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Luis Pater
2025-09-25 10:31:02 +08:00
parent 84248b6ec2
commit 3f69254f43
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320
internal/translator/claude/openai/chat-completions/claude_openai_request.go
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@@ -1,320 +0,0 @@
// Package openai provides request translation functionality for OpenAI to Claude Code API compatibility.
// It handles parsing and transforming OpenAI Chat Completions API requests into Claude Code API format,
// extracting model information, system instructions, message contents, and tool declarations.
// The package performs JSON data transformation to ensure compatibility
// between OpenAI API format and Claude Code API's expected format.
package chat_completions
import (
"bytes"
"crypto/rand"
"encoding/json"
"math/big"
"strings"
"github.com/tidwall/gjson"
"github.com/tidwall/sjson"
)
// ConvertOpenAIRequestToClaude parses and transforms an OpenAI Chat Completions API request into Claude Code API format.
// It extracts the model name, system instruction, message contents, and tool declarations
// from the raw JSON request and returns them in the format expected by the Claude Code API.
// The function performs comprehensive transformation including:
// 1. Model name mapping and parameter extraction (max_tokens, temperature, top_p, etc.)
// 2. Message content conversion from OpenAI to Claude Code format
// 3. Tool call and tool result handling with proper ID mapping
// 4. Image data conversion from OpenAI data URLs to Claude Code base64 format
// 5. Stop sequence and streaming configuration handling
//
// Parameters:
// - modelName: The name of the model to use for the request
// - rawJSON: The raw JSON request data from the OpenAI API
// - stream: A boolean indicating if the request is for a streaming response
//
// Returns:
// - []byte: The transformed request data in Claude Code API format
func ConvertOpenAIRequestToClaude(modelName string, inputRawJSON []byte, stream bool) []byte {
rawJSON := bytes.Clone(inputRawJSON)
// Base Claude Code API template with default max_tokens value
out := `{"model":"","max_tokens":32000,"messages":[]}`
root := gjson.ParseBytes(rawJSON)
if v := root.Get("reasoning_effort"); v.Exists() {
out, _ = sjson.Set(out, "thinking.type", "enabled")
switch v.String() {
case "none":
out, _ = sjson.Set(out, "thinking.type", "disabled")
case "low":
out, _ = sjson.Set(out, "thinking.budget_tokens", 1024)
case "medium":
out, _ = sjson.Set(out, "thinking.budget_tokens", 8192)
case "high":
out, _ = sjson.Set(out, "thinking.budget_tokens", 24576)
}
}
// Helper for generating tool call IDs in the form: toolu_<alphanum>
// This ensures unique identifiers for tool calls in the Claude Code format
genToolCallID := func() string {
const letters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789"
var b strings.Builder
// 24 chars random suffix for uniqueness
for i := 0; i < 24; i++ {
n, _ := rand.Int(rand.Reader, big.NewInt(int64(len(letters))))
b.WriteByte(letters[n.Int64()])
}
return "toolu_" + b.String()
}
// Model mapping to specify which Claude Code model to use
out, _ = sjson.Set(out, "model", modelName)
// Max tokens configuration with fallback to default value
if maxTokens := root.Get("max_tokens"); maxTokens.Exists() {
out, _ = sjson.Set(out, "max_tokens", maxTokens.Int())
}
// Temperature setting for controlling response randomness
if temp := root.Get("temperature"); temp.Exists() {
out, _ = sjson.Set(out, "temperature", temp.Float())
}
// Top P setting for nucleus sampling
if topP := root.Get("top_p"); topP.Exists() {
out, _ = sjson.Set(out, "top_p", topP.Float())
}
// Stop sequences configuration for custom termination conditions
if stop := root.Get("stop"); stop.Exists() {
if stop.IsArray() {
var stopSequences []string
stop.ForEach(func(_, value gjson.Result) bool {
stopSequences = append(stopSequences, value.String())
return true
})
if len(stopSequences) > 0 {
out, _ = sjson.Set(out, "stop_sequences", stopSequences)
}
} else {
out, _ = sjson.Set(out, "stop_sequences", []string{stop.String()})
}
}
// Stream configuration to enable or disable streaming responses
out, _ = sjson.Set(out, "stream", stream)
// Process messages and transform them to Claude Code format
var anthropicMessages []interface{}
var toolCallIDs []string // Track tool call IDs for matching with tool results
if messages := root.Get("messages"); messages.Exists() && messages.IsArray() {
messages.ForEach(func(_, message gjson.Result) bool {
role := message.Get("role").String()
contentResult := message.Get("content")
switch role {
case "system", "user", "assistant":
// Create Claude Code message with appropriate role mapping
if role == "system" {
role = "user"
}
msg := map[string]interface{}{
"role": role,
"content": []interface{}{},
}
// Handle content based on its type (string or array)
if contentResult.Exists() && contentResult.Type == gjson.String && contentResult.String() != "" {
// Simple text content conversion
msg["content"] = []interface{}{
map[string]interface{}{
"type": "text",
"text": contentResult.String(),
},
}
} else if contentResult.Exists() && contentResult.IsArray() {
// Array of content parts processing
var contentParts []interface{}
contentResult.ForEach(func(_, part gjson.Result) bool {
partType := part.Get("type").String()
switch partType {
case "text":
// Text part conversion
contentParts = append(contentParts, map[string]interface{}{
"type": "text",
"text": part.Get("text").String(),
})
case "image_url":
// Convert OpenAI image format to Claude Code format
imageURL := part.Get("image_url.url").String()
if strings.HasPrefix(imageURL, "data:") {
// Extract base64 data and media type from data URL
parts := strings.Split(imageURL, ",")
if len(parts) == 2 {
mediaTypePart := strings.Split(parts[0], ";")[0]
mediaType := strings.TrimPrefix(mediaTypePart, "data:")
data := parts[1]
contentParts = append(contentParts, map[string]interface{}{
"type": "image",
"source": map[string]interface{}{
"type": "base64",
"media_type": mediaType,
"data": data,
},
})
}
}
}
return true
})
if len(contentParts) > 0 {
msg["content"] = contentParts
}
} else {
// Initialize empty content array for tool calls
msg["content"] = []interface{}{}
}
// Handle tool calls (for assistant messages)
if toolCalls := message.Get("tool_calls"); toolCalls.Exists() && toolCalls.IsArray() && role == "assistant" {
var contentParts []interface{}
// Add existing text content if any
if existingContent, ok := msg["content"].([]interface{}); ok {
contentParts = existingContent
}
toolCalls.ForEach(func(_, toolCall gjson.Result) bool {
if toolCall.Get("type").String() == "function" {
toolCallID := toolCall.Get("id").String()
if toolCallID == "" {
toolCallID = genToolCallID()
}
toolCallIDs = append(toolCallIDs, toolCallID)
function := toolCall.Get("function")
toolUse := map[string]interface{}{
"type": "tool_use",
"id": toolCallID,
"name": function.Get("name").String(),
}
// Parse arguments for the tool call
if args := function.Get("arguments"); args.Exists() {
argsStr := args.String()
if argsStr != "" {
var argsMap map[string]interface{}
if err := json.Unmarshal([]byte(argsStr), &argsMap); err == nil {
toolUse["input"] = argsMap
} else {
toolUse["input"] = map[string]interface{}{}
}
} else {
toolUse["input"] = map[string]interface{}{}
}
} else {
toolUse["input"] = map[string]interface{}{}
}
contentParts = append(contentParts, toolUse)
}
return true
})
msg["content"] = contentParts
}
anthropicMessages = append(anthropicMessages, msg)
case "tool":
// Handle tool result messages conversion
toolCallID := message.Get("tool_call_id").String()
content := message.Get("content").String()
// Create tool result message in Claude Code format
msg := map[string]interface{}{
"role": "user",
"content": []interface{}{
map[string]interface{}{
"type": "tool_result",
"tool_use_id": toolCallID,
"content": content,
},
},
}
anthropicMessages = append(anthropicMessages, msg)
}
return true
})
}
// Set messages in the output template
if len(anthropicMessages) > 0 {
messagesJSON, _ := json.Marshal(anthropicMessages)
out, _ = sjson.SetRaw(out, "messages", string(messagesJSON))
}
// Tools mapping: OpenAI tools -> Claude Code tools
if tools := root.Get("tools"); tools.Exists() && tools.IsArray() && len(tools.Array()) > 0 {
var anthropicTools []interface{}
tools.ForEach(func(_, tool gjson.Result) bool {
if tool.Get("type").String() == "function" {
function := tool.Get("function")
anthropicTool := map[string]interface{}{
"name": function.Get("name").String(),
"description": function.Get("description").String(),
}
// Convert parameters schema for the tool
if parameters := function.Get("parameters"); parameters.Exists() {
anthropicTool["input_schema"] = parameters.Value()
} else if parameters = function.Get("parametersJsonSchema"); parameters.Exists() {
anthropicTool["input_schema"] = parameters.Value()
}
anthropicTools = append(anthropicTools, anthropicTool)
}
return true
})
if len(anthropicTools) > 0 {
toolsJSON, _ := json.Marshal(anthropicTools)
out, _ = sjson.SetRaw(out, "tools", string(toolsJSON))
}
}
// Tool choice mapping from OpenAI format to Claude Code format
if toolChoice := root.Get("tool_choice"); toolChoice.Exists() {
switch toolChoice.Type {
case gjson.String:
choice := toolChoice.String()
switch choice {
case "none":
// Don't set tool_choice, Claude Code will not use tools
case "auto":
out, _ = sjson.Set(out, "tool_choice", map[string]interface{}{"type": "auto"})
case "required":
out, _ = sjson.Set(out, "tool_choice", map[string]interface{}{"type": "any"})
}
case gjson.JSON:
// Specific tool choice mapping
if toolChoice.Get("type").String() == "function" {
functionName := toolChoice.Get("function.name").String()
out, _ = sjson.Set(out, "tool_choice", map[string]interface{}{
"type": "tool",
"name": functionName,
})
}
default:
}
}
return []byte(out)
}

458
internal/translator/claude/openai/chat-completions/claude_openai_response.go
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@@ -1,458 +0,0 @@
// Package openai provides response translation functionality for Claude Code to OpenAI API compatibility.
