mirror of
https://gitcode.com/JianFeeeee/HomeAgent.git
synced 2026-09-21 09:28:14 +00:00
b777322b95
【新插件 internal/plugins/multimodal】
- see_picture(path): 读取本地图片/URL，base64 注入 image_url block，
模型在下一轮 LLM 请求的 tool message 里直接看到图（1024×1024 图约 8500 token）。
自动识别 MIME，限 3MB 防爆 context。
- see_video(path, frames): ffmpeg 提取关键帧，多帧作为 image_url block 注入。
默认 4 帧，最大 10 帧，每帧限 2MB。
- listen(path): 读取音频文件，转为 audio_url block 注入，支持 mp3/wav/ogg/m4a。
限 5MB。
【内核多模态 tool message 支持】
- agent/api 新增 ToolOutput 类型（为后续 handler 直接返回 blocks 预留）
- SDK 公共层新增 ContentBlock/ImageURL/AudioURL（OpenAI 多模态格式）
- IOManager 新增 SetToolBlocks/ConsumeToolBlocks（interface{} 避免循环依赖）
- PluginSDK.SetToolBlocks(blocks) 插件工具调用后注入 blocks
- ioAdapter 桥接 IOInjector.SetToolBlocks
- process.go 工具执行后消费 pending blocks → 追加到 tool message 的 Blocks 字段
→ MarshalJSON 输出 content 数组格式 → LLM 看到图/音频
【验证】
multimodal_see_picture 注入 1024×1024 PNG 后 llmsproxy 统计：
prompt_tokens=44407（含 ~8500 image token），模型正确描述了图片内容。
1249 lines
36 KiB
Go
1249 lines
36 KiB
Go
package api
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import (
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"bufio"
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"context"
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"encoding/base64"
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"encoding/json"
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"fmt"
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"io"
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||
"log"
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"os"
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"net"
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||
"net/http"
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"sort"
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"strings"
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"sync"
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"time"
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luaVM "gitcode.com/JianFeeeee/HomeAgent/internal/lua"
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)
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// ContentBlock 定义多模态内容块，用于图片/音频等非文本输入。
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type ContentBlock struct {
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Type string `json:"type"`
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Text string `json:"text,omitempty"`
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ImageURL *ImageURL `json:"image_url,omitempty"`
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AudioURL *AudioURL `json:"audio_url,omitempty"`
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}
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type ImageURL struct {
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URL string `json:"url"`
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Detail string `json:"detail,omitempty"`
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}
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type AudioURL struct {
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URL string `json:"url"`
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}
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// MarshalJSON 把音频块序列化成 OpenAI「input_audio」多模态格式（base64 内嵌），
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// 供支持音频的模型识别。audio_url 非 OpenAI 标准块；含 base64 数据时转
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// input_audio，否则回落到原生 audio_url（透传）。
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func (b ContentBlock) MarshalJSON() ([]byte, error) {
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if b.Type == "audio_url" && b.AudioURL != nil && b.AudioURL.URL != "" {
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if data, format, ok := parseAudioDataURL(b.AudioURL.URL); ok {
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return json.Marshal(map[string]interface{}{
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"type": "input_audio",
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"input_audio": map[string]string{
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"data": data,
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"format": format,
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},
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})
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}
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}
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type alias ContentBlock
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return json.Marshal(alias(b))
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}
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// parseAudioDataURL 从 data:<mime>;base64,<data> 提取 base64 与 format。
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// 非 base64（如 http url）返回 ok=false。
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func parseAudioDataURL(url string) (data, format string, ok bool) {
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const prefix = "data:"
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if !strings.HasPrefix(url, prefix) {
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return "", "", false
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}
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rest := url[len(prefix):]
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comma := strings.IndexByte(rest, ',')
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if comma < 0 {
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return "", "", false
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}
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mime := rest[:comma]
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data = rest[comma+1:]
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if mime == "" || data == "" {
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return "", "", false
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}
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if _, err := base64.StdEncoding.DecodeString(data); err != nil {
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return "", "", false
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}
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format = audioFormatFromMIME(mime)
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return data, format, true
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}
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func audioFormatFromMIME(mime string) string {
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m := strings.ToLower(strings.TrimSpace(mime))
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switch {
