Errors and uncaught exceptions are now automatically captured, deduplicated,
persisted to a rotating log file, and filed as bug report tasks in the
existing task queue — giving Timmy a sovereign, local issue tracker with
zero new dependencies.
- Add RotatingFileHandler writing errors to logs/errors.log (5MB rotate, 5 backups)
- Add error capture module with stack-trace hashing and 5-min dedup window
- Add FastAPI exception middleware + global exception handler
- Instrument all background loops (briefing, thinking, task processor) with capture_error()
- Extend task queue with bug_report task type and auto-approve rule
- Fix auto-approve type matching (was ignoring task_type field entirely)
- Add /bugs dashboard page and /api/bugs JSON endpoints
- Add ERROR_CAPTURED and BUG_REPORT_CREATED event types for real-time feed
- Add BUGS nav link to desktop and mobile navigation
- Add 16 tests covering error capture, deduplication, and bug report routes
Co-authored-by: Alexander Payne <apayne@MM.local>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* test: remove hardcoded sleeps, add pytest-timeout
- Replace fixed time.sleep() calls with intelligent polling or WebDriverWait
- Add pytest-timeout dependency and --timeout=30 to prevent hangs
- Fixes test flakiness and improves test suite speed
* feat: add Aider AI tool to Forge's toolkit
- Add Aider tool that calls local Ollama (qwen2.5:14b) for AI coding assist
- Register tool in Forge's code toolkit
- Add functional tests for the Aider tool
* config: add opencode.json with local Ollama provider for sovereign AI
* feat: Timmy fixes and improvements
## Bug Fixes
- Fix read_file path resolution: add ~ expansion, proper relative path handling
- Add repo_root to config.py with auto-detection from .git location
- Fix hardcoded llama3.2 - now dynamic from settings.ollama_model
## Timmy's Requests
- Add communication protocol to AGENTS.md (read context first, explain changes)
- Create DECISIONS.md for architectural decision documentation
- Add reasoning guidance to system prompts (step-by-step, state uncertainty)
- Update tests to reflect correct model name (llama3.1:8b-instruct)
## Testing
- All 177 dashboard tests pass
- All 32 prompt/tool tests pass
---------
Co-authored-by: Alexander Payne <apayne@MM.local>
Inspired by OpenClaw-RL's multi-model orchestration, this adds four
features for custom model management:
1. Custom model registry (infrastructure/models/registry.py) — SQLite-backed
registry for GGUF, safetensors, HF checkpoint, and Ollama models with
role-based lookups (general, reward, teacher, judge).
2. Per-agent model assignment — each swarm persona can use a different model
instead of sharing the global default. Resolved via registry assignment >
persona default > global default.
3. Runtime model management API (/api/v1/models) — REST endpoints to register,
list, assign, enable/disable, and remove custom models without restart.
Includes a dashboard page at /models.
4. Reward model scoring (PRM-style) — majority-vote quality evaluation of
agent outputs using a configurable reward model. Scores persist in SQLite
and feed into the swarm learner.
New config settings: custom_weights_dir, reward_model_enabled,
reward_model_name, reward_model_votes.
54 new tests covering registry CRUD, API endpoints, agent assignments,
role lookups, and reward scoring.
https://claude.ai/code/session_01V4iTozMwcE2gjfnCJdCugC
- Add GrokBackend class in src/timmy/backends.py with full sync/async
support, health checks, usage stats, and cost estimation in sats
- Add consult_grok tool to Timmy's toolkit for proactive Grok queries
- Extend cascade router with Grok provider type for failover chain
- Add Grok Mode toggle card to Mission Control dashboard (HTMX live)
- Add "Ask Grok" button on chat input for direct Grok queries
- Add /grok/* routes: status, toggle, chat, stats endpoints
- Integrate Lightning invoice generation for Grok usage monetization
- Add GROK_ENABLED, XAI_API_KEY, GROK_DEFAULT_MODEL, GROK_MAX_SATS_PER_QUERY,
GROK_FREE config settings via pydantic-settings
- Update .env.example and docker-compose.yml with Grok env vars
- Add 21 tests covering backend, tools, and route endpoints (all green)
Local-first ethos preserved: Grok is premium augmentation only,
disabled by default, and Lightning-payable when enabled.
https://claude.ai/code/session_01FygwN8wS8J6WGZ8FPb7XGV
Replaces the marketing landing page with a minimal, full-screen chat
interface that connects to a running Timmy instance. Mobile-first design
with single vertical scroll direction, looping scroll, no zoom, no
buttons — just type and press Enter to talk to Timmy.
- docs/index.html: full rewrite as a clean chat UI with dark terminal
theme, looping infinite scroll, markdown rendering, connection status,
and /connect, /clear, /help slash commands
- src/dashboard/app.py: add CORS middleware so the GitHub Pages site can
reach a local Timmy server cross-origin
- src/config.py: add cors_origins setting (defaults to ["*"])
https://claude.ai/code/session_01AWLxg6KDWsfCATiuvsRMGr
Enable Timmy to run directly on iPhone by loading a small LLM into
the browser via WebGPU (Safari 26+ / iOS 26+). No server connection
required — fully sovereign, fully offline.