// This package handles the conversion of Claude Code API responses into OpenAI Chat Completions-compatible
// JSON format, transforming streaming events and non-streaming responses into the format
// expected by OpenAI API clients. It supports both streaming and non-streaming modes,
// handling text content, tool calls, reasoning content, and usage metadata appropriately.
package chat_completions
import (
"bytes"
"context"
"encoding/json"
"strings"
"time"
"github.com/tidwall/gjson"
"github.com/tidwall/sjson"
)
var (
dataTag = []byte("data:")
)
// ConvertAnthropicResponseToOpenAIParams holds parameters for response conversion
type ConvertAnthropicResponseToOpenAIParams struct {
CreatedAt int64
ResponseID string
FinishReason string
// Tool calls accumulator for streaming
ToolCallsAccumulator map[int]*ToolCallAccumulator
}
// ToolCallAccumulator holds the state for accumulating tool call data
type ToolCallAccumulator struct {
ID string
Name string
Arguments strings.Builder
}
// ConvertClaudeResponseToOpenAI converts Claude Code streaming response format to OpenAI Chat Completions format.
// This function processes various Claude Code event types and transforms them into OpenAI-compatible JSON responses.
// It handles text content, tool calls, reasoning content, and usage metadata, outputting responses that match
// the OpenAI API format. The function supports incremental updates for streaming responses.
//
// Parameters:
// - ctx: The context for the request, used for cancellation and timeout handling
// - modelName: The name of the model being used for the response
// - rawJSON: The raw JSON response from the Claude Code API
// - param: A pointer to a parameter object for maintaining state between calls
//
// Returns:
// - []string: A slice of strings, each containing an OpenAI-compatible JSON response
func ConvertClaudeResponseToOpenAI(_ context.Context, modelName string, originalRequestRawJSON, requestRawJSON, rawJSON []byte, param *any) []string {
if *param == nil {
*param = &ConvertAnthropicResponseToOpenAIParams{
CreatedAt: 0,
ResponseID: "",
FinishReason: "",
}
}
if !bytes.HasPrefix(rawJSON, dataTag) {
return []string{}
}
rawJSON = bytes.TrimSpace(rawJSON[5:])
root := gjson.ParseBytes(rawJSON)
eventType := root.Get("type").String()
// Base OpenAI streaming response template
template := `{"id":"","object":"chat.completion.chunk","created":0,"model":"","choices":[{"index":0,"delta":{},"finish_reason":null}]}`
// Set model
if modelName != "" {
template, _ = sjson.Set(template, "model", modelName)
}
// Set response ID and creation time
if (*param).(*ConvertAnthropicResponseToOpenAIParams).ResponseID != "" {
template, _ = sjson.Set(template, "id", (*param).(*ConvertAnthropicResponseToOpenAIParams).ResponseID)
}
if (*param).(*ConvertAnthropicResponseToOpenAIParams).CreatedAt > 0 {
template, _ = sjson.Set(template, "created", (*param).(*ConvertAnthropicResponseToOpenAIParams).CreatedAt)
}
switch eventType {
case "message_start":
// Initialize response with message metadata when a new message begins
if message := root.Get("message"); message.Exists() {
(*param).(*ConvertAnthropicResponseToOpenAIParams).ResponseID = message.Get("id").String()
(*param).(*ConvertAnthropicResponseToOpenAIParams).CreatedAt = time.Now().Unix()
template, _ = sjson.Set(template, "id", (*param).(*ConvertAnthropicResponseToOpenAIParams).ResponseID)
template, _ = sjson.Set(template, "model", modelName)
template, _ = sjson.Set(template, "created", (*param).(*ConvertAnthropicResponseToOpenAIParams).CreatedAt)
// Set initial role to assistant for the response
template, _ = sjson.Set(template, "choices.0.delta.role", "assistant")
// Initialize tool calls accumulator for tracking tool call progress
if (*param).(*ConvertAnthropicResponseToOpenAIParams).ToolCallsAccumulator == nil {
(*param).(*ConvertAnthropicResponseToOpenAIParams).ToolCallsAccumulator = make(map[int]*ToolCallAccumulator)
}
}
return []string{template}
case "content_block_start":
// Start of a content block (text, tool use, or reasoning)
if contentBlock := root.Get("content_block"); contentBlock.Exists() {
blockType := contentBlock.Get("type").String()
if blockType == "tool_use" {
// Start of tool call - initialize accumulator to track arguments
toolCallID := contentBlock.Get("id").String()
toolName := contentBlock.Get("name").String()
index := int(root.Get("index").Int())
if (*param).(*ConvertAnthropicResponseToOpenAIParams).ToolCallsAccumulator == nil {
(*param).(*ConvertAnthropicResponseToOpenAIParams).ToolCallsAccumulator = make(map[int]*ToolCallAccumulator)
}
(*param).(*ConvertAnthropicResponseToOpenAIParams).ToolCallsAccumulator[index] = &ToolCallAccumulator{
ID: toolCallID,
Name: toolName,
}
// Don't output anything yet - wait for complete tool call
return []string{}
}
}
return []string{}
case "content_block_delta":
// Handle content delta (text, tool use arguments, or reasoning content)
hasContent := false
if delta := root.Get("delta"); delta.Exists() {
deltaType := delta.Get("type").String()
switch deltaType {
case "text_delta":
// Text content delta - send incremental text updates
if text := delta.Get("text"); text.Exists() {
template, _ = sjson.Set(template, "choices.0.delta.content", text.String())
hasContent = true
}
case "thinking_delta":
// Accumulate reasoning/thinking content
if thinking := delta.Get("thinking"); thinking.Exists() {
template, _ = sjson.Set(template, "choices.0.delta.reasoning_content", thinking.String())
hasContent = true
}
case "input_json_delta":
// Tool use input delta - accumulate arguments for tool calls
if partialJSON := delta.Get("partial_json"); partialJSON.Exists() {
index := int(root.Get("index").Int())
if (*param).(*ConvertAnthropicResponseToOpenAIParams).ToolCallsAccumulator != nil {
if accumulator, exists := (*param).(*ConvertAnthropicResponseToOpenAIParams).ToolCallsAccumulator[index]; exists {
accumulator.Arguments.WriteString(partialJSON.String())
}
}
}
// Don't output anything yet - wait for complete tool call
return []string{}
}
}
if hasContent {
return []string{template}
} else {
return []string{}
}
case "content_block_stop":
// End of content block - output complete tool call if it's a tool_use block
index := int(root.Get("index").Int())
if (*param).(*ConvertAnthropicResponseToOpenAIParams).ToolCallsAccumulator != nil {
if accumulator, exists := (*param).(*ConvertAnthropicResponseToOpenAIParams).ToolCallsAccumulator[index]; exists {
// Build complete tool call with accumulated arguments
arguments := accumulator.Arguments.String()
if arguments == "" {
arguments = "{}"
}
toolCall := map[string]interface{}{
"index": index,
"id": accumulator.ID,
"type": "function",