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case strings.Contains(m, "wav"):
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return "wav"
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case strings.Contains(m, "mp3"), strings.Contains(m, "mpeg"):
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return "mp3"
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case strings.Contains(m, "mp4"), strings.Contains(m, "m4a"):
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return "mp4"
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case strings.Contains(m, "ogg"), strings.Contains(m, "opus"):
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return "ogg"
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case strings.Contains(m, "flac"):
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return "flac"
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default:
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return "wav"
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}
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}
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// Message 表示对话消息。当 Blocks 不为空时 content 在 JSON 中序列化为数组（多模态格式）。
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type Message struct {
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Role string `json:"role"`
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Content string `json:"content,omitempty"`
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Blocks []ContentBlock `json:"-"`
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ReasoningContent string `json:"reasoning_content,omitempty"`
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ToolCallID string `json:"tool_call_id,omitempty"`
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ToolCalls []ToolCall `json:"-"`
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}
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func (m Message) MarshalJSON() ([]byte, error) {
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raw := map[string]interface{}{
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"role": m.Role,
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}
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if len(m.Blocks) > 0 {
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raw["content"] = m.Blocks
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} else if m.Content != "" || len(m.ToolCalls) == 0 {
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raw["content"] = m.Content
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} else {
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raw["content"] = nil
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}
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if m.ReasoningContent != "" {
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raw["reasoning_content"] = m.ReasoningContent
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}
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if m.ToolCallID != "" {
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raw["tool_call_id"] = m.ToolCallID
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}
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if len(m.ToolCalls) > 0 {
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apiTCs := make([]apiToolCall, len(m.ToolCalls))
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for i, tc := range m.ToolCalls {
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argsBytes, _ := json.Marshal(tc.Arguments)
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apiTCs[i] = apiToolCall{
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ID: tc.ID,
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Type: "function",
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Function: apiFunction{
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Name: tc.Name,
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Arguments: string(argsBytes),
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},
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}
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}
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raw["tool_calls"] = apiTCs
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}
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return json.Marshal(raw)
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}
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type CompletionRequest struct {
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Model string `json:"model,omitempty"`
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Messages []Message `json:"messages"`
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Temperature float64 `json:"temperature,omitempty"`
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MaxTokens int `json:"max_tokens,omitempty"`
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Stream bool `json:"stream,omitempty"`
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Tools []interface{} `json:"tools,omitempty"`
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ToolChoice interface{} `json:"tool_choice,omitempty"`
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DisableThinking bool `json:"disable_thinking"`
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ExtraBody map[string]interface{} `json:"-"`
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}
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func (r *CompletionRequest) MarshalJSON() ([]byte, error) {
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type Alias CompletionRequest
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data, err := json.Marshal((*Alias)(r))
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if err != nil {
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return nil, err
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}
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if len(r.ExtraBody) == 0 {
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return data, nil
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}
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var raw map[string]interface{}
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if err := json.Unmarshal(data, &raw); err != nil {
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return nil, err
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}
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for k, v := range r.ExtraBody {
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raw[k] = v
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}
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return json.Marshal(raw)
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}
