Commit Graph
9 Commits
Author SHA1 Message Date
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