New files:
- static/local_llm.js: WebLLM wrapper with model catalogue, WebGPU
detection, streaming chat, and progress callbacks
- templates/mobile_local.html: Mobile-optimized UI with model
selector, download progress, LOCAL/SERVER badge, and chat
- tests/dashboard/test_local_models.py: 31 tests covering routes,
config, template UX, JS asset, and XSS prevention
Changes:
- config.py: browser_model_enabled, browser_model_id,
browser_model_fallback settings
- routes/mobile.py: /mobile/local page, /mobile/local-models API
- base.html: LOCAL AI nav link
Supported models: SmolLM2-360M (~200MB), Qwen2.5-0.5B (~350MB),
SmolLM2-1.7B (~1GB), Llama-3.2-1B (~700MB). Falls back to
server-side Ollama when local model is unavailable.
https://claude.ai/code/session_01Cqkvr4sZbED7T3iDu1rwSD
Change 1: Model Upgrade (Primary Fix)
- Changed default model from llama3.2 to llama3.1:8b-instruct
- llama3.1:8b-instruct is fine-tuned for reliable tool/function calling
- llama3.2 (3B) consistently hallucinated tool output in testing
- Added fallback to qwen2.5:14b if primary unavailable
Change 2: Structured Output Foundation
- Enhanced session init to load real data on first message
- Preparation for JSON schema enforcement
Change 3: Git Tool Working Directory Fix
- Rewrote git_tools.py to use subprocess with cwd=REPO_ROOT
- REPO_ROOT auto-detected at module load time
- All git commands now run from correct directory
Change 4: Session Init with Git Log
- _session_init() reads git log --oneline -15 on first message
- Recent commits prepended to system prompt
- Timmy can now answer 'what's new?' from actual commit data
Change 5: Documentation
- Updated README with new model requirement
- Added CHANGELOG_2025-02-27.md
User must run: ollama pull llama3.1:8b-instruct
All 18 git tool tests pass.
Task Queue system:
- New /tasks page with three-column layout (Pending/Active/Completed)
- Full CRUD API at /api/tasks with approve/veto/modify/pause/cancel/retry
- SQLite persistence in task_queue table
- WebSocket live updates via ws_manager
- Create task modal with agent assignment and priority
- Auto-approve rules for low-risk tasks
- HTMX polling for real-time column updates
- HOME TASK buttons now link to task queue with agent pre-selected
- MARKET HIRE buttons link to task queue with agent pre-selected
Work Order system:
- External submission API for agents/users (POST /work-orders/submit)
- Risk scoring and configurable auto-execution thresholds
- Dashboard at /work-orders/queue with approve/reject/execute flow
- Integration with swarm task system for execution
UI & Dashboard bug fixes:
- EVENTS: add startup event so page is never empty
- LEDGER: fix empty filter params in URL
- MISSION CONTROL: LLM backend and model now read from /health
- MISSION CONTROL: agent count fallback to /swarm/agents
- SWARM: HTMX fallback loads initial data if WebSocket is slow
- MEMORY: add edit/delete buttons for personal facts
- UPGRADES: add empty state guidance with links
- BRIEFING: add regenerate button and POST /briefing/regenerate endpoint
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Adds SelfModifyLoop — an edit→validate→test→commit cycle that can read
its own failure reports, diagnose root causes, and restart autonomously.
Key capabilities:
- Multi-backend LLM: Anthropic Claude API, Ollama, or auto-detect
- Syntax validation via compile() before writing to disk
- Autonomous self-correction loop with configurable max cycles
- XML-based output format to avoid triple-quote delimiter conflicts
- Branch creation skipped by default to prevent container restarts
- CLI: self-modify run "instruction" --backend auto --autonomous
- 939 tests passing, 30 skipped
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
## Security (Workset A)
- XSS: Verified templates use safe DOM methods (textContent, createElement)
- Secrets: Fail-fast in production mode when L402 secrets not set
- Environment mode: Add TIMMY_ENV (development|production) validation
## Privacy (Workset C)
- Add telemetry_enabled config (default: False for sovereign AI)
- Pass telemetry setting to Agno Agent
- Update .env.example with TELEMETRY_ENABLED and TIMMY_ENV docs
## Agent Intelligence (Workset D)
- Enhanced TIMMY_SYSTEM_PROMPT with:
- Tool usage guidelines (when to use, when not to)
- Memory awareness documentation
- Operating mode documentation
- Help reduce unnecessary tool calls for simple queries
All 895 tests pass.
Telemetry disabled by default aligns with sovereign AI vision.
