mirror of
https://github.com/router-for-me/CLIProxyAPI.git
synced 2026-02-18 04:10:51 +08:00
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
@@ -0,0 +1,272 @@
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// Package openai provides utilities to translate OpenAI Chat Completions
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// request JSON into OpenAI Responses API request JSON using gjson/sjson.
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// It supports tools, multimodal text/image inputs, and Structured Outputs.
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// The package handles the conversion of OpenAI API requests into the format
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// expected by the OpenAI Responses API, including proper mapping of messages,
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// tools, and generation parameters.
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package chat_completions
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import (
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"github.com/luispater/CLIProxyAPI/internal/misc"
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"github.com/tidwall/gjson"
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"github.com/tidwall/sjson"
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)
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// ConvertOpenAIRequestToCodex converts an OpenAI Chat Completions request JSON
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// into an OpenAI Responses API request JSON. The transformation follows the
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// examples defined in docs/2.md exactly, including tools, multi-turn dialog,
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// multimodal text/image handling, and Structured Outputs mapping.
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//
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// Parameters:
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// - modelName: The name of the model to use for the request
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// - rawJSON: The raw JSON request data from the OpenAI Chat Completions API
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// - stream: A boolean indicating if the request is for a streaming response
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//
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// Returns:
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// - []byte: The transformed request data in OpenAI Responses API format
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func ConvertOpenAIRequestToCodex(modelName string, rawJSON []byte, stream bool) []byte {
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// Start with empty JSON object
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out := `{}`
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store := false
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// Stream must be set to true
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out, _ = sjson.Set(out, "stream", stream)
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// Codex not support temperature, top_p, top_k, max_output_tokens, so comment them
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// if v := gjson.GetBytes(rawJSON, "temperature"); v.Exists() {
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// out, _ = sjson.Set(out, "temperature", v.Value())
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// }
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// if v := gjson.GetBytes(rawJSON, "top_p"); v.Exists() {
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// out, _ = sjson.Set(out, "top_p", v.Value())
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// }
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// if v := gjson.GetBytes(rawJSON, "top_k"); v.Exists() {
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// out, _ = sjson.Set(out, "top_k", v.Value())
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// }
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// Map token limits
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// if v := gjson.GetBytes(rawJSON, "max_tokens"); v.Exists() {
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// out, _ = sjson.Set(out, "max_output_tokens", v.Value())
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// }
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// if v := gjson.GetBytes(rawJSON, "max_completion_tokens"); v.Exists() {
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// out, _ = sjson.Set(out, "max_output_tokens", v.Value())
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// }
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// Map reasoning effort
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if v := gjson.GetBytes(rawJSON, "reasoning_effort"); v.Exists() {
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out, _ = sjson.Set(out, "reasoning.effort", v.Value())
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} else {
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out, _ = sjson.Set(out, "reasoning.effort", "low")
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}
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out, _ = sjson.Set(out, "parallel_tool_calls", true)
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out, _ = sjson.Set(out, "reasoning.summary", "auto")
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out, _ = sjson.Set(out, "include", []string{"reasoning.encrypted_content"})
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// Model
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out, _ = sjson.Set(out, "model", modelName)
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// Extract system instructions from first system message (string or text object)
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messages := gjson.GetBytes(rawJSON, "messages")
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instructions := misc.CodexInstructions
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out, _ = sjson.SetRaw(out, "instructions", instructions)
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// if messages.IsArray() {
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// arr := messages.Array()
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// for i := 0; i < len(arr); i++ {
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// m := arr[i]
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// if m.Get("role").String() == "system" {
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// c := m.Get("content")
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// if c.Type == gjson.String {
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// out, _ = sjson.Set(out, "instructions", c.String())
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// } else if c.IsObject() && c.Get("type").String() == "text" {
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// out, _ = sjson.Set(out, "instructions", c.Get("text").String())
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// }
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// break
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// }
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// }
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// }
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// Build input from messages, handling all message types including tool calls
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out, _ = sjson.SetRaw(out, "input", `[]`)
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if messages.IsArray() {
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arr := messages.Array()
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for i := 0; i < len(arr); i++ {
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m := arr[i]
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role := m.Get("role").String()
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switch role {
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case "tool":
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// Handle tool response messages as top-level function_call_output objects
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toolCallID := m.Get("tool_call_id").String()
