feat: add AzureNoRemoveDotTime constant and update channel handling #1044

- Introduced a new constant `AzureNoRemoveDotTime` in `constant/azure.go` to manage model name formatting for channels created after May 10, 2025.
- Updated `distributor.go` to set `channel_create_time` in the context.
- Modified `adaptor.go` to conditionally remove dots from model names based on the channel creation time.
- Enhanced `relay_info.go` to include `ChannelCreateTime` in the `RelayInfo` struct.
- Updated English localization files to reflect changes in model name handling for new channels.

README.en.md

@@ -1,10 +1,13 @@
+<p align="right">
+   <a href="./README.md">中文</a> | <strong>English</strong>
+</p>
 <div align="center">
 
 ![new-api](/web/public/logo.png)
 
 # New API
 
-🍥 Next Generation LLM Gateway and AI Asset Management System
+🍥 Next-Generation Large Model Gateway and AI Asset Management System
 
 <a href="https://trendshift.io/repositories/8227" target="_blank"><img src="https://trendshift.io/api/badge/repositories/8227" alt="Calcium-Ion%2Fnew-api | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
 
@@ -33,171 +36,155 @@
 > This is an open-source project developed based on [One API](https://github.com/songquanpeng/one-api)
 
 > [!IMPORTANT]  
-> - Users must comply with OpenAI's [Terms of Use](https://openai.com/policies/terms-of-use) and relevant laws and regulations. Not to be used for illegal purposes.
-> - This project is for personal learning only. Stability is not guaranteed, and no technical support is provided.
+> - This project is for personal learning purposes only, with no guarantee of stability or technical support.
+> - Users must comply with OpenAI's [Terms of Use](https://openai.com/policies/terms-of-use) and **applicable laws and regulations**, and must not use it for illegal purposes.
+> - According to the [《Interim Measures for the Management of Generative Artificial Intelligence Services》](http://www.cac.gov.cn/2023-07/13/c_1690898327029107.htm), please do not provide any unregistered generative AI services to the public in China.
+
+## 📚 Documentation
+
+For detailed documentation, please visit our official Wiki: [https://docs.newapi.pro/](https://docs.newapi.pro/)
 
 ## ✨ Key Features
 
-1. 🎨 New UI interface (some interfaces pending update)
-2. 🌍 Multi-language support (work in progress)
-3. 🎨 Added [Midjourney-Proxy(Plus)](https://github.com/novicezk/midjourney-proxy) interface support, [Integration Guide](Midjourney.md)
-4. 💰 Online recharge support, configurable in system settings:
-    - [x] EasyPay
-5. 🔍 Query usage quota by key:
-    - Works with [neko-api-key-tool](https://github.com/Calcium-Ion/neko-api-key-tool)
-6. 📑 Configurable items per page in pagination
-7. 🔄 Compatible with original One API database (one-api.db)
-8. 💵 Support per-request model pricing, configurable in System Settings - Operation Settings
-9. ⚖️ Support channel **weighted random** selection
-10. 📈 Data dashboard (console)
-11. 🔒 Configurable model access per token
-12. 🤖 Telegram authorization login support:
-    1. System Settings - Configure Login Registration - Allow Telegram Login
-    2. Send /setdomain command to [@Botfather](https://t.me/botfather)
-    3. Select your bot, then enter http(s)://your-website/login
-    4. Telegram Bot name is the bot username without @
-13. 🎵 Added [Suno API](https://github.com/Suno-API/Suno-API) interface support, [Integration Guide](Suno.md)
-14. 🔄 Support for Rerank models, compatible with Cohere and Jina, can integrate with Dify, [Integration Guide](Rerank.md)
-15. ⚡ **[OpenAI Realtime API](https://platform.openai.com/docs/guides/realtime/integration)** - Support for OpenAI's Realtime API, including Azure channels
-16. 🧠 Support for setting reasoning effort through model name suffix:
-    - Add suffix `-high` to set high reasoning effort (e.g., `o3-mini-high`)
-    - Add suffix `-medium` to set medium reasoning effort
-    - Add suffix `-low` to set low reasoning effort
-17. 🔄 Thinking to content option `thinking_to_content` in `Channel->Edit->Channel Extra Settings`, default is `false`, when `true`, the `reasoning_content` of the thinking content will be converted to `<think>` tags and concatenated to the content returned.
-18. 🔄 Model rate limit, support setting total request limit and successful request limit in `System Settings->Rate Limit Settings`
-19. 💰 Cache billing support, when enabled can charge a configurable ratio for cache hits:
-    1. Set `Prompt Cache Ratio` in `System Settings -> Operation Settings`
-    2. Set `Prompt Cache Ratio` in channel settings, range 0-1 (e.g., 0.5 means 50% charge on cache hits)
+New API offers a wide range of features, please refer to [Features Introduction](https://docs.newapi.pro/wiki/features-introduction) for details:
+
+1. 🎨 Brand new UI interface
+2. 🌍 Multi-language support
+3. 💰 Online recharge functionality (YiPay)
+4. 🔍 Support for querying usage quotas with keys (works with [neko-api-key-tool](https://github.com/Calcium-Ion/neko-api-key-tool))
+5. 🔄 Compatible with the original One API database
+6. 💵 Support for pay-per-use model pricing
+7. ⚖️ Support for weighted random channel selection
+8. 📈 Data dashboard (console)
+9. 🔒 Token grouping and model restrictions
+10. 🤖 Support for more authorization login methods (LinuxDO, Telegram, OIDC)
+11. 🔄 Support for Rerank models (Cohere and Jina), [API Documentation](https://docs.newapi.pro/api/jinaai-rerank)
+12. ⚡ Support for OpenAI Realtime API (including Azure channels), [API Documentation](https://docs.newapi.pro/api/openai-realtime)
+13. ⚡ Support for Claude Messages format, [API Documentation](https://docs.newapi.pro/api/anthropic-chat)
+14. Support for entering chat interface via /chat2link route
+15. 🧠 Support for setting reasoning effort through model name suffixes:
+    1. OpenAI o-series models
+        - Add `-high` suffix for high reasoning effort (e.g.: `o3-mini-high`)
+        - Add `-medium` suffix for medium reasoning effort (e.g.: `o3-mini-medium`)
+        - Add `-low` suffix for low reasoning effort (e.g.: `o3-mini-low`)
+    2. Claude thinking models
+        - Add `-thinking` suffix to enable thinking mode (e.g.: `claude-3-7-sonnet-20250219-thinking`)
+16. 🔄 Thinking-to-content functionality
+17. 🔄 Model rate limiting for users
+18. 💰 Cache billing support, which allows billing at a set ratio when cache is hit:
+    1. Set the `Prompt Cache Ratio` option in `System Settings-Operation Settings`
+    2. Set `Prompt Cache Ratio` in the channel, range 0-1, e.g., setting to 0.5 means billing at 50% when cache is hit
     3. Supported channels:
         - [x] OpenAI
-        - [x] Azure 
+        - [x] Azure
         - [x] DeepSeek
-        - [ ] Claude
+        - [x] Claude
 
 ## Model Support
-This version additionally supports:
-1. Third-party model **gpts** (gpt-4-gizmo-*)
-2. [Midjourney-Proxy(Plus)](https://github.com/novicezk/midjourney-proxy) interface, [Integration Guide](Midjourney.md)
-3. Custom channels with full API URL support
-4. [Suno API](https://github.com/Suno-API/Suno-API) interface, [Integration Guide](Suno.md)
-5. Rerank models, supporting [Cohere](https://cohere.ai/) and [Jina](https://jina.ai/), [Integration Guide](Rerank.md)
-6. Dify
 
-You can add custom models gpt-4-gizmo-* in channels. These are third-party models and cannot be called with official OpenAI keys.
+This version supports multiple models, please refer to [API Documentation-Relay Interface](https://docs.newapi.pro/api) for details:
 
-## Additional Configurations Beyond One API
-- `GENERATE_DEFAULT_TOKEN`: Generate initial token for new users, default `false`
-- `STREAMING_TIMEOUT`: Set streaming response timeout, default 60 seconds
-- `DIFY_DEBUG`: Output workflow and node info to client for Dify channel, default `true`
-- `FORCE_STREAM_OPTION`: Override client stream_options parameter, default `true`
-- `GET_MEDIA_TOKEN`: Calculate image tokens, default `true`
-- `GET_MEDIA_TOKEN_NOT_STREAM`: Calculate image tokens in non-stream mode, default `true`
-- `UPDATE_TASK`: Update async tasks (Midjourney, Suno), default `true`
-- `GEMINI_MODEL_MAP`: Specify Gemini model versions (v1/v1beta), format: "model:version", comma-separated
-- `COHERE_SAFETY_SETTING`: Cohere model [safety settings](https://docs.cohere.com/docs/safety-modes#overview), options: `NONE`, `CONTEXTUAL`, `STRICT`, default `NONE`
-- `GEMINI_VISION_MAX_IMAGE_NUM`: Gemini model maximum image number, default `16`, set to `-1` to disable
-- `MAX_FILE_DOWNLOAD_MB`: Maximum file download size in MB, default `20`
-- `CRYPTO_SECRET`: Encryption key for encrypting database content
-- `AZURE_DEFAULT_API_VERSION`: Azure channel default API version, if not specified in channel settings, use this version, default `2024-12-01-preview`
-- `NOTIFICATION_LIMIT_DURATION_MINUTE`: Duration of notification limit in minutes, default `10`
-- `NOTIFY_LIMIT_COUNT`: Maximum number of user notifications in the specified duration, default `2`
+1. Third-party models **gpts** (gpt-4-gizmo-*)
+2. Third-party channel [Midjourney-Proxy(Plus)](https://github.com/novicezk/midjourney-proxy) interface, [API Documentation](https://docs.newapi.pro/api/midjourney-proxy-image)
+3. Third-party channel [Suno API](https://github.com/Suno-API/Suno-API) interface, [API Documentation](https://docs.newapi.pro/api/suno-music)
+4. Custom channels, supporting full call address input
+5. Rerank models ([Cohere](https://cohere.ai/) and [Jina](https://jina.ai/)), [API Documentation](https://docs.newapi.pro/api/jinaai-rerank)
+6. Claude Messages format, [API Documentation](https://docs.newapi.pro/api/anthropic-chat)
+7. Dify, currently only supports chatflow
+
+## Environment Variable Configuration
+
+For detailed configuration instructions, please refer to [Installation Guide-Environment Variables Configuration](https://docs.newapi.pro/installation/environment-variables):
+
+- `GENERATE_DEFAULT_TOKEN`: Whether to generate initial tokens for newly registered users, default is `false`
+- `STREAMING_TIMEOUT`: Streaming response timeout, default is 60 seconds
+- `DIFY_DEBUG`: Whether to output workflow and node information for Dify channels, default is `true`
+- `FORCE_STREAM_OPTION`: Whether to override client stream_options parameter, default is `true`
+- `GET_MEDIA_TOKEN`: Whether to count image tokens, default is `true`
+- `GET_MEDIA_TOKEN_NOT_STREAM`: Whether to count image tokens in non-streaming cases, default is `true`
+- `UPDATE_TASK`: Whether to update asynchronous tasks (Midjourney, Suno), default is `true`
+- `COHERE_SAFETY_SETTING`: Cohere model safety settings, options are `NONE`, `CONTEXTUAL`, `STRICT`, default is `NONE`
+- `GEMINI_VISION_MAX_IMAGE_NUM`: Maximum number of images for Gemini models, default is `16`
+- `MAX_FILE_DOWNLOAD_MB`: Maximum file download size in MB, default is `20`
+- `CRYPTO_SECRET`: Encryption key used for encrypting database content
+- `AZURE_DEFAULT_API_VERSION`: Azure channel default API version, default is `2024-12-01-preview`
+- `NOTIFICATION_LIMIT_DURATION_MINUTE`: Notification limit duration, default is `10` minutes
+- `NOTIFY_LIMIT_COUNT`: Maximum number of user notifications within the specified duration, default is `2`
 
