59 lines
2.1 KiB
Python
59 lines
2.1 KiB
Python
import re
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import os
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from typing import Type, TypeVar, Any, Generic
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from pydantic import BaseModel, ValidationError
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from pydantic_ai import Agent, RunContext
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from pydantic_ai.models.openai import OpenAIChatModel
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T = TypeVar('T', bound=BaseModel)
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class DeepSeekReasonerAgent(Generic[T]):
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"""
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专为 DeepSeek-V4/R1 设计的适配器。
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将结构化输出降级为文本解析模式，以规避工具调用(Tool Calling)的兼容性问题。
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"""
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def __init__(
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self,
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model_id: str = "deepseek-v4-pro",
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output_type: Type[T] = str,
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system_prompt: str = "",
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deps_type: Type[Any] = None
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):
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# 1. 强制声明输出为 str，确保底层不发送 tools 字段
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self.output_schema = output_type
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# 2. 注入强制格式指令到 System Prompt
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format_instruction = (
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f"\n\nCRITICAL: 你必须输出且只能输出一段纯 JSON 格式的数据，"
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f"并包裹在 ```json 和 ``` 之间。格式必须符合以下 Pydantic 模型结构：\n"
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f"{self.output_schema.model_json_schema()}"
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)
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self.agent = Agent(
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model=OpenAIChatModel(model_id),
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output_type=str, # 内部通信用字符串
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system_prompt=system_prompt + format_instruction,
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deps_type=deps_type,
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retries=0
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)
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async def run(self, user_prompt: str, deps: Any = None) -> T:
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# 调用 PydanticAI 原生 run
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result = await self.agent.run(user_prompt, deps=deps)
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return self._parse_json(result.output)
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def _parse_json(self, text: str) -> T:
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# 使用正则提取 JSON 块
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match = re.search(r'```json\s*(.*?)\s*```', text, re.DOTALL)
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json_str = match.group(1).strip() if match else text
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# 如果正则没抓到，尝试寻找首尾大括号
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if not json_str.startswith('{'):
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json_str = text[text.find('{'):text.rfind('}') + 1]
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try:
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return self.output_schema.model_validate_json(json_str)
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except ValidationError as e:
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raise ValueError(f"DeepSeek 返回格式非法: {e}\n原文: {text}") |