"function": map[string]interface{}{
"name": accumulator.Name,
"arguments": arguments,
},
}
template, _ = sjson.Set(template, "choices.0.delta.tool_calls", []interface{}{toolCall})
// Clean up the accumulator for this index
delete((*param).(*ConvertAnthropicResponseToOpenAIParams).ToolCallsAccumulator, index)
return []string{template}
}
}
return []string{}
case "message_delta":
// Handle message-level changes including stop reason and usage
if delta := root.Get("delta"); delta.Exists() {
if stopReason := delta.Get("stop_reason"); stopReason.Exists() {
(*param).(*ConvertAnthropicResponseToOpenAIParams).FinishReason = mapAnthropicStopReasonToOpenAI(stopReason.String())
template, _ = sjson.Set(template, "choices.0.finish_reason", (*param).(*ConvertAnthropicResponseToOpenAIParams).FinishReason)
}
}
// Handle usage information for token counts
if usage := root.Get("usage"); usage.Exists() {
usageObj := map[string]interface{}{
"prompt_tokens": usage.Get("input_tokens").Int(),
"completion_tokens": usage.Get("output_tokens").Int(),
"total_tokens": usage.Get("input_tokens").Int() + usage.Get("output_tokens").Int(),
}
template, _ = sjson.Set(template, "usage", usageObj)
}
return []string{template}
case "message_stop":
// Final message event - no additional output needed
return []string{}
case "ping":
// Ping events for keeping connection alive - no output needed
return []string{}
case "error":
// Error event - format and return error response
if errorData := root.Get("error"); errorData.Exists() {
errorResponse := map[string]interface{}{
"error": map[string]interface{}{
"message": errorData.Get("message").String(),
"type": errorData.Get("type").String(),
},
}
errorJSON, _ := json.Marshal(errorResponse)
return []string{string(errorJSON)}
}
return []string{}
default:
// Unknown event type - ignore
return []string{}
}
}
// mapAnthropicStopReasonToOpenAI maps Anthropic stop reasons to OpenAI stop reasons
func mapAnthropicStopReasonToOpenAI(anthropicReason string) string {
switch anthropicReason {
case "end_turn":
return "stop"
case "tool_use":
return "tool_calls"
case "max_tokens":
return "length"
case "stop_sequence":
return "stop"
default:
return "stop"
}
}
// ConvertClaudeResponseToOpenAINonStream converts a non-streaming Claude Code response to a non-streaming OpenAI response.
// This function processes the complete Claude Code response and transforms it into a single OpenAI-compatible
// JSON response. It handles message content, tool calls, reasoning content, and usage metadata, combining all
// the information into a single response that matches the OpenAI API format.
//
// Parameters:
// - ctx: The context for the request, used for cancellation and timeout handling
// - modelName: The name of the model being used for the response (unused in current implementation)
// - rawJSON: The raw JSON response from the Claude Code API
// - param: A pointer to a parameter object for the conversion (unused in current implementation)
//
// Returns:
// - string: An OpenAI-compatible JSON response containing all message content and metadata
func ConvertClaudeResponseToOpenAINonStream(_ context.Context, _ string, originalRequestRawJSON, requestRawJSON, rawJSON []byte, _ *any) string {
chunks := make([][]byte, 0)
lines := bytes.Split(rawJSON, []byte("\n"))
for _, line := range lines {
if !bytes.HasPrefix(line, dataTag) {
continue
}
chunks = append(chunks, bytes.TrimSpace(line[5:]))
}
// Base OpenAI non-streaming response template
out := `{"id":"","object":"chat.completion","created":0,"model":"","choices":[{"index":0,"message":{"role":"assistant","content":""},"finish_reason":"stop"}],"usage":{"prompt_tokens":0,"completion_tokens":0,"total_tokens":0}}`
var messageID string
var model string
var createdAt int64
var inputTokens, outputTokens int64
var reasoningTokens int64
var stopReason string
var contentParts []string
var reasoningParts []string
// Use map to track tool calls by index for proper merging
toolCallsMap := make(map[int]map[string]interface{})
// Track tool call arguments accumulation
toolCallArgsMap := make(map[int]strings.Builder)
for _, chunk := range chunks {
root := gjson.ParseBytes(chunk)
eventType := root.Get("type").String()
switch eventType {
case "message_start":
// Extract initial message metadata including ID, model, and input token count
if message := root.Get("message"); message.Exists() {
messageID = message.Get("id").String()
model = message.Get("model").String()
createdAt = time.Now().Unix()
if usage := message.Get("usage"); usage.Exists() {
inputTokens = usage.Get("input_tokens").Int()
}
}
case "content_block_start":
// Handle different content block types at the beginning
if contentBlock := root.Get("content_block"); contentBlock.Exists() {
blockType := contentBlock.Get("type").String()
if blockType == "thinking" {
// Start of thinking/reasoning content - skip for now as it's handled in delta
continue
} else if blockType == "tool_use" {
// Initialize tool call tracking for this index
index := int(root.Get("index").Int())
toolCallsMap[index] = map[string]interface{}{
"id": contentBlock.Get("id").String(),
"type": "function",
"function": map[string]interface{}{
"name": contentBlock.Get("name").String(),
"arguments": "",
},
}
// Initialize arguments builder for this tool call
toolCallArgsMap[index] = strings.Builder{}
}
}
case "content_block_delta":
// Process incremental content updates
if delta := root.Get("delta"); delta.Exists() {
deltaType := delta.Get("type").String()
switch deltaType {
case "text_delta":
// Accumulate text content
if text := delta.Get("text"); text.Exists() {
contentParts = append(contentParts, text.String())
}
case "thinking_delta":
// Accumulate reasoning/thinking content
if thinking := delta.Get("thinking"); thinking.Exists() {
reasoningParts = append(reasoningParts, thinking.String())
}
case "input_json_delta":
// Accumulate tool call arguments
if partialJSON := delta.Get("partial_json"); partialJSON.Exists() {
index := int(root.Get("index").Int())
if builder, exists := toolCallArgsMap[index]; exists {
builder.WriteString(partialJSON.String())
toolCallArgsMap[index] = builder
}
}
}
}
case "content_block_stop":
// Finalize tool call arguments for this index when content block ends
index := int(root.Get("index").Int())
if toolCall, exists := toolCallsMap[index]; exists {
if builder, argsExists := toolCallArgsMap[index]; argsExists {
// Set the accumulated arguments for the tool call
arguments := builder.String()
if arguments == "" {
arguments = "{}"
}
toolCall["function"].(map[string]interface{})["arguments"] = arguments
}
}
case "message_delta":
// Extract stop reason and output token count when message ends
