Model upgrade:
- qwen2.5:14b → qwen3.5:latest across config, tools, and docs
- Added qwen3.5 to multimodal model registry
Self-hosted Gitea CI:
- .gitea/workflows/tests.yml: lint + test jobs via act_runner
- Unified Dockerfile: pre-baked deps from poetry.lock for fast CI
- sitepackages=true in tox for ~2s dep resolution (was ~40s)
- OLLAMA_URL set to dead port in CI to prevent real LLM calls
Test isolation fixes:
- Smoke test fixture mocks create_timmy (was hitting real Ollama)
- WebSocket sends initial_state before joining broadcast pool (race fix)
- Tests use settings.ollama_model/url instead of hardcoded values
- skip_ci marker for Ollama-dependent tests, excluded in CI tox envs
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace the homebrew regex-based tool extraction and manual dispatch
(tool_executor.py) with Agno's built-in Human-In-The-Loop confirmation:
- Toolkit(requires_confirmation_tools=...) marks dangerous tools
- agent.run() returns RunOutput with status=paused when confirmation needed
- RunRequirement.confirm()/reject() + agent.continue_run() resumes execution
Dashboard and Discord vendor both use the native flow. DuckDuckGo import
isolated so its absence doesn't kill all tools. Test stubs cleaned up
(agno is a real dependency, only truly optional packages stubbed).
1384 tests pass in parallel (~14s).
Co-authored-by: Trip T <trip@local>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
- Swap OLLAMA_MODEL_PRIMARY to qwen2.5:14b for better reasoning
- llama3.1:8b-instruct becomes fallback
- Update .env default and README quick start
- Fix hardcoded model assertions in tests
qwen2.5:14b provides significantly better multi-step reasoning
and tool calling reliability while still running locally on
modest hardware. The 8B model remains as automatic fallback.
Co-authored-by: Trip T <trip@local>
* Remove persona system, identity, and all Timmy references
Strip the codebase to pure orchestration logic:
- Delete TIMMY_IDENTITY.md and memory/self/identity.md
- Gut brain/identity.py to no-op stubs (empty returns)
- Remove all system prompts reinforcing Timmy's character, faith,
sovereignty, sign-off ("Sir, affirmative"), and agent roster
- Replace identity-laden prompts with generic local-AI-assistant prompts
- Remove "You work for Timmy" from all sub-agent system prompts
- Rename PersonaTools → AgentTools, PERSONA_TOOLKITS → AGENT_TOOLKITS
- Replace "timmy" agent ID with "orchestrator" across routes, marketplace,
tools catalog, and orchestrator class
- Strip Timmy references from config comments, templates, telegram bot,
chat API, and dashboard UI
- Delete tests/brain/test_identity.py entirely
- Fix all test assertions that checked for persona identity content
729 tests pass (2 pre-existing failures in test_calm.py unrelated).
https://claude.ai/code/session_01LjQGUE6nk9W9674zaxrYxy
* Add Taskosaur (PM + AI task execution) to docker-compose
Spins up Taskosaur alongside the dashboard on `docker compose up`:
- postgres:16-alpine (port 5432, Taskosaur DB)
- redis:7-alpine (Bull queue backend)
- taskosaur (ports 3000 API / 3001 UI)
- dashboard now depends_on taskosaur healthy
- TASKOSAUR_API_URL injected into dashboard environment
Dashboard can reach Taskosaur at http://taskosaur:3000/api on the
internal network. Frontend UI accessible at http://localhost:3001.
https://claude.ai/code/session_01LjQGUE6nk9W9674zaxrYxy
---------
Co-authored-by: Claude <noreply@anthropic.com>
The chat WebSocket return path was broken by two bugs that prevented
Timmy's responses from appearing in the live chat feed:
1. Frontend checked msg.type instead of msg.event for 'timmy_response'
events — the WSEvent dataclass uses 'event' as the field name.
2. Frontend accessed msg.response instead of msg.data.response — the
response payload is nested in the data field.
Additional fixes:
- Queue acknowledgment ("Message queued...") no longer logged as an
agent message in chat history; the real response is logged by the
task processor when it completes, eliminating duplicate messages.
- Chat message template now carries data-task-id so the WS handler
can find and replace the placeholder with the actual response.
- appendMessage() uses DOM APIs (textContent) instead of innerHTML
for safer content insertion before markdown rendering.
- Fixed chat_message.html script targeting when queue-status div is
present between the agent message and the inline script.
https://claude.ai/code/session_011cJfexqBBuGhSRQU8qwKcR
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>
