Add Qwen support

README.md

@@ -8,19 +8,23 @@ It now also supports OpenAI Codex (GPT models) and Claude Code via OAuth.
 
 so you can use local or multi‑account CLI access with OpenAI‑compatible clients and SDKs.
 
+Now, We added the first Chinese provider: [Qwen Code](https://github.com/QwenLM/qwen-code).
+
 ## Features
 
 - OpenAI/Gemini/Claude compatible API endpoints for CLI models
 - OpenAI Codex support (GPT models) via OAuth login
 - Claude Code support via OAuth login
+- Qwen Code support via OAuth login
 - Streaming and non-streaming responses
 - Function calling/tools support
 - Multimodal input support (text and images)
-- Multiple accounts with round‑robin load balancing (Gemini, OpenAI, and Claude)
-- Simple CLI authentication flows (Gemini, OpenAI, and Claude)
+- Multiple accounts with round‑robin load balancing (Gemini, OpenAI, Claude and Qwen)
+- Simple CLI authentication flows (Gemini, OpenAI, Claude and Qwen)
 - Generative Language API Key support
 - Gemini CLI multi‑account load balancing
 - Claude Code multi‑account load balancing
+- Qwen Code multi‑account load balancing
 
 ## Installation
 
@@ -30,6 +34,7 @@ so you can use local or multi‑account CLI access with OpenAI‑compatible clie
 - A Google account with access to Gemini CLI models (optional)
 - An OpenAI account for Codex/GPT access (optional)
 - An Anthropic account for Claude Code access (optional)
+- A Qwen Chat account for Qwen Code access (optional)
 
 ### Building from Source
 
@@ -60,6 +65,8 @@ You can authenticate for Gemini, OpenAI, and/or Claude. All can coexist in the s
   ```
   The local OAuth callback uses port `8085`.
 
+  Options: add `--no-browser` to print the login URL instead of opening a browser. The local OAuth callback uses port `1455`.
+
 - OpenAI (Codex/GPT via OAuth):
   ```bash
   ./cli-proxy-api --codex-login
@@ -72,6 +79,13 @@ You can authenticate for Gemini, OpenAI, and/or Claude. All can coexist in the s
   ```
   Options: add `--no-browser` to print the login URL instead of opening a browser. The local OAuth callback uses port `54545`.
 
+- Qwen (Qwen Chat via OAuth):
+  ```bash
+  ./cli-proxy-api --qwen-login
+  ```
+  Options: add `--no-browser` to print the login URL instead of opening a browser. Use the Qwen Chat's OAuth device flow.
+
+
 ### Starting the Server
 
 Once authenticated, start the server:
@@ -112,7 +126,7 @@ Request body example:
 ```
 
 Notes:
-- Use a `gemini-*` model for Gemini (e.g., `gemini-2.5-pro`), a `gpt-*` model for OpenAI (e.g., `gpt-5`), or a `claude-*` model for Claude (e.g., `claude-3-5-sonnet-20241022`). The proxy will route to the correct provider automatically.
+- Use a `gemini-*` model for Gemini (e.g., `gemini-2.5-pro`), a `gpt-*` model for OpenAI (e.g., `gpt-5`), a `claude-*` model for Claude (e.g., `claude-3-5-sonnet-20241022`), or a `qwen-*` model for Qwen (e.g., `qwen3-coder-plus`). The proxy will route to the correct provider automatically.
 
 #### Claude Messages (SSE-compatible)
 
@@ -210,6 +224,8 @@ console.log(await claudeResponse.json());
 - claude-sonnet-4-20250514
 - claude-3-7-sonnet-20250219
 - claude-3-5-haiku-20241022
+- qwen3-coder-plus
+- qwen3-coder-flash
 - Gemini models auto‑switch to preview variants when needed
 
 ## Configuration
@@ -338,6 +354,14 @@ export ANTHROPIC_MODEL=claude-sonnet-4-20250514
 export ANTHROPIC_SMALL_FAST_MODEL=claude-3-5-haiku-20241022
 ```
 
+Using Claude models:
+```bash
+export ANTHROPIC_BASE_URL=http://127.0.0.1:8317
+export ANTHROPIC_AUTH_TOKEN=sk-dummy
+export ANTHROPIC_MODEL=qwen3-coder-plus
+export ANTHROPIC_SMALL_FAST_MODEL=qwen3-coder-flash
+```
+
 ## Run with Docker
 
 Run the following command to login (Gemini OAuth on port 8085): 

README_CN.md

@@ -8,19 +8,23 @@
 
 可与本地或多账户方式配合，使用任何 OpenAI 兼容的客户端与 SDK。
 
+现在，我们添加了第一个中国提供商：[Qwen Code](https://github.com/QwenLM/qwen-code)。
+
 ## 功能特性
 
 - 为 CLI 模型提供 OpenAI/Gemini/Claude 兼容的 API 端点
 - 新增 OpenAI Codex（GPT 系列）支持（OAuth 登录）
 - 新增 Claude Code 支持（OAuth 登录）
+- 新增 Qwen Code 支持（OAuth 登录）
 - 支持流式与非流式响应
 - 函数调用/工具支持
 - 多模态输入（文本、图片）
-- 多账户支持与轮询负载均衡（Gemini、OpenAI 与 Claude）
-- 简单的 CLI 身份验证流程（Gemini、OpenAI 与 Claude）
+- 多账户支持与轮询负载均衡（Gemini、OpenAI、Claude 与 Qwen）
+- 简单的 CLI 身份验证流程（Gemini、OpenAI、Claude 与 Qwen）
 - 支持 Gemini AIStudio API 密钥
 - 支持 Gemini CLI 多账户轮询
 - 支持 Claude Code 多账户轮询
+- 支持 Qwen Code 多账户轮询
 
 ## 安装
 
@@ -30,6 +34,7 @@
 - 有权访问 Gemini CLI 模型的 Google 账户（可选）
 - 有权访问 OpenAI Codex/GPT 的 OpenAI 账户（可选）
 - 有权访问 Claude Code 的 Anthropic 账户（可选）
+- 有权访问 Qwen Code 的 Qwen Chat 账户（可选）
 
 ### 从源码构建
 
@@ -72,6 +77,12 @@
   ```
   选项：加上 `--no-browser` 可打印登录地址而不自动打开浏览器。本地 OAuth 回调端口为 `54545`。
 
+- Qwen（Qwen Chat，OAuth）：
+  ```bash
+  ./cli-proxy-api --qwen-login
+  ```
+  选项：加上 `--no-browser` 可打印登录地址而不自动打开浏览器。使用 Qwen Chat 的 OAuth 设备登录流程。
+
 ### 启动服务器
 
 身份验证完成后，启动服务器：
@@ -112,7 +123,7 @@ POST http://localhost:8317/v1/chat/completions
 ```
 
 说明：
-- 使用 `gemini-*` 模型（如 `gemini-2.5-pro`）走 Gemini，使用 `gpt-*` 模型（如 `gpt-5`）走 OpenAI，使用 `claude-*` 模型（如 `claude-3-5-sonnet-20241022`）走 Claude，服务会自动路由到对应提供商。
+- 使用 `gemini-*` 模型（如 `gemini-2.5-pro`）走 Gemini，使用 `gpt-*` 模型（如 `gpt-5`）走 OpenAI，使用 `claude-*` 模型（如 `claude-3-5-sonnet-20241022`）走 Claude，使用 `qwen-*` 模型（如 `qwen3-coder-plus`）走 Qwen，服务会自动路由到对应提供商。
 
 #### Claude 消息（SSE 兼容）
 
@@ -210,6 +221,8 @@ console.log(await claudeResponse.json());
 - claude-sonnet-4-20250514
 - claude-3-7-sonnet-20250219
 - claude-3-5-haiku-20241022
+- qwen3-coder-plus
+- qwen3-coder-flash
 - Gemini 模型在需要时自动切换到对应的 preview 版本
 
 ## 配置
@@ -338,6 +351,14 @@ export ANTHROPIC_MODEL=claude-sonnet-4-20250514
 export ANTHROPIC_SMALL_FAST_MODEL=claude-3-5-haiku-20241022
 ```
 
+使用 Qwen 模型：
+```bash
+export ANTHROPIC_BASE_URL=http://127.0.0.1:8317
+export ANTHROPIC_AUTH_TOKEN=sk-dummy
+export ANTHROPIC_MODEL=qwen3-coder-plus
+export ANTHROPIC_SMALL_FAST_MODEL=qwen3-coder-flash
+```
+
 
 ## 使用 Docker 运行
 

cmd/server/main.go

@@ -60,6 +60,7 @@ func main() {
 	var login bool
 	var codexLogin bool
 	var claudeLogin bool
+	var qwenLogin bool
 	var noBrowser bool
 	var projectID string
 	var configPath string
@@ -68,6 +69,7 @@ func main() {
 	flag.BoolVar(&login, "login", false, "Login Google Account")
 	flag.BoolVar(&codexLogin, "codex-login", false, "Login to Codex using OAuth")
 	flag.BoolVar(&claudeLogin, "claude-login", false, "Login to Claude using OAuth")
+	flag.BoolVar(&qwenLogin, "qwen-login", false, "Login to Qwen using OAuth")
 	flag.BoolVar(&noBrowser, "no-browser", false, "Don't open browser automatically for OAuth")
 	flag.StringVar(&projectID, "project_id", "", "Project ID (Gemini only, not required)")
 	flag.StringVar(&configPath, "config", "", "Configure File Path")
@@ -132,6 +134,8 @@ func main() {
 	} else if claudeLogin {
 		// Handle Claude login
 		cmd.DoClaudeLogin(cfg, options)
+	} else if qwenLogin {
+		cmd.DoQwenLogin(cfg, options)
 	} else {
 		// Start the main proxy service
 		cmd.StartService(cfg, configFilePath)

internal/api/handlers/claude/code_handlers.go

@@ -11,6 +11,7 @@ import (
 	"context"
 	"fmt"
 	"net/http"
+	"strings"
 	"time"
 
 	"github.com/gin-gonic/gin"
@@ -18,6 +19,7 @@ import (
 	"github.com/luispater/CLIProxyAPI/internal/client"
 	translatorClaudeCodeToCodex "github.com/luispater/CLIProxyAPI/internal/translator/codex/claude/code"
 	translatorClaudeCodeToGeminiCli "github.com/luispater/CLIProxyAPI/internal/translator/gemini-cli/claude/code"
+	translatorClaudeCodeToQwen "github.com/luispater/CLIProxyAPI/internal/translator/openai/claude"
 	"github.com/luispater/CLIProxyAPI/internal/util"
 	log "github.com/sirupsen/logrus"
 	"github.com/tidwall/gjson"
@@ -62,7 +64,7 @@ func (h *ClaudeCodeAPIHandlers) ClaudeMessages(c *gin.Context) {
 
 	// Check if the client requested a streaming response.
 	streamResult := gjson.GetBytes(rawJSON, "stream")
-	if streamResult.Type == gjson.False {
+	if !streamResult.Exists() || streamResult.Type == gjson.False {
 		return
 	}
 
