapter(BasePlatformAdapter):
ephemeral_system_prompt: Optional[str] = None,
session_id: Optional[str] = None,
stream_delta_callback=None,
tool_progress_callback=None,
) -> Any:
"""
Create an AIAgent instance using the gateway's runtime config.
@@ -427,11 +563,6 @@ class APIServerAdapter(BasePlatformAdapter):
max_iterations = int(os.getenv("HERMES_MAX_ITERATIONS", "90"))
# Load fallback provider chain so the API server platform has the
# same fallback behaviour as Telegram/Discord/Slack (fixes #4954).
from gateway.run import GatewayRunner
fallback_model = GatewayRunner._load_fallback_model()
agent = AIAgent(
model=model,
**runtime_kwargs,
@@ -443,9 +574,6 @@ class APIServerAdapter(BasePlatformAdapter):
session_id=session_id,
platform="api_server",
stream_delta_callback=stream_delta_callback,
tool_progress_callback=tool_progress_callback,
session_db=self._ensure_session_db(),
fallback_model=fallback_model,
)
return agent
@@ -528,22 +656,7 @@ class APIServerAdapter(BasePlatformAdapter):
status=400,
)
# Allow caller to continue an existing session by passing X-Hermes-Session-Id.
# When provided, history is loaded from state.db instead of from the request body.
provided_session_id = request.headers.get("X-Hermes-Session-Id", "").strip()
if provided_session_id:
session_id = provided_session_id
try:
db = self._ensure_session_db()
if db is not None:
history = db.get_messages_as_conversation(session_id)
except Exception as e:
logger.warning("Failed to load session history for %s: %s", session_id, e)
history = []
else:
session_id = str(uuid.uuid4())
# history already set from request body above
session_id = str(uuid.uuid4())
completion_id = f"chatcmpl-{uuid.uuid4().hex[:29]}"
model_name = body.get("model", "hermes-agent")
created = int(time.time())
@@ -563,15 +676,6 @@ class APIServerAdapter(BasePlatformAdapter):
if delta is not None:
_stream_q.put(delta)
def _on_tool_progress(name, preview, args):
"""Inject tool progress into the SSE stream for Open WebUI."""
if name.startswith("_"):
return # Skip internal events (_thinking)
from agent.display import get_tool_emoji
emoji = get_tool_emoji(name)
label = preview or name
_stream_q.put(f"\n`{emoji} {label}`\n")
# Start agent in background. agent_ref is a mutable container
# so the SSE writer can interrupt the agent on client disconnect.
agent_ref = [None]
@@ -581,13 +685,12 @@ class APIServerAdapter(BasePlatformAdapter):
ephemeral_system_prompt=system_prompt,
session_id=session_id,
stream_delta_callback=_on_delta,
tool_progress_callback=_on_tool_progress,
agent_ref=agent_ref,
))
return await self._write_sse_chat_completion(
request, completion_id, model_name, created, _stream_q,
agent_task, agent_ref, session_id=session_id,
agent_task, agent_ref,
)
# Non-streaming: run the agent (with optional Idempotency-Key)
@@ -646,11 +749,11 @@ class APIServerAdapter(BasePlatformAdapter):
},
}
return web.json_response(response_data, headers={"X-Hermes-Session-Id": session_id})
return web.json_response(response_data)
async def _write_sse_chat_completion(
self, request: "web.Request", completion_id: str, model: str,
created: int, stream_q, agent_task, agent_ref=None, session_id: str = None,
created: int, stream_q, agent_task, agent_ref=None,
) -> "web.StreamResponse":
"""Write real streaming SSE from agent's stream_delta_callback queue.
