231 lines
6.9 KiB
Go
231 lines
6.9 KiB
Go
package claude
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import (
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"bufio"
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"bytes"
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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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"net/http"
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"opencatd-open/llm/openai"
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"opencatd-open/llm/vertexai"
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"opencatd-open/pkg/error"
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"opencatd-open/pkg/tokenizer"
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"opencatd-open/store"
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"strings"
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"github.com/gin-gonic/gin"
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)
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func ChatMessages(c *gin.Context, chatReq *openai.ChatCompletionRequest) {
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var (
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req *http.Request
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targetURL = ClaudeMessageEndpoint
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)
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apiKey, err := store.SelectKeyCache("claude")
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if err != nil {
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c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
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return
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}
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usagelog := store.Tokens{Model: chatReq.Model}
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var claudReq ChatRequest
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claudReq.Model = chatReq.Model
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claudReq.Stream = chatReq.Stream
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// claudReq.Temperature = chatReq.Temperature
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claudReq.TopP = chatReq.TopP
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claudReq.MaxTokens = 4096
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if apiKey.ApiType == "vertex" {
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claudReq.AnthropicVersion = "vertex-2023-10-16"
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claudReq.Model = ""
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}
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var claudecontent []VisionContent
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var prompt string
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for _, msg := range chatReq.Messages {
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switch ct := msg.Content.(type) {
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case string:
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prompt += "<" + msg.Role + ">: " + msg.Content.(string) + "\n"
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if msg.Role == "system" {
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claudReq.System = msg.Content.(string)
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continue
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}
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claudecontent = append(claudecontent, VisionContent{Type: "text", Text: msg.Role + ":" + msg.Content.(string)})
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case []any:
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for _, item := range ct {
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if m, ok := item.(map[string]interface{}); ok {
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if m["type"] == "text" {
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prompt += "<" + msg.Role + ">: " + m["text"].(string) + "\n"
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claudecontent = append(claudecontent, VisionContent{Type: "text", Text: msg.Role + ":" + m["text"].(string)})
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} else if m["type"] == "image_url" {
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if url, ok := m["image_url"].(map[string]interface{}); ok {
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fmt.Printf(" URL: %v\n", url["url"])
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if strings.HasPrefix(url["url"].(string), "http") {
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fmt.Println("网络图片:", url["url"].(string))
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} else if strings.HasPrefix(url["url"].(string), "data:image") {
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fmt.Println("base64:", url["url"].(string)[:20])
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var mediaType string
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if strings.HasPrefix(url["url"].(string), "data:image/jpeg") {
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mediaType = "image/jpeg"
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}
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if strings.HasPrefix(url["url"].(string), "data:image/png") {
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mediaType = "image/png"
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}
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claudecontent = append(claudecontent, VisionContent{Type: "image", Source: &VisionSource{Type: "base64", MediaType: mediaType, Data: strings.Split(url["url"].(string), ",")[1]}})
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}
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}
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}
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}
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}
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default:
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c.JSON(http.StatusInternalServerError, gin.H{
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"error": gin.H{
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"message": "Invalid content type",
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},
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})
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return
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}
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if len(chatReq.Tools) > 0 {
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tooljson, _ := json.Marshal(chatReq.Tools)
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prompt += "<tools>: " + string(tooljson) + "\n"
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}
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}
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claudReq.Messages = []VisionMessages{{Role: "user", Content: claudecontent}}
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usagelog.PromptCount = tokenizer.NumTokensFromStr(prompt, chatReq.Model)
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if apiKey.ApiType == "vertex" {
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var vertexSecret vertexai.VertexSecretKey
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if err := json.Unmarshal([]byte(apiKey.ApiSecret), &vertexSecret); err != nil {
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c.JSON(http.StatusInternalServerError, error.ErrorData(err.Error()))
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return
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}
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vcmodel, ok := vertexai.VertexClaudeModelMap[chatReq.Model]
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if !ok {
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c.JSON(http.StatusInternalServerError, error.ErrorData("Model not found"))
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return
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}
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// 获取gcloud token，临时放置在apiKey.Key中
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gcloudToken, err := vertexai.GcloudAuth(vertexSecret.ClientEmail, vertexSecret.PrivateKey)
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if err != nil {
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c.JSON(http.StatusInternalServerError, error.ErrorData(err.Error()))