 ## Deployment
 
+For detailed deployment guides, please refer to [Installation Guide-Deployment Methods](https://docs.newapi.pro/installation):
+
 > [!TIP]
-> Latest Docker image: `calciumion/new-api:latest`  
-> Default account: root, password: 123456
+> Latest Docker image: `calciumion/new-api:latest`
 
-### Multi-Server Deployment
-- Must set `SESSION_SECRET` environment variable, otherwise login state will not be consistent across multiple servers.
-- If using a public Redis, must set `CRYPTO_SECRET` environment variable, otherwise Redis content will not be able to be obtained in multi-server deployment.
+### Multi-machine Deployment Considerations
+- Environment variable `SESSION_SECRET` must be set, otherwise login status will be inconsistent across multiple machines
+- If sharing Redis, `CRYPTO_SECRET` must be set, otherwise Redis content cannot be accessed across multiple machines
 
-### Requirements
-- Local database (default): SQLite (Docker deployment must mount `/data` directory)
-- Remote database: MySQL >= 5.7.8, PgSQL >= 9.6
+### Deployment Requirements
+- Local database (default): SQLite (Docker deployment must mount the `/data` directory)
+- Remote database: MySQL version >= 5.7.8, PgSQL version >= 9.6
 
-### Deployment with BT Panel
-Install BT Panel (**version 9.2.0** or above) from [BT Panel Official Website](https://www.bt.cn/new/download.html), choose the stable version script to download and install.  
-After installation, log in to BT Panel and click Docker in the menu bar. First-time access will prompt to install Docker service. Click Install Now and follow the prompts to complete installation.  
-After installation, find **New-API** in the app store, click install, configure basic options to complete installation.  
-[Pictorial Guide](BT.md)
+### Deployment Methods
 
-### Docker Deployment
+#### Using BaoTa Panel Docker Feature
+Install BaoTa Panel (version **9.2.0** or above), find **New-API** in the application store and install it.
+[Tutorial with images](./docs/BT.md)
 
-### Using Docker Compose (Recommended)
+#### Using Docker Compose (Recommended)
 ```shell
-# Clone project
+# Download the project
 git clone https://github.com/Calcium-Ion/new-api.git
 cd new-api
 # Edit docker-compose.yml as needed
-# nano docker-compose.yml
-# vim docker-compose.yml
 # Start
 docker-compose up -d
 ```
 
-#### Update Version
+#### Using Docker Image Directly
 ```shell
-docker-compose pull
-docker-compose up -d
-```
-
-### Direct Docker Image Usage
-```shell
-# SQLite deployment:
+# Using SQLite
 docker run --name new-api -d --restart always -p 3000:3000 -e TZ=Asia/Shanghai -v /home/ubuntu/data/new-api:/data calciumion/new-api:latest
 
-# MySQL deployment (add -e SQL_DSN="root:123456@tcp(localhost:3306)/oneapi"), modify database connection parameters as needed
-# Example:
+# Using MySQL
 docker run --name new-api -d --restart always -p 3000:3000 -e SQL_DSN="root:123456@tcp(localhost:3306)/oneapi" -e TZ=Asia/Shanghai -v /home/ubuntu/data/new-api:/data calciumion/new-api:latest
 ```
 
-#### Update Version
-```shell
-# Pull the latest image
-docker pull calciumion/new-api:latest
-# Stop and remove the old container
-docker stop new-api
-docker rm new-api
-# Run the new container with the same parameters as before
-docker run --name new-api -d --restart always -p 3000:3000 -e TZ=Asia/Shanghai -v /home/ubuntu/data/new-api:/data calciumion/new-api:latest
-```
+## Channel Retry and Cache
+Channel retry functionality has been implemented, you can set the number of retries in `Settings->Operation Settings->General Settings`. It is **recommended to enable caching**.
 
-Alternatively, you can use Watchtower for automatic updates (not recommended, may cause database incompatibility):
-```shell
-docker run --rm -v /var/run/docker.sock:/var/run/docker.sock containrrr/watchtower -cR
-```
+### Cache Configuration Method
+1. `REDIS_CONN_STRING`: Set Redis as cache
+2. `MEMORY_CACHE_ENABLED`: Enable memory cache (no need to set manually if Redis is set)
 
-## Channel Retry
-Channel retry is implemented, configurable in `Settings->Operation Settings->General Settings`. **Cache recommended**.  
-If retry is enabled, the system will automatically use the next priority channel for the same request after a failed request.
+## API Documentation
 
-### Cache Configuration
-1. `REDIS_CONN_STRING`: Use Redis as cache
-    + Example: `REDIS_CONN_STRING=redis://default:redispw@localhost:49153`
-2. `MEMORY_CACHE_ENABLED`: Enable memory cache, default `false`
-    + Example: `MEMORY_CACHE_ENABLED=true`
+For detailed API documentation, please refer to [API Documentation](https://docs.newapi.pro/api):
 
-### Why Some Errors Don't Retry
-Error codes 400, 504, 524 won't retry
-### To Enable Retry for 400
-In `Channel->Edit`, set `Status Code Override` to:
-```json
-{
-  "400": "500"
-}
-```
-
-## Integration Guides
-- [Midjourney Integration](Midjourney.md)
-- [Suno Integration](Suno.md)
+- [Chat API](https://docs.newapi.pro/api/openai-chat)
+- [Image API](https://docs.newapi.pro/api/openai-image)
+- [Rerank API](https://docs.newapi.pro/api/jinaai-rerank)
+- [Realtime API](https://docs.newapi.pro/api/openai-realtime)
+- [Claude Chat API (messages)](https://docs.newapi.pro/api/anthropic-chat)
 
 ## Related Projects
 - [One API](https://github.com/songquanpeng/one-api): Original project
 - [Midjourney-Proxy](https://github.com/novicezk/midjourney-proxy): Midjourney interface support
-- [chatnio](https://github.com/Deeptrain-Community/chatnio): Next-gen AI B/C solution
-- [neko-api-key-tool](https://github.com/Calcium-Ion/neko-api-key-tool): Query usage quota by key
+- [chatnio](https://github.com/Deeptrain-Community/chatnio): Next-generation AI one-stop B/C-end solution
+- [neko-api-key-tool](https://github.com/Calcium-Ion/neko-api-key-tool): Query usage quota with key
+
+Other projects based on New API:
+- [new-api-horizon](https://github.com/Calcium-Ion/new-api-horizon): High-performance optimized version of New API
+- [VoAPI](https://github.com/VoAPI/VoAPI): Frontend beautified version based on New API
+
+## Help and Support
+
+If you have any questions, please refer to [Help and Support](https://docs.newapi.pro/support):
+- [Community Interaction](https://docs.newapi.pro/support/community-interaction)
+- [Issue Feedback](https://docs.newapi.pro/support/feedback-issues)
+- [FAQ](https://docs.newapi.pro/support/faq)
 
 ## 🌟 Star History
 
-[![Star History Chart](https://api.star-history.com/svg?repos=Calcium-Ion/new-api&type=Date)](https://star-history.com/#Calcium-Ion/new-api&Date)
+[![Star History Chart](https://api.star-history.com/svg?repos=Calcium-Ion/new-api&type=Date)](https://star-history.com/#Calcium-Ion/new-api&Date)