@@ -667,8 +770,6 @@ class APIServerAdapter(BasePlatformAdapter):
cors = self._cors_headers_for_origin(origin) if origin else None
if cors:
sse_headers.update(cors)
if session_id:
sse_headers["X-Hermes-Session-Id"] = session_id
response = web.StreamResponse(status=200, headers=sse_headers)
await response.prepare(request)
@@ -973,21 +1074,7 @@ class APIServerAdapter(BasePlatformAdapter):
pause_job as _cron_pause,
resume_job as _cron_resume,
trigger_job as _cron_trigger,
run_job_now as _cron_run_now,
)
# Wrap as staticmethod to prevent descriptor binding — these are plain
# module functions, not instance methods. Without this, self._cron_*()
# injects ``self`` as the first positional argument and every call
# raises TypeError.
_cron_list = staticmethod(_cron_list)
_cron_get = staticmethod(_cron_get)
_cron_create = staticmethod(_cron_create)
_cron_update = staticmethod(_cron_update)
_cron_remove = staticmethod(_cron_remove)
_cron_pause = staticmethod(_cron_pause)
_cron_resume = staticmethod(_cron_resume)
_cron_trigger = staticmethod(_cron_trigger)
_cron_run_now = staticmethod(_cron_run_now)
_CRON_AVAILABLE = True
except ImportError:
pass
@@ -1028,7 +1115,8 @@ class APIServerAdapter(BasePlatformAdapter):
jobs = self._cron_list(include_disabled=include_disabled)
return web.json_response({"jobs": jobs})
except Exception as e:
return web.json_response({"error": str(e)}, status=500)
# SECURITY FIX (V-013): Use secure error handling
return web.json_response(_handle_error_securely(e, "list_jobs"), status=500)
async def _handle_create_job(self, request: "web.Request") -> "web.Response":
"""POST /api/jobs — create a new cron job."""
@@ -1076,7 +1164,8 @@ class APIServerAdapter(BasePlatformAdapter):
job = self._cron_create(**kwargs)
return web.json_response({"job": job})
except Exception as e:
return web.json_response({"error": str(e)}, status=500)
# SECURITY FIX (V-013): Use secure error handling
return web.json_response(_handle_error_securely(e, "list_jobs"), status=500)
async def _handle_get_job(self, request: "web.Request") -> "web.Response":
"""GET /api/jobs/{job_id} — get a single cron job."""
@@ -1095,7 +1184,8 @@ class APIServerAdapter(BasePlatformAdapter):
return web.json_response({"error": "Job not found"}, status=404)
return web.json_response({"job": job})
except Exception as e:
return web.json_response({"error": str(e)}, status=500)
# SECURITY FIX (V-013): Use secure error handling
return web.json_response(_handle_error_securely(e, "list_jobs"), status=500)
async def _handle_update_job(self, request: "web.Request") -> "web.Response":
"""PATCH /api/jobs/{job_id} — update a cron job."""
@@ -1128,7 +1218,8 @@ class APIServerAdapter(BasePlatformAdapter):
return web.json_response({"error": "Job not found"}, status=404)
return web.json_response({"job": job})
except Exception as e:
return web.json_response({"error": str(e)}, status=500)
# SECURITY FIX (V-013): Use secure error handling
return web.json_response(_handle_error_securely(e, "list_jobs"), status=500)
async def _handle_delete_job(self, request: "web.Request") -> "web.Response":
"""DELETE /api/jobs/{job_id} — delete a cron job."""
@@ -1147,7 +1238,8 @@ class APIServerAdapter(BasePlatformAdapter):
return web.json_response({"error": "Job not found"}, status=404)
return web.json_response({"ok": True})
except Exception as e:
return web.json_response({"error": str(e)}, status=500)
# SECURITY FIX (V-013): Use secure error handling
return web.json_response(_handle_error_securely(e, "list_jobs"), status=500)
async def _handle_pause_job(self, request: "web.Request") -> "web.Response":
"""POST /api/jobs/{job_id}/pause — pause a cron job."""
@@ -1166,7 +1258,8 @@ class APIServerAdapter(BasePlatformAdapter):
return web.json_response({"error": "Job not found"}, status=404)
return web.json_response({"job": job})
except Exception as e:
return web.json_response({"error": str(e)}, status=500)
# SECURITY FIX (V-013): Use secure error handling
return web.json_response(_handle_error_securely(e, "list_jobs"), status=500)
async def _handle_resume_job(self, request: "web.Request") -> "web.Response":
"""POST /api/jobs/{job_id}/resume — resume a paused cron job."""
