mirror of
https://github.com/router-for-me/CLIProxyAPI.git
synced 2026-02-02 20:40:52 +08:00
7815ee338d
Fixed incorrect boundary logic for `message_delta` emission, ensuring proper handling of usage updates and `emitMessageStopIfNeeded` within the response loop.
695 lines
26 KiB
Go
695 lines
26 KiB
Go
// Package claude provides response translation functionality for OpenAI to Anthropic API.
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// This package handles the conversion of OpenAI Chat Completions API responses into Anthropic API-compatible
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// JSON format, transforming streaming events and non-streaming responses into the format
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// expected by Anthropic API clients. It supports both streaming and non-streaming modes,
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// handling text content, tool calls, and usage metadata appropriately.
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package claude
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import (
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"bytes"
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"context"
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"fmt"
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"strings"
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"github.com/router-for-me/CLIProxyAPI/v6/internal/util"
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"github.com/tidwall/gjson"
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"github.com/tidwall/sjson"
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)
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var (
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dataTag = []byte("data:")
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)
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// ConvertOpenAIResponseToAnthropicParams holds parameters for response conversion
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type ConvertOpenAIResponseToAnthropicParams struct {
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MessageID string
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Model string
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CreatedAt int64
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// Content accumulator for streaming
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ContentAccumulator strings.Builder
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// Tool calls accumulator for streaming
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ToolCallsAccumulator map[int]*ToolCallAccumulator
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// Track if text content block has been started
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TextContentBlockStarted bool
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// Track if thinking content block has been started
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ThinkingContentBlockStarted bool
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// Track finish reason for later use
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FinishReason string
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// Track if content blocks have been stopped
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ContentBlocksStopped bool
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// Track if message_delta has been sent
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MessageDeltaSent bool
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// Track if message_start has been sent
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MessageStarted bool
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// Track if message_stop has been sent
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MessageStopSent bool
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// Tool call content block index mapping
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ToolCallBlockIndexes map[int]int
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// Index assigned to text content block
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TextContentBlockIndex int
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// Index assigned to thinking content block
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ThinkingContentBlockIndex int
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// Next available content block index
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NextContentBlockIndex int
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}
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// ToolCallAccumulator holds the state for accumulating tool call data
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type ToolCallAccumulator struct {
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ID string
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Name string
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Arguments strings.Builder
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}
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// ConvertOpenAIResponseToClaude converts OpenAI streaming response format to Anthropic API format.
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// This function processes OpenAI streaming chunks and transforms them into Anthropic-compatible JSON responses.
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// It handles text content, tool calls, and usage metadata, outputting responses that match the Anthropic API format.
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//
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// Parameters:
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// - ctx: The context for the request.
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// - modelName: The name of the model.
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// - rawJSON: The raw JSON response from the OpenAI API.
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// - param: A pointer to a parameter object for the conversion.
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//
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// Returns:
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// - []string: A slice of strings, each containing an Anthropic-compatible JSON response.
