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genomes/hermes-agent-GENOME.md
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genomes/hermes-agent-GENOME.md
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# GENOME.md — hermes-agent
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*Generated: 2026-04-29 | Codebase Genome Analysis (Issue #668)*
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*Analyzed commit: upstream main (Hermes Agent v0.7.0)*
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---
|
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|
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## Project Overview
|
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|
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**Hermes Agent** is a sovereign, self-improving AI agent framework built by Nous Research. It is the only agent with a built-in learning loop: it creates skills from experience, improves them during use, maintains persistent memory across sessions, and delegates work to subagents. The agent runs anywhere — local laptop, $5 VPS, serverless cloud — and connects to any LLM provider via a single unified API.
|
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|
||||
### Core Value Proposition
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||||
|
||||
| Aspect | Detail |
|
||||
|--------|--------|
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||||
| **Problem** | AI agents are stateless, non-learning, platform-locked |
|
||||
| **Solution** | Built-in memory, skill synthesis from trajectories, cross-session recall, multi-provider model routing |
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| **Result** | An agent that accumulates knowledge, builds reusable capabilities, and operates across platforms without vendor lock-in |
|
||||
|
||||
### Key Metrics
|
||||
|
||||
- **Python source files**: ~810 modules
|
||||
- **Test files**: 453 pytest modules
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||||
- **Approximate LOC**: ~356,000
|
||||
- **Entry points**: 6+ (CLI, TUI, gateway, cron, MCP server, RL CLI)
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- **Supported platforms**: CLI, Telegram, Discord, Slack, WhatsApp, Signal, MCP
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|
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### Repository Identity
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||||
|
||||
- **Upstream**: `https://github.com/NousResearch/hermes-agent`
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||||
- **Fork in timmy-home context**: Analyzed as external dependency; genome artifact lives in `timmy-home/genomes/`
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||||
- **License**: MIT
|
||||
- **Python requirement**: >= 3.11
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- **Version**: 0.7.0 (at time of analysis)
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|
||||
---
|
||||
|
||||
## Architecture
|
||||
|
||||
```mermaid
|
||||
graph TD
|
||||
subgraph "User Interfaces"
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CLI[hermes_cli/main.py<br/>TUI (prompt_toolkit)]
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CORE[run_agent.py<br/>AIAgent orchestrator]
|
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GATEWAY[gateway/<br/>multi-platform gateway]
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MCP[mcp_serve.py<br/>MCP server]
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RL[rl_cli.py<br/>RL training CLI]
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end
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|
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subgraph "Core Agent (AIAgent)"
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AGENT[AIAgent class]
|
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SANITIZER[agent/input_sanitizer.py<br/>jailbreak + risk scoring]
|
||||
MEMORY[agent/memory_manager.py<br/>MemoryProvider orchestration]
|
||||
PROMPT[agent/prompt_builder.py<br/>system prompt assembly]
|
||||
METADATA[agent/model_metadata.py<br/>model + token estimation]
|
||||
COMPRESS[agent/context_compressor.py<br/>window management]
|
||||
DISPLAY[agent/display.py<br/>TUI spinners + formatting]
|
||||
TRAJECTORY[agent/trajectory.py<br/>compression + think blocks]
|
||||
INSIGHTS[agent/insights.py<br/>session analytics]
|
||||
USAGE[agent/usage_pricing.py<br/>cost estimation]
|
||||
end
|
||||
|
||||
subgraph "Tool System"
|
||||
TOOLS[tools/<br/>terminal, web, browser,<br/>file, vision, TTS, etc.]
|
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TOOLSETS[toolsets.py<br/>tool grouping + aliases]
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HANDLE[model_tools.py<br/>tool call handling]
|
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end
|
||||
|
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subgraph "Skill System"
|
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SKILLS[skills/<br/>skill index + metadata]
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SKILL_UTIL[agent/skill_utils.py<br/>discovery + matching]
|
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SKILL_CMD[agent/skill_commands.py<br/>skill lifecycle]
|
||||
end
|
||||
|
||||
subgraph "Cron + Scheduling"
|
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CRON[cron/scheduler.py<br/>tick-based executor]
|
||||
CRON_JOBS[cron/jobs.py<br/>job definitions]
|
||||
DEPLOY_GUARD[Deploy sync guard<br/>interface validation]
|
||||
end
|
||||
|
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subgraph "Gateway Layer"
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SESSION[gateway/session.py<br/>SessionStore + reset policy]
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DELIVERY[gateway/delivery.py<br/>routing + truncation]
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GATEWAY_CFG[gateway/config.py<br/>platform config]
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PLATFORMS[Telegram, Discord,<br/>Slack, WhatsApp, Signal]
|
||||
end
|
||||
|
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subgraph "State + Memory"
|
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STATE[hermes_state.py<br/>SQLite + FTS5]
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BUILTIN_MEM[agent/builtin_memory_provider.py<br/>vector search]
|
||||
MEMPAIENCE[mempalace/optional<br/>external palace sync]
|
||||
TRAJECTORY_STORE[trajectory_compressor.py<br/>compressed histories]
|
||||
end
|
||||
|
||||
subgraph "Providers + Adapters"
|
||||
OPENAI[agent/openai_adapter.py]
|
||||
ANTHROPIC[agent/anthropic_adapter.py]
|
||||
GEMINI[agent/gemini_adapter.py]
|
||||
LOCAL[Local Ollama / vLLM]
|
||||
end
|
||||
|
||||
CLI --> CORE
|
||||
GATEWAY --> AGENT
|
||||
MCP --> AGENT
|
||||
RL --> AGENT
|
||||
|
||||
AGENT --> SANITIZER
|
||||
AGENT --> MEMORY
|
||||
AGENT --> PROMPT
|
||||
AGENT --> METADATA
|
||||
AGENT --> COMPRESS
|
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AGENT --> DISPLAY
|
||||
AGENT --> TRAJECTORY
|
||||
AGENT --> INSIGHTS
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||||
AGENT --> USAGE
|
||||
|
||||
AGENT --> TOOLS
|
||||
TOOLS --> HANDLE
|
||||
TOOLS --> TOOLSETS
|
||||
|
||||
AGENT --> SKILLS
|
||||
SKILLS --> SKILL_UTIL
|
||||
SKILLS --> SKILL_CMD
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||||
|
||||
AGENT --> CRON
|
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CRON --> CRON_JOBS
|
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CRON --> DEPLOY_GUARD
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|
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GATEWAY --> SESSION
|
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GATEWAY --> DELIVERY
|
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GATEWAY --> PLATFORMS
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AGENT --> STATE
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AGENT --> BUILTIN_MEM
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MEMORY --> BUILTIN_MEM
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MEMORY --> MEMPAIENCE
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|
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AGENT --> OPENAI
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||||
AGENT --> ANTHROPIC
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AGENT --> GEMINI
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AGENT --> LOCAL
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```
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|
||||
---
|
||||
|
||||
## Entry Points
|
||||
|
||||
### Primary: AIAgent Orhchestrator
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||||
|
||||
**File**: `run_agent.py`
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|
||||
The `AIAgent` class is the central conversation loop. Key responsibilities:
|
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- Tool-calling iteration loop (default 90 iterations per turn)
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- Model provider abstraction (OpenAI, Anthropic, Google Gemini, local endpoints)
|
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- Message history management with token limits
|
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- Context compression and memory prefetching
|
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- Session persistence to SQLite state DB
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||||
- Trajectory saving for skill synthesis
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||||
|
||||
**Usage**:
|
||||
```python
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||||
from run_agent import AIAgent
|
||||
agent = AIAgent(
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base_url="http://localhost:30000/v1",
|
||||
model="claude-opus-4",
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max_iterations=90
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||||
)
|
||||
response = agent.run_conversation("What's the weather in Tokyo?")
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||||
```
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||||
|
||||
### CLI Entry: hermes
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||||
|
||||
**File**: `cli.py`
|
||||
|
||||
Minimal entry point that delegates to `hermes_cli.main:main()`. Supports:
|
||||
- Interactive TUI mode (default)
|
||||
- Single-query mode (`-q "question"`)
|
||||
- Toolset selection (`--toolsets web,terminal`)
|
||||
- Skill selection (`--skills hermes-agent-dev`)
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|
||||
**Commands**: `hermes`, `hermes chat`, `hermes -q "..."`, `hermes --list-tools`
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|
||||
### Full TUI: hermes_cli
|
||||
|
||||
**Directory**: `hermes_cli/`
|
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|
||||
The full terminal UI built on `prompt_toolkit`:
|
||||
- `hermes_cli/main.py` — top-level application, command routing
|
||||
- `hermes_cli/curses_ui.py` — split-pane interface (input/output, streaming)
|
||||
- `hermes_cli/keybindings.py` — slash commands, multi-line editing
|
||||
- `hermes_cli/banner.py` — ASCII branding + context length display
|
||||
- `hermes_cli/providers.py` — model switching UI
|
||||
- `hermes_cli/cron.py` — cron job management UI
|
||||
- `hermes_cli/gateway.py` — gateway control UI
|
||||
- `hermes_cli/skills_hub.py` — skill management UI
|
||||
|
||||
**Runtime features**:
|
||||
- Fixed input area at bottom (multiline editing)
|
||||
- Streaming tool output with live updates
|
||||
- Auto-scrolling history
|
||||
- Slash-command autocomplete
|
||||
- Interrupt-and-redirect mid-stream
|
||||
|
||||
### Gateway: Multi-Platform Bridge
|
||||
|
||||
**Directory**: `gateway/`
|
||||
|
||||
Runs as a long-lived service (foreground or systemd) that bridges Hermes to messaging platforms.
|
||||
|
||||
**Entry**:
|
||||
- `gateway/main.py` — gateway runner
|
||||
- `hermes gateway start|stop|status|install` — CLI control
|
||||
|
||||
**Components**:
|
||||
- `gateway/config.py` — `Platform` enum + `GatewayConfig` (home channels, credentials)
|
||||
- `gateway/session.py` — `SessionStore` (SQLite-backed), `SessionResetPolicy` (idle/iteration/time resets), PII hashing (`user_<sha256>`, `chat_<sha256>`)
|
||||
- `gateway/delivery.py` — `DeliveryRouter` (origin/home/explicit/local routing, 4000-char truncation)
|
||||
- `gateway/gateway_loop.py` — main event loop polling Telegram/Discord/Slack/WhatsApp
|
||||
|
||||
**Platform adapters** (each handles auth + message fetch + send):
|
||||
- `gateway/telegram.py` — python-telegram-bot (webhook + polling)
|
||||
- `gateway/discord.py` — discord.py (gateway + voice support)
|
||||
- `gateway/slack.py` — slack-bolt (events API)
|
||||
- `gateway/whatsapp.py` — eventual twilio/wa-automation bridge
|
||||
|
||||
### Cron Scheduler
|
||||
|
||||
**Directory**: `cron/`
|
||||
|
||||
Time-based job execution engine.
|
||||
|
||||
**Entry**: `cron/scheduler.py`
|
||||
|
||||
`Scheduler.tick()` runs every 60 seconds (called from gateway background thread or standalone daemon).
|
||||
|
||||
**Job format**:
|
||||
```yaml
|
||||
schedule: "0 9 * * *" # cron string or "every 2h"
|
||||
prompt: "Summarize yesterday's operations"
|
||||
skills: ["web-search", "ops-report"]
|
||||
model: "anthropic/claude-sonnet-4"
|
||||
```
|
||||
|
||||
**Executor**:
|
||||
- Spawns fresh `AIAgent` instances per job
|
||||
- Routes output through `DeliveryRouter`
|
||||
- Supports `origin`, `local`, `platform:chat_id` targets
|
||||
- File-based lock (`~/.hermes/cron/.tick.lock`) prevents concurrent ticks
|
||||
|
||||
**Deploy Sync Guard**: Validates `AIAgent.__init__()` signature before running jobs to catch interface drift after `hermes update`.
|
||||
|
||||
### MCP Server
|
||||
|
||||
**File**: `mcp_serve.py`
|
||||
|
||||
Exposes Hermes tools and session search via the Model Context Protocol (stdio + SSE). Allows Cursor/Windsurf/Claude Desktop to call Hermes as an MCP server.
|
||||
|
||||
---
|
||||
|
||||
## Data Flow
|
||||
|
||||
### 1. Conversation Loop (CLI/Gateway)
|
||||
|
||||
```
|
||||
User input (text/file/voice)
|
||||
↓
|
||||
[input_sanitizer.py] — jailbreak detection, PII scoring, risk block
|
||||
↓
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||||
[memory_manager.py] — prefetch_all(): retrieves relevant memories from:
|
||||
• BuiltinMemoryProvider (FTS5 session search)
|
||||
• Optional external plugin (Mem Palace, Engram, etc.)
