2025-10-17 18:13:03 +08:00
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from __future__ import annotations
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import typing
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import json
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import uuid
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import base64
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from .. import runner
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from ...core import app
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import langbot_plugin.api.entities.builtin.provider.message as provider_message
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from ...utils import image
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import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
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from libs.coze_server_api.client import AsyncCozeAPIClient
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@runner.runner_class('coze-api')
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class CozeAPIRunner(runner.RequestRunner):
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"""Coze API 对话请求器"""
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def __init__(self, ap: app.Application, pipeline_config: dict):
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self.pipeline_config = pipeline_config
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self.ap = ap
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self.agent_token = pipeline_config["ai"]['coze-api']['api-key']
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self.bot_id = pipeline_config["ai"]['coze-api'].get('bot-id')
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self.chat_timeout = pipeline_config["ai"]['coze-api'].get('timeout')
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self.auto_save_history = pipeline_config["ai"]['coze-api'].get('auto_save_history')
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self.api_base = pipeline_config["ai"]['coze-api'].get('api-base')
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self.coze = AsyncCozeAPIClient(
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self.agent_token,
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self.api_base
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)
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def _process_thinking_content(
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self,
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content: str,
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) -> tuple[str, str]:
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"""处理思维链内容
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Args:
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content: 原始内容
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Returns:
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(处理后的内容, 提取的思维链内容)
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"""
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remove_think = self.pipeline_config.get('output', {}).get('misc', {}).get('remove-think', False)
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thinking_content = ''
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# 从 content 中提取 <think> 标签内容
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if content and '<think>' in content and '</think>' in content:
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import re
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think_pattern = r'<think>(.*?)</think>'
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think_matches = re.findall(think_pattern, content, re.DOTALL)
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if think_matches:
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thinking_content = '\n'.join(think_matches)
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# 移除 content 中的 <think> 标签
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content = re.sub(think_pattern, '', content, flags=re.DOTALL).strip()
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# 根据 remove_think 参数决定是否保留思维链
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if remove_think:
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return content, ''
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else:
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# 如果有思维链内容,将其以 <think> 格式添加到 content 开头
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if thinking_content:
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content = f'<think>\n{thinking_content}\n</think>\n{content}'.strip()
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return content, thinking_content
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async def _preprocess_user_message(self, query: pipeline_query.Query) -> list[dict]:
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"""预处理用户消息,转换为Coze消息格式
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Returns:
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list[dict]: Coze消息列表
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"""
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messages = []
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if isinstance(query.user_message.content, list):
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# 多模态消息处理
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content_parts = []
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for ce in query.user_message.content:
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if ce.type == 'text':
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content_parts.append({"type": "text", "text": ce.text})
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elif ce.type == 'image_base64':
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image_b64, image_format = await image.extract_b64_and_format(ce.image_base64)
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file_bytes = base64.b64decode(image_b64)
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file_id = await self._get_file_id(file_bytes)
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content_parts.append({"type": "image", "file_id": file_id})
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elif ce.type == 'file':
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# 处理文件,上传到Coze
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file_id = await self._get_file_id(ce.file)
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content_parts.append({"type": "file", "file_id": file_id})
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# 创建多模态消息
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if content_parts:
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messages.append({
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"role": "user",
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"content": json.dumps(content_parts),
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"content_type": "object_string",
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"meta_data": None
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})
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elif isinstance(query.user_message.content, str):
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# 纯文本消息
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messages.append({
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"role": "user",
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"content": query.user_message.content,
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"content_type": "text",
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"meta_data": None
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})
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return messages
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async def _get_file_id(self, file) -> str:
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"""上传文件到Coze服务
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Args:
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file: 文件
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Returns:
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str: 文件ID
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"""
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file_id = await self.coze.upload(file=file)
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return file_id
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async def _chat_messages(
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self, query: pipeline_query.Query
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) -> typing.AsyncGenerator[provider_message.Message, None]:
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"""调用聊天助手(非流式)
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注意:由于cozepy没有提供非流式API,这里使用流式API并在结束后一次性返回完整内容
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"""
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user_id = f'{query.launcher_id}_{query.sender_id}'
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# 预处理用户消息
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additional_messages = await self._preprocess_user_message(query)
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# 获取会话ID
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conversation_id = None
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# 收集完整内容
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full_content = ''
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full_reasoning = ''
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try:
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# 调用Coze API流式接口
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async for chunk in self.coze.chat_messages(
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bot_id=self.bot_id,
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user_id=user_id,
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additional_messages=additional_messages,
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conversation_id=conversation_id,
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timeout=self.chat_timeout,
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auto_save_history=self.auto_save_history,
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stream=True
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):
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self.ap.logger.debug(f'coze-chat-stream: {chunk}')
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event_type = chunk.get('event')