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func ConvertOpenAIResponseToClaude(_ context.Context, _ string, originalRequestRawJSON, requestRawJSON, rawJSON []byte, param *any) []string {
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if *param == nil {
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*param = &ConvertOpenAIResponseToAnthropicParams{
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MessageID: "",
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Model: "",
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CreatedAt: 0,
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ContentAccumulator: strings.Builder{},
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ToolCallsAccumulator: nil,
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TextContentBlockStarted: false,
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ThinkingContentBlockStarted: false,
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FinishReason: "",
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ContentBlocksStopped: false,
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MessageDeltaSent: false,
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ToolCallBlockIndexes: make(map[int]int),
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TextContentBlockIndex: -1,
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ThinkingContentBlockIndex: -1,
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NextContentBlockIndex: 0,
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}
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}
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if !bytes.HasPrefix(rawJSON, dataTag) {
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return []string{}
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}
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rawJSON = bytes.TrimSpace(rawJSON[5:])
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// Check if this is the [DONE] marker
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rawStr := strings.TrimSpace(string(rawJSON))
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if rawStr == "[DONE]" {
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return convertOpenAIDoneToAnthropic((*param).(*ConvertOpenAIResponseToAnthropicParams))
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}
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streamResult := gjson.GetBytes(originalRequestRawJSON, "stream")
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if !streamResult.Exists() || (streamResult.Exists() && streamResult.Type == gjson.False) {
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return convertOpenAINonStreamingToAnthropic(rawJSON)
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} else {
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return convertOpenAIStreamingChunkToAnthropic(rawJSON, (*param).(*ConvertOpenAIResponseToAnthropicParams))
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}
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}
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// convertOpenAIStreamingChunkToAnthropic converts OpenAI streaming chunk to Anthropic streaming events
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func convertOpenAIStreamingChunkToAnthropic(rawJSON []byte, param *ConvertOpenAIResponseToAnthropicParams) []string {
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root := gjson.ParseBytes(rawJSON)
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var results []string
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// Initialize parameters if needed
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if param.MessageID == "" {
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param.MessageID = root.Get("id").String()
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}
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if param.Model == "" {
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param.Model = root.Get("model").String()
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}
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if param.CreatedAt == 0 {
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param.CreatedAt = root.Get("created").Int()
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}
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// Emit message_start on the very first chunk, regardless of whether it has a role field.
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// Some providers (like Copilot) may send tool_calls in the first chunk without a role field.
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if delta := root.Get("choices.0.delta"); delta.Exists() {
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if !param.MessageStarted {
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// Send message_start event
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messageStartJSON := `{"type":"message_start","message":{"id":"","type":"message","role":"assistant","model":"","content":[],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0}}}`
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messageStartJSON, _ = sjson.Set(messageStartJSON, "message.id", param.MessageID)
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messageStartJSON, _ = sjson.Set(messageStartJSON, "message.model", param.Model)
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results = append(results, "event: message_start\ndata: "+messageStartJSON+"\n\n")
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param.MessageStarted = true
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// Don't send content_block_start for text here - wait for actual content
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}
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// Handle reasoning content delta
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if reasoning := delta.Get("reasoning_content"); reasoning.Exists() {
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for _, reasoningText := range collectOpenAIReasoningTexts(reasoning) {
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if reasoningText == "" {
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continue
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}
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stopTextContentBlock(param, &results)
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if !param.ThinkingContentBlockStarted {
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if param.ThinkingContentBlockIndex == -1 {
