revert(mcp): 移除MCP SSE客户端支持
This commit is contained in:
明天好像没什么
Windpicker-owo
@@ -6,5 +6,3 @@ if "openai" in used_client_types:
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from . import openai_client # noqa: F401
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if "aiohttp_gemini" in used_client_types:
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from . import aiohttp_gemini_client # noqa: F401
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if "mcp_sse" in used_client_types:
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from . import mcp_sse_client # noqa: F401
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@@ -1,403 +0,0 @@
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"""
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MCP (Model Context Protocol) SSE (Server-Sent Events) 客户端实现
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支持通过SSE协议与MCP服务器进行通信
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"""
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import asyncio
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import io
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from collections.abc import Callable
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from typing import Any
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import aiohttp
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import orjson
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from json_repair import repair_json
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from src.common.logger import get_logger
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from src.config.api_ada_configs import APIProvider, ModelInfo
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from ..exceptions import (
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NetworkConnectionError,
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ReqAbortException,
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RespNotOkException,
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)
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from ..payload_content.message import Message, RoleType
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from ..payload_content.resp_format import RespFormat
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from ..payload_content.tool_option import ToolCall, ToolOption
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from .base_client import APIResponse, BaseClient, UsageRecord, client_registry
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logger = get_logger("MCP-SSE客户端")
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def _convert_messages_to_mcp(messages: list[Message]) -> list[dict[str, Any]]:
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"""
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将消息列表转换为MCP协议格式
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:param messages: 消息列表
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:return: MCP格式的消息列表
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"""
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mcp_messages = []
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for message in messages:
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mcp_msg: dict[str, Any] = {
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"role": message.role.value,
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}
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# 处理内容
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if isinstance(message.content, str):
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mcp_msg["content"] = message.content
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elif isinstance(message.content, list):
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# 处理多模态内容
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content_parts = []
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for item in message.content:
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if isinstance(item, tuple):
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# 图片内容
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content_parts.append(
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{
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"type": "image",
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"source": {
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"type": "base64",
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"media_type": f"image/{item[0].lower()}",
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"data": item[1],
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},
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}
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)
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elif isinstance(item, str):
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# 文本内容
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content_parts.append({"type": "text", "text": item})
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mcp_msg["content"] = content_parts
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# 添加工具调用ID（如果是工具消息）
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if message.role == RoleType.Tool and message.tool_call_id:
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mcp_msg["tool_call_id"] = message.tool_call_id
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mcp_messages.append(mcp_msg)
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return mcp_messages
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def _convert_tools_to_mcp(tool_options: list[ToolOption]) -> list[dict[str, Any]]:
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"""
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将工具选项转换为MCP协议格式
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:param tool_options: 工具选项列表
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:return: MCP格式的工具列表
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"""
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mcp_tools = []
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for tool in tool_options:
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mcp_tool = {
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"name": tool.name,
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"description": tool.description,
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}
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if tool.params:
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properties = {}
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required = []
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for param in tool.params:
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properties[param.name] = {
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"type": param.param_type.value,
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"description": param.description,
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}
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if param.enum_values:
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properties[param.name]["enum"] = param.enum_values
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if param.required:
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required.append(param.name)
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mcp_tool["input_schema"] = {
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"type": "object",
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"properties": properties,
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"required": required,
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}
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mcp_tools.append(mcp_tool)
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return mcp_tools
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async def _parse_sse_stream(
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session: aiohttp.ClientSession,
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url: str,
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payload: dict[str, Any],
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headers: dict[str, str],
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interrupt_flag: asyncio.Event | None = None,
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) -> tuple[APIResponse, tuple[int, int, int] | None]:
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"""
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解析SSE流式响应
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:param session: aiohttp会话
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:param url: 请求URL
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:param payload: 请求负载
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:param headers: 请求头
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:param interrupt_flag: 中断标志
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:return: API响应和使用记录
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"""
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content_buffer = io.StringIO()