@@ -72,6 +74,8 @@ func (h *ClaudeCodeAPIHandlers) ClaudeMessages(c *gin.Context) {
 		h.handleCodexStreamingResponse(c, rawJSON)
 	} else if provider == "claude" {
 		h.handleClaudeStreamingResponse(c, rawJSON)
+	} else if provider == "qwen" {
+		h.handleQwenStreamingResponse(c, rawJSON)
 	} else {
 		h.handleGeminiStreamingResponse(c, rawJSON)
 	}
@@ -518,3 +522,149 @@ outLoop:
 		}
 	}
 }
+
+// handleQwenStreamingResponse streams Claude-compatible responses backed by OpenAI.
+// It converts the Claude request into Qwen responses format, establishes SSE,
+// and translates streaming chunks back into Claude Code events.
+func (h *ClaudeCodeAPIHandlers) handleQwenStreamingResponse(c *gin.Context, rawJSON []byte) {
+	// Set up Server-Sent Events (SSE) headers for streaming response
+	// These headers are essential for maintaining a persistent connection
+	// and enabling real-time streaming of chat completions
+	c.Header("Content-Type", "text/event-stream")
+	c.Header("Cache-Control", "no-cache")
+	c.Header("Connection", "keep-alive")
+	c.Header("Access-Control-Allow-Origin", "*")
+
+	// Get the http.Flusher interface to manually flush the response.
+	// This is crucial for streaming as it allows immediate sending of data chunks
+	flusher, ok := c.Writer.(http.Flusher)
+	if !ok {
+		c.JSON(http.StatusInternalServerError, handlers.ErrorResponse{
+			Error: handlers.ErrorDetail{
+				Message: "Streaming not supported",
+				Type:    "server_error",
+			},
+		})
+		return
+	}
+
+	// Parse and prepare the Claude request, extracting model name, system instructions,
+	// conversation contents, and available tools from the raw JSON
+	newRequestJSON := translatorClaudeCodeToQwen.ConvertAnthropicRequestToOpenAI(rawJSON)
+	modelName := gjson.GetBytes(rawJSON, "model").String()
+
+	newRequestJSON, _ = sjson.Set(newRequestJSON, "model", modelName)
+	// log.Debugf(string(rawJSON))
+	// log.Debugf(newRequestJSON)
+	// return
+	// Create a cancellable context for the backend client request
+	// This allows proper cleanup and cancellation of ongoing requests
+	cliCtx, cliCancel := h.GetContextWithCancel(c, context.Background())
+
+	var cliClient client.Client
+	defer func() {
+		// Ensure the client's mutex is unlocked on function exit.
+		// This prevents deadlocks and ensures proper resource cleanup
+		if cliClient != nil {
+			cliClient.GetRequestMutex().Unlock()
+		}
+	}()
+
+	// Main client rotation loop with quota management
+	// This loop implements a sophisticated load balancing and failover mechanism
+outLoop:
+	for {
+		var errorResponse *client.ErrorMessage
+		cliClient, errorResponse = h.GetClient(modelName)
+		if errorResponse != nil {
+			c.Status(errorResponse.StatusCode)
+			_, _ = fmt.Fprint(c.Writer, errorResponse.Error.Error())
+			flusher.Flush()
+			cliCancel()
+			return
+		}
+
+		log.Debugf("Request use qwen account: %s", cliClient.GetEmail())
+
+		// Initiate streaming communication with the backend client
+		// This returns two channels: one for response chunks and one for errors
+		respChan, errChan := cliClient.SendRawMessageStream(cliCtx, []byte(newRequestJSON), "")
+
+		// Track response state for proper Claude format conversion
+
+		params := &translatorClaudeCodeToQwen.ConvertOpenAIResponseToAnthropicParams{
+			MessageID:            "",
+			Model:                "",
+			CreatedAt:            0,
+			ContentAccumulator:   strings.Builder{},
+			ToolCallsAccumulator: nil,
+		}
+
+		// Main streaming loop - handles multiple concurrent events using Go channels
+		// This select statement manages four different types of events simultaneously
+		for {
+			select {
+			// Case 1: Handle client disconnection
+			// Detects when the HTTP client has disconnected and cleans up resources
+			case <-c.Request.Context().Done():
+				if c.Request.Context().Err().Error() == "context canceled" {
+					log.Debugf("CodexClient disconnected: %v", c.Request.Context().Err())
+					cliCancel() // Cancel the backend request to prevent resource leaks
+					return
+				}
+
+			// Case 2: Process incoming response chunks from the backend
+			// This handles the actual streaming data from the AI model
+			case chunk, okStream := <-respChan:
+				if !okStream {
+					flusher.Flush()
+					cliCancel()
+					return
+				}
+
+				h.AddAPIResponseData(c, chunk)
+				h.AddAPIResponseData(c, []byte("\n"))
+
+				// Convert the backend response to Claude-compatible format
+				// This translation layer ensures API compatibility
+				if bytes.HasPrefix(chunk, []byte("data: ")) {
+					jsonData := chunk[6:]
+					outputs := translatorClaudeCodeToQwen.ConvertOpenAIResponseToAnthropic(jsonData, params)
+					if len(outputs) > 0 {
+						for i := 0; i < len(outputs); i++ {
+							_, _ = c.Writer.Write([]byte("data: "))
+							_, _ = c.Writer.Write([]byte(outputs[i]))
+						}
+					}
+					flusher.Flush() // Immediately send the chunk to the client
+					// hasFirstResponse = true
+				} else {
+					// log.Debugf("chunk: %s", string(chunk))
+				}
+			// Case 3: Handle errors from the backend
+			// This manages various error conditions and implements retry logic
+			case errInfo, okError := <-errChan:
+				if okError {
+					// log.Debugf("Code: %d, Error: %v", errInfo.StatusCode, errInfo.Error)
+					// Special handling for quota exceeded errors
+					// If configured, attempt to switch to a different project/client
+					if errInfo.StatusCode == 429 && h.Cfg.QuotaExceeded.SwitchProject {
+						log.Debugf("quota exceeded, switch client")
+						continue outLoop // Restart the client selection process
+					} else {
+						// Forward other errors directly to the client
+						c.Status(errInfo.StatusCode)
+						_, _ = fmt.Fprint(c.Writer, errInfo.Error.Error())
+						flusher.Flush()
+						cliCancel(errInfo.Error)
+					}
+					return
+				}
+
+			// Case 4: Send periodic keep-alive signals
+			// Prevents connection timeouts during long-running requests
+			case <-time.After(3000 * time.Millisecond):
+			}
+		}
+	}
+}

internal/api/handlers/gemini/cli/cli_handlers.go

@@ -18,6 +18,7 @@ import (
 	"github.com/luispater/CLIProxyAPI/internal/client"
 	translatorGeminiToClaude "github.com/luispater/CLIProxyAPI/internal/translator/claude/gemini"
 	translatorGeminiToCodex "github.com/luispater/CLIProxyAPI/internal/translator/codex/gemini"
+	translatorGeminiToQwen "github.com/luispater/CLIProxyAPI/internal/translator/openai/gemini"
 	"github.com/luispater/CLIProxyAPI/internal/util"
 	log "github.com/sirupsen/logrus"
 	"github.com/tidwall/gjson"
@@ -64,6 +65,8 @@ func (h *GeminiCLIAPIHandlers) CLIHandler(c *gin.Context) {
 			h.handleCodexInternalGenerateContent(c, rawJSON)
 		} else if provider == "claude" {
 			h.handleClaudeInternalGenerateContent(c, rawJSON)
+		} else if provider == "qwen" {
+			h.handleQwenInternalGenerateContent(c, rawJSON)
 		}
 	} else if requestRawURI == "/v1internal:streamGenerateContent" {
 		if provider == "gemini" || provider == "unknow" {
@@ -72,6 +75,8 @@ func (h *GeminiCLIAPIHandlers) CLIHandler(c *gin.Context) {
 			h.handleCodexInternalStreamGenerateContent(c, rawJSON)
 		} else if provider == "claude" {
 			h.handleClaudeInternalStreamGenerateContent(c, rawJSON)
+		} else if provider == "qwen" {
+			h.handleQwenInternalStreamGenerateContent(c, rawJSON)
 		}
 	} else {
 		reqBody := bytes.NewBuffer(rawJSON)
@@ -733,3 +738,180 @@ outLoop:
 		}
 	}
 }
+
+func (h *GeminiCLIAPIHandlers) handleQwenInternalStreamGenerateContent(c *gin.Context, rawJSON []byte) {
+	c.Header("Content-Type", "text/event-stream")
+	c.Header("Cache-Control", "no-cache")
+	c.Header("Connection", "keep-alive")
+	c.Header("Access-Control-Allow-Origin", "*")
+
+	// Get the http.Flusher interface to manually flush the response.
+	flusher, ok := c.Writer.(http.Flusher)
+	if !ok {
+		c.JSON(http.StatusInternalServerError, handlers.ErrorResponse{
+			Error: handlers.ErrorDetail{
+				Message: "Streaming not supported",
+				Type:    "server_error",
+			},
+		})
+		return
+	}
+
+	modelResult := gjson.GetBytes(rawJSON, "model")
+	rawJSON = []byte(gjson.GetBytes(rawJSON, "request").Raw)
+	rawJSON, _ = sjson.SetBytes(rawJSON, "model", modelResult.String())
+	rawJSON, _ = sjson.SetRawBytes(rawJSON, "system_instruction", []byte(gjson.GetBytes(rawJSON, "systemInstruction").Raw))
+	rawJSON, _ = sjson.DeleteBytes(rawJSON, "systemInstruction")
+
+	// Prepare the request for the backend client.
+	newRequestJSON := translatorGeminiToQwen.ConvertGeminiRequestToOpenAI(rawJSON)
+	newRequestJSON, _ = sjson.Set(newRequestJSON, "stream", true)
+
+	// log.Debugf("Request: %s", string(rawJSON))
+	// return
+
+	modelName := gjson.GetBytes(rawJSON, "model")
+
+	cliCtx, cliCancel := h.GetContextWithCancel(c, context.Background())
+
+	var cliClient client.Client
+	defer func() {
+		// Ensure the client's mutex is unlocked on function exit.
+		if cliClient != nil {
+			cliClient.GetRequestMutex().Unlock()
+		}
+	}()
+
+outLoop:
+	for {
+		var errorResponse *client.ErrorMessage
+		cliClient, errorResponse = h.GetClient(modelName.String())
+		if errorResponse != nil {
+			c.Status(errorResponse.StatusCode)
+			_, _ = fmt.Fprint(c.Writer, errorResponse.Error.Error())
+			flusher.Flush()
+			cliCancel()
+			return
+		}
+
+		log.Debugf("Request qwen use account: %s", cliClient.(*client.QwenClient).GetEmail())
+
+		// Send the message and receive response chunks and errors via channels.
+		respChan, errChan := cliClient.SendRawMessageStream(cliCtx, []byte(newRequestJSON), "")
+
+		params := &translatorGeminiToQwen.ConvertOpenAIResponseToGeminiParams{
+			ToolCallsAccumulator: nil,
+			ContentAccumulator:   strings.Builder{},
+			IsFirstChunk:         false,
+		}
+		for {
+			select {
+			// Handle client disconnection.
+			case <-c.Request.Context().Done():
+				if c.Request.Context().Err().Error() == "context canceled" {
+					log.Debugf("CodexClient disconnected: %v", c.Request.Context().Err())
+					cliCancel() // Cancel the backend request.
+					return
+				}
+			// Process incoming response chunks.
+			case chunk, okStream := <-respChan:
+				if !okStream {
+					cliCancel()
+					return
+				}
+
+				h.AddAPIResponseData(c, chunk)
+				h.AddAPIResponseData(c, []byte("\n\n"))
+
+				if bytes.HasPrefix(chunk, []byte("data: ")) {
+					jsonData := chunk[6:]
+					// log.Debugf(string(jsonData))
+					outputs := translatorGeminiToQwen.ConvertOpenAIResponseToGemini(jsonData, params)
+					if len(outputs) > 0 {
+						for i := 0; i < len(outputs); i++ {
+							outputs[i], _ = sjson.SetRaw("{}", "response", outputs[i])
+							_, _ = c.Writer.Write([]byte("data: "))
+							_, _ = c.Writer.Write([]byte(outputs[i]))
+							_, _ = c.Writer.Write([]byte("\n\n"))
+						}
+					}
+					// log.Debugf(string(jsonData))
+				}
+				flusher.Flush()
+			// Handle errors from the backend.
+			case err, okError := <-errChan:
+				if okError {
+					if err.StatusCode == 429 && h.Cfg.QuotaExceeded.SwitchProject {
+						continue outLoop
+					} else {
+						c.Status(err.StatusCode)
+						_, _ = fmt.Fprint(c.Writer, err.Error.Error())
+						flusher.Flush()
+						cliCancel(err.Error)
+					}
+					return
+				}
+			// Send a keep-alive signal to the client.
+			case <-time.After(500 * time.Millisecond):
+			}
+		}
+	}
+}
+
+func (h *GeminiCLIAPIHandlers) handleQwenInternalGenerateContent(c *gin.Context, rawJSON []byte) {
+	c.Header("Content-Type", "application/json")
+
+	modelResult := gjson.GetBytes(rawJSON, "model")
+	rawJSON = []byte(gjson.GetBytes(rawJSON, "request").Raw)
+	rawJSON, _ = sjson.SetBytes(rawJSON, "model", modelResult.String())
+	rawJSON, _ = sjson.SetRawBytes(rawJSON, "system_instruction", []byte(gjson.GetBytes(rawJSON, "systemInstruction").Raw))
+	rawJSON, _ = sjson.DeleteBytes(rawJSON, "systemInstruction")
+
+	// Prepare the request for the backend client.
+	newRequestJSON := translatorGeminiToQwen.ConvertGeminiRequestToOpenAI(rawJSON)
+	// log.Debugf("Request: %s", newRequestJSON)
+
+	modelName := gjson.GetBytes(rawJSON, "model")
+
+	cliCtx, cliCancel := h.GetContextWithCancel(c, context.Background())
+
+	var cliClient client.Client
+	defer func() {
+		if cliClient != nil {
+			cliClient.GetRequestMutex().Unlock()
+		}
+	}()
+
+	for {
+		var errorResponse *client.ErrorMessage
+		cliClient, errorResponse = h.GetClient(modelName.String())
+		if errorResponse != nil {
+			c.Status(errorResponse.StatusCode)
+			_, _ = fmt.Fprint(c.Writer, errorResponse.Error.Error())
+			cliCancel()
+			return
+		}
+
+		log.Debugf("Request use qwen account: %s", cliClient.GetEmail())
+
+		resp, err := cliClient.SendRawMessage(cliCtx, []byte(newRequestJSON), "")
+		if err != nil {
+			if err.StatusCode == 429 && h.Cfg.QuotaExceeded.SwitchProject {
+				continue
+			} else {
+				c.Status(err.StatusCode)
+				_, _ = c.Writer.Write([]byte(err.Error.Error()))
+				cliCancel(err.Error)
+			}
+			break
+		} else {
+			h.AddAPIResponseData(c, resp)
+			h.AddAPIResponseData(c, []byte("\n"))
+
+			newResp := translatorGeminiToQwen.ConvertOpenAINonStreamResponseToGemini(resp)
+			_, _ = c.Writer.Write([]byte(newResp))
+			cliCancel(resp)
+			break
+		}
+	}
+}

internal/api/handlers/gemini/gemini_handlers.go

@@ -19,6 +19,7 @@ import (
 	translatorGeminiToClaude "github.com/luispater/CLIProxyAPI/internal/translator/claude/gemini"
 	translatorGeminiToCodex "github.com/luispater/CLIProxyAPI/internal/translator/codex/gemini"
 	translatorGeminiToGeminiCli "github.com/luispater/CLIProxyAPI/internal/translator/gemini-cli/gemini/cli"
+	translatorGeminiToQwen "github.com/luispater/CLIProxyAPI/internal/translator/openai/gemini"
 	"github.com/luispater/CLIProxyAPI/internal/util"
 	log "github.com/sirupsen/logrus"
 	"github.com/tidwall/gjson"
@@ -241,6 +242,13 @@ func (h *GeminiAPIHandlers) GeminiHandler(c *gin.Context) {
 		case "streamGenerateContent":
 			h.handleClaudeStreamGenerateContent(c, rawJSON)
 		}
+	} else if provider == "qwen" {
+		switch method {
+		case "generateContent":
+			h.handleQwenGenerateContent(c, rawJSON)
+		case "streamGenerateContent":
+			h.handleQwenStreamGenerateContent(c, rawJSON)
+		}
 	}
 }
 
