maxkb
Query MaxKB API to process messages and manage conversation flow within the MCP Development Framework.
Instructions
请求MaxKB API并返回处理后的结果
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| message | Yes | 要发送的消息内容 | |
| re_chat | No | 是否重新开始对话 | |
| stream | No | 是否使用流式响应 |
Implementation Reference
- mcp_tool/tools/maxkb_tool.py:72-234 (handler)The main asynchronous handler function that executes the MaxKB API request using httpx, handles streaming SSE responses, extracts content and reasoning_content, concatenates unique parts, and returns TextContent or error messages.
async def execute(self, arguments: dict) -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]: """执行API请求并处理返回结果""" try: # 等待服务器初始化完成 logger.debug("等待服务器初始化...") await asyncio.sleep(2) logger.debug(f"收到请求参数: {arguments}") if "message" not in arguments: return [types.TextContent( type="text", text="错误: 缺少必要参数 'message'" )] # 检查环境变量 env_vars = self._check_env_variables() # 准备请求参数 url = f"{env_vars['MAXKB_HOST']}/api/application/chat_message/{env_vars['MAXKB_CHAT_ID']}" headers = { "accept": "application/json", "AUTHORIZATION": env_vars['MAXKB_AUTHORIZATION'], "Content-Type": "application/json" } data = { "message": arguments["message"], "re_chat": arguments.get("re_chat", False), "stream": arguments.get("stream", True) } logger.debug(f"准备发送请求到: {url}") logger.debug(f"请求头: {headers}") logger.debug(f"请求数据: {data}") try: # 发送请求 logger.debug("开始创建HTTP客户端，超时设置为60秒...") limits = httpx.Limits(max_keepalive_connections=5, max_connections=10, keepalive_expiry=60.0) timeout = httpx.Timeout( timeout=60.0, connect=60.0, read=60.0, write=60.0, pool=60.0 ) async with httpx.AsyncClient( timeout=timeout, limits=limits, transport=httpx.AsyncHTTPTransport( retries=1, verify=False, http1=True, http2=False, socket_options=[(socket.SOL_SOCKET, socket.SO_KEEPALIVE, 1)] ) ) as client: logger.debug("开始发送POST请求...") try: response = await client.post(url, headers=headers, json=data) logger.debug(f"收到响应状态码: {response.status_code}") logger.debug(f"响应头: {response.headers}") # 处理响应内容 content_parts = [] last_content = "" received_data = [] async for line in response.aiter_lines(): logger.debug(f"收到行: {line}") if line.startswith('data: '): try: # 解析JSON数据 data = json.loads(line[6:]) # 去掉'data: '前缀 logger.debug(f"解析到的数据: {data}") received_data.append(data) # 检查是否有非空的content if isinstance(data, dict): current_content = data.get("content", "") if current_content and current_content != last_content: last_content = current_content content_parts.append(current_content) logger.debug(f"添加新内容: {current_content}") # 检查reasoning_content reasoning_content = data.get("reasoning_content", "") if reasoning_content and reasoning_content != last_content: last_content = reasoning_content content_parts.append(reasoning_content) logger.debug(f"添加推理内容: {reasoning_content}") except json.JSONDecodeError as e: logger.error(f"JSON解析错误: {e}, 行内容: {line}") continue # 忽略无法解析的行 # 拼接所有内容 result = ''.join(content_parts) if content_parts else "" logger.debug(f"最终结果: {result}") if not result: logger.warning("未获取到有效内容") error_details = f"收到 {len(received_data)} 条数据" if received_data: error_details += "\n最后一条数据:\n" + json.dumps(received_data[-1], ensure_ascii=False, indent=2) return [types.TextContent( type="text", text=f"请求错误: {error_details}" )] return [types.TextContent( type="text", text=result )] except httpx.TimeoutException as e: logger.error(f"请求超时: {str(e)}") logger.error(f"超时配置: {client.timeout}") return [types.TextContent( type="text", text=f"请求超时(60秒): {str(e)}" )] except httpx.ConnectError as e: logger.error(f"连接错误: {str(e)}") logger.error(f"目标URL: {url}") return [types.TextContent( type="text", text=f"连接错误({url}): {str(e)}" )] try: response.raise_for_status() except httpx.HTTPStatusError as e: logger.error(f"HTTP状态错误: {str(e)}") logger.error(f"响应状态码: {e.response.status_code}") logger.error(f"响应内容: {e.response.text}") return [types.TextContent( type="text", text=f"HTTP状态错误: {str(e)}" )] except httpx.HTTPError as e: error_msg = f"HTTP请求错误: {str(e)}\n状态码: {getattr(e.response, 'status_code', 'N/A')}\n响应内容: {getattr(e.response, 'text', 'N/A')}" logger.error(error_msg) return [types.TextContent( type="text", text=error_msg )] except ValueError as e: error_msg = f"配置错误: {str(e)}" logger.error(error_msg) return [types.TextContent( type="text", text=error_msg )] except Exception as e: error_msg = f"处理错误: {str(e)}\n{traceback.format_exc()}" logger.error(error_msg) return [types.TextContent( type="text", text=error_msg )] - mcp_tool/tools/maxkb_tool.py:28-47 (schema)Input schema defining the expected arguments: 'message' (required string), 're_chat' (optional boolean, default False), 'stream' (optional boolean, default True).
input_schema = { "type": "object", "required": ["message"], "properties": { "message": { "type": "string", "description": "要发送的消息内容", }, "re_chat": { "type": "boolean", "description": "是否重新开始对话", "default": False }, "stream": { "type": "boolean", "description": "是否使用流式响应", "default": True } }, } - mcp_tool/tools/maxkb_tool.py:23-27 (registration)Tool registration via @ToolRegistry.register decorator on MaxKbTool class, with name='maxkb' and description.
@ToolRegistry.register class MaxKbTool(BaseTool): """MaxKB API请求工具""" name = "maxkb" description = "请求MaxKB API并返回处理后的结果" - mcp_tool/tools/maxkb_tool.py:49-71 (helper)Helper method to validate and retrieve required environment variables (MAXKB_HOST, MAXKB_CHAT_ID, MAXKB_APPLICATION_ID, MAXKB_AUTHORIZATION). Called within execute.
def _check_env_variables(self): """检查必要的环境变量是否存在""" required_vars = [ 'MAXKB_HOST', 'MAXKB_CHAT_ID', 'MAXKB_APPLICATION_ID', 'MAXKB_AUTHORIZATION' ] env_values = {} missing_vars = [] for var in required_vars: value = os.getenv(var) if not value: missing_vars.append(var) else: env_values[var] = value if missing_vars: raise ValueError(f"缺少必要的环境变量: {', '.join(missing_vars)}") logger.debug(f"环境变量检查通过: {env_values}") return env_values