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param.ThinkingContentBlockIndex = param.NextContentBlockIndex
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param.NextContentBlockIndex++
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}
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contentBlockStartJSON := `{"type":"content_block_start","index":0,"content_block":{"type":"thinking","thinking":""}}`
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contentBlockStartJSON, _ = sjson.Set(contentBlockStartJSON, "index", param.ThinkingContentBlockIndex)
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results = append(results, "event: content_block_start\ndata: "+contentBlockStartJSON+"\n\n")
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param.ThinkingContentBlockStarted = true
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}
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thinkingDeltaJSON := `{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":""}}`
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thinkingDeltaJSON, _ = sjson.Set(thinkingDeltaJSON, "index", param.ThinkingContentBlockIndex)
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thinkingDeltaJSON, _ = sjson.Set(thinkingDeltaJSON, "delta.thinking", reasoningText)
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results = append(results, "event: content_block_delta\ndata: "+thinkingDeltaJSON+"\n\n")
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}
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}
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// Handle content delta
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if content := delta.Get("content"); content.Exists() && content.String() != "" {
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// Send content_block_start for text if not already sent
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if !param.TextContentBlockStarted {
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stopThinkingContentBlock(param, &results)
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if param.TextContentBlockIndex == -1 {
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param.TextContentBlockIndex = param.NextContentBlockIndex
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param.NextContentBlockIndex++
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}
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contentBlockStartJSON := `{"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}`
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contentBlockStartJSON, _ = sjson.Set(contentBlockStartJSON, "index", param.TextContentBlockIndex)
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results = append(results, "event: content_block_start\ndata: "+contentBlockStartJSON+"\n\n")
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param.TextContentBlockStarted = true
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}
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contentDeltaJSON := `{"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":""}}`
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contentDeltaJSON, _ = sjson.Set(contentDeltaJSON, "index", param.TextContentBlockIndex)
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contentDeltaJSON, _ = sjson.Set(contentDeltaJSON, "delta.text", content.String())
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results = append(results, "event: content_block_delta\ndata: "+contentDeltaJSON+"\n\n")
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// Accumulate content
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param.ContentAccumulator.WriteString(content.String())
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}
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// Handle tool calls
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if toolCalls := delta.Get("tool_calls"); toolCalls.Exists() && toolCalls.IsArray() {
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if param.ToolCallsAccumulator == nil {
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param.ToolCallsAccumulator = make(map[int]*ToolCallAccumulator)
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}
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toolCalls.ForEach(func(_, toolCall gjson.Result) bool {
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index := int(toolCall.Get("index").Int())
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blockIndex := param.toolContentBlockIndex(index)
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// Initialize accumulator if needed
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if _, exists := param.ToolCallsAccumulator[index]; !exists {
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param.ToolCallsAccumulator[index] = &ToolCallAccumulator{}
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}
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accumulator := param.ToolCallsAccumulator[index]
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// Handle tool call ID
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if id := toolCall.Get("id"); id.Exists() {
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accumulator.ID = id.String()
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}
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// Handle function name
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if function := toolCall.Get("function"); function.Exists() {
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if name := function.Get("name"); name.Exists() {
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accumulator.Name = name.String()
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stopThinkingContentBlock(param, &results)
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stopTextContentBlock(param, &results)
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// Send content_block_start for tool_use
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contentBlockStartJSON := `{"type":"content_block_start","index":0,"content_block":{"type":"tool_use","id":"","name":"","input":{}}}`
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contentBlockStartJSON, _ = sjson.Set(contentBlockStartJSON, "index", blockIndex)
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contentBlockStartJSON, _ = sjson.Set(contentBlockStartJSON, "content_block.id", accumulator.ID)
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contentBlockStartJSON, _ = sjson.Set(contentBlockStartJSON, "content_block.name", accumulator.Name)
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results = append(results, "event: content_block_start\ndata: "+contentBlockStartJSON+"\n\n")