@@ -961,3 +969,163 @@ outLoop:
 		}
 	}
 }
+
+func (h *GeminiAPIHandlers) handleQwenStreamGenerateContent(c *gin.Context, rawJSON []byte) {
+	c.Header("Content-Type", "text/event-stream")
+	c.Header("Cache-Control", "no-cache")
+	c.Header("Connection", "keep-alive")
+	c.Header("Access-Control-Allow-Origin", "*")
+
+	// Get the http.Flusher interface to manually flush the response.
+	flusher, ok := c.Writer.(http.Flusher)
+	if !ok {
+		c.JSON(http.StatusInternalServerError, handlers.ErrorResponse{
+			Error: handlers.ErrorDetail{
+				Message: "Streaming not supported",
+				Type:    "server_error",
+			},
+		})
+		return
+	}
+
+	// Prepare the request for the backend client.
+	newRequestJSON := translatorGeminiToQwen.ConvertGeminiRequestToOpenAI(rawJSON)
+	newRequestJSON, _ = sjson.Set(newRequestJSON, "stream", true)
+	// log.Debugf("Request: %s", newRequestJSON)
+
+	modelName := gjson.GetBytes(rawJSON, "model")
+
+	cliCtx, cliCancel := h.GetContextWithCancel(c, context.Background())
+
+	var cliClient client.Client
+	defer func() {
+		// Ensure the client's mutex is unlocked on function exit.
+		if cliClient != nil {
+			cliClient.GetRequestMutex().Unlock()
+		}
+	}()
+
+outLoop:
+	for {
+		var errorResponse *client.ErrorMessage
+		cliClient, errorResponse = h.GetClient(modelName.String())
+		if errorResponse != nil {
+			c.Status(errorResponse.StatusCode)
+			_, _ = fmt.Fprint(c.Writer, errorResponse.Error.Error())
+			flusher.Flush()
+			cliCancel()
+			return
+		}
+
+		log.Debugf("Request use qwen account: %s", cliClient.GetEmail())
+
+		// Send the message and receive response chunks and errors via channels.
+		respChan, errChan := cliClient.SendRawMessageStream(cliCtx, []byte(newRequestJSON), "")
+
+		params := &translatorGeminiToQwen.ConvertOpenAIResponseToGeminiParams{
+			ToolCallsAccumulator: nil,
+			ContentAccumulator:   strings.Builder{},
+			IsFirstChunk:         false,
+		}
+		for {
+			select {
+			// Handle client disconnection.
+			case <-c.Request.Context().Done():
+				if c.Request.Context().Err().Error() == "context canceled" {
+					log.Debugf("CodexClient disconnected: %v", c.Request.Context().Err())
+					cliCancel() // Cancel the backend request.
+					return
+				}
+			// Process incoming response chunks.
+			case chunk, okStream := <-respChan:
+				if !okStream {
+					cliCancel()
+					return
+				}
+
+				h.AddAPIResponseData(c, chunk)
+				h.AddAPIResponseData(c, []byte("\n\n"))
+				if bytes.HasPrefix(chunk, []byte("data: ")) {
+					jsonData := chunk[6:]
+					outputs := translatorGeminiToQwen.ConvertOpenAIResponseToGemini(jsonData, params)
+					if len(outputs) > 0 {
+						for i := 0; i < len(outputs); i++ {
+							_, _ = c.Writer.Write([]byte("data: "))
+							_, _ = c.Writer.Write([]byte(outputs[i]))
+							_, _ = c.Writer.Write([]byte("\n\n"))
+						}
+					}
+					// log.Debugf(string(jsonData))
+				}
+				flusher.Flush()
+			// Handle errors from the backend.
+			case err, okError := <-errChan:
+				if okError {
+					if err.StatusCode == 429 && h.Cfg.QuotaExceeded.SwitchProject {
+						continue outLoop
+					} else {
+						c.Status(err.StatusCode)
+						_, _ = fmt.Fprint(c.Writer, err.Error.Error())
+						flusher.Flush()
+						cliCancel(err.Error)
+					}
+					return
+				}
+			// Send a keep-alive signal to the client.
+			case <-time.After(500 * time.Millisecond):
+			}
+		}
+	}
+}
+
+func (h *GeminiAPIHandlers) handleQwenGenerateContent(c *gin.Context, rawJSON []byte) {
+	c.Header("Content-Type", "application/json")
+
+	// Prepare the request for the backend client.
+	newRequestJSON := translatorGeminiToQwen.ConvertGeminiRequestToOpenAI(rawJSON)
+	// log.Debugf("Request: %s", newRequestJSON)
+
+	modelName := gjson.GetBytes(rawJSON, "model")
+
+	cliCtx, cliCancel := h.GetContextWithCancel(c, context.Background())
+
+	var cliClient client.Client
+	defer func() {
+		if cliClient != nil {
+			cliClient.GetRequestMutex().Unlock()
+		}
+	}()
+
+	for {
+		var errorResponse *client.ErrorMessage
+		cliClient, errorResponse = h.GetClient(modelName.String())
+		if errorResponse != nil {
+			c.Status(errorResponse.StatusCode)
+			_, _ = fmt.Fprint(c.Writer, errorResponse.Error.Error())
+			cliCancel()
+			return
+		}
+
+		log.Debugf("Request use qwen account: %s", cliClient.GetEmail())
+
+		resp, err := cliClient.SendRawMessage(cliCtx, []byte(newRequestJSON), "")
+		if err != nil {
+			if err.StatusCode == 429 && h.Cfg.QuotaExceeded.SwitchProject {
+				continue
+			} else {
+				c.Status(err.StatusCode)
+				_, _ = c.Writer.Write([]byte(err.Error.Error()))
+				cliCancel(err.Error)
+			}
+			break
+		} else {
+			h.AddAPIResponseData(c, resp)
+			h.AddAPIResponseData(c, []byte("\n"))
+
+			newResp := translatorGeminiToQwen.ConvertOpenAINonStreamResponseToGemini(resp)
+			_, _ = c.Writer.Write([]byte(newResp))
+			cliCancel(resp)
+			break
+		}
+	}
+}

internal/api/handlers/handlers.go

@@ -118,6 +118,12 @@ func (h *APIHandlers) GetClient(modelName string, isGenerateContent ...bool) (cl
 				clients = append(clients, cli)
 			}
 		}
+	} else if provider == "qwen" {
+		for i := 0; i < len(h.CliClients); i++ {
+			if cli, ok := h.CliClients[i].(*client.QwenClient); ok {
+				clients = append(clients, cli)
+			}
+		}
 	}
 
 	if _, hasKey := h.LastUsedClientIndex[provider]; !hasKey {
@@ -150,6 +156,8 @@ func (h *APIHandlers) GetClient(modelName string, isGenerateContent ...bool) (cl
 				log.Debugf("Codex Model %s is quota exceeded for account %s", modelName, cliClient.GetEmail())
 			} else if provider == "claude" {
 				log.Debugf("Claude Model %s is quota exceeded for account %s", modelName, cliClient.GetEmail())
+			} else if provider == "qwen" {
+				log.Debugf("Qwen Model %s is quota exceeded for account %s", modelName, cliClient.GetEmail())
 			}
 			cliClient = nil
 			continue

internal/api/handlers/openai/openai_handlers.go

@@ -171,6 +171,13 @@ func (h *OpenAIAPIHandlers) ChatCompletions(c *gin.Context) {
 		} else {
 			h.handleClaudeNonStreamingResponse(c, rawJSON)
 		}
+	} else if provider == "qwen" {
+		// qwen3-coder-plus / qwen3-coder-flash
+		if streamResult.Type == gjson.True {
+			h.handleQwenStreamingResponse(c, rawJSON)
+		} else {
+			h.handleQwenNonStreamingResponse(c, rawJSON)
+		}
 	}
 }
 
@@ -761,3 +768,155 @@ outLoop:
 		}
 	}
 }
+
+// handleQwenNonStreamingResponse handles non-streaming chat completion responses
+// for Qwen models. It selects a client from the pool, sends the request, and
+// aggregates the response before sending it back to the client in OpenAI format.
+//
+// Parameters:
+//   - c: The Gin context containing the HTTP request and response
+//   - rawJSON: The raw JSON bytes of the OpenAI-compatible request
+func (h *OpenAIAPIHandlers) handleQwenNonStreamingResponse(c *gin.Context, rawJSON []byte) {
+	c.Header("Content-Type", "application/json")
+
+	modelResult := gjson.GetBytes(rawJSON, "model")
+	modelName := modelResult.String()
+	cliCtx, cliCancel := h.GetContextWithCancel(c, context.Background())
+
+	var cliClient client.Client
+	defer func() {
+		if cliClient != nil {
+			cliClient.GetRequestMutex().Unlock()
+		}
+	}()
+
+	for {
+		var errorResponse *client.ErrorMessage
+		cliClient, errorResponse = h.GetClient(modelName)
+		if errorResponse != nil {
+			c.Status(errorResponse.StatusCode)
+			_, _ = fmt.Fprint(c.Writer, errorResponse.Error.Error())
+			cliCancel()
+			return
+		}
+
+		log.Debugf("Request qwen use account: %s", cliClient.(*client.QwenClient).GetEmail())
+
+		resp, err := cliClient.SendRawMessage(cliCtx, rawJSON, modelName)
+		if err != nil {
+			if err.StatusCode == 429 && h.Cfg.QuotaExceeded.SwitchProject {
+				continue
+			} else {
+				c.Status(err.StatusCode)
+				_, _ = c.Writer.Write([]byte(err.Error.Error()))
+				cliCancel(err.Error)
+			}
+			break
+		} else {
+			_, _ = c.Writer.Write(resp)
+			cliCancel(resp)
+			break
+		}
+	}
+}
+
+// handleQwenStreamingResponse handles streaming responses for Qwen models.
+// It establishes a streaming connection with the backend service and forwards
+// the response chunks to the client in real-time using Server-Sent Events.
+//
+// Parameters:
+//   - c: The Gin context containing the HTTP request and response
+//   - rawJSON: The raw JSON bytes of the OpenAI-compatible request
+func (h *OpenAIAPIHandlers) handleQwenStreamingResponse(c *gin.Context, rawJSON []byte) {
+	c.Header("Content-Type", "text/event-stream")
+	c.Header("Cache-Control", "no-cache")
+	c.Header("Connection", "keep-alive")
+	c.Header("Access-Control-Allow-Origin", "*")
+
+	// Get the http.Flusher interface to manually flush the response.
+	flusher, ok := c.Writer.(http.Flusher)
+	if !ok {
+		c.JSON(http.StatusInternalServerError, handlers.ErrorResponse{
+			Error: handlers.ErrorDetail{
+				Message: "Streaming not supported",
+				Type:    "server_error",
+			},
+		})
+		return
+	}
+
+	// Prepare the request for the backend client.
+	modelResult := gjson.GetBytes(rawJSON, "model")
+	modelName := modelResult.String()
+
+	cliCtx, cliCancel := h.GetContextWithCancel(c, context.Background())
+
+	var cliClient client.Client
+	defer func() {
+		// Ensure the client's mutex is unlocked on function exit.
+		if cliClient != nil {
+			cliClient.GetRequestMutex().Unlock()
+		}
+	}()
+
+outLoop:
+	for {
+		var errorResponse *client.ErrorMessage
+		cliClient, errorResponse = h.GetClient(modelName)
+		if errorResponse != nil {
+			c.Status(errorResponse.StatusCode)
+			_, _ = fmt.Fprint(c.Writer, errorResponse.Error.Error())
+			flusher.Flush()
+			cliCancel()
+			return
+		}
+
+		log.Debugf("Request qwen use account: %s", cliClient.(*client.QwenClient).GetEmail())
+
+		// Send the message and receive response chunks and errors via channels.
+		respChan, errChan := cliClient.SendRawMessageStream(cliCtx, rawJSON, modelName)
+
+		for {
+			select {
+			// Handle client disconnection.
+			case <-c.Request.Context().Done():
+				if c.Request.Context().Err().Error() == "context canceled" {
+					log.Debugf("GeminiClient disconnected: %v", c.Request.Context().Err())
+					cliCancel() // Cancel the backend request.
+					return
+				}
+			// Process incoming response chunks.
+			case chunk, okStream := <-respChan:
+				if !okStream {
+					flusher.Flush()
+					cliCancel()
+					return
+				}
+
+				h.AddAPIResponseData(c, chunk)
+				h.AddAPIResponseData(c, []byte("\n"))
+
+				// Convert the chunk to OpenAI format and send it to the client.
+				_, _ = c.Writer.Write(chunk)
+				_, _ = c.Writer.Write([]byte("\n"))
+
+				flusher.Flush()
+			// Handle errors from the backend.
+			case err, okError := <-errChan:
+				if okError {
+					if err.StatusCode == 429 && h.Cfg.QuotaExceeded.SwitchProject {
+						continue outLoop
+					} else {
+						c.Status(err.StatusCode)
+						_, _ = fmt.Fprint(c.Writer, err.Error.Error())
+						flusher.Flush()
+						cliCancel(err.Error)
+					}
+					return
+				}
+			// Send a keep-alive signal to the client.
+			case <-time.After(500 * time.Millisecond):
+			}
+		}
+	}
+}

internal/api/server.go

@@ -66,7 +66,7 @@ func NewServer(cfg *config.Config, cliClients []client.Client) *Server {
 	requestLogger := logging.NewFileRequestLogger(cfg.RequestLog, "logs")
 	engine.Use(middleware.RequestLoggingMiddleware(requestLogger))
 
-	// engine.Use(corsMiddleware())
+	engine.Use(corsMiddleware())
 
