fix(mypy): add type stubs and fix typing issues #3938
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Create a new type_checking dependency group that includes: - All type stubs (moved from dev group for better organization) - Optional runtime dependencies needed for complete mypy coverage (streamlit, anthropic, databricks-sdk, fairscale, torchtune, etc.) This reduces mypy errors from 73 to 59 by providing proper type information for all optional features. The dev group is now cleaner with only actual development tools. To run mypy with full type coverage: uv run --group dev --group type_checking mypy 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
Add lm-format-enforcer to type_checking dependencies and update the pre-commit mypy hook to use local repo with uv run --group dev --group type_checking for better integration with dependency groups. This reduces mypy errors from 73 to 58 (one additional error fixed).
… files This commit achieves zero mypy errors across all 430 source files by addressing type issues in post-training providers, model implementations, and testing infrastructure. Key changes: - Created HFAutoModel Protocol for HuggingFace models to provide type safety without requiring complete type stubs - Added module overrides in pyproject.toml for libraries lacking type stubs (torchtune, fairscale, torchvision, datasets, etc.) - Fixed type issues in databricks provider and api_recorder Using centralized mypy.overrides instead of scattered inline suppressions provides cleaner code organization.
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Adds type stubs and fixes mypy errors for better type coverage.
Changes:
Note: ~1,200 errors remain in excluded files (see pyproject.toml exclude list).