mirror of
https://github.com/router-for-me/CLIProxyAPI.git
synced 2026-02-02 20:40:52 +08:00
Add Qwen support
This commit is contained in:
Luis Pater
389
internal/translator/openai/claude/openai_claude_response.go
Normal file
389
internal/translator/openai/claude/openai_claude_response.go
Normal file
@@ -0,0 +1,389 @@
|
||||
// Package claude provides response translation functionality for OpenAI to Anthropic API.
|
||||
// This package handles the conversion of OpenAI Chat Completions API responses into Anthropic API-compatible
|
||||
// JSON format, transforming streaming events and non-streaming responses into the format
|
||||
// expected by Anthropic API clients. It supports both streaming and non-streaming modes,
|
||||
// handling text content, tool calls, and usage metadata appropriately.
|
||||
package claude
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"strings"
|
||||
|
||||
"github.com/tidwall/gjson"
|
||||
)
|
||||
|
||||
// ConvertOpenAIResponseToAnthropicParams holds parameters for response conversion
|
||||
type ConvertOpenAIResponseToAnthropicParams struct {
|
||||
MessageID string
|
||||
Model string
|
||||
CreatedAt int64
|
||||
// Content accumulator for streaming
|
||||
ContentAccumulator strings.Builder
|
||||
// Tool calls accumulator for streaming
|
||||
ToolCallsAccumulator map[int]*ToolCallAccumulator
|
||||
// Track if text content block has been started
|
||||
TextContentBlockStarted bool
|
||||
// Track finish reason for later use
|
||||
FinishReason string
|
||||
// Track if content blocks have been stopped
|
||||
ContentBlocksStopped bool
|
||||
// Track if message_delta has been sent
|
||||
MessageDeltaSent bool
|
||||
}
|
||||
|
||||
// ToolCallAccumulator holds the state for accumulating tool call data
|
||||
type ToolCallAccumulator struct {
|
||||
ID string
|
||||
Name string
|
||||
Arguments strings.Builder
|
||||
}
|
||||
|
||||
// ConvertOpenAIResponseToAnthropic converts OpenAI streaming response format to Anthropic API format.
|
||||
// This function processes OpenAI streaming chunks and transforms them into Anthropic-compatible JSON responses.
|
||||
// It handles text content, tool calls, and usage metadata, outputting responses that match the Anthropic API format.
|
||||
func ConvertOpenAIResponseToAnthropic(rawJSON []byte, param *ConvertOpenAIResponseToAnthropicParams) []string {
|
||||
// Check if this is the [DONE] marker
|
||||
rawStr := strings.TrimSpace(string(rawJSON))
|
||||
if rawStr == "[DONE]" {
|
||||
return convertOpenAIDoneToAnthropic(param)
|
||||
}
|
||||
|
||||
root := gjson.ParseBytes(rawJSON)
|
||||
|
||||
// Check if this is a streaming chunk or non-streaming response
|
||||
objectType := root.Get("object").String()
|
||||
|
||||
if objectType == "chat.completion.chunk" {
|
||||
// Handle streaming response
|
||||
return convertOpenAIStreamingChunkToAnthropic(rawJSON, param)
|
||||
} else if objectType == "chat.completion" {
|
||||
// Handle non-streaming response
|
||||
return convertOpenAINonStreamingToAnthropic(rawJSON)
|
||||
}
|
||||
|
||||
return []string{}
|
||||
}
|
||||
|
||||
// convertOpenAIStreamingChunkToAnthropic converts OpenAI streaming chunk to Anthropic streaming events
|
||||
func convertOpenAIStreamingChunkToAnthropic(rawJSON []byte, param *ConvertOpenAIResponseToAnthropicParams) []string {
|
||||
root := gjson.ParseBytes(rawJSON)
|
||||
var results []string
|
||||
|
||||
// Initialize parameters if needed
|
||||
if param.MessageID == "" {
|
||||
param.MessageID = root.Get("id").String()
|
||||
}
|
||||
if param.Model == "" {
|
||||
param.Model = root.Get("model").String()
|
||||
}
|
||||
if param.CreatedAt == 0 {
|
||||
param.CreatedAt = root.Get("created").Int()
|
||||
}
|
||||
|
||||