if delta := root.Get("delta"); delta.Exists() {
if sr := delta.Get("stop_reason"); sr.Exists() {
stopReason = sr.String()
}
}
if usage := root.Get("usage"); usage.Exists() {
outputTokens = usage.Get("output_tokens").Int()
// Estimate reasoning tokens from accumulated thinking content
if len(reasoningParts) > 0 {
reasoningTokens = int64(len(strings.Join(reasoningParts, "")) / 4) // Rough estimation
}
}
}
}
// Set basic response fields including message ID, creation time, and model
out, _ = sjson.Set(out, "id", messageID)
out, _ = sjson.Set(out, "created", createdAt)
out, _ = sjson.Set(out, "model", model)
// Set message content by combining all text parts
messageContent := strings.Join(contentParts, "")
out, _ = sjson.Set(out, "choices.0.message.content", messageContent)
// Add reasoning content if available (following OpenAI reasoning format)
if len(reasoningParts) > 0 {
reasoningContent := strings.Join(reasoningParts, "")
// Add reasoning as a separate field in the message
out, _ = sjson.Set(out, "choices.0.message.reasoning", reasoningContent)
}
// Set tool calls if any were accumulated during processing
if len(toolCallsMap) > 0 {
// Convert tool calls map to array, preserving order by index
var toolCallsArray []interface{}
// Find the maximum index to determine the range
maxIndex := -1
for index := range toolCallsMap {
if index > maxIndex {
maxIndex = index
}
}
// Iterate through all possible indices up to maxIndex
for i := 0; i <= maxIndex; i++ {
if toolCall, exists := toolCallsMap[i]; exists {
toolCallsArray = append(toolCallsArray, toolCall)
}
}
if len(toolCallsArray) > 0 {
out, _ = sjson.Set(out, "choices.0.message.tool_calls", toolCallsArray)
out, _ = sjson.Set(out, "choices.0.finish_reason", "tool_calls")
} else {
out, _ = sjson.Set(out, "choices.0.finish_reason", mapAnthropicStopReasonToOpenAI(stopReason))
}
} else {
out, _ = sjson.Set(out, "choices.0.finish_reason", mapAnthropicStopReasonToOpenAI(stopReason))
}
// Set usage information including prompt tokens, completion tokens, and total tokens
totalTokens := inputTokens + outputTokens
out, _ = sjson.Set(out, "usage.prompt_tokens", inputTokens)
out, _ = sjson.Set(out, "usage.completion_tokens", outputTokens)
out, _ = sjson.Set(out, "usage.total_tokens", totalTokens)
// Add reasoning tokens to usage details if any reasoning content was processed
if reasoningTokens > 0 {
out, _ = sjson.Set(out, "usage.completion_tokens_details.reasoning_tokens", reasoningTokens)
}
return out
}

19
internal/translator/claude/openai/chat-completions/init.go
View File

@@ -1,19 +0,0 @@
package chat_completions
import (
. "github.com/router-for-me/CLIProxyAPI/v6/internal/constant"
"github.com/router-for-me/CLIProxyAPI/v6/internal/interfaces"
"github.com/router-for-me/CLIProxyAPI/v6/internal/translator/translator"
)
func init() {
translator.Register(
OpenAI,
Claude,
ConvertOpenAIRequestToClaude,
interfaces.TranslateResponse{
Stream: ConvertClaudeResponseToOpenAI,
NonStream: ConvertClaudeResponseToOpenAINonStream,
},
)
}

249
internal/translator/claude/openai/responses/claude_openai-responses_request.go
View File

@@ -1,249 +0,0 @@
package responses
import (
"bytes"
"crypto/rand"
"math/big"
"strings"
"github.com/tidwall/gjson"
"github.com/tidwall/sjson"
)
// ConvertOpenAIResponsesRequestToClaude transforms an OpenAI Responses API request
// into a Claude Messages API request using only gjson/sjson for JSON handling.
// It supports:
// - instructions -> system message
// - input[].type==message with input_text/output_text -> user/assistant messages
// - function_call -> assistant tool_use
// - function_call_output -> user tool_result
// - tools[].parameters -> tools[].input_schema
// - max_output_tokens -> max_tokens
// - stream passthrough via parameter
func ConvertOpenAIResponsesRequestToClaude(modelName string, inputRawJSON []byte, stream bool) []byte {
rawJSON := bytes.Clone(inputRawJSON)
// Base Claude message payload
out := `{"model":"","max_tokens":32000,"messages":[]}`
root := gjson.ParseBytes(rawJSON)
if v := root.Get("reasoning.effort"); v.Exists() {
out, _ = sjson.Set(out, "thinking.type", "enabled")
switch v.String() {
case "none":
out, _ = sjson.Set(out, "thinking.type", "disabled")
case "minimal":
out, _ = sjson.Set(out, "thinking.budget_tokens", 1024)
case "low":
out, _ = sjson.Set(out, "thinking.budget_tokens", 4096)
case "medium":
out, _ = sjson.Set(out, "thinking.budget_tokens", 8192)
case "high":
out, _ = sjson.Set(out, "thinking.budget_tokens", 24576)
}
}
// Helper for generating tool call IDs when missing
genToolCallID := func() string {
const letters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789"
var b strings.Builder
for i := 0; i < 24; i++ {
n, _ := rand.Int(rand.Reader, big.NewInt(int64(len(letters))))
b.WriteByte(letters[n.Int64()])
}
return "toolu_" + b.String()
}
// Model
out, _ = sjson.Set(out, "model", modelName)
// Max tokens
if mot := root.Get("max_output_tokens"); mot.Exists() {
out, _ = sjson.Set(out, "max_tokens", mot.Int())
}
// Stream
out, _ = sjson.Set(out, "stream", stream)
// instructions -> as a leading message (use role user for Claude API compatibility)
instructionsText := ""
extractedFromSystem := false
if instr := root.Get("instructions"); instr.Exists() && instr.Type == gjson.String {
instructionsText = instr.String()
if instructionsText != "" {
sysMsg := `{"role":"user","content":""}`
sysMsg, _ = sjson.Set(sysMsg, "content", instructionsText)
out, _ = sjson.SetRaw(out, "messages.-1", sysMsg)
}
}
if instructionsText == "" {
if input := root.Get("input"); input.Exists() && input.IsArray() {
input.ForEach(func(_, item gjson.Result) bool {
if strings.EqualFold(item.Get("role").String(), "system") {
var builder strings.Builder
if parts := item.Get("content"); parts.Exists() && parts.IsArray() {
parts.ForEach(func(_, part gjson.Result) bool {
text := part.Get("text").String()
if builder.Len() > 0 && text != "" {
builder.WriteByte('\n')
}
builder.WriteString(text)
return true
})
}
instructionsText = builder.String()
if instructionsText != "" {
sysMsg := `{"role":"user","content":""}`
sysMsg, _ = sjson.Set(sysMsg, "content", instructionsText)
out, _ = sjson.SetRaw(out, "messages.-1", sysMsg)
extractedFromSystem = true
}
}
return instructionsText == ""
})
}
}
// input array processing
if input := root.Get("input"); input.Exists() && input.IsArray() {
input.ForEach(func(_, item gjson.Result) bool {
if extractedFromSystem && strings.EqualFold(item.Get("role").String(), "system") {
return true
}
typ := item.Get("type").String()
if typ == "" && item.Get("role").String() != "" {
typ = "message"
}
switch typ {
case "message":
// Determine role from content type (input_text=user, output_text=assistant)