README.md

@@ -130,7 +130,7 @@ New API提供了丰富的功能，详细特性请参考[特性说明](https://do
 
 #### 使用宝塔面板Docker功能部署
 安装宝塔面板（**9.2.0版本**及以上），在应用商店中找到**New-API**安装即可。
-[图文教程](BT.md)
+[图文教程](./docs/BT.md)
 
 #### 使用Docker Compose部署（推荐）
 ```shell

constant/azure.go

@@ -0,0 +1,5 @@
+package constant
+
+import "time"
+
+var AzureNoRemoveDotTime = time.Date(2025, time.May, 10, 0, 0, 0, 0, time.UTC).Unix()

constant/env.go

@@ -16,6 +16,7 @@ var GeminiVisionMaxImageNum int
 var NotifyLimitCount int
 var NotificationLimitDurationMinute int
 var GenerateDefaultToken bool
+var ErrorLogEnabled bool
 
 //var GeminiModelMap = map[string]string{
 //	"gemini-1.0-pro": "v1",
@@ -36,6 +37,8 @@ func InitEnv() {
 	NotificationLimitDurationMinute = common.GetEnvOrDefault("NOTIFICATION_LIMIT_DURATION_MINUTE", 10)
 	// GenerateDefaultToken 是否生成初始令牌，默认关闭。
 	GenerateDefaultToken = common.GetEnvOrDefaultBool("GENERATE_DEFAULT_TOKEN", false)
+	// 是否启用错误日志
+	ErrorLogEnabled = common.GetEnvOrDefaultBool("ERROR_LOG_ENABLED", false)
 
 	//modelVersionMapStr := strings.TrimSpace(os.Getenv("GEMINI_MODEL_MAP"))
 	//if modelVersionMapStr == "" {

controller/relay.go

@@ -4,12 +4,11 @@ import (
 	"bytes"
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
-	"github.com/gorilla/websocket"
 	"io"
 	"log"
 	"net/http"
 	"one-api/common"
+	constant2 "one-api/constant"
 	"one-api/dto"
 	"one-api/middleware"
 	"one-api/model"
@@ -19,6 +18,9 @@ import (
 	"one-api/relay/helper"
 	"one-api/service"
 	"strings"
+
+	"github.com/gin-gonic/gin"
+	"github.com/gorilla/websocket"
 )
 
 func relayHandler(c *gin.Context, relayMode int) *dto.OpenAIErrorWithStatusCode {
@@ -36,11 +38,13 @@ func relayHandler(c *gin.Context, relayMode int) *dto.OpenAIErrorWithStatusCode
 		err = relay.RerankHelper(c, relayMode)
 	case relayconstant.RelayModeEmbeddings:
 		err = relay.EmbeddingHelper(c)
+	case relayconstant.RelayModeResponses:
+		err = relay.ResponsesHelper(c)
 	default:
 		err = relay.TextHelper(c)
 	}
 
-	if err != nil {
+	if constant2.ErrorLogEnabled && err != nil {
 		// 保存错误日志到mysql中
 		userId := c.GetInt("id")
 		tokenName := c.GetString("token_name")

controller/user.go

@@ -592,7 +592,14 @@ func UpdateSelf(c *gin.Context) {
 		user.Password = "" // rollback to what it should be
 		cleanUser.Password = ""
 	}
-	updatePassword := user.Password != ""
+	updatePassword, err := checkUpdatePassword(user.OriginalPassword, user.Password, cleanUser.Id)
+	if err != nil {
+		c.JSON(http.StatusOK, gin.H{
+			"success": false,
+			"message": err.Error(),
+		})
+		return
+	}
 	if err := cleanUser.Update(updatePassword); err != nil {
 		c.JSON(http.StatusOK, gin.H{
 			"success": false,
@@ -608,6 +615,23 @@ func UpdateSelf(c *gin.Context) {
 	return
 }
 
+func checkUpdatePassword(originalPassword string, newPassword string, userId int) (updatePassword bool, err error) {
+	var currentUser *model.User
+	currentUser, err = model.GetUserById(userId, true)
+	if err != nil {
+		return
+	}
+	if !common.ValidatePasswordAndHash(originalPassword, currentUser.Password) {
+		err = fmt.Errorf("原密码错误")
+		return
+	}
+	if newPassword == "" {
+		return
+	}
+	updatePassword = true
+	return
+}
+
 func DeleteUser(c *gin.Context) {
 	id, err := strconv.Atoi(c.Param("id"))
 	if err != nil {

docker-compose.yml

@@ -15,6 +15,7 @@ services:
       - SQL_DSN=root:123456@tcp(mysql:3306)/new-api  # Point to the mysql service
       - REDIS_CONN_STRING=redis://redis
       - TZ=Asia/Shanghai
+      - ERROR_LOG_ENABLED=true # 是否启用错误日志记录
     #      - TIKTOKEN_CACHE_DIR=./tiktoken_cache  # 如果需要使用tiktoken_cache，请取消注释
     #      - SESSION_SECRET=random_string  # 多机部署时设置，必须修改这个随机字符串！！！！！！！
     #      - NODE_TYPE=slave  # Uncomment for slave node in multi-node deployment

docs/installation/BT.md

@@ -1,3 +1,3 @@
-密钥为环境变量SESSION_SECRET
-
-![8285bba413e770fe9620f1bf9b40d44e](https://github.com/user-attachments/assets/7a6fc03e-c457-45e4-b8f9-184508fc26b0)
+密钥为环境变量SESSION_SECRET
+
+![8285bba413e770fe9620f1bf9b40d44e](https://github.com/user-attachments/assets/7a6fc03e-c457-45e4-b8f9-184508fc26b0)

dto/openai_request.go

@@ -51,6 +51,7 @@ type GeneralOpenAIRequest struct {
 	Dimensions       int               `json:"dimensions,omitempty"`
 	Modalities       any               `json:"modalities,omitempty"`
 	Audio            any               `json:"audio,omitempty"`
+	EnableThinking   any               `json:"enable_thinking,omitempty"` // ali
 	ExtraBody        any               `json:"extra_body,omitempty"`
 }
 
@@ -113,6 +114,7 @@ type MediaContent struct {
 	ImageUrl   any    `json:"image_url,omitempty"`
 	InputAudio any    `json:"input_audio,omitempty"`
 	File       any    `json:"file,omitempty"`
+	VideoUrl   any    `json:"video_url,omitempty"`
 }
 
 func (m *MediaContent) GetImageMedia() *MessageImageUrl {
@@ -157,11 +159,16 @@ type MessageFile struct {
 	FileId   string `json:"file_id,omitempty"`
 }
 
+type MessageVideoUrl struct {
+	Url string `json:"url"`
+}
+
 const (
 	ContentTypeText       = "text"
 	ContentTypeImageURL   = "image_url"
 	ContentTypeInputAudio = "input_audio"
 	ContentTypeFile       = "file"
+	ContentTypeVideoUrl   = "video_url" // 阿里百炼视频识别
 )
 
 func (m *Message) GetPrefix() bool {
@@ -345,6 +352,15 @@ func (m *Message) ParseContent() []MediaContent {
 						}
 					}
 				}
+			case ContentTypeVideoUrl:
+				if videoUrl, ok := contentItem["video_url"].(string); ok {
+					contentList = append(contentList, MediaContent{
+						Type: ContentTypeVideoUrl,
+						VideoUrl: &MessageVideoUrl{
+							Url: videoUrl,
+						},
+					})
+				}
 			}
 		}
 	}
@@ -354,3 +370,49 @@ func (m *Message) ParseContent() []MediaContent {
 	}
 	return contentList
 }
+
+type OpenAIResponsesRequest struct {
+	Model              string               `json:"model"`
+	Input              json.RawMessage      `json:"input,omitempty"`
+	Include            json.RawMessage      `json:"include,omitempty"`
+	Instructions       json.RawMessage      `json:"instructions,omitempty"`
+	MaxOutputTokens    uint                 `json:"max_output_tokens,omitempty"`
+	Metadata           json.RawMessage      `json:"metadata,omitempty"`
+	ParallelToolCalls  bool                 `json:"parallel_tool_calls,omitempty"`
+	PreviousResponseID string               `json:"previous_response_id,omitempty"`
+	Reasoning          *Reasoning           `json:"reasoning,omitempty"`
+	ServiceTier        string               `json:"service_tier,omitempty"`
+	Store              bool                 `json:"store,omitempty"`
+	Stream             bool                 `json:"stream,omitempty"`
+	Temperature        float64              `json:"temperature,omitempty"`
+	Text               json.RawMessage      `json:"text,omitempty"`
+	ToolChoice         json.RawMessage      `json:"tool_choice,omitempty"`
+	Tools              []ResponsesToolsCall `json:"tools,omitempty"`
+	TopP               float64              `json:"top_p,omitempty"`
+	Truncation         string               `json:"truncation,omitempty"`
+	User               string               `json:"user,omitempty"`
+}
+
+type Reasoning struct {
+	Effort  string `json:"effort,omitempty"`
+	Summary string `json:"summary,omitempty"`
+}
+
+type ResponsesToolsCall struct {
+	Type string `json:"type"`
+	// Web Search
+	UserLocation      json.RawMessage `json:"user_location,omitempty"`
+	SearchContextSize string          `json:"search_context_size,omitempty"`
+	// File Search
+	VectorStoreIds []string        `json:"vector_store_ids,omitempty"`
+	MaxNumResults  uint            `json:"max_num_results,omitempty"`
+	Filters        json.RawMessage `json:"filters,omitempty"`
+	// Computer Use
+	DisplayWidth  uint   `json:"display_width,omitempty"`
+	DisplayHeight uint   `json:"display_height,omitempty"`
+	Environment   string `json:"environment,omitempty"`
+	// Function
+	Name        string          `json:"name,omitempty"`
+	Description string          `json:"description,omitempty"`
+	Parameters  json.RawMessage `json:"parameters,omitempty"`
+}

dto/openai_response.go

@@ -1,5 +1,7 @@
 package dto
 
+import "encoding/json"
+
 type SimpleResponse struct {
 	Usage `json:"usage"`
 	Error *OpenAIError `json:"error"`
@@ -191,3 +193,68 @@ type OutputTokenDetails struct {
 	AudioTokens     int `json:"audio_tokens"`
 	ReasoningTokens int `json:"reasoning_tokens"`
 }
+
+type OpenAIResponsesResponse struct {
+	ID                 string               `json:"id"`
+	Object             string               `json:"object"`
+	CreatedAt          int                  `json:"created_at"`
+	Status             string               `json:"status"`
+	Error              *OpenAIError         `json:"error,omitempty"`
+	IncompleteDetails  *IncompleteDetails   `json:"incomplete_details,omitempty"`
+	Instructions       string               `json:"instructions"`
+	MaxOutputTokens    int                  `json:"max_output_tokens"`
+	Model              string               `json:"model"`
+	Output             []ResponsesOutput    `json:"output"`
+	ParallelToolCalls  bool                 `json:"parallel_tool_calls"`
+	PreviousResponseID string               `json:"previous_response_id"`
+	Reasoning          *Reasoning           `json:"reasoning"`
+	Store              bool                 `json:"store"`
+	Temperature        float64              `json:"temperature"`
+	ToolChoice         string               `json:"tool_choice"`
+	Tools              []ResponsesToolsCall `json:"tools"`
+	TopP               float64              `json:"top_p"`
+	Truncation         string               `json:"truncation"`
+	Usage              *Usage               `json:"usage"`
+	User               json.RawMessage      `json:"user"`
+	Metadata           json.RawMessage      `json:"metadata"`
+}
+
+type IncompleteDetails struct {
+	Reasoning string `json:"reasoning"`
+}
+
+type ResponsesOutput struct {
+	Type    string                   `json:"type"`
+	ID      string                   `json:"id"`
+	Status  string                   `json:"status"`
+	Role    string                   `json:"role"`
+	Content []ResponsesOutputContent `json:"content"`
+}
+
+type ResponsesOutputContent struct {
+	Type        string        `json:"type"`
+	Text        string        `json:"text"`
+	Annotations []interface{} `json:"annotations"`
+}
+
+const (
+	BuildInToolWebSearchPreview = "web_search_preview"
+	BuildInToolFileSearch       = "file_search"
+)
+
+const (
+	BuildInCallWebSearchCall = "web_search_call"
+)
+
+const (
+	ResponsesOutputTypeItemAdded = "response.output_item.added"
+	ResponsesOutputTypeItemDone  = "response.output_item.done"
+)
+
+// ResponsesStreamResponse 用于处理 /v1/responses 流式响应
+type ResponsesStreamResponse struct {
+	Type     string                   `json:"type"`
+	Response *OpenAIResponsesResponse `json:"response,omitempty"`
+	Delta    string                   `json:"delta,omitempty"`
+	Item     *ResponsesOutput         `json:"item,omitempty"`
+}

main.go

@@ -80,6 +80,8 @@ func main() {
 	// Initialize options
 	model.InitOptionMap()
 
+	service.InitTokenEncoders()
+
 	if common.RedisEnabled {