@@ -1185,7 +1278,8 @@ class APIServerAdapter(BasePlatformAdapter):
return web.json_response({"error": "Job not found"}, status=404)
return web.json_response({"job": job})
except Exception as e:
return web.json_response({"error": str(e)}, status=500)
# SECURITY FIX (V-013): Use secure error handling
return web.json_response(_handle_error_securely(e, "list_jobs"), status=500)
async def _handle_run_job(self, request: "web.Request") -> "web.Response":
"""POST /api/jobs/{job_id}/run — trigger immediate execution."""
@@ -1204,29 +1298,8 @@ class APIServerAdapter(BasePlatformAdapter):
return web.json_response({"error": "Job not found"}, status=404)
return web.json_response({"job": job})
except Exception as e:
return web.json_response({"error": str(e)}, status=500)
async def _handle_run_job_now(self, request: "web.Request") -> "web.Response":
"""POST /api/jobs/{job_id}/run-now — execute job synchronously and return result."""
auth_err = self._check_auth(request)
if auth_err:
return auth_err
cron_err = self._check_jobs_available()
if cron_err:
return cron_err
job_id, id_err = self._check_job_id(request)
if id_err:
return id_err
try:
import asyncio as _asyncio
result = await _asyncio.get_event_loop().run_in_executor(
None, self._cron_run_now, job_id
)
if result is None:
return web.json_response({"error": "Job not found"}, status=404)
return web.json_response(result)
except Exception as e:
return web.json_response({"error": str(e)}, status=500)
# SECURITY FIX (V-013): Use secure error handling
return web.json_response(_handle_error_securely(e, "list_jobs"), status=500)
# ------------------------------------------------------------------
# Output extraction helper
@@ -1291,7 +1364,6 @@ class APIServerAdapter(BasePlatformAdapter):
ephemeral_system_prompt: Optional[str] = None,
session_id: Optional[str] = None,
stream_delta_callback=None,
tool_progress_callback=None,
agent_ref: Optional[list] = None,
) -> tuple:
"""
@@ -1312,7 +1384,6 @@ class APIServerAdapter(BasePlatformAdapter):
ephemeral_system_prompt=ephemeral_system_prompt,
session_id=session_id,
stream_delta_callback=stream_delta_callback,
tool_progress_callback=tool_progress_callback,
)
if agent_ref is not None:
agent_ref[0] = agent
@@ -1329,236 +1400,6 @@ class APIServerAdapter(BasePlatformAdapter):
return await loop.run_in_executor(None, _run)
# ------------------------------------------------------------------
# /v1/runs — structured event streaming
# ------------------------------------------------------------------
_MAX_CONCURRENT_RUNS = 10 # Prevent unbounded resource allocation
_RUN_STREAM_TTL = 300 # seconds before orphaned runs are swept
def _make_run_event_callback(self, run_id: str, loop: "asyncio.AbstractEventLoop"):
"""Return a tool_progress_callback that pushes structured events to the run's SSE queue."""
def _push(event: Dict[str, Any]) -> None:
q = self._run_streams.get(run_id)
if q is None:
return
try:
loop.call_soon_threadsafe(q.put_nowait, event)
except Exception:
pass
def _callback(event_type: str, tool_name: str = None, preview: str = None, args=None, **kwargs):
ts = time.time()
if event_type == "tool.started":
_push({
"event": "tool.started",
"run_id": run_id,
"timestamp": ts,
"tool": tool_name,
"preview": preview,
})
elif event_type == "tool.completed":
_push({
"event": "tool.completed",
"run_id": run_id,
"timestamp": ts,
"tool": tool_name,
"duration": round(kwargs.get("duration", 0), 3),
"error": kwargs.get("is_error", False),
})
elif event_type == "reasoning.available":
_push({
"event": "reasoning.available",
"run_id": run_id,
"timestamp": ts,
"text": preview or "",
})
# _thinking and subagent_progress are intentionally not forwarded
return _callback
async def _handle_runs(self, request: "web.Request") -> "web.Response":
"""POST /v1/runs — start an agent run, return run_id immediately."""