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content := m.Get("content").String()
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// Create function_call_output object
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funcOutput := `{}`
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funcOutput, _ = sjson.Set(funcOutput, "type", "function_call_output")
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funcOutput, _ = sjson.Set(funcOutput, "call_id", toolCallID)
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funcOutput, _ = sjson.Set(funcOutput, "output", content)
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out, _ = sjson.SetRaw(out, "input.-1", funcOutput)
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default:
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// Handle regular messages
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msg := `{}`
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msg, _ = sjson.Set(msg, "type", "message")
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if role == "system" {
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msg, _ = sjson.Set(msg, "role", "user")
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} else {
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msg, _ = sjson.Set(msg, "role", role)
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}
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msg, _ = sjson.SetRaw(msg, "content", `[]`)
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// Handle regular content
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c := m.Get("content")
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if c.Exists() && c.Type == gjson.String && c.String() != "" {
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// Single string content
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partType := "input_text"
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if role == "assistant" {
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partType = "output_text"
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}
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part := `{}`
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part, _ = sjson.Set(part, "type", partType)
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part, _ = sjson.Set(part, "text", c.String())
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msg, _ = sjson.SetRaw(msg, "content.-1", part)
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} else if c.Exists() && c.IsArray() {
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items := c.Array()
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for j := 0; j < len(items); j++ {
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it := items[j]
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t := it.Get("type").String()
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switch t {
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case "text":
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partType := "input_text"
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if role == "assistant" {
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partType = "output_text"
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}
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part := `{}`
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part, _ = sjson.Set(part, "type", partType)
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part, _ = sjson.Set(part, "text", it.Get("text").String())
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msg, _ = sjson.SetRaw(msg, "content.-1", part)
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case "image_url":
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// Map image inputs to input_image for Responses API
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if role == "user" {
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part := `{}`
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part, _ = sjson.Set(part, "type", "input_image")
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if u := it.Get("image_url.url"); u.Exists() {
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part, _ = sjson.Set(part, "image_url", u.String())
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}
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msg, _ = sjson.SetRaw(msg, "content.-1", part)
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}
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case "file":
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// Files are not specified in examples; skip for now
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}
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}
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}
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out, _ = sjson.SetRaw(out, "input.-1", msg)
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// Handle tool calls for assistant messages as separate top-level objects
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if role == "assistant" {
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toolCalls := m.Get("tool_calls")
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if toolCalls.Exists() && toolCalls.IsArray() {
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toolCallsArr := toolCalls.Array()
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for j := 0; j < len(toolCallsArr); j++ {
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tc := toolCallsArr[j]
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if tc.Get("type").String() == "function" {
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// Create function_call as top-level object
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funcCall := `{}`
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funcCall, _ = sjson.Set(funcCall, "type", "function_call")
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funcCall, _ = sjson.Set(funcCall, "call_id", tc.Get("id").String())
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funcCall, _ = sjson.Set(funcCall, "name", tc.Get("function.name").String())
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funcCall, _ = sjson.Set(funcCall, "arguments", tc.Get("function.arguments").String())
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out, _ = sjson.SetRaw(out, "input.-1", funcCall)
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}
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}
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}
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}
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}
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}
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}
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// Map response_format and text settings to Responses API text.format
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rf := gjson.GetBytes(rawJSON, "response_format")
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text := gjson.GetBytes(rawJSON, "text")
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if rf.Exists() {
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// Always create text object when response_format provided
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if !gjson.Get(out, "text").Exists() {
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out, _ = sjson.SetRaw(out, "text", `{}`)
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}
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rft := rf.Get("type").String()
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switch rft {
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case "text":
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out, _ = sjson.Set(out, "text.format.type", "text")
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case "json_schema":
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js := rf.Get("json_schema")
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if js.Exists() {
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out, _ = sjson.Set(out, "text.format.type", "json_schema")
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if v := js.Get("name"); v.Exists() {
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out, _ = sjson.Set(out, "text.format.name", v.Value())