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reasoning_buffer = io.StringIO()
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tool_calls_buffer: list[tuple[str, str, dict[str, Any]]] = []
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usage_record = None
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try:
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async with session.post(url, json=payload, headers=headers) as response:
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if response.status != 200:
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error_text = await response.text()
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raise RespNotOkException(response.status, f"MCP SSE请求失败: {error_text}")
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# 解析SSE流
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async for line in response.content:
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if interrupt_flag and interrupt_flag.is_set():
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raise ReqAbortException("请求被外部信号中断")
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decoded_line = line.decode("utf-8").strip()
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# 跳过空行和注释
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if not decoded_line or decoded_line.startswith(":"):
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continue
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# 解析SSE事件
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if decoded_line.startswith("data: "):
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data_str = decoded_line[6:] # 移除"data: "前缀
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# 跳过[DONE]标记
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if data_str == "[DONE]":
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break
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try:
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event_data = orjson.loads(data_str)
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except orjson.JSONDecodeError:
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logger.warning(f"无法解析SSE数据: {data_str}")
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continue
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# 处理不同类型的事件
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event_type = event_data.get("type")
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if event_type == "content_block_start":
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# 内容块开始
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block = event_data.get("content_block", {})
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if block.get("type") == "text":
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pass # 准备接收文本内容
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elif block.get("type") == "tool_use":
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# 工具调用开始
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tool_calls_buffer.append(
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(
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block.get("id", ""),
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block.get("name", ""),
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{},
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)
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)
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elif event_type == "content_block_delta":
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# 内容块增量
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delta = event_data.get("delta", {})
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delta_type = delta.get("type")
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if delta_type == "text_delta":
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# 文本增量
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text = delta.get("text", "")
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content_buffer.write(text)
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elif delta_type == "input_json_delta":
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# 工具调用参数增量
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if tool_calls_buffer:
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partial_json = delta.get("partial_json", "")
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# 累积JSON片段
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current_args = tool_calls_buffer[-1][2]
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if "_json_buffer" not in current_args:
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current_args["_json_buffer"] = ""
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current_args["_json_buffer"] += partial_json
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elif event_type == "content_block_stop":
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# 内容块结束
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if tool_calls_buffer:
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# 解析完整的工具调用参数
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last_call = tool_calls_buffer[-1]
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if "_json_buffer" in last_call[2]:
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json_str = last_call[2].pop("_json_buffer")
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try:
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parsed_args = orjson.loads(repair_json(json_str))
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tool_calls_buffer[-1] = (
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last_call[0],
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last_call[1],
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parsed_args if isinstance(parsed_args, dict) else {},
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)
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except orjson.JSONDecodeError as e:
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logger.error(f"解析工具调用参数失败: {e}")
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elif event_type == "message_delta":
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# 消息元数据更新
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delta = event_data.get("delta", {})
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stop_reason = delta.get("stop_reason")
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if stop_reason:
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logger.debug(f"消息结束原因: {stop_reason}")
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# 提取使用统计
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usage = event_data.get("usage", {})
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if usage:
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usage_record = (
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usage.get("input_tokens", 0),
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usage.get("output_tokens", 0),
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usage.get("input_tokens", 0) + usage.get("output_tokens", 0),
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)
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elif event_type == "message_stop":
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# 消息结束
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break
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except aiohttp.ClientError as e:
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raise NetworkConnectionError() from e
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except Exception as e:
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logger.error(f"解析SSE流时发生错误: {e}")
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raise
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# 构建响应
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response = APIResponse()
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if content_buffer.tell() > 0:
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response.content = content_buffer.getvalue()
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if reasoning_buffer.tell() > 0:
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response.reasoning_content = reasoning_buffer.getvalue()
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if tool_calls_buffer:
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response.tool_calls = [ToolCall(call_id, func_name, args) for call_id, func_name, args in tool_calls_buffer]
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# 关闭缓冲区
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content_buffer.close()
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reasoning_buffer.close()
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return response, usage_record
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@client_registry.register_client_class("mcp_sse")
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class MCPSSEClient(BaseClient):
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"""
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MCP SSE客户端实现
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支持通过Server-Sent Events协议与MCP服务器通信
