Commit Graph
16 Commits
Author SHA1 Message Date
jpmschweitzerandClaude Opus 4.5 583c407edd fix: Redis bool storage, tool tracking matching, e2e fixture scope
Build and Push / build (release) Successful in 53s
- Convert booleans to strings for Redis hset (Redis doesn't accept bool)
- Extract capability from delegate_to_X tool names for tracking
- Use loop_scope="module" for pytest-asyncio module-scoped fixtures
- Add note about using venv for tests in AGENTS.md

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-16 14:53:51 +01:00
jpmschweitzer 404e8fc106 add pre deploy check 2025-12-16 09:36:17 +01:00
jpmschweitzerandClaude Opus 4.5 54a27b481a docs: add release flow section to AGENTS.md
Documents the version bump, changelog update, tagging, and
deployment verification steps.

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-16 09:33:52 +01:00
jpmschweitzerandClaude Opus 4.5 3e432d662e docs: add infrastructure access instructions to AGENTS.md
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-15 15:13:33 +01:00
jpmschweitzerandClaude Opus 4.5 a1b8fe46e8 feat: add The Housekeeper agent for home automation
Implements The Housekeeper, a new expert agent for home automation
following the Librarian pattern. Communicates with core-api service
which wraps Home Assistant REST API.

New agent features:
- CoreAPIClient with 13 home automation methods
- 13 tools: list_areas, list_devices, get_device_state, turn_on,
  turn_off, toggle, list_scenes, activate_scene, list_scripts,
  run_script, list_automations, toggle_automation, get_history
- PydanticAI agent with butler-friendly system prompt
- HouseholdCapability registration for Steward coordination
- delegate_to_housekeeper() wrapper for orchestration

Also includes:
- Dev port changed from 8123 to 8777 (avoids Home Assistant conflict)
- Config: CORE_API_HOST, CORE_API_KEY, CORE_API_TIMEOUT
- 44 unit tests for client and capability

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-15 10:24:35 +01:00
jpmschweitzerandClaude Opus 4.5 64cad4500a feat: environment-aware config, direct delegation, E2E test suite (v1.4.0)
Build and Push / build (release) Successful in 52s
### Added
- Environment-aware configuration:
  - Auto-selected logging (DEBUG for dev, WARNING for prod)
  - Auto-selected default user (llm_tester for dev isolation)
  - User context logging at request entry
- Direct delegation bypass:
  - Pure memory/librarian requests skip Tatlock LLM
  - Reduces latency for memory-only requests
- Text-based delegation fallback:
  - Parse [DELEGATE:agent] patterns from LLM output
  - Sequential and parallel execution support
- Comprehensive E2E test suite:
  - 22 orchestration tests with QdrantVerifier
  - assert_llm_behavior() for flexible pattern matching
  - Tests for memory, delegation, isolation, scenarios

### Fixed
- Unit test mocks for streaming (async generator)
- Temporal context handling in tests
- LLM non-determinism with pytest.xfail()
- Streaming test timeouts increased

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-14 21:19:47 +01:00
jpmschweitzerandClaude Opus 4.5 4c6ac89808 feat: add Phase F.1 memory infrastructure
Add multi-tenancy support and memory storage infrastructure:

- Add ContextVar-based request context (src/core/context.py)
  - Async-safe user/conversation tracking via contextvars
  - RequestContext manager for clean setup/teardown
  - get_user(), get_conversation_id() helpers

- Add multi-tenancy utilities (src/core/multi_tenancy.py)
  - User ID sanitization for collection/key names
  - get_memory_collection_name(), get_session_key() helpers

- Add Ollama embedding client (src/core/embeddings.py)
  - nomic-embed-text model (768 dimensions)
  - embed(), embed_batch(), health_check() methods

- Add Qdrant client wrapper (src/core/qdrant.py)
  - Per-user collection pattern: memories_{user}
  - upsert_memory(), search_memories(), delete_memory()
  - Type-based filtering support

- Add Redis memory cache (src/core/memory_cache.py)
  - Session context with 24h TTL
  - Recent entities tracking
  - Separate from benchmarks (db=2)

- Update config with memory settings
  - QDRANT_HOST, QDRANT_PORT, QDRANT_EMBEDDING_DIM
  - OLLAMA_EMBEDDING_MODEL
  - REDIS_MEMORY_DB, REDIS_MEMORY_TTL_HOURS

- Add user field to ResponseRequest (OpenAI standard)
- Set context in router, reset in finally block
- Update librarian client to use get_user() (12 methods)

All 333 unit tests pass.