 		// for compatibility with old versions
 		common.MemoryCacheEnabled = true
@@ -133,8 +135,6 @@ func main() {
 		common.SysLog("pprof enabled")
 	}
 
-	service.InitTokenEncoders()
-
 	// Initialize HTTP server
 	server := gin.New()
 	server.Use(gin.CustomRecovery(func(c *gin.Context, err any) {

middleware/distributor.go

@@ -213,6 +213,7 @@ func SetupContextForSelectedChannel(c *gin.Context, channel *model.Channel, mode
 	c.Set("channel_id", channel.Id)
 	c.Set("channel_name", channel.Name)
 	c.Set("channel_type", channel.Type)
+	c.Set("channel_create_time", channel.CreatedTime)
 	c.Set("channel_setting", channel.GetSetting())
 	c.Set("param_override", channel.GetParamOverride())
 	if nil != channel.OpenAIOrganization && "" != *channel.OpenAIOrganization {

middleware/model-rate-limit.go

@@ -93,25 +93,27 @@ func redisRateLimitHandler(duration int64, totalMaxCount, successMaxCount int) g
 		}
 
 		//2.检查总请求数限制并记录总请求（当totalMaxCount为0时会自动跳过，使用令牌桶限流器
-		totalKey := fmt.Sprintf("rateLimit:%s", userId)
-		// 初始化
-		tb := limiter.New(ctx, rdb)
-		allowed, err = tb.Allow(
-			ctx,
-			totalKey,
-			limiter.WithCapacity(int64(totalMaxCount)*duration),
-			limiter.WithRate(int64(totalMaxCount)),
-			limiter.WithRequested(duration),
-		)
+		if totalMaxCount > 0 {
+			totalKey := fmt.Sprintf("rateLimit:%s", userId)
+			// 初始化
+			tb := limiter.New(ctx, rdb)
+			allowed, err = tb.Allow(
+				ctx,
+				totalKey,
+				limiter.WithCapacity(int64(totalMaxCount)*duration),
+				limiter.WithRate(int64(totalMaxCount)),
+				limiter.WithRequested(duration),
+			)
 
-		if err != nil {
-			fmt.Println("检查总请求数限制失败:", err.Error())
-			abortWithOpenAiMessage(c, http.StatusInternalServerError, "rate_limit_check_failed")
-			return
-		}
+			if err != nil {
+				fmt.Println("检查总请求数限制失败:", err.Error())
+				abortWithOpenAiMessage(c, http.StatusInternalServerError, "rate_limit_check_failed")
+				return
+			}
 
-		if !allowed {
-			abortWithOpenAiMessage(c, http.StatusTooManyRequests, fmt.Sprintf("您已达到总请求数限制：%d分钟内最多请求%d次，包括失败次数，请检查您的请求是否正确", setting.ModelRequestRateLimitDurationMinutes, totalMaxCount))
+			if !allowed {
+				abortWithOpenAiMessage(c, http.StatusTooManyRequests, fmt.Sprintf("您已达到总请求数限制：%d分钟内最多请求%d次，包括失败次数，请检查您的请求是否正确", setting.ModelRequestRateLimitDurationMinutes, totalMaxCount))
+			}
 		}
 
 		// 4. 处理请求

model/cache.go

@@ -84,9 +84,11 @@ func CacheGetRandomSatisfiedChannel(group string, model string, retry int) (*Cha
 	if !common.MemoryCacheEnabled {
 		return GetRandomSatisfiedChannel(group, model, retry)
 	}
+	
 	channelSyncLock.RLock()
-	defer channelSyncLock.RUnlock()
 	channels := group2model2channels[group][model]
+	channelSyncLock.RUnlock()
+	
 	if len(channels) == 0 {
 		return nil, errors.New("channel not found")
 	}

model/user.go

@@ -18,6 +18,7 @@ type User struct {
 	Id               int            `json:"id"`
 	Username         string         `json:"username" gorm:"unique;index" validate:"max=12"`
 	Password         string         `json:"password" gorm:"not null;" validate:"min=8,max=20"`
+	OriginalPassword string         `json:"original_password" gorm:"-:all"` // this field is only for Password change verification, don't save it to database!
 	DisplayName      string         `json:"display_name" gorm:"index" validate:"max=20"`
 	Role             int            `json:"role" gorm:"type:int;default:1"`   // admin, common
 	Status           int            `json:"status" gorm:"type:int;default:1"` // enabled, disabled

relay/channel/adapter.go

@@ -1,11 +1,12 @@
 package channel
 
 import (
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
 	relaycommon "one-api/relay/common"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor interface {
@@ -18,6 +19,7 @@ type Adaptor interface {
 	ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.EmbeddingRequest) (any, error)
 	ConvertAudioRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.AudioRequest) (io.Reader, error)
 	ConvertImageRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.ImageRequest) (any, error)
+	ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error)
 	DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error)
 	DoResponse(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (usage any, err *dto.OpenAIErrorWithStatusCode)
 	GetModelList() []string

relay/channel/ali/adaptor.go

@@ -3,7 +3,6 @@ package ali
 import (
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
@@ -11,6 +10,8 @@ import (
 	"one-api/relay/channel/openai"
 	relaycommon "one-api/relay/common"
 	"one-api/relay/constant"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor struct {
@@ -79,6 +80,11 @@ func (a *Adaptor) ConvertAudioRequest(c *gin.Context, info *relaycommon.RelayInf
 	return nil, errors.New("not implemented")
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/ali/constants.go

@@ -1,7 +1,12 @@
 package ali
 
 var ModelList = []string{
-	"qwen-turbo", "qwen-plus", "qwen-max", "qwen-max-longcontext",
+	"qwen-turbo",
+	"qwen-plus",
+	"qwen-max",
+	"qwen-max-longcontext",
+	"qwq-32b",
+	"qwen3-235b-a22b",
 	"text-embedding-v1",
 }
 

relay/channel/aws/adaptor.go

@@ -2,13 +2,14 @@ package aws
 
 import (
 	"errors"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
 	"one-api/relay/channel/claude"
 	relaycommon "one-api/relay/common"
 	"one-api/setting/model_setting"
+
+	"github.com/gin-gonic/gin"
 )
 
 const (
@@ -74,6 +75,11 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
 	return nil, errors.New("not implemented")
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return nil, nil
 }

relay/channel/baidu/adaptor.go

@@ -3,7 +3,6 @@ package baidu
 import (
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
@@ -11,6 +10,8 @@ import (
 	relaycommon "one-api/relay/common"
 	"one-api/relay/constant"
 	"strings"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor struct {
@@ -130,6 +131,11 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
 	return baiduEmbeddingRequest, nil
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/baidu_v2/adaptor.go

@@ -3,13 +3,14 @@ package baidu_v2
 import (
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
 	"one-api/relay/channel"
 	"one-api/relay/channel/openai"
 	relaycommon "one-api/relay/common"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor struct {
@@ -60,6 +61,11 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
 	return nil, errors.New("not implemented")
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/claude/adaptor.go

@@ -3,7 +3,6 @@ package claude
 import (
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
@@ -11,6 +10,8 @@ import (
 	relaycommon "one-api/relay/common"
 	"one-api/setting/model_setting"
 	"strings"
+
+	"github.com/gin-gonic/gin"
 )
 
 const (
@@ -84,6 +85,11 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
 	return nil, errors.New("not implemented")
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/cloudflare/adaptor.go

@@ -55,6 +55,11 @@ func (a *Adaptor) ConvertOpenAIRequest(c *gin.Context, info *relaycommon.RelayIn
 	}
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/cohere/adaptor.go

@@ -3,13 +3,14 @@ package cohere
 import (
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
 	"one-api/relay/channel"
 	relaycommon "one-api/relay/common"
 	"one-api/relay/constant"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor struct {
@@ -52,6 +53,11 @@ func (a *Adaptor) ConvertOpenAIRequest(c *gin.Context, info *relaycommon.RelayIn
 	return requestOpenAI2Cohere(*request), nil
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/deepseek/adaptor.go

@@ -3,7 +3,6 @@ package deepseek
 import (
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
@@ -12,6 +11,8 @@ import (
 	relaycommon "one-api/relay/common"
 	"one-api/relay/constant"
 	"strings"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor struct {
@@ -71,6 +72,11 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
 	return nil, errors.New("not implemented")
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/dify/adaptor.go

@@ -3,12 +3,13 @@ package dify
 import (
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
 	"one-api/relay/channel"
 	relaycommon "one-api/relay/common"
+
+	"github.com/gin-gonic/gin"
 )
 
 const (
@@ -86,6 +87,11 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
 	return nil, errors.New("not implemented")
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/gemini/adaptor.go

@@ -155,6 +155,11 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
 	return geminiRequest, nil
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/gemini/relay-gemini.go

@@ -391,6 +391,7 @@ func removeAdditionalPropertiesWithDepth(schema interface{}, depth int) interfac
 	}
 	// 删除所有的title字段
 	delete(v, "title")
+	delete(v, "$schema")
 	// 如果type不为object和array，则直接返回
 	if typeVal, exists := v["type"]; !exists || (typeVal != "object" && typeVal != "array") {
 		return schema
@@ -670,6 +671,7 @@ func GeminiChatStreamHandler(c *gin.Context, resp *http.Response, info *relaycom
 			usage.PromptTokens = geminiResponse.UsageMetadata.PromptTokenCount
 			usage.CompletionTokens = geminiResponse.UsageMetadata.CandidatesTokenCount
 			usage.CompletionTokenDetails.ReasoningTokens = geminiResponse.UsageMetadata.ThoughtsTokenCount
+			usage.TotalTokens = geminiResponse.UsageMetadata.TotalTokenCount
 		}
 		err = helper.ObjectData(c, response)
 		if err != nil {
@@ -690,9 +692,8 @@ func GeminiChatStreamHandler(c *gin.Context, resp *http.Response, info *relaycom
 		}
 	}
 
-	usage.TotalTokens = usage.PromptTokens + usage.CompletionTokens
 	usage.PromptTokensDetails.TextTokens = usage.PromptTokens
-	//usage.CompletionTokenDetails.TextTokens = usage.CompletionTokens
+	usage.CompletionTokens = usage.TotalTokens - usage.PromptTokens
 
 	if info.ShouldIncludeUsage {
 		response = helper.GenerateFinalUsageResponse(id, createAt, info.UpstreamModelName, *usage)
@@ -740,6 +741,7 @@ func GeminiChatHandler(c *gin.Context, resp *http.Response, info *relaycommon.Re
 	}
 
 	usage.CompletionTokenDetails.ReasoningTokens = geminiResponse.UsageMetadata.ThoughtsTokenCount
+	usage.CompletionTokens = usage.TotalTokens - usage.PromptTokens
 
 	fullTextResponse.Usage = usage
 	jsonResponse, err := json.Marshal(fullTextResponse)

relay/channel/jina/adaptor.go

@@ -3,7 +3,6 @@ package jina
 import (
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
@@ -12,6 +11,8 @@ import (
 	relaycommon "one-api/relay/common"
 	"one-api/relay/common_handler"
 	"one-api/relay/constant"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor struct {
@@ -55,6 +56,11 @@ func (a *Adaptor) ConvertOpenAIRequest(c *gin.Context, info *relaycommon.RelayIn
 	return request, nil
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/mistral/adaptor.go

@@ -2,13 +2,14 @@ package mistral
 
 import (
 	"errors"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
 	"one-api/relay/channel"
 	"one-api/relay/channel/openai"
 	relaycommon "one-api/relay/common"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor struct {
@@ -59,6 +60,11 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