var role string
var text strings.Builder
if parts := item.Get("content"); parts.Exists() && parts.IsArray() {
parts.ForEach(func(_, part gjson.Result) bool {
ptype := part.Get("type").String()
if ptype == "input_text" || ptype == "output_text" {
if t := part.Get("text"); t.Exists() {
text.WriteString(t.String())
}
if ptype == "input_text" {
role = "user"
} else if ptype == "output_text" {
role = "assistant"
}
}
return true
})
}
// Fallback to given role if content types not decisive
if role == "" {
r := item.Get("role").String()
switch r {
case "user", "assistant", "system":
role = r
default:
role = "user"
}
}
if text.Len() > 0 || role == "system" {
msg := `{"role":"","content":""}`
msg, _ = sjson.Set(msg, "role", role)
if text.Len() > 0 {
msg, _ = sjson.Set(msg, "content", text.String())
} else {
msg, _ = sjson.Set(msg, "content", "")
}
out, _ = sjson.SetRaw(out, "messages.-1", msg)
}
case "function_call":
// Map to assistant tool_use
callID := item.Get("call_id").String()
if callID == "" {
callID = genToolCallID()
}
name := item.Get("name").String()
argsStr := item.Get("arguments").String()
toolUse := `{"type":"tool_use","id":"","name":"","input":{}}`
toolUse, _ = sjson.Set(toolUse, "id", callID)
toolUse, _ = sjson.Set(toolUse, "name", name)
if argsStr != "" && gjson.Valid(argsStr) {
toolUse, _ = sjson.SetRaw(toolUse, "input", argsStr)
}
asst := `{"role":"assistant","content":[]}`
asst, _ = sjson.SetRaw(asst, "content.-1", toolUse)
out, _ = sjson.SetRaw(out, "messages.-1", asst)
case "function_call_output":
// Map to user tool_result
callID := item.Get("call_id").String()
outputStr := item.Get("output").String()
toolResult := `{"type":"tool_result","tool_use_id":"","content":""}`
toolResult, _ = sjson.Set(toolResult, "tool_use_id", callID)
toolResult, _ = sjson.Set(toolResult, "content", outputStr)
usr := `{"role":"user","content":[]}`
usr, _ = sjson.SetRaw(usr, "content.-1", toolResult)
out, _ = sjson.SetRaw(out, "messages.-1", usr)
}
return true
})
}
// tools mapping: parameters -> input_schema
if tools := root.Get("tools"); tools.Exists() && tools.IsArray() {
toolsJSON := "[]"
tools.ForEach(func(_, tool gjson.Result) bool {
tJSON := `{"name":"","description":"","input_schema":{}}`
if n := tool.Get("name"); n.Exists() {
tJSON, _ = sjson.Set(tJSON, "name", n.String())
}
if d := tool.Get("description"); d.Exists() {
tJSON, _ = sjson.Set(tJSON, "description", d.String())
}
if params := tool.Get("parameters"); params.Exists() {
tJSON, _ = sjson.SetRaw(tJSON, "input_schema", params.Raw)
} else if params = tool.Get("parametersJsonSchema"); params.Exists() {
tJSON, _ = sjson.SetRaw(tJSON, "input_schema", params.Raw)
}
toolsJSON, _ = sjson.SetRaw(toolsJSON, "-1", tJSON)
return true
})
if gjson.Parse(toolsJSON).IsArray() && len(gjson.Parse(toolsJSON).Array()) > 0 {
out, _ = sjson.SetRaw(out, "tools", toolsJSON)
}
}
// Map tool_choice similar to Chat Completions translator (optional in docs, safe to handle)
if toolChoice := root.Get("tool_choice"); toolChoice.Exists() {
switch toolChoice.Type {
case gjson.String:
switch toolChoice.String() {
case "auto":
out, _ = sjson.Set(out, "tool_choice", map[string]interface{}{"type": "auto"})
case "none":
// Leave unset; implies no tools
case "required":
out, _ = sjson.Set(out, "tool_choice", map[string]interface{}{"type": "any"})
}
case gjson.JSON:
if toolChoice.Get("type").String() == "function" {
fn := toolChoice.Get("function.name").String()
out, _ = sjson.Set(out, "tool_choice", map[string]interface{}{"type": "tool", "name": fn})
}
default:
}
}
return []byte(out)
}

654
internal/translator/claude/openai/responses/claude_openai-responses_response.go
View File

@@ -1,654 +0,0 @@
package responses
import (
"bufio"
"bytes"
"context"
"fmt"
"strings"
"time"
"github.com/tidwall/gjson"
"github.com/tidwall/sjson"
)
type claudeToResponsesState struct {
Seq int
ResponseID string
CreatedAt int64
CurrentMsgID string
CurrentFCID string
InTextBlock bool
InFuncBlock bool
FuncArgsBuf map[int]*strings.Builder // index -> args
// function call bookkeeping for output aggregation
FuncNames map[int]string // index -> function name
FuncCallIDs map[int]string // index -> call id
// message text aggregation
TextBuf strings.Builder
// reasoning state
ReasoningActive bool
ReasoningItemID string
ReasoningBuf strings.Builder
ReasoningPartAdded bool
ReasoningIndex int
}
var dataTag = []byte("data:")
func emitEvent(event string, payload string) string {
return fmt.Sprintf("event: %s\ndata: %s", event, payload)
}
// ConvertClaudeResponseToOpenAIResponses converts Claude SSE to OpenAI Responses SSE events.
func ConvertClaudeResponseToOpenAIResponses(ctx context.Context, modelName string, originalRequestRawJSON, requestRawJSON, rawJSON []byte, param *any) []string {
if *param == nil {
*param = &claudeToResponsesState{FuncArgsBuf: make(map[int]*strings.Builder), FuncNames: make(map[int]string), FuncCallIDs: make(map[int]string)}
}
st := (*param).(*claudeToResponsesState)
// Expect `data: {..}` from Claude clients
if !bytes.HasPrefix(rawJSON, dataTag) {
return []string{}
}
rawJSON = bytes.TrimSpace(rawJSON[5:])
root := gjson.ParseBytes(rawJSON)
ev := root.Get("type").String()
var out []string
nextSeq := func() int { st.Seq++; return st.Seq }
switch ev {
case "message_start":
if msg := root.Get("message"); msg.Exists() {
st.ResponseID = msg.Get("id").String()
st.CreatedAt = time.Now().Unix()
// Reset per-message aggregation state
st.TextBuf.Reset()
st.ReasoningBuf.Reset()
st.ReasoningActive = false
st.InTextBlock = false
st.InFuncBlock = false
st.CurrentMsgID = ""
st.CurrentFCID = ""
st.ReasoningItemID = ""
st.ReasoningIndex = 0
st.ReasoningPartAdded = false
st.FuncArgsBuf = make(map[int]*strings.Builder)
st.FuncNames = make(map[int]string)
st.FuncCallIDs = make(map[int]string)
// response.created
created := `{"type":"response.created","sequence_number":0,"response":{"id":"","object":"response","created_at":0,"status":"in_progress","background":false,"error":null,"instructions":""}}`
created, _ = sjson.Set(created, "sequence_number", nextSeq())
created, _ = sjson.Set(created, "response.id", st.ResponseID)
created, _ = sjson.Set(created, "response.created_at", st.CreatedAt)
out = append(out, emitEvent("response.created", created))
// response.in_progress
inprog := `{"type":"response.in_progress","sequence_number":0,"response":{"id":"","object":"response","created_at":0,"status":"in_progress"}}`
inprog, _ = sjson.Set(inprog, "sequence_number", nextSeq())
inprog, _ = sjson.Set(inprog, "response.id", st.ResponseID)
inprog, _ = sjson.Set(inprog, "response.created_at", st.CreatedAt)
out = append(out, emitEvent("response.in_progress", inprog))
