mirror of
https://github.com/router-for-me/CLIProxyAPI.git
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Refactor translator packages for OpenAI Chat Completions
- Renamed `openai` packages to `chat_completions` across translator modules. - Introduced `openai_responses_handlers` with handlers for `/v1/models` and OpenAI-compatible chat completions endpoints. - Updated constants and registry identifiers for OpenAI response type. - Simplified request/response conversions and added detailed retry/error handling. - Added `golang.org/x/crypto` for additional cryptographic functions.
This commit is contained in:
Luis Pater
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// Package openai provides response translation functionality for Gemini CLI to OpenAI API compatibility.
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// This package handles the conversion of Gemini CLI API responses into OpenAI Chat Completions-compatible
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// JSON format, transforming streaming events and non-streaming responses into the format
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// expected by OpenAI API clients. It supports both streaming and non-streaming modes,
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// handling text content, tool calls, reasoning content, and usage metadata appropriately.
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package chat_completions
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import (
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"bytes"
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"context"
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"fmt"
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"time"
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. "github.com/luispater/CLIProxyAPI/internal/translator/gemini/openai/chat-completions"
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"github.com/tidwall/gjson"
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"github.com/tidwall/sjson"
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)
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// convertCliResponseToOpenAIChatParams holds parameters for response conversion.
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type convertCliResponseToOpenAIChatParams struct {
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UnixTimestamp int64
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}
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// ConvertCliResponseToOpenAI translates a single chunk of a streaming response from the
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// Gemini CLI API format to the OpenAI Chat Completions streaming format.
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// It processes various Gemini CLI event types and transforms them into OpenAI-compatible JSON responses.
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// The function handles text content, tool calls, reasoning content, and usage metadata, outputting
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// responses that match the OpenAI API format. It supports incremental updates for streaming responses.
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//
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// Parameters:
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// - ctx: The context for the request, used for cancellation and timeout handling
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// - modelName: The name of the model being used for the response (unused in current implementation)
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// - rawJSON: The raw JSON response from the Gemini CLI API
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// - param: A pointer to a parameter object for maintaining state between calls
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//
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// Returns:
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// - []string: A slice of strings, each containing an OpenAI-compatible JSON response
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func ConvertCliResponseToOpenAI(_ context.Context, _ string, rawJSON []byte, param *any) []string {
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if *param == nil {
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*param = &convertCliResponseToOpenAIChatParams{
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UnixTimestamp: 0,
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}
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}
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if bytes.Equal(rawJSON, []byte("[DONE]")) {
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return []string{}
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}
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// Initialize the OpenAI SSE template.
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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}]}`
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// Extract and set the model version.
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if modelVersionResult := gjson.GetBytes(rawJSON, "response.modelVersion"); modelVersionResult.Exists() {
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template, _ = sjson.Set(template, "model", modelVersionResult.String())
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}
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// Extract and set the creation timestamp.
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if createTimeResult := gjson.GetBytes(rawJSON, "response.createTime"); createTimeResult.Exists() {
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t, err := time.Parse(time.RFC3339Nano, createTimeResult.String())
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if err == nil {
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(*param).(*convertCliResponseToOpenAIChatParams).UnixTimestamp = t.Unix()
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}
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template, _ = sjson.Set(template, "created", (*param).(*convertCliResponseToOpenAIChatParams).UnixTimestamp)
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} else {
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template, _ = sjson.Set(template, "created", (*param).(*convertCliResponseToOpenAIChatParams).UnixTimestamp)
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}
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// Extract and set the response ID.
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if responseIDResult := gjson.GetBytes(rawJSON, "response.responseId"); responseIDResult.Exists() {
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template, _ = sjson.Set(template, "id", responseIDResult.String())
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}
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// Extract and set the finish reason.
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if finishReasonResult := gjson.GetBytes(rawJSON, "response.candidates.0.finishReason"); finishReasonResult.Exists() {
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template, _ = sjson.Set(template, "choices.0.finish_reason", finishReasonResult.String())
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template, _ = sjson.Set(template, "choices.0.native_finish_reason", finishReasonResult.String())
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}
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// Extract and set usage metadata (token counts).