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type CompletionResponse struct {
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Content string `json:"content"`
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ReasoningContent string `json:"reasoning_content,omitempty"`
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FinishReason string `json:"finish_reason,omitempty"`
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TokenUsage TokenUsage `json:"token_usage,omitempty"`
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ToolCalls []ToolCall `json:"tool_calls,omitempty"`
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}
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type TokenUsage struct {
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Prompt int `json:"prompt"`
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Completion int `json:"completion"`
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Total int `json:"total"`
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}
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type ToolCall struct {
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ID string `json:"id"`
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Type string `json:"type"`
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Name string `json:"name"`
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Arguments map[string]interface{} `json:"arguments"`
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RawArguments string `json:"raw_arguments,omitempty"` // 流式分片原始 JSON 字符串
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// StreamIndex 是上游流式 tool_call 的 OpenAI index 字段（并行多工具调用
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// 时同一轮的分片用它区分归属）。lua 适配器以 stream_index 键透传；
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// 仅内核流式累积内部使用，不序列化到对外 API。
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StreamIndex int `json:"stream_index,omitempty"`
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}
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type apiToolCall struct {
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ID string `json:"id"`
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Type string `json:"type"`
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Function apiFunction `json:"function"`
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}
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type apiFunction struct {
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Name string `json:"name"`
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Arguments string `json:"arguments"`
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}
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type StreamChunk struct {
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Content string `json:"content"`
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ReasoningContent string `json:"reasoning_content,omitempty"`
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Done bool `json:"done"`
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FinishReason string `json:"finish_reason,omitempty"`
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ToolCall *ToolCall `json:"tool_call,omitempty"`
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ToolCalls []ToolCall `json:"tool_calls,omitempty"`
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Usage *TokenUsage `json:"usage,omitempty"`
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}
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type Provider interface {
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Name() string
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Chat(ctx context.Context, req *CompletionRequest) (*CompletionResponse, error)
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ChatStream(ctx context.Context, req *CompletionRequest) (<-chan StreamChunk, error)
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MaxContextTokens() int
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}
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// RoutableProvider 是支持精确模型路由/AUTO 优先级的 provider。
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// 不与 Provider 强绑定，避免破坏第三方 Provider 实现。
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type RoutableProvider interface {
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Provider
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Model() string // 该 provider 提供的模型名（可能为空表示 AUTO）
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Priority() int // AUTO 跨源选择的优先级，大者优先
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}
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// ModelContextWindow 返回模型的最大上下文窗口（token 数）
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// 标称窗口 ≠ 有效窗口：接近满时注意力涣散，调用方应取 70-80% 为目标利用率
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func ModelContextWindow(model string) int {
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model = strings.ToLower(model)
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switch {
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case strings.Contains(model, "deepseek-r1") || strings.Contains(model, "deepseek-chat"):
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return 65536
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case strings.Contains(model, "gpt-4") && (strings.Contains(model, "turbo") || strings.Contains(model, "mini") || strings.Contains(model, "omni")):
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return 128000
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case strings.Contains(model, "gpt-4"):
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return 8192
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case strings.Contains(model, "gpt-3.5"):
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return 16384
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case strings.Contains(model, "claude-3.5") || strings.Contains(model, "claude-3"):
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return 200000
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case strings.Contains(model, "claude"):
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return 100000
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case strings.Contains(model, "gemini-1.5") || strings.Contains(model, "gemini-2"):
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return 1048576
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case strings.Contains(model, "gemini"):
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return 32768
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case strings.Contains(model, "qwen"):
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return 131072