 	// Create server instance
 	s := &Server{

internal/auth/qwen/qwen_auth.go

@@ -0,0 +1,337 @@
+package qwen
+
+import (
+	"context"
+	"crypto/rand"
+	"crypto/sha256"
+	"encoding/base64"
+	"encoding/json"
+	"fmt"
+	"io"
+	"net/http"
+	"net/url"
+	"strings"
+	"time"
+
+	"github.com/luispater/CLIProxyAPI/internal/config"
+	"github.com/luispater/CLIProxyAPI/internal/util"
+	log "github.com/sirupsen/logrus"
+)
+
+const (
+	// OAuth Configuration
+	QwenOAuthDeviceCodeEndpoint = "https://chat.qwen.ai/api/v1/oauth2/device/code"
+	QwenOAuthTokenEndpoint      = "https://chat.qwen.ai/api/v1/oauth2/token"
+	QwenOAuthClientID           = "f0304373b74a44d2b584a3fb70ca9e56"
+	QwenOAuthScope              = "openid profile email model.completion"
+	QwenOAuthGrantType          = "urn:ietf:params:oauth:grant-type:device_code"
+)
+
+// QwenTokenData represents OAuth credentials
+type QwenTokenData struct {
+	AccessToken  string `json:"access_token"`
+	RefreshToken string `json:"refresh_token,omitempty"`
+	TokenType    string `json:"token_type"`
+	ResourceURL  string `json:"resource_url,omitempty"`
+	Expire       string `json:"expiry_date,omitempty"`
+}
+
+// DeviceFlow represents device flow response
+type DeviceFlow struct {
+	DeviceCode              string `json:"device_code"`
+	UserCode                string `json:"user_code"`
+	VerificationURI         string `json:"verification_uri"`
+	VerificationURIComplete string `json:"verification_uri_complete"`
+	ExpiresIn               int    `json:"expires_in"`
+	Interval                int    `json:"interval"`
+	CodeVerifier            string `json:"code_verifier"`
+}
+
+// QwenTokenResponse represents token response
+type QwenTokenResponse struct {
+	AccessToken  string `json:"access_token"`
+	RefreshToken string `json:"refresh_token,omitempty"`
+	TokenType    string `json:"token_type"`
+	ResourceURL  string `json:"resource_url,omitempty"`
+	ExpiresIn    int    `json:"expires_in"`
+}
+
+// QwenAuth manages authentication and credentials
+type QwenAuth struct {
+	httpClient *http.Client
+}
+
+// NewQwenAuth creates a new QwenAuth
+func NewQwenAuth(cfg *config.Config) *QwenAuth {
+	return &QwenAuth{
+		httpClient: util.SetProxy(cfg, &http.Client{}),
+	}
+}
+
+// generateCodeVerifier generates a random code verifier for PKCE
+func (qa *QwenAuth) generateCodeVerifier() (string, error) {
+	bytes := make([]byte, 32)
+	if _, err := rand.Read(bytes); err != nil {
+		return "", err
+	}
+	return base64.RawURLEncoding.EncodeToString(bytes), nil
+}
+
+// generateCodeChallenge generates a code challenge from a code verifier using SHA-256
+func (qa *QwenAuth) generateCodeChallenge(codeVerifier string) string {
+	hash := sha256.Sum256([]byte(codeVerifier))
+	return base64.RawURLEncoding.EncodeToString(hash[:])
+}
+
+// generatePKCEPair generates PKCE code verifier and challenge pair
+func (qa *QwenAuth) generatePKCEPair() (string, string, error) {
+	codeVerifier, err := qa.generateCodeVerifier()
+	if err != nil {
+		return "", "", err
+	}
+	codeChallenge := qa.generateCodeChallenge(codeVerifier)
+	return codeVerifier, codeChallenge, nil
+}
+
+// RefreshTokens refreshes the access token using refresh token
+func (qa *QwenAuth) RefreshTokens(ctx context.Context, refreshToken string) (*QwenTokenData, error) {
+	data := url.Values{}
+	data.Set("grant_type", "refresh_token")
+	data.Set("refresh_token", refreshToken)
+	data.Set("client_id", QwenOAuthClientID)
+
+	req, err := http.NewRequestWithContext(ctx, "POST", QwenOAuthTokenEndpoint, strings.NewReader(data.Encode()))
+	if err != nil {
+		return nil, fmt.Errorf("failed to create token request: %w", err)
+	}
+
+	req.Header.Set("Content-Type", "application/x-www-form-urlencoded")
+	req.Header.Set("Accept", "application/json")
+
+	resp, err := qa.httpClient.Do(req)
+
+	// resp, err := qa.httpClient.PostForm(QwenOAuthTokenEndpoint, data)
+	if err != nil {
+		return nil, fmt.Errorf("token refresh request failed: %w", err)
+	}
+	defer func() {
+		_ = resp.Body.Close()
+	}()
+
+	body, err := io.ReadAll(resp.Body)
+	if err != nil {
+		return nil, fmt.Errorf("failed to read response body: %w", err)
+	}
+
+	if resp.StatusCode != http.StatusOK {
+		var errorData map[string]interface{}
+		if err = json.Unmarshal(body, &errorData); err == nil {
+			return nil, fmt.Errorf("token refresh failed: %v - %v", errorData["error"], errorData["error_description"])
+		}
+		return nil, fmt.Errorf("token refresh failed: %s", string(body))
+	}
+
+	var tokenData QwenTokenResponse
+	if err = json.Unmarshal(body, &tokenData); err != nil {
+		return nil, fmt.Errorf("failed to parse token response: %w", err)
+	}
+
+	return &QwenTokenData{
+		AccessToken:  tokenData.AccessToken,
+		TokenType:    tokenData.TokenType,
+		RefreshToken: tokenData.RefreshToken,
+		ResourceURL:  tokenData.ResourceURL,
+		Expire:       time.Now().Add(time.Duration(tokenData.ExpiresIn) * time.Second).Format(time.RFC3339),
+	}, nil
+}
+
+// InitiateDeviceFlow initiates the OAuth device flow
+func (qa *QwenAuth) InitiateDeviceFlow(ctx context.Context) (*DeviceFlow, error) {
+	// Generate PKCE code verifier and challenge
+	codeVerifier, codeChallenge, err := qa.generatePKCEPair()
+	if err != nil {
+		return nil, fmt.Errorf("failed to generate PKCE pair: %w", err)
+	}
+
+	data := url.Values{}
+	data.Set("client_id", QwenOAuthClientID)
+	data.Set("scope", QwenOAuthScope)
+	data.Set("code_challenge", codeChallenge)
+	data.Set("code_challenge_method", "S256")
+
+	req, err := http.NewRequestWithContext(ctx, "POST", QwenOAuthDeviceCodeEndpoint, strings.NewReader(data.Encode()))
+	if err != nil {
+		return nil, fmt.Errorf("failed to create token request: %w", err)
+	}
+
+	req.Header.Set("Content-Type", "application/x-www-form-urlencoded")
+	req.Header.Set("Accept", "application/json")
+
+	resp, err := qa.httpClient.Do(req)
+
+	// resp, err := qa.httpClient.PostForm(QwenOAuthDeviceCodeEndpoint, data)
+	if err != nil {
+		return nil, fmt.Errorf("device authorization request failed: %w", err)
+	}
+	defer func() {
+		_ = resp.Body.Close()
+	}()
+
+	body, err := io.ReadAll(resp.Body)
+	if err != nil {
+		return nil, fmt.Errorf("failed to read response body: %w", err)
+	}
+
+	if resp.StatusCode != http.StatusOK {
+		return nil, fmt.Errorf("device authorization failed: %d %s. Response: %s", resp.StatusCode, resp.Status, string(body))
+	}
+
+	var result DeviceFlow
+	if err = json.Unmarshal(body, &result); err != nil {
+		return nil, fmt.Errorf("failed to parse device flow response: %w", err)
+	}
+
+	// Check if the response indicates success
+	if result.DeviceCode == "" {
+		return nil, fmt.Errorf("device authorization failed: device_code not found in response")
+	}
+
+	// Add the code_verifier to the result so it can be used later for polling
+	result.CodeVerifier = codeVerifier
+
+	return &result, nil
+}
+
+// PollForToken polls for the access token using device code
+func (qa *QwenAuth) PollForToken(deviceCode, codeVerifier string) (*QwenTokenData, error) {
+	pollInterval := 5 * time.Second
+	maxAttempts := 60 // 5 minutes max
+
+	for attempt := 0; attempt < maxAttempts; attempt++ {
+		data := url.Values{}
+		data.Set("grant_type", QwenOAuthGrantType)
+		data.Set("client_id", QwenOAuthClientID)
+		data.Set("device_code", deviceCode)
+		data.Set("code_verifier", codeVerifier)
+
+		resp, err := http.PostForm(QwenOAuthTokenEndpoint, data)
+		if err != nil {
+			fmt.Printf("Polling attempt %d/%d failed: %v\n", attempt+1, maxAttempts, err)
+			time.Sleep(pollInterval)
+			continue
+		}
+
+		body, err := io.ReadAll(resp.Body)
+		_ = resp.Body.Close()
+		if err != nil {
+			fmt.Printf("Polling attempt %d/%d failed: %v\n", attempt+1, maxAttempts, err)
+			time.Sleep(pollInterval)
+			continue
+		}
+
+		if resp.StatusCode != http.StatusOK {
+			// Parse the response as JSON to check for OAuth RFC 8628 standard errors
+			var errorData map[string]interface{}
+			if err = json.Unmarshal(body, &errorData); err == nil {
+				// According to OAuth RFC 8628, handle standard polling responses
+				if resp.StatusCode == http.StatusBadRequest {
+					errorType, _ := errorData["error"].(string)
+					switch errorType {
+					case "authorization_pending":
+						// User has not yet approved the authorization request. Continue polling.
+						log.Infof("Polling attempt %d/%d...\n", attempt+1, maxAttempts)
+						time.Sleep(pollInterval)
+						continue
+					case "slow_down":
+						// Client is polling too frequently. Increase poll interval.
+						pollInterval = time.Duration(float64(pollInterval) * 1.5)
+						if pollInterval > 10*time.Second {
+							pollInterval = 10 * time.Second
+						}
+						log.Infof("Server requested to slow down, increasing poll interval to %v\n", pollInterval)
+						time.Sleep(pollInterval)
+						continue
+					case "expired_token":
+						return nil, fmt.Errorf("device code expired. Please restart the authentication process")
+					case "access_denied":
+						return nil, fmt.Errorf("authorization denied by user. Please restart the authentication process")
+					}
+				}
+
+				// For other errors, return with proper error information
+				errorType, _ := errorData["error"].(string)
+				errorDesc, _ := errorData["error_description"].(string)
+				return nil, fmt.Errorf("device token poll failed: %s - %s", errorType, errorDesc)
+			}
+
+			// If JSON parsing fails, fall back to text response
+			return nil, fmt.Errorf("device token poll failed: %d %s. Response: %s", resp.StatusCode, resp.Status, string(body))
+		}
+		log.Debugf(string(body))
+		// Success - parse token data
+		var response QwenTokenResponse
+		if err = json.Unmarshal(body, &response); err != nil {
+			return nil, fmt.Errorf("failed to parse token response: %w", err)
+		}
+
+		// Convert to QwenTokenData format and save
+		tokenData := &QwenTokenData{
+			AccessToken:  response.AccessToken,
+			RefreshToken: response.RefreshToken,
+			TokenType:    response.TokenType,
+			ResourceURL:  response.ResourceURL,
+			Expire:       time.Now().Add(time.Duration(response.ExpiresIn) * time.Second).Format(time.RFC3339),
+		}
+
+		return tokenData, nil
+	}
+
+	return nil, fmt.Errorf("authentication timeout. Please restart the authentication process")
+}
+
+// RefreshTokensWithRetry refreshes tokens with automatic retry logic
+func (o *QwenAuth) RefreshTokensWithRetry(ctx context.Context, refreshToken string, maxRetries int) (*QwenTokenData, error) {
+	var lastErr error
+
+	for attempt := 0; attempt < maxRetries; attempt++ {
+		if attempt > 0 {
+			// Wait before retry
+			select {
+			case <-ctx.Done():
+				return nil, ctx.Err()
+			case <-time.After(time.Duration(attempt) * time.Second):
+			}
+		}
+
+		tokenData, err := o.RefreshTokens(ctx, refreshToken)
+		if err == nil {
+			return tokenData, nil
+		}
+
+		lastErr = err
+		log.Warnf("Token refresh attempt %d failed: %v", attempt+1, err)
+	}
+
+	return nil, fmt.Errorf("token refresh failed after %d attempts: %w", maxRetries, lastErr)
+}
+
+func (o *QwenAuth) CreateTokenStorage(tokenData *QwenTokenData) *QwenTokenStorage {
+	storage := &QwenTokenStorage{
+		AccessToken:  tokenData.AccessToken,
+		RefreshToken: tokenData.RefreshToken,
+		LastRefresh:  time.Now().Format(time.RFC3339),
+		ResourceURL:  tokenData.ResourceURL,
+		Expire:       tokenData.Expire,
+	}
+
+	return storage
+}
+
+// UpdateTokenStorage updates an existing token storage with new token data
+func (o *QwenAuth) UpdateTokenStorage(storage *QwenTokenStorage, tokenData *QwenTokenData) {
+	storage.AccessToken = tokenData.AccessToken
+	storage.RefreshToken = tokenData.RefreshToken
+	storage.LastRefresh = time.Now().Format(time.RFC3339)
+	storage.ResourceURL = tokenData.ResourceURL
+	storage.Expire = tokenData.Expire
+}