 	return nil, errors.New("not implemented")
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/mokaai/adaptor.go

@@ -3,7 +3,6 @@ package mokaai
 import (
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
@@ -11,6 +10,8 @@ import (
 	relaycommon "one-api/relay/common"
 	"one-api/relay/constant"
 	"strings"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor struct {
@@ -74,6 +75,11 @@ func (a *Adaptor) ConvertRerankRequest(c *gin.Context, relayMode int, request dt
 	return nil, nil
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/ollama/adaptor.go

@@ -2,7 +2,6 @@ package ollama
 
 import (
 	"errors"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
@@ -10,6 +9,8 @@ import (
 	"one-api/relay/channel/openai"
 	relaycommon "one-api/relay/common"
 	relayconstant "one-api/relay/constant"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor struct {
@@ -64,6 +65,11 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
 	return requestOpenAI2Embeddings(request), nil
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/openai/adaptor.go

@@ -8,6 +8,7 @@ import (
 	"io"
 	"mime/multipart"
 	"net/http"
+	"net/textproto"
 	"one-api/common"
 	constant2 "one-api/constant"
 	"one-api/dto"
@@ -26,7 +27,6 @@ import (
 	"strings"
 
 	"github.com/gin-gonic/gin"
-	"net/textproto"
 )
 
 type Adaptor struct {
@@ -67,6 +67,9 @@ func (a *Adaptor) GetRequestURL(info *relaycommon.RelayInfo) (string, error) {
 	if info.RelayFormat == relaycommon.RelayFormatClaude {
 		return fmt.Sprintf("%s/v1/chat/completions", info.BaseUrl), nil
 	}
+	if info.RelayMode == constant.RelayModeResponses {
+		return fmt.Sprintf("%s/v1/responses", info.BaseUrl), nil
+	}
 	if info.RelayMode == constant.RelayModeRealtime {
 		if strings.HasPrefix(info.BaseUrl, "https://") {
 			baseUrl := strings.TrimPrefix(info.BaseUrl, "https://")
@@ -89,7 +92,10 @@ func (a *Adaptor) GetRequestURL(info *relaycommon.RelayInfo) (string, error) {
 		requestURL = fmt.Sprintf("%s?api-version=%s", requestURL, apiVersion)
 		task := strings.TrimPrefix(requestURL, "/v1/")
 		model_ := info.UpstreamModelName
-		model_ = strings.Replace(model_, ".", "", -1)
+		// 2025年5月10日后创建的渠道不移除.
+		if info.ChannelCreateTime < constant2.AzureNoRemoveDotTime {
+			model_ = strings.Replace(model_, ".", "", -1)
+		}
 		// https://github.com/songquanpeng/one-api/issues/67
 		requestURL = fmt.Sprintf("/openai/deployments/%s/%s", model_, task)
 		if info.RelayMode == constant.RelayModeRealtime {
@@ -169,7 +175,7 @@ func (a *Adaptor) ConvertOpenAIRequest(c *gin.Context, info *relaycommon.RelayIn
 		info.UpstreamModelName = request.Model
 
 		// o系列模型developer适配（o1-mini除外）
-		if !strings.HasPrefix(request.Model, "o1-mini") {
+		if !strings.HasPrefix(request.Model, "o1-mini") && !strings.HasPrefix(request.Model, "o1-preview") {
 			//修改第一个Message的内容，将system改为developer
 			if len(request.Messages) > 0 && request.Messages[0].Role == "system" {
 				request.Messages[0].Role = "developer"
@@ -380,6 +386,21 @@ func detectImageMimeType(filename string) string {
 	}
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// 模型后缀转换 reasoning effort
+	if strings.HasSuffix(request.Model, "-high") {
+		request.Reasoning.Effort = "high"
+		request.Model = strings.TrimSuffix(request.Model, "-high")
+	} else if strings.HasSuffix(request.Model, "-low") {
+		request.Reasoning.Effort = "low"
+		request.Model = strings.TrimSuffix(request.Model, "-low")
+	} else if strings.HasSuffix(request.Model, "-medium") {
+		request.Reasoning.Effort = "medium"
+		request.Model = strings.TrimSuffix(request.Model, "-medium")
+	}
+	return request, nil
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	if info.RelayMode == constant.RelayModeAudioTranscription ||
 		info.RelayMode == constant.RelayModeAudioTranslation ||
@@ -406,6 +427,12 @@ func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, info *relaycom
 		err, usage = OpenaiHandlerWithUsage(c, resp, info)
 	case constant.RelayModeRerank:
 		err, usage = common_handler.RerankHandler(c, info, resp)
+	case constant.RelayModeResponses:
+		if info.IsStream {
+			err, usage = OaiResponsesStreamHandler(c, resp, info)
+		} else {
+			err, usage = OaiResponsesHandler(c, resp, info)
+		}
 	default:
 		if info.IsStream {
 			err, usage = OaiStreamHandler(c, resp, info)

relay/channel/openai/helper.go

@@ -187,3 +187,10 @@ func handleFinalResponse(c *gin.Context, info *relaycommon.RelayInfo, lastStream
 		}
 	}
 }
+
+func sendResponsesStreamData(c *gin.Context, streamResponse dto.ResponsesStreamResponse, data string) {
+	if data == "" {
+		return
+	}
+	helper.ResponseChunkData(c, streamResponse, data)
+}

relay/channel/openai/relay_responses.go

@@ -0,0 +1,119 @@
+package openai
+
+import (
+	"bytes"
+	"fmt"
+	"io"
+	"net/http"
+	"one-api/common"
+	"one-api/dto"
+	relaycommon "one-api/relay/common"
+	"one-api/relay/helper"
+	"one-api/service"
+	"strings"
+
+	"github.com/gin-gonic/gin"
+)
+
+func OaiResponsesHandler(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (*dto.OpenAIErrorWithStatusCode, *dto.Usage) {
+	// read response body
+	var responsesResponse dto.OpenAIResponsesResponse
+	responseBody, err := io.ReadAll(resp.Body)
+	if err != nil {
+		return service.OpenAIErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
+	}
+	err = resp.Body.Close()
+	if err != nil {
+		return service.OpenAIErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
+	}
+	err = common.DecodeJson(responseBody, &responsesResponse)
+	if err != nil {
+		return service.OpenAIErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+	if responsesResponse.Error != nil {
+		return &dto.OpenAIErrorWithStatusCode{
+			Error: dto.OpenAIError{
+				Message: responsesResponse.Error.Message,
+				Type:    "openai_error",
+				Code:    responsesResponse.Error.Code,
+			},
+			StatusCode: resp.StatusCode,
+		}, nil
+	}
+
+	// reset response body
+	resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
+	// We shouldn't set the header before we parse the response body, because the parse part may fail.
+	// And then we will have to send an error response, but in this case, the header has already been set.
+	// So the httpClient will be confused by the response.
+	// For example, Postman will report error, and we cannot check the response at all.
+	for k, v := range resp.Header {
+		c.Writer.Header().Set(k, v[0])
+	}
+	c.Writer.WriteHeader(resp.StatusCode)
+	// copy response body
+	_, err = io.Copy(c.Writer, resp.Body)
+	if err != nil {
+		common.SysError("error copying response body: " + err.Error())
+	}
+	resp.Body.Close()
+	// compute usage
+	usage := dto.Usage{}
+	usage.PromptTokens = responsesResponse.Usage.InputTokens
+	usage.CompletionTokens = responsesResponse.Usage.OutputTokens
+	usage.TotalTokens = responsesResponse.Usage.TotalTokens
+	// 解析 Tools 用量
+	for _, tool := range responsesResponse.Tools {
+		info.ResponsesUsageInfo.BuiltInTools[tool.Type].CallCount++
+	}
+	return nil, &usage
+}
+
+func OaiResponsesStreamHandler(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (*dto.OpenAIErrorWithStatusCode, *dto.Usage) {
+	if resp == nil || resp.Body == nil {
+		common.LogError(c, "invalid response or response body")
+		return service.OpenAIErrorWrapper(fmt.Errorf("invalid response"), "invalid_response", http.StatusInternalServerError), nil
+	}
+
+	var usage = &dto.Usage{}
+	var responseTextBuilder strings.Builder
+
+	helper.StreamScannerHandler(c, resp, info, func(data string) bool {
+
+		// 检查当前数据是否包含 completed 状态和 usage 信息
+		var streamResponse dto.ResponsesStreamResponse
+		if err := common.DecodeJsonStr(data, &streamResponse); err == nil {
+			sendResponsesStreamData(c, streamResponse, data)
+			switch streamResponse.Type {
+			case "response.completed":
+				usage.PromptTokens = streamResponse.Response.Usage.InputTokens
+				usage.CompletionTokens = streamResponse.Response.Usage.OutputTokens
+				usage.TotalTokens = streamResponse.Response.Usage.TotalTokens
+			case "response.output_text.delta":
+				// 处理输出文本
+				responseTextBuilder.WriteString(streamResponse.Delta)
+			case dto.ResponsesOutputTypeItemDone:
+				// 函数调用处理
+				if streamResponse.Item != nil {
+					switch streamResponse.Item.Type {
+					case dto.BuildInCallWebSearchCall:
+						info.ResponsesUsageInfo.BuiltInTools[dto.BuildInToolWebSearchPreview].CallCount++
+					}
+				}
+			}
+		}
+		return true
+	})
+
+	if usage.CompletionTokens == 0 {
+		// 计算输出文本的 token 数量
+		tempStr := responseTextBuilder.String()
+		if len(tempStr) > 0 {
+			// 非正常结束，使用输出文本的 token 数量
+			completionTokens, _ := service.CountTextToken(tempStr, info.UpstreamModelName)
+			usage.CompletionTokens = completionTokens
+		}
+	}
+
+	return nil, usage
+}

relay/channel/palm/adaptor.go

@@ -3,13 +3,14 @@ package palm
 import (
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
 	"one-api/relay/channel"
 	relaycommon "one-api/relay/common"
 	"one-api/service"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor struct {
@@ -60,6 +61,11 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
 	return nil, errors.New("not implemented")
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/perplexity/adaptor.go

@@ -3,13 +3,14 @@ package perplexity
 import (
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
 	"one-api/relay/channel"
 	"one-api/relay/channel/openai"
 	relaycommon "one-api/relay/common"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor struct {
@@ -63,6 +64,11 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
 	return nil, errors.New("not implemented")
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/siliconflow/adaptor.go

@@ -3,7 +3,6 @@ package siliconflow
 import (
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
@@ -11,6 +10,8 @@ import (
 	"one-api/relay/channel/openai"
 	relaycommon "one-api/relay/common"
 	"one-api/relay/constant"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor struct {
@@ -58,6 +59,11 @@ func (a *Adaptor) ConvertOpenAIRequest(c *gin.Context, info *relaycommon.RelayIn
 	return request, nil
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/tencent/adaptor.go

@@ -3,7 +3,6 @@ package tencent
 import (
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/common"
@@ -13,6 +12,8 @@ import (
 	"one-api/service"
 	"strconv"
 	"strings"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor struct {
@@ -84,6 +85,11 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
 	return nil, errors.New("not implemented")
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/vertex/adaptor.go

@@ -4,7 +4,6 @@ import (
 	"encoding/json"
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
@@ -13,7 +12,10 @@ import (
 	"one-api/relay/channel/gemini"
 	"one-api/relay/channel/openai"
 	relaycommon "one-api/relay/common"
+	"one-api/setting/model_setting"
 	"strings"
+
+	"github.com/gin-gonic/gin"
 )
 
 const (
@@ -77,6 +79,15 @@ func (a *Adaptor) GetRequestURL(info *relaycommon.RelayInfo) (string, error) {
 	a.AccountCredentials = *adc
 	suffix := ""
 	if a.RequestMode == RequestModeGemini {
