Add full integration for the Nextcloud News (RSS/Atom reader) app:
- Add NewsClient with complete CRUD operations for folders, feeds, and items
- Add 8 read-only MCP tools for listing/getting folders, feeds, items
- Add Pydantic models for News entities with camelCase alias support
- Add vector sync support for starred + unread items
- Add HTML to Markdown converter using markdownify for better embeddings
- Add Docker post-install hook to enable News app
- Add 25 unit tests for NewsClient API methods
Vector sync indexes starred and unread items, providing a balanced approach
that captures important (starred) and current (unread) content without
indexing the entire article history.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Add exponential backoff retry handling for OpenAI API rate limits
(429 errors). This is needed for GitHub Models API which has stricter
rate limits than standard OpenAI API.
- Add retry_on_rate_limit decorator with exponential backoff
- Max 5 retries with delays: 2s → 4s → 8s → 16s → 32s
- Apply to embed(), _embed_batch_request(), and generate() methods
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <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>
The refactor in fafeaf3 moved background tasks to Starlette server lifespan
but broke nc_get_vector_sync_status because it still looked for streams in
FastMCP's AppContext (lifespan_context).
Add VectorSyncState module singleton to bridge the lifespans:
- starlette_lifespan sets the singleton when starting background tasks
- app_lifespan_basic reads from singleton and includes in AppContext
- MCP tools can now access document_receive_stream for pending count
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
The refactor in fafeaf3 moved background tasks to Starlette server lifespan
but broke nc_get_vector_sync_status because it still looked for streams in
FastMCP's AppContext (lifespan_context).
Add VectorSyncState module singleton to bridge the lifespans:
- starlette_lifespan sets the singleton when starting background tasks
- app_lifespan_basic reads from singleton and includes in AppContext
- MCP tools can now access document_receive_stream for pending count
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Move scanner/processor tasks from FastMCP session lifespan to Starlette
server lifespan (correct architecture: background tasks run once at
server level, not per-session)
- Change default CLI transport from SSE to streamable-http
- Remove SSE transport option from CLI (SSE is deprecated)
- Remove SSE client session factory from test fixtures
- Add tracing instrumentation to BM25 hybrid search operations for
better observability
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Change create_tag() to use WebDAV POST instead of OCS API which
returned 404 in some Nextcloud versions
- Add llm_judge() helper that evaluates system output against ground
truth with simple TRUE/FALSE prompt
- Replace keyword-based assertions in RAG tests with LLM judge for
more flexible semantic evaluation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add get_file_info() to get file info including file ID via PROPFIND
- Add create_tag() to create system tags via OCS API
- Add get_or_create_tag() for idempotent tag creation
- Add assign_tag_to_file() to assign tags to files via WebDAV
- Add remove_tag_from_file() to remove tags from files
Also refactors RAG evaluation:
- Add indexed_manual_pdf fixture using existing nc_client/nc_mcp_client
- Remove manual tag creation steps from workflow (now handled by fixture)
- Add comprehensive unit tests for new WebDAV methods
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Adds a manually-triggered GitHub Actions workflow for RAG evaluation:
- Builds Nextcloud User Manual PDF from documentation source
- Uploads PDF to Nextcloud via WebDAV
- Tags file with 'vector-index' for vector sync indexing
- Waits for vector sync to complete
- Runs RAG integration tests with OpenAI/GitHub Models API
Inputs:
- embedding_model: OpenAI embedding model (default: openai/text-embedding-3-small)
- generation_model: OpenAI generation model (default: openai/gpt-4o-mini)
🤖 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>
Chris Coutinho