mirror of
https://github.com/tiennm99/litellm.git
synced 2026-07-15 06:19:29 +00:00
0717376andGitHub
12f02f6c54
* feat: Add GigaChat provider support Add native support for GigaChat API (Sber AI, Russia's leading LLM). Supported features: - Chat completions (sync/async) - Streaming (sync/async) - Function calling / Tools - Structured output via JSON schema (emulated through function calls) - Image input (base64 and URL) - Embeddings Closes #18515 * fix: resolve mypy type errors in GigaChat handler - Fix _prepare_file_data return type (use 3-tuple for cleaner type flow) - Add type annotations for lists in _process_content_parts methods - Add type annotations in _collapse_user_messages - Use ChatCompletionToolCallChunk for proper tool_use typing - Add type: ignore[override] for astreaming async generator * refactor(gigachat): migrate to BaseConfig pattern * fix: remove unused imports * fix: resolve mypy type errors * fix: mypy type errors * refactor: address review feedback for GigaChat provider - Remove singleton pattern, reuse litellm HTTPHandler - Move constants/errors to transformation files, delete common_utils.py - Add models to model_prices_and_context_window.json - Fix ssl_verify not passed to HTTP client for embeddings * docs: update GigaChat documentation with ssl_verify requirement
In total litellm runs 1000+ tests
[02/20/2025] Update:
To make it easier to contribute and map what behavior is tested,
we've started mapping the litellm directory in tests/test_litellm
This folder can only run mock tests.