+		if model_setting.GetGeminiSettings().ThinkingAdapterEnabled {
+			// suffix -thinking and -nothinking
+			if strings.HasSuffix(info.OriginModelName, "-thinking") {
+				info.UpstreamModelName = strings.TrimSuffix(info.UpstreamModelName, "-thinking")
+			} else if strings.HasSuffix(info.OriginModelName, "-nothinking") {
+				info.UpstreamModelName = strings.TrimSuffix(info.UpstreamModelName, "-nothinking")
+			}
+		}
+
 		if info.IsStream {
 			suffix = "streamGenerateContent?alt=sse"
 		} else {
@@ -164,6 +175,11 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
 	return nil, errors.New("not implemented")
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/volcengine/adaptor.go

@@ -3,7 +3,6 @@ package volcengine
 import (
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
@@ -12,6 +11,8 @@ import (
 	relaycommon "one-api/relay/common"
 	"one-api/relay/constant"
 	"strings"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor struct {
@@ -71,6 +72,11 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
 	return request, nil
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/channel/xai/adaptor.go

@@ -2,14 +2,17 @@ package xai
 
 import (
 	"errors"
-	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
 	"one-api/relay/channel"
+	"one-api/relay/channel/openai"
 	relaycommon "one-api/relay/common"
 	"strings"
+
+	"one-api/relay/constant"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor struct {
@@ -27,15 +30,20 @@ func (a *Adaptor) ConvertAudioRequest(c *gin.Context, info *relaycommon.RelayInf
 }
 
 func (a *Adaptor) ConvertImageRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.ImageRequest) (any, error) {
-	request.Size = ""
-	return request, nil
+	xaiRequest := ImageRequest{
+		Model:          request.Model,
+		Prompt:         request.Prompt,
+		N:              request.N,
+		ResponseFormat: request.ResponseFormat,
+	}
+	return xaiRequest, nil
 }
 
 func (a *Adaptor) Init(info *relaycommon.RelayInfo) {
 }
 
 func (a *Adaptor) GetRequestURL(info *relaycommon.RelayInfo) (string, error) {
-	return fmt.Sprintf("%s/v1/chat/completions", info.BaseUrl), nil
+	return relaycommon.GetFullRequestURL(info.BaseUrl, info.RequestURLPath, info.ChannelType), nil
 }
 
 func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Header, info *relaycommon.RelayInfo) error {
@@ -78,20 +86,26 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
 	return nil, errors.New("not available")
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }
 
 func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (usage any, err *dto.OpenAIErrorWithStatusCode) {
-	if info.IsStream {
-		err, usage = xAIStreamHandler(c, resp, info)
-	} else {
-		err, usage = xAIHandler(c, resp, info)
+	switch info.RelayMode {
+	case constant.RelayModeImagesGenerations, constant.RelayModeImagesEdits:
+		err, usage = openai.OpenaiHandlerWithUsage(c, resp, info)
+	default:
+		if info.IsStream {
+			err, usage = xAIStreamHandler(c, resp, info)
+		} else {
+			err, usage = xAIHandler(c, resp, info)
+		}
 	}
-	//if _, ok := usage.(*dto.Usage); ok && usage != nil {
-	//	usage.(*dto.Usage).CompletionTokens = usage.(*dto.Usage).TotalTokens - usage.(*dto.Usage).PromptTokens
-	//}
-
 	return
 }
 

relay/channel/xai/dto.go

@@ -12,3 +12,16 @@ type ChatCompletionResponse struct {
 	Usage             *dto.Usage `json:"usage"`
 	SystemFingerprint string     `json:"system_fingerprint"`
 }
+
+// quality, size or style are not supported by xAI API at the moment.
+type ImageRequest struct {
+	Model          string          `json:"model"`
+	Prompt         string          `json:"prompt" binding:"required"`
+	N              int             `json:"n,omitempty"`
+	// Size           string          `json:"size,omitempty"`
+	// Quality        string          `json:"quality,omitempty"`
+	ResponseFormat string          `json:"response_format,omitempty"`
+	// Style          string          `json:"style,omitempty"`
+	// User           string          `json:"user,omitempty"`
+	// ExtraFields    json.RawMessage `json:"extra_fields,omitempty"`
+}

relay/channel/xunfei/adaptor.go

@@ -2,7 +2,6 @@ package xunfei
 
 import (
 	"errors"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
@@ -10,6 +9,8 @@ import (
 	relaycommon "one-api/relay/common"
 	"one-api/service"
 	"strings"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor struct {
@@ -61,6 +62,11 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
 	return nil, errors.New("not implemented")
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	// xunfei's request is not http request, so we don't need to do anything here
 	dummyResp := &http.Response{}

relay/channel/zhipu/adaptor.go

@@ -3,12 +3,13 @@ package zhipu
 import (
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
 	"one-api/relay/channel"
 	relaycommon "one-api/relay/common"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor struct {
@@ -71,6 +72,11 @@ func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, request
 	return channel.DoApiRequest(a, c, info, requestBody)
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (usage any, err *dto.OpenAIErrorWithStatusCode) {
 	if info.IsStream {
 		err, usage = zhipuStreamHandler(c, resp)

relay/channel/zhipu_4v/adaptor.go

@@ -3,7 +3,6 @@ package zhipu_4v
 import (
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/dto"
@@ -11,6 +10,8 @@ import (
 	"one-api/relay/channel/openai"
 	relaycommon "one-api/relay/common"
 	relayconstant "one-api/relay/constant"
+
+	"github.com/gin-gonic/gin"
 )
 
 type Adaptor struct {
@@ -70,6 +71,11 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
 	return request, nil
 }
 
+func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
+	// TODO implement me
+	return nil, errors.New("not implemented")
+}
+
 func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
 	return channel.DoApiRequest(a, c, info, requestBody)
 }

relay/common/relay_info.go

@@ -36,6 +36,7 @@ type ClaudeConvertInfo struct {
 const (
 	RelayFormatOpenAI = "openai"
 	RelayFormatClaude = "claude"
+	RelayFormatGemini = "gemini"
 )
 
 type RerankerInfo struct {
@@ -43,6 +44,16 @@ type RerankerInfo struct {
 	ReturnDocuments bool
 }
 
+type BuildInToolInfo struct {
+	ToolName          string
+	CallCount         int
+	SearchContextSize string
+}
+
+type ResponsesUsageInfo struct {
+	BuiltInTools map[string]*BuildInToolInfo
+}
+
 type RelayInfo struct {
 	ChannelType       int
 	ChannelId         int
@@ -87,9 +98,11 @@ type RelayInfo struct {
 	UserQuota            int
 	RelayFormat          string
 	SendResponseCount    int
+	ChannelCreateTime    int64
 	ThinkingContentInfo
 	*ClaudeConvertInfo
 	*RerankerInfo
+	*ResponsesUsageInfo
 }
 
 // 定义支持流式选项的通道类型
@@ -103,6 +116,8 @@ var streamSupportedChannels = map[int]bool{
 	common.ChannelTypeVolcEngine: true,
 	common.ChannelTypeOllama:     true,
 	common.ChannelTypeXai:        true,
+	common.ChannelTypeDeepSeek:   true,
+	common.ChannelTypeBaiduV2:    true,
 }
 
 func GenRelayInfoWs(c *gin.Context, ws *websocket.Conn) *RelayInfo {
@@ -134,6 +149,31 @@ func GenRelayInfoRerank(c *gin.Context, req *dto.RerankRequest) *RelayInfo {
 	return info
 }
 
+func GenRelayInfoResponses(c *gin.Context, req *dto.OpenAIResponsesRequest) *RelayInfo {
+	info := GenRelayInfo(c)
+	info.RelayMode = relayconstant.RelayModeResponses
+	info.ResponsesUsageInfo = &ResponsesUsageInfo{
+		BuiltInTools: make(map[string]*BuildInToolInfo),
+	}
+	if len(req.Tools) > 0 {
+		for _, tool := range req.Tools {
+			info.ResponsesUsageInfo.BuiltInTools[tool.Type] = &BuildInToolInfo{
+				ToolName:  tool.Type,
+				CallCount: 0,
+			}
+			switch tool.Type {
+			case dto.BuildInToolWebSearchPreview:
+				if tool.SearchContextSize == "" {
+					tool.SearchContextSize = "medium"
+				}
+				info.ResponsesUsageInfo.BuiltInTools[tool.Type].SearchContextSize = tool.SearchContextSize
+			}
+		}
+	}
+	info.IsStream = req.Stream
+	return info
+}
+
 func GenRelayInfo(c *gin.Context) *RelayInfo {
 	channelType := c.GetInt("channel_type")
 	channelId := c.GetInt("channel_id")
@@ -170,14 +210,15 @@ func GenRelayInfo(c *gin.Context) *RelayInfo {
 		OriginModelName:   c.GetString("original_model"),
 		UpstreamModelName: c.GetString("original_model"),
 		//RecodeModelName:   c.GetString("original_model"),
-		IsModelMapped:  false,
-		ApiType:        apiType,
-		ApiVersion:     c.GetString("api_version"),
-		ApiKey:         strings.TrimPrefix(c.Request.Header.Get("Authorization"), "Bearer "),
-		Organization:   c.GetString("channel_organization"),
-		ChannelSetting: channelSetting,
-		ParamOverride:  paramOverride,
-		RelayFormat:    RelayFormatOpenAI,
+		IsModelMapped:     false,
+		ApiType:           apiType,
+		ApiVersion:        c.GetString("api_version"),
+		ApiKey:            strings.TrimPrefix(c.Request.Header.Get("Authorization"), "Bearer "),
+		Organization:      c.GetString("channel_organization"),
+		ChannelSetting:    channelSetting,
+		ChannelCreateTime: c.GetInt64("channel_create_time"),
+		ParamOverride:     paramOverride,
+		RelayFormat:       RelayFormatOpenAI,
 		ThinkingContentInfo: ThinkingContentInfo{
 			IsFirstThinkingContent:  true,
 			SendLastThinkingContent: false,
@@ -200,6 +241,10 @@ func GenRelayInfo(c *gin.Context) *RelayInfo {
 	if streamSupportedChannels[info.ChannelType] {
 		info.SupportStreamOptions = true
 	}
+	// responses 模式不支持 StreamOptions
+	if relayconstant.RelayModeResponses == info.RelayMode {
+		info.SupportStreamOptions = false
+	}
 	return info
 }
 

relay/constant/relay_mode.go

@@ -40,6 +40,8 @@ const (
 
 	RelayModeRerank
 
+	RelayModeResponses
+
 	RelayModeRealtime
 )
 
@@ -61,6 +63,8 @@ func Path2RelayMode(path string) int {
 		relayMode = RelayModeImagesEdits
 	} else if strings.HasPrefix(path, "/v1/edits") {
 		relayMode = RelayModeEdits
+	} else if strings.HasPrefix(path, "/v1/responses") {
+		relayMode = RelayModeResponses
 	} else if strings.HasPrefix(path, "/v1/audio/speech") {
 		relayMode = RelayModeAudioSpeech
 	} else if strings.HasPrefix(path, "/v1/audio/transcriptions") {

relay/helper/common.go

@@ -43,6 +43,14 @@ func ClaudeChunkData(c *gin.Context, resp dto.ClaudeResponse, data string) {
 	}
 }
 
+func ResponseChunkData(c *gin.Context, resp dto.ResponsesStreamResponse, data string) {
+	c.Render(-1, common.CustomEvent{Data: fmt.Sprintf("event: %s\n", resp.Type)})
+	c.Render(-1, common.CustomEvent{Data: fmt.Sprintf("data: %s", data)})
+	if flusher, ok := c.Writer.(http.Flusher); ok {
+		flusher.Flush()
+	}
+}
+
 func StringData(c *gin.Context, str string) error {
 	//str = strings.TrimPrefix(str, "data: ")
 	//str = strings.TrimSuffix(str, "\r")

relay/helper/model_mapped.go

@@ -2,9 +2,11 @@ package helper
 
 import (
 	"encoding/json"
+	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"one-api/relay/common"
+
+	"github.com/gin-gonic/gin"
 )
 
 func ModelMappedHelper(c *gin.Context, info *common.RelayInfo) error {
@@ -16,9 +18,36 @@ func ModelMappedHelper(c *gin.Context, info *common.RelayInfo) error {
 		if err != nil {
 			return fmt.Errorf("unmarshal_model_mapping_failed")
