添加ai支持

This commit is contained in:
2026-06-10 16:04:42 +08:00
parent 51f3f917f9
commit cd03cdc44a
15 changed files with 2159 additions and 3 deletions
+481
View File
@@ -0,0 +1,481 @@
package routers
import (
"bufio"
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"ops/agents"
"ops/models"
"strings"
"time"
"github.com/gin-gonic/gin"
)
// SSE frame types sent to frontend
type sseEvent struct {
Type string `json:"type"`
Text string `json:"text,omitempty"`
Tool string `json:"tool,omitempty"`
Stage string `json:"stage,omitempty"`
Status string `json:"status,omitempty"`
Message string `json:"message,omitempty"`
Data map[string]interface{} `json:"data,omitempty"`
Stats *tokenUsageStats `json:"stats,omitempty"`
Error string `json:"error,omitempty"`
}
type tokenUsageStats struct {
PromptTokens int `json:"prompt_tokens"`
CompletionTokens int `json:"completion_tokens"`
TotalTokens int `json:"total_tokens"`
}
// chatRequestFromFrontend is the expected POST body
type chatRequest struct {
Messages []chatMessage `json:"messages"`
OpenAIName string `json:"openaiName,omitempty"`
}
type chatMessage struct {
Role string `json:"role"`
Content string `json:"content"`
}
// openaiChatRequest is the request sent to the upstream OpenAI-compatible API
type openaiChatRequest struct {
Model string `json:"model"`
Messages []openaiMessage `json:"messages"`
Stream bool `json:"stream"`
MaxTokens int `json:"max_tokens,omitempty"`
Temperature float64 `json:"temperature,omitempty"`
}
type openaiMessage struct {
Role string `json:"role"`
Content string `json:"content"`
}
// openaiStreamChunk is one SSE data line from the upstream
type openaiStreamChunk struct {
ID string `json:"id,omitempty"`
Object string `json:"object,omitempty"`
Created int64 `json:"created,omitempty"`
Model string `json:"model,omitempty"`
Choices []openaiChoice `json:"choices"`
Usage *openaiUsage `json:"usage,omitempty"`
}
type openaiChatResponse struct {
Choices []openaiResponseChoice `json:"choices"`
Usage *openaiUsage `json:"usage,omitempty"`
}
type openaiResponseChoice struct {
Message openaiMessage `json:"message"`
}
type toolRouteResponse struct {
Tools []struct {
Name string `json:"name"`
Reason string `json:"reason"`
} `json:"tools"`
Reason string `json:"reason"`
}
type openaiChoice struct {
Index int `json:"index"`
Delta openaiDelta `json:"delta"`
Finish *string `json:"finish_reason,omitempty"`
}
type openaiDelta struct {
Role string `json:"role,omitempty"`
Content string `json:"content,omitempty"`
}
type openaiUsage struct {
PromptTokens int `json:"prompt_tokens"`
CompletionTokens int `json:"completion_tokens"`
TotalTokens int `json:"total_tokens"`
}
func ApiAIChat(r *gin.RouterGroup) {
r.GET("/openai", handleOpenAIProfiles)
r.POST("/chat", handleChat)
admin := r.Group("/admin")
admin.POST("/config", handleAIChatAdminGetConfig)
admin.POST("/config/update", handleAIChatAdminUpdateConfig)
admin.POST("/refresh", handleAIChatAdminRefreshCache)
}
func handleOpenAIProfiles(ctx *gin.Context) {
cfg := getAIChatConfig()
active := ""
profiles := make([]map[string]interface{}, 0, len(cfg.OpenAI))
for _, profile := range cfg.OpenAI {
if profile.Active {
active = profile.Name
}
profiles = append(profiles, map[string]interface{}{
"name": profile.Name,
"active": profile.Active,
"baseUrl": profile.BaseUrl,
"model": profile.Model,
"timeout": profile.Timeout,
"maxTokens": profile.MaxTokens,
})
}
ReturnJson(ctx, "apiOK", gin.H{
"enabled": cfg.Enabled,
"active": active,
"profiles": profiles,
"toolRouter": gin.H{
"enabled": cfg.ToolRouter.Enabled,
"openaiName": cfg.ToolRouter.OpenAIName,
"timeout": cfg.ToolRouter.Timeout,
"maxTokens": cfg.ToolRouter.MaxTokens,
},
})
}
func handleChat(ctx *gin.Context) {
data, _ := SeparateData(ctx)
if data == nil {
sendSSEError(ctx, "请求数据为空")
return
}
var req chatRequest
if err := decodeJSON(data, &req); err != nil {
sendSSEError(ctx, "解析消息失败: "+err.Error())
return
}
if len(req.Messages) == 0 {
sendSSEError(ctx, "消息不能为空")
return
}
// Check ai config
cfg := getAIChatConfig()
profile, ok := selectOpenAIProfile(cfg, req.OpenAIName)
if !cfg.Enabled || !ok || profile.Model == "" || profile.ApiKey == "" {