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case strings.Contains(model, "glm") || strings.Contains(model, "chatglm"):
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return 131072
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case strings.Contains(model, "llama-3"):
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return 8192
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case strings.Contains(model, "llama-2"):
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return 4096
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case strings.Contains(model, "mistral") || strings.Contains(model, "mixtral"):
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return 32768
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case strings.Contains(model, "yi-") || strings.Contains(model, "零一"):
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return 200000
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case strings.Contains(model, "moonshot") || strings.Contains(model, "kimi"):
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return 131072
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default:
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return 32768
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}
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}
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type BaseConfig struct {
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Model string `json:"model"`
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BaseURL string `json:"base_url"`
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APIKey string `json:"api_key"`
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Temperature float64 `json:"temperature"`
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MaxTokens int `json:"max_tokens"`
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ContextWindow int `json:"context_window"`
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MaxConcurrent int `json:"max_concurrent"`
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Priority int `json:"priority"`
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}
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|
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// LuaAdaptedProvider 使用 Lua 脚本做请求/响应变换，直接发起 HTTP 调用
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// 不再包裹其他 Provider，协议差异全部在 Lua 层处理
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type LuaAdaptedProvider struct {
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name string
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cfg BaseConfig
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vm *luaVM.VM
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adapter string
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client *http.Client
|
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// streamClient 专用于 SSE 流式调用：无整体超时（SSE 长连接不被截断），
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// 仅保留拨号超时。懒初始化，首次 ChatStream 时创建。
|
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streamClient *http.Client
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streamMu sync.Mutex
|
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}
|
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|
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func NewLuaAdaptedProvider(cfg BaseConfig, vm *luaVM.VM, name, adapter string) *LuaAdaptedProvider {
|
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if cfg.Temperature == 0 {
|
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cfg.Temperature = 0.7
|
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}
|
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if cfg.MaxTokens == 0 {
|
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cfg.MaxTokens = 4096
|
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}
|
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return &LuaAdaptedProvider{
|
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name: name,
|
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cfg: cfg,
|
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vm: vm,
|
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adapter: adapter,
|
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// 180s: llmsproxy 的 AUTO 链会串行尝试多个 tier，每个失败 tier 耗
|
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// busyWait(2s)+上游超时；120s 曾导致网关侧记录大量 "context canceled"
|
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// (客户端先放弃)。放宽到 180s 给链式 failover 留足时间。
|
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client: &http.Client{Timeout: 180 * time.Second},
|
||
}
|
||
}
|
||
|
||
func IsValidSourceConfig(name, baseURL, model, adapter string) bool {
|
||
return validConfigValue(name) && validConfigValue(baseURL) && validConfigValue(model) && validConfigValue(adapter) &&
|
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(strings.HasPrefix(baseURL, "http://") || strings.HasPrefix(baseURL, "https://"))
|
||
}
|
||
|
||
func validConfigValue(s string) bool {
|
||
s = strings.TrimSpace(s)
|
||
if s == "" {
|
||
return false
|
||
}
|
||
return !strings.EqualFold(s, "<nil>") && !strings.EqualFold(s, "null") && !strings.EqualFold(s, "nil")
|
||
}
|
||
|
||
func (p *LuaAdaptedProvider) MaxContextTokens() int {
|
||
if p.cfg.ContextWindow > 0 {
|
||
return p.cfg.ContextWindow
|
||
}
|
||
return ModelContextWindow(p.cfg.Model)
|
||
}
|
||
|
||
func (p *LuaAdaptedProvider) Name() string { return p.name }
|
||
func (p *LuaAdaptedProvider) Model() string { return p.cfg.Model }
|
||
func (p *LuaAdaptedProvider) Priority() int { return p.cfg.Priority }
|
||
|
||
func (p *LuaAdaptedProvider) Chat(ctx context.Context, req *CompletionRequest) (*CompletionResponse, error) {
|
||
if p.cfg.Model != "" && (req.Model == "" || req.Model == "AUTO") {
|
||
req.Model = p.cfg.Model
|
||
}
|
||
rawReq, _ := json.Marshal(req)
|
||
|
||
transformedBody, err := p.vm.CallTransformRequest(p.adapter, string(rawReq))
|
||
if err != nil {
|
||
return nil, fmt.Errorf("lua transform_request: %w", err)
|
||
}
|
||
|
||
endpoint := p.vm.GetAdapterEndpoint(p.adapter)
|
||
if endpoint == "" {
|
||
endpoint = "/chat/completions"
|
||
}
|
||
url := strings.TrimRight(p.cfg.BaseURL, "/") + endpoint
|
||
|
||
httpReq, err := http.NewRequestWithContext(ctx, "POST", url, strings.NewReader(transformedBody))
|
||
if err != nil {
|
||
return nil, fmt.Errorf("create request: %w", err)
|
||
}
|
||
httpReq.Header.Set("Content-Type", "application/json")
|
||
p.applyAdapterHeaders(httpReq, url, transformedBody)
|
||
|
||
resp, err := p.client.Do(httpReq)
|
||
if err != nil {
|
||
return nil, fmt.Errorf("api call: %w", err)
|
||
}
|
||
defer resp.Body.Close()
|
||
|
||
rawResp, err := io.ReadAll(resp.Body)
|
||
if err != nil {
|
||