 		}
-		if modelMap[info.OriginModelName] != "" {
-			info.UpstreamModelName = modelMap[info.OriginModelName]
-			info.IsModelMapped = true
+
+		// 支持链式模型重定向，最终使用链尾的模型
+		currentModel := info.OriginModelName
+		visitedModels := map[string]bool{
+			currentModel: true,
+		}
+		for {
+			if mappedModel, exists := modelMap[currentModel]; exists && mappedModel != "" {
+				// 模型重定向循环检测，避免无限循环
+				if visitedModels[mappedModel] {
+					if mappedModel == currentModel {
+						if currentModel == info.OriginModelName {
+							info.IsModelMapped = false
+							return nil
+						} else {
+							info.IsModelMapped = true
+							break
+						}
+					}
+					return errors.New("model_mapping_contains_cycle")
+				}
+				visitedModels[mappedModel] = true
+				currentModel = mappedModel
+				info.IsModelMapped = true
+			} else {
+				break
+			}
+		}
+		if info.IsModelMapped {
+			info.UpstreamModelName = currentModel
 		}
 	}
 	return nil

relay/helper/stream_scanner.go

@@ -32,7 +32,7 @@ func StreamScannerHandler(c *gin.Context, resp *http.Response, info *relaycommon
 	defer resp.Body.Close()
 
 	streamingTimeout := time.Duration(constant.StreamingTimeout) * time.Second
-	if strings.HasPrefix(info.UpstreamModelName, "o1") || strings.HasPrefix(info.UpstreamModelName, "o3") {
+	if strings.HasPrefix(info.UpstreamModelName, "o") {
 		// twice timeout for thinking model
 		streamingTimeout *= 2
 	}
@@ -115,7 +115,7 @@ func StreamScannerHandler(c *gin.Context, resp *http.Response, info *relaycommon
 			}
 			data = data[5:]
 			data = strings.TrimLeft(data, " ")
-			data = strings.TrimSuffix(data, "\"")
+			data = strings.TrimSuffix(data, "\r")
 			if !strings.HasPrefix(data, "[DONE]") {
 				info.SetFirstResponseTime()
 				writeMutex.Lock() // Lock before writing

relay/relay-image.go

@@ -49,11 +49,11 @@ func getAndValidImageRequest(c *gin.Context, info *relaycommon.RelayInfo) (*dto.
 		// Not "256x256", "512x512", or "1024x1024"
 		if imageRequest.Model == "dall-e-2" || imageRequest.Model == "dall-e" {
 			if imageRequest.Size != "" && imageRequest.Size != "256x256" && imageRequest.Size != "512x512" && imageRequest.Size != "1024x1024" {
-				return nil, errors.New("size must be one of 256x256, 512x512, or 1024x1024, dall-e-3 1024x1792 or 1792x1024")
+				return nil, errors.New("size must be one of 256x256, 512x512, or 1024x1024 for dall-e-2 or dall-e")
 			}
 		} else if imageRequest.Model == "dall-e-3" {
 			if imageRequest.Size != "" && imageRequest.Size != "1024x1024" && imageRequest.Size != "1024x1792" && imageRequest.Size != "1792x1024" {
-				return nil, errors.New("size must be one of 256x256, 512x512, or 1024x1024, dall-e-3 1024x1792 or 1792x1024")
+				return nil, errors.New("size must be one of 1024x1024, 1024x1792 or 1792x1024 for dall-e-3")
 			}
 			if imageRequest.Quality == "" {
 				imageRequest.Quality = "standard"

relay/relay-responses.go

@@ -0,0 +1,171 @@
+package relay
+
+import (
+	"bytes"
+	"encoding/json"
+	"errors"
+	"fmt"
+	"io"
+	"net/http"
+	"one-api/common"
+	"one-api/dto"
+	relaycommon "one-api/relay/common"
+	"one-api/relay/helper"
+	"one-api/service"
+	"one-api/setting"
+	"one-api/setting/model_setting"
+	"strings"
+
+	"github.com/gin-gonic/gin"
+)
+
+func getAndValidateResponsesRequest(c *gin.Context) (*dto.OpenAIResponsesRequest, error) {
+	request := &dto.OpenAIResponsesRequest{}
+	err := common.UnmarshalBodyReusable(c, request)
+	if err != nil {
+		return nil, err
+	}
+	if request.Model == "" {
+		return nil, errors.New("model is required")
+	}
+	if len(request.Input) == 0 {
+		return nil, errors.New("input is required")
+	}
+	return request, nil
+
+}
+
+func checkInputSensitive(textRequest *dto.OpenAIResponsesRequest, info *relaycommon.RelayInfo) ([]string, error) {
+	sensitiveWords, err := service.CheckSensitiveInput(textRequest.Input)
+	return sensitiveWords, err
+}
+
+func getInputTokens(req *dto.OpenAIResponsesRequest, info *relaycommon.RelayInfo) (int, error) {
+	inputTokens, err := service.CountTokenInput(req.Input, req.Model)
+	info.PromptTokens = inputTokens
+	return inputTokens, err
+}
+
+func ResponsesHelper(c *gin.Context) (openaiErr *dto.OpenAIErrorWithStatusCode) {
+	req, err := getAndValidateResponsesRequest(c)
+	if err != nil {
+		common.LogError(c, fmt.Sprintf("getAndValidateResponsesRequest error: %s", err.Error()))
+		return service.OpenAIErrorWrapperLocal(err, "invalid_responses_request", http.StatusBadRequest)
+	}
+
+	relayInfo := relaycommon.GenRelayInfoResponses(c, req)
+
+	if setting.ShouldCheckPromptSensitive() {
+		sensitiveWords, err := checkInputSensitive(req, relayInfo)
+		if err != nil {
+			common.LogWarn(c, fmt.Sprintf("user sensitive words detected: %s", strings.Join(sensitiveWords, ", ")))
+			return service.OpenAIErrorWrapperLocal(err, "check_request_sensitive_error", http.StatusBadRequest)
+		}
+	}
+
+	err = helper.ModelMappedHelper(c, relayInfo)
+	if err != nil {
+		return service.OpenAIErrorWrapperLocal(err, "model_mapped_error", http.StatusBadRequest)
+	}
+	req.Model = relayInfo.UpstreamModelName
+	if value, exists := c.Get("prompt_tokens"); exists {
+		promptTokens := value.(int)
+		relayInfo.SetPromptTokens(promptTokens)
+	} else {
+		promptTokens, err := getInputTokens(req, relayInfo)
+		if err != nil {
+			return service.OpenAIErrorWrapperLocal(err, "count_input_tokens_error", http.StatusBadRequest)
+		}
+		c.Set("prompt_tokens", promptTokens)
+	}
+
+	priceData, err := helper.ModelPriceHelper(c, relayInfo, relayInfo.PromptTokens, int(req.MaxOutputTokens))
+	if err != nil {
+		return service.OpenAIErrorWrapperLocal(err, "model_price_error", http.StatusInternalServerError)
+	}
+	// pre consume quota
+	preConsumedQuota, userQuota, openaiErr := preConsumeQuota(c, priceData.ShouldPreConsumedQuota, relayInfo)
+	if openaiErr != nil {
+		return openaiErr
+	}
+	defer func() {
+		if openaiErr != nil {
+			returnPreConsumedQuota(c, relayInfo, userQuota, preConsumedQuota)
+		}
+	}()
+	adaptor := GetAdaptor(relayInfo.ApiType)
+	if adaptor == nil {
+		return service.OpenAIErrorWrapperLocal(fmt.Errorf("invalid api type: %d", relayInfo.ApiType), "invalid_api_type", http.StatusBadRequest)
+	}
+	adaptor.Init(relayInfo)
+	var requestBody io.Reader
+	if model_setting.GetGlobalSettings().PassThroughRequestEnabled {
+		body, err := common.GetRequestBody(c)
+		if err != nil {
+			return service.OpenAIErrorWrapperLocal(err, "get_request_body_error", http.StatusInternalServerError)
+		}
+		requestBody = bytes.NewBuffer(body)
+	} else {
+		convertedRequest, err := adaptor.ConvertOpenAIResponsesRequest(c, relayInfo, *req)
+		if err != nil {
+			return service.OpenAIErrorWrapperLocal(err, "convert_request_error", http.StatusBadRequest)
+		}
+		jsonData, err := json.Marshal(convertedRequest)
+		if err != nil {
+			return service.OpenAIErrorWrapperLocal(err, "marshal_request_error", http.StatusInternalServerError)
+		}
+		// apply param override
+		if len(relayInfo.ParamOverride) > 0 {
+			reqMap := make(map[string]interface{})
+			err = json.Unmarshal(jsonData, &reqMap)
+			if err != nil {
+				return service.OpenAIErrorWrapperLocal(err, "param_override_unmarshal_failed", http.StatusInternalServerError)
+			}
+			for key, value := range relayInfo.ParamOverride {
+				reqMap[key] = value
+			}
+			jsonData, err = json.Marshal(reqMap)
+			if err != nil {
+				return service.OpenAIErrorWrapperLocal(err, "param_override_marshal_failed", http.StatusInternalServerError)
+			}
+		}
+
+		if common.DebugEnabled {
+			println("requestBody: ", string(jsonData))
+		}
+		requestBody = bytes.NewBuffer(jsonData)
+	}
+
+	var httpResp *http.Response
+	resp, err := adaptor.DoRequest(c, relayInfo, requestBody)
+	if err != nil {
+		return service.OpenAIErrorWrapper(err, "do_request_failed", http.StatusInternalServerError)
+	}
+
+	statusCodeMappingStr := c.GetString("status_code_mapping")
+
+	if resp != nil {
+		httpResp = resp.(*http.Response)
+
+		if httpResp.StatusCode != http.StatusOK {
+			openaiErr = service.RelayErrorHandler(httpResp, false)
+			// reset status code 重置状态码
+			service.ResetStatusCode(openaiErr, statusCodeMappingStr)
+			return openaiErr
+		}
+	}
+
+	usage, openaiErr := adaptor.DoResponse(c, httpResp, relayInfo)
+	if openaiErr != nil {
+		// reset status code 重置状态码
+		service.ResetStatusCode(openaiErr, statusCodeMappingStr)
+		return openaiErr
+	}
+
+	if strings.HasPrefix(relayInfo.OriginModelName, "gpt-4o-audio") {
+		service.PostAudioConsumeQuota(c, relayInfo, usage.(*dto.Usage), preConsumedQuota, userQuota, priceData, "")
+	} else {
+		postConsumeQuota(c, relayInfo, usage.(*dto.Usage), preConsumedQuota, userQuota, priceData, "")
+	}
+	return nil
+}

relay/relay-text.go

@@ -18,6 +18,7 @@ import (
 	"one-api/service"
 	"one-api/setting"
 	"one-api/setting/model_setting"
+	"one-api/setting/operation_setting"
 	"strings"
 	"time"
 
@@ -358,6 +359,34 @@ func postConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo,
 
 	ratio := dModelRatio.Mul(dGroupRatio)
 
+	// openai web search 工具计费
+	var dWebSearchQuota decimal.Decimal
+	var webSearchPrice float64
+	if relayInfo.ResponsesUsageInfo != nil {
+		if webSearchTool, exists := relayInfo.ResponsesUsageInfo.BuiltInTools[dto.BuildInToolWebSearchPreview]; exists && webSearchTool.CallCount > 0 {
+			// 计算 web search 调用的配额 (配额 = 价格 * 调用次数 / 1000 * 分组倍率)
+			webSearchPrice = operation_setting.GetWebSearchPricePerThousand(modelName, webSearchTool.SearchContextSize)
+			dWebSearchQuota = decimal.NewFromFloat(webSearchPrice).
+				Mul(decimal.NewFromInt(int64(webSearchTool.CallCount))).
+				Div(decimal.NewFromInt(1000)).Mul(dGroupRatio).Mul(dQuotaPerUnit)
+			extraContent += fmt.Sprintf("Web Search 调用 %d 次，上下文大小 %s，调用花费 $%s",
+				webSearchTool.CallCount, webSearchTool.SearchContextSize, dWebSearchQuota.String())
+		}
+	}
+	// file search tool 计费
+	var dFileSearchQuota decimal.Decimal
+	var fileSearchPrice float64
+	if relayInfo.ResponsesUsageInfo != nil {
+		if fileSearchTool, exists := relayInfo.ResponsesUsageInfo.BuiltInTools[dto.BuildInToolFileSearch]; exists && fileSearchTool.CallCount > 0 {
+			fileSearchPrice = operation_setting.GetFileSearchPricePerThousand()
+			dFileSearchQuota = decimal.NewFromFloat(fileSearchPrice).
+				Mul(decimal.NewFromInt(int64(fileSearchTool.CallCount))).
+				Div(decimal.NewFromInt(1000)).Mul(dGroupRatio).Mul(dQuotaPerUnit)
+			extraContent += fmt.Sprintf("File Search 调用 %d 次，调用花费 $%s",
+				fileSearchTool.CallCount, dFileSearchQuota.String())
+		}
+	}
+
 	var quotaCalculateDecimal decimal.Decimal
 	if !priceData.UsePrice {
 		nonCachedTokens := dPromptTokens.Sub(dCacheTokens)
@@ -380,6 +409,9 @@ func postConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo,
 	} else {
 		quotaCalculateDecimal = dModelPrice.Mul(dQuotaPerUnit).Mul(dGroupRatio)
 	}
+	// 添加 responses tools call 调用的配额
+	quotaCalculateDecimal = quotaCalculateDecimal.Add(dWebSearchQuota)
+	quotaCalculateDecimal = quotaCalculateDecimal.Add(dFileSearchQuota)
 
 	quota := int(quotaCalculateDecimal.Round(0).IntPart())
 	totalTokens := promptTokens + completionTokens
