61 lines
1.7 KiB
Python
61 lines
1.7 KiB
Python
# -*- coding: utf-8 -*-
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"""
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LLM配置文件 - 千问模型配置
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"""
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from src.agent.llm_client import LLMConfig
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# 千问模型配置
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QWEN_CONFIG = LLMConfig(
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provider="qwen",
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api_key="sk-c0dbefa1718d46eaa897199135066f00", # 请替换为您的千问API密钥
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base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
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model="qwen-plus-latest", # 可选: qwen-turbo, qwen-plus, qwen-max
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temperature=0.7,
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max_tokens=2000
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)
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# 其他模型配置示例
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OPENAI_CONFIG = LLMConfig(
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provider="openai",
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api_key="sk-your-openai-api-key-here",
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model="gpt-3.5-turbo",
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temperature=0.7,
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max_tokens=2000
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)
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ANTHROPIC_CONFIG = LLMConfig(
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provider="anthropic",
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api_key="sk-ant-your-anthropic-api-key-here",
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model="claude-3-sonnet-20240229",
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temperature=0.7,
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max_tokens=2000
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)
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# 默认使用千问模型
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DEFAULT_CONFIG = QWEN_CONFIG
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def get_default_llm_config() -> LLMConfig:
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"""
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获取默认的LLM配置
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优先从统一配置管理器获取,如果失败则使用本地配置
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"""
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try:
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from src.config.unified_config import get_config
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config = get_config()
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llm_dict = config.get_llm_config()
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# 创建LLMConfig对象
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return LLMConfig(
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provider=llm_dict.get("provider", "qwen"),
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api_key=llm_dict.get("api_key", ""),
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base_url=llm_dict.get("base_url", "https://dashscope.aliyuncs.com/compatible-mode/v1"),
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model=llm_dict.get("model", "qwen-plus-latest"),
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temperature=llm_dict.get("temperature", 0.7),
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max_tokens=llm_dict.get("max_tokens", 2000)
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)
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except Exception:
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# 如果统一配置不可用,使用本地配置
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return DEFAULT_CONFIG
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