// Check if this is the first chunk (has role)
|
||||
if delta := root.Get("choices.0.delta"); delta.Exists() {
|
||||
if role := delta.Get("role"); role.Exists() && role.String() == "assistant" {
|
||||
// Send message_start event
|
||||
messageStart := map[string]interface{}{
|
||||
"type": "message_start",
|
||||
"message": map[string]interface{}{
|
||||
"id": param.MessageID,
|
||||
"type": "message",
|
||||
"role": "assistant",
|
||||
"model": param.Model,
|
||||
"content": []interface{}{},
|
||||
"stop_reason": nil,
|
||||
"stop_sequence": nil,
|
||||
"usage": map[string]interface{}{
|
||||
"input_tokens": 0,
|
||||
"output_tokens": 0,
|
||||
},
|
||||
},
|
||||
}
|
||||
messageStartJSON, _ := json.Marshal(messageStart)
|
||||
results = append(results, "event: message_start\ndata: "+string(messageStartJSON)+"\n\n")
|
||||
|
||||
// Don't send content_block_start for text here - wait for actual content
|
||||
}
|
||||
|
||||
// Handle content delta
|
||||
if content := delta.Get("content"); content.Exists() && content.String() != "" {
|
||||
// Send content_block_start for text if not already sent
|
||||
if !param.TextContentBlockStarted {
|
||||
contentBlockStart := map[string]interface{}{
|
||||
"type": "content_block_start",
|
||||
"index": 0,
|
||||
"content_block": map[string]interface{}{
|
||||
"type": "text",
|
||||
"text": "",
|
||||
},
|
||||
}
|
||||
contentBlockStartJSON, _ := json.Marshal(contentBlockStart)
|
||||
results = append(results, "event: content_block_start\ndata: "+string(contentBlockStartJSON)+"\n\n")
|
||||
param.TextContentBlockStarted = true
|
||||
}
|
||||
|
||||
contentDelta := map[string]interface{}{
|
||||
"type": "content_block_delta",
|
||||
"index": 0,
|
||||
"delta": map[string]interface{}{
|
||||
"type": "text_delta",
|
||||
"text": content.String(),
|
||||
},
|
||||
}
|
||||
contentDeltaJSON, _ := json.Marshal(contentDelta)
|
||||
results = append(results, "event: content_block_delta\ndata: "+string(contentDeltaJSON)+"\n\n")
|
||||
|
||||
// Accumulate content
|
||||
param.ContentAccumulator.WriteString(content.String())
|
||||
}
|
||||
|
||||
// Handle tool calls
|
||||
if toolCalls := delta.Get("tool_calls"); toolCalls.Exists() && toolCalls.IsArray() {
|
||||
if param.ToolCallsAccumulator == nil {
|
||||
param.ToolCallsAccumulator = make(map[int]*ToolCallAccumulator)
|
||||
}
|
||||
|
||||
toolCalls.ForEach(func(_, toolCall gjson.Result) bool {
|
||||
index := int(toolCall.Get("index").Int())
|
||||
|
||||
// Initialize accumulator if needed
|
||||
if _, exists := param.ToolCallsAccumulator[index]; !exists {
|
||||
param.ToolCallsAccumulator[index] = &ToolCallAccumulator{}
|
||||
}
|
||||
|
||||
accumulator := param.ToolCallsAccumulator[index]
|
||||
|
||||
// Handle tool call ID
|
||||
if id := toolCall.Get("id"); id.Exists() {
|
||||
accumulator.ID = id.String()
|
||||
}
|
||||
|
||||
// Handle function name
|
||||
if function := toolCall.Get("function"); function.Exists() {
|
||||
if name := function.Get("name"); name.Exists() {
|
||||
accumulator.Name = name.String()
|
||||
|
||||
// Send content_block_start for tool_use
|
||||
contentBlockStart := map[string]interface{}{
|
||||
"type": "content_block_start",
|
||||
"index": index + 1, // Offset by 1 since text is at index 0
|
||||
"content_block": map[string]interface{}{
|
||||
"type": "tool_use",
|
||||
"id": accumulator.ID,
|
||||
"name": accumulator.Name,
|
||||
"input": map[string]interface{}{},
|
||||
},
|
||||
}
|
||||
contentBlockStartJSON, _ := json.Marshal(contentBlockStart)
|
||||
results = append(results, "event: content_block_start\ndata: "+string(contentBlockStartJSON)+"\n\n")
|
||||
}
|
||||
|
||||
// Handle function arguments
|
||||
if args := function.Get("arguments"); args.Exists() {
