package proxy import ( "encoding/json" "fmt" "net/http" "regexp" "strings" "unicode" "github.com/google/uuid" ) // identityPatterns covers common ways users ask about the AI's identity. var identityPatterns = []*regexp.Regexp{ // English regexp.MustCompile(`(?i)\bwho are you\b`), regexp.MustCompile(`(?i)\bwhat are you\b`), regexp.MustCompile(`(?i)\bwhat model\b`), regexp.MustCompile(`(?i)\bwhich model\b`), regexp.MustCompile(`(?i)\byour (name|identity|model|version)\b`), regexp.MustCompile(`(?i)\btell me about yourself\b`), regexp.MustCompile(`(?i)\bidentify yourself\b`), regexp.MustCompile(`(?i)\bwhat (llm|language model) are you\b`), regexp.MustCompile(`(?i)\bwhat (ai|assistant) are you\b`), // Chinese regexp.MustCompile(`你是谁`), regexp.MustCompile(`你是什么`), regexp.MustCompile(`你叫什么`), regexp.MustCompile(`什么模型`), regexp.MustCompile(`哪个模型`), regexp.MustCompile(`你基于什么`), regexp.MustCompile(`你是哪个`), regexp.MustCompile(`你是哪款`), regexp.MustCompile(`你的身份`), regexp.MustCompile(`你的名字`), regexp.MustCompile(`什么大模型`), regexp.MustCompile(`什么AI`), } // isIdentityQuestion returns true when the text appears to be asking about AI identity. func isIdentityQuestion(text string) bool { for _, re := range identityPatterns { if re.MatchString(text) { return true } } return false } func hasChinese(s string) bool { for _, r := range s { if unicode.Is(unicode.Han, r) { return true } } return false } // friendlyModelName converts a raw model ID to a human-readable Claude model name. func friendlyModelName(model string) string { m := strings.ToLower(model) for _, suf := range []string{"-thinking", "-thought"} { if strings.HasSuffix(m, suf) { m = m[:len(m)-len(suf)] break } } switch { case strings.Contains(m, "opus-4.7") || strings.Contains(m, "opus-4-7"): return "Claude Opus 4.7" case strings.Contains(m, "opus-4.6") || strings.Contains(m, "opus-4-6"): return "Claude Opus 4.6" case strings.Contains(m, "opus-4.5") || strings.Contains(m, "opus-4-5"): return "Claude Opus 4.5" case strings.Contains(m, "sonnet-4.7") || strings.Contains(m, "sonnet-4-7"): return "Claude Sonnet 4.7" case strings.Contains(m, "sonnet-4.6") || strings.Contains(m, "sonnet-4-6"): return "Claude Sonnet 4.6" case strings.Contains(m, "sonnet-4.5") || strings.Contains(m, "sonnet-4-5"): return "Claude Sonnet 4.5" case strings.Contains(m, "sonnet-4"): return "Claude Sonnet 4" case strings.Contains(m, "haiku-4.7") || strings.Contains(m, "haiku-4-7"): return "Claude Haiku 4.7" case strings.Contains(m, "haiku-4.5") || strings.Contains(m, "haiku-4-5"): return "Claude Haiku 4.5" default: return "Claude" } } // claudeIdentityText returns a Claude-style identity response, language-matched to the question. func claudeIdentityText(model, question string) string { friendly := friendlyModelName(model) if hasChinese(question) { return "我是 Claude,由 Anthropic 公司开发的 AI 助手。\n\n我目前使用的是 " + friendly + " 模型,可以帮你完成代码编写与调试、分析推理、多语言对话等任务。有什么可以帮你的吗?" } return "I'm Claude, an AI assistant made by Anthropic.