return nil, fmt.Errorf("read response: %w", err)
|
||
}
|
||
|
||
if resp.StatusCode != 200 {
|
||
return nil, &ProviderError{
|
||
StatusCode: resp.StatusCode,
|
||
Message: fmt.Sprintf("api error %d: %s", resp.StatusCode, string(rawResp)),
|
||
}
|
||
}
|
||
|
||
unifiedJSON, err := p.vm.CallTransformResponse(p.adapter, string(rawResp))
|
||
if err != nil {
|
||
if parsed, perr := parseOpenAICompatibleResponse(rawResp); perr == nil {
|
||
return parsed, nil
|
||
}
|
||
// 网关在非流式请求下返回了 SSE 流 body（上游恢复后吐 chunk 流），
|
||
// 拼接为完整响应，避免丢掉已生成的整段回复
|
||
if parsed, ok := parseOpenAICompatibleSSEBody(rawResp); ok {
|
||
return parsed, nil
|
||
}
|
||
return nil, fmt.Errorf("lua transform_response: %w", err)
|
||
}
|
||
|
||
var result CompletionResponse
|
||
if err := json.Unmarshal([]byte(unifiedJSON), &result); err != nil {
|
||
if parsed, perr := parseOpenAICompatibleResponse(rawResp); perr == nil {
|
||
return parsed, nil
|
||
}
|
||
if parsed, ok := parseOpenAICompatibleSSEBody(rawResp); ok {
|
||
return parsed, nil
|
||
}
|
||
return nil, fmt.Errorf("unmarshal unified response: %w (body: %s)", err, unifiedJSON)
|
||
}
|
||
|
||
// 诊断：tool_calls 存在但参数为空——上游/适配器丢参数，打印原始响应片段定位
|
||
for _, tc := range result.ToolCalls {
|
||
if len(tc.Arguments) == 0 && tc.RawArguments == "" {
|
||
log.Printf("[provider:%s] tool_call %s (%s) has empty arguments; raw body head: %s",
|
||
p.name, tc.Name, tc.ID, string(rawResp[:min(len(rawResp), 400)]))
|
||
}
|
||
}
|
||
|
||
return &result, nil
|
||
}
|
||
|
||
// applyAdapterHeaders 优先调用 adapter.build_headers(meta) 动态签名钩子，
|
||
// 未定义时回落到静态 adapter.headers，最后确保带 Authorization。
|
||
func (p *LuaAdaptedProvider) applyAdapterHeaders(httpReq *http.Request, url, body string) {
|
||
meta := map[string]interface{}{
|
||
"url": url,
|
||
"method": http.MethodPost,
|
||
"body": body,
|
||
"api_key": p.cfg.APIKey,
|
||
"timestamp": time.Now().Unix(),
|
||
"source": map[string]interface{}{
|
||
"name": p.name,
|
||
},
|
||
}
|
||
hdrs, err := p.vm.BuildHeaders(p.adapter, meta)
|
||
if err != nil {
|
||
hdrs = p.vm.GetAdapterHeaders(p.adapter)
|
||
}
|
||
for k, v := range hdrs {
|
||
httpReq.Header.Set(k, v)
|
||
}
|
||
if httpReq.Header.Get("Authorization") == "" && p.cfg.APIKey != "" {
|
||
httpReq.Header.Set("Authorization", "Bearer "+p.cfg.APIKey)
|
||
}
|
||
}
|
||
|
||
func parseOpenAICompatibleResponse(raw []byte) (*CompletionResponse, error) {
|
||
var resp struct {
|
||
Usage struct {
|
||
PromptTokens int `json:"prompt_tokens"`
|
||
CompletionTokens int `json:"completion_tokens"`
|
||
TotalTokens int `json:"total_tokens"`
|
||
} `json:"usage"`
|
||
Choices []struct {
|
||
FinishReason string `json:"finish_reason"`
|
||
Message struct {
|
||
Content interface{} `json:"content"`
|
||
ReasoningContent string `json:"reasoning_content"`
|
||
ToolCalls []openAIToolCall `json:"tool_calls"`
|
||
} `json:"message"`
|
||
} `json:"choices"`
|
||
}
|
||
if err := json.Unmarshal(raw, &resp); err != nil {
|
||
return nil, err
|
||
}
|
||
out := &CompletionResponse{
|
||
TokenUsage: TokenUsage{
|
||
Prompt: resp.Usage.PromptTokens,
|
||
Completion: resp.Usage.CompletionTokens,
|
||
Total: resp.Usage.TotalTokens,
|
||
},
|
||
}
|
||
if len(resp.Choices) == 0 {
|
||
return out, nil
|
||
}
|
||
ch := resp.Choices[0]
|
||
out.FinishReason = ch.FinishReason
|
||
out.Content = stringifyContent(ch.Message.Content)
|
||
out.ReasoningContent = ch.Message.ReasoningContent
|
||
out.ToolCalls = normalizeOpenAIToolCalls(ch.Message.ToolCalls)
|
||
return out, nil
|
||
}
|
||
|
||
// parseOpenAICompatibleSSEBody 将 SSE 格式的响应体（"data: {...}" 多行）
|
||
// 拼接为完整 CompletionResponse。场景：网关（llmsproxy auto 链等）在非流式
|
||
// 请求下也可能返回流式 body——上游恢复后吐出的是已生成的 chunk 流，若按
|
||
// 普通 JSON 解析会报 "invalid character 'd'" 而丢掉整段完整回复。
|
||
// 返回 false 表示 body 不是 SSE 格式，调用方继续走原有解析路径。
|
||
func parseOpenAICompatibleSSEBody(raw []byte) (*CompletionResponse, bool) {
|
||
body := strings.TrimSpace(string(raw))
|
||
if !strings.HasPrefix(body, "data:") && !strings.Contains(body, "\ndata:") {
|
||
return nil, false
|
||
}
|
||
type sseAcc struct {
|
||
id string
|
||
name string
|
||
argsRaw strings.Builder
|
||
}
|
||
var out CompletionResponse
|
||
var contentBuf, reasoningBuf strings.Builder
|
||
accs := map[int]*sseAcc{}
|
||
toolOrder := []int{}
|
||
finish := ""
|
||
found := false
|
||
|
||
for _, line := range strings.Split(body, "\n") {
|
||
line = strings.TrimSpace(line)
|
||
if !strings.HasPrefix(line, "data:") {
|
||
continue
|
||
}
|
||
payload := strings.TrimSpace(strings.TrimPrefix(line, "data:"))
|
||
if payload == "" || payload == "[DONE]" {
|
||
continue
|
||
}
|
||
ck, ok := parseOpenAICompatibleStreamChunkFull(payload)
|
||
if !ok {
|
||
continue
|
||
}
|
||
found = true
|
||
contentBuf.WriteString(ck.Content)
|
||
reasoningBuf.WriteString(ck.ReasoningContent)
|
||
for i, tc := range ck.ToolCalls {
|
||
acc := accs[i]
|
||
if acc == nil {
|
||
acc = &sseAcc{}
|
||
accs[i] = acc
|
||
toolOrder = append(toolOrder, i)
|
||
}
|
||
if tc.ID != "" {
|
||
acc.id = tc.ID
|
||
}
|
||
if tc.Name != "" {
|
||
acc.name = tc.Name
|
||
}
|
||
acc.argsRaw.WriteString(tc.RawArguments)
|
||
}
|
||
if ck.Done && ck.FinishReason != "" {
|
||
finish = ck.FinishReason
|
||
}
|
||
if ck.Usage != nil {
|
||
out.TokenUsage = *ck.Usage
|
||
}
|
||
}
|
||
if !found {
|
||
return nil, false
|
||
}
|
||
out.Content = contentBuf.String()
|
||
out.ReasoningContent = reasoningBuf.String()
|
||
out.FinishReason = finish
|
||
for _, i := range toolOrder {
|
||
acc := accs[i]
|
||
name := strings.TrimSpace(acc.name)
|
||
argsStr := strings.TrimSpace(acc.argsRaw.String())
|
||
if name == "" && argsStr == "" && acc.id == "" {
|
||
continue
|
||
}
|
||
tc := ToolCall{ID: acc.id, Type: "function", Name: name, RawArguments: argsStr}
|
||
tc.Arguments = parseToolArguments(argsStr)
|
||
out.ToolCalls = append(out.ToolCalls, tc)
|
||
}
|
||
return &out, true
|
||
}
|
||
|
||
type openAIToolCall struct {
|
||
ID string `json:"id"`
|
||
Type string `json:"type"`
|
||
Index int `json:"index"`
|
||
Function struct {
|
||
Name string `json:"name"`
|
||
Arguments interface{} `json:"arguments"`
|
||
} `json:"function"`
|
||
Name string `json:"name"`
|
||
Arguments interface{} `json:"arguments"`
|
||
}
|
||
|
||
func normalizeOpenAIToolCalls(raw []openAIToolCall) []ToolCall {
|
||
if len(raw) == 0 {
|
||
return nil
|
||
}
|
||
out := make([]ToolCall, 0, len(raw))
|
||
for _, tc := range raw {
|
||
name := tc.Function.Name
|
||
argsRaw := tc.Function.Arguments
|
||
if name == "" {
|
||
name = tc.Name
|
||
argsRaw = tc.Arguments
|
||
}
|
||
if name == "" {
|
||
continue
|
||
}
|
||
typ := tc.Type
|
||
if typ == "" {
|
||
typ = "function"
|
||
}
|
||
out = append(out, ToolCall{
|
||
ID: tc.ID,
|
||
Type: typ,
|
||
Name: name,
|
||
Arguments: parseToolArguments(argsRaw),