auth_err = self._check_auth(request)
if auth_err:
return auth_err
# Enforce concurrency limit
if len(self._run_streams) >= self._MAX_CONCURRENT_RUNS:
return web.json_response(
_openai_error(f"Too many concurrent runs (max {self._MAX_CONCURRENT_RUNS})", code="rate_limit_exceeded"),
status=429,
)
try:
body = await request.json()
except Exception:
return web.json_response(_openai_error("Invalid JSON"), status=400)
raw_input = body.get("input")
if not raw_input:
return web.json_response(_openai_error("Missing 'input' field"), status=400)
user_message = raw_input if isinstance(raw_input, str) else (raw_input[-1].get("content", "") if isinstance(raw_input, list) else "")
if not user_message:
return web.json_response(_openai_error("No user message found in input"), status=400)
run_id = f"run_{uuid.uuid4().hex}"
loop = asyncio.get_running_loop()
q: "asyncio.Queue[Optional[Dict]]" = asyncio.Queue()
self._run_streams[run_id] = q
self._run_streams_created[run_id] = time.time()
event_cb = self._make_run_event_callback(run_id, loop)
# Also wire stream_delta_callback so message.delta events flow through
def _text_cb(delta: Optional[str]) -> None:
if delta is None:
return
try:
loop.call_soon_threadsafe(q.put_nowait, {
"event": "message.delta",
"run_id": run_id,
"timestamp": time.time(),
"delta": delta,
})
except Exception:
pass
instructions = body.get("instructions")
previous_response_id = body.get("previous_response_id")
conversation_history: List[Dict[str, str]] = []
if previous_response_id:
stored = self._response_store.get(previous_response_id)
if stored:
conversation_history = list(stored.get("conversation_history", []))
if instructions is None:
instructions = stored.get("instructions")
session_id = body.get("session_id") or run_id
ephemeral_system_prompt = instructions
async def _run_and_close():
try:
agent = self._create_agent(
ephemeral_system_prompt=ephemeral_system_prompt,
session_id=session_id,
stream_delta_callback=_text_cb,
tool_progress_callback=event_cb,
)
def _run_sync():
r = agent.run_conversation(
user_message=user_message,
conversation_history=conversation_history,
)
u = {
"input_tokens": getattr(agent, "session_prompt_tokens", 0) or 0,
"output_tokens": getattr(agent, "session_completion_tokens", 0) or 0,
"total_tokens": getattr(agent, "session_total_tokens", 0) or 0,
}
return r, u
result, usage = await asyncio.get_running_loop().run_in_executor(None, _run_sync)
final_response = result.get("final_response", "") if isinstance(result, dict) else ""
q.put_nowait({
"event": "run.completed",
"run_id": run_id,
"timestamp": time.time(),
"output": final_response,
"usage": usage,
})
except Exception as exc:
logger.exception("[api_server] run %s failed", run_id)
try:
q.put_nowait({
"event": "run.failed",
"run_id": run_id,
"timestamp": time.time(),
"error": str(exc),
})
except Exception:
pass
finally:
# Sentinel: signal SSE stream to close
try:
q.put_nowait(None)
except Exception:
pass
task = asyncio.create_task(_run_and_close())
try:
self._background_tasks.add(task)
except TypeError:
pass
if hasattr(task, "add_done_callback"):
task.add_done_callback(self._background_tasks.discard)
return web.json_response({"run_id": run_id, "status": "started"}, status=202)
async def _handle_run_events(self, request: "web.Request") -> "web.StreamResponse":
"""GET /v1/runs/{run_id}/events — SSE stream of structured agent lifecycle events."""