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"""
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def __init__(self, api_provider: APIProvider):
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super().__init__(api_provider)
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self._session: aiohttp.ClientSession | None = None
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async def _get_session(self) -> aiohttp.ClientSession:
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"""获取或创建aiohttp会话"""
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if self._session is None or self._session.closed:
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timeout = aiohttp.ClientTimeout(total=self.api_provider.timeout)
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self._session = aiohttp.ClientSession(timeout=timeout)
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return self._session
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async def close(self):
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"""关闭客户端会话"""
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if self._session and not self._session.closed:
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await self._session.close()
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async def get_response(
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self,
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model_info: ModelInfo,
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message_list: list[Message],
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tool_options: list[ToolOption] | None = None,
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max_tokens: int = 1024,
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temperature: float = 0.7,
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response_format: RespFormat | None = None,
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stream_response_handler: Callable[[Any, asyncio.Event | None], tuple[APIResponse, tuple[int, int, int]]]
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| None = None,
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async_response_parser: Callable[[Any], tuple[APIResponse, tuple[int, int, int]]] | None = None,
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interrupt_flag: asyncio.Event | None = None,
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extra_params: dict[str, Any] | None = None,
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) -> APIResponse:
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"""
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获取对话响应
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:param model_info: 模型信息
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:param message_list: 对话消息列表
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:param tool_options: 工具选项
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:param max_tokens: 最大token数
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:param temperature: 温度参数
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:param response_format: 响应格式
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:param stream_response_handler: 流式响应处理器
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:param async_response_parser: 异步响应解析器
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:param interrupt_flag: 中断标志
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:param extra_params: 额外参数
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:return: API响应
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"""
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session = await self._get_session()
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# 构建请求负载
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payload: dict[str, Any] = {
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"model": model_info.model_identifier,
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"messages": _convert_messages_to_mcp(message_list),
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"max_tokens": max_tokens,
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"temperature": temperature,
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"stream": True, # MCP SSE始终使用流式
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}
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# 添加工具
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if tool_options:
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payload["tools"] = _convert_tools_to_mcp(tool_options)
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# 添加额外参数
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if extra_params:
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payload.update(extra_params)
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# 构建请求头
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headers = {
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"Content-Type": "application/json",
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"Accept": "text/event-stream",
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"Authorization": f"Bearer {self.api_provider.get_api_key()}",
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}
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# 发送请求并解析响应
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url = f"{self.api_provider.base_url}/v1/messages"
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try:
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response, usage_record = await _parse_sse_stream(session, url, payload, headers, interrupt_flag)
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except Exception as e:
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logger.error(f"MCP SSE请求失败: {e}")
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raise
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# 添加使用记录
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if usage_record:
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response.usage = UsageRecord(
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model_name=model_info.name,
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provider_name=model_info.api_provider,
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prompt_tokens=usage_record[0],
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completion_tokens=usage_record[1],
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total_tokens=usage_record[2],
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)
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return response
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async def get_embedding(
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self,
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model_info: ModelInfo,
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embedding_input: str,
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extra_params: dict[str, Any] | None = None,
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) -> APIResponse:
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"""
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获取文本嵌入
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MCP协议暂不支持嵌入功能
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:param model_info: 模型信息
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:param embedding_input: 嵌入输入文本
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:return: 嵌入响应
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"""
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raise NotImplementedError("MCP SSE客户端暂不支持嵌入功能")
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async def get_audio_transcriptions(
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self,
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model_info: ModelInfo,
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audio_base64: str,
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extra_params: dict[str, Any] | None = None,
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) -> APIResponse:
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"""
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获取音频转录
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MCP协议暂不支持音频转录功能
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:param model_info: 模型信息
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:param audio_base64: base64编码的音频数据
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:return: 音频转录响应
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"""
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raise NotImplementedError("MCP SSE客户端暂不支持音频转录功能")
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def get_support_image_formats(self) -> list[str]:
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"""
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获取支持的图片格式
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:return: 支持的图片格式列表
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"""
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return ["jpg", "jpeg", "png", "webp", "gif"]
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Block a user