- Introduced CHUTES_API_TOKEN in .env.example files for configuration. - Updated README.md in quickstart example to include Chutes API setup. - Created quickstart_chutes.py example for demonstrating Chutes integration. - Added ChutesEmbedder and ChutesClient classes for embedding and LLM functionalities. - Updated LLM and embedder provider configurations to support Chutes. - Enhanced factories to include Chutes client and embedder. - Modified schema.py to define Chutes provider configuration. - Updated mcp_server configuration files to integrate Chutes API. - Added necessary dependencies in pyproject.toml for Chutes support. |
||
|---|---|---|
| .. | ||
| __init__.py | ||
| anthropic_client.py | ||
| azure_openai_client.py | ||
| chutes_client.py | ||
| client.py | ||
| config.py | ||
| errors.py | ||
| gemini_client.py | ||
| groq_client.py | ||
| openai_base_client.py | ||
| openai_client.py | ||
| openai_generic_client.py | ||
| utils.py | ||