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}
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// Handle function arguments
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if args := function.Get("arguments"); args.Exists() {
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argsText := args.String()
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if argsText != "" {
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accumulator.Arguments.WriteString(argsText)
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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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}
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}
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// Handle finish_reason (but don't send message_delta/message_stop yet)
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if finishReason := root.Get("choices.0.finish_reason"); finishReason.Exists() && finishReason.String() != "" {
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reason := finishReason.String()
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param.FinishReason = reason
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// Send content_block_stop for thinking content if needed
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if param.ThinkingContentBlockStarted {
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contentBlockStopJSON := `{"type":"content_block_stop","index":0}`
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contentBlockStopJSON, _ = sjson.Set(contentBlockStopJSON, "index", param.ThinkingContentBlockIndex)
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results = append(results, "event: content_block_stop\ndata: "+contentBlockStopJSON+"\n\n")
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param.ThinkingContentBlockStarted = false
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param.ThinkingContentBlockIndex = -1
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}
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// Send content_block_stop for text if text content block was started
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stopTextContentBlock(param, &results)
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// Send content_block_stop for any tool calls
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if !param.ContentBlocksStopped {
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for index := range param.ToolCallsAccumulator {
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accumulator := param.ToolCallsAccumulator[index]
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blockIndex := param.toolContentBlockIndex(index)
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// Send complete input_json_delta with all accumulated arguments
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if accumulator.Arguments.Len() > 0 {
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inputDeltaJSON := `{"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":""}}`
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inputDeltaJSON, _ = sjson.Set(inputDeltaJSON, "index", blockIndex)
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inputDeltaJSON, _ = sjson.Set(inputDeltaJSON, "delta.partial_json", util.FixJSON(accumulator.Arguments.String()))
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results = append(results, "event: content_block_delta\ndata: "+inputDeltaJSON+"\n\n")
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}
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contentBlockStopJSON := `{"type":"content_block_stop","index":0}`
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contentBlockStopJSON, _ = sjson.Set(contentBlockStopJSON, "index", blockIndex)
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results = append(results, "event: content_block_stop\ndata: "+contentBlockStopJSON+"\n\n")
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delete(param.ToolCallBlockIndexes, index)
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}
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param.ContentBlocksStopped = true
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}
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// Don't send message_delta here - wait for usage info or [DONE]
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}
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// Handle usage information separately (this comes in a later chunk)
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// Only process if usage has actual values (not null)
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if param.FinishReason != "" {
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usage := root.Get("usage")
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var inputTokens, outputTokens int64
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if usage.Exists() && usage.Type != gjson.Null {
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// Check if usage has actual token counts
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promptTokens := usage.Get("prompt_tokens")
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completionTokens := usage.Get("completion_tokens")
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if promptTokens.Exists() && completionTokens.Exists() {
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inputTokens = promptTokens.Int()
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outputTokens = completionTokens.Int()
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}
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// Send message_delta with usage
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messageDeltaJSON := `{"type":"message_delta","delta":{"stop_reason":"","stop_sequence":null},"usage":{"input_tokens":0,"output_tokens":0}}`
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messageDeltaJSON, _ = sjson.Set(messageDeltaJSON, "delta.stop_reason", mapOpenAIFinishReasonToAnthropic(param.FinishReason))
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messageDeltaJSON, _ = sjson.Set(messageDeltaJSON, "usage.input_tokens", inputTokens)
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messageDeltaJSON, _ = sjson.Set(messageDeltaJSON, "usage.output_tokens", outputTokens)
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results = append(results, "event: message_delta\ndata: "+messageDeltaJSON+"\n\n")
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param.MessageDeltaSent = true
