CLIProxyAPI/internal/translator/gemini-cli/openai/chat-completions/cli_openai_response.go

// Package openai provides response translation functionality for Gemini CLI to OpenAI API compatibility.
// This package handles the conversion of Gemini CLI 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"
	"fmt"
	"time"

	. "github.com/luispater/CLIProxyAPI/internal/translator/gemini/openai/chat-completions"
	"github.com/tidwall/gjson"
	"github.com/tidwall/sjson"
)

// convertCliResponseToOpenAIChatParams holds parameters for response conversion.
type convertCliResponseToOpenAIChatParams struct {
	UnixTimestamp int64
}

// ConvertCliResponseToOpenAI translates a single chunk of a streaming response from the
// Gemini CLI API format to the OpenAI Chat Completions streaming format.
// It processes various Gemini CLI event types and transforms them into OpenAI-compatible JSON responses.
// The function handles text content, tool calls, reasoning content, and usage metadata, outputting
// responses that match the OpenAI API format. It 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 (unused in current implementation)
//   - rawJSON: The raw JSON response from the Gemini CLI 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 ConvertCliResponseToOpenAI(_ context.Context, _ string, rawJSON []byte, param *any) []string {
	if *param == nil {
		*param = &convertCliResponseToOpenAIChatParams{
			UnixTimestamp: 0,
		}
	}

	if bytes.Equal(rawJSON, []byte("[DONE]")) {
		return []string{}
	}

	// Initialize the OpenAI SSE template.
	template := `{"id":"","object":"chat.completion.chunk","created":12345,"model":"model","choices":[{"index":0,"delta":{"role":null,"content":null,"reasoning_content":null,"tool_calls":null},"finish_reason":null,"native_finish_reason":null}]}`

	// Extract and set the model version.
	if modelVersionResult := gjson.GetBytes(rawJSON, "response.modelVersion"); modelVersionResult.Exists() {
		template, _ = sjson.Set(template, "model", modelVersionResult.String())
	}

	// Extract and set the creation timestamp.
	if createTimeResult := gjson.GetBytes(rawJSON, "response.createTime"); createTimeResult.Exists() {
		t, err := time.Parse(time.RFC3339Nano, createTimeResult.String())
		if err == nil {
			(*param).(*convertCliResponseToOpenAIChatParams).UnixTimestamp = t.Unix()
		}
		template, _ = sjson.Set(template, "created", (*param).(*convertCliResponseToOpenAIChatParams).UnixTimestamp)
	} else {
		template, _ = sjson.Set(template, "created", (*param).(*convertCliResponseToOpenAIChatParams).UnixTimestamp)
	}

	// Extract and set the response ID.
	if responseIDResult := gjson.GetBytes(rawJSON, "response.responseId"); responseIDResult.Exists() {
		template, _ = sjson.Set(template, "id", responseIDResult.String())
	}

	// Extract and set the finish reason.
	if finishReasonResult := gjson.GetBytes(rawJSON, "response.candidates.0.finishReason"); finishReasonResult.Exists() {
		template, _ = sjson.Set(template, "choices.0.finish_reason", finishReasonResult.String())
		template, _ = sjson.Set(template, "choices.0.native_finish_reason", finishReasonResult.String())
	}

	// Extract and set usage metadata (token counts).
	if usageResult := gjson.GetBytes(rawJSON, "response.usageMetadata"); usageResult.Exists() {
		if candidatesTokenCountResult := usageResult.Get("candidatesTokenCount"); candidatesTokenCountResult.Exists() {
			template, _ = sjson.Set(template, "usage.completion_tokens", candidatesTokenCountResult.Int())
		}
		if totalTokenCountResult := usageResult.Get("totalTokenCount"); totalTokenCountResult.Exists() {
			template, _ = sjson.Set(template, "usage.total_tokens", totalTokenCountResult.Int())
		}
		promptTokenCount := usageResult.Get("promptTokenCount").Int()
		thoughtsTokenCount := usageResult.Get("thoughtsTokenCount").Int()
		template, _ = sjson.Set(template, "usage.prompt_tokens", promptTokenCount+thoughtsTokenCount)
		if thoughtsTokenCount > 0 {
			template, _ = sjson.Set(template, "usage.completion_tokens_details.reasoning_tokens", thoughtsTokenCount)
		}
	}

	// Process the main content part of the response.
	partsResult := gjson.GetBytes(rawJSON, "response.candidates.0.content.parts")
	if partsResult.IsArray() {
		partResults := partsResult.Array()
		for i := 0; i < len(partResults); i++ {
			partResult := partResults[i]
			partTextResult := partResult.Get("text")
			functionCallResult := partResult.Get("functionCall")

			if partTextResult.Exists() {
				// Handle text content, distinguishing between regular content and reasoning/thoughts.
				if partResult.Get("thought").Bool() {
					template, _ = sjson.Set(template, "choices.0.delta.reasoning_content", partTextResult.String())
				} else {
					template, _ = sjson.Set(template, "choices.0.delta.content", partTextResult.String())
				}
				template, _ = sjson.Set(template, "choices.0.delta.role", "assistant")
			} else if functionCallResult.Exists() {
				// Handle function call content.
				toolCallsResult := gjson.Get(template, "choices.0.delta.tool_calls")
				if !toolCallsResult.Exists() || !toolCallsResult.IsArray() {
					template, _ = sjson.SetRaw(template, "choices.0.delta.tool_calls", `[]`)
				}

				functionCallTemplate := `{"id": "","type": "function","function": {"name": "","arguments": ""}}`
				fcName := functionCallResult.Get("name").String()
				functionCallTemplate, _ = sjson.Set(functionCallTemplate, "id", fmt.Sprintf("%s-%d", fcName, time.Now().UnixNano()))
				functionCallTemplate, _ = sjson.Set(functionCallTemplate, "function.name", fcName)
				if fcArgsResult := functionCallResult.Get("args"); fcArgsResult.Exists() {
					functionCallTemplate, _ = sjson.Set(functionCallTemplate, "function.arguments", fcArgsResult.Raw)
				}
				template, _ = sjson.Set(template, "choices.0.delta.role", "assistant")
				template, _ = sjson.SetRaw(template, "choices.0.delta.tool_calls.-1", functionCallTemplate)
			}
		}
	}

	return []string{template}
}

// ConvertCliResponseToOpenAINonStream converts a non-streaming Gemini CLI response to a non-streaming OpenAI response.
// This function processes the complete Gemini CLI 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
//   - rawJSON: The raw JSON response from the Gemini CLI API
//   - param: A pointer to a parameter object for the conversion
//
// Returns:
//   - string: An OpenAI-compatible JSON response containing all message content and metadata
func ConvertCliResponseToOpenAINonStream(ctx context.Context, modelName string, rawJSON []byte, param *any) string {
	responseResult := gjson.GetBytes(rawJSON, "response")
	if responseResult.Exists() {
		return ConvertGeminiResponseToOpenAINonStream(ctx, modelName, []byte(responseResult.Raw), param)
	}
	return ""
}