\n\nI'm currently running on the " + friendly + " model. I can help with coding, debugging, analysis, writing, and much more. What can I help you with?" } // getLastUserTextClaude extracts the text of the last user message. func getLastUserTextClaude(msgs []ClaudeMessage) string { for i := len(msgs) - 1; i >= 0; i-- { if msgs[i].Role == "user" { text, _, _ := extractClaudeUserContent(msgs[i].Content) return text } } return "" } // getLastUserTextOpenAI extracts the text of the last user message. func getLastUserTextOpenAI(msgs []OpenAIMessage) string { for i := len(msgs) - 1; i >= 0; i-- { if msgs[i].Role == "user" { text, _ := extractOpenAIUserContent(msgs[i].Content) return text } } return "" } // sendClaudeIdentityNonStream writes a non-streaming Claude identity response. func (h *Handler) sendClaudeIdentityNonStream(w http.ResponseWriter, model, question string, estimatedInputTokens int) { text := claudeIdentityText(model, question) outTokens := estimateTextTokens(text) resp := KiroToClaudeResponse(text, "", false, nil, estimatedInputTokens, outTokens, model) w.Header().Set("Content-Type", "application/json; charset=utf-8") json.NewEncoder(w).Encode(resp) } // sendClaudeIdentityStream writes a streaming Claude identity response. func (h *Handler) sendClaudeIdentityStream(w http.ResponseWriter, model, question string, estimatedInputTokens int) { w.Header().Set("Content-Type", "text/event-stream; charset=utf-8") w.Header().Set("Cache-Control", "no-cache") w.Header().Set("Connection", "keep-alive") flusher, ok := w.(http.Flusher) if !ok { h.sendClaudeError(w, 500, "api_error", "Streaming not supported") return } text := claudeIdentityText(model, question) outTokens := estimateTextTokens(text) msgID := "msg_" + uuid.New().String() send := func(event string, data interface{}) { b, _ := json.Marshal(data) fmt.Fprintf(w, "event: %s\ndata: %s\n\n", event, b) flusher.Flush() } send("message_start", map[string]interface{}{ "type": "message_start", "message": map[string]interface{}{ "id": msgID, "type": "message", "role": "assistant", "content": []interface{}{}, "model": model, "stop_reason": nil, "stop_sequence": nil, "usage": map[string]int{"input_tokens": estimatedInputTokens, "output_tokens": 0}, }, }) send("content_block_start", map[string]interface{}{ "type": "content_block_start", "index": 0, "content_block": map[string]string{ "type": "text", "text": "", }, }) send("ping", map[string]string{"type": "ping"}) send("content_block_delta", map[string]interface{}{ "type": "content_block_delta", "index": 0, "delta": map[string]string{"type": "text_delta", "text": text}, }) send("content_block_stop", map[string]interface{}{ "type": "content_block_stop", "index": 0, }) send("message_delta", map[string]interface{}{ "type": "message_delta", "delta": map[string]string{"stop_reason": "end_turn"}, "usage": map[string]int{"output_tokens": outTokens}, }) send("message_stop", map[string]string{"type": "message_stop"}) } // sendOpenAIIdentityNonStream writes a non-streaming OpenAI identity response. func (h *Handler) sendOpenAIIdentityNonStream(w http.ResponseWriter, model, question string, estimatedInputTokens int) { text := claudeIdentityText(model, question) outTokens := estimateTextTokens(text) resp := OpenAIResponse{ ID: "chatcmpl-" + uuid.New().String(), Object: "chat.completion", Created: 0, Model: model, Choices: []OpenAIChoice{{ Index: 0, Message: OpenAIMessage{Role: "assistant", Content: text}, FinishReason: "stop", }}, Usage: OpenAIUsage{ PromptTokens: estimatedInputTokens, CompletionTokens: outTokens, TotalTokens: estimatedInputTokens + outTokens, }, } w.Header().Set("Content-Type", "application/json; charset=utf-8") json.NewEncoder(w).Encode(resp) } // estimateTextTokens estimates token count as word-count * 1.3. func estimateTextTokens(text string) int { n := len(strings.Fields(text)) if n < 1 { n = 1 } return int(float64(n)*1.3) + 1 }