- config.py: add L402_HMAC_SECRET, L402_MACAROON_SECRET, LIGHTNING_BACKEND
to pydantic-settings with startup warnings for default secrets
- l402_proxy.py, mock_backend.py, factory.py: migrate from os.environ.get()
to `from config import settings` per project convention
- Makefile: `make install-creative` now auto-installs PyTorch nightly with
Metal (MPS) support on Apple Silicon instead of just printing a note
- activate_self_tdd.sh: add PID file (.watchdog.pid) and EXIT trap so
Ctrl-C cleanly stops both the dashboard and the watchdog process
- .gitignore: add .watchdog.pid
https://claude.ai/code/session_01A81E5HMxZEPxzv2acNo35u
Introduces a vendor-agnostic chat platform architecture:
- chat_bridge/base.py: ChatPlatform ABC, ChatMessage, ChatThread
- chat_bridge/registry.py: PlatformRegistry singleton
- chat_bridge/invite_parser.py: QR + Ollama vision invite extraction
- chat_bridge/vendors/discord.py: DiscordVendor with native threads
Workflow: paste a screenshot of a Discord invite or QR code at
POST /discord/join → Timmy extracts the invite automatically.
Every Discord conversation gets its own thread, keeping channels clean.
Bot responds to @mentions and DMs, routes through Timmy agent.
43 new tests (base classes, registry, invite parser, vendor, routes).
https://claude.ai/code/session_01WU4h3cQQiouMwmgYmAgkMM
Adds 3 new personas (Pixel, Lyra, Reel) and 5 new tool modules:
- Git/DevOps tools (GitPython): clone, status, diff, log, blame, branch,
add, commit, push, pull, stash — wired to Forge and Helm personas
- Image generation (FLUX via diffusers): text-to-image, storyboards,
variations — Pixel persona
- Music generation (ACE-Step 1.5): full songs with vocals+instrumentals,
instrumental tracks, vocal-only tracks — Lyra persona
- Video generation (Wan 2.1 via diffusers): text-to-video, image-to-video
clips — Reel persona
- Creative Director pipeline: multi-step orchestration that chains
storyboard → music → video → assembly into 3+ minute final videos
- Video assembler (MoviePy + FFmpeg): stitch clips, overlay audio,
title cards, subtitles, final export
Also includes:
- Spark Intelligence tool-level + creative pipeline event capture
- Creative Studio dashboard page (/creative/ui) with 4 tabs
- Config settings for all new models and output directories
- pyproject.toml creative optional extra for GPU dependencies
- 107 new tests covering all modules (624 total, all passing)
https://claude.ai/code/session_01KJm6jQkNi3aA3yoQJn636c
Bridges Telegram messages to Timmy via python-telegram-bot (optional
dependency). The bot token can be supplied through the TELEGRAM_TOKEN
env var or at runtime via the new POST /telegram/setup dashboard
endpoint, which (re)starts the bot without a restart.
Changes:
- src/telegram_bot/bot.py — TelegramBot singleton: token persistence
(telegram_state.json), lifecycle (start/stop), /start command and
message handler that forwards to Timmy
- src/dashboard/routes/telegram.py — /telegram/setup and /telegram/status
FastAPI routes
- src/dashboard/app.py — register telegram router; auto-start/stop bot
in lifespan hook
- src/config.py — TELEGRAM_TOKEN setting (pydantic-settings)
- pyproject.toml — [telegram] optional extra (python-telegram-bot>=21),
telegram_bot wheel include
- .env.example — TELEGRAM_TOKEN section
- .gitignore — exclude telegram_state.json (contains token)
- tests/conftest.py — stub telegram/telegram.ext for offline test runs
- tests/test_telegram_bot.py — 16 tests covering token helpers,
lifecycle, and all dashboard routes (370 total, all passing)
https://claude.ai/code/session_01CNBm3ZLobtx3Z1YogHq8ZS
Config (src/config.py):
- pydantic-settings Settings class: OLLAMA_URL, OLLAMA_MODEL, DEBUG
- Reads from .env (gitignored) with sane defaults
- settings singleton imported by health.py and agent.py
Removes two hardcodes:
- health.py: OLLAMA_URL="http://localhost:11434" → settings.ollama_url
- agent.py: Ollama(id="llama3.2") → settings.ollama_model
app.py:
- logging.basicConfig at INFO — requests/errors now visible in terminal
- docs_url/redoc_url gated on settings.debug (off by default)
pyproject.toml:
- pydantic-settings>=2.0.0 added to main dependencies
- hatch wheel config updated to include src/config.py
.env.example: documents all three env vars with inline comments
.gitignore: add !.env.example negation so the template gets committed
.github/workflows/tests.yml: runs pytest --cov on every push/PR
(ubuntu-latest, Python 3.11, pip cache)
All 27 tests pass.
https://claude.ai/code/session_01M4L3R98N5fgXFZRvV8X9b6
