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fix(mcp+adapter): 流式 tool_calls 解析修复 + MCP transport 超时保护
openai adapter transform_stream_chunk:
- OpenAI 流式分片是嵌套格式 function.{name,arguments},原样透传后
json.Unmarshal 到扁平 ToolCall{name,arguments} 时 name 恒为空,
accumulateStream flushToolCall 因 acc.name=="" 静默丢弃整个工具调用
(流式路径自上线起 tool_calls 全部丢失的根因)
- 现在正确解包 function.name → name,function.arguments → raw_arguments
(保留原始 JSON 字符串分片,由 accumulateStream 按 index 拼接)
- 不按 name 过滤分片:OpenAI 流式续传块 name 为空但携带 arguments 分片
mcp stdio/sse transport:
- stdio Send() 无超时:server 进程卡死时插件加载永久阻塞
- sse http.Client 无超时:远程 server 网络抖动/无响应时永久阻塞,
导致 webui 等后续插件全部无法启动(生产实例偶发启动卡死根因)
- stdio 加 60s 请求超时;sse client 加 30s 整体 + 10s 拨号超时
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@ -8,6 +8,7 @@ import (
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"os"
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"os/exec"
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"sync"
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"time"
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)
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// StdioTransport 通过子进程 stdin/stdout 进行 JSON-RPC 通信
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@ -105,11 +106,22 @@ func (t *StdioTransport) Send(req *rpcRequest) (*rpcResponse, error) {
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return nil, fmt.Errorf("write newline: %w", err)
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}
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// 超时保护:MCP server 进程启动慢/卡死不响应时,不能让插件加载永久阻塞
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// (stdio server 冷启动如 npx 拉包可能数十秒,给 60s)
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timeout := time.After(60 * time.Second)
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select {
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case resp := <-ch:
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return resp, nil
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case <-t.done:
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t.mu.Lock()
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delete(t.pending, req.ID)
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t.mu.Unlock()
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return nil, fmt.Errorf("mcp transport closed")
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case <-timeout:
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t.mu.Lock()
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delete(t.pending, req.ID)
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t.mu.Unlock()
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return nil, fmt.Errorf("mcp request timeout (60s), method may be hung")
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}
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}
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