sendSSEError(ctx, "AI 聊天未配置,请在后台配置 API Key 和模型")
return
}
toolRouterProfile, hasToolRouterProfile := selectOpenAIProfile(cfg, cfg.ToolRouter.OpenAIName)
// Convert to agent messages and enrich with tools
chatMsgs := convertToChatMessages(req.Messages)
toolConfigs := []agents.ToolConfig{}
if cfg.ToolRouter.Enabled {
toolConfigs = buildToolConfigs(cfg.ToolRouter.Tools)
if hasToolRouterProfile && toolRouterProfile.Model != "" && toolRouterProfile.ApiKey != "" {
selected, err := routeTools(ctx.Request.Context(), toolRouterProfile, cfg.ToolRouter, chatMsgs)
if err == nil && selected != nil {
toolConfigs = filterToolConfigs(toolConfigs, selected)
}
}
}
// Set up SSE headers
ctx.Writer.Header().Set("Content-Type", "text/event-stream")
ctx.Writer.Header().Set("Cache-Control", "no-cache")
ctx.Writer.Header().Set("Connection", "keep-alive")
ctx.Writer.WriteHeader(http.StatusOK)
flusher, _ := ctx.Writer.(http.Flusher)
// Enrich messages with tools (pre-process)
chatMsgs = agents.EnrichMessages(ctx.Request.Context(), chatMsgs, toolConfigs, func(tool, stage, status, message string, data map[string]interface{}) {
sendSSE(ctx, flusher, sseEvent{
Type: "trace",
Tool: tool,
Stage: stage,
Status: status,
Message: message,
Data: data,
})
})
// Build OpenAI-compatible request
openaiMsgs := convertToOpenAIMessages(chatMsgs)
apiReq := openaiChatRequest{
Model: profile.Model,
Messages: openaiMsgs,
Stream: true,
MaxTokens: profile.MaxTokens,
Temperature: 0.7,
}
// Add system prompt if configured
if profile.SystemPrompt != "" {
apiReq.Messages = append([]openaiMessage{{Role: "system", Content: profile.SystemPrompt}}, apiReq.Messages...)
}
err := streamOpenAI(ctx.Request.Context(), profile, apiReq, func(chunk openaiStreamChunk) {
for _, choice := range chunk.Choices {
if choice.Delta.Content != "" {
sendSSE(ctx, flusher, sseEvent{
Type: "delta",
Text: choice.Delta.Content,
})
}
}
if chunk.Usage != nil {
sendSSE(ctx, flusher, sseEvent{
Type: "stats",
Stats: &tokenUsageStats{
PromptTokens: chunk.Usage.PromptTokens,
CompletionTokens: chunk.Usage.CompletionTokens,
TotalTokens: chunk.Usage.TotalTokens,
},
})
}
})
if err != nil {
sendSSE(ctx, flusher, sseEvent{Type: "error", Error: "请求失败: " + err.Error()})
sendSSEDone(ctx, flusher)
return
}
sendSSEDone(ctx, flusher)
flusher.Flush()
}
func streamOpenAI(ctx context.Context, cfg models.ConfigsAIChatOpenAI_, req openaiChatRequest, onData func(openaiStreamChunk)) error {
bodyBytes, err := json.Marshal(req)
if err != nil {
return fmt.Errorf("序列化请求失败: %w", err)
}
url := strings.TrimRight(cfg.BaseUrl, "/") + "/chat/completions"
httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, url, bytes.NewReader(bodyBytes))
if err != nil {
return fmt.Errorf("创建请求失败: %w", err)
}
httpReq.Header.Set("Content-Type", "application/json")
httpReq.Header.Set("Authorization", "Bearer "+cfg.ApiKey)
httpReq.Header.Set("Accept", "text/event-stream")
client := &http.Client{Timeout: time.Duration(cfg.Timeout) * time.Second}
resp, err := client.Do(httpReq)
if err != nil {
return fmt.Errorf("连接上游服务失败: %w", err)
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
body, _ := io.ReadAll(resp.Body)
return fmt.Errorf("上游返回 %d: %s", resp.StatusCode, string(body))
}
scanner := bufio.NewScanner(resp.Body)
scanner.Buffer(make([]byte, 0, 64*1024), 256*1024)
for scanner.Scan() {
line := scanner.Text()
if strings.TrimSpace(line) == "" {
continue
}
if !strings.HasPrefix(line, "data: ") {
continue
}
payload := strings.TrimPrefix(line, "data: ")
payload = strings.TrimSpace(payload)
if payload == "[DONE]" {
continue
}
var chunk openaiStreamChunk
if err := json.Unmarshal([]byte(payload), &chunk); err != nil {
continue
}
onData(chunk)
}
if err := scanner.Err(); err != nil {
return fmt.Errorf("读取流失败: %w", err)
}
return nil
}
// Initialize with system prompt if present
func sendSSE(ctx *gin.Context, flusher http.Flusher, event sseEvent) {
data, err := json.Marshal(event)
if err != nil {
return
}
_, _ = fmt.Fprintf(ctx.Writer, "data: %s\n\n", string(data))
flusher.Flush()
}
func sendSSEDone(ctx *gin.Context, flusher http.Flusher) {
_, _ = fmt.Fprint(ctx.Writer, "data: [DONE]\n\n")
