Implements Phase 5: OpenAI Chat Completions compatibility layer
Features:
- Wraps Responses API for single source of truth
- Automatically enables reasoning generation
- Converts reasoning items to <think> tags for Open WebUI
- Maintains OpenAI-compatible chat completion format
- Supports both streaming and non-streaming modes
- Pipeline prefix preservation for model names
- System message handling
Architecture:
- Service layer calls Responses API internally
- Streams word-by-word for smooth UX
- Reasoning displayed in thought bubbles (Open WebUI)
- Main response shown separately from thinking
Error Handling:
- Enhanced exception types (RateLimitError, ContextLengthError)
- OpenAI-compatible error format
- Graceful error propagation from Responses API
Testing:
- 6 unit tests for chat router functionality
- 6 unit tests for streaming wrapper behavior
- Total: 12 tests with comprehensive coverage
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implement application factory pattern with clean main.py.
Separate routers for each domain, centralized exception handling.
Core Router (src/core/router.py):
- Root endpoint (/)
- Health check endpoint (/health)
- Simple status responses
- No prefix (mounted at root)
Main Application (src/main.py):
- create_application() factory function
- Clean configuration-focused main.py
- CORS middleware setup
- Exception handler registration
- Router registration with proper prefixes
- Global config integration
Application Architecture:
- Application factory pattern for testability
- Routers imported from separate controllers
- Exception handlers in dedicated function
- All routes cleanly separated by domain
Exception Handling:
- OpenAI-compatible error format
- Custom AppException handler
- Validation error handler (422)
- Generic exception handler (500)
Following Best Practices:
- Separation of concerns
- Factory pattern for DI
- Clean main.py (config only)
- Type hints throughout
Status: Production-ready structure
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Add production-ready async HTTP client for Ollama API communication
with proper error handling and dependency injection.
Ollama Client (src/ollama/client.py):
- Async context manager for connection lifecycle
- Non-streaming chat endpoint
- Streaming chat endpoint with async generator
- Model listing endpoint
- Health check endpoint
- Timeout configuration per request
- Comprehensive error handling with custom exceptions
- FastAPI dependency injection support
Ollama Schemas (src/ollama/schemas.py):
- OllamaMessage: Chat message format
- OllamaChatRequest: Request with model, messages, options
- OllamaChatResponse: Complete chat response
- OllamaModelInfo: Model metadata
- OllamaModelsResponse: Model list response
Features:
- Async/await throughout for non-blocking I/O
- Connection pooling via httpx.AsyncClient
- Configurable timeouts (default: 120s)
- Proper exception mapping (connection errors, timeouts)
- Ready for integration (currently not connected to routes)
Following Best Practices:
- Async context manager pattern
- Dependency injection for FastAPI routes
- Separation of concerns (client vs schemas)
- Type hints throughout
- Comprehensive logging
Status: Ready for integration (mock responses used in routes currently)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implement global application configuration and custom Pydantic models
following FastAPI best practices.
Core Configuration (src/core/config.py):
- BaseSettings with environment variable support
- Split configuration by domain (following best practices)
- Ollama connection settings (host, model, timeouts)
- API configuration (host, port, prefix)
- CORS settings
- 20-second streaming timeout per turn
- Cached configuration with @lru_cache
Custom Base Models (src/core/models.py):
- CustomBaseModel for consistent serialization
- ISO datetime formatting
- Alias population support
- Enum value serialization
- Validation on assignment
- serializable_dict() for logging/debugging
Exception Handling (src/core/exceptions.py):
- Base AppException with status codes
- OllamaConnectionError (503)
- OllamaTimeoutError (504)
- ModelNotFoundError (404)
- ValidationError (422)
- OpenAI-compatible error structure
Benefits:
- Consistent configuration across domains
- Type-safe settings with validation
- Easy environment override via .env
- Predictable error responses
- Better debugging with serializable models
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
jpmschweitzerandClaude