mirror of
https://github.com/router-for-me/CLIProxyAPI.git
synced 2026-02-19 12:50:51 +08:00
Add claude code support
This commit is contained in:
Luis Pater
289
internal/translator/claude/openai/claude_openai_request.go
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289
internal/translator/claude/openai/claude_openai_request.go
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@@ -0,0 +1,289 @@
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// Package openai provides request translation functionality for OpenAI to Anthropic API.
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// It handles parsing and transforming OpenAI Chat Completions API requests into Anthropic API format,
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// extracting model information, system instructions, message contents, and tool declarations.
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// The package performs JSON data transformation to ensure compatibility
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// between OpenAI API format and Anthropic API's expected format.
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package openai
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import (
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"crypto/rand"
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"encoding/json"
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"math/big"
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"strings"
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"github.com/tidwall/gjson"
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"github.com/tidwall/sjson"
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)
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// ConvertOpenAIRequestToAnthropic parses and transforms an OpenAI Chat Completions API request into Anthropic API format.
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// It extracts the model name, system instruction, message contents, and tool declarations
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// from the raw JSON request and returns them in the format expected by the Anthropic API.
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func ConvertOpenAIRequestToAnthropic(rawJSON []byte) string {
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// Base Anthropic API template
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out := `{"model":"","max_tokens":32000,"messages":[]}`
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root := gjson.ParseBytes(rawJSON)
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// Helper for generating tool call IDs in the form: toolu_<alphanum>
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genToolCallID := func() string {
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const letters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789"
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var b strings.Builder
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// 24 chars random suffix
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for i := 0; i < 24; i++ {
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n, _ := rand.Int(rand.Reader, big.NewInt(int64(len(letters))))
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b.WriteByte(letters[n.Int64()])
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}
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return "toolu_" + b.String()
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}
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// Model mapping
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if model := root.Get("model"); model.Exists() {
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modelStr := model.String()
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out, _ = sjson.Set(out, "model", modelStr)
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}
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// Max tokens
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if maxTokens := root.Get("max_tokens"); maxTokens.Exists() {
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out, _ = sjson.Set(out, "max_tokens", maxTokens.Int())
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}
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// Temperature
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if temp := root.Get("temperature"); temp.Exists() {
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out, _ = sjson.Set(out, "temperature", temp.Float())
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}
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// Top P
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if topP := root.Get("top_p"); topP.Exists() {
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out, _ = sjson.Set(out, "top_p", topP.Float())
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}
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// Stop sequences
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if stop := root.Get("stop"); stop.Exists() {
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if stop.IsArray() {
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var stopSequences []string
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stop.ForEach(func(_, value gjson.Result) bool {
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stopSequences = append(stopSequences, value.String())
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return true
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})
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if len(stopSequences) > 0 {
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out, _ = sjson.Set(out, "stop_sequences", stopSequences)
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}
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} else {
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out, _ = sjson.Set(out, "stop_sequences", []string{stop.String()})
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}
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}
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// Stream
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if stream := root.Get("stream"); stream.Exists() {
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out, _ = sjson.Set(out, "stream", stream.Bool())
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}
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// Process messages
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var anthropicMessages []interface{}
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var toolCallIDs []string // Track tool call IDs for matching with tool results
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if messages := root.Get("messages"); messages.Exists() && messages.IsArray() {
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messages.ForEach(func(_, message gjson.Result) bool {
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role := message.Get("role").String()
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contentResult := message.Get("content")
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switch role {
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case "system", "user", "assistant":
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// Create Anthropic message
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if role == "system" {
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role = "user"
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}
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msg := map[string]interface{}{
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"role": role,
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"content": []interface{}{},
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}
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// Handle content
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if contentResult.Exists() && contentResult.Type == gjson.String && contentResult.String() != "" {
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// Simple text content
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msg["content"] = []interface{}{
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map[string]interface{}{
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"type": "text",
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"text": contentResult.String(),
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},
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}
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} else if contentResult.Exists() && contentResult.IsArray() {
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// Array of content parts
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var contentParts []interface{}
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contentResult.ForEach(func(_, part gjson.Result) bool {
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partType := part.Get("type").String()
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switch partType {
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case "text":
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contentParts = append(contentParts, map[string]interface{}{
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"type": "text",
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"text": part.Get("text").String(),
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})
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case "image_url":
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// Convert OpenAI image format to Anthropic format
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imageURL := part.Get("image_url.url").String()
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if strings.HasPrefix(imageURL, "data:") {
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// Extract base64 data and media type
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parts := strings.Split(imageURL, ",")
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if len(parts) == 2 {
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mediaTypePart := strings.Split(parts[0], ";")[0]
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mediaType := strings.TrimPrefix(mediaTypePart, "data:")
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data := parts[1]
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contentParts = append(contentParts, map[string]interface{}{
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"type": "image",
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"source": map[string]interface{}{