internal/auth/qwen/qwen_token.go

@@ -0,0 +1,61 @@
+// Package gemini provides authentication and token management functionality
+// for Google's Gemini AI services. It handles OAuth2 token storage, serialization,
+// and retrieval for maintaining authenticated sessions with the Gemini API.
+package qwen
+
+import (
+	"encoding/json"
+	"fmt"
+	"os"
+	"path"
+)
+
+// QwenTokenStorage defines the structure for storing OAuth2 token information,
+// along with associated user and project details. This data is typically
+// serialized to a JSON file for persistence.
+type QwenTokenStorage struct {
+	// AccessToken is the OAuth2 access token for API access
+	AccessToken string `json:"access_token"`
+	// RefreshToken is used to obtain new access tokens
+	RefreshToken string `json:"refresh_token"`
+	// LastRefresh is the timestamp of the last token refresh
+	LastRefresh string `json:"last_refresh"`
+	// ResourceURL is the request base url
+	ResourceURL string `json:"resource_url"`
+	// Email is the OpenAI account email
+	Email string `json:"email"`
+	// Type indicates the type (gemini, chatgpt, claude) of token storage.
+	Type string `json:"type"`
+	// Expire is the timestamp of the token expire
+	Expire string `json:"expired"`
+}
+
+// SaveTokenToFile serializes the token storage to a JSON file.
+// This method creates the necessary directory structure and writes the token
+// data in JSON format to the specified file path. It ensures the file is
+// properly closed after writing.
+//
+// Parameters:
+//   - authFilePath: The full path where the token file should be saved
+//
+// Returns:
+//   - error: An error if the operation fails, nil otherwise
+func (ts *QwenTokenStorage) SaveTokenToFile(authFilePath string) error {
+	ts.Type = "qwen"
+	if err := os.MkdirAll(path.Dir(authFilePath), 0700); err != nil {
+		return fmt.Errorf("failed to create directory: %v", err)
+	}
+
+	f, err := os.Create(authFilePath)
+	if err != nil {
+		return fmt.Errorf("failed to create token file: %w", err)
+	}
+	defer func() {
+		_ = f.Close()
+	}()
+
+	if err = json.NewEncoder(f).Encode(ts); err != nil {
+		return fmt.Errorf("failed to write token to file: %w", err)
+	}
+	return nil
+}

internal/client/qwen_client.go

@@ -0,0 +1,288 @@
+package client
+
+import (
+	"bufio"
+	"bytes"
+	"context"
+	"encoding/json"
+	"fmt"
+	"io"
+	"net/http"
+	"path/filepath"
+	"strings"
+	"sync"
+	"time"
+
+	"github.com/gin-gonic/gin"
+	"github.com/luispater/CLIProxyAPI/internal/auth"
+	"github.com/luispater/CLIProxyAPI/internal/auth/qwen"
+	"github.com/luispater/CLIProxyAPI/internal/config"
+	"github.com/luispater/CLIProxyAPI/internal/util"
+	log "github.com/sirupsen/logrus"
+	"github.com/tidwall/gjson"
+	"github.com/tidwall/sjson"
+)
+
+const (
+	qwenEndpoint = "https://portal.qwen.ai/v1"
+)
+
+// QwenClient implements the Client interface for OpenAI API
+type QwenClient struct {
+	ClientBase
+	qwenAuth *qwen.QwenAuth
+}
+
+// NewQwenClient creates a new OpenAI client instance
+func NewQwenClient(cfg *config.Config, ts *qwen.QwenTokenStorage) *QwenClient {
+	httpClient := util.SetProxy(cfg, &http.Client{})
+	client := &QwenClient{
+		ClientBase: ClientBase{
+			RequestMutex:       &sync.Mutex{},
+			httpClient:         httpClient,
+			cfg:                cfg,
+			modelQuotaExceeded: make(map[string]*time.Time),
+			tokenStorage:       ts,
+		},
+		qwenAuth: qwen.NewQwenAuth(cfg),
+	}
+
+	return client
+}
+
+// GetUserAgent returns the user agent string for OpenAI API requests
+func (c *QwenClient) GetUserAgent() string {
+	return "google-api-nodejs-client/9.15.1"
+}
+
+func (c *QwenClient) TokenStorage() auth.TokenStorage {
+	return c.tokenStorage
+}
+
+// SendMessage sends a message to OpenAI API (non-streaming)
+func (c *QwenClient) SendMessage(_ context.Context, _ []byte, _ string, _ *Content, _ []Content, _ []ToolDeclaration) ([]byte, *ErrorMessage) {
+	// For now, return an error as OpenAI integration is not fully implemented
+	return nil, &ErrorMessage{
+		StatusCode: http.StatusNotImplemented,
+		Error:      fmt.Errorf("qwen message sending not yet implemented"),
+	}
+}
+
+// SendMessageStream sends a streaming message to OpenAI API
+func (c *QwenClient) SendMessageStream(_ context.Context, _ []byte, _ string, _ *Content, _ []Content, _ []ToolDeclaration, _ ...bool) (<-chan []byte, <-chan *ErrorMessage) {
+	errChan := make(chan *ErrorMessage, 1)
+	errChan <- &ErrorMessage{
+		StatusCode: http.StatusNotImplemented,
+		Error:      fmt.Errorf("qwen streaming not yet implemented"),
+	}
+	close(errChan)
+
+	return nil, errChan
+}
+
+// SendRawMessage sends a raw message to OpenAI API
+func (c *QwenClient) SendRawMessage(ctx context.Context, rawJSON []byte, alt string) ([]byte, *ErrorMessage) {
+	modelResult := gjson.GetBytes(rawJSON, "model")
+	model := modelResult.String()
+	modelName := model
+
+	respBody, err := c.APIRequest(ctx, "/chat/completions", rawJSON, alt, false)
+	if err != nil {
+		if err.StatusCode == 429 {
+			now := time.Now()
+			c.modelQuotaExceeded[modelName] = &now
+		}
+		return nil, err
+	}
+	delete(c.modelQuotaExceeded, modelName)
+	bodyBytes, errReadAll := io.ReadAll(respBody)
+	if errReadAll != nil {
+		return nil, &ErrorMessage{StatusCode: 500, Error: errReadAll}
+	}
+	return bodyBytes, nil
+
+}
+
+// SendRawMessageStream sends a raw streaming message to OpenAI API
+func (c *QwenClient) SendRawMessageStream(ctx context.Context, rawJSON []byte, alt string) (<-chan []byte, <-chan *ErrorMessage) {
+	errChan := make(chan *ErrorMessage)
+	dataChan := make(chan []byte)
+	go func() {
+		defer close(errChan)
+		defer close(dataChan)
+
+		modelResult := gjson.GetBytes(rawJSON, "model")
+		model := modelResult.String()
+		modelName := model
+		var stream io.ReadCloser
+		for {
+			var err *ErrorMessage
+			stream, err = c.APIRequest(ctx, "/chat/completions", rawJSON, alt, true)
+			if err != nil {
+				if err.StatusCode == 429 {
+					now := time.Now()
+					c.modelQuotaExceeded[modelName] = &now
+				}
+				errChan <- err
+				return
+			}
+			delete(c.modelQuotaExceeded, modelName)
+			break
+		}
+
+		scanner := bufio.NewScanner(stream)
+		buffer := make([]byte, 10240*1024)
+		scanner.Buffer(buffer, 10240*1024)
+		for scanner.Scan() {
+			line := scanner.Bytes()
+			dataChan <- line
+		}
+
+		if errScanner := scanner.Err(); errScanner != nil {
+			errChan <- &ErrorMessage{500, errScanner, nil}
+			_ = stream.Close()
+			return
+		}
+
+		_ = stream.Close()
+	}()
+
+	return dataChan, errChan
+}
+
+// SendRawTokenCount sends a token count request to OpenAI API
+func (c *QwenClient) SendRawTokenCount(_ context.Context, _ []byte, _ string) ([]byte, *ErrorMessage) {
+	return nil, &ErrorMessage{
+		StatusCode: http.StatusNotImplemented,
+		Error:      fmt.Errorf("qwen token counting not yet implemented"),
+	}
+}
+
+// SaveTokenToFile persists the token storage to disk
+func (c *QwenClient) SaveTokenToFile() error {
+	fileName := filepath.Join(c.cfg.AuthDir, fmt.Sprintf("qwen-%s.json", c.tokenStorage.(*qwen.QwenTokenStorage).Email))
+	return c.tokenStorage.SaveTokenToFile(fileName)
+}
+
+// RefreshTokens refreshes the access tokens if needed
+func (c *QwenClient) RefreshTokens(ctx context.Context) error {
+	if c.tokenStorage == nil || c.tokenStorage.(*qwen.QwenTokenStorage).RefreshToken == "" {
+		return fmt.Errorf("no refresh token available")
+	}
+
+	// Refresh tokens using the auth service
+	newTokenData, err := c.qwenAuth.RefreshTokensWithRetry(ctx, c.tokenStorage.(*qwen.QwenTokenStorage).RefreshToken, 3)
+	if err != nil {
+		return fmt.Errorf("failed to refresh tokens: %w", err)
+	}
+
+	// Update token storage
+	c.qwenAuth.UpdateTokenStorage(c.tokenStorage.(*qwen.QwenTokenStorage), newTokenData)
+
+	// Save updated tokens
+	if err = c.SaveTokenToFile(); err != nil {
+		log.Warnf("Failed to save refreshed tokens: %v", err)
+	}
+
+	log.Debug("qwen tokens refreshed successfully")
+	return nil
+}
+
+// APIRequest handles making requests to the CLI API endpoints.
+func (c *QwenClient) APIRequest(ctx context.Context, endpoint string, body interface{}, _ string, _ bool) (io.ReadCloser, *ErrorMessage) {
+	var jsonBody []byte
+	var err error
+	if byteBody, ok := body.([]byte); ok {
+		jsonBody = byteBody
+	} else {
+		jsonBody, err = json.Marshal(body)
+		if err != nil {
+			return nil, &ErrorMessage{500, fmt.Errorf("failed to marshal request body: %w", err), nil}
+		}
+	}
+
+	streamResult := gjson.GetBytes(jsonBody, "stream")
+	if streamResult.Exists() && streamResult.Type == gjson.True {
+		jsonBody, _ = sjson.SetBytes(jsonBody, "stream_options.include_usage", true)
+	}
+
+	var url string
+	if c.tokenStorage.(*qwen.QwenTokenStorage).ResourceURL == "" {
+		url = fmt.Sprintf("https://%s/v1%s", c.tokenStorage.(*qwen.QwenTokenStorage).ResourceURL, endpoint)
+	} else {
+		url = fmt.Sprintf("%s%s", qwenEndpoint, endpoint)
+	}
+
+	// log.Debug(string(jsonBody))
+	// log.Debug(url)
+	reqBody := bytes.NewBuffer(jsonBody)
+
+	req, err := http.NewRequestWithContext(ctx, "POST", url, reqBody)
+	if err != nil {
+		return nil, &ErrorMessage{500, fmt.Errorf("failed to create request: %v", err), nil}
+	}
+
+	// Set headers
+	req.Header.Set("Content-Type", "application/json")
+	req.Header.Set("User-Agent", c.GetUserAgent())
+	req.Header.Set("X-Goog-Api-Client", "gl-node/22.17.0")
+	req.Header.Set("Client-Metadata", c.getClientMetadataString())
+	req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", c.tokenStorage.(*qwen.QwenTokenStorage).AccessToken))
+
+	if ginContext, ok := ctx.Value("gin").(*gin.Context); ok {
+		ginContext.Set("API_REQUEST", jsonBody)
+	}
+
+	resp, err := c.httpClient.Do(req)
+	if err != nil {
+		return nil, &ErrorMessage{500, fmt.Errorf("failed to execute request: %v", err), nil}
+	}
+
+	if resp.StatusCode < 200 || resp.StatusCode >= 300 {
+		defer func() {
+			if err = resp.Body.Close(); err != nil {
+				log.Printf("warn: failed to close response body: %v", err)
+			}
+		}()
+		bodyBytes, _ := io.ReadAll(resp.Body)
+		// log.Debug(string(jsonBody))
+		return nil, &ErrorMessage{resp.StatusCode, fmt.Errorf(string(bodyBytes)), nil}
+	}
+
+	return resp.Body, nil
+}
+
+func (c *QwenClient) getClientMetadata() map[string]string {
+	return map[string]string{
+		"ideType":    "IDE_UNSPECIFIED",
+		"platform":   "PLATFORM_UNSPECIFIED",
+		"pluginType": "GEMINI",
+		// "pluginVersion": pluginVersion,
+	}
+}
+
+func (c *QwenClient) getClientMetadataString() string {
+	md := c.getClientMetadata()
+	parts := make([]string, 0, len(md))
+	for k, v := range md {
+		parts = append(parts, fmt.Sprintf("%s=%s", k, v))
+	}
+	return strings.Join(parts, ",")
+}
+
+func (c *QwenClient) GetEmail() string {
+	return c.tokenStorage.(*qwen.QwenTokenStorage).Email
+}
+
+// IsModelQuotaExceeded returns true if the specified model has exceeded its quota
+// and no fallback options are available.
+func (c *QwenClient) IsModelQuotaExceeded(model string) bool {
+	if lastExceededTime, hasKey := c.modelQuotaExceeded[model]; hasKey {
+		duration := time.Now().Sub(*lastExceededTime)
+		if duration > 30*time.Minute {
+			return false
+		}
+		return true
+	}
+	return false
+}