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if usageResult := gjson.GetBytes(rawJSON, "response.usageMetadata"); usageResult.Exists() {
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if candidatesTokenCountResult := usageResult.Get("candidatesTokenCount"); candidatesTokenCountResult.Exists() {
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template, _ = sjson.Set(template, "usage.completion_tokens", candidatesTokenCountResult.Int())
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}
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if totalTokenCountResult := usageResult.Get("totalTokenCount"); totalTokenCountResult.Exists() {
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template, _ = sjson.Set(template, "usage.total_tokens", totalTokenCountResult.Int())
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}
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promptTokenCount := usageResult.Get("promptTokenCount").Int()
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thoughtsTokenCount := usageResult.Get("thoughtsTokenCount").Int()
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template, _ = sjson.Set(template, "usage.prompt_tokens", promptTokenCount+thoughtsTokenCount)
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if thoughtsTokenCount > 0 {
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template, _ = sjson.Set(template, "usage.completion_tokens_details.reasoning_tokens", thoughtsTokenCount)
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}
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}
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// Process the main content part of the response.
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partsResult := gjson.GetBytes(rawJSON, "response.candidates.0.content.parts")
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if partsResult.IsArray() {
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partResults := partsResult.Array()
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for i := 0; i < len(partResults); i++ {
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partResult := partResults[i]
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partTextResult := partResult.Get("text")
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functionCallResult := partResult.Get("functionCall")
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if partTextResult.Exists() {
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// Handle text content, distinguishing between regular content and reasoning/thoughts.
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if partResult.Get("thought").Bool() {
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template, _ = sjson.Set(template, "choices.0.delta.reasoning_content", partTextResult.String())
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} else {
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template, _ = sjson.Set(template, "choices.0.delta.content", partTextResult.String())
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}
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template, _ = sjson.Set(template, "choices.0.delta.role", "assistant")
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} else if functionCallResult.Exists() {
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// Handle function call content.
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toolCallsResult := gjson.Get(template, "choices.0.delta.tool_calls")
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if !toolCallsResult.Exists() || !toolCallsResult.IsArray() {
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template, _ = sjson.SetRaw(template, "choices.0.delta.tool_calls", `[]`)
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}
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functionCallTemplate := `{"id": "","type": "function","function": {"name": "","arguments": ""}}`
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fcName := functionCallResult.Get("name").String()
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functionCallTemplate, _ = sjson.Set(functionCallTemplate, "id", fmt.Sprintf("%s-%d", fcName, time.Now().UnixNano()))
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functionCallTemplate, _ = sjson.Set(functionCallTemplate, "function.name", fcName)
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if fcArgsResult := functionCallResult.Get("args"); fcArgsResult.Exists() {
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functionCallTemplate, _ = sjson.Set(functionCallTemplate, "function.arguments", fcArgsResult.Raw)
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}
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template, _ = sjson.Set(template, "choices.0.delta.role", "assistant")
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template, _ = sjson.SetRaw(template, "choices.0.delta.tool_calls.-1", functionCallTemplate)
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}
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}
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}
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return []string{template}
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}
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// ConvertCliResponseToOpenAINonStream converts a non-streaming Gemini CLI response to a non-streaming OpenAI response.
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// This function processes the complete Gemini CLI response and transforms it into a single OpenAI-compatible
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// JSON response. It handles message content, tool calls, reasoning content, and usage metadata, combining all
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// the information into a single response that matches the OpenAI API format.
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//
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// Parameters:
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// - ctx: The context for the request, used for cancellation and timeout handling
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// - modelName: The name of the model being used for the response
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// - rawJSON: The raw JSON response from the Gemini CLI 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: An OpenAI-compatible JSON response containing all message content and metadata
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func ConvertCliResponseToOpenAINonStream(ctx context.Context, modelName string, rawJSON []byte, param *any) string {
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responseResult := gjson.GetBytes(rawJSON, "response")
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if responseResult.Exists() {
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return ConvertGeminiResponseToOpenAINonStream(ctx, modelName, []byte(responseResult.Raw), param)
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}
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return ""
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}
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