Use an LLM Gateway - #2
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- Add litellm-gateway module with comprehensive LLM gateway functionality - Create generate_responses_litellm.py for multi-provider support - Add extensive documentation for architecture and integration - Include setup script for easy installation - Support for OpenAI, Anthropic, Together, Azure, and more - Implement caching, batching, and resume functionality - Maintain backward compatibility with existing FIFE code This integration provides: - Multi-provider flexibility (no vendor lock-in) - Cost optimization through caching - Improved reliability with automatic retries - Testing support with mock completions - Drop-in replacement for existing Together AI integration
- Add test_litellm_integration.py to verify setup - Create comprehensive .env.example with all provider options - Tests confirm successful integration and functionality
- Add setup guide linking to GitHub repository - Document installation options - Include quick start instructions - Reference to glennmatlin/litellm-gateway repository
- Move test_litellm_integration.py to tests/ directory - Remove setup_litellm_gateway.sh in favor of uv commands - Add litellm as project dependency in pyproject.toml - Update documentation for uv-based installation - Create README_SETUP.md with complete environment setup guide - Fix litellm-gateway pyproject.toml author email issue - Configure Python 3.12 environment with uv
- Update submodule to latest commit - Submodule now uses 'main' branch instead of 'master'
Phase 1 - Quick Wins: - Remove all __pycache__ directories and .pyc files - Remove egg-info build artifacts - Auto-fix 61 ruff violations with safe fixes - Format 8 Python files with ruff formatter Phase 2 - Configuration Standardization: - Consolidate dependency management to pyproject.toml only - Remove requirements.txt to eliminate dual-system confusion - Fix import organization in finance_instructions.py (15→7 lines) - Update .gitignore with project-specific patterns Results: - Reduced ruff violations from 955 to 336 (65% improvement) - Removed ~2MB of build artifacts - All 298 tests passing successfully - Single source of truth for dependencies established
…modernization Phase 3 - Test Consolidation: - Merge test_instruction_classes.py and test_instruction_classes_improved.py - Migrate 5 unique test classes to consolidated file - Remove redundant test file after verification - Retain parametrized test structure for better maintainability - 20% reduction in test code (948 lines → 761 lines) Phase 4 - Type Annotation Modernization: - Update to Python 3.12+ type hints (Dict → dict, List → list) - Replace Optional[X] with X | None union syntax - Fix boolean comparisons (== True → is True) - Fix unused import warnings with proper assertions Results: - Reduced ruff violations from 336 to 147 (56% improvement) - All 283 tests passing successfully - Single consolidated test file for instruction classes - Modern, consistent type annotations throughout - Better IDE support and type checking
- Update litellm-gateway submodule to latest with type annotations - Revert finance_instructions.py import consolidation (auto-formatted back) - Remove CLEANUP_PLAN.md (cleanup completed successfully) All 4 phases of cleanup now complete: - Phase 1: Build artifacts removed ✅ - Phase 2: Configuration standardized ✅ - Phase 3: Tests consolidated ✅ - Phase 4: Type annotations modernized ✅ Final metrics: - Ruff violations: 955 → 147 (85% reduction) - Test files: 2 → 1 (consolidated) - All 283 tests passing
…m version Migrate from single-provider to multi-provider response generation: - Remove generate_responses_together.py (187 lines) - Update pyproject.toml to remove deprecated module - Update README.md with new litellm commands - Create comprehensive MIGRATION_NOTES.md Benefits: - Single codebase for all LLM providers (OpenAI, Anthropic, Together, etc.) - Full backward compatibility with Together AI - Enhanced features: batch processing, caching, parallel execution - Reduced code duplication and maintenance overhead - Better error handling through unified litellm interface Migration: Simply add --provider together to existing commands All 283 tests passing after migration
- Simplified naming by removing unnecessary _litellm suffix - Updated all documentation references - Updated pyproject.toml configuration - Updated test references - All functionality remains unchanged
- Added research manuscript repository as submodule in manuscript/ - Repository: https://github.com/glennmatlin/FIFE_manuscript - Enables easy access to manuscript while working on the FIFE project - Fixed litellm-gateway tracking (now a regular directory, not submodule)
- Re-added litellm-gateway as a proper git submodule - Repository: https://github.com/glennmatlin/litellm-gateway - Fixed tracking issue where it was showing as untracked - Both submodules (litellm-gateway and manuscript) now properly configured
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Summary
This PR introduces a comprehensive LLM gateway integration using the
litellmlibrary, enabling multi-provider LLM support for the FIFE evaluation framework.Changes
🚀 Major Features
generate_responses.py) replaces provider-specific implementations📁 File Changes
generate_responses.py- Unified multi-provider response generation scriptlitellm-gateway/submodule - Reusable LLM gateway modulemanuscript/submodule - Research manuscript repositorygenerate_responses_together.py- Deprecated in favor of unified script🧹 Cleanup Operations Completed
📊 Impact
Testing
Migration Guide
For users upgrading from
generate_responses_together.py:Documentation
Checklist
Ready to merge! 🎉