internal/cmd/qwen_login.go

@@ -0,0 +1,85 @@
+package cmd
+
+import (
+	"context"
+	"fmt"
+	"os"
+
+	"github.com/luispater/CLIProxyAPI/internal/auth/qwen"
+	"github.com/luispater/CLIProxyAPI/internal/browser"
+	"github.com/luispater/CLIProxyAPI/internal/client"
+	"github.com/luispater/CLIProxyAPI/internal/config"
+	log "github.com/sirupsen/logrus"
+)
+
+// DoQwenLogin handles the Qwen OAuth login process
+func DoQwenLogin(cfg *config.Config, options *LoginOptions) {
+	if options == nil {
+		options = &LoginOptions{}
+	}
+
+	ctx := context.Background()
+
+	log.Info("Initializing Qwen authentication...")
+
+	// Initialize Qwen auth service
+	qwenAuth := qwen.NewQwenAuth(cfg)
+
+	// Generate authorization URL
+	deviceFlow, err := qwenAuth.InitiateDeviceFlow(ctx)
+	if err != nil {
+		log.Fatalf("Failed to generate authorization URL: %v", err)
+		return
+	}
+	authURL := deviceFlow.VerificationURIComplete
+
+	// Open browser or display URL
+	if !options.NoBrowser {
+		log.Info("Opening browser for authentication...")
+
+		// Check if browser is available
+		if !browser.IsAvailable() {
+			log.Warn("No browser available on this system")
+			log.Infof("Please manually open this URL in your browser:\n\n%s\n", authURL)
+		} else {
+			if err = browser.OpenURL(authURL); err != nil {
+				log.Infof("Please manually open this URL in your browser:\n\n%s\n", authURL)
+
+				// Log platform info for debugging
+				platformInfo := browser.GetPlatformInfo()
+				log.Debugf("Browser platform info: %+v", platformInfo)
+			} else {
+				log.Debug("Browser opened successfully")
+			}
+		}
+	} else {
+		log.Infof("Please open this URL in your browser:\n\n%s\n", authURL)
+	}
+
+	log.Info("Waiting for authentication...")
+	tokenData, err := qwenAuth.PollForToken(deviceFlow.DeviceCode, deviceFlow.CodeVerifier)
+	if err != nil {
+		fmt.Printf("Authentication failed: %v\n", err)
+		os.Exit(1)
+	}
+
+	// Create token storage
+	tokenStorage := qwenAuth.CreateTokenStorage(tokenData)
+
+	// Initialize Qwen client
+	qwenClient := client.NewQwenClient(cfg, tokenStorage)
+
+	fmt.Println("\nPlease input your email address or any alias:")
+	var email string
+	_, _ = fmt.Scanln(&email)
+	tokenStorage.Email = email
+
+	// Save token storage
+	if err = qwenClient.SaveTokenToFile(); err != nil {
+		log.Fatalf("Failed to save authentication tokens: %v", err)
+		return
+	}
+
+	log.Info("Authentication successful!")
+	log.Info("You can now use Qwen services through this CLI")
+}

internal/cmd/run.go

@@ -22,6 +22,7 @@ import (
 	"github.com/luispater/CLIProxyAPI/internal/auth/claude"
 	"github.com/luispater/CLIProxyAPI/internal/auth/codex"
 	"github.com/luispater/CLIProxyAPI/internal/auth/gemini"
+	"github.com/luispater/CLIProxyAPI/internal/auth/qwen"
 	"github.com/luispater/CLIProxyAPI/internal/client"
 	"github.com/luispater/CLIProxyAPI/internal/config"
 	"github.com/luispater/CLIProxyAPI/internal/util"
@@ -102,6 +103,15 @@ func StartService(cfg *config.Config, configPath string) {
 					log.Info("Authentication successful.")
 					cliClients = append(cliClients, claudeClient)
 				}
+			} else if tokenType == "qwen" {
+				var ts qwen.QwenTokenStorage
+				if err = json.Unmarshal(data, &ts); err == nil {
+					// For each valid token, create an authenticated client.
+					log.Info("Initializing qwen authentication for token...")
+					qwenClient := client.NewQwenClient(cfg, &ts)
+					log.Info("Authentication successful.")
+					cliClients = append(cliClients, qwenClient)
+				}
 			}
 		}
 		return nil
@@ -200,12 +210,23 @@ func StartService(cfg *config.Config, configPath string) {
 						if ts != nil && ts.Expire != "" {
 							if expTime, errParse := time.Parse(time.RFC3339, ts.Expire); errParse == nil {
 								if time.Until(expTime) <= 4*time.Hour {
-									log.Debugf("refreshing codex tokens for %s", claudeCli.GetEmail())
+									log.Debugf("refreshing claude tokens for %s", claudeCli.GetEmail())
 									_ = claudeCli.RefreshTokens(ctxRefresh)
 								}
 							}
 						}
 					}
+				} else if qwenCli, isQwenOK := cliClients[i].(*client.QwenClient); isQwenOK {
+					if ts, isQwenTS := qwenCli.TokenStorage().(*qwen.QwenTokenStorage); isQwenTS {
+						if ts != nil && ts.Expire != "" {
+							if expTime, errParse := time.Parse(time.RFC3339, ts.Expire); errParse == nil {
+								if time.Until(expTime) <= 3*time.Hour {
+									log.Debugf("refreshing qwen tokens for %s", qwenCli.GetEmail())
+									_ = qwenCli.RefreshTokens(ctxRefresh)
+								}
+							}
+						}
+					}
 				}
 			}
 		}

internal/translator/openai/claude/openai_claude_request.go

@@ -0,0 +1,253 @@
+// Package claude provides request translation functionality for Anthropic to OpenAI API.
+// It handles parsing and transforming Anthropic API requests into OpenAI Chat Completions API format,
+// extracting model information, system instructions, message contents, and tool declarations.
+// The package performs JSON data transformation to ensure compatibility
+// between Anthropic API format and OpenAI API's expected format.
+package claude
+
+import (
+	"encoding/json"
+	"strings"
+
+	"github.com/tidwall/gjson"
+	"github.com/tidwall/sjson"
+)
+
+// ConvertAnthropicRequestToOpenAI parses and transforms an Anthropic API request into OpenAI Chat Completions API format.
+// It extracts the model name, system instruction, message contents, and tool declarations
+// from the raw JSON request and returns them in the format expected by the OpenAI API.
+func ConvertAnthropicRequestToOpenAI(rawJSON []byte) string {
+	// Base OpenAI Chat Completions API template
+	out := `{"model":"","messages":[]}`
+
+	root := gjson.ParseBytes(rawJSON)
+
+	// Model mapping
+	if model := root.Get("model"); model.Exists() {
+		modelStr := model.String()
+		out, _ = sjson.Set(out, "model", modelStr)
+	}
+
+	// Max tokens
+	if maxTokens := root.Get("max_tokens"); maxTokens.Exists() {
+		out, _ = sjson.Set(out, "max_tokens", maxTokens.Int())
+	}
+
+	// Temperature
+	if temp := root.Get("temperature"); temp.Exists() {
+		out, _ = sjson.Set(out, "temperature", temp.Float())
+	}
+
+	// Top P
+	if topP := root.Get("top_p"); topP.Exists() {
+		out, _ = sjson.Set(out, "top_p", topP.Float())
+	}
+
+	// Stop sequences -> stop
+	if stopSequences := root.Get("stop_sequences"); stopSequences.Exists() {
+		if stopSequences.IsArray() {
+			var stops []string
+			stopSequences.ForEach(func(_, value gjson.Result) bool {
+				stops = append(stops, value.String())
+				return true
+			})
+			if len(stops) > 0 {
+				if len(stops) == 1 {
+					out, _ = sjson.Set(out, "stop", stops[0])
+				} else {
+					out, _ = sjson.Set(out, "stop", stops)
+				}
+			}
+		}
+	}
+
+	// Stream
+	if stream := root.Get("stream"); stream.Exists() {
+		out, _ = sjson.Set(out, "stream", stream.Bool())
+	}
+
+	// Process messages and system
+	var openAIMessages []interface{}
+
+	// Handle system message first
+	if system := root.Get("system"); system.Exists() && system.String() != "" {
+		systemMsg := map[string]interface{}{
+			"role":    "system",
+			"content": system.String(),
+		}
+		openAIMessages = append(openAIMessages, systemMsg)
+	}
+
+	// Process Anthropic messages
+	if messages := root.Get("messages"); messages.Exists() && messages.IsArray() {
+		messages.ForEach(func(_, message gjson.Result) bool {
+			role := message.Get("role").String()
+			contentResult := message.Get("content")
+
+			msg := map[string]interface{}{
+				"role": role,
+			}
+
+			// Handle content
+			if contentResult.Exists() && contentResult.IsArray() {
+				var textParts []string
+				var toolCalls []interface{}
+				var toolResults []interface{}
+
+				contentResult.ForEach(func(_, part gjson.Result) bool {
+					partType := part.Get("type").String()
+
+					switch partType {
+					case "text":
+						textParts = append(textParts, part.Get("text").String())
+
+					case "image":
+						// Convert Anthropic image format to OpenAI format
+						if source := part.Get("source"); source.Exists() {
+							sourceType := source.Get("type").String()
+							if sourceType == "base64" {
+								mediaType := source.Get("media_type").String()
+								data := source.Get("data").String()
+								imageURL := "data:" + mediaType + ";base64," + data
+
+								// For now, add as text since OpenAI image handling is complex
+								// In a real implementation, you'd need to handle this properly
+								textParts = append(textParts, "[Image: "+imageURL+"]")
+							}
+						}
+
+					case "tool_use":
+						// Convert to OpenAI tool call format
+						toolCall := map[string]interface{}{
+							"id":   part.Get("id").String(),
+							"type": "function",
+							"function": map[string]interface{}{
+								"name": part.Get("name").String(),
+							},
+						}
+
+						// Convert input to arguments JSON string
+						if input := part.Get("input"); input.Exists() {
+							if inputJSON, err := json.Marshal(input.Value()); err == nil {
+								if function, ok := toolCall["function"].(map[string]interface{}); ok {
+									function["arguments"] = string(inputJSON)
+								}
+							} else {
+								if function, ok := toolCall["function"].(map[string]interface{}); ok {
+									function["arguments"] = "{}"
+								}
+							}
+						} else {
+							if function, ok := toolCall["function"].(map[string]interface{}); ok {
+								function["arguments"] = "{}"
+							}
+						}
+
+						toolCalls = append(toolCalls, toolCall)
+
+					case "tool_result":
+						// Convert to OpenAI tool message format
+						toolResult := map[string]interface{}{
+							"role":         "tool",
+							"tool_call_id": part.Get("tool_use_id").String(),
+							"content":      part.Get("content").String(),
+						}
+						toolResults = append(toolResults, toolResult)
+					}
+					return true
+				})
+
+				// Set content
+				if len(textParts) > 0 {
+					msg["content"] = strings.Join(textParts, "")
+				} else {
+					msg["content"] = ""
+				}
+
+				// Set tool calls for assistant messages
+				if role == "assistant" && len(toolCalls) > 0 {
+					msg["tool_calls"] = toolCalls
+				}
+
+				openAIMessages = append(openAIMessages, msg)
+
+				// Add tool result messages separately
+				for _, toolResult := range toolResults {
+					openAIMessages = append(openAIMessages, toolResult)
+				}
+
+			} else if contentResult.Exists() && contentResult.Type == gjson.String {
+				// Simple string content
+				msg["content"] = contentResult.String()
+				openAIMessages = append(openAIMessages, msg)
+			}
+
+			return true
+		})
+	}
+
+	// Set messages
+	if len(openAIMessages) > 0 {
+		messagesJSON, _ := json.Marshal(openAIMessages)
+		out, _ = sjson.SetRaw(out, "messages", string(messagesJSON))
+	}
+
+	// Process tools - convert Anthropic tools to OpenAI functions
+	if tools := root.Get("tools"); tools.Exists() && tools.IsArray() {
+		var openAITools []interface{}
+
+		tools.ForEach(func(_, tool gjson.Result) bool {
+			openAITool := map[string]interface{}{
+				"type": "function",
+				"function": map[string]interface{}{
+					"name":        tool.Get("name").String(),
+					"description": tool.Get("description").String(),
+				},
+			}
+
+			// Convert Anthropic input_schema to OpenAI function parameters
+			if inputSchema := tool.Get("input_schema"); inputSchema.Exists() {
+				if function, ok := openAITool["function"].(map[string]interface{}); ok {
+					function["parameters"] = inputSchema.Value()
+				}
+			}
+
+			openAITools = append(openAITools, openAITool)
+			return true
+		})
+
+		if len(openAITools) > 0 {
+			toolsJSON, _ := json.Marshal(openAITools)
+			out, _ = sjson.SetRaw(out, "tools", string(toolsJSON))
+		}
+	}
+
+	// Tool choice mapping - convert Anthropic tool_choice to OpenAI format
+	if toolChoice := root.Get("tool_choice"); toolChoice.Exists() {
+		switch toolChoice.Get("type").String() {
+		case "auto":
+			out, _ = sjson.Set(out, "tool_choice", "auto")
+		case "any":
+			out, _ = sjson.Set(out, "tool_choice", "required")
+		case "tool":
+			// Specific tool choice
+			toolName := toolChoice.Get("name").String()
+			out, _ = sjson.Set(out, "tool_choice", map[string]interface{}{
+				"type": "function",
+				"function": map[string]interface{}{
+					"name": toolName,
+				},
+			})
+		default:
+			// Default to auto if not specified
+			out, _ = sjson.Set(out, "tool_choice", "auto")
+		}
+	}
+
+	// Handle user parameter (for tracking)
+	if user := root.Get("user"); user.Exists() {
+		out, _ = sjson.Set(out, "user", user.String())
+	}
+
+	return out
+}