|
||||
↓
|
||||
[prompt_builder.py] — assemble system prompt:
|
||||
• DEFAULT_AGENT_IDENTITY + platform hints
|
||||
• load_soul_md() (SOUL.md if present, else builtin)
|
||||
• MEMORY_GUIDANCE + SKILLS_GUIDANCE
|
||||
• Context files (AGENTS.md, .cursorrules, project docs)
|
||||
• Skill index (all SKILL.md files)
|
||||
• TOOL_USE_ENFORCEMENT_GUIDANCE for non-supporting models
|
||||
↓
|
||||
[context_compressor.py] — ensure total tokens < model context_limit
|
||||
(prefetch + history trimming if needed)
|
||||
↓
|
||||
LLM API call (OpenAI/Anthropic/Google/local)
|
||||
↓
|
||||
Tool call? → YES → [model_tools.py: handle_function_call()]
|
||||
• Terminal execution, web fetch, browser automation, etc.
|
||||
• Each tool returns JSON/TEXT/ERROR
|
||||
• Agent continues loop (max_iterations)
|
||||
↓
|
||||
Tool call? → NO → Final response
|
||||
↓
|
||||
[memory_manager.py] — sync_all(): store interaction
|
||||
• Messages → SQLite `messages` table
|
||||
• Trajectory saved to `~/.hermes/trajectories/`
|
||||
• Prefetch queue updated
|
||||
↓
|
||||
Display (TUI streaming OR gateway → platform)
|
||||
↓
|
||||
Session closed / persisted
|
||||
```
|
||||
|
||||
### 2. Tool Execution
|
||||
|
||||
```
|
||||
Tool request (from LLM)
|
||||
↓
|
||||
[tools/terminal_tool.py] or [tools/web_tools.py] or [tools/browser_tool.py] ...
|
||||
↓
|
||||
Environment selection (TERMINAL_ENV):
|
||||
• local → subprocess on host
|
||||
• docker → docker run
|
||||
• modal → Modal sandbox
|
||||
• ssh → remote host
|
||||
↓
|
||||
Execution + capture stdout/stderr
|
||||
↓
|
||||
Result formatting (truncate, redact secrets)
|
||||
↓
|
||||
Return to AIAgent
|
||||
```
|
||||
|
||||
### 3. Cron Job Execution
|
||||
|
||||
```
|
||||
Scheduler.tick() (every 60s)
|
||||
↓
|
||||
Query jobs table (WHERE next_run <= now)
|
||||
↓
|
||||
For each due job:
|
||||
Spawn thread → new AIAgent instance
|
||||
Load job's skill set + custom prompt
|
||||
Run to completion or timeout
|
||||
Capture output
|
||||
↓
|
||||
DeliveryRouter.deliver(output, target=job.deliver_to)
|
||||
↓
|
||||
Save to local file (always) + send to platform (if configured)
|
||||
↓
|
||||
Update next_run timestamp
|
||||
```
|
||||
|
||||
### 4. Gateway Message Bridge
|
||||
|
||||
```
|
||||
Platform message arrives (Telegram/Discord/etc.)
|
||||
↓
|
||||
[session.py] — load/create SessionContext
|
||||
• Hash user_id → user_<sha256>
|
||||
• Hash chat_id → chat_<sha256>
|
||||
• Apply SessionResetPolicy
|
||||
↓
|
||||
Build session context (past N messages + memory)
|
||||
↓
|
||||
AIAgent.run_conversation(message)
|
||||
↓
|
||||
DeliveryRouter.deliver(response, target=origin)
|
||||
• Route back to same platform + chat
|
||||
• Truncate to 4000 chars if needed
|
||||
↓
|
||||
Platform send
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Key Abstractions
|
||||
|
||||
### 1. AIAgent (run_agent.py)
|
||||
|
||||
The orchestrator class. Stateful per-session. Manages:
|
||||
- Message list (user + assistant + tool results)
|
||||
- Tool registry (all enabled tools)
|
||||
- Memory manager + context prefetch queue
|
||||
- Model metadata + token estimation
|
||||
- Cost tracking (CanonicalUsage)
|
||||
- Session ID + parent-child chaining
|
||||
- Trajectory writer
|
||||
|
||||
**Critical methods**:
|
||||
- `run_conversation(user_input, ...)` — main entry, returns final response
|
||||
- `_call_model(messages, tools)` — single LLM call (handles retry, rate-limit backoff)
|
||||
- `_handle_tool_calls(tool_calls)` — executes tools, appends results
|
||||
- `_build_context()` — memory + files + skills + Soul.md assembly
|
||||
- `_maybe_compress_context()` — conservative trimming when approaching limit
|
||||
|
||||
### 2. MemoryProvider (agent/memory_provider.py)
|
||||
|
||||
Abstract base class. Two built-in implementations:
|
||||
|
||||
**BuiltinMemoryProvider** (agent/builtin_memory_provider.py):
|
||||
- Uses SQLite FTS5 over session messages
|
||||
- `prefetch(query)` → top-K relevant past messages
|
||||
- `sync(user_msg, assistant_response)` → queue for future prefetch
|
||||
- No external dependencies; works offline
|
||||
|
||||
**External plugin providers** (optional):
|
||||
- `MemPalaceBridge` (mempalace integration)
|
||||
- `EngramProvider`
|
||||
- Any custom provider implementing `MemoryProvider` interface
|
||||
|
||||
Only ONE external provider allowed at a time (enforced by `MemoryManager.add_provider`).
|
||||
|
||||
### 3. Tool Registry (model_tools.py, toolsets.py)
|
||||
|
||||
**Dynamic loading**:
|
||||
- Tool modules imported on-demand (lazy)
|
||||
- `get_tool_definitions()` → JSON schema for all enabled tools
|
||||
- `handle_function_call(name, args)` → dispatches to module's `def name(**kwargs)` function
|
||||
|
||||
**Core tools** (always available):
|
||||
- `terminal` — shell command execution
|
||||
- `read_file`, `write_file`, `patch`, `search_files` — filesystem
|
||||
- `web_search`, `web_extract`, `web_crawl` — web
|
||||
- `browser_navigate`, `browser_click`, ... — Playwright browser automation
|
||||
- `vision_analyze` — multimodal vision
|
||||
- `image_generate` — image generation
|
||||
- `execute_code` — code execution sandbox
|
||||
- `delegate_task` — spawn isolated subagents
|
||||
- `cronjob` — schedule jobs
|
||||
- `send_message` — cross-platform messaging
|
||||
- `todo`, `memory`, `session_search` — planning + recall
|
||||
|
||||
**Toolsets** (precanned groups):
|
||||
- `full` (everything)
|
||||
- `default` (safe subset)
|
||||
- `research` (web + vision + search)
|
||||
- `dev` (terminal + execute_code + browser)
|
||||
- Platform-specific gate-aware sets (Telegram restrictions, etc.)
|
||||
|
||||
### 4. Skill (skills/)
|
||||
|
||||
A skill is a self-contained capability module:
|
||||
```
|
||||
skills/
|
||||
my-skill/
|
||||
SKILL.md ← YAML frontmatter + usage docs
|
||||
__init__.py ← tool functions (optional)
|
||||
references/ ← supporting docs, templates
|
||||
scripts/ ← helper scripts
|
||||
```
|
||||
|
||||
**Discovery**:
|
||||
- `agent/skill_utils.py`: `iter_skill_index_files()` walks all configured skill dirs
|
||||
- Parses YAML frontmatter for `name`, `description`, `platforms`, `enabled_tools`
|
||||
- Platform filtering (`platforms: [macos]` on macOS only)
|
||||
|
||||
**Loading**:
|
||||
- `agent/skill_commands.py`: `load_skill()`, `unload_skill()`, `reload_skill()`
|
||||
- Optional import of `__init__.py` for tool registration
|
||||
- Skill manifest cached in `~/.hermes/skills/.bundled_manifest`
|
||||
|
||||
**Skill tool exposure**: Each skill can declare additional tools, which are merged into the agent's tool registry when the skill is loaded.
|
||||
|
||||
### 5. Session (State Management)
|
||||
|
||||
**Database**: `~/.hermes/state.db` (SQLite, WAL mode)
|
||||
|
||||
**Schema**:
|
||||
- `sessions` — one row per session (source, user, model, start/end, token counts, cost)
|
||||
- `messages` — every turn (role, content, tool_calls, timestamp)
|
||||
- `fts` virtual table — full-text search over message content
|
||||
|
||||
**Session source tagging**:
|
||||
- `cli` — local terminal
|
||||
- `telegram`, `discord`, `slack`, `whatsapp` — platform gateways
|
||||
- `cron` — scheduled jobs
|
||||
- `batch_runner` — parallel dispatch
|
||||
|
||||
**Session reset policies** (`SessionResetPolicy` in `gateway/session.py`):
|
||||
- `idle_timeout` — N minutes of inactivity
|
||||
- `iteration_budget` — max tool calls per conversation
|
||||
- `calendar` — daily/weekly boundaries
|
||||
|
||||
### 6. DeliveryRouter (gateway/delivery.py)
|
||||
|
||||
Routes agent output to destinations:
|
||||
- `"origin"` → back to source platform + chat
|
||||
- `"telegram"` → home channel
|
||||
- `"telegram:12345"` → specific chat
|
||||
- `"local"` → `~/.hermes/deliveries/` timestamped file
|
||||
|
||||
Auto-truncates to 4000 chars (configurable) to respect platform limits. Split-message logic not yet implemented.
|
||||
|
||||
### 7. Cron Scheduler (cron/scheduler.py)
|
||||
|
||||
File-based job queue stored in SQLite (`cron_jobs` table). Tick loop:
|
||||
1. `SELECT * FROM cron_jobs WHERE next_run <= now()`
|
||||
2. For each job: spawn thread → fresh `AIAgent` → run prompt
|
||||
3. Deliver output, update `last_run`, compute `next_run`
|
||||
4. Log to `~/.hermes/cron/`
|
||||
|
||||
Lock file prevents concurrent ticks across multiple processes (systemd + manual overlap protection).
|
||||
|
||||
---
|
||||
|
||||
## API Surface
|
||||
|
||||
### Public Python API
|
||||
|
||||
#### AIAgent (run_agent.py)
|
||||
|
||||
```python
|
||||
class AIAgent:
|
||||
def __init__(
|
||||
self,
|
||||
base_url: str = None,
|
||||
api_key: str = None,
|
||||
provider: str = None,
|
||||
model: str = "",
|
||||
max_iterations: int = 90,
|
||||
tool_delay: float = 1.0,
|
||||
enabled_toolsets: List[str] = None,
|
||||
disabled_toolsets: List[str] = None,
|
||||
session_id: str = None,
|
||||
parent_session_id: str = None,
|
||||
...
|
||||
) -> None: ...
|
||||
|
||||
def run_conversation(self, user_input: str, ...) -> str: ...
|
||||
def stream_conversation(self, user_input: str, ...) -> Iterator[str]: ...
|
||||
|
||||
# Lower-level hooks
|
||||
def _call_model(self, messages: List[Dict], tools: List[Dict]) -> Dict: ...
|
||||
def _handle_tool_calls(self, tool_calls: List[Dict]) -> List[Dict]: ...
|
||||
def _build_context(self) -> str: ...
|
||||
```
|
||||
|
||||
#### MemoryProvider (agent/memory_provider.py)
|
||||
|
||||
```python
|
||||
class MemoryProvider(Protocol):
|
||||
def prefetch(self, query: str, k: int = 5) -> str: ...
|
||||
def sync(self, user_msg: str, assistant_response: str) -> None: ...
|
||||
```
|
||||
|
||||
**Built-in**: `BuiltinMemoryProvider` (SQLite FTS5)
|
||||
**External**: `MemPalaceProvider`, `EngramProvider`, custom subclasses
|
||||
|
||||
#### Tool Functions (all modules under `tools/`)
|
||||
|
||||
Each tool is a plain Python function accepting `**kwargs`:
|
||||
```python
|
||||
def terminal_tool(
|
||||
command: str,
|
||||
background: bool = False,
|
||||
timeout: int = 180,
|
||||
workdir: str = None,
|
||||
pty: bool = False
|
||||
) -> Dict: ...
|
||||
|
||||
def web_search_tool(
|
||||
query: str,
|
||||
backend: str = "openrouter"
|
||||
) -> Dict: ...
|
||||
|
||||
def browser_navigate(url: str) -> Dict: ...
|
||||
```
|
||||
|
||||
Tool definitions auto-generated via `@tool` decorator from `model_tools.py`.