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}
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if v := js.Get("strict"); v.Exists() {
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out, _ = sjson.Set(out, "text.format.strict", v.Value())
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}
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if v := js.Get("schema"); v.Exists() {
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out, _ = sjson.SetRaw(out, "text.format.schema", v.Raw)
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}
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}
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}
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// Map verbosity if provided
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if text.Exists() {
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if v := text.Get("verbosity"); v.Exists() {
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out, _ = sjson.Set(out, "text.verbosity", v.Value())
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}
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}
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// The examples include store: true when response_format is provided
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store = true
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} else if text.Exists() {
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// If only text.verbosity present (no response_format), map verbosity
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if v := text.Get("verbosity"); v.Exists() {
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if !gjson.Get(out, "text").Exists() {
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out, _ = sjson.SetRaw(out, "text", `{}`)
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}
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out, _ = sjson.Set(out, "text.verbosity", v.Value())
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}
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}
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// Map tools (flatten function fields)
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tools := gjson.GetBytes(rawJSON, "tools")
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if tools.IsArray() && len(tools.Array()) > 0 {
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out, _ = sjson.SetRaw(out, "tools", `[]`)
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arr := tools.Array()
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for i := 0; i < len(arr); i++ {
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t := arr[i]
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if t.Get("type").String() == "function" {
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item := `{}`
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item, _ = sjson.Set(item, "type", "function")
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fn := t.Get("function")
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if fn.Exists() {
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if v := fn.Get("name"); v.Exists() {
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item, _ = sjson.Set(item, "name", v.Value())
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}
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if v := fn.Get("description"); v.Exists() {
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item, _ = sjson.Set(item, "description", v.Value())
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}
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if v := fn.Get("parameters"); v.Exists() {
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item, _ = sjson.SetRaw(item, "parameters", v.Raw)
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}
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if v := fn.Get("strict"); v.Exists() {
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item, _ = sjson.Set(item, "strict", v.Value())
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}
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}
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out, _ = sjson.SetRaw(out, "tools.-1", item)
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}
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}
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// The examples include store: true when tools and formatting are used; be conservative
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if rf.Exists() {
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store = true
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}
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}
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out, _ = sjson.Set(out, "store", store)
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return []byte(out)
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}
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@@ -0,0 +1,291 @@
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// Package openai provides response translation functionality for Codex to OpenAI API compatibility.
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// This package handles the conversion of Codex 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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"bufio"
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"bytes"
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"context"
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"time"
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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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// ConvertCliToOpenAIParams holds parameters for response conversion.
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type ConvertCliToOpenAIParams struct {
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ResponseID string
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CreatedAt int64
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Model string
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}
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// ConvertCodexResponseToOpenAI translates a single chunk of a streaming response from the
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// Codex API format to the OpenAI Chat Completions streaming format.
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// It processes various Codex 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
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// - rawJSON: The raw JSON response from the Codex 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 ConvertCodexResponseToOpenAI(_ context.Context, modelName string, rawJSON []byte, param *any) []string {
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if *param == nil {
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*param = &ConvertCliToOpenAIParams{
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Model: modelName,
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CreatedAt: 0,
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ResponseID: "",
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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 = rawJSON[6:]
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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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rootResult := gjson.ParseBytes(rawJSON)
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typeResult := rootResult.Get("type")
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dataType := typeResult.String()
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if dataType == "response.created" {
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(*param).(*ConvertCliToOpenAIParams).ResponseID = rootResult.Get("response.id").String()
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(*param).(*ConvertCliToOpenAIParams).CreatedAt = rootResult.Get("response.created_at").Int()
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(*param).(*ConvertCliToOpenAIParams).Model = rootResult.Get("response.model").String()
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return []string{}
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}
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// Extract and set the model version.
