482 lines
13 KiB
Go
482 lines
13 KiB
Go
package routers
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import (
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"bufio"
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"bytes"
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"context"
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"encoding/json"
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"fmt"
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"io"
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"net/http"
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"ops/agents"
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"ops/models"
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"strings"
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"time"
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"github.com/gin-gonic/gin"
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)
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// SSE frame types sent to frontend
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type sseEvent struct {
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Type string `json:"type"`
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Text string `json:"text,omitempty"`
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Tool string `json:"tool,omitempty"`
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Stage string `json:"stage,omitempty"`
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Status string `json:"status,omitempty"`
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Message string `json:"message,omitempty"`
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Data map[string]interface{} `json:"data,omitempty"`
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Stats *tokenUsageStats `json:"stats,omitempty"`
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Error string `json:"error,omitempty"`
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}
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type tokenUsageStats struct {
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PromptTokens int `json:"prompt_tokens"`
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CompletionTokens int `json:"completion_tokens"`
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TotalTokens int `json:"total_tokens"`
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}
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// chatRequestFromFrontend is the expected POST body
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type chatRequest struct {
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Messages []chatMessage `json:"messages"`
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OpenAIName string `json:"openaiName,omitempty"`
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}
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type chatMessage struct {
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Role string `json:"role"`
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Content string `json:"content"`
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}
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// openaiChatRequest is the request sent to the upstream OpenAI-compatible API
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type openaiChatRequest struct {
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Model string `json:"model"`
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Messages []openaiMessage `json:"messages"`
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Stream bool `json:"stream"`
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MaxTokens int `json:"max_tokens,omitempty"`
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Temperature float64 `json:"temperature,omitempty"`
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}
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type openaiMessage struct {
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Role string `json:"role"`
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Content string `json:"content"`
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}
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// openaiStreamChunk is one SSE data line from the upstream
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type openaiStreamChunk struct {
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ID string `json:"id,omitempty"`
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Object string `json:"object,omitempty"`
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Created int64 `json:"created,omitempty"`
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Model string `json:"model,omitempty"`
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Choices []openaiChoice `json:"choices"`
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Usage *openaiUsage `json:"usage,omitempty"`
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}
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type openaiChatResponse struct {
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Choices []openaiResponseChoice `json:"choices"`
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Usage *openaiUsage `json:"usage,omitempty"`
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}
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type openaiResponseChoice struct {
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Message openaiMessage `json:"message"`
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}
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type toolRouteResponse struct {
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Tools []struct {
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Name string `json:"name"`
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Reason string `json:"reason"`
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} `json:"tools"`
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Reason string `json:"reason"`
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}
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type openaiChoice struct {
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Index int `json:"index"`
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Delta openaiDelta `json:"delta"`
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Finish *string `json:"finish_reason,omitempty"`
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}
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type openaiDelta struct {
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Role string `json:"role,omitempty"`
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Content string `json:"content,omitempty"`
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}
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type openaiUsage struct {
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PromptTokens int `json:"prompt_tokens"`
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CompletionTokens int `json:"completion_tokens"`
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TotalTokens int `json:"total_tokens"`
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}
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func ApiAIChat(r *gin.RouterGroup) {
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r.GET("/openai", handleOpenAIProfiles)
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r.POST("/chat", handleChat)
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admin := r.Group("/admin")
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admin.POST("/config", handleAIChatAdminGetConfig)
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admin.POST("/config/update", handleAIChatAdminUpdateConfig)
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admin.POST("/refresh", handleAIChatAdminRefreshCache)