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"type": "base64",
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"media_type": mediaType,
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"data": data,
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},
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})
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}
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}
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}
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return true
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})
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if len(contentParts) > 0 {
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msg["content"] = contentParts
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}
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} else {
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// Initialize empty content array for tool calls
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msg["content"] = []interface{}{}
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}
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// Handle tool calls (for assistant messages)
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if toolCalls := message.Get("tool_calls"); toolCalls.Exists() && toolCalls.IsArray() && role == "assistant" {
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var contentParts []interface{}
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// Add existing text content if any
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if existingContent, ok := msg["content"].([]interface{}); ok {
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contentParts = existingContent
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}
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toolCalls.ForEach(func(_, toolCall gjson.Result) bool {
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if toolCall.Get("type").String() == "function" {
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toolCallID := toolCall.Get("id").String()
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if toolCallID == "" {
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toolCallID = genToolCallID()
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}
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toolCallIDs = append(toolCallIDs, toolCallID)
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function := toolCall.Get("function")
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toolUse := map[string]interface{}{
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"type": "tool_use",
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"id": toolCallID,
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"name": function.Get("name").String(),
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}
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// Parse arguments
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if args := function.Get("arguments"); args.Exists() {
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argsStr := args.String()
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if argsStr != "" {
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var argsMap map[string]interface{}
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if err := json.Unmarshal([]byte(argsStr), &argsMap); err == nil {
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toolUse["input"] = argsMap
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} else {
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toolUse["input"] = map[string]interface{}{}
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}
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} else {
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toolUse["input"] = map[string]interface{}{}
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}
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} else {
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toolUse["input"] = map[string]interface{}{}
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}
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contentParts = append(contentParts, toolUse)
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}
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return true
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})
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msg["content"] = contentParts
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}
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anthropicMessages = append(anthropicMessages, msg)
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case "tool":
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// Handle tool result messages
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toolCallID := message.Get("tool_call_id").String()
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content := message.Get("content").String()
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// Create tool result message
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msg := map[string]interface{}{
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"role": "user",
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"content": []interface{}{
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map[string]interface{}{
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"type": "tool_result",
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"tool_use_id": toolCallID,
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"content": content,
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},
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},
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}
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anthropicMessages = append(anthropicMessages, msg)
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}
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return true
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})
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}
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// Set messages
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if len(anthropicMessages) > 0 {
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messagesJSON, _ := json.Marshal(anthropicMessages)
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out, _ = sjson.SetRaw(out, "messages", string(messagesJSON))
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}
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// Tools mapping: OpenAI tools -> Anthropic tools
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if tools := root.Get("tools"); tools.Exists() && tools.IsArray() {
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var anthropicTools []interface{}
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tools.ForEach(func(_, tool gjson.Result) bool {
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if tool.Get("type").String() == "function" {
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function := tool.Get("function")
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anthropicTool := map[string]interface{}{
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"name": function.Get("name").String(),
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"description": function.Get("description").String(),
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}
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// Convert parameters schema
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if parameters := function.Get("parameters"); parameters.Exists() {
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anthropicTool["input_schema"] = parameters.Value()
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}
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anthropicTools = append(anthropicTools, anthropicTool)
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}
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return true
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})
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if len(anthropicTools) > 0 {
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toolsJSON, _ := json.Marshal(anthropicTools)
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out, _ = sjson.SetRaw(out, "tools", string(toolsJSON))
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}
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}
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// Tool choice mapping
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if toolChoice := root.Get("tool_choice"); toolChoice.Exists() {
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switch toolChoice.Type {
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case gjson.String:
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choice := toolChoice.String()
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switch choice {
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case "none":
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// Don't set tool_choice, Anthropic will not use tools
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case "auto":
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out, _ = sjson.Set(out, "tool_choice", map[string]interface{}{"type": "auto"})
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case "required":
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out, _ = sjson.Set(out, "tool_choice", map[string]interface{}{"type": "any"})
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}
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case gjson.JSON:
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// Specific tool choice
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if toolChoice.Get("type").String() == "function" {
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functionName := toolChoice.Get("function.name").String()
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out, _ = sjson.Set(out, "tool_choice", map[string]interface{}{
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"type": "tool",
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"name": functionName,
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})
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}
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default:
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}
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}
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return out
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}
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