mirror of
https://github.com/langbot-app/LangBot.git
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chore: Add PyPI package support for uvx/pip installation (#1764)
* Initial plan * Add package structure and resource path utilities - Created langbot/ package with __init__.py and __main__.py entry point - Added paths utility to find frontend and resource files from package installation - Updated config loading to use resource paths - Updated frontend serving to use resource paths - Added MANIFEST.in for package data inclusion - Updated pyproject.toml with build system and entry points Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com> * Add PyPI publishing workflow and update license - Created GitHub Actions workflow to build frontend and publish to PyPI - Added license field to pyproject.toml to fix deprecation warning - Updated .gitignore to exclude build artifacts - Tested package building successfully Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com> * Add PyPI installation documentation - Created PYPI_INSTALLATION.md with detailed installation and usage instructions - Updated README.md to feature uvx/pip installation as recommended method - Updated README_EN.md with same changes for English documentation Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com> * Address code review feedback - Made package-data configuration more specific to langbot package only - Improved path detection with caching to avoid repeated file I/O - Removed sys.path searching which was incorrect for package data - Removed interactive input() call for non-interactive environment compatibility - Simplified error messages for version check Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com> * Fix code review issues - Use specific exception types instead of bare except - Fix misleading comments about directory levels - Remove redundant existence check before makedirs with exist_ok=True - Use context manager for file opening to ensure proper cleanup Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com> * Simplify package configuration and document behavioral differences - Removed redundant package-data configuration, relying on MANIFEST.in - Added documentation about behavioral differences between package and source installation - Clarified that include-package-data=true uses MANIFEST.in for data files Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com> * chore: update pyproject.toml * chore: try pack templates in langbot/ * chore: update * chore: update * chore: update * chore: update * chore: update * chore: adjust dir structure * chore: fix imports * fix: read default-pipeline-config.json * fix: read default-pipeline-config.json * fix: tests * ci: publish pypi * chore: bump version 4.6.0-beta.1 for testing * chore: add templates/** * fix: send adapters and requesters icons * chore: bump version 4.6.0b2 for testing * chore: add platform field for docker-compose.yaml --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com> Co-authored-by: Junyan Qin <rockchinq@gmail.com>
This commit is contained in:
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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 base64
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from langbot.pkg.provider import runner
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from langbot.pkg.core import app
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import langbot_plugin.api.entities.builtin.provider.message as provider_message
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from langbot.pkg.utils import image
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import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
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from langbot.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(self.agent_token, self.api_base)
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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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{
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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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)
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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', 'content': query.user_message.content, 'content_type': 'text', '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_type.value}_{query.launcher_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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# Removed debug print statement to avoid cluttering logs in production
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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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elif event_type.split('.')[-1] == 'done': # 本地部署coze时,结束event不为done
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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_type.value}_{query.launcher_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 = '<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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elif event_type.split('.')[-1] == 'done': # 本地部署coze时,结束event不为done
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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(role='assistant', content=error_msg, finish_reason='error')
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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(role='assistant', content=full_content, is_final=is_final)
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except Exception as e:
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self.ap.logger.error(f'Coze API流式调用错误: {str(e)}')
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yield provider_message.MessageChunk(
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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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async def run(self, query: pipeline_query.Query) -> typing.AsyncGenerator[provider_message.Message, None]:
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"""运行"""
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msg_seq = 0
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if await query.adapter.is_stream_output_supported():
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async for msg in self._chat_messages_chunk(query):
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if isinstance(msg, provider_message.MessageChunk):
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msg_seq += 1
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msg.msg_sequence = msg_seq
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yield msg
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else:
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async for msg in self._chat_messages(query):
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yield msg
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