The multi-user-basic integration job was consistently failing with
`CancelledError: Cancelled via cancel scope ... by <async_generator_athrow>`
followed by a cascade of `anyio.ClosedResourceError` in every subsequent
test. Root cause: `create_mcp_client_session` was declared as an async
generator driven by `async for session in ...:`, so Python's generator
finalizer (`aclose`) ran under pytest-asyncio's cleanup task instead of
the task that owned the nested `streamablehttp_client` cancel scope.
anyio then raised when the inner task group saw its scope being exited
from a foreign task, leaving the memory object streams half-closed and
poisoning the rest of the session.
Switching to `@asynccontextmanager` + `async with ... as session:` makes
`__aenter__`/`__aexit__` run in the frame that owns the context manager,
satisfying anyio's structured concurrency requirements.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Increase sampling timeout from 30s to 300s in semantic.py to accommodate
slower local LLMs like Ollama
- Refactor RAG integration tests to support multiple providers (ollama,
openai, anthropic, bedrock)
- Remove unnecessary embedding_provider fixture since MCP server handles
embeddings internally
- Add --provider flag via tests/integration/conftest.py
- Add provider_fixtures.py with factory functions for generation providers
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Adds OpenAI provider to the unified provider architecture (ADR-015),
supporting:
- OpenAI API (api.openai.com)
- GitHub Models API (models.github.ai/inference)
- OpenAI-compatible endpoints (Fireworks, Together, etc.)
Features:
- Embedding support with text-embedding-3-small/large models
- Text generation via chat completions API
- Automatic retry with exponential backoff for rate limits
- Provider auto-detection in registry (priority after Bedrock)
Environment variables:
- OPENAI_API_KEY: API key (required)
- OPENAI_BASE_URL: Base URL override (optional)
- OPENAI_EMBEDDING_MODEL: Embedding model (default: text-embedding-3-small)
- OPENAI_GENERATION_MODEL: Generation model (default: gpt-4o-mini)
Also adds:
- Integration tests for RAG pipeline with MCP sampling
- MCP client sampling support for integration tests
- Ground truth Q&A pairs for Nextcloud User Manual
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