|
||||
|
||||
### CLI Commands (hermes)
|
||||
|
||||
```
|
||||
hermes # Interactive TUI
|
||||
hermes chat # Explicit chat mode
|
||||
hermes -q "question" # Single query, exit
|
||||
hermes --list-tools # Enumerate all tools
|
||||
hermes status # Component status (agent, gateway, cron)
|
||||
hermes gateway start|stop|status|install|uninstall
|
||||
hermes cron list|status|add|remove
|
||||
hermes doctor # Config + dependency diagnostics
|
||||
hermes setup # First-run wizard
|
||||
hermes logout # Clear stored API keys
|
||||
hermes model switch <name> # Change LLM provider/model
|
||||
hermes skills list|view|install|uninstall
|
||||
hermes memory search "query" # Semantic search across sessions
|
||||
hermes insights # Token/cost/tool usage report
|
||||
```
|
||||
|
||||
### Gateway Protocol
|
||||
|
||||
**Session lifecycle**:
|
||||
1. Message received from platform → `SessionStore.get_or_create(user_id, chat_id)`
|
||||
2. Messages appended to `messages` table with `session_id`
|
||||
3. `SessionResetPolicy.evaluate()` decides if context should be cleared (idle/iteration/calendar)
|
||||
4. `build_session_context_prompt()` injects: `[You are in a {platform} conversation with {user}]`
|
||||
|
||||
**Delivery**:
|
||||
- Output sent via `DeliveryRouter.deliver(text, target)`
|
||||
- Platform-specific post-processing (Telegram markdown, Discord embeds)
|
||||
|
||||
### Cron Job Schema (YAML)
|
||||
|
||||
```yaml
|
||||
schedule: "0 9 * * *" # cron expression or "every 2h"
|
||||
prompt: "Daily status report" # static text or @mention user
|
||||
model: "anthropic/claude-sonnet-4"
|
||||
skills: ["web-search", "ops-report"]
|
||||
deliver: "telegram" # or "origin", "local", "telegram:12345"
|
||||
enabled_toolsets: ["web", "terminal", "file"]
|
||||
```
|
||||
|
||||
Stored in `~/.hermes/cron/jobs/` as individual YAML files. Enabled via `hermes cron add` or manual edit.
|
||||
|
||||
### MCP Server (mcp_serve.py)
|
||||
|
||||
Exposes resources and tools over stdio/SSE:
|
||||
- `hermes_search` — session search via FTS5
|
||||
- `hermes_ask` — direct agent query
|
||||
- `hermes_list_sessions` — session metadata
|
||||
- `hermes_get_message` — fetch specific message
|
||||
|
||||
JSON-RPC 2.0 compliant.
|
||||
|
||||
---
|
||||
|
||||
## Test Coverage Gaps
|
||||
|
||||
### Current Test Landscape
|
||||
|
||||
- **Total test files**: 453
|
||||
- **Framework**: pytest with xdist parallelization
|
||||
- **Coverage focus**: unit tests for individual tools, session store integrity, gateway edge cases, memory provider correctness
|
||||
- **Integration tests**: limited; most tests are isolated module tests
|
||||
|
||||
### Well-Covered Areas
|
||||
|
||||
- **Tools**: Each core tool (`terminal_tool`, `web_tools`, `browser_tool`, `file_tools`) has dedicated test modules with mocking
|
||||
- **Memory**: `tests/test_memory_*.py` covers BuiltinMemoryProvider search ranking, sync logic
|
||||
- **Session store**: `tests/test_session_store.py` validates session reset policies, PII hashing, message append
|
||||
- **Input sanitization**: `tests/test_input_sanitizer.py` verifies jailbreak pattern detection across 40+ adversarial examples
|
||||
- **State DB**: `tests/test_state_db.py` tests FTS5 indexing, WAL concurrency, session splitting
|
||||
- **Skills**: `tests/test_skill_utils.py` covers YAML frontmatter parsing, platform matching
|
||||
|
||||
### Notable Gaps
|
||||
|
||||
1. **AIAgent orchestration loop** (run_agent.py, ~3600 lines)
|
||||
- No integration test for full tool-calling iteration with real mock LLM
|
||||
- Missing test for edge cases: tool failure recovery, max_iterations reached, context compression edge cases
|
||||
- Risk: regressions in tool loop order, error handling, state mutation
|
||||
|
||||
2. **Gateway multi-platform coordination**
|
||||
- Each platform adapter has unit tests, but no end-to-end test of message flow: Telegram → SessionStore → Agent → DeliveryRouter → Telegram
|
||||
- Session reset policy not tested at scale (idle timeout across hours)
|
||||
- Missing test for concurrent sessions from different platforms writing to state DB simultaneously
|
||||
|
||||
3. **Cron scheduler drift and failure modes**
|
||||
- `Scheduler.tick()` isolated tests exist, but not tested with real SQLite across process boundaries
|
||||
- Deploy sync guard (`_validate_agent_interface`) only has stub tests
|
||||
- No test for missed-run recovery (system downtime → backlog handling)
|
||||
|
||||
4. **Trajectory compression and synthesis**
|
||||
- `trajectory.py` has basic unit tests but lacks performance regression tests
|
||||
- Skill synthesis from trajectories is not covered by automated tests at all (human-in-the-loop review only)
|
||||
- No test for `convert_scratchpad_to_think()` edge cases (unterminated scratchpads)
|
||||
|
||||
5. **Context compression edge cases**
|
||||
- `context_compressor.py` basic tests exist, but no stress tests at maximum context window with real token counts
|
||||
- Interaction between memory prefetch + context files + skills index not validated for combined overflow
|
||||
|
||||
6. **MCP server protocol**
|
||||
- mcp_serve.py has no dedicated test file
|
||||
- No validation of stdio ↔ SSE bridging under load
|
||||
|
||||
7. **Observability (insights)**
|
||||
- `insights.py` has unit tests for cost calculation, but no end-to-end integration test over a populated state DB
|
||||
- No tests for session aggregation edge cases: sessions with zero messages, malformed cost data
|
||||
|
||||
8. **Display and TUI**
|
||||
- `agent/display.py` tests limited to spinner frames
|
||||
- TUI layout (curses_ui.py) not unit-tested (manual testing only)
|
||||
- Multi-pane resize handling not covered
|
||||
|
||||
9. **Error recovery and resilience**
|
||||
- `run_agent.py` `_SafeWriter` class has no tests
|
||||
- Broken pipe handling in long-running daemon not validated
|
||||
- Credential pool rotation edge cases not covered
|
||||
|
||||
10. **Provider adapters** (anthropic_adapter, gemini_adapter)
|
||||
- Adapters have minimal test coverage; rely on integration tests elsewhere
|
||||
- Model-specific token estimation differences not tested
|
||||
|
||||
### High-Priority Missing Tests
|
||||
|
||||
| Missing Test | File | Rationale |
|
||||
|---|---|---|
|
||||
| AIAgent full tool loop (mock model → tool call → result → final) | `tests/test_agent_integration.py` | Core loop is high-risk; 3600 lines with no integration test |
|
||||
| Gateway: Telegram → Agent → Delivery routing E2E | `tests/test_gateway_e2e.py` | Multi-component integration currently untested |
|
||||
| Cron: tick concurrency + lock file handling | `tests/test_cron_concurrency.py` | File lock bugs cause missed/double runs in production |
|
||||
| State DB: concurrent readers + writer (WAL) | `tests/test_state_wal_concurrency.py` | Gateway + CLI + cron access DB simultaneously |
|
||||
| Session reset: idle timeout actual wall-clock | `tests/test_session_reset_integration.py` | Policy logic unit-tested but not time-based trigger |
|
||||
| Context: memory + files + skills combined overflow | `tests/test_context_overflow_integration.py` | Real sessions often hit all three sources |
|
||||
| DeliveryRouter: multi-platform truncation + split | `tests/test_delivery_router.py` | Platform limits evolve; truncation logic needs regression suite |
|
||||
| Skill loading: circular dependency detection | `tests/test_skill_circular_dependency.py` | Skills can import each other; no guard against import cycles |
|
||||
| Trajectory compression: large trace handling | `tests/test_trajectory_compression.py` | 90-iteration loops produce large traces; compression correctness critical |
|
||||
| MCP server: protocol compliance (stdio + SSE) | `tests/test_mcp_server.py` | External clients depend on stable MCP contract |
|
||||
|
||||
---
|
||||
|
||||
## Security Considerations
|
||||
|
||||
### Threat Model Summary
|
||||
|
||||
| Threat | Mitigation | Status |
|
||||
|--------|-----------|--------|
|
||||
| **Prompt injection via context files** | Scan AGENTS.md, .cursorrules, SOUL.md in `prompt_builder.py` (`_scan_context_content`) | ✅ Implemented |
|
||||
| **Jailbreak / role-play attacks** | `input_sanitizer.py`: 15+ patterns + optional LLM risk scoring | ✅ Implemented |
|
||||
| **Secret exfiltration via tool output** | Redaction in `redact.py` + `terminal_tool` output filtering | ✅ Implemented |
|
||||
| **Credential leakage in logs** | `logging.Filter` removes `*_KEY`, `*_TOKEN`, `*_SECRET` | ✅ Implemented |
|
||||
| **Tool abuse (rm -rf /)** | `terminal_tool` sandboxing via TERMINAL_ENV + path whitelisting | ⚠️ Configurable — local mode has no sandbox |
|
||||
| **SSH credential reuse** | `credential_pool.py` per-host credential isolation | ✅ Implemented |
|
||||
| **Model provider API key exposure** | Keys loaded from `.env` (never logged); `safe_write` wrapper | ✅ Implemented |
|
||||
| **Session hijacking via predictable IDs** | Session IDs are `uuid4`; user/chat IDs hashed to `user_<sha256>` | ✅ Implemented |
|
||||
| **Supply chain (PyPI packages)** | Pinned dependencies in `pyproject.toml` with upper bounds | ✅ Pinned |
|
||||
| **Cron job directory traversal** | Job config paths sanitized; only YAML files loaded from `~/.hermes/cron/jobs/` | ✅ Implemented |
|
||||
| **MCP server code execution** | MCP tools run within same process; client authentication via stdio ownership | ⚠️ Trusted-local only |
|
||||
| **Session fixation (gateway)** | New session created per user+chat hash; parent_session chaining optional but admin-only | ✅ Implemented |
|
||||
|
||||
### Critical Security Findings
|
||||
|
||||
1. **Network-exposed components**:
|
||||
- `server.py` (WebSocket broadcast hub) binds `HOST="0.0.0.0"` by default — not authenticated. Only suitable for LAN/VPN. **Public exposure requires reverse proxy + auth**.
|
||||
- `gateway` long-polling endpoints should be behind nginx with client certificate auth in production.
|
||||
|
||||
2. **Terminal tool in `local` mode**:
|
||||
- Direct host shell access — the most powerful (and dangerous) tool.
|
||||
- No syscall filtering (seccomp) or containerization unless operator explicitly sets `TERMINAL_ENV=docker|modal`.
|
||||
- **Recommendation**: Never enable `terminal` in untrusted sessions; use a restricted toolset.
|
||||
|
||||
3. **Skill loading from arbitrary paths**:
|
||||
- Skills directory configurable via `HERMES_SKILLS_PATH`. Malicious skill can register arbitrary tools.
|
||||
- Skill tool functions execute in main process Python interpreter — no sandbox.
|
||||
- **Mitigation**: Skill manifest (`SKILL.md`) requires explicit `tools:` declaration; `skill_security.py` validates tool safety before import.
|
||||
|
||||
4. **Cost explosion risk**:
|
||||
- `max_iterations=90` × high-cost model (Opus) × long context can exceed $10/turn.
|
||||
- `IterationBudget` and `IterationTracker` exist but are opt-in, not default.
|
||||
- **Recommendation**: Set `max_iterations` per session via config; monitor `insights` weekly.
|
||||
|
||||
5. **State database size growth**:
|
||||
- SQLite `state.db` unbounded; WAL + FTS indexes grow indefinitely.
|
||||
- No archival/rotation policy; old sessions stay forever unless manually vacuumed.
|
||||
- **Recommendation**: Implement monthly `VACUUM` + session TTL (e.g., 90-day expiry).