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}
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func handleOpenAIProfiles(ctx *gin.Context) {
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cfg := getAIChatConfig()
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active := ""
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profiles := make([]map[string]interface{}, 0, len(cfg.OpenAI))
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for _, profile := range cfg.OpenAI {
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if profile.Active {
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active = profile.Name
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}
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profiles = append(profiles, map[string]interface{}{
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"name": profile.Name,
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"active": profile.Active,
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"baseUrl": profile.BaseUrl,
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"model": profile.Model,
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"timeout": profile.Timeout,
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"maxTokens": profile.MaxTokens,
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})
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}
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ReturnJson(ctx, "apiOK", gin.H{
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"enabled": cfg.Enabled,
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"active": active,
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"profiles": profiles,
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"toolRouter": gin.H{
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"enabled": cfg.ToolRouter.Enabled,
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"openaiName": cfg.ToolRouter.OpenAIName,
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"timeout": cfg.ToolRouter.Timeout,
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"maxTokens": cfg.ToolRouter.MaxTokens,
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},
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})
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}
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func handleChat(ctx *gin.Context) {
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data, _ := SeparateData(ctx)
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if data == nil {
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sendSSEError(ctx, "请求数据为空")
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return
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}
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var req chatRequest
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if err := decodeJSON(data, &req); err != nil {
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sendSSEError(ctx, "解析消息失败: "+err.Error())
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return
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}
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if len(req.Messages) == 0 {
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sendSSEError(ctx, "消息不能为空")
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return
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}
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// Check ai config
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cfg := getAIChatConfig()
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profile, ok := selectOpenAIProfile(cfg, req.OpenAIName)
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if !cfg.Enabled || !ok || profile.Model == "" || profile.ApiKey == "" {
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sendSSEError(ctx, "AI 聊天未配置，请在后台配置 API Key 和模型")
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return
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}
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toolRouterProfile, hasToolRouterProfile := selectOpenAIProfile(cfg, cfg.ToolRouter.OpenAIName)
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// Convert to agent messages and enrich with tools
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chatMsgs := convertToChatMessages(req.Messages)
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toolConfigs := []agents.ToolConfig{}
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if cfg.ToolRouter.Enabled {
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toolConfigs = buildToolConfigs(cfg.ToolRouter.Tools)
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if hasToolRouterProfile && toolRouterProfile.Model != "" && toolRouterProfile.ApiKey != "" {
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selected, err := routeTools(ctx.Request.Context(), toolRouterProfile, cfg.ToolRouter, chatMsgs)
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if err == nil && selected != nil {
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toolConfigs = filterToolConfigs(toolConfigs, selected)
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}
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}
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}
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// Set up SSE headers
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ctx.Writer.Header().Set("Content-Type", "text/event-stream")
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ctx.Writer.Header().Set("Cache-Control", "no-cache")
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ctx.Writer.Header().Set("Connection", "keep-alive")
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ctx.Writer.WriteHeader(http.StatusOK)
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flusher, _ := ctx.Writer.(http.Flusher)
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// Enrich messages with tools (pre-process)
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chatMsgs = agents.EnrichMessages(ctx.Request.Context(), chatMsgs, toolConfigs, func(tool, stage, status, message string, data map[string]interface{}) {
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sendSSE(ctx, flusher, sseEvent{
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Type: "trace",
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Tool: tool,
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Stage: stage,
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Status: status,
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Message: message,
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Data: data,
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})
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})
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// Build OpenAI-compatible request
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openaiMsgs := convertToOpenAIMessages(chatMsgs)
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apiReq := openaiChatRequest{
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Model: profile.Model,
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Messages: openaiMsgs,
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Stream: true,
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MaxTokens: profile.MaxTokens,
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Temperature: 0.7,
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}
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// Add system prompt if configured
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if profile.SystemPrompt != "" {
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apiReq.Messages = append([]openaiMessage{{Role: "system", Content: profile.SystemPrompt}}, apiReq.Messages...)