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return
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}
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// 拼接vertex的请求地址
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targetURL = fmt.Sprintf("https://%s-aiplatform.googleapis.com/v1/projects/%s/locations/%s/publishers/anthropic/models/%s:streamRawPredict", vcmodel.Region, vertexSecret.ProjectID, vcmodel.Region, vcmodel.VertexName)
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req, _ = http.NewRequest("POST", targetURL, bytes.NewReader(claudReq.ByteJson()))
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req.Header.Set("Authorization", "Bearer "+gcloudToken)
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req.Header.Set("Content-Type", "application/json")
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req.Header.Set("Accept", "text/event-stream")
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req.Header.Set("Accept-Encoding", "identity")
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} else {
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req, _ = http.NewRequest("POST", targetURL, bytes.NewReader(claudReq.ByteJson()))
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req.Header.Set("x-api-key", apiKey.Key)
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req.Header.Set("anthropic-version", "2023-06-01")
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req.Header.Set("Content-Type", "application/json")
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}
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client := http.DefaultClient
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rsp, err := client.Do(req)
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if err != nil {
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c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
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return
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}
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defer rsp.Body.Close()
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if rsp.StatusCode != http.StatusOK {
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io.Copy(c.Writer, rsp.Body)
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return
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}
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var buffer bytes.Buffer
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teeReader := io.TeeReader(rsp.Body, &buffer)
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dataChan := make(chan string)
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// stopChan := make(chan bool)
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var result string
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scanner := bufio.NewScanner(teeReader)
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go func() {
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for scanner.Scan() {
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line := scanner.Bytes()
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if len(line) > 0 && bytes.HasPrefix(line, []byte("data: ")) {
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if bytes.HasPrefix(line, []byte("data: [DONE]")) {
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dataChan <- string(line) + "\n"
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break
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}
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var claudeResp ClaudeStreamResponse
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line = bytes.Replace(line, []byte("data: "), []byte(""), -1)
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line = bytes.TrimSpace(line)
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if err := json.Unmarshal(line, &claudeResp); err != nil {
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continue
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}
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if claudeResp.Type == "message_start" {
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if claudeResp.Message.Role != "" {
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result += "<" + claudeResp.Message.Role + ">"
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}
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} else if claudeResp.Type == "message_stop" {
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break
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}
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if claudeResp.Delta.Text != "" {
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result += claudeResp.Delta.Text
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}
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var choice openai.Choice
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choice.Delta.Role = claudeResp.Message.Role
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choice.Delta.Content = claudeResp.Delta.Text
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choice.FinishReason = claudeResp.Delta.StopReason
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chatResp := openai.ChatCompletionStreamResponse{
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Model: chatReq.Model,
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Choices: []openai.Choice{choice},
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}
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dataChan <- "data: " + string(chatResp.ByteJson()) + "\n"
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if claudeResp.Delta.StopReason != "" {
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dataChan <- "\ndata: [DONE]\n"
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}
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}
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}
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defer close(dataChan)
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}()
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c.Writer.Header().Set("Content-Type", "text/event-stream")
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c.Writer.Header().Set("Cache-Control", "no-cache")
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c.Writer.Header().Set("Connection", "keep-alive")
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c.Writer.Header().Set("Transfer-Encoding", "chunked")
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c.Writer.Header().Set("X-Accel-Buffering", "no")
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c.Stream(func(w io.Writer) bool {
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if data, ok := <-dataChan; ok {
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if strings.HasPrefix(data, "data: ") {
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c.Writer.WriteString(data)
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// c.Writer.WriteString("\n\n")
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} else {
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c.Writer.WriteHeader(http.StatusBadGateway)
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c.Writer.WriteString(data)
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}
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c.Writer.Flush()
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return true
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}
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go func() {
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usagelog.CompletionCount = tokenizer.NumTokensFromStr(result, chatReq.Model)
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usagelog.Cost = fmt.Sprintf("%.6f", tokenizer.Cost(usagelog.Model, usagelog.PromptCount, usagelog.CompletionCount))
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if err := store.Record(&usagelog); err != nil {
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log.Println(err)
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}
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if err := store.SumDaily(usagelog.UserID); err != nil {
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log.Println(err)
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}
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}()
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return false
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})
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}
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