* 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 |
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Website
This website is built using Docusaurus 2, a modern static website generator.
Installation
$ yarn
Local Development
$ yarn start
This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.
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$ yarn build
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Deployment
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$ USE_SSH=true yarn deploy
Not using SSH:
$ GIT_USER=<Your GitHub username> yarn deploy
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