All `except Exception:` now catch as `except Exception as exc:` with
appropriate logging (warning for critical paths, debug for graceful degradation).
Added logger setup to 4 files that lacked it:
- src/timmy/memory/vector_store.py
- src/dashboard/middleware/csrf.py
- src/dashboard/middleware/security_headers.py
- src/spark/memory.py
31 files changed across timmy core, dashboard, infrastructure, integrations.
Zero bare excepts remain. 1340 tests passing.
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>
* fix: remove invalid show_tool_calls kwarg crashing Agent init (regression)
show_tool_calls was removed in f95c960 (Feb 26) because agno 2.5.x
doesn't accept it, then reintroduced in fd0ede0 (Mar 8) without
runtime testing — mocked tests hid the breakage.
Replace the bogus assertion with a regression guard and an allowlist
test that catches unknown kwargs before they reach production.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: auto-install git hooks, add black/isort to dev deps
- Add .githooks/ with portable pre-commit hook (macOS + Linux)
- make install now auto-activates hooks via core.hooksPath
- Add black and isort to poetry dev group (were only in CI via raw pip)
- Fix black formatting on 2 files flagged by CI
- Fix test_autoresearch_perplexity patching wrong module path
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Trip T <trip@local>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Wire up automatic error-to-task escalation and fix the agentic loop
stopping after the first tool call.
Auto-escalation:
- Add swarm.task_queue.models with create_task() bridge to existing
task queue SQLite DB
- Add swarm.event_log with EventType enum, log_event(), and SQLite
persistence + WebSocket broadcast
- Wire capture_error() into request logging middleware so unhandled
HTTP exceptions auto-create [BUG] tasks with stack traces, git
context, and push notifications (5-min dedup window)
Agentic loop (Round 11 Bug #1):
- Wrap agent_chat() in asyncio.to_thread() to stop blocking the
event loop (fixes Discord heartbeat warnings)
- Enable Agno's native multi-turn tool chaining via show_tool_calls
and tool_call_limit on the Agent config
- Strengthen multi-step continuation prompts with explicit examples
Co-authored-by: Trip T <trip@local>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* 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>
UC-01: Live System Introspection Tool
- Add get_task_queue_status(), get_agent_roster(), get_live_system_status()
to timmy/tools_intro with graceful degradation
- Enhanced get_memory_status() with line counts, section headers, vault
directory listing, semantic memory row count, self-coding journal stats
- Register system_status MCP tool (creative/tools/system_status.py)
- Add system_status to Timmy's tool list + Hard Rule #7
UC-02: Fix Offline Status Bug
- Add registry.heartbeat() calls in task_processor run_loop() and
process_single_task() so health endpoint reflects actual agent status
- health.py now consults swarm registry instead of Ollama connectivity
UC-03: Message Source Tagging
- Add source field to Message dataclass (default "browser")
- Tag all message_log.append() calls: browser, api, system
- Include source in /api/chat/history response
UC-04: Discord Token Auto-Detection & Docker Fix
- Add _discord_token_watcher() background coroutine that polls every 30s
for DISCORD_TOKEN in env vars, .env file, or state file
- Add --extras discord to all three Dockerfiles (main, dashboard, test)
All 26 Phase 1 tests pass in Docker (make test-docker).
Full suite: 1889 passed, 77 skipped, 0 failed.
Co-authored-by: Alexander Payne <apayne@MM.local>
Co-authored-by: Claude Opus 4.6 <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>
The task queue was completely stuck: 82 tasks trapped in pending_approval,
4 zombie tasks frozen in running, and the worker loop unable to process
anything. This removes the approval gate as the default and adds startup
recovery for orphaned tasks.
- Auto-approve all tasks by default; only task_type="escalation" requires
human review (and escalations never block the processor)
- Add reconcile_zombie_tasks() to reset RUNNING→APPROVED on startup
- Use in-memory _current_task for concurrency check instead of DB status
so stale RUNNING rows from a crash can't block new work
- Update get_next_pending_task to only query APPROVED tasks
- Update all callsites (chat route, API, form) to match new defaults
Co-authored-by: Alexander Payne <apayne@MM.local>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add task queue system for Timmy - all work goes through the queue
- Add queue position tracking to task_queue models with task_type field
- Add TaskProcessor class that consumes tasks from queue one at a time
- Modify chat route to queue all messages for async processing
- Chat responses get 'high' priority to jump ahead of thought tasks
- Add queue status API endpoints for position polling
- Update UI to show queue position (x/y) and current task banner
- Replace thinking loop with task-based approach - thoughts are queued tasks
- Push responses to user via WebSocket instead of immediate HTTP response
- Add database migrations for existing tables
* feat: Timmy drains task queue on startup, backlogs unhandleable tasks
On spin-up, Timmy now iterates through all pending/approved tasks
immediately instead of waiting for the polling loop. Tasks without a
registered handler or with permanent errors are moved to a new
BACKLOGGED status with a reason, keeping the queue clear for work
Timmy can actually do.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
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>
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>
Timmy was exhibiting severe incoherence (no memory between messages, tool call
leakage, chain-of-thought narration, random tool invocations) due to creating
a brand new agent per HTTP request and giving a 3B model (llama3.2) a 73-line
system prompt with complex tool-calling instructions it couldn't follow.
Key changes:
- Add session.py singleton with stable session_id for conversation continuity
- Add _model_supports_tools() to strip tools from small models (< 7B)
- Add two-tier prompts: lite (12 lines) for small models, full for capable ones
- Add response sanitizer to strip leaked JSON tool calls and CoT narration
- Set show_tool_calls=False to prevent raw tool JSON in output
- Wire ConversationManager for user name extraction
- Deprecate orphaned memory_layers.py (unused 4-layer system)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add infrastructure for running swarm agents as isolated Docker
containers with HTTP-based coordination, startup recovery, and
enhanced dashboard UI for agent management.
- Dockerfile and docker-compose.yml for multi-service orchestration
- DockerAgentRunner for programmatic container lifecycle management
- Internal HTTP API for container agents to poll tasks and submit bids
- Startup recovery system to reconcile orphaned tasks and stale agents
- Enhanced UI partials for agent panels, chat, and task assignment
- Timmy docker entry point with heartbeat and task polling
- New Makefile targets for Docker workflows
- Tests for swarm recovery
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add dashboard/store.py: MessageLog dataclass singleton tracking
user/agent/error messages for the lifetime of the server process
- agents.py: write each chat turn to MessageLog; add GET and DELETE
/agents/timmy/history routes returning the history.html partial
- partials/history.html: render stored messages by role (YOU / TIMMY /
SYSTEM); falls back to the Mission Control init message when empty
- index.html: chat-log loads history via hx-get on page start; new
CLEAR button in panel header sends hx-delete to reset the log
- style.css: add .mc-btn-clear (muted, red-on-hover for the header)
- tests: autouse reset_message_log fixture in conftest; 5 new history
tests covering empty state, recording, offline errors, clear, and
post-clear state → 32 tests total, all passing
https://claude.ai/code/session_01KZMfwBpLuiv6x9GbzTqbys