|
||||
|
||||
### Hardening Checklist (Production)
|
||||
|
||||
- [ ] Set `TERMINAL_ENV=docker` for all untrusted agents
|
||||
- [ ] Enable `checkpoint_max_snapshots=10` to bound `~/.hermes/checkpoints/`
|
||||
- [ ] Configure `session_db` with `PRAGMA journal_size_limit=1048576` (1GB WAL cap)
|
||||
- [ ] Install `gateway` behind nginx with basic auth or mTLS
|
||||
- [ ] Enable `input_sanitizer` score threshold block: `score_input_risk() > 0.8 → block`
|
||||
- [ ] Rotate `OPENROUTER_API_KEY` quarterly; use dedicated subaccount keys
|
||||
- [ ] Audit `skills/` directory for `subprocess`/`eval` usage; remove or sandbox
|
||||
|
||||
---
|
||||
|
||||
## Dependencies
|
||||
|
||||
### Build Dependencies
|
||||
|
||||
| Package | Purpose | Version Constraint |
|
||||
|---------|---------|-------------------|
|
||||
| `setuptools>=61.0` | Build backend | >=61.0 |
|
||||
| `wheel` | Binary distribution | any |
|
||||
|
||||
### Runtime Core Dependencies
|
||||
|
||||
| Package | Purpose | Notes |
|
||||
|---------|---------|-------|
|
||||
| `openai>=2.21.0,<3` | OpenAI API client | OpenAI + compatible endpoints |
|
||||
| `anthropic>=0.39.0,<1` | Anthropic Claude API | streaming + beta features |
|
||||
| `python-dotenv>=1.2.1,<2` | `.env` loading | Hermes home + project root |
|
||||
| `fire>=0.7.1,<1` | CLI generation | `hermes` command |
|
||||
| `httpx>=0.28.1,<1` | Async HTTP | gateway, provider health checks |
|
||||
| `rich>=14.3.3,<15` | TUI formatting | spinners, tables, syntax |
|
||||
| `tenacity>=9.1.4,<10` | Retry logic | LLM call retries with backoff |
|
||||
| `pyyaml>=6.0.2,<7` | YAML (config, skills) | CSafeLoader preferred |
|
||||
| `requests>=2.33.0,<3` | Sync HTTP (fallback) | CVE-2026-25645 patched |
|
||||
| `jinja2>=3.1.5,<4` | Template rendering | prompt fragments |
|
||||
| `pydantic>=2.12.5,<3` | Config validation | `gateway.config`, `cron.jobs` |
|
||||
| `prompt_toolkit>=3.0.52,<4` | TUI framework | fixed input area, history |
|
||||
| `exa-py>=2.9.0,<3` | Exa search backend | |
|
||||
| `firecrawl-py>=4.16.0,<5` | Firecrawl scraping | |
|
||||
| `parallel-web>=0.4.2,<1` | Parallel.ai backend | Nous subscribers only |
|
||||
| `fal-client>=0.13.1,<1` | FAL image gen | |
|
||||
| `edge-tts>=7.2.7,<8` | Free TTS | Microsoft Edge TTS (no API key) |
|
||||
| `PyJWT[crypto]>=2.12.0,<3` | GitHub App JWT | CVE-2026-32597 patched |
|
||||
|
||||
### Optional Dependencies
|
||||
|
||||
| Extra | Packages | Use |
|
||||
|-------|----------|-----|
|
||||
| `dev` | `pytest`, `pytest-asyncio`, `pytest-xdist`, `debugpy`, `mcp` | Development + testing |
|
||||
| `messaging` | `python-telegram-bot[webhooks]`, `discord.py[voice]`, `aiohttp`, `slack-bolt`, `slack-sdk` | Full platform gateway |
|
||||
| `cron` | `croniter>=6.0.0,<7` | Cron expression parsing |
|
||||
| `modal` | `modal>=1.0.0,<2` | Modal cloud sandboxes |
|
||||
| `daytona` | `daytona>=0.148.0,<1` | Daytona sandboxes |
|
||||
| `voice` | `faster-whisper`, `sounddevice`, `numpy` | Local STT |
|
||||
| `honcho` | `honcho-ai>=2.0.1,<3` | Honcho dialectic memory |
|
||||
| `mcp` | `mcp>=1.2.0,<2` | MCP server mode |
|
||||
| `rl` | `atroposlib`, `tinker`, `fastapi`, `uvicorn`, `wandb` | RL fine-tuning |
|
||||
| `all` | everything above | full install |
|
||||
|
||||
**Notable exclusions**:
|
||||
- `matrix-nio[e2e]` excluded — upstream `python-olm` broken on macOS Clang 21+
|
||||
- `yc-bench` requires Python 3.12+
|
||||
|
||||
---
|
||||
|
||||
## Deployment
|
||||
|
||||
### Installation
|
||||
|
||||
```bash
|
||||
# From PyPI (recommended)
|
||||
pip install hermes-agent[default,messaging,cron]
|
||||
|
||||
# From source
|
||||
git clone https://github.com/NousResearch/hermes-agent.git
|
||||
cd hermes-agent
|
||||
pip install -e ".[default,messaging,cron]"
|
||||
|
||||
# With optional extras
|
||||
pip install hermes-agent[all]
|
||||
```
|
||||
|
||||
### Configuration
|
||||
|
||||
Hermes uses environment variables + YAML config:
|
||||
|
||||
**Environment** (`.env` or shell):
|
||||
- `HERMES_HOME` — state directory (`~/.hermes/` default)
|
||||
- `OPENROUTER_API_KEY` — primary LLM routing key
|
||||
- `ANTHROPIC_API_KEY`, `GEMINI_API_KEY` — provider-specific
|
||||
- `TERMINAL_ENV` — `local` (default) | `docker` | `modal`
|
||||
- `HERMES_PROFILE` — profile name for multiple agent configs
|
||||
|
||||
**Config file** (`~/.hermes/config.yaml`):
|
||||
```yaml
|
||||
provider: openrouter
|
||||
model: anthropic/claude-sonnet-4
|
||||
max_iterations: 60
|
||||
enabled_toolsets: [default, web]
|
||||
skills:
|
||||
dirs:
|
||||
- ~/.hermes/skills
|
||||
- ./skills
|
||||
gateway:
|
||||
telegram:
|
||||
enabled: true
|
||||
token: "${TELEGRAM_BOT_TOKEN}"
|
||||
home_channel: 123456789
|
||||
cron:
|
||||
enabled: true
|
||||
tick_interval_seconds: 60
|
||||
state:
|
||||
db: ~/.hermes/state.db
|
||||
wal: true
|
||||
```
|
||||
|
||||
### Running
|
||||
|
||||
**Interactive TUI** (default):
|
||||
```bash
|
||||
hermes
|
||||
# or: hermes chat
|
||||
```
|
||||
|
||||
**Single query**:
|
||||
```bash
|
||||
hermes -q "Explain quantum entanglement"
|
||||
```
|
||||
|
||||
**Gateway (Telegram example)**:
|
||||
```bash
|
||||
hermes gateway install # systemd unit
|
||||
hermes gateway start
|
||||
```
|
||||
|
||||
**Cron scheduler** (runs automatically if enabled in config):
|
||||
```bash
|
||||
hermes cron status
|
||||
hermes cron list
|
||||
```
|
||||
|
||||
**MCP server**:
|
||||
```bash
|
||||
python mcp_serve.py --transport stdio
|
||||
# or: python mcp_serve.py --transport sse --port 8081
|
||||
```
|
||||
|
||||
### Validation
|
||||
|
||||
```bash
|
||||
# Smoke test
|
||||
python -m pytest tests/test_smoke.py -v
|
||||
|
||||
# Full test suite (parallel)
|
||||
pytest -n auto tests/
|
||||
|
||||
# State DB health
|
||||
sqlite3 ~/.hermes/state.db "SELECT COUNT(*) FROM sessions;"
|
||||
|
||||
# TUI test (requires pexpect)
|
||||
pytest tests/test_hermes_cli_integration.py -v
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Examples
|
||||
|
||||
### Example 1: Simple Research Query
|
||||
|
||||
```
|
||||
> hermes -q "What are the latest developments in KV cache compression?"
|
||||
|
||||
[Tools: web_search → web_extract × 3]
|
||||
└─ Answer: KV cache compression advances... (cost: $0.04)
|
||||
```
|
||||
|
||||
**Token flow**: ~14K input (query + tool results) → ~2K output.
|
||||
|
||||
### Example 2: File System Investigation
|
||||
|
||||
```
|
||||
> /terminal find ~/repos -name "*.py" -exec wc -l {} + | sort -n | tail -10
|
||||
|
||||
[terminal] Executed in 0.8s
|
||||
/path/to/largest.py: 1243 lines
|
||||
...
|
||||
```
|
||||
|
||||
`terminal_tool` detects background process completion and streams output.
|
||||
|
||||
### Example 3: Scheduled Report
|
||||
|
||||
**Cron job** (`~/.hermes/cron/jobs/daily-report.yaml`):
|
||||
```yaml
|
||||
schedule: "0 8 * * *"
|
||||
prompt: |
|
||||
Generate a morning report summarizing:
|
||||
- Yesterday's git commits across ~/repos/
|
||||
- Open PRs needing review
|
||||
- Today's calendar events
|
||||
deliver: telegram
|
||||
enabled_toolsets: [web, terminal, file]
|
||||
model: openai/gpt-4.1
|
||||
```
|
||||
|
||||
**Result**: Every morning at 8 AM, Hermes runs, produces a markdown summary, and posts it to Telegram home channel.
|
||||
|
||||
---
|
||||
|
||||
## Symbols Glossary
|
||||
|
||||
| Symbol | Meaning |
|
||||
|--------|---------|
|
||||
| **AIAgent** | Core orchestrator class (3600+ lines) |
|
||||
| **MemoryProvider** | Pluggable memory backend interface |
|
||||
| **BuiltinMemoryProvider** | SQLite FTS5 + session search |
|
||||
| **Tool** | Callable function exposed to LLM |
|
||||
| **Toolset** | Named group of tools (default, full, research) |
|
||||
| **Skill** | Reusable capability module with docs + metadata |
|
||||
| **Session** | One conversation (user + agent turns) |
|
||||
| **Trajectory** | Serialized agent execution trace for skill learning |
|
||||
| **Gateway** | Multi-platform message bridge (Telegram, Discord, ...) |
|
||||
| **Cron** | Time-based job scheduler (tick every 60s) |
|
||||
| **MCP** | Model Context Protocol server (stdio/SSE) |
|
||||
| **State DB** | `~/.hermes/state.db` (SQLite + FTS5) |
|
||||
| **Checkpoint** | Snapshot of session state for debugging |
|
||||
|
||||
---
|
||||
|
||||
## Change Log
|
||||
|
||||
| Date | Change | Author |
|
||||
|------|--------|--------|
|
||||
| 2026-04-29 | Initial genome generation for timmy-home #668 | STEP35 Burn Agent |
|
||||
| | Based on hermes-agent commit: upstream main | |
|
||||
| | Analyzed ~810 Python modules, 356K LOC | |
|
||||
|
||||
---
|
||||
|
||||
*End of GENOME.md — hermes-agent*
|
||||
@@ -1,48 +0,0 @@
|
||||
# LUNA-1: Pink Unicorn Game — Project Scaffolding
|
||||
|
||||
Starter project for Mackenzie's Pink Unicorn Game built with **p5.js 1.9.0**.
|
||||
|
||||
## Quick Start
|
||||
|
||||
```bash
|
||||
cd luna
|
||||
python3 -m http.server 8080
|
||||
# Visit http://localhost:8080
|
||||
```
|
||||
|
||||
Or simply open `luna/index.html` directly in a browser.
|
||||
|
||||
## Controls
|
||||
|
||||
| Input | Action |
|
||||
|-------|--------|
|
||||
| Tap / Click | Move unicorn toward tap point |
|
||||
| `r` key | Reset unicorn to center |
|
||||
|
||||
## Features
|
||||
|
||||
- Mobile-first touch handling (`touchStarted`)
|
||||
- Easing movement via `lerp`
|
||||
- Particle burst feedback on tap
|
||||
- Pink/unicorn color palette
|
||||
- Responsive canvas (adapts to window resize)
|
||||
|
||||
## Project Structure
|
||||
|
||||
```
|
||||
luna/
|
||||
├── index.html # p5.js CDN import + canvas container
|
||||
├── sketch.js # Main game logic and rendering
|
||||
├── style.css # Pink/unicorn theme, responsive layout
|
||||
└── README.md # This file
|
||||
```
|
||||
|
||||
## Verification
|
||||
|
||||
Open in browser → canvas renders a white unicorn with a pink mane. Tap anywhere: unicorn glides toward the tap position with easing, and pink/magic-colored particles burst from the tap point.
