- 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.
11 lines
286 B
Python
11 lines
286 B
Python
from .client import EmbedderClient
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from .openai import OpenAIEmbedder, OpenAIEmbedderConfig
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from .chutes import ChutesEmbedder, ChutesEmbedderConfig
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__all__ = [
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'EmbedderClient',
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'OpenAIEmbedder',
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'OpenAIEmbedderConfig',
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'ChutesEmbedder',
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'ChutesEmbedderConfig',
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]
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