}
case "content_block_start":
cb := root.Get("content_block")
if !cb.Exists() {
return out
}
idx := int(root.Get("index").Int())
typ := cb.Get("type").String()
if typ == "text" {
// open message item + content part
st.InTextBlock = true
st.CurrentMsgID = fmt.Sprintf("msg_%s_0", st.ResponseID)
item := `{"type":"response.output_item.added","sequence_number":0,"output_index":0,"item":{"id":"","type":"message","status":"in_progress","content":[],"role":"assistant"}}`
item, _ = sjson.Set(item, "sequence_number", nextSeq())
item, _ = sjson.Set(item, "item.id", st.CurrentMsgID)
out = append(out, emitEvent("response.output_item.added", item))
part := `{"type":"response.content_part.added","sequence_number":0,"item_id":"","output_index":0,"content_index":0,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":""}}`
part, _ = sjson.Set(part, "sequence_number", nextSeq())
part, _ = sjson.Set(part, "item_id", st.CurrentMsgID)
out = append(out, emitEvent("response.content_part.added", part))
} else if typ == "tool_use" {
st.InFuncBlock = true
st.CurrentFCID = cb.Get("id").String()
name := cb.Get("name").String()
item := `{"type":"response.output_item.added","sequence_number":0,"output_index":0,"item":{"id":"","type":"function_call","status":"in_progress","arguments":"","call_id":"","name":""}}`
item, _ = sjson.Set(item, "sequence_number", nextSeq())
item, _ = sjson.Set(item, "output_index", idx)
item, _ = sjson.Set(item, "item.id", fmt.Sprintf("fc_%s", st.CurrentFCID))
item, _ = sjson.Set(item, "item.call_id", st.CurrentFCID)
item, _ = sjson.Set(item, "item.name", name)
out = append(out, emitEvent("response.output_item.added", item))
if st.FuncArgsBuf[idx] == nil {
st.FuncArgsBuf[idx] = &strings.Builder{}
}
// record function metadata for aggregation
st.FuncCallIDs[idx] = st.CurrentFCID
st.FuncNames[idx] = name
} else if typ == "thinking" {
// start reasoning item
st.ReasoningActive = true
st.ReasoningIndex = idx
st.ReasoningBuf.Reset()
st.ReasoningItemID = fmt.Sprintf("rs_%s_%d", st.ResponseID, idx)
item := `{"type":"response.output_item.added","sequence_number":0,"output_index":0,"item":{"id":"","type":"reasoning","status":"in_progress","summary":[]}}`
item, _ = sjson.Set(item, "sequence_number", nextSeq())
item, _ = sjson.Set(item, "output_index", idx)
item, _ = sjson.Set(item, "item.id", st.ReasoningItemID)
out = append(out, emitEvent("response.output_item.added", item))
// add a summary part placeholder
part := `{"type":"response.reasoning_summary_part.added","sequence_number":0,"item_id":"","output_index":0,"summary_index":0,"part":{"type":"summary_text","text":""}}`
part, _ = sjson.Set(part, "sequence_number", nextSeq())
part, _ = sjson.Set(part, "item_id", st.ReasoningItemID)
part, _ = sjson.Set(part, "output_index", idx)
out = append(out, emitEvent("response.reasoning_summary_part.added", part))
st.ReasoningPartAdded = true
}
case "content_block_delta":
d := root.Get("delta")
if !d.Exists() {
return out
}
dt := d.Get("type").String()
if dt == "text_delta" {
if t := d.Get("text"); t.Exists() {
msg := `{"type":"response.output_text.delta","sequence_number":0,"item_id":"","output_index":0,"content_index":0,"delta":"","logprobs":[]}`
msg, _ = sjson.Set(msg, "sequence_number", nextSeq())
msg, _ = sjson.Set(msg, "item_id", st.CurrentMsgID)
msg, _ = sjson.Set(msg, "delta", t.String())
out = append(out, emitEvent("response.output_text.delta", msg))
// aggregate text for response.output
st.TextBuf.WriteString(t.String())
}
} else if dt == "input_json_delta" {
idx := int(root.Get("index").Int())
if pj := d.Get("partial_json"); pj.Exists() {
if st.FuncArgsBuf[idx] == nil {
st.FuncArgsBuf[idx] = &strings.Builder{}
}
st.FuncArgsBuf[idx].WriteString(pj.String())
msg := `{"type":"response.function_call_arguments.delta","sequence_number":0,"item_id":"","output_index":0,"delta":""}`
msg, _ = sjson.Set(msg, "sequence_number", nextSeq())
msg, _ = sjson.Set(msg, "item_id", fmt.Sprintf("fc_%s", st.CurrentFCID))
msg, _ = sjson.Set(msg, "output_index", idx)
msg, _ = sjson.Set(msg, "delta", pj.String())
out = append(out, emitEvent("response.function_call_arguments.delta", msg))
}
} else if dt == "thinking_delta" {
if st.ReasoningActive {
if t := d.Get("thinking"); t.Exists() {
st.ReasoningBuf.WriteString(t.String())
msg := `{"type":"response.reasoning_summary_text.delta","sequence_number":0,"item_id":"","output_index":0,"summary_index":0,"text":""}`
msg, _ = sjson.Set(msg, "sequence_number", nextSeq())
msg, _ = sjson.Set(msg, "item_id", st.ReasoningItemID)
msg, _ = sjson.Set(msg, "output_index", st.ReasoningIndex)
msg, _ = sjson.Set(msg, "text", t.String())
out = append(out, emitEvent("response.reasoning_summary_text.delta", msg))
}
}
}
case "content_block_stop":
idx := int(root.Get("index").Int())
if st.InTextBlock {
done := `{"type":"response.output_text.done","sequence_number":0,"item_id":"","output_index":0,"content_index":0,"text":"","logprobs":[]}`
done, _ = sjson.Set(done, "sequence_number", nextSeq())
done, _ = sjson.Set(done, "item_id", st.CurrentMsgID)
out = append(out, emitEvent("response.output_text.done", done))
partDone := `{"type":"response.content_part.done","sequence_number":0,"item_id":"","output_index":0,"content_index":0,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":""}}`
partDone, _ = sjson.Set(partDone, "sequence_number", nextSeq())
partDone, _ = sjson.Set(partDone, "item_id", st.CurrentMsgID)
out = append(out, emitEvent("response.content_part.done", partDone))
final := `{"type":"response.output_item.done","sequence_number":0,"output_index":0,"item":{"id":"","type":"message","status":"completed","content":[{"type":"output_text","text":""}],"role":"assistant"}}`
final, _ = sjson.Set(final, "sequence_number", nextSeq())
final, _ = sjson.Set(final, "item.id", st.CurrentMsgID)
out = append(out, emitEvent("response.output_item.done", final))
st.InTextBlock = false
} else if st.InFuncBlock {
args := "{}"
if buf := st.FuncArgsBuf[idx]; buf != nil {
if buf.Len() > 0 {
args = buf.String()
}
}
fcDone := `{"type":"response.function_call_arguments.done","sequence_number":0,"item_id":"","output_index":0,"arguments":""}`
fcDone, _ = sjson.Set(fcDone, "sequence_number", nextSeq())
fcDone, _ = sjson.Set(fcDone, "item_id", fmt.Sprintf("fc_%s", st.CurrentFCID))
fcDone, _ = sjson.Set(fcDone, "output_index", idx)
fcDone, _ = sjson.Set(fcDone, "arguments", args)
out = append(out, emitEvent("response.function_call_arguments.done", fcDone))
itemDone := `{"type":"response.output_item.done","sequence_number":0,"output_index":0,"item":{"id":"","type":"function_call","status":"completed","arguments":"","call_id":"","name":""}}`