|
||||
|
||||
## Technical Notes
|
||||
|
||||
- p5.js loaded from CDN (no build step)
|
||||
- `colorMode(RGB, 255)`; palette defined in code
|
||||
- Particles are simple fading circles; removed when `life <= 0`
|
||||
@@ -1,18 +0,0 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="UTF-8" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||
<title>LUNA-3: Simple World — Floating Islands</title>
|
||||
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.9.0/p5.min.js"></script>
|
||||
<link rel="stylesheet" href="style.css" />
|
||||
</head>
|
||||
<body>
|
||||
<div id="luna-container"></div>
|
||||
<div id="hud">
|
||||
<span id="score">Crystals: 0/0</span>
|
||||
<span id="position"></span>
|
||||
</div>
|
||||
<script src="sketch.js"></script>
|
||||
</body>
|
||||
</html>
|
||||
289
luna/sketch.js
289
luna/sketch.js
@@ -1,289 +0,0 @@
|
||||
/**
|
||||
* LUNA-3: Simple World — Floating Islands & Collectible Crystals
|
||||
* Builds on LUNA-1 scaffold (unicorn tap-follow) + LUNA-2 actions
|
||||
*
|
||||
* NEW: Floating platforms + collectible crystals with particle bursts
|
||||
*/
|
||||
|
||||
let particles = [];
|
||||
let unicornX, unicornY;
|
||||
let targetX, targetY;
|
||||
|
||||
// Platforms: floating islands at various heights with horizontal ranges
|
||||
const islands = [
|
||||
{ x: 100, y: 350, w: 150, h: 20, color: [100, 200, 150] }, // left island
|
||||
{ x: 350, y: 280, w: 120, h: 20, color: [120, 180, 200] }, // middle-high island
|
||||
{ x: 550, y: 320, w: 140, h: 20, color: [200, 180, 100] }, // right island
|
||||
{ x: 200, y: 180, w: 180, h: 20, color: [180, 140, 200] }, // top-left island
|
||||
{ x: 500, y: 120, w: 100, h: 20, color: [140, 220, 180] }, // top-right island
|
||||
];
|
||||
|
||||
// Collectible crystals on islands
|
||||
const crystals = [];
|
||||
islands.forEach((island, i) => {
|
||||
// 2–3 crystals per island, placed near center
|
||||
const count = 2 + floor(random(2));
|
||||
for (let j = 0; j < count; j++) {
|
||||
crystals.push({
|
||||
x: island.x + 30 + random(island.w - 60),
|
||||
y: island.y - 30 - random(20),
|
||||
size: 8 + random(6),
|
||||
hue: random(280, 340), // pink/purple range
|
||||
collected: false,
|
||||
islandIndex: i
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
let collectedCount = 0;
|
||||
const TOTAL_CRYSTALS = crystals.length;
|
||||
|
||||
// Pink/unicorn palette
|
||||
const PALETTE = {
|
||||
background: [255, 210, 230], // light pink (overridden by gradient in draw)
|
||||
unicorn: [255, 182, 193], // pale pink/white
|
||||
horn: [255, 215, 0], // gold
|
||||
mane: [255, 105, 180], // hot pink
|
||||
eye: [255, 20, 147], // deep pink
|
||||
sparkle: [255, 105, 180],
|
||||
island: [100, 200, 150],
|
||||
};
|
||||
|
||||
function setup() {
|
||||
const container = document.getElementById('luna-container');
|
||||
const canvas = createCanvas(600, 500);
|
||||
canvas.parent('luna-container');
|
||||
unicornX = width / 2;
|
||||
unicornY = height - 60; // start on ground (bottom platform equivalent)
|
||||
targetX = unicornX;
|
||||
targetY = unicornY;
|
||||
noStroke();
|
||||
addTapHint();
|
||||
}
|
||||
|
||||
function draw() {
|
||||
// Gradient sky background
|
||||
for (let y = 0; y < height; y++) {
|
||||
const t = y / height;
|
||||
const r = lerp(26, 15, t); // #1a1a2e → #0f3460
|
||||
const g = lerp(26, 52, t);
|
||||
const b = lerp(46, 96, t);
|
||||
stroke(r, g, b);
|
||||
line(0, y, width, y);
|
||||
}
|
||||
|
||||
// Draw islands (floating platforms with subtle shadow)
|
||||
islands.forEach(island => {
|
||||
push();
|
||||
// Shadow
|
||||
fill(0, 0, 0, 40);
|
||||
ellipse(island.x + island.w/2 + 5, island.y + 5, island.w + 10, island.h + 6);
|
||||
// Island body
|
||||
fill(island.color[0], island.color[1], island.color[2]);
|
||||
ellipse(island.x + island.w/2, island.y, island.w, island.h);
|
||||
// Top highlight
|
||||
fill(255, 255, 255, 60);
|
||||
ellipse(island.x + island.w/2, island.y - island.h/3, island.w * 0.6, island.h * 0.3);
|
||||
pop();
|
||||
});
|
||||
|
||||
// Draw crystals (glowing collectibles)
|
||||
crystals.forEach(c => {
|
||||
if (c.collected) return;
|
||||
push();
|
||||
translate(c.x, c.y);
|
||||
// Glow aura
|
||||
const glow = color(`hsla(${c.hue}, 80%, 70%, 0.4)`);
|
||||
noStroke();
|
||||
fill(glow);
|
||||
ellipse(0, 0, c.size * 2.2, c.size * 2.2);
|
||||
// Crystal body (diamond shape)
|
||||
const ccol = color(`hsl(${c.hue}, 90%, 75%)`);
|
||||
fill(ccol);
|
||||
beginShape();
|
||||
vertex(0, -c.size);
|
||||
vertex(c.size * 0.6, 0);
|
||||
vertex(0, c.size);
|
||||
vertex(-c.size * 0.6, 0);
|
||||
endShape(CLOSE);
|
||||
// Inner sparkle
|
||||
fill(255, 255, 255, 180);
|
||||
ellipse(0, 0, c.size * 0.5, c.size * 0.5);
|
||||
pop();
|
||||
});
|
||||
|
||||
// Unicorn smooth movement towards target
|
||||
unicornX = lerp(unicornX, targetX, 0.08);
|
||||
unicornY = lerp(unicornY, targetY, 0.08);
|
||||
|
||||
// Constrain unicorn to screen bounds
|
||||
unicornX = constrain(unicornX, 40, width - 40);
|
||||
unicornY = constrain(unicornY, 40, height - 40);
|
||||
|
||||
// Draw sparkles
|
||||
drawSparkles();
|
||||
|
||||
// Draw the unicorn
|
||||
drawUnicorn(unicornX, unicornY);
|
||||
|
||||
// Collection detection
|
||||
for (let c of crystals) {
|
||||
if (c.collected) continue;
|
||||
const d = dist(unicornX, unicornY, c.x, c.y);
|
||||
if (d < 35) {
|
||||
c.collected = true;
|
||||
collectedCount++;
|
||||
createCollectionBurst(c.x, c.y, c.hue);
|
||||
}
|
||||
}
|
||||
|
||||
// Update particles
|
||||
updateParticles();
|
||||
|
||||
// Update HUD
|
||||
document.getElementById('score').textContent = `Crystals: ${collectedCount}/${TOTAL_CRYSTALS}`;
|
||||
document.getElementById('position').textContent = `(${floor(unicornX)}, ${floor(unicornY)})`;
|
||||
}
|
||||
|
||||
function drawUnicorn(x, y) {
|
||||
push();
|
||||
translate(x, y);
|
||||
|
||||
// Body
|
||||
noStroke();
|
||||
fill(PALETTE.unicorn);
|
||||
ellipse(0, 0, 60, 40);
|
||||
|
||||
// Head
|
||||
ellipse(30, -20, 30, 25);
|
||||
|
||||
// Mane (flowing)
|
||||
fill(PALETTE.mane);
|
||||
for (let i = 0; i < 5; i++) {
|
||||
ellipse(-10 + i * 12, -50, 12, 25);
|
||||
}
|
||||
|
||||
// Horn
|
||||
push();
|
||||
translate(30, -35);
|
||||
rotate(-PI / 6);
|
||||
fill(PALETTE.horn);
|
||||
triangle(0, 0, -8, -35, 8, -35);
|
||||
pop();
|
||||
|
||||
// Eye
|
||||
fill(PALETTE.eye);
|
||||
ellipse(38, -22, 8, 8);
|
||||
|
||||
// Legs
|
||||
stroke(PALETTE.unicorn[0] - 40);
|
||||
strokeWeight(6);
|
||||
line(-20, 20, -20, 45);
|
||||
line(20, 20, 20, 45);
|
||||
|
||||
pop();
|
||||
}
|
||||
|
||||
function drawSparkles() {
|
||||
// Random sparkles around the unicorn when moving
|
||||
if (abs(targetX - unicornX) > 1 || abs(targetY - unicornY) > 1) {
|
||||
for (let i = 0; i < 3; i++) {
|
||||
let angle = random(TWO_PI);
|
||||
let r = random(20, 50);
|
||||
let sx = unicornX + cos(angle) * r;
|
||||
let sy = unicornY + sin(angle) * r;
|
||||
stroke(PALETTE.sparkle[0], PALETTE.sparkle[1], PALETTE.sparkle[2], 150);
|
||||
strokeWeight(2);
|
||||
point(sx, sy);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
function createCollectionBurst(x, y, hue) {
|
||||
// Burst of particles spiraling outward
|
||||
for (let i = 0; i < 20; i++) {
|
||||
let angle = random(TWO_PI);
|
||||
let speed = random(2, 6);
|
||||
particles.push({
|
||||
x: x,
|
||||
y: y,
|
||||
vx: cos(angle) * speed,
|
||||
vy: sin(angle) * speed,
|
||||
life: 60,
|
||||
color: `hsl(${hue + random(-20, 20)}, 90%, 70%)`,
|
||||
size: random(3, 6)
|
||||
});
|
||||
}
|
||||
// Bonus sparkle ring
|
||||
for (let i = 0; i < 12; i++) {
|
||||
let angle = random(TWO_PI);
|
||||
particles.push({
|
||||
x: x,
|
||||
y: y,
|
||||
vx: cos(angle) * 4,
|
||||
vy: sin(angle) * 4,
|
||||
life: 40,
|
||||
color: 'rgba(255, 215, 0, 0.9)',
|
||||
size: 4
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
function updateParticles() {
|
||||
for (let i = particles.length - 1; i >= 0; i--) {
|
||||
let p = particles[i];
|
||||
p.x += p.vx;
|
||||
p.y += p.vy;
|
||||
p.vy += 0.1; // gravity
|
||||
p.life--;
|
||||
p.vx *= 0.95;
|
||||
p.vy *= 0.95;
|
||||
if (p.life <= 0) {
|
||||
particles.splice(i, 1);
|
||||
continue;
|
||||
}
|
||||
push();
|
||||
stroke(p.color);
|
||||
strokeWeight(p.size);
|
||||
point(p.x, p.y);
|
||||
pop();
|
||||
}
|
||||
}
|
||||
|
||||
// Tap/click handler
|
||||
function mousePressed() {
|
||||
targetX = mouseX;
|
||||
targetY = mouseY;
|
||||
addPulseAt(targetX, targetY);
|
||||
}
|
||||
|
||||
function addTapHint() {
|
||||
// Pre-spawn some floating hint particles
|
||||
for (let i = 0; i < 5; i++) {
|
||||
particles.push({
|
||||
x: random(width),
|
||||
y: random(height),
|
||||
vx: random(-0.5, 0.5),
|
||||
vy: random(-0.5, 0.5),
|
||||
life: 200,
|
||||
color: 'rgba(233, 69, 96, 0.5)',
|
||||
size: 3
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
function addPulseAt(x, y) {
|
||||
// Expanding ring on tap
|
||||
for (let i = 0; i < 12; i++) {
|
||||
let angle = (TWO_PI / 12) * i;
|
||||
particles.push({
|
||||
x: x,
|
||||
y: y,
|
||||
vx: cos(angle) * 3,
|
||||
vy: sin(angle) * 3,
|
||||
life: 30,
|
||||
color: 'rgba(233, 69, 96, 0.7)',
|
||||
size: 3
|
||||
});
|
||||
}
|
||||
}
|
||||
@@ -1,32 +0,0 @@
|
||||
body {
|
||||
margin: 0;
|
||||
overflow: hidden;
|
||||
background: linear-gradient(to bottom, #1a1a2e, #16213e, #0f3460);
|
||||
font-family: 'Courier New', monospace;
|
||||
color: #e94560;
|
||||
}
|
||||
|
||||
#luna-container {
|
||||
position: fixed;
|
||||
top: 0;
|
||||
left: 0;
|
||||
width: 100vw;
|
||||
height: 100vh;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
}
|
||||
|
||||
#hud {
|
||||
position: fixed;
|
||||
top: 10px;
|
||||
left: 10px;
|
||||
background: rgba(0, 0, 0, 0.6);
|
||||
padding: 8px 12px;
|
||||
border-radius: 4px;
|
||||
font-size: 14px;
|
||||
z-index: 100;
|
||||
border: 1px solid #e94560;
|
||||
}
|
||||
|
||||
#score { font-weight: bold; }
|
||||
@@ -1,130 +0,0 @@
|
||||
# Fleet Operator Incentives & Partner Program
|
||||
|
||||
> Implements Fleet Epic IV: Human Capital & Incentives (Issue #987)
|
||||
> Closes #1003
|
||||
|
||||
## Overview
|
||||
|
||||
This specification defines the incentive structures, certification pathways, and partner program mechanics for operating and maintaining Timmy Fleet nodes. The goal is to build a distributed network of reliable, skilled operators who run fleet infrastructure with >99.5% uptime while maintaining low churn (<10% annually) and grow partner-sourced leads to >30% of total.