internal/translator/openai/claude/openai_claude_response.go

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

internal/translator/openai/gemini/openai_gemini_request.go

@@ -0,0 +1,359 @@
+// Package gemini provides request translation functionality for Gemini to OpenAI API.
+// It handles parsing and transforming Gemini API requests into OpenAI Chat Completions API format,
+// extracting model information, generation config, message contents, and tool declarations.
+// The package performs JSON data transformation to ensure compatibility
+// between Gemini API format and OpenAI API's expected format.
+package gemini
+
+import (
+	"crypto/rand"
+	"encoding/json"
+	"math/big"
+	"strings"
+
+	"github.com/tidwall/gjson"
+	"github.com/tidwall/sjson"
+)
+
+// ConvertGeminiRequestToOpenAI parses and transforms a Gemini API request into OpenAI Chat Completions API format.
+// It extracts the model name, generation config, message contents, and tool declarations
+// from the raw JSON request and returns them in the format expected by the OpenAI API.
+func ConvertGeminiRequestToOpenAI(rawJSON []byte) string {
+	// Base OpenAI Chat Completions API template
+	out := `{"model":"","messages":[]}`
+
+	root := gjson.ParseBytes(rawJSON)
+
+	// Helper for generating tool call IDs in the form: call_<alphanum>
+	genToolCallID := func() string {
+		const letters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789"
+		var b strings.Builder
+		// 24 chars random suffix
+		for i := 0; i < 24; i++ {
+			n, _ := rand.Int(rand.Reader, big.NewInt(int64(len(letters))))
+			b.WriteByte(letters[n.Int64()])
+		}
+		return "call_" + b.String()
+	}
+
+	// Model mapping
+	if model := root.Get("model"); model.Exists() {
+		modelStr := model.String()
+		out, _ = sjson.Set(out, "model", modelStr)
+	}
+
+	// Generation config mapping
+	if genConfig := root.Get("generationConfig"); genConfig.Exists() {
+		// Temperature
+		if temp := genConfig.Get("temperature"); temp.Exists() {
+			out, _ = sjson.Set(out, "temperature", temp.Float())
+		}
+
+		// Max tokens
+		if maxTokens := genConfig.Get("maxOutputTokens"); maxTokens.Exists() {
+			out, _ = sjson.Set(out, "max_tokens", maxTokens.Int())
+		}
+
+		// Top P
+		if topP := genConfig.Get("topP"); topP.Exists() {
+			out, _ = sjson.Set(out, "top_p", topP.Float())
+		}
+
+		// Top K (OpenAI doesn't have direct equivalent, but we can map it)
+		if topK := genConfig.Get("topK"); topK.Exists() {
+			// Store as custom parameter for potential use
+			out, _ = sjson.Set(out, "top_k", topK.Int())
+		}
+
+		// Stop sequences
+		if stopSequences := genConfig.Get("stopSequences"); stopSequences.Exists() && stopSequences.IsArray() {
+			var stops []string
+			stopSequences.ForEach(func(_, value gjson.Result) bool {
+				stops = append(stops, value.String())
+				return true
+			})
+			if len(stops) > 0 {
+				out, _ = sjson.Set(out, "stop", stops)
+			}
+		}
+	}
+
+	// Stream parameter
+	if stream := root.Get("stream"); stream.Exists() {
+		out, _ = sjson.Set(out, "stream", stream.Bool())
+	}
+
+	// Process contents (Gemini messages) -> OpenAI messages
+	var openAIMessages []interface{}
+	var toolCallIDs []string // Track tool call IDs for matching with tool results
+
+	if contents := root.Get("contents"); contents.Exists() && contents.IsArray() {
+		contents.ForEach(func(_, content gjson.Result) bool {
+			role := content.Get("role").String()
+			parts := content.Get("parts")
+
+			// Convert role: model -> assistant
+			if role == "model" {
+				role = "assistant"
+			}
+
+			// Create OpenAI message
+			msg := map[string]interface{}{
+				"role":    role,
+				"content": "",
+			}
+
+			var contentParts []string
+			var toolCalls []interface{}
+
+			if parts.Exists() && parts.IsArray() {
+				parts.ForEach(func(_, part gjson.Result) bool {
+					// Handle text parts
+					if text := part.Get("text"); text.Exists() {
+						contentParts = append(contentParts, text.String())
+					}
+
+					// Handle function calls (Gemini) -> tool calls (OpenAI)
+					if functionCall := part.Get("functionCall"); functionCall.Exists() {
+						toolCallID := genToolCallID()
+						toolCallIDs = append(toolCallIDs, toolCallID)
+
+						toolCall := map[string]interface{}{
+							"id":   toolCallID,
+							"type": "function",
+							"function": map[string]interface{}{
+								"name": functionCall.Get("name").String(),
+							},
+						}
+
+						// Convert args to arguments JSON string
+						if args := functionCall.Get("args"); args.Exists() {
+							argsJSON, _ := json.Marshal(args.Value())
+							toolCall["function"].(map[string]interface{})["arguments"] = string(argsJSON)
+						} else {
+							toolCall["function"].(map[string]interface{})["arguments"] = "{}"
+						}
+
+						toolCalls = append(toolCalls, toolCall)
+					}
+
+					// Handle function responses (Gemini) -> tool role messages (OpenAI)
+					if functionResponse := part.Get("functionResponse"); functionResponse.Exists() {
+						// Create tool message for function response
+						toolMsg := map[string]interface{}{
+							"role":         "tool",
+							"tool_call_id": "", // Will be set based on context
+							"content":      "",
+						}
+
+						// Convert response.content to JSON string
+						if response := functionResponse.Get("response"); response.Exists() {
+							if content = response.Get("content"); content.Exists() {
+								// Use the content field from the response
+								contentJSON, _ := json.Marshal(content.Value())
+								toolMsg["content"] = string(contentJSON)
+							} else {
+								// Fallback to entire response
+								responseJSON, _ := json.Marshal(response.Value())
+								toolMsg["content"] = string(responseJSON)
+							}
+						}
+
+						// Try to match with previous tool call ID
+						_ = functionResponse.Get("name").String() // functionName not used for now
+						if len(toolCallIDs) > 0 {
+							// Use the last tool call ID (simple matching by function name)
+							// In a real implementation, you might want more sophisticated matching
+							toolMsg["tool_call_id"] = toolCallIDs[len(toolCallIDs)-1]
+						} else {
+							// Generate a tool call ID if none available
+							toolMsg["tool_call_id"] = genToolCallID()
+						}
+
+						openAIMessages = append(openAIMessages, toolMsg)
+					}
+
+					return true
+				})
+			}
+
+			// Set content
+			if len(contentParts) > 0 {
+				msg["content"] = strings.Join(contentParts, "")
+			}
+
+			// Set tool calls if any
+			if len(toolCalls) > 0 {
+				msg["tool_calls"] = toolCalls
+			}
+
+			openAIMessages = append(openAIMessages, msg)
+
+			// switch role {
+			// case "user", "model":
+			// 	// Convert role: model -> assistant
+			// 	if role == "model" {
+			// 		role = "assistant"
+			// 	}
+			//
+			// 	// Create OpenAI message
+			// 	msg := map[string]interface{}{
+			// 		"role":    role,
+			// 		"content": "",
+			// 	}
+			//
+			// 	var contentParts []string
+			// 	var toolCalls []interface{}
+			//
+			// 	if parts.Exists() && parts.IsArray() {
+			// 		parts.ForEach(func(_, part gjson.Result) bool {
+			// 			// Handle text parts
+			// 			if text := part.Get("text"); text.Exists() {
+			// 				contentParts = append(contentParts, text.String())
+			// 			}
+			//
+			// 			// Handle function calls (Gemini) -> tool calls (OpenAI)
+			// 			if functionCall := part.Get("functionCall"); functionCall.Exists() {
+			// 				toolCallID := genToolCallID()
+			// 				toolCallIDs = append(toolCallIDs, toolCallID)
+			//
+			// 				toolCall := map[string]interface{}{
+			// 					"id":   toolCallID,
+			// 					"type": "function",
+			// 					"function": map[string]interface{}{
+			// 						"name": functionCall.Get("name").String(),
+			// 					},
+			// 				}
+			//
+			// 				// Convert args to arguments JSON string
+			// 				if args := functionCall.Get("args"); args.Exists() {
+			// 					argsJSON, _ := json.Marshal(args.Value())
+			// 					toolCall["function"].(map[string]interface{})["arguments"] = string(argsJSON)
+			// 				} else {
+			// 					toolCall["function"].(map[string]interface{})["arguments"] = "{}"
+			// 				}
+			//
+			// 				toolCalls = append(toolCalls, toolCall)
+			// 			}
+			//
+			// 			return true
+			// 		})
+			// 	}
+			//
+			// 	// Set content
+			// 	if len(contentParts) > 0 {
+			// 		msg["content"] = strings.Join(contentParts, "")
+			// 	}
+			//
+			// 	// Set tool calls if any
+			// 	if len(toolCalls) > 0 {
+			// 		msg["tool_calls"] = toolCalls
+			// 	}
+			//
+			// 	openAIMessages = append(openAIMessages, msg)
+			//
+			// case "function":
+			// 	// Handle Gemini function role -> OpenAI tool role
+			// 	if parts.Exists() && parts.IsArray() {
+			// 		parts.ForEach(func(_, part gjson.Result) bool {
+			// 			// Handle function responses (Gemini) -> tool role messages (OpenAI)
+			// 			if functionResponse := part.Get("functionResponse"); functionResponse.Exists() {
+			// 				// Create tool message for function response
+			// 				toolMsg := map[string]interface{}{
+			// 					"role":         "tool",
+			// 					"tool_call_id": "", // Will be set based on context
+			// 					"content":      "",
+			// 				}
+			//
+			// 				// Convert response.content to JSON string
+			// 				if response := functionResponse.Get("response"); response.Exists() {
+			// 					if content = response.Get("content"); content.Exists() {
+			// 						// Use the content field from the response
+			// 						contentJSON, _ := json.Marshal(content.Value())
+			// 						toolMsg["content"] = string(contentJSON)
+			// 					} else {
+			// 						// Fallback to entire response
+			// 						responseJSON, _ := json.Marshal(response.Value())
+			// 						toolMsg["content"] = string(responseJSON)
+			// 					}
+			// 				}
+			//
+			// 				// Try to match with previous tool call ID
+			// 				_ = functionResponse.Get("name").String() // functionName not used for now
+			// 				if len(toolCallIDs) > 0 {
+			// 					// Use the last tool call ID (simple matching by function name)
+			// 					// In a real implementation, you might want more sophisticated matching
+			// 					toolMsg["tool_call_id"] = toolCallIDs[len(toolCallIDs)-1]
+			// 				} else {
+			// 					// Generate a tool call ID if none available
+			// 					toolMsg["tool_call_id"] = genToolCallID()
+			// 				}
+			//
+			// 				openAIMessages = append(openAIMessages, toolMsg)
+			// 			}
+			//
+			// 			return true
+			// 		})
+			// 	}
+			// }
+			return true
+		})
+	}
+
+	// Set messages
+	if len(openAIMessages) > 0 {
+		messagesJSON, _ := json.Marshal(openAIMessages)
+		out, _ = sjson.SetRaw(out, "messages", string(messagesJSON))
+	}
+
+	// Tools mapping: Gemini tools -> OpenAI tools
+	if tools := root.Get("tools"); tools.Exists() && tools.IsArray() {
+		var openAITools []interface{}
+		tools.ForEach(func(_, tool gjson.Result) bool {
+			if functionDeclarations := tool.Get("functionDeclarations"); functionDeclarations.Exists() && functionDeclarations.IsArray() {
+				functionDeclarations.ForEach(func(_, funcDecl gjson.Result) bool {
+					openAITool := map[string]interface{}{
+						"type": "function",
+						"function": map[string]interface{}{
+							"name":        funcDecl.Get("name").String(),
+							"description": funcDecl.Get("description").String(),
+						},
+					}
+
+					// Convert parameters schema
+					if parameters := funcDecl.Get("parameters"); parameters.Exists() {
+						openAITool["function"].(map[string]interface{})["parameters"] = parameters.Value()
+					} else if parameters = funcDecl.Get("parametersJsonSchema"); parameters.Exists() {
+						openAITool["function"].(map[string]interface{})["parameters"] = parameters.Value()
+					}
+
+					openAITools = append(openAITools, openAITool)
+					return true
+				})
+			}
+			return true
+		})
+
+		if len(openAITools) > 0 {
+			toolsJSON, _ := json.Marshal(openAITools)
+			out, _ = sjson.SetRaw(out, "tools", string(toolsJSON))
+		}
+	}
+
+	// Tool choice mapping (Gemini doesn't have direct equivalent, but we can handle it)
+	if toolConfig := root.Get("toolConfig"); toolConfig.Exists() {
+		if functionCallingConfig := toolConfig.Get("functionCallingConfig"); functionCallingConfig.Exists() {
+			mode := functionCallingConfig.Get("mode").String()
+			switch mode {
+			case "NONE":
+				out, _ = sjson.Set(out, "tool_choice", "none")
+			case "AUTO":
+				out, _ = sjson.Set(out, "tool_choice", "auto")
+			case "ANY":
+				out, _ = sjson.Set(out, "tool_choice", "required")
+			}
+		}
+	}
+
+	return out
+}

