- Deleted Zhongshu Planner agent documentation as it is no longer needed.
- Removed agent instruction documentation to streamline task assignment process.
- Eliminated tasks schema file to simplify task management.
- Updated Codex Lens installation instructions to use 'uv' for pip commands.
- Bumped version to 0.4.1 in pyproject.toml and adjusted dependencies.
- Enhanced API embedding with text truncation and automatic batch splitting on 413 errors.
- Improved indexing pipeline with metadata registration and progress reporting.
- Converted index_project and index_update functions to async for better performance.
- Introduced APIEmbedder class to handle embeddings via a remote HTTP API.
- Implemented token packing to optimize batch sizes based on token limits.
- Added support for multiple API endpoints with round-robin dispatching.
- Included retry logic for API calls with exponential backoff on failures.
- Enhanced indexing pipeline with file exclusion checks and smart chunking strategies.
- Updated tests to cover new APIEmbedder functionality and ensure robustness.
- Updated `cmd_search` to include line numbers and content in search results.
- Modified `IndexingPipeline` to handle start and end line numbers for chunks.
- Enhanced `FTSEngine` to support storing line metadata in the database.
- Improved `SearchPipeline` to return line numbers and full content in search results.
- Added unit tests for bridge, FTS delete operations, metadata store, and watcher functionality.
- Introduced a `.gitignore` file to exclude specific directories.
- Updated agent spawning from `Task()` to `Agent()` across various files to align with new standards.
- Enhanced the `code-developer` agent description to clarify its invocation context and responsibilities.
- Introduced a new `delegation-check` skill to validate command delegation prompts against agent role definitions, ensuring content separation and conflict detection.
- Established comprehensive separation rules for command delegation prompts and agent definitions, detailing ownership and conflict patterns.
- Improved documentation for command and agent design specifications to reflect the updated spawning patterns and validation processes.
- Add lightweight model_manager.py: cache detection (with fastembed name
remapping), HF mirror download via huggingface_hub, auto model.onnx
fallback from quantized variants
- Config defaults: embed_model -> bge-small-en-v1.5 (384d), reranker ->
Xenova/ms-marco-MiniLM-L-6-v2 (fastembed 0.7.4 compatible)
- Add model_cache_dir and hf_mirror config options
- embed/local.py and rerank/local.py use model_manager for cache-aware loading
- Fix FastEmbedReranker to handle both float list and RerankResult formats
- E2E test uses real FastEmbedReranker instead of mock KeywordReranker
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Rename the v2 search engine package to `codexlens-search` (import as
`codexlens_search`) so it can be installed independently and consumed
by the original codex-lens as a dependency. This avoids package path
conflicts since both previously used `src/codexlens/`.
Changes:
- Rename src/codexlens/ -> src/codexlens_search/
- Update pyproject.toml: name=codexlens-search, version=0.2.0
- Update all imports across source, tests, and scripts
- Add public API exports in __init__.py (Config, SearchPipeline,
IndexingPipeline, SearchResult, IndexStats)
37/37 tests pass. No functional changes.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
