- 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
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
Add FastAPI routes for self-coding dashboard:
API Endpoints:
- GET /api/journal - List modification journal entries
- GET /api/journal/{id} - Get detailed attempt info
- GET /api/stats - Get success rate metrics
- POST /api/execute - Execute self-edit task
- GET /api/codebase/summary - Get codebase summary
- POST /api/codebase/reindex - Trigger reindex
HTMX Partials:
- GET /self-coding/ - Main dashboard page
- GET /self-coding/journal - Journal entries list
- GET /self-coding/stats - Stats cards
- GET /self-coding/execute-form - Task execution form
- POST /self-coding/execute - Execute task endpoint
- GET /journal/{id}/detail - Entry detail view
Resolved merge conflicts in agents.py and test_task_queue.py:
- Keep full chat-to-task pipeline (agent/priority extraction, question
filtering, context injection) over simpler main version
- Incorporate test_briefing_task_queue_summary from main
- All 64 task queue tests pass
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Addresses 14 bugs from 3 rounds of deep chat evaluation:
- Add chat-to-task pipeline in agents.py with regex-based intent detection,
agent extraction, priority extraction, and title cleaning
- Filter meta-questions ("how do I create a task?") from task creation
- Inject real-time date/time context into every chat message
- Inject live queue state when user asks about tasks
- Ground system prompts with agent roster, honesty guardrails, self-knowledge,
math delegation template, anti-filler rules, values-conflict guidance
- Add CSS for markdown code blocks, inline code, lists, blockquotes in chat
- Add highlight.js CDN for syntax highlighting in chat responses
- Reduce small-model memory context budget (4000→2000) for expanded prompt
- Add 27 comprehensive tests covering the full chat-to-task pipeline
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Chat messages like "add X to the queue" or "create a task" are
intercepted and create a task_queue entry with pending_approval
status instead of going through to the LLM
- Briefing engine now gathers task queue stats (pending, running,
completed, failed) and includes them in the morning briefing prompt
- 7 new tests covering detection patterns, chat integration, and
briefing summary
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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>