|
||||
|
||||
## Incentive Tiers
|
||||
|
||||
### Tier 1: Certified Operator (Entry)
|
||||
- **Eligibility**: Complete Operator Application, pass basic screening, attend training
|
||||
- **Compensation**:
|
||||
- Base stipend: $500/month per node
|
||||
- Uptime bonus: +$200/month for >99.5% fleet uptime
|
||||
- Response bonus: +$100/month for <15min average incident response
|
||||
- Churn rebate: -$250/month for early termination (first 6 months)
|
||||
- **Expectations**:
|
||||
- Monitor node health 24/7 via Timmy dashboard
|
||||
- Respond to alerts within 15 minutes
|
||||
- Perform weekly maintenance and monthly updates
|
||||
- Submit monthly ops report
|
||||
- **Benefits**: Access to operator community, training resources, priority support
|
||||
|
||||
### Tier 2: Senior Operator (Experienced)
|
||||
- **Eligibility**: 6+ months as Tier 1, >99.5% uptime average, zero major incidents
|
||||
- **Compensation**:
|
||||
- Base stipend: $800/month per node
|
||||
- Uptime bonus: +$400/month for >99.8% uptime
|
||||
- Mentorship stipend: +$150/month per junior operator mentored
|
||||
- Performance bonus: Quarterly bonus up to $500 based on metrics
|
||||
- **Expectations**:
|
||||
- Mentor 1-2 junior operators
|
||||
- Lead incident reviews
|
||||
- Contribute to runbook improvements
|
||||
- **Benefits**: Profit-sharing from referral bonuses, early access to new features
|
||||
|
||||
### Tier 3: Fleet Lead (Expert)
|
||||
- **Eligibility**: 12+ months, >99.9% uptime, successfully mentored 3+ operators
|
||||
- **Compensation**:
|
||||
- Base stipend: $1,200/month per node
|
||||
- Uptime bonus: +$600/month for >99.9% uptime
|
||||
- Team lead bonus: +$300/month for team performance
|
||||
- Revenue share: 2% of partner program revenue from region
|
||||
- **Expectations**:
|
||||
- Own regional cluster of nodes
|
||||
- Coordinate multi-node deployments
|
||||
- Interface with Timmy core team on roadmap
|
||||
- **Benefits**: Equity eligibility, governance rights, speaking opportunities
|
||||
|
||||
## Partner Program
|
||||
|
||||
### Partner Tiers
|
||||
|
||||
#### Bronze Partner (Referral)
|
||||
- Commission: 10% of first-year operator revenue from referred leads
|
||||
- Requirements:
|
||||
- Sign partner agreement
|
||||
- Refer 3+ qualified candidates annually
|
||||
- Maintain active engagement in partner channel
|
||||
|
||||
#### Silver Partner (Channel)
|
||||
- Commission: 15% of first-year operator revenue + 5% ongoing
|
||||
- Requirements:
|
||||
- Onboard and train at least 5 operators
|
||||
- Provide monthly partner report
|
||||
- Maintain >80% operator retention rate
|
||||
|
||||
#### Gold Partner (Strategic)
|
||||
- Commission: 20% first-year + 7% ongoing + co-marketing funds
|
||||
- Requirements:
|
||||
- Operate fleet of 10+ nodes
|
||||
- Contribute to product roadmap
|
||||
- Host local meetups/training sessions
|
||||
|
||||
### Partner Benefits
|
||||
- Access to exclusive operator training materials
|
||||
- Early beta program participation
|
||||
- Co-marketing and case study opportunities
|
||||
- Dedicated partner portal and revenue dashboard
|
||||
|
||||
## Certification Pathway
|
||||
|
||||
### Stage 1: Application & Screening
|
||||
1. Submit Operator Application (see `templates/operator-application.md`)
|
||||
2. Technical interview (30 min)
|
||||
3. Infrastructure audit (existing hardware/network)
|
||||
4. Background check (optional but preferred)
|
||||
**Timeline**: 3-5 business days
|
||||
|
||||
### Stage 2: Training & Onboarding
|
||||
1. Complete Fleet Ops 101 module (2 hours self-paced)
|
||||
2. Shadow a senior operator (2 weeks)
|
||||
3. Deploy test node (sandbox environment)
|
||||
4. Pass certification exam (90%+ score)
|
||||
**Timeline**: 2-3 weeks
|
||||
|
||||
### Stage 3: Active Operation
|
||||
- Deploy first production node
|
||||
- Maintain >99.5% uptime for first 30 days
|
||||
- Submit initial monthly ops report
|
||||
**Timeline**: 30 days probation
|
||||
|
||||
### Certification Renewal
|
||||
- Quarterly review of metrics
|
||||
- Annual recertification exam
|
||||
- Continuous training requirement (4 hours/month)
|
||||
|
||||
## Success Metrics (6-month targets)
|
||||
|
||||
| Metric | Target | Measurement |
|
||||
|--------|--------|-------------|
|
||||
| Active certified operators | 3-5 | Dashboard |
|
||||
| Operator churn | <10% annually | HR records |
|
||||
| Fleet uptime | >99.5% | Monitoring systems |
|
||||
| Partner channel leads | >30% of total | CRM data |
|
||||
|
||||
## Runbook
|
||||
|
||||
See companion document: `specs/fleet-ops-runbook.md` for operational procedures, escalation paths, and incident response protocols.
|
||||
|
||||
## Templates
|
||||
|
||||
- **Operator Application**: `templates/operator-application.md`
|
||||
- **Partner Report**: `templates/partner-report.md`
|
||||
|
||||
## Revision History
|
||||
|
||||
- 2025-05-02: Initial specification (implements #987, closes #1003)
|
||||
@@ -1,291 +0,0 @@
|
||||
# Fleet Operations Runbook
|
||||
|
||||
> Fleet Operator Incentives & Partner Program — Operational Procedures
|
||||
> Implements #987 | Closes #1003
|
||||
|
||||
## Table of Contents
|
||||
|
||||
1. [Daily Ops Checklist](#daily-ops-checklist)
|
||||
2. [Weekly Maintenance](#weekly-maintenance)
|
||||
3. [Monthly Responsibilities](#monthly-responsibilities)
|
||||
4. [Incident Response](#incident-response)
|
||||
5. [Escalation Paths](#escalation-paths)
|
||||
6. [Communication Protocols](#communication-protocols)
|
||||
7. [Node Deployment](#node-deployment)
|
||||
8. [Compliance & Reporting](#compliance--reporting)
|
||||
|
||||
---
|
||||
|
||||
## Daily Ops Checklist
|
||||
|
||||
### Health Monitoring
|
||||
- [ ] Review Timmy Dashboard for all owned nodes
|
||||
- [ ] Check alert feed (PagerDuty/OpsGenie) for any pending incidents
|
||||
- [ ] Verify node heartbeats (expect >99.5% uptime)
|
||||
- [ ] Confirm backup systems are running (if applicable)
|
||||
|
||||
### Incident Response (if alerts triggered)
|
||||
- See [Incident Response](#incident-response) section
|
||||
- Acknowledge alert within 15 minutes (Tier 1 SLA)
|
||||
- Begin triage within 30 minutes
|
||||
|
||||
### Logs Review
|
||||
- Scan error logs for recurring patterns
|
||||
- Flag any anomalies for weekly review
|
||||
|
||||
### Documentation Updates
|
||||
- Note any operational findings in daily log
|
||||
|
||||
---
|
||||
|
||||
## Weekly Maintenance
|
||||
|
||||
### Scheduled Tasks (Every Monday)
|
||||
1. **System Updates**
|
||||
- Apply security patches (critical only)
|
||||
- Review and schedule non-critical updates for maintenance window
|
||||
|
||||
2. **Performance Review**
|
||||
- Analyze resource utilization trends
|
||||
- Identify capacity constraints
|
||||
- Plan for scaling if needed
|
||||
|
||||
3. **Backup Verification**
|
||||
- Confirm latest backups completed successfully
|
||||
- Test restore from backup (monthly, see below)
|
||||
|
||||
4. **Runbook Updates**
|
||||
- Document any new procedures learned
|
||||
- Suggest runbook improvements to Fleet Lead
|
||||
|
||||
5. **Team Sync**
|
||||
- Attend weekly operator stand-up (30 min)
|
||||
- Share status, blockers, learnings
|
||||
|
||||
---
|
||||
|
||||
## Monthly Responsibilities
|
||||
|
||||
### Month-End Reporting
|
||||
Due by the 5th of each month for prior month:
|
||||
|
||||
1. **Ops Report** (use `templates/partner-report.md` format)
|
||||
- Uptime metrics per node
|
||||
- Incident summary and resolutions
|
||||
- Training completed
|
||||
- Recommendations
|
||||
|
||||
2. **Financial Reconciliation**
|
||||
- Verify incentive payments received
|
||||
- Report discrepancies to Finance
|
||||
|
||||
3. **Compliance Audit**
|
||||
- Confirm certification requirements met
|
||||
- Document any deviations and corrective actions
|
||||
|
||||
### Deep Maintenance
|
||||
- Full system backup and restore test
|
||||
- Security audit review
|
||||
- Hardware inspection (if physical nodes)
|
||||
- Training module completion (minimum 4 hours/month)
|
||||
|
||||
---
|
||||
|
||||
## Incident Response
|
||||
|
||||
### Severity Definitions
|
||||
|
||||
| Severity | Definition | Response Time | Resolution Target |
|
||||
|----------|------------|---------------|-------------------|
|
||||
| P0 | Fleet-wide outage, no nodes operational | 15 minutes | 4 hours |
|
||||
| P1 | Region/node cluster outage, >50% down | 30 minutes | 8 hours |
|
||||
| P2 | Single node failure | 1 hour | 24 hours |
|
||||
| P3 | Degraded performance, not critical | 4 hours | 3 days |
|
||||
|
||||
### Response Procedure
|
||||
|
||||
#### P0/P1 Incidents
|
||||
1. Acknowledge alert immediately
|
||||
2. Declare incident in `#fleet-incidents` Slack channel
|
||||
3. Notify Fleet Lead (direct message/call)
|
||||
4. Execute recovery procedures from relevant playbook
|
||||
5. Document timeline and actions taken
|
||||
6. Schedule post-mortem within 48 hours
|
||||
|
||||
#### P2 Incidents
|
||||
1. Acknowledge within 1 hour
|
||||
2. Open incident ticket in tracking system
|
||||
3. Follow single-node recovery playbook
|
||||
4. Report resolution in daily ops log
|
||||
|
||||
#### P3 Incidents
|
||||
1. Log in issue tracker
|
||||
2. Schedule during next maintenance window
|
||||
3. Document resolution upon completion
|
||||
|
||||
### Recovery Playbooks
|
||||
|
||||
#### Node Restart (most common P2)
|
||||
1. SSH to node (or use remote management)
|
||||
2. Check system logs (`/var/log/timmy/fleet.log`)
|
||||
3. Restart service: `sudo systemctl restart timmy-fleet`
|
||||
4. Verify node rejoins cluster
|
||||
5. Monitor for 30 minutes post-recovery
|
||||
|
||||
#### Network Partition
|
||||
1. Verify network connectivity (ping, traceroute)
|
||||
2. Check firewall rules
|
||||
3. Contact network provider if external
|
||||
4. Switch to backup connection if available
|
||||
5. Document root cause
|
||||
|
||||
#### Storage Full
|
||||
1. Identify large directories (`du -sh /* | sort -hr`)
|
||||
2. Rotate logs: `sudo logrotate -f /etc/logrotate.d/timmy`
|
||||
3. Clean temporary files
|
||||
4. Expand storage or add new volume
|
||||
5. Alert Fleet Lead for capacity planning
|
||||
|
||||
---
|
||||
|
||||
## Escalation Paths
|
||||
|
||||
### Tiered Support Model
|
||||
|
||||
```
|
||||
Operator (Tier 1)
|
||||
↓ (15 min SLA)
|
||||
Senior Operator / Fleet Lead (Tier 2)
|
||||
↓ (1 hour SLA)
|
||||
Timmy Core Team (Tier 3)
|
||||
↓ (Immediate)
|
||||
Executive Sponsor (Critical only)
|
||||
```
|
||||
|
||||
### Contact Matrix
|
||||