itemDone, _ = sjson.Set(itemDone, "sequence_number", nextSeq())
itemDone, _ = sjson.Set(itemDone, "output_index", idx)
itemDone, _ = sjson.Set(itemDone, "item.id", fmt.Sprintf("fc_%s", st.CurrentFCID))
itemDone, _ = sjson.Set(itemDone, "item.arguments", args)
itemDone, _ = sjson.Set(itemDone, "item.call_id", st.CurrentFCID)
out = append(out, emitEvent("response.output_item.done", itemDone))
st.InFuncBlock = false
} else if st.ReasoningActive {
// close reasoning
full := st.ReasoningBuf.String()
textDone := `{"type":"response.reasoning_summary_text.done","sequence_number":0,"item_id":"","output_index":0,"summary_index":0,"text":""}`
textDone, _ = sjson.Set(textDone, "sequence_number", nextSeq())
textDone, _ = sjson.Set(textDone, "item_id", st.ReasoningItemID)
textDone, _ = sjson.Set(textDone, "output_index", st.ReasoningIndex)
textDone, _ = sjson.Set(textDone, "text", full)
out = append(out, emitEvent("response.reasoning_summary_text.done", textDone))
partDone := `{"type":"response.reasoning_summary_part.done","sequence_number":0,"item_id":"","output_index":0,"summary_index":0,"part":{"type":"summary_text","text":""}}`
partDone, _ = sjson.Set(partDone, "sequence_number", nextSeq())
partDone, _ = sjson.Set(partDone, "item_id", st.ReasoningItemID)
partDone, _ = sjson.Set(partDone, "output_index", st.ReasoningIndex)
partDone, _ = sjson.Set(partDone, "part.text", full)
out = append(out, emitEvent("response.reasoning_summary_part.done", partDone))
st.ReasoningActive = false
st.ReasoningPartAdded = false
}
case "message_stop":
completed := `{"type":"response.completed","sequence_number":0,"response":{"id":"","object":"response","created_at":0,"status":"completed","background":false,"error":null}}`
completed, _ = sjson.Set(completed, "sequence_number", nextSeq())
completed, _ = sjson.Set(completed, "response.id", st.ResponseID)
completed, _ = sjson.Set(completed, "response.created_at", st.CreatedAt)
// Inject original request fields into response as per docs/response.completed.json
if requestRawJSON != nil {
req := gjson.ParseBytes(requestRawJSON)
if v := req.Get("instructions"); v.Exists() {
completed, _ = sjson.Set(completed, "response.instructions", v.String())
}
if v := req.Get("max_output_tokens"); v.Exists() {
completed, _ = sjson.Set(completed, "response.max_output_tokens", v.Int())
}
if v := req.Get("max_tool_calls"); v.Exists() {
completed, _ = sjson.Set(completed, "response.max_tool_calls", v.Int())
}
if v := req.Get("model"); v.Exists() {
completed, _ = sjson.Set(completed, "response.model", v.String())
}
if v := req.Get("parallel_tool_calls"); v.Exists() {
completed, _ = sjson.Set(completed, "response.parallel_tool_calls", v.Bool())
}
if v := req.Get("previous_response_id"); v.Exists() {
completed, _ = sjson.Set(completed, "response.previous_response_id", v.String())
}
if v := req.Get("prompt_cache_key"); v.Exists() {
completed, _ = sjson.Set(completed, "response.prompt_cache_key", v.String())
}
if v := req.Get("reasoning"); v.Exists() {
completed, _ = sjson.Set(completed, "response.reasoning", v.Value())
}
if v := req.Get("safety_identifier"); v.Exists() {
completed, _ = sjson.Set(completed, "response.safety_identifier", v.String())
}
if v := req.Get("service_tier"); v.Exists() {
completed, _ = sjson.Set(completed, "response.service_tier", v.String())
}
if v := req.Get("store"); v.Exists() {
completed, _ = sjson.Set(completed, "response.store", v.Bool())
}
if v := req.Get("temperature"); v.Exists() {
completed, _ = sjson.Set(completed, "response.temperature", v.Float())
}
if v := req.Get("text"); v.Exists() {
completed, _ = sjson.Set(completed, "response.text", v.Value())
}
if v := req.Get("tool_choice"); v.Exists() {
completed, _ = sjson.Set(completed, "response.tool_choice", v.Value())
}
if v := req.Get("tools"); v.Exists() {
completed, _ = sjson.Set(completed, "response.tools", v.Value())
}
if v := req.Get("top_logprobs"); v.Exists() {
completed, _ = sjson.Set(completed, "response.top_logprobs", v.Int())
}
if v := req.Get("top_p"); v.Exists() {
completed, _ = sjson.Set(completed, "response.top_p", v.Float())
}
if v := req.Get("truncation"); v.Exists() {
completed, _ = sjson.Set(completed, "response.truncation", v.String())
}
if v := req.Get("user"); v.Exists() {
completed, _ = sjson.Set(completed, "response.user", v.Value())
}
if v := req.Get("metadata"); v.Exists() {
completed, _ = sjson.Set(completed, "response.metadata", v.Value())
}
}
// Build response.output from aggregated state
var outputs []interface{}
// reasoning item (if any)
if st.ReasoningBuf.Len() > 0 || st.ReasoningPartAdded {
r := map[string]interface{}{
"id": st.ReasoningItemID,
"type": "reasoning",
"summary": []interface{}{map[string]interface{}{"type": "summary_text", "text": st.ReasoningBuf.String()}},
}
outputs = append(outputs, r)
}
// assistant message item (if any text)
if st.TextBuf.Len() > 0 || st.InTextBlock || st.CurrentMsgID != "" {
m := map[string]interface{}{
"id": st.CurrentMsgID,
"type": "message",
"status": "completed",
"content": []interface{}{map[string]interface{}{
"type": "output_text",
"annotations": []interface{}{},
"logprobs": []interface{}{},
"text": st.TextBuf.String(),
}},
"role": "assistant",
}
outputs = append(outputs, m)
}
// function_call items (in ascending index order for determinism)
if len(st.FuncArgsBuf) > 0 {
// collect indices
idxs := make([]int, 0, len(st.FuncArgsBuf))
for idx := range st.FuncArgsBuf {
idxs = append(idxs, idx)
}
// simple sort (small N), avoid adding new imports
for i := 0; i < len(idxs); i++ {
for j := i + 1; j < len(idxs); j++ {
if idxs[j] < idxs[i] {
idxs[i], idxs[j] = idxs[j], idxs[i]
}
}
}
for _, idx := range idxs {
args := ""
if b := st.FuncArgsBuf[idx]; b != nil {
args = b.String()
}
callID := st.FuncCallIDs[idx]
name := st.FuncNames[idx]
if callID == "" && st.CurrentFCID != "" {
callID = st.CurrentFCID
}
item := map[string]interface{}{
"id": fmt.Sprintf("fc_%s", callID),
"type": "function_call",
"status": "completed",
"arguments": args,
"call_id": callID,
"name": name,
}
outputs = append(outputs, item)
}
}
if len(outputs) > 0 {
completed, _ = sjson.Set(completed, "response.output", outputs)
}
out = append(out, emitEvent("response.completed", completed))
}
return out
}
// ConvertClaudeResponseToOpenAIResponsesNonStream aggregates Claude SSE into a single OpenAI Responses JSON.
func ConvertClaudeResponseToOpenAIResponsesNonStream(_ context.Context, _ string, originalRequestRawJSON, requestRawJSON, rawJSON []byte, _ *any) string {
// Aggregate Claude SSE lines into a single OpenAI Responses JSON (non-stream)
// We follow the same aggregation logic as the streaming variant but produce
// one final object matching docs/out.json structure.