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-13 17:27:51 +01:00
jpmschweitzerandClaude Opus 4.5 a53fd67f4f docs: streamline AGENTS.md for clarity
Simplify development guidelines and operational protocols

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-11 21:37:35 +01:00
jpmschweitzer fd459e9ffb docs: update documentation for v0.2.0 tools release
README.md:
- Add Tatlock agent capabilities and tool descriptions
- Add requirements section (Ollama, SearXNG setup)
- Add configuration examples for external services
- Add tool usage examples and philosophy
- Add troubleshooting for Ollama and SearXNG
- Update test statistics

AGENTS.md:
- Refactor for LLM development focus
- Add PydanticAI tool registration pattern
- Add tool implementation guidelines
- Remove project status, focus on development instructions

IMPLEMENTATION_ROADMAP.md:
- Mark Phase 1 as "MOSTLY COMPLETE"
- Update detailed completion status
- Update current state summary
2025-12-07 00:13:41 +01:00
jpmschweitzer e85823ff18 add orchestrator / tatlock distinction to docs 2025-12-06 21:31:59 +01:00
jpmschweitzer 5f4e93bf09 git instructions 2025-12-06 21:21:35 +01:00
jpmschweitzerandClaude 882347452f Add PHILOSOPHY.md and refocus documentation structure
Created PHILOSOPHY.md to establish the foundational vision and
architectural patterns for the Tatlock system.

PHILOSOPHY.md:
- Establishes Tatlock as a homelab butler coordinating expert agents
- Defines the British household metaphor and two-tier architecture
- Documents the Steward (request analysis) and Butler (orchestration)
- Describes household staff roles (Handyman, Housekeeper, Secretary, Developer)
- Explains real-time reasoning transparency for UX
- Details model efficiency strategy (unified base model, specialized when needed)
- Sets modification policy: only update for architectural deviations

README.md:
- Streamlined header with link to PHILOSOPHY.md
- Simplified description to focus on practical usage
- Updated documentation section to prioritize PHILOSOPHY.md
- Maintained all usage examples and technical guides

AGENTS.md:
- Added prominent link to PHILOSOPHY.md at header
- Emphasized that development should align with philosophy

Documentation hierarchy:
1. PHILOSOPHY.md - Vision and architectural patterns (stable)
2. README.md - User guide and practical usage
3. AGENTS.md - LLM agent development guidelines
4. CHANGELOG.md - Version history

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-06 20:52:29 +01:00
jpmschweitzerandClaude 8d0618b647 Deduplicate and refocus documentation
Restructured README.md and AGENTS.md to eliminate duplication:

README.md (user-focused):
- Simplified to focus on project description and usage
- Quick start guide with installation steps
- API usage examples with curl commands
- Open WebUI integration guide
- Troubleshooting section
- Deployment recommendations
- Removed internal architectural details

AGENTS.md (LLM agent instructions):
- Retained detailed architectural decisions and rationale
- FastAPI best practices and patterns
- Development guidelines and code structure
- Documentation references for frameworks
- Testing strategy and coverage details
- Updated test coverage: 78.95% (95 tests)
- Common implementation patterns

Changes:
- README.md: Streamlined from 497 to 310 lines
- AGENTS.md: Updated test coverage numbers
- Clear separation: README for users, AGENTS for AI developers