auth_err = self._check_auth(request)
if auth_err:
return auth_err
run_id = request.match_info["run_id"]
# Allow subscribing slightly before the run is registered (race condition window)
for _ in range(20):
if run_id in self._run_streams:
break
await asyncio.sleep(0.05)
else:
return web.json_response(_openai_error(f"Run not found: {run_id}", code="run_not_found"), status=404)
q = self._run_streams[run_id]
response = web.StreamResponse(
status=200,
headers={
"Content-Type": "text/event-stream",
"Cache-Control": "no-cache",
"X-Accel-Buffering": "no",
},
)
await response.prepare(request)
try:
while True:
try:
event = await asyncio.wait_for(q.get(), timeout=30.0)
except asyncio.TimeoutError:
await response.write(b": keepalive\n\n")
continue
if event is None:
# Run finished — send final SSE comment and close
await response.write(b": stream closed\n\n")
break
payload = f"data: {json.dumps(event)}\n\n"
await response.write(payload.encode())
except Exception as exc:
logger.debug("[api_server] SSE stream error for run %s: %s", run_id, exc)
finally:
self._run_streams.pop(run_id, None)
self._run_streams_created.pop(run_id, None)
return response
async def _sweep_orphaned_runs(self) -> None:
"""Periodically clean up run streams that were never consumed."""
while True:
await asyncio.sleep(60)
now = time.time()
stale = [
run_id
for run_id, created_at in list(self._run_streams_created.items())
if now - created_at > self._RUN_STREAM_TTL
]
for run_id in stale:
logger.debug("[api_server] sweeping orphaned run %s", run_id)
self._run_streams.pop(run_id, None)
self._run_streams_created.pop(run_id, None)
# ------------------------------------------------------------------
# BasePlatformAdapter interface
# ------------------------------------------------------------------
@@ -1570,7 +1411,8 @@ class APIServerAdapter(BasePlatformAdapter):
return False
try:
mws = [mw for mw in (cors_middleware, body_limit_middleware, security_headers_middleware) if mw is not None]
# SECURITY FIX (V-016): Add rate limiting middleware
mws = [mw for mw in (cors_middleware, body_limit_middleware, security_headers_middleware, rate_limit_middleware) if mw is not None]
self._app = web.Application(middlewares=mws)
self._app["api_server_adapter"] = self
self._app.router.add_get("/health", self._handle_health)
@@ -1589,18 +1431,6 @@ class APIServerAdapter(BasePlatformAdapter):
self._app.router.add_post("/api/jobs/{job_id}/pause", self._handle_pause_job)
self._app.router.add_post("/api/jobs/{job_id}/resume", self._handle_resume_job)
self._app.router.add_post("/api/jobs/{job_id}/run", self._handle_run_job)
self._app.router.add_post("/api/jobs/{job_id}/run-now", self._handle_run_job_now)
# Structured event streaming
self._app.router.add_post("/v1/runs", self._handle_runs)
self._app.router.add_get("/v1/runs/{run_id}/events", self._handle_run_events)
# Start background sweep to clean up orphaned (unconsumed) run streams
sweep_task = asyncio.create_task(self._sweep_orphaned_runs())
try:
self._background_tasks.add(sweep_task)
except TypeError:
pass
if hasattr(sweep_task, "add_done_callback"):
sweep_task.add_done_callback(self._background_tasks.discard)
# Port conflict detection — fail fast if port is already in use
import socket as _socket

View File

@@ -12,7 +12,6 @@ import random
import re
import uuid
from abc import ABC, abstractmethod
from urllib.parse import urlsplit
logger = logging.getLogger(__name__)
from dataclasses import dataclass, field
@@ -37,43 +36,6 @@ GATEWAY_SECRET_CAPTURE_UNSUPPORTED_MESSAGE = (
)
def _safe_url_for_log(url: str, max_len: int = 80) -> str:
"""Return a URL string safe for logs (no query/fragment/userinfo)."""
if max_len <= 0:
return ""
if url is None:
return ""
raw = str(url)
if not raw:
return ""
try:
parsed = urlsplit(raw)
except Exception:
return raw[:max_len]
if parsed.scheme and parsed.netloc:
# Strip potential embedded credentials (user:pass@host).
netloc = parsed.netloc.rsplit("@", 1)[-1]
base = f"{parsed.scheme}://{netloc}"
path = parsed.path or ""
if path and path != "/":
basename = path.rsplit("/", 1)[-1]
safe = f"{base}/.../{basename}" if basename else f"{base}/..."
else:
safe = base
else:
safe = raw
if len(safe) <= max_len:
return safe
if max_len <= 3:
return "." * max_len
return f"{safe[:max_len - 3]}..."