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emitMessageStopIfNeeded(param, &results)
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}
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}
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return results
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}
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// convertOpenAIDoneToAnthropic handles the [DONE] marker and sends final events
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func convertOpenAIDoneToAnthropic(param *ConvertOpenAIResponseToAnthropicParams) []string {
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var results []string
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// Ensure all content blocks are stopped before final events
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if param.ThinkingContentBlockStarted {
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contentBlockStopJSON := `{"type":"content_block_stop","index":0}`
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contentBlockStopJSON, _ = sjson.Set(contentBlockStopJSON, "index", param.ThinkingContentBlockIndex)
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results = append(results, "event: content_block_stop\ndata: "+contentBlockStopJSON+"\n\n")
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param.ThinkingContentBlockStarted = false
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param.ThinkingContentBlockIndex = -1
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}
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stopTextContentBlock(param, &results)
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if !param.ContentBlocksStopped {
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for index := range param.ToolCallsAccumulator {
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accumulator := param.ToolCallsAccumulator[index]
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blockIndex := param.toolContentBlockIndex(index)
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if accumulator.Arguments.Len() > 0 {
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inputDeltaJSON := `{"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":""}}`
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inputDeltaJSON, _ = sjson.Set(inputDeltaJSON, "index", blockIndex)
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inputDeltaJSON, _ = sjson.Set(inputDeltaJSON, "delta.partial_json", util.FixJSON(accumulator.Arguments.String()))
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results = append(results, "event: content_block_delta\ndata: "+inputDeltaJSON+"\n\n")
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}
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contentBlockStopJSON := `{"type":"content_block_stop","index":0}`
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contentBlockStopJSON, _ = sjson.Set(contentBlockStopJSON, "index", blockIndex)
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results = append(results, "event: content_block_stop\ndata: "+contentBlockStopJSON+"\n\n")
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delete(param.ToolCallBlockIndexes, index)
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}
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param.ContentBlocksStopped = true
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}
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// If we haven't sent message_delta yet (no usage info was received), send it now
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if param.FinishReason != "" && !param.MessageDeltaSent {
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messageDeltaJSON := `{"type":"message_delta","delta":{"stop_reason":"","stop_sequence":null}}`
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messageDeltaJSON, _ = sjson.Set(messageDeltaJSON, "delta.stop_reason", mapOpenAIFinishReasonToAnthropic(param.FinishReason))
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results = append(results, "event: message_delta\ndata: "+messageDeltaJSON+"\n\n")
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param.MessageDeltaSent = true
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}
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emitMessageStopIfNeeded(param, &results)
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return results
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}
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// convertOpenAINonStreamingToAnthropic converts OpenAI non-streaming response to Anthropic format
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func convertOpenAINonStreamingToAnthropic(rawJSON []byte) []string {
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root := gjson.ParseBytes(rawJSON)
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out := `{"id":"","type":"message","role":"assistant","model":"","content":[],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0}}`
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out, _ = sjson.Set(out, "id", root.Get("id").String())
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out, _ = sjson.Set(out, "model", root.Get("model").String())
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// Process message content and tool calls
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if choices := root.Get("choices"); choices.Exists() && choices.IsArray() && len(choices.Array()) > 0 {
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choice := choices.Array()[0] // Take first choice
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reasoningNode := choice.Get("message.reasoning_content")
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for _, reasoningText := range collectOpenAIReasoningTexts(reasoningNode) {
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if reasoningText == "" {
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continue
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}
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block := `{"type":"thinking","thinking":""}`
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block, _ = sjson.Set(block, "thinking", reasoningText)
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out, _ = sjson.SetRaw(out, "content.-1", block)
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}
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// Handle text content
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if content := choice.Get("message.content"); content.Exists() && content.String() != "" {
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block := `{"type":"text","text":""}`