|
||||
argsText := args.String()
|
||||
accumulator.Arguments.WriteString(argsText)
|
||||
|
||||
// Send input_json_delta
|
||||
inputDelta := map[string]interface{}{
|
||||
"type": "content_block_delta",
|
||||
"index": index + 1,
|
||||
"delta": map[string]interface{}{
|
||||
"type": "input_json_delta",
|
||||
"partial_json": argsText,
|
||||
},
|
||||
}
|
||||
inputDeltaJSON, _ := json.Marshal(inputDelta)
|
||||
results = append(results, "event: content_block_delta\ndata: "+string(inputDeltaJSON)+"\n\n")
|
||||
}
|
||||
}
|
||||
|
||||
return true
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
// Handle finish_reason (but don't send message_delta/message_stop yet)
|
||||
if finishReason := root.Get("choices.0.finish_reason"); finishReason.Exists() && finishReason.String() != "" {
|
||||
reason := finishReason.String()
|
||||
param.FinishReason = reason
|
||||
|
||||
// Send content_block_stop for text if text content block was started
|
||||
if param.TextContentBlockStarted && !param.ContentBlocksStopped {
|
||||
contentBlockStop := map[string]interface{}{
|
||||
"type": "content_block_stop",
|
||||
"index": 0,
|
||||
}
|
||||
contentBlockStopJSON, _ := json.Marshal(contentBlockStop)
|
||||
results = append(results, "event: content_block_stop\ndata: "+string(contentBlockStopJSON)+"\n\n")
|
||||
}
|
||||
|
||||
// Send content_block_stop for any tool calls
|
||||
if !param.ContentBlocksStopped {
|
||||
for index := range param.ToolCallsAccumulator {
|
||||
contentBlockStop := map[string]interface{}{
|
||||
"type": "content_block_stop",
|
||||
"index": index + 1,
|
||||
}
|
||||
contentBlockStopJSON, _ := json.Marshal(contentBlockStop)
|
||||
results = append(results, "event: content_block_stop\ndata: "+string(contentBlockStopJSON)+"\n\n")
|
||||
}
|
||||
param.ContentBlocksStopped = true
|
||||
}
|
||||
|
||||
// Don't send message_delta here - wait for usage info or [DONE]
|
||||
}
|
||||
|
||||
// Handle usage information separately (this comes in a later chunk)
|
||||
// Only process if usage has actual values (not null)
|
||||
if usage := root.Get("usage"); usage.Exists() && usage.Type != gjson.Null && param.FinishReason != "" {
|
||||
// Check if usage has actual token counts
|
||||
promptTokens := usage.Get("prompt_tokens")
|
||||
completionTokens := usage.Get("completion_tokens")
|
||||
|
||||
if promptTokens.Exists() && completionTokens.Exists() {
|
||||
// Send message_delta with usage
|
||||
messageDelta := map[string]interface{}{
|
||||
"type": "message_delta",
|
||||
"delta": map[string]interface{}{
|
||||
"stop_reason": mapOpenAIFinishReasonToAnthropic(param.FinishReason),
|
||||
"stop_sequence": nil,
|
||||
},
|
||||
"usage": map[string]interface{}{
|
||||
"input_tokens": promptTokens.Int(),
|
||||
"output_tokens": completionTokens.Int(),
|
||||
},
|
||||
}
|
||||
|
||||
messageDeltaJSON, _ := json.Marshal(messageDelta)
|
||||
results = append(results, "event: message_delta\ndata: "+string(messageDeltaJSON)+"\n\n")
|
||||
param.MessageDeltaSent = true
|
||||
}
|
||||
}
|
||||
|
||||
return results
|
||||
}
|
||||
|
||||
// convertOpenAIDoneToAnthropic handles the [DONE] marker and sends final events
|
||||
func convertOpenAIDoneToAnthropic(param *ConvertOpenAIResponseToAnthropicParams) []string {
|
||||
var results []string
|
||||
|
||||
// If we haven't sent message_delta yet (no usage info was received), send it now
|
||||
if param.FinishReason != "" && !param.MessageDeltaSent {
|
||||
messageDelta := map[string]interface{}{
|
||||
"type": "message_delta",
|
||||
"delta": map[string]interface{}{
|
||||
"stop_reason": mapOpenAIFinishReasonToAnthropic(param.FinishReason),
|
||||
"stop_sequence": nil,
|
||||
},
|
||||
}
|
||||
|
||||