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data = chunk.get('data', {})
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2025-11-07 15:17:00 +08:00
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# Removed debug print statement to avoid cluttering logs in production
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2025-10-17 18:13:03 +08:00
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if event_type == 'conversation.message.delta':
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# 收集内容
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if 'content' in data:
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full_content += data.get('content', '')
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# 收集推理内容(如果有)
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if 'reasoning_content' in data:
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full_reasoning += data.get('reasoning_content', '')
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2025-11-07 15:17:00 +08:00
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elif event_type.split(".")[-1] == 'done' : # 本地部署coze时,结束event不为done
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2025-10-17 18:13:03 +08:00
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# 保存会话ID
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if 'conversation_id' in data:
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conversation_id = data.get('conversation_id')
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elif event_type == 'error':
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# 处理错误
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error_msg = f"Coze API错误: {data.get('message', '未知错误')}"
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yield provider_message.Message(
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role='assistant',
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content=error_msg,
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)
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return
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# 处理思维链内容
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content, thinking_content = self._process_thinking_content(full_content)
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if full_reasoning:
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remove_think = self.pipeline_config.get('output', {}).get('misc', {}).get('remove-think', False)
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if not remove_think:
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content = f'<think>\n{full_reasoning}\n</think>\n{content}'.strip()
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# 一次性返回完整内容
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yield provider_message.Message(
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role='assistant',
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content=content,
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)
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# 保存会话ID
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if conversation_id and query.session.using_conversation:
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query.session.using_conversation.uuid = conversation_id
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except Exception as e:
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self.ap.logger.error(f'Coze API错误: {str(e)}')
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yield provider_message.Message(
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role='assistant',
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content=f'Coze API调用失败: {str(e)}',
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)
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async def _chat_messages_chunk(
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self, query: pipeline_query.Query
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) -> typing.AsyncGenerator[provider_message.MessageChunk, None]:
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"""调用聊天助手(流式)"""
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user_id = f'{query.launcher_id}_{query.sender_id}'
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# 预处理用户消息
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additional_messages = await self._preprocess_user_message(query)
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# 获取会话ID
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conversation_id = None
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start_reasoning = False
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stop_reasoning = False
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message_idx = 1
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is_final = False
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full_content = ''
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remove_think = self.pipeline_config.get('output', {}).get('misc', {}).get('remove-think', False)
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try:
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# 调用Coze API流式接口
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async for chunk in self.coze.chat_messages(
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bot_id=self.bot_id,
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user_id=user_id,
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additional_messages=additional_messages,
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conversation_id=conversation_id,
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timeout=self.chat_timeout,
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auto_save_history=self.auto_save_history,
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stream=True
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):
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self.ap.logger.debug(f'coze-chat-stream-chunk: {chunk}')
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event_type = chunk.get('event')
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data = chunk.get('data', {})
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content = ""
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if event_type == 'conversation.message.delta':
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message_idx += 1
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# 处理内容增量
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if "reasoning_content" in data and not remove_think:
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reasoning_content = data.get('reasoning_content', '')
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if reasoning_content and not start_reasoning:
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content = f"<think/>\n"
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start_reasoning = True
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content += reasoning_content
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if 'content' in data:
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if data.get('content', ''):
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content += data.get('content', '')
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if not stop_reasoning and start_reasoning:
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content = f"</think>\n{content}"
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stop_reasoning = True
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2025-11-07 15:17:00 +08:00
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elif event_type.split(".")[-1] == 'done' : # 本地部署coze时,结束event不为done
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2025-10-17 18:13:03 +08:00
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# 保存会话ID
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if 'conversation_id' in data:
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conversation_id = data.get('conversation_id')
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if query.session.using_conversation:
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query.session.using_conversation.uuid = conversation_id
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is_final = True
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elif event_type == 'error':
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# 处理错误
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error_msg = f"Coze API错误: {data.get('message', '未知错误')}"
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yield provider_message.MessageChunk(
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role='assistant',
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content=error_msg,
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finish_reason='error'
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)
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return
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full_content += content
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if message_idx % 8 == 0 or is_final:
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if full_content:
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yield provider_message.MessageChunk(
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role='assistant',
|
|
|
|
|
|
content=full_content,
|
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|
|
|
|
is_final=is_final
|
|
|
|
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|
)
|
|
|
|
|
|
|
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|
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|
|
except Exception as e:
|
|
|
|
|
|
self.ap.logger.error(f'Coze API流式调用错误: {str(e)}')
|
|
|
|
|
|
yield provider_message.MessageChunk(
|
|
|
|
|
|
role='assistant',
|
|
|
|
|
|
content=f'Coze API流式调用失败: {str(e)}',
|
|
|
|
|
|
finish_reason='error'
|
|
|
|
|
|
)
|
|
|
|
|
|
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|
|
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|
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|
|
|
async def run(self, query: pipeline_query.Query) -> typing.AsyncGenerator[provider_message.Message, None]:
|
|
|
|
|
|
"""运行"""
|
|
|
|
|
|
msg_seq = 0
|
|
|
|
|
|
if await query.adapter.is_stream_output_supported():
|
|
|
|
|
|
async for msg in self._chat_messages_chunk(query):
|
|
|
|
|
|
if isinstance(msg, provider_message.MessageChunk):
|
|
|
|
|
|
msg_seq += 1
|
|
|
|
|
|
msg.msg_sequence = msg_seq
|
|
|
|
|
|
yield msg
|
|
|
|
|
|
else:
|
|
|
|
|
|
async for msg in self._chat_messages(query):
|
|
|
|
|
|
yield msg
|
|
|
|
|
|
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|