internal/translator/openai/gemini/openai_gemini_response.go

@@ -0,0 +1,353 @@
+// Package gemini provides response translation functionality for OpenAI to Gemini API.
+// This package handles the conversion of OpenAI Chat Completions API responses into Gemini API-compatible
+// JSON format, transforming streaming events and non-streaming responses into the format
+// expected by Gemini API clients. It supports both streaming and non-streaming modes,
+// handling text content, tool calls, and usage metadata appropriately.
+package gemini
+
+import (
+	"encoding/json"
+	"strings"
+
+	"github.com/tidwall/gjson"
+	"github.com/tidwall/sjson"
+)
+
+// ConvertOpenAIResponseToGeminiParams holds parameters for response conversion
+type ConvertOpenAIResponseToGeminiParams struct {
+	// Tool calls accumulator for streaming
+	ToolCallsAccumulator map[int]*ToolCallAccumulator
+	// Content accumulator for streaming
+	ContentAccumulator strings.Builder
+	// Track if this is the first chunk
+	IsFirstChunk bool
+}
+
+// ToolCallAccumulator holds the state for accumulating tool call data
+type ToolCallAccumulator struct {
+	ID        string
+	Name      string
+	Arguments strings.Builder
+}
+
+// ConvertOpenAIResponseToGemini converts OpenAI Chat Completions streaming response format to Gemini API format.
+// This function processes OpenAI streaming chunks and transforms them into Gemini-compatible JSON responses.
+// It handles text content, tool calls, and usage metadata, outputting responses that match the Gemini API format.
+func ConvertOpenAIResponseToGemini(rawJSON []byte, param *ConvertOpenAIResponseToGeminiParams) []string {
+	// Handle [DONE] marker
+	if strings.TrimSpace(string(rawJSON)) == "[DONE]" {
+		return []string{}
+	}
+
+	root := gjson.ParseBytes(rawJSON)
+
+	// Initialize accumulators if needed
+	if param.ToolCallsAccumulator == nil {
+		param.ToolCallsAccumulator = make(map[int]*ToolCallAccumulator)
+	}
+
+	// Process choices
+	if choices := root.Get("choices"); choices.Exists() && choices.IsArray() {
+		// Handle empty choices array (usage-only chunk)
+		if len(choices.Array()) == 0 {
+			// This is a usage-only chunk, handle usage and return
+			if usage := root.Get("usage"); usage.Exists() {
+				template := `{"candidates":[],"usageMetadata":{}}`
+
+				// Set model if available
+				if model := root.Get("model"); model.Exists() {
+					template, _ = sjson.Set(template, "model", model.String())
+				}
+
+				usageObj := map[string]interface{}{
+					"promptTokenCount":     usage.Get("prompt_tokens").Int(),
+					"candidatesTokenCount": usage.Get("completion_tokens").Int(),
+					"totalTokenCount":      usage.Get("total_tokens").Int(),
+				}
+				template, _ = sjson.Set(template, "usageMetadata", usageObj)
+				return []string{template}
+			}
+			return []string{}
+		}
+
+		var results []string
+
+		choices.ForEach(func(choiceIndex, choice gjson.Result) bool {
+			// Base Gemini response template
+			template := `{"candidates":[{"content":{"parts":[],"role":"model"},"finishReason":"STOP","index":0}]}`
+
+			// Set model if available
+			if model := root.Get("model"); model.Exists() {
+				template, _ = sjson.Set(template, "model", model.String())
+			}
+
+			_ = int(choice.Get("index").Int()) // choiceIdx not used in streaming
+			delta := choice.Get("delta")
+
+			// Handle role (only in first chunk)
+			if role := delta.Get("role"); role.Exists() && param.IsFirstChunk {
+				// OpenAI assistant -> Gemini model
+				if role.String() == "assistant" {
+					template, _ = sjson.Set(template, "candidates.0.content.role", "model")
+				}
+				param.IsFirstChunk = false
+				results = append(results, template)
+				return true
+			}
+
+			// Handle content delta
+			if content := delta.Get("content"); content.Exists() && content.String() != "" {
+				contentText := content.String()
+				param.ContentAccumulator.WriteString(contentText)
+
+				// Create text part for this delta
+				parts := []interface{}{
+					map[string]interface{}{
+						"text": contentText,
+					},
+				}
+				template, _ = sjson.Set(template, "candidates.0.content.parts", parts)
+				results = append(results, template)
+				return true
+			}
+
+			// Handle tool calls delta
+			if toolCalls := delta.Get("tool_calls"); toolCalls.Exists() && toolCalls.IsArray() {
+				toolCalls.ForEach(func(_, toolCall gjson.Result) bool {
+					toolIndex := int(toolCall.Get("index").Int())
+					toolID := toolCall.Get("id").String()
+					toolType := toolCall.Get("type").String()
+
+					if toolType == "function" {
+						function := toolCall.Get("function")
+						functionName := function.Get("name").String()
+						functionArgs := function.Get("arguments").String()
+
+						// Initialize accumulator if needed
+						if _, exists := param.ToolCallsAccumulator[toolIndex]; !exists {
+							param.ToolCallsAccumulator[toolIndex] = &ToolCallAccumulator{
+								ID:   toolID,
+								Name: functionName,
+							}
+						}
+
+						// Update ID if provided
+						if toolID != "" {
+							param.ToolCallsAccumulator[toolIndex].ID = toolID
+						}
+
+						// Update name if provided
+						if functionName != "" {
+							param.ToolCallsAccumulator[toolIndex].Name = functionName
+						}
+
+						// Accumulate arguments
+						if functionArgs != "" {
+							param.ToolCallsAccumulator[toolIndex].Arguments.WriteString(functionArgs)
+						}
+					}
+					return true
+				})
+
+				// Don't output anything for tool call deltas - wait for completion
+				return true
+			}
+
+			// Handle finish reason
+			if finishReason := choice.Get("finish_reason"); finishReason.Exists() {
+				geminiFinishReason := mapOpenAIFinishReasonToGemini(finishReason.String())
+				template, _ = sjson.Set(template, "candidates.0.finishReason", geminiFinishReason)
+
+				// If we have accumulated tool calls, output them now
+				if len(param.ToolCallsAccumulator) > 0 {
+					var parts []interface{}
+					for _, accumulator := range param.ToolCallsAccumulator {
+						argsStr := accumulator.Arguments.String()
+						var argsMap map[string]interface{}
+
+						if argsStr != "" && argsStr != "{}" {
+							// Handle malformed JSON by trying to fix common issues
+							fixedArgs := argsStr
+							// Fix unquoted keys and values (common in the sample)
+							if strings.Contains(fixedArgs, "北京") && !strings.Contains(fixedArgs, "\"北京\"") {
+								fixedArgs = strings.ReplaceAll(fixedArgs, "北京", "\"北京\"")
+							}
+							if strings.Contains(fixedArgs, "celsius") && !strings.Contains(fixedArgs, "\"celsius\"") {
+								fixedArgs = strings.ReplaceAll(fixedArgs, "celsius", "\"celsius\"")
+							}
+
+							if err := json.Unmarshal([]byte(fixedArgs), &argsMap); err != nil {
+								// If still fails, try to parse as raw string
+								if err2 := json.Unmarshal([]byte("\""+argsStr+"\""), &argsMap); err2 != nil {
+									// Last resort: use empty object
+									argsMap = map[string]interface{}{}
+								}
+							}
+						} else {
+							argsMap = map[string]interface{}{}
+						}
+
+						functionCallPart := map[string]interface{}{
+							"functionCall": map[string]interface{}{
+								"name": accumulator.Name,
+								"args": argsMap,
+							},
+						}
+						parts = append(parts, functionCallPart)
+					}
+
+					if len(parts) > 0 {
+						template, _ = sjson.Set(template, "candidates.0.content.parts", parts)
+					}
+
+					// Clear accumulators
+					param.ToolCallsAccumulator = make(map[int]*ToolCallAccumulator)
+				}
+
+				results = append(results, template)
+				return true
+			}
+
+			// Handle usage information
+			if usage := root.Get("usage"); usage.Exists() {
+				usageObj := map[string]interface{}{
+					"promptTokenCount":     usage.Get("prompt_tokens").Int(),
+					"candidatesTokenCount": usage.Get("completion_tokens").Int(),
+					"totalTokenCount":      usage.Get("total_tokens").Int(),
+				}
+				template, _ = sjson.Set(template, "usageMetadata", usageObj)
+				results = append(results, template)
+				return true
+			}
+
+			return true
+		})
+		return results
+	}
+	return []string{}
+}
+
+// mapOpenAIFinishReasonToGemini maps OpenAI finish reasons to Gemini finish reasons
+func mapOpenAIFinishReasonToGemini(openAIReason string) string {
+	switch openAIReason {
+	case "stop":
+		return "STOP"
+	case "length":
+		return "MAX_TOKENS"
+	case "tool_calls":
+		return "STOP" // Gemini doesn't have a specific tool_calls finish reason
+	case "content_filter":
+		return "SAFETY"
+	default:
+		return "STOP"
+	}
+}
+
+// ConvertOpenAINonStreamResponseToGemini converts OpenAI non-streaming response to Gemini format
+func ConvertOpenAINonStreamResponseToGemini(rawJSON []byte) string {
+	root := gjson.ParseBytes(rawJSON)
+
+	// Base Gemini response template
+	out := `{"candidates":[{"content":{"parts":[],"role":"model"},"finishReason":"STOP","index":0}]}`
+
+	// Set model if available
+	if model := root.Get("model"); model.Exists() {
+		out, _ = sjson.Set(out, "model", model.String())
+	}
+
+	// Process choices
+	if choices := root.Get("choices"); choices.Exists() && choices.IsArray() {
+		choices.ForEach(func(choiceIndex, choice gjson.Result) bool {
+			choiceIdx := int(choice.Get("index").Int())
+			message := choice.Get("message")
+
+			// Set role
+			if role := message.Get("role"); role.Exists() {
+				if role.String() == "assistant" {
+					out, _ = sjson.Set(out, "candidates.0.content.role", "model")
+				}
+			}
+
+			var parts []interface{}
+
+			// Handle content first
+			if content := message.Get("content"); content.Exists() && content.String() != "" {
+				parts = append(parts, map[string]interface{}{
+					"text": content.String(),
+				})
+			}
+
+			// Handle tool calls
+			if toolCalls := message.Get("tool_calls"); toolCalls.Exists() && toolCalls.IsArray() {
+				toolCalls.ForEach(func(_, toolCall gjson.Result) bool {
+					if toolCall.Get("type").String() == "function" {
+						function := toolCall.Get("function")
+						functionName := function.Get("name").String()
+						functionArgs := function.Get("arguments").String()
+
+						// Parse arguments
+						var argsMap map[string]interface{}
+						if functionArgs != "" && functionArgs != "{}" {
+							// Handle malformed JSON by trying to fix common issues
+							fixedArgs := functionArgs
+							// Fix unquoted keys and values (common in the sample)
+							if strings.Contains(fixedArgs, "北京") && !strings.Contains(fixedArgs, "\"北京\"") {
+								fixedArgs = strings.ReplaceAll(fixedArgs, "北京", "\"北京\"")
+							}
+							if strings.Contains(fixedArgs, "celsius") && !strings.Contains(fixedArgs, "\"celsius\"") {
+								fixedArgs = strings.ReplaceAll(fixedArgs, "celsius", "\"celsius\"")
+							}
+
+							if err := json.Unmarshal([]byte(fixedArgs), &argsMap); err != nil {
+								// If still fails, try to parse as raw string
+								if err2 := json.Unmarshal([]byte("\""+functionArgs+"\""), &argsMap); err2 != nil {
+									// Last resort: use empty object
+									argsMap = map[string]interface{}{}
+								}
+							}
+						} else {
+							argsMap = map[string]interface{}{}
+						}
+
+						functionCallPart := map[string]interface{}{
+							"functionCall": map[string]interface{}{
+								"name": functionName,
+								"args": argsMap,
+							},
+						}
+						parts = append(parts, functionCallPart)
+					}
+					return true
+				})
+			}
+
+			// Set parts
+			if len(parts) > 0 {
+				out, _ = sjson.Set(out, "candidates.0.content.parts", parts)
+			}
+
+			// Handle finish reason
+			if finishReason := choice.Get("finish_reason"); finishReason.Exists() {
+				geminiFinishReason := mapOpenAIFinishReasonToGemini(finishReason.String())
+				out, _ = sjson.Set(out, "candidates.0.finishReason", geminiFinishReason)
+			}
+
+			// Set index
+			out, _ = sjson.Set(out, "candidates.0.index", choiceIdx)
+
+			return true
+		})
+	}
+
+	// Handle usage information
+	if usage := root.Get("usage"); usage.Exists() {
+		usageObj := map[string]interface{}{
+			"promptTokenCount":     usage.Get("prompt_tokens").Int(),
+			"candidatesTokenCount": usage.Get("completion_tokens").Int(),
+			"totalTokenCount":      usage.Get("total_tokens").Int(),
+		}
+		out, _ = sjson.Set(out, "usageMetadata", usageObj)
+	}
+
+	return out
+}

internal/util/provider.go

@@ -23,6 +23,8 @@ func GetProviderName(modelName string) string {
 		return "gpt"
 	} else if strings.HasPrefix(modelName, "claude") {
 		return "claude"
+	} else if strings.HasPrefix(modelName, "qwen") {
+		return "qwen"
 	}
 	return "unknow"
 }

internal/watcher/watcher.go

@@ -19,6 +19,7 @@ import (
 	"github.com/luispater/CLIProxyAPI/internal/auth/claude"
 	"github.com/luispater/CLIProxyAPI/internal/auth/codex"
 	"github.com/luispater/CLIProxyAPI/internal/auth/gemini"
+	"github.com/luispater/CLIProxyAPI/internal/auth/qwen"
 	"github.com/luispater/CLIProxyAPI/internal/client"
 	"github.com/luispater/CLIProxyAPI/internal/config"
 	"github.com/luispater/CLIProxyAPI/internal/util"
@@ -281,6 +282,20 @@ func (w *Watcher) reloadClients() {
 				} else {
 					log.Errorf("  failed to decode token file %s: %v", path, err)
 				}
+			} else if tokenType == "qwen" {
+				var ts qwen.QwenTokenStorage
+				if err = json.Unmarshal(data, &ts); err == nil {
+					// For each valid token, create an authenticated client
+					log.Debugf("  initializing qwen authentication for token from %s...", filepath.Base(path))
+					qwenClient := client.NewQwenClient(cfg, &ts)
+					log.Debugf("  authentication successful for token from %s", filepath.Base(path))
+
+					// Add the new client to the pool
+					newClients = append(newClients, qwenClient)
+					successfulAuthCount++
+				} else {
+					log.Errorf("  failed to decode token file %s: %v", path, err)
+				}
 			}
 		}
 		return nil