flusher.Flush()
}
func sendSSEError(ctx *gin.Context, message string) {
ctx.Writer.Header().Set("Content-Type", "text/event-stream")
ctx.Writer.Header().Set("Cache-Control", "no-cache")
ctx.Writer.Header().Set("Connection", "keep-alive")
ctx.Writer.WriteHeader(http.StatusOK)
flusher, _ := ctx.Writer.(http.Flusher)
sendSSE(ctx, flusher, sseEvent{
Type: "error",
Error: message,
})
sendSSEDone(ctx, flusher)
flusher.Flush()
}
func convertToChatMessages(msgs []chatMessage) []agents.ChatMessage {
result := make([]agents.ChatMessage, 0, len(msgs))
for _, m := range msgs {
result = append(result, agents.ChatMessage{Role: m.Role, Content: m.Content})
}
return result
}
func convertToOpenAIMessages(msgs []agents.ChatMessage) []openaiMessage {
result := make([]openaiMessage, 0, len(msgs))
for _, m := range msgs {
result = append(result, openaiMessage{Role: m.Role, Content: m.Content})
}
return result
}
func buildToolConfigs(configs []models.ConfigsAIChatTool_) []agents.ToolConfig {
result := make([]agents.ToolConfig, 0, len(configs))
for _, c := range configs {
result = append(result, agents.ToolConfig{
Name: c.Name,
Enabled: c.Enabled,
Description: c.Description,
})
}
return result
}
func selectOpenAIProfile(cfg models.ConfigsAIChat_, name string) (models.ConfigsAIChatOpenAI_, bool) {
if name != "" {
for _, p := range cfg.OpenAI {
if p.Name == name {
return p, true
}
}
return models.ConfigsAIChatOpenAI_{}, false
}
for _, p := range cfg.OpenAI {
if p.Active {
return p, true
}
}
if len(cfg.OpenAI) > 0 {
return cfg.OpenAI[0], true
}
return models.ConfigsAIChatOpenAI_{}, false
}
func routeTools(ctx context.Context, profile models.ConfigsAIChatOpenAI_, router models.ConfigsAIChatToolRouter_, messages []agents.ChatMessage) ([]string, error) {
openaiMsgs := []openaiMessage{}
lastUserContent := agents.LastUserContent(messages)
if lastUserContent != "" {
openaiMsgs = append(openaiMsgs, openaiMessage{Role: "user", Content: lastUserContent})
}
toolNames := make([]string, 0, len(router.Tools))
for _, t := range router.Tools {
if t.Enabled {
toolNames = append(toolNames, t.Name+" - "+t.Description)
}
}
if len(toolNames) == 0 {
return nil, nil
}
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\":[]}。"
openaiMsgs = append([]openaiMessage{{Role: "system", Content: sysPrompt}}, openaiMsgs...)
req := openaiChatRequest{
Model: profile.Model,
Messages: openaiMsgs,
Stream: false,
MaxTokens: router.MaxTokens,
Temperature: 0.1,
}
bodyBytes, _ := json.Marshal(req)
url := strings.TrimRight(profile.BaseUrl, "/") + "/chat/completions"
httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, url, bytes.NewReader(bodyBytes))
if err != nil {
return nil, err
}
httpReq.Header.Set("Content-Type", "application/json")
httpReq.Header.Set("Authorization", "Bearer "+profile.ApiKey)
client := &http.Client{Timeout: time.Duration(router.Timeout) * time.Second}
resp, err := client.Do(httpReq)
if err != nil {
return nil, err
}
defer resp.Body.Close()
var result openaiChatResponse
if err := json.NewDecoder(resp.Body).Decode(&result); err != nil {
return nil, err
}
if len(result.Choices) == 0 {
return nil, nil
}
response := result.Choices[0].Message.Content
toolRouteResponse := extractToolsFromResponse(response)
return toolRouteResponse, nil
}
func extractToolsFromResponse(response string) []string {
start := strings.Index(response, "{")
end := strings.LastIndex(response, "}")
if start == -1 || end == -1 || end <= start {
return nil
}
var parsed toolRouteResponse
if err := json.Unmarshal([]byte(response[start:end+1]), &parsed); err != nil {
return nil
}
tools := make([]string, 0, len(parsed.Tools))
for _, t := range parsed.Tools {
tools = append(tools, t.Name)
}
return tools
}
func filterToolConfigs(configs []agents.ToolConfig, selected []string) []agents.ToolConfig {
if len(selected) == 0 {
return []agents.ToolConfig{}
}
selectedSet := make(map[string]bool, len(selected))
for _, s := range selected {
selectedSet[s] = true
}
filtered := make([]agents.ToolConfig, 0, len(configs))
for _, c := range configs {
if selectedSet[c.Name] {
filtered = append(filtered, c)
}
}
return filtered
}