- Replace flat file list with layered architecture map (config→agent→prompt→tool→memory→interface)
- Add SELF-MODIFICATION section: Timmy knows he can edit his own config and code
- Remove false limitation 'cannot modify own source code'
- Update tests to match new section headers, add self-modification tests
Closes#81 (reasoning depth)
Closes#86 (self-modification awareness)
[loop-cycle-11]
Adds SELF-KNOWLEDGE section to both SYSTEM_PROMPT_LITE and
SYSTEM_PROMPT_FULL with:
- Codebase map (all src/timmy/ modules with descriptions)
- Current capabilities list (grounded, not generic)
- Known limitations (real gaps, not LLM platitudes)
Lite prompt gets condensed version; full prompt gets detailed.
Timmy can now answer 'what does tool_safety.py do?' and give
grounded answers about his actual limitations.
10 new tests. 1456 total passing.
Timmy can now introspect which session he's running in (cli, dashboard, loop).
- Add {session_id} placeholder to both lite and full system prompts
- get_system_prompt() accepts session_id param (default: 'unknown')
- create_timmy() accepts session_id param, forwards to prompt
- CLI chat/think/status pass their session_id to create_timmy()
- session.py passes _DEFAULT_SESSION_ID to create_timmy()
- 7 new tests in test_session_identity.py
- Updated 2 existing CLI test mocks
Closes#64
Remove DuckDuckGoTools import, all web_search registrations across 4 toolkit
factories, catalog entry, safety classification, prompt references, and
session regex. Total: -41 lines of dead code.
consult_grok is functional (grok_enabled=True, API key set) and opt-in,
so it stays — but Timmy never calls it autonomously, which is correct
sovereign behavior (no cloud calls unless user permits).
Closes#87
Closes#71: Timmy was responding with elaborate markdown formatting
(tables, headers, emoji, bullet lists) for simple questions.
Root causes fixed:
1. Agno Agent markdown=True flag explicitly told the model to format
responses as markdown. Set to False in both agent.py and agents/base.py.
2. SYSTEM_PROMPT_FULL used ## and ### markdown headers, bold (**), and
numbered lists — teaching by example that markdown is expected.
Rewritten to plain text with labeled sections.
3. Brevity instructions were buried at the bottom of the full prompt.
Moved to immediately after the opening line as 'VOICE AND BREVITY'
with explicit override priority.
4. Orchestrator prompt in agents.yaml was silent on response style.
Added 'Voice: brief, plain, direct' with concrete examples.
The full prompt is now 41 lines shorter (124 → 83). The prompt itself
practices the brevity it preaches.
SOUL.md alignment:
- 'Brevity is a kindness' — now front-loaded in both base and agent prompt
- 'I do not fill silence with noise' — explicit in both tiers
- 'I speak plainly. I prefer short sentences.' — structural enforcement
4 new tests guard against regression:
- test_full_prompt_brevity_first: brevity section before tools/memory
- test_full_prompt_no_markdown_headers: no ## or ### in prompt text
- test_full_prompt_plain_text_brevity: 'plain text' instruction present
- test_lite_prompt_brevity: lite tier also instructs brevity
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>
* fix: name extraction blocklist, memory preview escaping, and gitignore cleanup
- Add _NAME_BLOCKLIST to extract_user_name() to reject gerunds and UI-state
words like "Sending" that were incorrectly captured as user names
- Collapse whitespace in get_memory_status() preview so newlines survive
JSON serialization without showing raw \n escape sequences
- Broaden .gitignore from specific memory/self/user_profile.md to memory/self/
and untrack memory/self/methodology.md (runtime-edited file)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: catch Ollama connection errors in session.py + add 71 smoke tests
- Wrap agent.run() in session.py with try/except so Ollama connection
failures return a graceful fallback message instead of dumping raw
tracebacks to Docker logs
- Add tests/test_smoke.py with 71 tests covering every GET route:
core pages, feature pages, JSON APIs, and a parametrized no-500 sweep
— catches import errors, template failures, and schema mismatches
that unit tests miss
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: agentic loop for multi-step tasks + Round 10 regression fixes
Agentic loop (Parts 1-4):
- Add multi-step chaining instructions to system prompt
- New agentic_loop.py with plan→execute→adapt→summarize flow
- Register plan_and_execute tool for background task execution
- Add max_agent_steps config setting (default: 10)
- Discord fix: 300s timeout, typing indicator, send error handling
- 16 new unit + e2e tests for agentic loop
Round 10 regressions (R1-R5, P1):
- R1: Fix literal \n escape sequences in tool responses
- R2: Chat timeout/error feedback in agent panel
- R3: /hands infinite spinner → static empty states
- R4: /self-coding infinite spinner → static stats + journal
- R5: /grok/status raw JSON → HTML dashboard template
- P1: VETO confirmation dialog on task cards
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: briefing route 500 in CI when agno is MagicMock stub
_call_agent() returned a MagicMock instead of a string when agno is
stubbed in tests, causing SQLite "Error binding parameter 4" on save.
Ensure the return value is always an actual string.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: briefing route 500 in CI — graceful degradation at route level
When agno is stubbed with MagicMock in CI, agent.run() returns a
MagicMock instead of raising — so the exception handler never fires
and a MagicMock propagates as the summary to SQLite, which can't
bind it.
Fix: catch at the route level and return a fallback Briefing object.
This follows the project's graceful degradation pattern — the briefing
page always renders, even when the backend is completely unavailable.
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>
* 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>
* 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>
- Add sandboxed calculator tool to Timmy's toolkit so arithmetic questions
get exact answers instead of LLM hallucinations
- Update system prompts (lite + full) to instruct Timmy to always use the
calculator and never attempt multi-digit math in his head
- Add self-contradiction guard to both prompts ("commit to your facts")
- Render Timmy's chat responses as markdown via marked.js + DOMPurify
instead of raw escaped text
- Suppress empty briefing notification on startup when there are 0
pending approval items
- Add calculator to session response sanitizer regex
- 18 new calculator tests, 2 updated briefing notification tests
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>
## 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.