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block, _ = sjson.Set(block, "text", content.String())
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out, _ = sjson.SetRaw(out, "content.-1", block)
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}
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// Handle tool calls
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if toolCalls := choice.Get("message.tool_calls"); toolCalls.Exists() && toolCalls.IsArray() {
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toolCalls.ForEach(func(_, toolCall gjson.Result) bool {
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toolUseBlock := `{"type":"tool_use","id":"","name":"","input":{}}`
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toolUseBlock, _ = sjson.Set(toolUseBlock, "id", toolCall.Get("id").String())
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toolUseBlock, _ = sjson.Set(toolUseBlock, "name", toolCall.Get("function.name").String())
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argsStr := util.FixJSON(toolCall.Get("function.arguments").String())
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if argsStr != "" && gjson.Valid(argsStr) {
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argsJSON := gjson.Parse(argsStr)
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if argsJSON.IsObject() {
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toolUseBlock, _ = sjson.SetRaw(toolUseBlock, "input", argsJSON.Raw)
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} else {
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toolUseBlock, _ = sjson.SetRaw(toolUseBlock, "input", "{}")
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}
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} else {
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toolUseBlock, _ = sjson.SetRaw(toolUseBlock, "input", "{}")
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}
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out, _ = sjson.SetRaw(out, "content.-1", toolUseBlock)
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return true
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})
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}
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// Set stop reason
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if finishReason := choice.Get("finish_reason"); finishReason.Exists() {
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out, _ = sjson.Set(out, "stop_reason", mapOpenAIFinishReasonToAnthropic(finishReason.String()))
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}
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}
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// Set usage information
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if usage := root.Get("usage"); usage.Exists() {
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out, _ = sjson.Set(out, "usage.input_tokens", usage.Get("prompt_tokens").Int())
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out, _ = sjson.Set(out, "usage.output_tokens", usage.Get("completion_tokens").Int())
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reasoningTokens := int64(0)
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if v := usage.Get("completion_tokens_details.reasoning_tokens"); v.Exists() {
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reasoningTokens = v.Int()
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}
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out, _ = sjson.Set(out, "usage.reasoning_tokens", reasoningTokens)
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}
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return []string{out}
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}
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// mapOpenAIFinishReasonToAnthropic maps OpenAI finish reasons to Anthropic equivalents
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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"
|
|
}
|
|
}
|
|
|
|
func (p *ConvertOpenAIResponseToAnthropicParams) toolContentBlockIndex(openAIToolIndex int) int {
|
|
if idx, ok := p.ToolCallBlockIndexes[openAIToolIndex]; ok {
|
|
return idx
|
|
}
|
|
idx := p.NextContentBlockIndex
|
|
p.NextContentBlockIndex++
|
|
p.ToolCallBlockIndexes[openAIToolIndex] = idx
|
|
return idx
|
|
}
|
|
|
|
func collectOpenAIReasoningTexts(node gjson.Result) []string {
|
|
var texts []string
|
|
if !node.Exists() {
|
|
return texts
|
|
}
|
|
|
|
if node.IsArray() {
|
|
node.ForEach(func(_, value gjson.Result) bool {
|
|
texts = append(texts, collectOpenAIReasoningTexts(value)...)
|
|
return true
|
|
})
|
|
return texts
|
|
}
|
|
|
|
switch node.Type {
|
|
case gjson.String:
|
|
if text := node.String(); text != "" {
|
|
texts = append(texts, text)
|
|
}
|
|
case gjson.JSON:
|
|
if text := node.Get("text"); text.Exists() {
|
|
if textStr := text.String(); textStr != "" {
|
|
texts = append(texts, textStr)
|
|
}
|
|
} else if raw := node.Raw; raw != "" && !strings.HasPrefix(raw, "{") && !strings.HasPrefix(raw, "[") {
|
|
texts = append(texts, raw)
|
|
}
|
|
}
|
|
|
|
return texts
|
|
}
|
|
|
|
func stopThinkingContentBlock(param *ConvertOpenAIResponseToAnthropicParams, results *[]string) {
|
|
if !param.ThinkingContentBlockStarted {
|
|
return
|
|
}
|
|
contentBlockStopJSON := `{"type":"content_block_stop","index":0}`
|
|
contentBlockStopJSON, _ = sjson.Set(contentBlockStopJSON, "index", param.ThinkingContentBlockIndex)
|
|
*results = append(*results, "event: content_block_stop\ndata: "+contentBlockStopJSON+"\n\n")
|
|
param.ThinkingContentBlockStarted = false
|
|
param.ThinkingContentBlockIndex = -1
|
|
}
|
|
|
|
func emitMessageStopIfNeeded(param *ConvertOpenAIResponseToAnthropicParams, results *[]string) {
|
|
if param.MessageStopSent {
|
|
return
|
|
}
|
|
*results = append(*results, "event: message_stop\ndata: {\"type\":\"message_stop\"}\n\n")
|
|
param.MessageStopSent = true
|
|
}
|
|
|
|
func stopTextContentBlock(param *ConvertOpenAIResponseToAnthropicParams, results *[]string) {
|
|
if !param.TextContentBlockStarted {
|
|
return
|
|
}
|
|
contentBlockStopJSON := `{"type":"content_block_stop","index":0}`
|
|
contentBlockStopJSON, _ = sjson.Set(contentBlockStopJSON, "index", param.TextContentBlockIndex)
|
|
*results = append(*results, "event: content_block_stop\ndata: "+contentBlockStopJSON+"\n\n")
|
|
param.TextContentBlockStarted = false
|
|
param.TextContentBlockIndex = -1
|
|
}
|
|
|
|
// ConvertOpenAIResponseToClaudeNonStream converts a non-streaming OpenAI response to a non-streaming Anthropic response.