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if modelResult := gjson.GetBytes(rawJSON, "model"); modelResult.Exists() {
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template, _ = sjson.Set(template, "model", modelResult.String())
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}
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template, _ = sjson.Set(template, "created", (*param).(*ConvertCliToOpenAIParams).CreatedAt)
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// Extract and set the response ID.
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template, _ = sjson.Set(template, "id", (*param).(*ConvertCliToOpenAIParams).ResponseID)
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// Extract and set usage metadata (token counts).
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if usageResult := gjson.GetBytes(rawJSON, "response.usage"); usageResult.Exists() {
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if outputTokensResult := usageResult.Get("output_tokens"); outputTokensResult.Exists() {
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template, _ = sjson.Set(template, "usage.completion_tokens", outputTokensResult.Int())
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}
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if totalTokensResult := usageResult.Get("total_tokens"); totalTokensResult.Exists() {
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template, _ = sjson.Set(template, "usage.total_tokens", totalTokensResult.Int())
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}
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if inputTokensResult := usageResult.Get("input_tokens"); inputTokensResult.Exists() {
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template, _ = sjson.Set(template, "usage.prompt_tokens", inputTokensResult.Int())
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}
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if reasoningTokensResult := usageResult.Get("output_tokens_details.reasoning_tokens"); reasoningTokensResult.Exists() {
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template, _ = sjson.Set(template, "usage.completion_tokens_details.reasoning_tokens", reasoningTokensResult.Int())
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}
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}
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if dataType == "response.reasoning_summary_text.delta" {
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if deltaResult := rootResult.Get("delta"); deltaResult.Exists() {
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template, _ = sjson.Set(template, "choices.0.delta.role", "assistant")
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template, _ = sjson.Set(template, "choices.0.delta.reasoning_content", deltaResult.String())
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}
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} else if dataType == "response.reasoning_summary_text.done" {
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template, _ = sjson.Set(template, "choices.0.delta.role", "assistant")
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template, _ = sjson.Set(template, "choices.0.delta.reasoning_content", "\n\n")
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} else if dataType == "response.output_text.delta" {
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if deltaResult := rootResult.Get("delta"); deltaResult.Exists() {
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template, _ = sjson.Set(template, "choices.0.delta.role", "assistant")
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template, _ = sjson.Set(template, "choices.0.delta.content", deltaResult.String())
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}
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} else if dataType == "response.completed" {
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template, _ = sjson.Set(template, "choices.0.finish_reason", "stop")
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template, _ = sjson.Set(template, "choices.0.native_finish_reason", "stop")
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} else if dataType == "response.output_item.done" {
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functionCallItemTemplate := `{"id": "","type": "function","function": {"name": "","arguments": ""}}`
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itemResult := rootResult.Get("item")
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if itemResult.Exists() {
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if itemResult.Get("type").String() != "function_call" {
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return []string{}
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}
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template, _ = sjson.SetRaw(template, "choices.0.delta.tool_calls", `[]`)
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functionCallItemTemplate, _ = sjson.Set(functionCallItemTemplate, "id", itemResult.Get("call_id").String())
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functionCallItemTemplate, _ = sjson.Set(functionCallItemTemplate, "function.name", itemResult.Get("name").String())
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functionCallItemTemplate, _ = sjson.Set(functionCallItemTemplate, "function.arguments", itemResult.Get("arguments").String())
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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", functionCallItemTemplate)
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}
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} else {
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return []string{}
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}
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return []string{template}
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}
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// ConvertCodexResponseToOpenAINonStream converts a non-streaming Codex response to a non-streaming OpenAI response.