messageDeltaJSON, _ := json.Marshal(messageDelta)
|
||||
results = append(results, "event: message_delta\ndata: "+string(messageDeltaJSON)+"\n\n")
|
||||
param.MessageDeltaSent = true
|
||||
}
|
||||
|
||||
// Send message_stop
|
||||
results = append(results, "event: message_stop\ndata: {\"type\":\"message_stop\"}\n\n")
|
||||
|
||||
return results
|
||||
}
|
||||
|
||||
// convertOpenAINonStreamingToAnthropic converts OpenAI non-streaming response to Anthropic format
|
||||
func convertOpenAINonStreamingToAnthropic(rawJSON []byte) []string {
|
||||
root := gjson.ParseBytes(rawJSON)
|
||||
|
||||
// Build Anthropic response
|
||||
response := map[string]interface{}{
|
||||
"id": root.Get("id").String(),
|
||||
"type": "message",
|
||||
"role": "assistant",
|
||||
"model": root.Get("model").String(),
|
||||
"content": []interface{}{},
|
||||
"stop_reason": nil,
|
||||
"stop_sequence": nil,
|
||||
"usage": map[string]interface{}{
|
||||
"input_tokens": 0,
|
||||
"output_tokens": 0,
|
||||
},
|
||||
}
|
||||
|
||||
// Process message content and tool calls
|
||||
var contentBlocks []interface{}
|
||||
|
||||
if choices := root.Get("choices"); choices.Exists() && choices.IsArray() {
|
||||
choice := choices.Array()[0] // Take first choice
|
||||
|
||||
// Handle text content
|
||||
if content := choice.Get("message.content"); content.Exists() && content.String() != "" {
|
||||
textBlock := map[string]interface{}{
|
||||
"type": "text",
|
||||
"text": content.String(),
|
||||
}
|
||||
contentBlocks = append(contentBlocks, textBlock)
|
||||
}
|
||||
|
||||
// Handle tool calls
|
||||
if toolCalls := choice.Get("message.tool_calls"); toolCalls.Exists() && toolCalls.IsArray() {
|
||||
toolCalls.ForEach(func(_, toolCall gjson.Result) bool {
|
||||
toolUseBlock := map[string]interface{}{
|
||||
"type": "tool_use",
|
||||
"id": toolCall.Get("id").String(),
|
||||
"name": toolCall.Get("function.name").String(),
|
||||
}
|
||||
|
||||
// Parse arguments
|
||||
argsStr := toolCall.Get("function.arguments").String()
|
||||
if argsStr != "" {
|
||||
var args interface{}
|
||||
if err := json.Unmarshal([]byte(argsStr), &args); err == nil {
|
||||
toolUseBlock["input"] = args
|
||||
} else {
|
||||
toolUseBlock["input"] = map[string]interface{}{}
|
||||
}
|
||||
} else {
|
||||
toolUseBlock["input"] = map[string]interface{}{}
|
||||
}
|
||||
|
||||
contentBlocks = append(contentBlocks, toolUseBlock)
|
||||
return true
|
||||
})
|
||||
}
|
||||
|
||||
// Set stop reason
|
||||
if finishReason := choice.Get("finish_reason"); finishReason.Exists() {
|
||||
response["stop_reason"] = mapOpenAIFinishReasonToAnthropic(finishReason.String())
|
||||
}
|
||||
}
|
||||
|
||||
response["content"] = contentBlocks
|
||||
|
||||
// Set usage information
|
||||
if usage := root.Get("usage"); usage.Exists() {
|
||||
response["usage"] = map[string]interface{}{
|
||||
"input_tokens": usage.Get("prompt_tokens").Int(),
|
||||
"output_tokens": usage.Get("completion_tokens").Int(),
|
||||
}
|
||||
}
|
||||
|
||||
responseJSON, _ := json.Marshal(response)
|
||||
return []string{string(responseJSON)}
|
||||
}
|
||||
|
||||
// mapOpenAIFinishReasonToAnthropic maps OpenAI finish reasons to Anthropic equivalents
|
||||
func mapOpenAIFinishReasonToAnthropic(openAIReason string) string {
|
||||
switch openAIReason {
|
||||
case "stop":
|
||||
return "end_turn"
|
||||
case "length":
|
||||
return "max_tokens"
|
||||
case "tool_calls":
|
||||
return "tool_use"
|
||||
case "content_filter":
|
||||
return "end_turn" // Anthropic doesn't have direct equivalent
|
||||
case "function_call": // Legacy OpenAI
|
||||
return "tool_use"
|
||||
default:
|
||||
return "end_turn"
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user