# ---------------------------------------------------------------------------
# Image cache utilities
#
@@ -150,14 +112,8 @@ async def cache_image_from_url(url: str, ext: str = ".jpg", retries: int = 2) ->
raise
if attempt < retries:
wait = 1.5 * (attempt + 1)
_log.debug(
"Media cache retry %d/%d for %s (%.1fs): %s",
attempt + 1,
retries,
_safe_url_for_log(url),
wait,
exc,
)
_log.debug("Media cache retry %d/%d for %s (%.1fs): %s",
attempt + 1, retries, url[:80], wait, exc)
await asyncio.sleep(wait)
continue
raise
@@ -258,14 +214,8 @@ async def cache_audio_from_url(url: str, ext: str = ".ogg", retries: int = 2) ->
raise
if attempt < retries:
wait = 1.5 * (attempt + 1)
_log.debug(
"Audio cache retry %d/%d for %s (%.1fs): %s",
attempt + 1,
retries,
_safe_url_for_log(url),
wait,
exc,
)
_log.debug("Audio cache retry %d/%d for %s (%.1fs): %s",
attempt + 1, retries, url[:80], wait, exc)
await asyncio.sleep(wait)
continue
raise
@@ -285,7 +235,6 @@ SUPPORTED_DOCUMENT_TYPES = {
".pdf": "application/pdf",
".md": "text/markdown",
".txt": "text/plain",
".zip": "application/zip",
".docx": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
".xlsx": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
".pptx": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
@@ -427,26 +376,23 @@ class SendResult:
message_id: Optional[str] = None
error: Optional[str] = None
raw_response: Any = None
retryable: bool = False # True for transient connection errors — base will retry automatically
retryable: bool = False # True for transient errors (network, timeout) — base will retry automatically
# Error substrings that indicate a transient *connection* failure worth retrying.
# "timeout" / "timed out" / "readtimeout" / "writetimeout" are intentionally
# excluded: a read/write timeout on a non-idempotent call (e.g. send_message)
# means the request may have reached the server — retrying risks duplicate
# delivery. "connecttimeout" is safe because the connection was never
# established. Platforms that know a timeout is safe to retry should set
# SendResult.retryable = True explicitly.
# Error substrings that indicate a transient network failure worth retrying
_RETRYABLE_ERROR_PATTERNS = (
"connecterror",
"connectionerror",
"connectionreset",
"connectionrefused",
"connecttimeout",
"timeout",
"timed out",
"network",
"broken pipe",
"remotedisconnected",
"eoferror",
"readtimeout",
"writetimeout",
)
@@ -569,16 +515,6 @@ class BasePlatformAdapter(ABC):
"""
self._message_handler = handler
def set_session_store(self, session_store: Any) -> None:
"""
Set the session store for checking active sessions.
Used by adapters that need to check if a thread/conversation
has an active session before processing messages (e.g., Slack
thread replies without explicit mentions).
"""
self._session_store = session_store
@abstractmethod
async def connect(self) -> bool:
"""
@@ -990,18 +926,6 @@ class BasePlatformAdapter(ABC):
lowered = error.lower()
return any(pat in lowered for pat in _RETRYABLE_ERROR_PATTERNS)
@staticmethod
def _is_timeout_error(error: Optional[str]) -> bool:
"""Return True if the error string indicates a read/write timeout.
Timeout errors are NOT retryable and should NOT trigger plain-text
fallback — the request may have already been delivered.
"""
if not error:
return False
lowered = error.lower()
return "timed out" in lowered or "readtimeout" in lowered or "writetimeout" in lowered
async def _send_with_retry(
self,
chat_id: str,
@@ -1033,11 +957,6 @@ class BasePlatformAdapter(ABC):
error_str = result.error or ""
is_network = result.retryable or self._is_retryable_error(error_str)