|
||
RawArguments: rawArgsString(argsRaw),
|
||
StreamIndex: tc.Index,
|
||
})
|
||
}
|
||
return out
|
||
}
|
||
|
||
// rawArgsString 将 arguments 字段转为字符串形式（用于流式分片拼接）。
|
||
func rawArgsString(v interface{}) string {
|
||
switch x := v.(type) {
|
||
case nil:
|
||
return ""
|
||
case string:
|
||
return x
|
||
default:
|
||
b, _ := json.Marshal(x)
|
||
return string(b)
|
||
}
|
||
}
|
||
|
||
// normalizeStreamToolCalls 流式专用：保留无 name 的分片（后续 arguments
|
||
// 分片 name 为空，但携带 RawArguments 需要拼接），由调用方按 index 累积。
|
||
func normalizeStreamToolCalls(raw []openAIToolCall) []ToolCall {
|
||
if len(raw) == 0 {
|
||
return nil
|
||
}
|
||
out := make([]ToolCall, 0, len(raw))
|
||
for _, tc := range raw {
|
||
name := tc.Function.Name
|
||
argsRaw := tc.Function.Arguments
|
||
if name == "" {
|
||
name = tc.Name
|
||
// 仅当顶层 Arguments 存在才用扁平格式；否则保留 function.arguments 嵌套值
|
||
// （OpenAI 流式续传 chunk：name 不重发但 function.arguments 继续）
|
||
if tc.Arguments != nil {
|
||
argsRaw = tc.Arguments
|
||
}
|
||
}
|
||
typ := tc.Type
|
||
if typ == "" && (tc.ID != "" || name != "" || argsRaw != nil) {
|
||
typ = "function"
|
||
}
|
||
out = append(out, ToolCall{
|
||
ID: tc.ID,
|
||
Type: typ,
|
||
Name: name,
|
||
RawArguments: rawArgsString(argsRaw),
|
||
StreamIndex: tc.Index,
|
||
})
|
||
}
|
||
return out
|
||
}
|
||
|
||
func parseToolArguments(v interface{}) map[string]interface{} {
|
||
switch x := v.(type) {
|
||
case nil:
|
||
return map[string]interface{}{}
|
||
case map[string]interface{}:
|
||
return x
|
||
case string:
|
||
if strings.TrimSpace(x) == "" {
|
||
return map[string]interface{}{}
|
||
}
|
||
var m map[string]interface{}
|
||
if err := json.Unmarshal([]byte(x), &m); err == nil && m != nil {
|
||
return m
|
||
}
|
||
var any interface{}
|
||
if err := json.Unmarshal([]byte(x), &any); err == nil {
|
||
return map[string]interface{}{"value": any}
|
||
}
|
||
return map[string]interface{}{"raw": x}
|
||
default:
|
||
b, _ := json.Marshal(x)
|
||
var m map[string]interface{}
|
||
if err := json.Unmarshal(b, &m); err == nil && m != nil {
|
||
return m
|
||
}
|
||
return map[string]interface{}{"value": x}
|
||
}
|
||
}
|
||
|
||
func stringifyContent(v interface{}) string {
|
||
switch x := v.(type) {
|
||
case nil:
|
||
return ""
|
||
case string:
|
||
return x
|
||
case []interface{}:
|
||
var b strings.Builder
|
||
for _, part := range x {
|
||
if m, ok := part.(map[string]interface{}); ok {
|
||
if text, ok := m["text"].(string); ok {
|
||
b.WriteString(text)
|
||
}
|
||
}
|
||
}
|
||
return b.String()
|
||
default:
|
||
b, _ := json.Marshal(x)
|
||
return string(b)
|
||
}
|
||
}
|
||
|
||
// parseOpenAICompatibleStreamChunkFull 解析标准 OpenAI SSE 块（含 usage 字段）。
|
||
// 兼容多种 token 用量键名（prompt_tokens/prompt、total_tokens/total 等）
|
||
// 与 prompt cache 细节字段。返回 false 表示非内容块（纯 usage 心跳等）。
|
||
func parseOpenAICompatibleStreamChunkFull(data string) (StreamChunk, bool) {
|
||
var raw struct {
|
||
Choices []struct {
|
||
Delta struct {
|
||
Content interface{} `json:"content"`
|
||
ReasoningContent string `json:"reasoning_content"`
|
||
ToolCalls []openAIToolCall `json:"tool_calls"`
|
||
} `json:"delta"`
|
||
FinishReason *string `json:"finish_reason"`
|
||
} `json:"choices"`
|
||
UpstreamUsage struct {
|
||
PromptTokens int `json:"prompt_tokens"`
|
||
CompletionTokens int `json:"completion_tokens"`
|
||
TotalTokens int `json:"total_tokens"`
|
||
Prompt int `json:"prompt"`
|
||
Completion int `json:"completion"`
|
||
Total int `json:"total"`
|
||
PromptCacheHit int `json:"prompt_cache_hit_tokens"`
|
||
PromptCacheMiss int `json:"prompt_cache_miss_tokens"`
|
||
PromptTokensDetails *struct {
|
||
CachedTokens int `json:"cached_tokens"`
|
||
} `json:"prompt_tokens_details"`
|
||
} `json:"usage"`
|
||
}
|
||
if err := json.Unmarshal([]byte(data), &raw); err != nil {
|
||
return StreamChunk{}, false
|
||
}
|
||
|
||
var usage *TokenUsage
|
||
pu := raw.UpstreamUsage
|
||
if pu.Total > 0 || pu.TotalTokens > 0 || pu.Prompt > 0 || pu.PromptTokens > 0 {
|
||
usage = &TokenUsage{
|
||
Prompt: pickFirstInt(pu.PromptTokens, pu.Prompt),
|
||
Completion: pickFirstInt(pu.CompletionTokens, pu.Completion),
|
||
Total: pickFirstInt(pu.TotalTokens, pu.Total),
|
||
}
|
||
}
|
||
|
||
if len(raw.Choices) == 0 {
|
||
// 纯 usage 心跳块：有 usage 就透传，否则丢弃
|
||
if usage != nil {
|
||
return StreamChunk{Usage: usage}, true
|
||
}
|
||
return StreamChunk{}, false
|
||
}
|
||
|
||
choice := raw.Choices[0]
|
||
ck := StreamChunk{
|
||
Content: stringifyContent(choice.Delta.Content),
|
||
ReasoningContent: choice.Delta.ReasoningContent,
|
||
ToolCalls: normalizeStreamToolCalls(choice.Delta.ToolCalls),
|
||
Usage: usage,
|
||
}
|
||
// finish reason 为空字符串不算终止信号（sensenova 每块都发 ""）
|
||
if choice.FinishReason != nil && *choice.FinishReason != "" {
|
||
ck.Done = true
|
||
ck.FinishReason = *choice.FinishReason
|
||
}
|
||
return ck, true
|
||
}
|
||
|
||
// pickFirstInt 返回 a 非零时的 a，否则 b（兼容 *_tokens 与短键名两种 usage 格式）。
|
||
func pickFirstInt(a, b int) int {
|
||
if a != 0 {
|
||
return a
|
||
}
|
||
return b
|
||
}
|
||
|
||
// streamHTTPClient 返回专用的流式 HTTP client（懒初始化）。
|
||
// SSE 长连接不能套整体超时（非流式 180s 会在长流中途报断），
|
||
// 只保留拨号/握手超时。
|
||
func (p *LuaAdaptedProvider) streamHTTPClient() *http.Client {
|
||
p.streamMu.Lock()
|
||
defer p.streamMu.Unlock()
|
||
if p.streamClient == nil {
|
||
p.streamClient = &http.Client{
|
||
Timeout: 0, // 无整体超时：SSE 流持续时间不可预知
|
||
Transport: &http.Transport{
|
||
DialContext: (&net.Dialer{
|
||
Timeout: 30 * time.Second,
|
||
KeepAlive: 30 * time.Second,
|
||
}).DialContext,
|
||
ForceAttemptHTTP2: true,
|
||
MaxIdleConns: 10,
|
||
IdleConnTimeout: 90 * time.Second,
|
||
},
|
||
}
|
||
}
|
||
return p.streamClient
|
||
}
|
||
|
||
// errorOnlyChunk 判断一个流块是否只携带上游错误信号：done 块带非标准
|
||
// finish_reason 且无任何内容/工具调用/推理文本。标准 OpenAI finish reason
|
||
// 不算错误，正常的空补全（finish_reason:"stop" 无输出）仍会送达调用方。
|
||
func errorOnlyChunk(ck StreamChunk) bool {
|
||
if !ck.Done || ck.FinishReason == "" {
|
||
return false
|
||
}
|
||
switch ck.FinishReason {
|
||
case "stop", "length", "tool_calls", "function_call", "content_filter":
|
||
return false
|
||
}
|
||
return ck.Content == "" && len(ck.ToolCalls) == 0 && ck.ReasoningContent == ""
|
||
}
|
||
|
||
func (p *LuaAdaptedProvider) ChatStream(ctx context.Context, req *CompletionRequest) (<-chan StreamChunk, error) {
|
||
if p.cfg.Model != "" && (req.Model == "" || req.Model == "AUTO") {
|
||
req.Model = p.cfg.Model
|
||
}
|
||
req.Stream = true
|
||
rawReq, _ := json.Marshal(req)
|
||
|
||
transformedBody, err := p.vm.CallTransformRequest(p.adapter, string(rawReq))
|
||
if err != nil {
|
||
return nil, fmt.Errorf("lua transform_request (stream): %w", err)
|
||
}
|
||
|
||
endpoint := p.vm.GetAdapterEndpoint(p.adapter)
|
||
if endpoint == "" {
|
||
