📄 CodeRabbit inference engine (AGENTS.md)

src/**/*.py: Use absolute imports for internal modules (e.g., from authentication import get_auth_dependency)
Use from llama_stack_client import AsyncLlamaStackClient for Llama Stack imports
Check constants.py for shared constants before defining new ones
All modules start with descriptive docstrings explaining purpose
Use logger = get_logger(__name__) from log.py for module logging
Type aliases defined at module level for clarity
All functions require docstrings with brief descriptions
Use complete type annotations for function parameters and return types
Use union types with modern syntax: str | int instead of Union[str, int]
Use Optional[Type] for optional types in type annotations
Use snake_case with descriptive, action-oriented names for functions (get_, validate_, check_)
Avoid in-place parameter modification anti-patterns: return new data structures instead of modifying parameters
Use async def for I/O operations and external API calls
Handle APIConnectionError from Llama Stack in error handling
Use logger.debug() for detailed diagnostic information
Use logger.info() for general information about program execution
Use logger.warning() for unexpected events or potential problems
Use logger.error() for serious problems that prevented function execution
All classes require descriptive docstrings explaining purpose
Use PascalCase for class names with descriptive names and standard suffixes: Configuration, Error/Exception, Resolver, Interface
Use complete type annotations for all class attributes; avoid using Any
Follow Google Python docstring conventions for all modules, classes, and functions
Include Parameters:, Returns:, Raises: sections in function docstrings as needed

Files:

• src/app/main.py

📄 CodeRabbit inference engine (AGENTS.md)

src/app/**/*.py: Use from fastapi import APIRouter, HTTPException, Request, status, Depends for FastAPI dependencies
Use FastAPI HTTPException with appropriate status codes for API endpoint error handling

Files:

• src/app/main.py

📄 CodeRabbit inference engine (AGENTS.md)

tests/**/*.py: Use pytest for all unit and integration tests; do not use unittest
Use pytest.mark.asyncio marker for async unit tests

Files:

• tests/unit/models/responses/test_error_responses.py

📄 CodeRabbit inference engine (AGENTS.md)

Use pytest-mock for AsyncMock objects in unit tests

Files:

• tests/unit/models/responses/test_error_responses.py