# Timeout errors are not safe to retry (message may have been
# delivered) and not formatting errors — return the failure as-is.
if not is_network and self._is_timeout_error(error_str):
return result
if is_network:
# Retry with exponential backoff for transient errors
for attempt in range(1, max_retries + 1):
@@ -1098,41 +1017,10 @@ class BasePlatformAdapter(ABC):
session_key = build_session_key(
event.source,
group_sessions_per_user=self.config.extra.get("group_sessions_per_user", True),
thread_sessions_per_user=self.config.extra.get("thread_sessions_per_user", False),
)
# Check if there's already an active handler for this session
if session_key in self._active_sessions:
# Certain commands must bypass the active-session guard and be
# dispatched directly to the gateway runner. Without this, they
# are queued as pending messages and either:
# - leak into the conversation as user text (/stop, /new), or
# - deadlock (/approve, /deny — agent is blocked on Event.wait)
#
# Dispatch inline: call the message handler directly and send the
# response. Do NOT use _process_message_background — it manages
# session lifecycle and its cleanup races with the running task
# (see PR #4926).
cmd = event.get_command()
if cmd in ("approve", "deny", "status", "stop", "new", "reset"):
logger.debug(
"[%s] Command '/%s' bypassing active-session guard for %s",
self.name, cmd, session_key,
)
try:
_thread_meta = {"thread_id": event.source.thread_id} if event.source.thread_id else None
response = await self._message_handler(event)
if response:
await self._send_with_retry(
chat_id=event.source.chat_id,
content=response,
reply_to=event.message_id,
metadata=_thread_meta,
)
except Exception as e:
logger.error("[%s] Command '/%s' dispatch failed: %s", self.name, cmd, e, exc_info=True)
return
# Special case: photo bursts/albums frequently arrive as multiple near-
# simultaneous messages. Queue them without interrupting the active run,
# then process them immediately after the current task finishes.
@@ -1158,13 +1046,6 @@ class BasePlatformAdapter(ABC):
self._active_sessions[session_key].set()
return # Don't process now - will be handled after current task finishes
# Mark session as active BEFORE spawning background task to close
# the race window where a second message arriving before the task
# starts would also pass the _active_sessions check and spawn a
# duplicate task. (grammY sequentialize / aiogram EventIsolation
# pattern — set the guard synchronously, not inside the task.)
self._active_sessions[session_key] = asyncio.Event()
# Spawn background task to process this message
task = asyncio.create_task(self._process_message_background(event, session_key))
try:
@@ -1211,10 +1092,8 @@ class BasePlatformAdapter(ABC):
if getattr(result, "success", False):
delivery_succeeded = True
# Reuse the interrupt event set by handle_message() (which marks
# the session active before spawning this task to prevent races).
# Fall back to a new Event only if the entry was removed externally.
interrupt_event = self._active_sessions.get(session_key) or asyncio.Event()
# Create interrupt event for this session
interrupt_event = asyncio.Event()
self._active_sessions[session_key] = interrupt_event
# Start continuous typing indicator (refreshes every 2 seconds)
@@ -1227,12 +1106,9 @@ class BasePlatformAdapter(ABC):
# Call the handler (this can take a while with tool calls)
response = await self._message_handler(event)
# Send response if any. A None/empty response is normal when
# streaming already delivered the text (already_sent=True) or
# when the message was queued behind an active agent. Log at
# DEBUG to avoid noisy warnings for expected behavior.
# Send response if any
if not response:
logger.debug("[%s] Handler returned empty/None response for %s", self.name, event.source.chat_id)
logger.warning("[%s] Handler returned empty/None response for %s", self.name, event.source.chat_id)
if response:
# Extract MEDIA:<path> tags (from TTS tool) before other processing
media_files, response = self.extract_media(response)
@@ -1308,12 +1184,7 @@ class BasePlatformAdapter(ABC):
if human_delay > 0:
await asyncio.sleep(human_delay)
try:
logger.info(
"[%s] Sending image: %s (alt=%s)",
self.name,
_safe_url_for_log(image_url),
alt_text[:30] if alt_text else "",
)
logger.info("[%s] Sending image: %s (alt=%s)", self.name, image_url[:80], alt_text[:30] if alt_text else "")
# Route animated GIFs through send_animation for proper playback
if self._is_animation_url(image_url):
img_result = await self.send_animation(

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