|
||||
| Issue Type | Primary Contact | Secondary |
|
||||
|------------|----------------|-----------|
|
||||
| Technical incident | Fleet Lead | Timmy Core |
|
||||
| Payment/incentive | Finance Partner | Fleet Lead |
|
||||
| Training/certification | Training Coordinator | Fleet Lead |
|
||||
| Partnership inquiry | Partner Manager | Executive Sponsor |
|
||||
| Security incident | Security Team | Timmy Core (immediate) |
|
||||
|
||||
### Emergency Contacts
|
||||
- Fleet Lead: `fleet-lead@timmy.foundation` (Slack: @fleet-lead)
|
||||
- Timmy Core On-Call: `oncall@timmy.foundation` (PagerDuty)
|
||||
- Security: `security@timmy.foundation`
|
||||
- Finance: `finance@timmy.foundation`
|
||||
|
||||
---
|
||||
|
||||
## Communication Protocols
|
||||
|
||||
### Channels
|
||||
- `#fleet-operators` — Daily ops, questions
|
||||
- `#fleet-incidents` — Active incidents only
|
||||
- `#fleet-training` — Training resources, scheduling
|
||||
- `#fleet-partners` — Partner program discussions
|
||||
|
||||
### Status Updates
|
||||
- Daily: Stand-up notes in thread
|
||||
- Weekly: Summary post in `#fleet-operators`
|
||||
- Monthly: Ops report submission
|
||||
- Incident: Real-time updates in `#fleet-incidents`
|
||||
|
||||
### Documentation Standards
|
||||
- Use clear, concise language
|
||||
- Include timestamps in UTC
|
||||
- Link to relevant tickets/PRs
|
||||
- Tag stakeholders with `@`
|
||||
|
||||
---
|
||||
|
||||
## Node Deployment
|
||||
|
||||
### Pre-Deployment Checklist
|
||||
- [ ] Hardware meets minimum specs (CPU, RAM, storage)
|
||||
- [ ] Network connectivity validated
|
||||
- [ ] Firewall rules configured
|
||||
- [ ] SSH keys exchanged with Timmy core team
|
||||
- [ ] Monitoring agent installed
|
||||
- [ ] Backup solution active
|
||||
- [ ] Documentation updated with node details
|
||||
|
||||
### Deployment Steps
|
||||
1. Provision hardware/VM
|
||||
2. Install Timmy Fleet software
|
||||
3. Configure node ID and credentials
|
||||
4. Join cluster via `timmy-fleet join <cluster-endpoint>`
|
||||
5. Validate connectivity and heartbeat
|
||||
6. Update inventory spreadsheet
|
||||
7. Set up monitoring alerts
|
||||
8. Complete handover to operator
|
||||
|
||||
### Decommissioning
|
||||
1. Drain node from cluster
|
||||
2. Migrate workloads
|
||||
3. Backup final state
|
||||
4. Shut down cleanly
|
||||
5. Update inventory
|
||||
6. Notify relevant teams
|
||||
|
||||
---
|
||||
|
||||
## Compliance & Reporting
|
||||
|
||||
### Metrics to Track
|
||||
- Uptime (node-level and fleet-wide)
|
||||
- Incident count and severity
|
||||
- Response and resolution times
|
||||
- Training hours completed
|
||||
- Payment/compensation accuracy
|
||||
|
||||
### Reporting Cadence
|
||||
- **Daily**: Ops dashboard (automated)
|
||||
- **Weekly**: Status summary (operator)
|
||||
- **Monthly**: Partner report (template-driven)
|
||||
- **Quarterly**: Performance review with Fleet Lead
|
||||
|
||||
### Audits
|
||||
- Quarterly internal audit by Timmy compliance team
|
||||
- Annual external certification renewal
|
||||
- Ad-hoc security reviews as needed
|
||||
|
||||
---
|
||||
|
||||
## Appendix: Resources
|
||||
|
||||
### Useful Commands
|
||||
```bash
|
||||
# Check service status
|
||||
sudo systemctl status timmy-fleet
|
||||
|
||||
# View logs
|
||||
journalctl -u timmy-fleet -f
|
||||
|
||||
# Restart node
|
||||
sudo systemctl restart timmy-fleet
|
||||
|
||||
# Check node health
|
||||
timmy-fleet health
|
||||
|
||||
# Join cluster
|
||||
timmy-fleet join <cluster-endpoint>
|
||||
```
|
||||
|
||||
### Key Files
|
||||
- Config: `/etc/timmy/fleet/config.yaml`
|
||||
- Logs: `/var/log/timmy/fleet.log`
|
||||
- Health data: `/var/lib/timmy/fleet/health.json`
|
||||
|
||||
### Support Resources
|
||||
- Internal Wiki: `https://wiki.timmy.foundation/fleet`
|
||||
- Operator Portal: `https://fleet.timmy.foundation`
|
||||
- Training Videos: `https://learn.timmy.foundation/fleet-ops`
|
||||
|
||||
---
|
||||
|
||||
**Last Updated**: 2025-05-02
|
||||
**Next Review**: 2025-06-02
|
||||
@@ -1,143 +0,0 @@
|
||||
# Fleet Operator Application
|
||||
|
||||
> {{APPLICATION_DATE}}
|
||||
> Candidate: {{CANDIDATE_NAME}}
|
||||
|
||||
## Contact Information
|
||||
|
||||
**Full Name**: {{CANDIDATE_FULL_NAME}}
|
||||
**Email**: {{CANDIDATE_EMAIL}}
|
||||
**Phone**: {{CANDIDATE_PHONE}}
|
||||
**Location**: {{CANDIDATE_LOCATION}}
|
||||
**Time Zone**: {{CANDIDATE_TIMEZONE}}
|
||||
|
||||
### Availability
|
||||
- **Hours per week**: {{AVAILABILITY_HOURS}}
|
||||
- **Primary availability window (UTC)**: {{AVAILABILITY_WINDOW}}
|
||||
- **On-call flexibility**: {{ONCALL_FLEXIBILITY}}
|
||||
|
||||
## Technical Qualifications
|
||||
|
||||
### Experience
|
||||
```
|
||||
Years in IT/DevOps: {{YEARS_EXPERIENCE}}
|
||||
Relevant roles:
|
||||
{{ROLE_HISTORY}}
|
||||
```
|
||||
|
||||
### Skills (check all that apply)
|
||||
- [ ] Linux system administration
|
||||
- [ ] Container orchestration (Kubernetes/Docker)
|
||||
- [ ] Cloud infrastructure (AWS/GCP/Azure)
|
||||
- [ ] Networking fundamentals
|
||||
- [ ] Monitoring & alerting (Prometheus/Grafana)
|
||||
- [ ] Incident response/ITIL
|
||||
- [ ] Security best practices
|
||||
- [ ] Automation (Ansible/Terraform)
|
||||
- [ ] Scripting (Python/Bash/Go)
|
||||
- [ ] Timmy platform experience
|
||||
|
||||
**Additional skills**: {{ADDITIONAL_SKILLS}}
|
||||
|
||||
### Certifications
|
||||
{{CERTIFICATIONS}}
|
||||
|
||||
## Infrastructure Readiness
|
||||
|
||||
### Proposed Node Environment
|
||||
- **Type**: ☐ Physical ☐ Cloud VM ☐ Hybrid
|
||||
- **Provider**: {{CLOUD_PROVIDER}}
|
||||
- **Region**: {{REGION}}
|
||||
- **Hardware specs**:
|
||||
- CPU: {{CPU_SPEC}}
|
||||
- RAM: {{RAM_SPEC}}
|
||||
- Storage: {{STORAGE_SPEC}}
|
||||
- Network: {{NETWORK_SPEC}}
|
||||
|
||||
### Redundancy & HA
|
||||
- [ ] Backup power (UPS/generator)
|
||||
- [ ] Secondary internet connection
|
||||
- [ ] Off-site backup solution
|
||||
- [ ] Remote management (IPMI/iDRAC)
|
||||
|
||||
### Connectivity
|
||||
- **Bandwidth**: {{BANDWIDTH}} Mbps
|
||||
- **Latency to Timmy core**: {{LATENCY}} ms
|
||||
- **Uptime SLA**: {{UPTIME_SLA}}
|
||||
|
||||
---
|
||||
|
||||
## Motivation & Alignment
|
||||
|
||||
### Why do you want to run a Timmy Fleet node?
|
||||
{{MOTIVATION}}
|
||||
|
||||
### What attracts you to decentralized infrastructure?
|
||||
{{DECENTRALIZATION_MOTIVATION}}
|
||||
|
||||
### How does this align with your long-term goals?
|
||||
{{LONG_TERM_GOALS}}
|
||||
|
||||
---
|
||||
|
||||
## Partner Program Interest (Optional)
|
||||
|
||||
### Interested in?
|
||||
- [ ] Referral partner (refer operators, earn commission)
|
||||
- [ ] Channel partner (onboard and train operators)
|
||||
- [ ] Strategic partner (run fleet of 10+ nodes)
|
||||
|
||||
### Existing network
|
||||
{{PARTNER_NETWORK}}
|
||||
|
||||
### Referral pipeline
|
||||
{{REFERRAL_PIPELINE}}
|
||||
|
||||
---
|
||||
|
||||
## References
|
||||
|
||||
### Professional References
|
||||
1. Name: {{REF1_NAME}}
|
||||
Email: {{REF1_EMAIL}}
|
||||
Relationship: {{REF1_RELATION}}
|
||||
|
||||
2. Name: {{REF2_NAME}}
|
||||
Email: {{REF2_EMAIL}}
|
||||
Relationship: {{REF2_RELATION}}
|
||||
|
||||
### Timmy Community Involvement
|
||||
{{COMMUNITY_INVOLVEMENT}}
|
||||
|
||||
---
|
||||
|
||||
## Agreement & Signatures
|
||||
|
||||
### Code of Conduct
|
||||
- [ ] I have read and agree to the Timmy Fleet Operator Code of Conduct
|
||||
- [ ] I understand the uptime and response time requirements
|
||||
- [ ] I agree to the incentive structure and terms
|
||||
|
||||
### Signature
|
||||
**Candidate signature**: ___________________________
|
||||
**Date**: {{SIGNATURE_DATE}}
|
||||
|
||||
**Timmy representative**: ___________________________
|
||||
**Date**: {{TIMPY_SIGN_DATE}}
|
||||
|
||||
---
|
||||
|
||||
## Internal Use Only
|
||||
|
||||
**Interviewer**: {{INTERVIEWER}}
|
||||
**Technical score**: {{TECH_SCORE}}/100
|
||||
**Culture fit**: {{CULTURE_FIT}}/50
|
||||
**Infrastructure audit**: ☐ Pass ☐ Fail
|
||||
**Background check**: ☐ Complete ☐ In-progress
|
||||
|
||||
**Decision**: ☐ Approved ☐ Rejected ☐ Waitlist
|
||||
|
||||
**Comments**: {{INTERNAL_COMMENTS}}
|
||||
|
||||
**Certification ID**: {{CERT_ID}}
|
||||
**Onboarding start date**: {{ONBOARDING_DATE}}
|
||||
@@ -1,175 +0,0 @@
|
||||
# Fleet Partner Monthly Report
|
||||
|
||||
> {{REPORT_MONTH}} {{REPORT_YEAR}}
|
||||
> Partner: {{PARTNER_NAME}} ({{PARTNER_TIER}})
|
||||
> Submitted: {{SUBMISSION_DATE}}
|
||||
|
||||
## Executive Summary
|
||||
|
||||
| Metric | Current Month | Target | Variance |
|
||||
|--------|---------------|--------|----------|
|
||||
| Active nodes managed | {{ACTIVE_NODES}} | {{TARGET_NODES}} | {{NODES_VARIANCE}} |
|
||||
| Fleet uptime | {{UPTIME}}% | 99.5% | {{UPTIME_VARIANCE}}% |
|
||||
| Operator churn rate | {{CHURN_RATE}}% | <10% | {{CHURN_VARIANCE}}% |
|
||||
| Partner-sourced leads | {{LEADS_COUNT}} | {{LEADS_TARGET}} | {{LEADS_VARIANCE}} |
|
||||
| Revenue share earned | {{REVENUE}} | — | — |
|
||||
|
||||
**Key highlights**:
|
||||
{{KEY_HIGHLIGHTS}}
|
||||
|
||||
**Top concerns**:
|
||||
{{KEY_CONCERNS}}
|
||||
|
||||
---
|
||||
|
||||
## Node Performance
|
||||
|
||||
### Node Inventory
|
||||
|
||||
| Node ID | Location | Status | Uptime (30d) | Revenue Share | Issues |
|
||||
|---------|----------|--------|--------------|---------------|---------|
|
||||
| {{NODE_1_ID}} | {{NODE_1_LOC}} | {{NODE_1_STATUS}} | {{NODE_1_UPTIME}}% | ${{NODE_1_REV}} | {{NODE_1_ISSUES}} |
|
||||
| {{NODE_2_ID}} | {{NODE_2_LOC}} | {{NODE_2_STATUS}} | {{NODE_2_UPTIME}}% | ${{NODE_2_REV}} | {{NODE_2_ISSUES}} |
|
||||
| {{NODE_3_ID}} | {{NODE_3_LOC}} | {{NODE_3_STATUS}} | {{NODE_3_UPTIME}}% | ${{NODE_3_REV}} | {{NODE_3_ISSUES}} |
|
||||
|
||||
*Add rows as needed*
|
||||
|
||||
### Top Node Performers
|
||||
1. **{{TOP_NODE_1_ID}}**: {{TOP_NODE_1_UPTIME}}% uptime, zero incidents
|
||||
2. **{{TOP_NODE_2_ID}}**: {{TOP_NODE_2_UPTIME}}% uptime, quickest response times
|
||||
|
||||
### Nodes Requiring Attention
|
||||
1. **{{ATTN_NODE_1_ID}}**: {{ATTN_NODE_1_ISSUE}}
|
||||
2. **{{ATTN_NODE_2_ID}}**: {{ATTN_NODE_2_ISSUE}}
|
||||
|
||||
---
|
||||
|
||||
## Incidents & Resolutions
|
||||
|
||||
### Incident Log
|
||||
|
||||
| Date | Severity | Node(s) | Duration | Root Cause | Resolution |
|
||||
|------|----------|---------|----------|------------|------------|
|
||||
| {{INC1_DATE}} | {{INC1_SEV}} | {{INC1_NODES}} | {{INC1_DURATION}} | {{INC1_CAUSE}} | {{INC1_RES}} |
|
||||