endpoint = "/chat/completions"
|
||
}
|
||
url := strings.TrimRight(p.cfg.BaseURL, "/") + endpoint
|
||
|
||
httpReq, err := http.NewRequestWithContext(ctx, "POST", url, strings.NewReader(transformedBody))
|
||
if err != nil {
|
||
return nil, fmt.Errorf("create stream request: %w", err)
|
||
}
|
||
httpReq.Header.Set("Content-Type", "application/json")
|
||
// 与 Chat() 一致走 applyAdapterHeaders：支持 build_headers 动态签名钩子
|
||
p.applyAdapterHeaders(httpReq, url, transformedBody)
|
||
|
||
resp, err := p.streamHTTPClient().Do(httpReq)
|
||
if err != nil {
|
||
return nil, fmt.Errorf("stream api: %w", err)
|
||
}
|
||
|
||
if resp.StatusCode != 200 {
|
||
raw, _ := io.ReadAll(resp.Body)
|
||
resp.Body.Close()
|
||
// transform_error 钩子优先（适配器层协议知识）；未定义时回退标准解析
|
||
if reason, ok, _ := p.vm.TransformError(p.adapter, resp.StatusCode, string(raw)); ok && strings.TrimSpace(reason) != "" {
|
||
return nil, fmt.Errorf("api error %d: %s", resp.StatusCode, truncateOneLineStr(reason, 200))
|
||
}
|
||
return nil, fmt.Errorf("api error %d: %s", resp.StatusCode, truncateOneLineStr(string(raw), 300))
|
||
}
|
||
|
||
ch := make(chan StreamChunk, 64)
|
||
go func() {
|
||
defer resp.Body.Close()
|
||
defer close(ch)
|
||
|
||
scanner := bufio.NewScanner(resp.Body)
|
||
scanner.Buffer(make([]byte, 0, 64*1024), 1024*1024)
|
||
var doneSent bool // 适配器已发过带真实 finish_reason 的终止块则不重复发 [DONE]
|
||
|
||
emit := func(ck StreamChunk) bool {
|
||
if ck.Done {
|
||
doneSent = true
|
||
}
|
||
select {
|
||
case ch <- ck:
|
||
return true
|
||
case <-ctx.Done():
|
||
return false
|
||
}
|
||
}
|
||
|
||
debugSSE := os.Getenv("HOMED_DEBUG_SSE") == "1"
|
||
for scanner.Scan() {
|
||
line := strings.TrimSpace(scanner.Text())
|
||
if line == "" || !strings.HasPrefix(line, "data:") {
|
||
continue
|
||
}
|
||
data := strings.TrimSpace(strings.TrimPrefix(line, "data:"))
|
||
if data == "" {
|
||
continue
|
||
}
|
||
if debugSSE && strings.Contains(data, "tool_calls") {
|
||
log.Printf("[provider:%s] SSE raw tool_call line: %s", p.name, truncateForLog(data, 400))
|
||
}
|
||
if data == "[DONE]" {
|
||
if !doneSent {
|
||
if !emit(StreamChunk{Done: true}) {
|
||
return
|
||
}
|
||
}
|
||
continue
|
||
}
|
||
|
||
// Lua transform_stream_chunk 优先；透传/无钩子时用标准解析
|
||
unified, terr := p.vm.CallTransformStreamChunk(p.adapter, data)
|
||
var ck StreamChunk
|
||
if terr == nil && unified != "" && unified != data {
|
||
if json.Unmarshal([]byte(unified), &ck) != nil {
|
||
continue
|
||
}
|
||
} else {
|
||
parsed, ok := parseOpenAICompatibleStreamChunkFull(data)
|
||
if !ok {
|
||
continue
|
||
}
|
||
ck = parsed
|
||
}
|
||
if !emit(ck) {
|
||
return
|
||
}
|
||
}
|
||
|
||
// 干净 EOF 但无 done 块：补一个，保证消费方能收到终止信号
|
||
if !doneSent && ctx.Err() == nil {
|
||
select {
|
||
case ch <- StreamChunk{Done: true}:
|
||
default:
|
||
}
|
||
}
|
||
}()
|
||
|
||
// 扣住首块校验流是否真的携带内容：部分上游返回 HTTP 200 但流里只有
|
||
// 错误 finish_reason 的退化块（如 zen 免费池 network_error）。在这里
|
||
// 失败该候选，让上层 fallback 到下一源，而不是给客户端吐空响应。
|
||
select {
|
||
case first, ok := <-ch:
|
||
if !ok {
|
||
return nil, fmt.Errorf("provider %s: empty stream", p.Name())
|
||
}
|
||
if errorOnlyChunk(first) {
|
||
go func() {
|
||
for range ch { //nolint:revive
|
||
} // 排空避免生产 goroutine 阻塞泄漏
|
||
}()
|
||
return nil, fmt.Errorf("provider %s: upstream returned %q stream", p.Name(), first.FinishReason)
|
||
}
|
||
out := make(chan StreamChunk, 64)
|
||
go func() {
|
||
defer close(out)
|
||
out <- first
|
||
for ck := range ch {
|
||
out <- ck
|
||
}
|
||
}()
|
||
return out, nil
|
||
case <-ctx.Done():
|
||
return nil, ctx.Err()
|
||
}
|
||
}
|
||
|
||
// truncateOneLineStr 截断为单行且限制最大长度（用于错误消息防 HTML dump 泄漏）。
|
||
func truncateOneLineStr(s string, max int) string {
|
||
s = strings.ReplaceAll(s, "\n", " ")
|
||
s = strings.TrimSpace(s)
|
||
if len(s) > max {
|
||
s = s[:max] + "..."
|
||
}
|
||
return s
|
||
}
|
||
|
||
type providerStatus struct {
|
||
failCount int
|
||
unavailableUntil time.Time
|
||
permanent bool // 401/403 永久不可用，不自动恢复
|
||
}
|
||
|
||
type ProviderManager struct {
|
||
mu sync.RWMutex
|
||
providers map[string]Provider
|
||
order []string
|
||
default_ string
|
||
status map[string]*providerStatus
|
||
}
|
||
|
||
const (
|
||
providerCooldownBase = 30 * time.Second
|
||
providerCooldownMax = 30 * time.Minute
|
||
)
|
||
|
||
func NewProviderManager() *ProviderManager {
|
||
return &ProviderManager{
|
||
providers: make(map[string]Provider),
|
||
status: make(map[string]*providerStatus),
|
||
}
|
||
}
|
||
|
||
func (m *ProviderManager) Reset() {
|
||
m.mu.Lock()
|
||
defer m.mu.Unlock()
|
||
m.providers = make(map[string]Provider)
|
||
m.order = nil
|
||
m.default_ = ""
|
||
m.status = make(map[string]*providerStatus)
|
||
}
|
||
|
||
func (m *ProviderManager) Register(name string, p Provider) {
|
||
m.mu.Lock()
|
||
defer m.mu.Unlock()
|
||
m.providers[name] = p
|
||
m.order = append(m.order, name)
|
||
if m.default_ == "" {
|
||
m.default_ = name
|
||
}
|
||
}
|
||
|
||
func (m *ProviderManager) SetDefault(name string) error {
|
||
m.mu.Lock()
|
||
defer m.mu.Unlock()
|
||
if _, ok := m.providers[name]; !ok {
|
||
return fmt.Errorf("provider %s not found", name)
|
||
}
|
||
m.default_ = name
|
||
return nil
|
||
}
|
||
|
||
func (m *ProviderManager) Get(name string) Provider {
|
||
m.mu.RLock()
|
||
defer m.mu.RUnlock()
|
||
if name == "" {
|
||
name = m.default_
|
||
}
|
||
return m.providers[name]
|
||
}
|
||
|
||
func (m *ProviderManager) Default() Provider {
|
||
m.mu.RLock()
|
||
defer m.mu.RUnlock()
|
||
return m.providers[m.default_]
|
||
}
|
||
|
||
// QuickChat 向默认 LLM Provider 发送一条简短消息并返回回复。
|
||
// 这是一个"非记忆"调用——直接通过 Provider HTTP 调用，不经过 Agent 的记忆/蒸馏管线。
|
||
// 适用于健康检查、系统自检等不需要产生记忆碎片的场景。
|
||
func (m *ProviderManager) QuickChat(ctx context.Context, prompt string) (*CompletionResponse, error) {
|
||
p := m.Default()
|
||
if p == nil {
|
||
return nil, fmt.Errorf("no default provider")
|
||
}
|
||
return p.Chat(ctx, &CompletionRequest{
|
||
Messages: []Message{
|
||
{Role: "user", Content: prompt},
|
||
},
|
||
MaxTokens: 128,
|
||
})
|
||
}
|
||
|
||
func (m *ProviderManager) List() []string {
|
||
m.mu.RLock()
|
||
defer m.mu.RUnlock()
|
||
names := make([]string, len(m.order))
|
||
copy(names, m.order)
|
||
return names
|
||
}
|
||
|
||
func (m *ProviderManager) MarkUnavailable(name string) {
|
||
m.mu.Lock()
|
||
defer m.mu.Unlock()
|
||
st := m.status[name]
|
||
if st == nil {
|
||
st = &providerStatus{}
|
||
m.status[name] = st
|
||
}
|
||
st.failCount++
|
||
cooldown := providerCooldownBase * time.Duration(1<<(st.failCount-1))
|
||
if cooldown > providerCooldownMax {
|
||
cooldown = providerCooldownMax
|
||
}
|
||
st.unavailableUntil = time.Now().Add(cooldown)
|
||
}
|
||
|
||
// ReportStatus records an HTTP status code for a provider.