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// This function processes the complete Codex 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 Codex 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 ConvertCodexResponseToOpenAINonStream(_ context.Context, _ string, rawJSON []byte, _ *any) string {
|
||||
scanner := bufio.NewScanner(bytes.NewReader(rawJSON))
|
||||
buffer := make([]byte, 10240*1024)
|
||||
scanner.Buffer(buffer, 10240*1024)
|
||||
for scanner.Scan() {
|
||||
line := scanner.Bytes()
|
||||
// log.Debug(string(line))
|
||||
if !bytes.HasPrefix(line, dataTag) {
|
||||
continue
|
||||
}
|
||||
rawJSON = line[6:]
|
||||
|
||||
rootResult := gjson.ParseBytes(rawJSON)
|
||||
// Verify this is a response.completed event
|
||||
if rootResult.Get("type").String() != "response.completed" {
|
||||
continue
|
||||
}
|
||||
unixTimestamp := time.Now().Unix()
|
||||
|
||||
responseResult := rootResult.Get("response")
|
||||
|
||||
template := `{"id":"","object":"chat.completion","created":123456,"model":"model","choices":[{"index":0,"message":{"role":"assistant","content":null,"reasoning_content":null,"tool_calls":null},"finish_reason":null,"native_finish_reason":null}]}`
|
||||
|
||||
// Extract and set the model version.
|
||||
if modelResult := responseResult.Get("model"); modelResult.Exists() {
|
||||
template, _ = sjson.Set(template, "model", modelResult.String())
|
||||
}
|
||||
|
||||
// Extract and set the creation timestamp.
|
||||
if createdAtResult := responseResult.Get("created_at"); createdAtResult.Exists() {
|
||||
template, _ = sjson.Set(template, "created", createdAtResult.Int())
|
||||
} else {
|
||||
template, _ = sjson.Set(template, "created", unixTimestamp)
|
||||
}
|
||||
|
||||
// Extract and set the response ID.
|
||||
if idResult := responseResult.Get("id"); idResult.Exists() {
|
||||
template, _ = sjson.Set(template, "id", idResult.String())
|
||||
}
|
||||
|
||||
// Extract and set usage metadata (token counts).
|
||||
if usageResult := responseResult.Get("usage"); usageResult.Exists() {
|
||||
if outputTokensResult := usageResult.Get("output_tokens"); outputTokensResult.Exists() {
|
||||
template, _ = sjson.Set(template, "usage.completion_tokens", outputTokensResult.Int())
|
||||
}
|
||||
if totalTokensResult := usageResult.Get("total_tokens"); totalTokensResult.Exists() {
|
||||
template, _ = sjson.Set(template, "usage.total_tokens", totalTokensResult.Int())
|
||||
}
|
||||
if inputTokensResult := usageResult.Get("input_tokens"); inputTokensResult.Exists() {
|
||||
template, _ = sjson.Set(template, "usage.prompt_tokens", inputTokensResult.Int())
|
||||
}
|
||||
if reasoningTokensResult := usageResult.Get("output_tokens_details.reasoning_tokens"); reasoningTokensResult.Exists() {
|
||||
template, _ = sjson.Set(template, "usage.completion_tokens_details.reasoning_tokens", reasoningTokensResult.Int())
|
||||
}
|
||||
}
|
||||
|
||||
// Process the output array for content and function calls
|
||||
outputResult := responseResult.Get("output")
|
||||
if outputResult.IsArray() {
|
||||
outputArray := outputResult.Array()
|
||||
var contentText string
|
||||
var reasoningText string
|
||||
var toolCalls []string
|
||||
|
||||
for _, outputItem := range outputArray {
|
||||
outputType := outputItem.Get("type").String()
|
||||
|
||||
switch outputType {
|
||||
case "reasoning":
|
||||
// Extract reasoning content from summary
|
||||
if summaryResult := outputItem.Get("summary"); summaryResult.IsArray() {
|
||||
summaryArray := summaryResult.Array()