| {{INC2_DATE}} | {{INC2_SEV}} | {{INC2_NODES}} | {{INC2_DURATION}} | {{INC2_CAUSE}} | {{INC2_RES}} |
|
||||
| {{INC3_DATE}} | {{INC3_SEV}} | {{INC3_NODES}} | {{INC3_DURATION}} | {{INC3_CAUSE}} | {{INC3_RES}} |
|
||||
|
||||
*Add rows as needed*
|
||||
|
||||
### Mean Time to Recovery (MTTR)
|
||||
- **P0 incidents**: {{MTTR_P0}} hours
|
||||
- **P1 incidents**: {{MTTR_P1}} hours
|
||||
- **P2 incidents**: {{MTTR_P2}} hours
|
||||
- **P3 incidents**: {{MTTR_P3}} hours
|
||||
|
||||
**Improvement opportunities**:
|
||||
{{MTTR_IMPROVEMENTS}}
|
||||
|
||||
---
|
||||
|
||||
## Operator Management
|
||||
|
||||
### Active Operators
|
||||
|
||||
| Operator | Tier | Nodes Managed | Status | Cert Date |
|
||||
|----------|------|---------------|--------|-----------|
|
||||
| {{OP1_NAME}} | {{OP1_TIER}} | {{OP1_NODES}} | {{OP1_STATUS}} | {{OP1_CERT}} |
|
||||
| {{OP2_NAME}} | {{OP2_TIER}} | {{OP2_NODES}} | {{OP2_STATUS}} | {{OP2_CERT}} |
|
||||
|
||||
### Churn / Attrition
|
||||
- **Departed operators**: {{DEPARTED_COUNT}}
|
||||
- **Departure reasons**: {{DEPARTURE_REASONS}}
|
||||
- **Retention initiatives**: {{RETENTION_INITIATIVES}}
|
||||
|
||||
### Training & Certification
|
||||
- **New certifications**: {{NEW_CERTS}}
|
||||
- **Training hours logged**: {{TRAINING_HOURS}}
|
||||
- **Upcoming recertifications**: {{UPCOMING_RECERTS}}
|
||||
|
||||
---
|
||||
|
||||
## Partner Program Metrics
|
||||
|
||||
### Lead Generation
|
||||
- **Total leads received**: {{TOTAL_LEADS}}
|
||||
- **Qualified leads**: {{QUALIFIED_LEADS}}
|
||||
- **Converted to operators**: {{CONVERTED_OPERATORS}}
|
||||
- **Conversion rate**: {{CONVERSION_RATE}}%
|
||||
- **Partner contribution to total pipeline**: {{PARTNER_PIPELINE_PERCENT}}%
|
||||
|
||||
### Referral Commission
|
||||
- **Referral fee earned**: ${{REFERRAL_FEE}}
|
||||
- **Ongoing revenue share**: ${{ONGOING_SHARE}}
|
||||
- **Total YTD earnings**: ${{YTD_EARNINGS}}
|
||||
|
||||
### Partner Activity
|
||||
- **Marketing events hosted**: {{EVENTS_HOSTED}}
|
||||
- **Training sessions conducted**: {{TRAINING_SESSIONS}}
|
||||
- **Community engagement posts**: {{COMMUNITY_POSTS}}
|
||||
- **Collateral created**: {{COLLATERAL}}
|
||||
|
||||
---
|
||||
|
||||
## Financial Summary
|
||||
|
||||
### Incentive Payouts
|
||||
| Category | Amount | Notes |
|
||||
|----------|--------|-------|
|
||||
| Operator stipends | ${{STIPENDS}} | {{STIPENDS_NOTES}} |
|
||||
| Uptime bonuses | ${{UPTIME_BONUS}} | {{UPTIME_NOTES}} |
|
||||
| Mentorship bonuses | ${{MENTOR_BONUS}} | {{MENTOR_NOTES}} |
|
||||
| Performance bonuses | ${{PERF_BONUS}} | {{PERF_NOTES}} |
|
||||
| Partner commissions | ${{PARTNER_COMM}} | {{PARTNER_NOTES}} |
|
||||
|
||||
**Total payout this month**: ${{TOTAL_PAYOUT}}
|
||||
|
||||
### Cost Efficiency
|
||||
- **Cost per node**: ${{COST_PER_NODE}}
|
||||
- **Cost per uptime hour**: ${{COST_PER_UPTIME_HOUR}}
|
||||
- **Efficiency rating**: {{EFFICIENCY_RATING}}/10
|
||||
|
||||
---
|
||||
|
||||
## Goals & Objectives
|
||||
|
||||
### Next Month Targets
|
||||
1. **Uptime**: {{NEXT_UPTIME_TARGET}}%
|
||||
2. **Qualified leads**: {{NEXT_LEADS_TARGET}}
|
||||
3. **New operators**: {{NEXT_OPS_TARGET}}
|
||||
4. **Incident reduction**: {{NEXT_INCIDENT_TARGET}} incidents
|
||||
|
||||
### Priority Initiatives
|
||||
- {{PRIORITY_1}}
|
||||
- {{PRIORITY_2}}
|
||||
- {{PRIORITY_3}}
|
||||
|
||||
### Support Needed
|
||||
- {{SUPPORT_NEEDED_1}}
|
||||
- {{SUPPORT_NEEDED_2}}
|
||||
|
||||
---
|
||||
|
||||
## Attestation
|
||||
|
||||
By submitting this report, I certify that the information provided is accurate and complete to the best of my knowledge.
|
||||
|
||||
**Submitted by**: {{SUBMITTER_NAME}}
|
||||
**Title**: {{SUBMITTER_TITLE}}
|
||||
**Signature**: ___________________________
|
||||
**Date**: {{SUBMISSION_DATE}}
|
||||
|
||||
**Approved by** (Timmy Core): {{APPROVER_NAME}}
|
||||
**Date**: {{APPROVAL_DATE}}
|
||||
|
||||
---
|
||||
|
||||
## Appendix
|
||||
|
||||
### Supporting Documents
|
||||
- [ ] Ops dashboard screenshots attached
|
||||
- [ ] Incident post-mortems attached
|
||||
- [ ] Training completion records attached
|
||||
- [ ] Financial reconciliation attached
|
||||
|
||||
### Notes
|
||||
{{APPENDIX_NOTES}}
|
||||
@@ -1,84 +1,123 @@
|
||||
"""
|
||||
Test that the hermes-agent GENOME.md exists and contains required sections.
|
||||
|
||||
Issue #668 — Codebase Genome: hermes-agent — Full Analysis
|
||||
"""
|
||||
from pathlib import Path
|
||||
|
||||
GENOME = Path('GENOME.md')
|
||||
|
||||
|
||||
def read_genome() -> str:
|
||||
assert GENOME.exists(), 'GENOME.md must exist at repo root'
|
||||
return GENOME.read_text(encoding='utf-8')
|
||||
GENOME = Path(__file__).parent.parent / "genomes" / "hermes-agent-GENOME.md"
|
||||
|
||||
|
||||
def test_genome_exists():
|
||||
assert GENOME.exists(), 'GENOME.md must exist at repo root'
|
||||
"""GENOME.md must exist at genomes/hermes-agent-GENOME.md."""
|
||||
assert GENOME.exists(), f"missing genome: {GENOME}"
|
||||
|
||||
|
||||
def test_genome_has_required_sections():
|
||||
text = read_genome()
|
||||
for heading in [
|
||||
'# GENOME.md — hermes-agent',
|
||||
'## Project Overview',
|
||||
'## Architecture Diagram',
|
||||
'## Entry Points and Data Flow',
|
||||
'## Key Abstractions',
|
||||
'## API Surface',
|
||||
'## Test Coverage Gaps',
|
||||
'## Security Considerations',
|
||||
'## Performance Characteristics',
|
||||
'## Critical Modules to Name Explicitly',
|
||||
]:
|
||||
assert heading in text
|
||||
"""All major sections must be present."""
|
||||
text = GENOME.read_text(encoding="utf-8")
|
||||
required = [
|
||||
"# GENOME.md — hermes-agent",
|
||||
"## Project Overview",
|
||||
"## Architecture",
|
||||
"## Entry Points",
|
||||
"## Data Flow",
|
||||
"## Key Abstractions",
|
||||
"## API Surface",
|
||||
"## Test Coverage Gaps",
|
||||
"## Security Considerations",
|
||||
"## Dependencies",
|
||||
"## Deployment",
|
||||
]
|
||||
missing = [s for s in required if s not in text]
|
||||
assert not missing, f"Missing sections: {missing}"
|
||||
|
||||
|
||||
def test_genome_contains_mermaid_diagram():
|
||||
text = read_genome()
|
||||
assert '```mermaid' in text
|
||||
assert 'flowchart TD' in text
|
||||
def test_genome_architecture_diagram():
|
||||
"""Must contain a Mermaid architecture diagram."""
|
||||
text = GENOME.read_text()
|
||||
assert "```mermaid" in text, "no mermaid code block"
|
||||
assert "graph TD" in text or "graph LR" in text, "no graph definition"
|
||||
required_nodes = ["AIAgent", "MemoryProvider", "Tool", "Cron", "Gateway", "Session"]
|
||||
for node in required_nodes:
|
||||
assert node in text, f"architecture diagram missing node: {node}"
|
||||
|
||||
|
||||
def test_genome_mentions_control_plane_modules():
|
||||
text = read_genome()
|
||||
for token in [
|
||||
'run_agent.py',
|
||||
'model_tools.py',
|
||||
'tools/registry.py',
|
||||
'toolsets.py',
|
||||
'cli.py',
|
||||
'hermes_cli/main.py',
|
||||
'hermes_state.py',
|
||||
'gateway/run.py',
|
||||
'acp_adapter/server.py',
|
||||
'cron/scheduler.py',
|
||||
]:
|
||||
assert token in text
|
||||
def test_genome_mentions_core_modules():
|
||||
"""Must explicitly name key source files and modules."""
|
||||
text = GENOME.read_text()
|
||||
required = [
|
||||
"run_agent.py",
|
||||
"agent/input_sanitizer.py",
|
||||
"agent/memory_manager.py",
|
||||
"agent/prompt_builder.py",
|
||||
"agent/trajectory.py",
|
||||
"gateway/session.py",
|
||||
"gateway/delivery.py",
|
||||
"cron/scheduler.py",
|
||||
"tools/terminal_tool.py",
|
||||
"skills/",
|
||||
"hermes_state.py",
|
||||
]
|
||||
missing = [f for f in required if f not in text]
|
||||
assert not missing, f"Missing file references: {missing}"
|
||||
|
||||
|
||||
def test_genome_mentions_test_gap_and_collection_findings():
|
||||
text = read_genome()
|
||||
for token in [
|
||||
'11,470 tests collected',
|
||||
'6 collection errors',
|
||||
'ModuleNotFoundError: No module named `acp`',
|
||||
'trajectory_compressor.py',
|
||||
'batch_runner.py',
|
||||
]:
|
||||
assert token in text
|
||||
def test_genome_mentions_tool_names():
|
||||
"""Must list core tool names."""
|
||||
text = GENOME.read_text()
|
||||
tools = [
|
||||
"terminal_tool",
|
||||
"web_search_tool",
|
||||
"browser_navigate",
|
||||
"read_file",
|
||||
"write_file",
|
||||
"execute_code",
|
||||
"delegate_task",
|
||||
"session_search",
|
||||
]
|
||||
missing = [t for t in tools if t not in text]
|
||||
assert not missing, f"Missing tool names: {missing}"
|
||||
|
||||
|
||||
def test_genome_mentions_security_and_performance_layers():
|
||||
text = read_genome()
|
||||
for token in [
|
||||
'prompt_builder.py',
|
||||
'approval.py',
|
||||
'file_tools.py',
|
||||
'mcp_tool.py',
|
||||
'WAL mode',
|
||||
'prompt caching',
|
||||
'context compression',
|
||||
'parallel tool execution',
|
||||
]:
|
||||
assert token in text
|
||||
def test_genome_security_findings():
|
||||
"""Must document security considerations."""
|
||||
text = GENOME.read_text()
|
||||
assert "Security Considerations" in text
|
||||
assert "jailbreak" in text.lower()
|
||||
assert "PII" in text or "personally identifiable" in text.lower()
|
||||
assert "credential" in text.lower()
|
||||
|
||||
|
||||
def test_genome_is_substantial():
|
||||
text = read_genome()
|
||||
assert len(text) >= 10000
|
||||
def test_genome_test_coverage_gaps():
|
||||
"""Must identify specific missing tests."""
|
||||
text = GENOME.read_text()
|
||||
assert "Test Coverage Gaps" in text
|
||||
assert "AIAgent orchestration" in text
|
||||
assert "gateway" in text.lower()
|
||||
assert "cron" in text.lower()
|
||||
|
||||
|
||||
def test_genome_not_a_stub():
|
||||
"""GENOME.md must be substantial (>10KB)."""
|
||||
size = GENOME.stat().st_size
|
||||
assert size >= 10_000, f"GENOME.md appears to be a stub ({size} bytes < 10K)"
|
||||
|
||||
|
||||
def test_genome_language():
|
||||
"""Must be written in English."""
|
||||
text = GENOME.read_text()
|
||||
english_markers = ["the", "and", "orchestrator", "module", "function"]
|
||||
found = [m for m in english_markers if m in text.lower()]
|
||||
assert len(found) >= 4, "GENOME.md does not appear to be in English"
|
||||
|
||||
|
||||
def test_genome_entry_points_complete():
|
||||
"""Entry points section must name all major executables."""
|
||||
text = GENOME.read_text()
|
||||
assert "run_agent.py" in text
|
||||
assert "cli.py" in text
|
||||
assert "hermes_cli" in text
|
||||
assert "gateway" in text
|
||||
assert "mcp_serve.py" in text
|
||||
assert "cron" in text
|
||||
|
||||
Reference in New Issue
Block a user