|
|
//
|
|
// Parameters:
|
|
// - ctx: The context for the request.
|
|
// - modelName: The name of the model.
|
|
// - rawJSON: The raw JSON response from the OpenAI API.
|
|
// - param: A pointer to a parameter object for the conversion.
|
|
//
|
|
// Returns:
|
|
// - string: An Anthropic-compatible JSON response.
|
|
func ConvertOpenAIResponseToClaudeNonStream(_ context.Context, _ string, originalRequestRawJSON, requestRawJSON, rawJSON []byte, _ *any) string {
|
|
_ = originalRequestRawJSON
|
|
_ = requestRawJSON
|
|
|
|
root := gjson.ParseBytes(rawJSON)
|
|
out := `{"id":"","type":"message","role":"assistant","model":"","content":[],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0}}`
|
|
out, _ = sjson.Set(out, "id", root.Get("id").String())
|
|
out, _ = sjson.Set(out, "model", root.Get("model").String())
|
|
|
|
hasToolCall := false
|
|
stopReasonSet := false
|
|
|
|
if choices := root.Get("choices"); choices.Exists() && choices.IsArray() && len(choices.Array()) > 0 {
|
|
choice := choices.Array()[0]
|
|
|
|
if finishReason := choice.Get("finish_reason"); finishReason.Exists() {
|
|
out, _ = sjson.Set(out, "stop_reason", mapOpenAIFinishReasonToAnthropic(finishReason.String()))
|
|
stopReasonSet = true
|
|
}
|
|
|
|
if message := choice.Get("message"); message.Exists() {
|
|
if contentResult := message.Get("content"); contentResult.Exists() {
|
|
if contentResult.IsArray() {
|
|
var textBuilder strings.Builder
|
|
var thinkingBuilder strings.Builder
|
|
|
|
flushText := func() {
|
|
if textBuilder.Len() == 0 {
|
|
return
|
|
}
|
|
block := `{"type":"text","text":""}`
|
|
block, _ = sjson.Set(block, "text", textBuilder.String())
|
|
out, _ = sjson.SetRaw(out, "content.-1", block)
|
|
textBuilder.Reset()
|
|
}
|
|
|
|
flushThinking := func() {
|
|
if thinkingBuilder.Len() == 0 {
|
|
return
|
|
}
|
|
block := `{"type":"thinking","thinking":""}`
|
|
block, _ = sjson.Set(block, "thinking", thinkingBuilder.String())
|
|
out, _ = sjson.SetRaw(out, "content.-1", block)
|
|
thinkingBuilder.Reset()
|
|
}
|
|
|
|
for _, item := range contentResult.Array() {
|
|
switch item.Get("type").String() {
|
|
case "text":
|
|
flushThinking()
|
|
textBuilder.WriteString(item.Get("text").String())
|
|
case "tool_calls":
|
|
flushThinking()
|
|
flushText()
|
|
toolCalls := item.Get("tool_calls")
|
|
if toolCalls.IsArray() {
|
|
toolCalls.ForEach(func(_, tc gjson.Result) bool {
|
|
hasToolCall = true
|
|
toolUse := `{"type":"tool_use","id":"","name":"","input":{}}`
|
|
toolUse, _ = sjson.Set(toolUse, "id", tc.Get("id").String())
|
|
toolUse, _ = sjson.Set(toolUse, "name", tc.Get("function.name").String())
|
|
|
|
argsStr := util.FixJSON(tc.Get("function.arguments").String())
|
|
if argsStr != "" && gjson.Valid(argsStr) {
|
|
argsJSON := gjson.Parse(argsStr)
