Add /api/chat, /api/upload, and /api/chat/history endpoints to the
FastAPI dashboard so the Expo mobile app talks directly to Timmy's
brain (Ollama) instead of a non-existent Node.js server.
Backend:
- New src/dashboard/routes/chat_api.py with 4 endpoints
- Mount /uploads/ for serving chat attachments
- Same context injection and session management as HTMX chat
Mobile app fixes:
- Point API base URL at port 8000 (FastAPI) instead of 3000
- Create lib/_core/theme.ts (was referenced but never created)
- Fix shared/types.ts (remove broken drizzle/errors re-exports)
- Remove broken server/chat.ts and 1,235-line template README
- Clean package.json (remove express, mysql2, drizzle, tRPC deps)
- Remove debug console.log from theme-provider
Tests: 13 new tests covering all API endpoints (all passing).
https://claude.ai/code/session_01XqErDoh2rVsPY8oTj21Lz2
Co-authored-by: Claude <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>
* 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
---------
Co-authored-by: Alexander Payne <apayne@MM.local>
* 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
---------
Co-authored-by: Alexander Payne <apayne@MM.local>
- 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
Co-authored-by: Alexander Payne <apayne@MM.local>
- Add MultiModalManager with capability detection for vision/audio/tools
- Define fallback chains: vision (llama3.2:3b -> llava:7b -> moondream)
tools (llama3.1:8b-instruct -> qwen2.5:7b)
- Update CascadeRouter to detect content type and select appropriate models
- Add model pulling with automatic fallback in agent creation
- Update providers.yaml with multi-modal model configurations
- Update OllamaAdapter to use model resolution with vision support
Tests: All 96 infrastructure tests pass
- Single-screen chat interface with Timmy's sovereign AI personality
- Text messaging with real-time AI responses via server chat API
- Voice recording and playback with waveform visualization
- Image sharing (camera + photo library) with full-screen viewer
- File attachments via document picker
- Dark arcane theme matching the Timmy Time dashboard
- Custom app icon with glowing T circuit design
- Timmy system prompt ported from dashboard prompts.py
- Unit tests for chat utilities and message types
- Add `requests` to conftest.py module stubs so patch("requests.post") works
in reward scoring tests without the package installed
- Use sys.executable instead of bare "python" in git safety tests so the
subprocess finds pytest from the venv rather than system python
https://claude.ai/code/session_012Ye9nyFEiw2QQfx4bZeDmn
Test fixtures that create temporary git repos now set commit.gpgsign=false
to avoid failures in environments with global commit signing configured.
The permission error test is skipped when running as root since file
permissions don't apply to the root user.
https://claude.ai/code/session_018u1fAx2GihSGctYS64tD4H
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
Full VP-engineering-level review of the codebase identifying 8 problems
(monolith sprawl, dashboard gravity well, doc entropy, test skeleton
bloat, unclear project boundaries, broken wheel build, dashboard
coupling, overscoped conftest) and proposing 6 phases of incremental
refactoring from low-risk doc cleanup to potential package extraction.
Key findings:
- 28 modules in src/, 11 missing from wheel build
- 87KB of root markdown with massive duplication
- 61 of 97 test files are empty skeletons (0 test functions)
- Dashboard routes: 27 files, 4,562 lines (gravity well)
- 4 autouse fixtures run on every test regardless of need
https://claude.ai/code/session_019oMFNvD8uSGSSmBMGkBfQN
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.
Add comprehensive test suite for Hands framework:
TestHandRegistry:
- Load all Hands from directory
- Get Hand by name (with not-found handling)
- Get scheduled vs all Hands
- State management (status updates)
- Approval queue operations
TestHandScheduler:
- Scheduler initialization
- Schedule Hand with cron
- Get scheduled jobs list
- Manual trigger execution
TestHandRunner:
- Load system prompts from SYSTEM.md
- Load skills from skills/ directory
- Build execution prompts
TestHandConfig:
- HandConfig creation and validation
- Cron schedule validation
TestHandModels:
- HandStatus enum values
- HandState serialization to dict
17 tests total, all passing.
Add dashboard for managing autonomous Hands:
Routes (src/dashboard/routes/hands.py):
- GET /api/hands - List all Hands with status
- GET /api/hands/{name} - Get Hand details
- POST /api/hands/{name}/trigger - Manual trigger
- POST /api/hands/{name}/pause - Pause scheduled Hand
- POST /api/hands/{name}/resume - Resume paused Hand
- GET /api/approvals - List pending approvals
- POST /api/approvals/{id}/approve - Approve request
- POST /api/approvals/{id}/reject - Reject request
- GET /api/executions - List execution history
Templates:
- hands.html - Main dashboard page
- partials/hands_list.html - Active Hands list
- partials/approvals_list.html - Pending approvals
- partials/hand_executions.html - Execution history
Integration:
- Wired up in app.py
- Navigation links in base.html
Add HandRunner for executing Hands:
- hands/runner.py: Hand execution engine
- Load SYSTEM.md and SKILL.md files
- Inject domain expertise into LLM context
- Check and handle approval gates
- Execute tool loop with LLM
- Deliver output to dashboard/channel/file
- Log execution records
- hands/__init__.py: Module exports
- Export all public classes and models
- Usage documentation
The HandRunner completes the core Hands infrastructure.
Integrate self-coding routes into dashboard:
Changes:
- Add import for self_coding_router in app.py
- Include self_coding_router in FastAPI app
- Add SELF-CODING link to desktop navigation
- Add SELF-CODING link to mobile navigation
The self-coding dashboard is now accessible at /self-coding
