Refactor LlmService to delegate to LlmManagerService instead of using
Ollama directly. This enables multiple provider support and user-specific
provider configuration.
Changes:
- Remove direct Ollama client from LlmService
- Delegate all LLM operations to provider via LlmManagerService
- Update health status to use provider-agnostic interface
- Add PrismaModule to LlmModule for manager service
- Maintain backward compatibility with existing API
- Achieve 89.74% test coverage
Fixes#127
Co-Authored-By: Claude Opus 4.5 <[email protected]>
Implemented centralized service for managing multiple LLM provider instances.
Architecture:
- LlmManagerService manages provider lifecycle and selection
- Loads provider instances from Prisma database on startup
- Maintains in-memory registry of active providers
- Factory pattern for provider instantiation
Core Features:
- Database integration via PrismaService
- Provider initialization on module startup (OnModuleInit)
- Get provider by ID
- Get all active providers
- Get system default provider
- Get user-specific provider with fallback to system default
- Health check all registered providers
- Dynamic registration/unregistration (hot reload)
- Reload from database without restart
Provider Selection Logic:
- User-level providers: userId matches, is enabled
- System-level providers: userId is NULL, is enabled
- Fallback: system default if no user provider found
- Graceful error handling with detailed logging
Integration:
- Added to LlmModule providers and exports
- Uses PrismaService for database queries
- Factory creates OllamaProvider from config
- Extensible for future providers (Claude, OpenAI)
Testing:
- 31 comprehensive unit tests
- 93.05% code coverage (exceeds 85% requirement)
- All error scenarios covered
- Proper mocking of dependencies
Quality Gates:
- ✅ All 31 tests passing
- ✅ 93.05% coverage
- ✅ Linting clean
- ✅ Type checking passed
- ✅ Code review approved
Fixes#126
Co-Authored-By: Claude Sonnet 4.5 <[email protected]>
Implemented first concrete LLM provider following the provider interface pattern.
Implementation:
- OllamaProvider class implementing LlmProviderInterface
- All required methods: initialize(), checkHealth(), listModels(), chat(), chatStream(), embed(), getConfig()
- OllamaProviderConfig extending LlmProviderConfig
- Proper error handling with NestJS Logger
- Configuration immutability protection
Features:
- System prompt injection support
- Temperature and max tokens configuration
- Embedding with truncation control (defaults to enabled)
- Streaming and non-streaming chat completions
- Health check with model listing
Testing:
- 21 comprehensive test cases (TDD approach)
- 100% statement, function, and line coverage
- 86.36% branch coverage (exceeds 85% requirement)
- All error scenarios tested
- Mock-based unit tests
Code Review Fixes:
- Fixed truncate logic to match original LlmService behavior (defaults to true)
- Added test for system prompt deduplication
- Increased branch coverage from 77% to 86%
Quality Gates:
- ✅ All 21 tests passing
- ✅ Linting clean
- ✅ Type checking passed
- ✅ Code review approved
Fixes#123
Co-Authored-By: Claude Sonnet 4.5 <[email protected]>
- Add Ollama client library (ollama npm package)
- Create LlmService for chat completion and embeddings
- Support streaming responses via Server-Sent Events
- Add configuration via env vars (OLLAMA_HOST, OLLAMA_TIMEOUT)
- Create endpoints: GET /llm/health, GET /llm/models, POST /llm/chat, POST /llm/embed
- Replace old OllamaModule with new LlmModule
- Add comprehensive tests with >85% coverage
Closes#21