mirror of
https://github.com/Xe138/AI-Trader.git
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Bill
e689a78b3f
Implements factory pattern to create appropriate chat model based on provider prefix in basemodel string. Supported providers: - deepseek/*: Uses ChatDeepSeek (native tool calling) - openai/*: Uses ChatOpenAI - others: Fall back to ChatOpenAI (OpenAI-compatible) This enables native DeepSeek integration while maintaining backward compatibility with existing OpenAI-compatible providers.
69 lines
2.1 KiB
Python
69 lines
2.1 KiB
Python
"""
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Model factory for creating provider-specific chat models.
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Supports multiple AI providers with native integrations where available:
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- DeepSeek: Uses ChatDeepSeek for native tool calling support
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- OpenAI: Uses ChatOpenAI
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- Others: Fall back to ChatOpenAI (OpenAI-compatible endpoints)
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"""
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from typing import Any
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from langchain_openai import ChatOpenAI
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from langchain_deepseek import ChatDeepSeek
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def create_model(
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basemodel: str,
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api_key: str,
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base_url: str,
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temperature: float,
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timeout: int
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) -> Any:
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"""
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Create appropriate chat model based on provider.
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Args:
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basemodel: Model identifier (e.g., "deepseek/deepseek-chat", "openai/gpt-4")
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api_key: API key for the provider
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base_url: Base URL for API endpoint
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temperature: Sampling temperature (0-1)
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timeout: Request timeout in seconds
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Returns:
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Provider-specific chat model instance
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Examples:
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>>> model = create_model("deepseek/deepseek-chat", "key", "url", 0.7, 30)
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>>> isinstance(model, ChatDeepSeek)
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True
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>>> model = create_model("openai/gpt-4", "key", "url", 0.7, 30)
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>>> isinstance(model, ChatOpenAI)
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True
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"""
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# Extract provider from basemodel (format: "provider/model-name")
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provider = basemodel.split("/")[0].lower() if "/" in basemodel else "unknown"
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if provider == "deepseek":
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# Use native ChatDeepSeek for DeepSeek models
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# Extract model name without provider prefix
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model_name = basemodel.split("/", 1)[1] if "/" in basemodel else basemodel
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return ChatDeepSeek(
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model=model_name,
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api_key=api_key,
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base_url=base_url,
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temperature=temperature,
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timeout=timeout
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)
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else:
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# Use ChatOpenAI for OpenAI and OpenAI-compatible endpoints
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# (Anthropic, Google, Qwen, etc. via compatibility layer)
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return ChatOpenAI(
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model=basemodel,
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api_key=api_key,
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base_url=base_url,
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temperature=temperature,
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timeout=timeout
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)
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