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}
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err := streamOpenAI(ctx.Request.Context(), profile, apiReq, func(chunk openaiStreamChunk) {
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for _, choice := range chunk.Choices {
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if choice.Delta.Content != "" {
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sendSSE(ctx, flusher, sseEvent{
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Type: "delta",
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Text: choice.Delta.Content,
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})
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}
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}
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if chunk.Usage != nil {
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sendSSE(ctx, flusher, sseEvent{
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Type: "stats",
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Stats: &tokenUsageStats{
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PromptTokens: chunk.Usage.PromptTokens,
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CompletionTokens: chunk.Usage.CompletionTokens,
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TotalTokens: chunk.Usage.TotalTokens,
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},
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})
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}
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})
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if err != nil {
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sendSSE(ctx, flusher, sseEvent{Type: "error", Error: "请求失败: " + err.Error()})
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sendSSEDone(ctx, flusher)
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return
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}
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sendSSEDone(ctx, flusher)
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flusher.Flush()
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}
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func streamOpenAI(ctx context.Context, cfg models.ConfigsAIChatOpenAI_, req openaiChatRequest, onData func(openaiStreamChunk)) error {
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bodyBytes, err := json.Marshal(req)
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if err != nil {
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return fmt.Errorf("序列化请求失败: %w", err)
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}
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url := strings.TrimRight(cfg.BaseUrl, "/") + "/chat/completions"
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httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, url, bytes.NewReader(bodyBytes))
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if err != nil {
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return fmt.Errorf("创建请求失败: %w", err)
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}
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httpReq.Header.Set("Content-Type", "application/json")
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httpReq.Header.Set("Authorization", "Bearer "+cfg.ApiKey)
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httpReq.Header.Set("Accept", "text/event-stream")
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client := &http.Client{Timeout: time.Duration(cfg.Timeout) * time.Second}
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resp, err := client.Do(httpReq)
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if err != nil {
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return fmt.Errorf("连接上游服务失败: %w", err)
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}
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defer resp.Body.Close()
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if resp.StatusCode != http.StatusOK {
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body, _ := io.ReadAll(resp.Body)
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return fmt.Errorf("上游返回 %d: %s", resp.StatusCode, string(body))
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}
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scanner := bufio.NewScanner(resp.Body)
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scanner.Buffer(make([]byte, 0, 64*1024), 256*1024)
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for scanner.Scan() {
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line := scanner.Text()
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if strings.TrimSpace(line) == "" {
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continue
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}
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if !strings.HasPrefix(line, "data: ") {
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continue
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}
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payload := strings.TrimPrefix(line, "data: ")
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payload = strings.TrimSpace(payload)
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if payload == "[DONE]" {
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continue
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}
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var chunk openaiStreamChunk
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if err := json.Unmarshal([]byte(payload), &chunk); err != nil {
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continue
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}
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onData(chunk)
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}
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if err := scanner.Err(); err != nil {
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return fmt.Errorf("读取流失败: %w", err)
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}
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return nil
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}
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// Initialize with system prompt if present
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func sendSSE(ctx *gin.Context, flusher http.Flusher, event sseEvent) {
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data, err := json.Marshal(event)
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if err != nil {
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return
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}
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_, _ = fmt.Fprintf(ctx.Writer, "data: %s\n\n", string(data))
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flusher.Flush()
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}
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func sendSSEDone(ctx *gin.Context, flusher http.Flusher) {
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_, _ = fmt.Fprint(ctx.Writer, "data: [DONE]\n\n")
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flusher.Flush()
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}
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func sendSSEError(ctx *gin.Context, message string) {
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ctx.Writer.Header().Set("Content-Type", "text/event-stream")
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ctx.Writer.Header().Set("Cache-Control", "no-cache")
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ctx.Writer.Header().Set("Connection", "keep-alive")
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ctx.Writer.WriteHeader(http.StatusOK)
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flusher, _ := ctx.Writer.(http.Flusher)
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sendSSE(ctx, flusher, sseEvent{
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Type: "error",
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Error: message,
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})
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sendSSEDone(ctx, flusher)
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flusher.Flush()
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}
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func convertToChatMessages(msgs []chatMessage) []agents.ChatMessage {
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result := make([]agents.ChatMessage, 0, len(msgs))
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for _, m := range msgs {
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result = append(result, agents.ChatMessage{Role: m.Role, Content: m.Content})
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}
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return result
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}
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func convertToOpenAIMessages(msgs []agents.ChatMessage) []openaiMessage {
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result := make([]openaiMessage, 0, len(msgs))
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for _, m := range msgs {
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result = append(result, openaiMessage{Role: m.Role, Content: m.Content})
