156 lines
5.1 KiB
Python
156 lines
5.1 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Pydantic AI 聊天智能体和相关模块
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"""
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# 列举导入模块
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from enum import StrEnum
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from typing import AsyncGenerator, List, Optional, Union
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from uuid import uuid4
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from pydantic_ai import Agent as PydanticAIAgent
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from pydantic_ai.capabilities import AgentCapability
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from pydantic_ai.messages import (
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AgentStreamEvent,
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ModelMessage,
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PartStartEvent,
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TextPart,
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ThinkingPart,
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LoadCapabilityCallPart,
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)
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from pydantic_ai.models.openai import OpenAIChatModel
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from pydantic_ai.output import OutputSpec
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from pydantic_ai.providers.openai import OpenAIProvider
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from pydantic_ai.run import AgentRunResultEvent
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from pydantic import BaseModel, Field
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DEFAULT_INSTRUCTIONS: str = """
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# 角色
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专业友好AI助手，结构化解答各类问题。
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# 输出硬性规则
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1. 全文强制标准Markdown，禁止纯文本；不要额外说明排版格式，直接输出内容；
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2. 层级使用 `#/##/###`，列表用 `-` 无序列表或数字有序列表；
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3. 代码块用 ```语言名``` 包裹；
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4. 重点内容标注 **粗体**/*斜体*；
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5. 思考、工具日志仅输出文本，适配前端折叠面板，禁止输出HTML标签；
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6. 内容分点拆分，排版整洁适配前端Markdown渲染。
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# 行文要求
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语言通俗，逻辑完整简洁，无多余废话。
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"""
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class Kind(StrEnum):
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"""种类"""
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TEXTSTART = "text_start"
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THINKINGSTART = "thinking_start"
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TOOL_NAME = "tool_name"
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TOOL_ARGS = "tool_args"
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TOOL_RETURN = "tool_return"
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FINISHED = "finished"
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ERROR = "error"
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class Event(BaseModel):
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"""
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片段类
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"""
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part_index: Optional[int] = Field(default=None, description="片段索引")
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kind: Kind = Field(..., description="事件种类")
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tool_name: Optional[str] = Field(default=None, description="工具名称")
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args: Optional[LoadCapabilityArgs] = Field(default=None, description="工具参数")
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content: Optional[str] = Field(default=None, description="事件内容")
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class Agent:
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"""
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基于 Pydantic AI 封装的智能体
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"""
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def __init__(
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self,
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chat_id: str,
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instructions: Optional[str] = None,
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output_type: OutputSpec = str,
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capabilities: Optional[List[AgentCapability]] = None,
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retries: int = 1,
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):
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"""
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初始化
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:param chat_id: 聊天唯一标识
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:param instructions: 指令
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:param capabilities: 技能列表，默认为不使用技能
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:param output_type: 输出类型
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:param retries: 重试次数，默认为1次
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:return: 智能体实例
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"""
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# 聊天唯一标识
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self.chat_id = chat_id
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# 一次聊天（chat）包含若干论对话（dialog），每轮对话包含用户提示词（user_prompt）和输出（output）。其中，输出包含若干片段（Part）
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# 本轮对话新增消息列表
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self.new_messages: List[ModelMessage] = []
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# 若指令为空则使用默认指令
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if not instructions:
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instructions = DEFAULT_INSTRUCTIONS
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# 初始化智能体
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self.agent = PydanticAIAgent(
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model=OpenAIChatModel(
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model_name="deepseek-v4-flash",
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provider=OpenAIProvider(
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base_url="https://tokenhub.tencentmaas.com/v1",
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api_key="sk-D9Y1mCe8VlvNqLuSC4mAjqEwxJ2nW4C0h8a7EPn8kg9RLsHq",
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),
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),
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instructions=instructions,
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capabilities=capabilities,
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output_type=output_type,
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retries=retries,
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)
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async def run(
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self,
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user_prompt: str | List[str],
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message_history: Optional[List[ModelMessage]] = None,
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) -> AsyncGenerator[Event]:
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"""
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运行
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:param user_prompt: 用户提示词（用户提示词）
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:param flush_delay: 刷新延迟时长（单位为秒）
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:yield: AsyncGenerator[Event]
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"""
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async with self.agent.run_stream_events(
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user_prompt=user_prompt,
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message_history=message_history,
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) as events:
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async for event in events:
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match event:
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case PartStartEvent():
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part = event.part
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match part:
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case TextPart(content=content):
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yield Event(
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kind=Kind.TEXTSTART,
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part_index=event.index,
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content=content,
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)
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case ThinkingPart(content=content):
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yield Event(
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kind=Kind.THINKINGSTART,
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part_index=event.index,
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content=content,
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)
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case LoadCapabilityCallPart():
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yield Event(
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kind=Kind.TOOL_NAME,
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part_index=event.index,
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)
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