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- Add Attachment Pydantic model for file validation - Add MetadataDict TypedDict for type-safe metadata hints - File-based retrieval bypasses semantic search when attachments provided - Parallel chunk retrieval using asyncio.gather in vectordb - File existence check before querying (prevents empty queries) - Filter expression pattern like async_search (handles ['all'] and partition lists) - Timeout handling with graceful degradation - Add design spec to docs/superpowers/specs/ - Add AGENTS.md with build/lint/test commands and code style guidelines
- Add Attachment model validation tests (11 tests) - Add filter expression building tests (3 tests) - Add attachment filtering tests (3 tests) - Add API integration tests for attachments (8 tests) - Fix MetadataDict TypedDict in openai.py Test coverage: - Attachment model: required id, all fields, validation errors - MetadataDict: empty, with attachments, with all fields, unknown fields - Filter expressions: specific partitions, all partitions - API endpoint: empty attachments, valid format, missing id, empty id, extra fields, null, single attachment
- Two strategies: Refine (iterative) and Map-Reduce (parallel) - FileReducer class in components/file_reducer.py - Integration with RagPipeline for on-demand reduction - Remove MetadataDict TypedDict, use dict[str, Any] for metadata - Strategy field added to Attachment model (default: 'refine') - Configuration in .hydra_config/config.yaml - Auto-switch from refine to map_reduce for large chunk counts - Proper metadata preservation (file_id, partition) - Refine strategy with custom system prompt - Map-Reduce reuses existing system_prompt_map from map_reduce.py - Comprehensive test coverage including edge cases Spec review: All issues addressed and approved
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✨ Finishing Touches🧪 Generate unit tests (beta)
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