// Collect SSE data: lines start with "data: "; ignore others
var chunks [][]byte
{
// Use a simple scanner to iterate through raw bytes
// Note: extremely large responses may require increasing the buffer
scanner := bufio.NewScanner(bytes.NewReader(rawJSON))
buf := make([]byte, 10240*1024)
scanner.Buffer(buf, 10240*1024)
for scanner.Scan() {
line := scanner.Bytes()
if !bytes.HasPrefix(line, dataTag) {
continue
}
chunks = append(chunks, line[len(dataTag):])
}
}
// Base OpenAI Responses (non-stream) object
out := `{"id":"","object":"response","created_at":0,"status":"completed","background":false,"error":null,"incomplete_details":null,"output":[],"usage":{"input_tokens":0,"input_tokens_details":{"cached_tokens":0},"output_tokens":0,"output_tokens_details":{},"total_tokens":0}}`
// Aggregation state
var (
responseID string
createdAt int64
currentMsgID string
currentFCID string
textBuf strings.Builder
reasoningBuf strings.Builder
reasoningActive bool
reasoningItemID string
inputTokens int64
outputTokens int64
)
// Per-index tool call aggregation
type toolState struct {
id string
name string
args strings.Builder
}
toolCalls := make(map[int]*toolState)
// Walk through SSE chunks to fill state
for _, ch := range chunks {
root := gjson.ParseBytes(ch)
ev := root.Get("type").String()
switch ev {
case "message_start":
if msg := root.Get("message"); msg.Exists() {
responseID = msg.Get("id").String()
createdAt = time.Now().Unix()
if usage := msg.Get("usage"); usage.Exists() {
inputTokens = usage.Get("input_tokens").Int()
}
}
case "content_block_start":
cb := root.Get("content_block")
if !cb.Exists() {
continue
}
idx := int(root.Get("index").Int())
typ := cb.Get("type").String()
switch typ {
case "text":
currentMsgID = "msg_" + responseID + "_0"
case "tool_use":
currentFCID = cb.Get("id").String()
name := cb.Get("name").String()
if toolCalls[idx] == nil {
toolCalls[idx] = &toolState{id: currentFCID, name: name}
} else {
toolCalls[idx].id = currentFCID
toolCalls[idx].name = name
}
case "thinking":
reasoningActive = true
reasoningItemID = fmt.Sprintf("rs_%s_%d", responseID, idx)
}
case "content_block_delta":
d := root.Get("delta")
if !d.Exists() {
continue
}
dt := d.Get("type").String()
switch dt {
case "text_delta":
if t := d.Get("text"); t.Exists() {
textBuf.WriteString(t.String())
}
case "input_json_delta":
if pj := d.Get("partial_json"); pj.Exists() {
idx := int(root.Get("index").Int())
if toolCalls[idx] == nil {
toolCalls[idx] = &toolState{}
}
toolCalls[idx].args.WriteString(pj.String())
}
case "thinking_delta":
if reasoningActive {
if t := d.Get("thinking"); t.Exists() {
reasoningBuf.WriteString(t.String())
}
}
}
case "content_block_stop":
// Nothing special to finalize for non-stream aggregation
_ = root
case "message_delta":
if usage := root.Get("usage"); usage.Exists() {
outputTokens = usage.Get("output_tokens").Int()
}
}
}
// Populate base fields
out, _ = sjson.Set(out, "id", responseID)
out, _ = sjson.Set(out, "created_at", createdAt)
// Inject request echo fields as top-level (similar to streaming variant)
if requestRawJSON != nil {
req := gjson.ParseBytes(requestRawJSON)
if v := req.Get("instructions"); v.Exists() {
out, _ = sjson.Set(out, "instructions", v.String())
}
if v := req.Get("max_output_tokens"); v.Exists() {
out, _ = sjson.Set(out, "max_output_tokens", v.Int())
}
if v := req.Get("max_tool_calls"); v.Exists() {
out, _ = sjson.Set(out, "max_tool_calls", v.Int())
}
if v := req.Get("model"); v.Exists() {
out, _ = sjson.Set(out, "model", v.String())
}
if v := req.Get("parallel_tool_calls"); v.Exists() {
out, _ = sjson.Set(out, "parallel_tool_calls", v.Bool())
}
if v := req.Get("previous_response_id"); v.Exists() {
out, _ = sjson.Set(out, "previous_response_id", v.String())
}
if v := req.Get("prompt_cache_key"); v.Exists() {
out, _ = sjson.Set(out, "prompt_cache_key", v.String())
}
if v := req.Get("reasoning"); v.Exists() {
out, _ = sjson.Set(out, "reasoning", v.Value())
}
if v := req.Get("safety_identifier"); v.Exists() {
out, _ = sjson.Set(out, "safety_identifier", v.String())
}
if v := req.Get("service_tier"); v.Exists() {
out, _ = sjson.Set(out, "service_tier", v.String())
}
if v := req.Get("store"); v.Exists() {
out, _ = sjson.Set(out, "store", v.Bool())
}
if v := req.Get("temperature"); v.Exists() {
out, _ = sjson.Set(out, "temperature", v.Float())
}
if v := req.Get("text"); v.Exists() {
out, _ = sjson.Set(out, "text", v.Value())
}
if v := req.Get("tool_choice"); v.Exists() {
out, _ = sjson.Set(out, "tool_choice", v.Value())
}
if v := req.Get("tools"); v.Exists() {
out, _ = sjson.Set(out, "tools", v.Value())
}
if v := req.Get("top_logprobs"); v.Exists() {
out, _ = sjson.Set(out, "top_logprobs", v.Int())
}
if v := req.Get("top_p"); v.Exists() {
out, _ = sjson.Set(out, "top_p", v.Float())
}
if v := req.Get("truncation"); v.Exists() {
out, _ = sjson.Set(out, "truncation", v.String())
}
if v := req.Get("user"); v.Exists() {
out, _ = sjson.Set(out, "user", v.Value())
}
if v := req.Get("metadata"); v.Exists() {
out, _ = sjson.Set(out, "metadata", v.Value())
}
}
// Build output array
var outputs []interface{}
if reasoningBuf.Len() > 0 {
outputs = append(outputs, map[string]interface{}{
"id": reasoningItemID,
"type": "reasoning",
"summary": []interface{}{map[string]interface{}{"type": "summary_text", "text": reasoningBuf.String()}},
})
}
if currentMsgID != "" || textBuf.Len() > 0 {
outputs = append(outputs, map[string]interface{}{
"id": currentMsgID,
"type": "message",
"status": "completed",
"content": []interface{}{map[string]interface{}{
"type": "output_text",
"annotations": []interface{}{},
"logprobs": []interface{}{},
"text": textBuf.String(),
}},
"role": "assistant",
})
}
if len(toolCalls) > 0 {
// Preserve index order
idxs := make([]int, 0, len(toolCalls))
for i := range toolCalls {
idxs = append(idxs, i)
}
for i := 0; i < len(idxs); i++ {
for j := i + 1; j < len(idxs); j++ {
if idxs[j] < idxs[i] {
idxs[i], idxs[j] = idxs[j], idxs[i]
}
}
}
for _, i := range idxs {
st := toolCalls[i]
args := st.args.String()
if args == "" {
args = "{}"
}
outputs = append(outputs, map[string]interface{}{
"id": fmt.Sprintf("fc_%s", st.id),
"type": "function_call",
"status": "completed",
"arguments": args,
"call_id": st.id,
"name": st.name,
})
}
}
if len(outputs) > 0 {
out, _ = sjson.Set(out, "output", outputs)
}
// Usage
total := inputTokens + outputTokens
out, _ = sjson.Set(out, "usage.input_tokens", inputTokens)
out, _ = sjson.Set(out, "usage.output_tokens", outputTokens)
out, _ = sjson.Set(out, "usage.total_tokens", total)
if reasoningBuf.Len() > 0 {
// Rough estimate similar to chat completions
reasoningTokens := int64(len(reasoningBuf.String()) / 4)
if reasoningTokens > 0 {
out, _ = sjson.Set(out, "usage.output_tokens_details.reasoning_tokens", reasoningTokens)
}
}
return out
}

19
internal/translator/claude/openai/responses/init.go
View File

@@ -1,19 +0,0 @@
package responses
import (
. "github.com/router-for-me/CLIProxyAPI/v6/internal/constant"
"github.com/router-for-me/CLIProxyAPI/v6/internal/interfaces"
"github.com/router-for-me/CLIProxyAPI/v6/internal/translator/translator"
)
func init() {
translator.Register(
OpenaiResponse,
Claude,
ConvertOpenAIResponsesRequestToClaude,
interfaces.TranslateResponse{
Stream: ConvertClaudeResponseToOpenAIResponses,
NonStream: ConvertClaudeResponseToOpenAIResponsesNonStream,
},
)
}