|
||
// 401/403 = credential error → permanently unavailable (never retry).
|
||
// Other codes → MarkUnavailable with exponential backoff.
|
||
func (m *ProviderManager) ReportStatus(name string, statusCode int) {
|
||
if statusCode == 401 || statusCode == 403 {
|
||
m.mu.Lock()
|
||
defer m.mu.Unlock()
|
||
st := m.status[name]
|
||
if st == nil {
|
||
st = &providerStatus{}
|
||
m.status[name] = st
|
||
}
|
||
st.permanent = true
|
||
st.unavailableUntil = time.Date(9999, 1, 1, 0, 0, 0, 0, time.UTC)
|
||
return
|
||
}
|
||
m.MarkUnavailable(name)
|
||
}
|
||
|
||
func (m *ProviderManager) ResetAvailability(name string) {
|
||
m.mu.Lock()
|
||
defer m.mu.Unlock()
|
||
delete(m.status, name)
|
||
}
|
||
|
||
func (m *ProviderManager) MarkPermanent(name string) {
|
||
m.mu.Lock()
|
||
defer m.mu.Unlock()
|
||
st := m.status[name]
|
||
if st == nil {
|
||
st = &providerStatus{}
|
||
m.status[name] = st
|
||
}
|
||
st.permanent = true
|
||
st.unavailableUntil = time.Date(9999, 1, 1, 0, 0, 0, 0, time.UTC)
|
||
}
|
||
|
||
func (m *ProviderManager) IsAvailable(name string) bool {
|
||
m.mu.RLock()
|
||
defer m.mu.RUnlock()
|
||
st, ok := m.status[name]
|
||
if !ok {
|
||
return true
|
||
}
|
||
if st.permanent {
|
||
return false
|
||
}
|
||
return time.Now().After(st.unavailableUntil)
|
||
}
|
||
|
||
func (m *ProviderManager) OrderedProviders() []Provider {
|
||
m.mu.RLock()
|
||
defer m.mu.RUnlock()
|
||
return m.orderedLocked("")
|
||
}
|
||
|
||
// orderedLocked 返回 provider 候选链。model 为 "" 表示 AUTO：
|
||
// 按 (优先级 desc, 可用性, 默认优先) 稳定排序；model 非空且存在归属源时，
|
||
// 命中的源排在最前（精确模型路由），其余按优先级跟随。
|
||
func (m *ProviderManager) orderedLocked(model string) []Provider {
|
||
list := make([]Provider, 0, len(m.order))
|
||
for _, name := range m.order {
|
||
if p, ok := m.providers[name]; ok && p != nil {
|
||
list = append(list, p)
|
||
}
|
||
}
|
||
type pp struct {
|
||
p Provider
|
||
prio int
|
||
isDef bool
|
||
isMatch bool
|
||
}
|
||
items := make([]pp, 0, len(list))
|
||
lower := strings.ToLower(strings.TrimSpace(model))
|
||
for _, p := range list {
|
||
it := pp{p: p, prio: 0, isDef: p.Name() == m.default_}
|
||
if rp, ok := p.(RoutableProvider); ok {
|
||
it.prio = rp.Priority()
|
||
if lower != "" && lower != "auto" {
|
||
if strings.EqualFold(rp.Model(), model) {
|
||
it.isMatch = true
|
||
}
|
||
}
|
||
}
|
||
items = append(items, it)
|
||
}
|
||
sort.SliceStable(items, func(i, j int) bool {
|
||
if items[i].isMatch != items[j].isMatch {
|
||
return items[i].isMatch
|
||
}
|
||
if items[i].prio != items[j].prio {
|
||
return items[i].prio > items[j].prio
|
||
}
|
||
if items[i].isDef != items[j].isDef {
|
||
return items[i].isDef
|
||
}
|
||
return items[i].p.Name() < items[j].p.Name()
|
||
})
|
||
out := make([]Provider, len(items))
|
||
for i := range items {
|
||
out[i] = items[i].p
|
||
}
|
||
return out
|
||
}
|
||
|
||
// ResolveForModel 按精确模型名路由到归属 provider；找不到则回落到 AUTO 链。
|
||
func (m *ProviderManager) ResolveForModel(model string) []Provider {
|
||
m.mu.RLock()
|
||
defer m.mu.RUnlock()
|
||
return m.orderedLocked(model)
|
||
}
|
||
|
||
func (m *ProviderManager) ProviderCount() int {
|
||
m.mu.RLock()
|
||
defer m.mu.RUnlock()
|
||
return len(m.providers)
|
||
}
|
||
|
||
type rawToolCall struct {
|
||
ID string `json:"id"`
|
||
Type string `json:"type"`
|
||
Function struct {
|
||
Name string `json:"name"`
|
||
Arguments string `json:"arguments"`
|
||
} `json:"function"`
|
||
}
|
||
|
||
// ProviderError wraps an HTTP-level error with status code for precise auth detection.
|
||
type ProviderError struct {
|
||
StatusCode int
|
||
Message string
|
||
}
|
||
|
||
func (e *ProviderError) Error() string {
|
||
return e.Message
|
||
}
|
||
|
||
func getString(m map[string]interface{}, key string) string {
|
||
if v, ok := m[key]; ok {
|
||
if s, ok := v.(string); ok {
|
||
return s
|
||
}
|
||
}
|
||
return ""
|
||
}
|
||
|
||
func getFloat(m map[string]interface{}, key string) float64 {
|
||
if v, ok := m[key]; ok {
|
||
switch n := v.(type) {
|
||
case float64:
|
||
return n
|
||
case int:
|
||
return float64(n)
|
||
}
|
||
}
|
||
return 0
|
||
}
|
||
|
||
// ToolOutput 是工具 handler 返回的结构化结果，支持多模态内容。
|
||
// 返回 string 时等价于 ToolOutput{Text: result}。
|
||
type ToolOutput struct {
|
||
Text string `json:"text"` // LLM 看到的文字描述
|
||
Blocks []ContentBlock `json:"blocks,omitempty"` // 附加的多模态块（image_url/audio_url），追加到 tool message
|
||
}
|
||
|
||
func (t ToolOutput) String() string { return t.Text }
|
||
|
||
// truncateForLog 诊断日志用截断。
|
||
func truncateForLog(s string, n int) string {
|
||
if len(s) <= n {
|
||
return s
|
||
}
|
||
return s[:n] + "..."
|
||
}
|