|
|
if argsJSON.IsObject() {
|
|
toolUse, _ = sjson.SetRaw(toolUse, "input", argsJSON.Raw)
|
|
} else {
|
|
toolUse, _ = sjson.SetRaw(toolUse, "input", "{}")
|
|
}
|
|
} else {
|
|
toolUse, _ = sjson.SetRaw(toolUse, "input", "{}")
|
|
}
|
|
|
|
out, _ = sjson.SetRaw(out, "content.-1", toolUse)
|
|
return true
|
|
})
|
|
}
|
|
case "reasoning":
|
|
flushText()
|
|
if thinking := item.Get("text"); thinking.Exists() {
|
|
thinkingBuilder.WriteString(thinking.String())
|
|
}
|
|
default:
|
|
flushThinking()
|
|
flushText()
|
|
}
|
|
}
|
|
|
|
flushThinking()
|
|
flushText()
|
|
} else if contentResult.Type == gjson.String {
|
|
textContent := contentResult.String()
|
|
if textContent != "" {
|
|
block := `{"type":"text","text":""}`
|
|
block, _ = sjson.Set(block, "text", textContent)
|
|
out, _ = sjson.SetRaw(out, "content.-1", block)
|
|
}
|
|
}
|
|
}
|
|
|
|
if reasoning := message.Get("reasoning_content"); reasoning.Exists() {
|
|
for _, reasoningText := range collectOpenAIReasoningTexts(reasoning) {
|
|
if reasoningText == "" {
|
|
continue
|
|
}
|
|
block := `{"type":"thinking","thinking":""}`
|
|
block, _ = sjson.Set(block, "thinking", reasoningText)
|
|
out, _ = sjson.SetRaw(out, "content.-1", block)
|
|
}
|
|
}
|
|
|
|
if toolCalls := message.Get("tool_calls"); toolCalls.Exists() && toolCalls.IsArray() {
|
|
toolCalls.ForEach(func(_, toolCall gjson.Result) bool {
|
|
hasToolCall = true
|
|
toolUseBlock := `{"type":"tool_use","id":"","name":"","input":{}}`
|
|
toolUseBlock, _ = sjson.Set(toolUseBlock, "id", toolCall.Get("id").String())
|
|
toolUseBlock, _ = sjson.Set(toolUseBlock, "name", toolCall.Get("function.name").String())
|
|
|
|
argsStr := util.FixJSON(toolCall.Get("function.arguments").String())
|
|
if argsStr != "" && gjson.Valid(argsStr) {
|
|
argsJSON := gjson.Parse(argsStr)
|
|
if argsJSON.IsObject() {
|
|
toolUseBlock, _ = sjson.SetRaw(toolUseBlock, "input", argsJSON.Raw)
|
|
} else {
|
|
toolUseBlock, _ = sjson.SetRaw(toolUseBlock, "input", "{}")
|
|
}
|
|
} else {
|
|
toolUseBlock, _ = sjson.SetRaw(toolUseBlock, "input", "{}")
|
|
}
|
|
|
|
out, _ = sjson.SetRaw(out, "content.-1", toolUseBlock)
|
|
return true
|
|
})
|
|
}
|
|
}
|
|
}
|
|
|
|
if respUsage := root.Get("usage"); respUsage.Exists() {
|
|
out, _ = sjson.Set(out, "usage.input_tokens", respUsage.Get("prompt_tokens").Int())
|
|
out, _ = sjson.Set(out, "usage.output_tokens", respUsage.Get("completion_tokens").Int())
|
|
}
|
|
|
|
if !stopReasonSet {
|
|
if hasToolCall {
|
|
out, _ = sjson.Set(out, "stop_reason", "tool_use")
|
|
} else {
|
|
out, _ = sjson.Set(out, "stop_reason", "end_turn")
|
|
}
|
|
}
|
|
|
|
return out
|
|
}
|
|
|
|
func ClaudeTokenCount(ctx context.Context, count int64) string {
|
|
return fmt.Sprintf(`{"input_tokens":%d}`, count)
|
|
}
|