|
||||
for _, summaryItem := range summaryArray {
|
||||
if summaryItem.Get("type").String() == "summary_text" {
|
||||
reasoningText = summaryItem.Get("text").String()
|
||||
break
|
||||
}
|
||||
}
|
||||
}
|
||||
case "message":
|
||||
// Extract message content
|
||||
if contentResult := outputItem.Get("content"); contentResult.IsArray() {
|
||||
contentArray := contentResult.Array()
|
||||
for _, contentItem := range contentArray {
|
||||
if contentItem.Get("type").String() == "output_text" {
|
||||
contentText = contentItem.Get("text").String()
|
||||
break
|
||||
}
|
||||
}
|
||||
}
|
||||
case "function_call":
|
||||
// Handle function call content
|
||||
functionCallTemplate := `{"id": "","type": "function","function": {"name": "","arguments": ""}}`
|
||||
|
||||
if callIdResult := outputItem.Get("call_id"); callIdResult.Exists() {
|
||||
functionCallTemplate, _ = sjson.Set(functionCallTemplate, "id", callIdResult.String())
|
||||
}
|
||||
|
||||
if nameResult := outputItem.Get("name"); nameResult.Exists() {
|
||||
functionCallTemplate, _ = sjson.Set(functionCallTemplate, "function.name", nameResult.String())
|
||||
}
|
||||
|
||||
if argsResult := outputItem.Get("arguments"); argsResult.Exists() {
|
||||
functionCallTemplate, _ = sjson.Set(functionCallTemplate, "function.arguments", argsResult.String())
|
||||
}
|
||||
|
||||
toolCalls = append(toolCalls, functionCallTemplate)
|
||||
}
|
||||
}
|
||||
|
||||
// Set content and reasoning content if found
|
||||
if contentText != "" {
|
||||
template, _ = sjson.Set(template, "choices.0.message.content", contentText)
|
||||
template, _ = sjson.Set(template, "choices.0.message.role", "assistant")
|
||||
}
|
||||
|
||||
if reasoningText != "" {
|
||||
template, _ = sjson.Set(template, "choices.0.message.reasoning_content", reasoningText)
|
||||
template, _ = sjson.Set(template, "choices.0.message.role", "assistant")
|
||||
}
|
||||
|
||||
// Add tool calls if any
|
||||
if len(toolCalls) > 0 {
|
||||
template, _ = sjson.SetRaw(template, "choices.0.message.tool_calls", `[]`)
|
||||
for _, toolCall := range toolCalls {
|
||||
template, _ = sjson.SetRaw(template, "choices.0.message.tool_calls.-1", toolCall)
|
||||
}
|
||||
template, _ = sjson.Set(template, "choices.0.message.role", "assistant")
|
||||
}
|
||||
}
|
||||
|
||||
// Extract and set the finish reason based on status
|
||||
if statusResult := responseResult.Get("status"); statusResult.Exists() {
|
||||
status := statusResult.String()
|
||||
if status == "completed" {
|
||||
template, _ = sjson.Set(template, "choices.0.finish_reason", "stop")
|
||||
template, _ = sjson.Set(template, "choices.0.native_finish_reason", "stop")
|
||||
}
|
||||
}
|
||||
|
||||
return template
|
||||
}
|
||||
return ""
|
||||
}
|
||||
19
internal/translator/codex/openai/chat-completions/init.go
Normal file
19
internal/translator/codex/openai/chat-completions/init.go
Normal file
@@ -0,0 +1,19 @@
|
||||
package chat_completions
|
||||
|
||||
import (
|
||||
. "github.com/luispater/CLIProxyAPI/internal/constant"
|
||||
"github.com/luispater/CLIProxyAPI/internal/interfaces"
|
||||
"github.com/luispater/CLIProxyAPI/internal/translator/translator"
|
||||
)
|
||||
|
||||
func init() {
|
||||
translator.Register(
|
||||
OPENAI,
|
||||
CODEX,
|
||||
ConvertOpenAIRequestToCodex,
|
||||
interfaces.TranslateResponse{
|
||||
Stream: ConvertCodexResponseToOpenAI,
|
||||
NonStream: ConvertCodexResponseToOpenAINonStream,
|
||||
},
|
||||
)
|
||||
}
|
||||
Reference in New Issue
Block a user