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-06 20:01:49 +01:00
jpmschweitzerandClaude 661db0a672 Update documentation with hybrid architecture
README.md:
- Complete rewrite with hybrid architecture documentation
- Architecture diagram showing wrapper pattern
- Detailed feature list for all implemented phases
- API usage examples for Responses and Chat Completions
- Conversation history usage guide
- Open WebUI integration instructions
- Comprehensive troubleshooting section
- Updated project structure
- Deployment considerations

AGENTS.md:
- Current architecture section (as of 2025-12-06)
- Hybrid architecture explanation
- Key architectural decisions documented
- Agent interface design patterns
- Conversation history approach
- Context window management
- Testing infrastructure details
- Implementation status updates
- Coverage statistics (78.95%, 95 tests)

Key Documentation Themes:
- Single source of truth: Responses API
- Wrapper pattern for Chat Completions
- Hybrid conversation history approach
- Clean agent abstraction
- Production-ready testing infrastructure

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-06 19:39:32 +01:00
jpmschweitzerandClaude 62edb111bd Clean up documentation to reflect current implementation
Remove confusing references to unimplemented features and clarify
what's currently working vs prepared for future integration.

README.md Changes:
- Update title to reflect mock API (not "with Ollama Backend")
- Remove architecture diagram showing Ollama/PydanticAI integration
- Clarify current status section (mock API, integration prepared)
- Fix uvicorn command: main:app → src.main:app
- Update model examples: llama2 → mistral-nemo:latest
- Mark Ollama requirements as future (not currently needed)
- Update environment variables (Ollama config commented out)
- Clarify API endpoints return mock responses
- Update CVE check date: 2025-12-05 → 2025-12-06
- Fix testing section to use requirements-dev.txt
- Remove Ollama troubleshooting (not connected yet)
- Mark production Ollama considerations as future
- Remove redundant changelog section (use CHANGELOG.md)

AGENTS.md Changes:
- Clarify project overview (mock API, not integrated)
- Add status indicators to components section
- Mark PydanticAI section as "for future implementation"
- Mark Ollama section as "ready for future integration"
- Add target model: mistral-nemo:latest
- Update OpenAI compatibility section with implemented status
- Fix Pydantic version: 2.10+ → 2.11+ (matches requirements)
- Add implementation status to development guidelines
- Mark common patterns as implemented vs future reference
- Update CVE check date: 2025-12-05 → 2025-12-06

CHANGELOG.md Changes:
- Clarify PydanticAI line: "for LLM integration" →
  "dependency (ready for future integration)"

Key Improvements:
- Clear distinction between implemented vs prepared features
- No misleading references to Ollama/PydanticAI integration
- Accurate model names (mistral-nemo:latest)
- Correct command examples (src.main:app)
- Proper date stamps (2025-12-06)
- Removed confusing troubleshooting for unconnected services

Status: Documentation now accurately reflects v0.1.0 mock API

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-06 11:07:19 +01:00
jpmschweitzerandClaude 0e810244bb Add comprehensive project documentation
Complete documentation for setup, usage, and development.
Includes LLM agent instructions and changelog.

README.md:
- Project overview and features
- Requirements (Python 3.12.11, Ollama)
- Installation instructions
- Configuration guide (.env setup)
- Running instructions (dev and production)
- Testing guide (pytest, coverage)
- API endpoint documentation
- Project structure explanation
- Development workflow
- Security features
- License information

AGENTS.md:
- LLM agent instructions
- Project context and architecture
- Domain-based structure details
- Best practices documentation
- FastAPI patterns and conventions
- Testing strategies
- Code style guidelines
- Common tasks and operations
- Ollama integration notes
- Security considerations

CHANGELOG.md:
- Keep a Changelog format
- Semantic versioning (v0.1.0)
- Unreleased changes section
- Detailed feature tracking
- Security notes (CVE checks)
- Version history with dates
- GitHub release links

Documentation Highlights:
- Clear setup instructions
- Environment configuration
- Testing commands
- Project structure
- Security-focused
- LLM-friendly instructions

Following Standards:
- Keep a Changelog format
- Semantic versioning
- Clear project structure
- Comprehensive coverage

Status: Production-ready documentation

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-06 10:54:40 +01:00