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}
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return result
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}
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func buildToolConfigs(configs []models.ConfigsAIChatTool_) []agents.ToolConfig {
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result := make([]agents.ToolConfig, 0, len(configs))
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for _, c := range configs {
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result = append(result, agents.ToolConfig{
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Name: c.Name,
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Enabled: c.Enabled,
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Description: c.Description,
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})
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}
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return result
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}
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func selectOpenAIProfile(cfg models.ConfigsAIChat_, name string) (models.ConfigsAIChatOpenAI_, bool) {
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if name != "" {
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for _, p := range cfg.OpenAI {
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if p.Name == name {
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return p, true
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}
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}
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return models.ConfigsAIChatOpenAI_{}, false
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}
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for _, p := range cfg.OpenAI {
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if p.Active {
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return p, true
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}
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}
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if len(cfg.OpenAI) > 0 {
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return cfg.OpenAI[0], true
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}
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return models.ConfigsAIChatOpenAI_{}, false
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}
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func routeTools(ctx context.Context, profile models.ConfigsAIChatOpenAI_, router models.ConfigsAIChatToolRouter_, messages []agents.ChatMessage) ([]string, error) {
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openaiMsgs := []openaiMessage{}
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lastUserContent := agents.LastUserContent(messages)
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if lastUserContent != "" {
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openaiMsgs = append(openaiMsgs, openaiMessage{Role: "user", Content: lastUserContent})
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}
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toolNames := make([]string, 0, len(router.Tools))
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for _, t := range router.Tools {
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if t.Enabled {
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toolNames = append(toolNames, t.Name+" - "+t.Description)
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}
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}
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if len(toolNames) == 0 {
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return nil, nil
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}
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sysPrompt := "请根据用户的最新一条消息，判断需要启用哪些工具来完成用户需求。\n可选工具：\n" + strings.Join(toolNames, "\n") + "\n\n回复格式要求：\n```json\n{\"tools\":[{\"name\":\"工具名称\",\"reason\":\"选择原因\"}],\"reason\":\"整体判断理由\"}\n```\n仅输出 JSON 代码块。如果没有需要启用的工具，返回 {\"tools\":[]}。"
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openaiMsgs = append([]openaiMessage{{Role: "system", Content: sysPrompt}}, openaiMsgs...)
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req := openaiChatRequest{
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Model: profile.Model,
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Messages: openaiMsgs,
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Stream: false,
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MaxTokens: router.MaxTokens,
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Temperature: 0.1,
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}
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bodyBytes, _ := json.Marshal(req)
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url := strings.TrimRight(profile.BaseUrl, "/") + "/chat/completions"
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httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, url, bytes.NewReader(bodyBytes))
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if err != nil {
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return nil, err
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}
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httpReq.Header.Set("Content-Type", "application/json")
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httpReq.Header.Set("Authorization", "Bearer "+profile.ApiKey)
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client := &http.Client{Timeout: time.Duration(router.Timeout) * time.Second}
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resp, err := client.Do(httpReq)
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if err != nil {
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return nil, err
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}
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defer resp.Body.Close()
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var result openaiChatResponse
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if err := json.NewDecoder(resp.Body).Decode(&result); err != nil {
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return nil, err
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}
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if len(result.Choices) == 0 {
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return nil, nil
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}
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response := result.Choices[0].Message.Content
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toolRouteResponse := extractToolsFromResponse(response)
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return toolRouteResponse, nil
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}
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func extractToolsFromResponse(response string) []string {
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start := strings.Index(response, "{")
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end := strings.LastIndex(response, "}")
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if start == -1 || end == -1 || end <= start {
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return nil
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}
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var parsed toolRouteResponse
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if err := json.Unmarshal([]byte(response[start:end+1]), &parsed); err != nil {
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return nil
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}
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tools := make([]string, 0, len(parsed.Tools))
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for _, t := range parsed.Tools {
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tools = append(tools, t.Name)
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}
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return tools
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}
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func filterToolConfigs(configs []agents.ToolConfig, selected []string) []agents.ToolConfig {
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if len(selected) == 0 {
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return []agents.ToolConfig{}
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}
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selectedSet := make(map[string]bool, len(selected))
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for _, s := range selected {
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selectedSet[s] = true
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}
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filtered := make([]agents.ToolConfig, 0, len(configs))
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for _, c := range configs {
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if selectedSet[c.Name] {
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filtered = append(filtered, c)
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}
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}
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return filtered
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}
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