@@ -430,6 +462,20 @@ func postConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo,
 		other["image_ratio"] = imageRatio
 		other["image_output"] = imageTokens
 	}
+	if !dWebSearchQuota.IsZero() && relayInfo.ResponsesUsageInfo != nil {
+		if webSearchTool, exists := relayInfo.ResponsesUsageInfo.BuiltInTools[dto.BuildInToolWebSearchPreview]; exists {
+			other["web_search"] = true
+			other["web_search_call_count"] = webSearchTool.CallCount
+			other["web_search_price"] = webSearchPrice
+		}
+	}
+	if !dFileSearchQuota.IsZero() && relayInfo.ResponsesUsageInfo != nil {
+		if fileSearchTool, exists := relayInfo.ResponsesUsageInfo.BuiltInTools[dto.BuildInToolFileSearch]; exists {
+			other["file_search"] = true
+			other["file_search_call_count"] = fileSearchTool.CallCount
+			other["file_search_price"] = fileSearchPrice
+		}
+	}
 	model.RecordConsumeLog(ctx, relayInfo.UserId, relayInfo.ChannelId, promptTokens, completionTokens, logModel,
 		tokenName, quota, logContent, relayInfo.TokenId, userQuota, int(useTimeSeconds), relayInfo.IsStream, relayInfo.Group, other)
 }

router/relay-router.go

@@ -1,10 +1,11 @@
 package router
 
 import (
-	"github.com/gin-gonic/gin"
 	"one-api/controller"
 	"one-api/middleware"
 	"one-api/relay"
+
+	"github.com/gin-gonic/gin"
 )
 
 func SetRelayRouter(router *gin.Engine) {
@@ -47,6 +48,7 @@ func SetRelayRouter(router *gin.Engine) {
 		httpRouter.POST("/audio/transcriptions", controller.Relay)
 		httpRouter.POST("/audio/translations", controller.Relay)
 		httpRouter.POST("/audio/speech", controller.Relay)
+		httpRouter.POST("/responses", controller.Relay)
 		httpRouter.GET("/files", controller.RelayNotImplemented)
 		httpRouter.POST("/files", controller.RelayNotImplemented)
 		httpRouter.DELETE("/files/:id", controller.RelayNotImplemented)

service/token_counter.go

@@ -400,6 +400,8 @@ func CountTokenMessages(info *relaycommon.RelayInfo, messages []dto.Message, mod
 					tokenNum += 100
 				} else if m.Type == dto.ContentTypeFile {
 					tokenNum += 5000
+				} else if m.Type == dto.ContentTypeVideoUrl {
+					tokenNum += 5000
 				} else {
 					tokenNum += getTokenNum(tokenEncoder, m.Text)
 				}

setting/operation_setting/model-ratio.go

@@ -517,18 +517,18 @@ func getHardcodedCompletionModelRatio(name string) (float64, bool) {
 
 func GetAudioRatio(name string) float64 {
 	if strings.Contains(name, "-realtime") {
-		if strings.HasSuffix(name, "gpt-4o-realtime-preview-2024-12-17") {
+		if strings.HasSuffix(name, "gpt-4o-realtime-preview") {
 			return 8
-		} else if strings.Contains(name, "mini") {
+		} else if strings.Contains(name, "gpt-4o-mini-realtime-preview") {
 			return 10 / 0.6
 		} else {
 			return 20
 		}
 	}
 	if strings.Contains(name, "-audio") {
-		if strings.HasSuffix(name, "gpt-4o-audio-preview-2024-12-17") {
-			return 16
-		} else if strings.Contains(name, "mini") {
+		if strings.HasPrefix(name, "gpt-4o-audio-preview") {
+			return 40 / 2.5
+		} else if strings.HasPrefix(name, "gpt-4o-mini-audio-preview") {
 			return 10 / 0.15
 		} else {
 			return 40

setting/operation_setting/tools.go

@@ -0,0 +1,57 @@
+package operation_setting
+
+import "strings"
+
+const (
+	// Web search
+	WebSearchHighTierModelPriceLow    = 30.00
+	WebSearchHighTierModelPriceMedium = 35.00
+	WebSearchHighTierModelPriceHigh   = 50.00
+	WebSearchPriceLow                 = 25.00
+	WebSearchPriceMedium              = 27.50
+	WebSearchPriceHigh                = 30.00
+	// File search
+	FileSearchPrice = 2.5
+)
+
+func GetWebSearchPricePerThousand(modelName string, contextSize string) float64 {
+	// 确定模型类型
+	// https://platform.openai.com/docs/pricing Web search 价格按模型类型和 search context size 收费
+	// gpt-4.1, gpt-4o, or gpt-4o-search-preview 更贵，gpt-4.1-mini, gpt-4o-mini, gpt-4o-mini-search-preview 更便宜
+	isHighTierModel := (strings.HasPrefix(modelName, "gpt-4.1") || strings.HasPrefix(modelName, "gpt-4o")) &&
+		!strings.Contains(modelName, "mini")
+	// 确定 search context size 对应的价格
+	var priceWebSearchPerThousandCalls float64
+	switch contextSize {
+	case "low":
+		if isHighTierModel {
+			priceWebSearchPerThousandCalls = WebSearchHighTierModelPriceLow
+		} else {
+			priceWebSearchPerThousandCalls = WebSearchPriceLow
+		}
+	case "medium":
+		if isHighTierModel {
+			priceWebSearchPerThousandCalls = WebSearchHighTierModelPriceMedium
+		} else {
+			priceWebSearchPerThousandCalls = WebSearchPriceMedium
+		}
+	case "high":
+		if isHighTierModel {
+			priceWebSearchPerThousandCalls = WebSearchHighTierModelPriceHigh
+		} else {
+			priceWebSearchPerThousandCalls = WebSearchPriceHigh
+		}
+	default:
+		// search context size 默认为 medium
+		if isHighTierModel {
+			priceWebSearchPerThousandCalls = WebSearchHighTierModelPriceMedium
+		} else {
+			priceWebSearchPerThousandCalls = WebSearchPriceMedium
+		}
+	}
+	return priceWebSearchPerThousandCalls
+}
+
+func GetFileSearchPricePerThousand() float64 {
+	return FileSearchPrice
+}

web/src/components/LogsTable.js

@@ -618,7 +618,6 @@ const LogsTable = () => {
             </Paragraph>
           );
         }
-
         let content = other?.claude
           ? renderClaudeModelPriceSimple(
               other.model_ratio,
@@ -935,6 +934,13 @@ const LogsTable = () => {
                 other.model_price,
                 other.group_ratio,
                 other?.user_group_ratio,
+                false,
+                1.0,
+                undefined,
+                other.web_search || false,
+                other.web_search_call_count || 0,
+                other.file_search || false,
+                other.file_search_call_count || 0,
               ),
         });
       }
@@ -995,6 +1001,12 @@ const LogsTable = () => {
             other?.image || false,
             other?.image_ratio || 0,
             other?.image_output || 0,
+            other?.web_search || false,
+            other?.web_search_call_count || 0,
+            other?.web_search_price || 0,
+            other?.file_search || false,
+            other?.file_search_call_count || 0,
+            other?.file_search_price || 0,
           );
         }
         expandDataLocal.push({

web/src/components/PersonalSetting.js

@@ -57,6 +57,7 @@ const PersonalSetting = () => {
     email_verification_code: '',
     email: '',
     self_account_deletion_confirmation: '',
+    original_password: '',
     set_new_password: '',
     set_new_password_confirmation: '',
   });
@@ -239,11 +240,24 @@ const PersonalSetting = () => {
   };
 
   const changePassword = async () => {
+    if (inputs.original_password === '') {
+      showError(t('请输入原密码！'));
+      return;
+    }
+    if (inputs.set_new_password === '') {
+      showError(t('请输入新密码！'));
+      return;
+    }
+    if (inputs.original_password === inputs.set_new_password) {
+      showError(t('新密码需要和原密码不一致！'));
+      return;
+    }
     if (inputs.set_new_password !== inputs.set_new_password_confirmation) {
       showError(t('两次输入的密码不一致！'));
       return;
     }
     const res = await API.put(`/api/user/self`, {
+      original_password: inputs.original_password,
       password: inputs.set_new_password,
     });
     const { success, message } = res.data;
@@ -816,8 +830,8 @@ const PersonalSetting = () => {
               </div>
             </Card>
             <Card style={{ marginTop: 10 }}>
-              <Tabs type="line" defaultActiveKey="notification">
-                <TabPane tab={t('通知设置')} itemKey="notification">
+              <Tabs type='line' defaultActiveKey='notification'>
+                <TabPane tab={t('通知设置')} itemKey='notification'>
                   <div style={{ marginTop: 20 }}>
                     <Typography.Text strong>{t('通知方式')}</Typography.Text>
                     <div style={{ marginTop: 10 }}>
@@ -993,23 +1007,36 @@ const PersonalSetting = () => {
                     </Typography.Text>
                   </div>
                 </TabPane>
-                <TabPane tab={t('价格设置')} itemKey="price">
+                <TabPane tab={t('价格设置')} itemKey='price'>
                   <div style={{ marginTop: 20 }}>
-                    <Typography.Text strong>{t('接受未设置价格模型')}</Typography.Text>
+                    <Typography.Text strong>
+                      {t('接受未设置价格模型')}
+                    </Typography.Text>
                     <div style={{ marginTop: 10 }}>
                       <Checkbox
-                        checked={notificationSettings.acceptUnsetModelRatioModel}
-                        onChange={e => handleNotificationSettingChange('acceptUnsetModelRatioModel', e.target.checked)}
+                        checked={
+                          notificationSettings.acceptUnsetModelRatioModel
+                        }
+                        onChange={(e) =>
+                          handleNotificationSettingChange(
+                            'acceptUnsetModelRatioModel',
+                            e.target.checked,
+                          )
+                        }
                       >
                         {t('接受未设置价格模型')}
                       </Checkbox>
-                      <Typography.Text type="secondary" style={{ marginTop: 8, display: 'block' }}>
-                        {t('当模型没有设置价格时仍接受调用，仅当您信任该网站时使用，可能会产生高额费用')}
+                      <Typography.Text
+                        type='secondary'
+                        style={{ marginTop: 8, display: 'block' }}
+                      >
+                        {t(
+                          '当模型没有设置价格时仍接受调用，仅当您信任该网站时使用，可能会产生高额费用',
+                        )}
                       </Typography.Text>
                     </div>
                   </div>
                 </TabPane>
-
               </Tabs>
               <div style={{ marginTop: 20 }}>
                 <Button type='primary' onClick={saveNotificationSettings}>
@@ -1118,6 +1145,16 @@ const PersonalSetting = () => {
             >
               <div style={{ marginTop: 20 }}>
                 <Input
+                  name='original_password'
+                  placeholder={t('原密码')}
+                  type='password'
+                  value={inputs.original_password}
+                  onChange={(value) =>
+                    handleInputChange('original_password', value)
+                  }
+                />
+                <Input
+                  style={{ marginTop: 20 }}
                   name='set_new_password'
                   placeholder={t('新密码')}
                   value={inputs.set_new_password}

web/src/helpers/render.js

@@ -317,6 +317,12 @@ export function renderModelPrice(
   image = false,
   imageRatio = 1.0,
   imageOutputTokens = 0,
+  webSearch = false,
+  webSearchCallCount = 0,
+  webSearchPrice = 0,
+  fileSearch = false,
+  fileSearchCallCount = 0,
+  fileSearchPrice = 0,
 ) {
   if (modelPrice !== -1) {
     return i18next.t(
@@ -339,14 +345,17 @@ export function renderModelPrice(
     // Calculate effective input tokens (non-cached + cached with ratio applied)
     let effectiveInputTokens =
       inputTokens - cacheTokens + cacheTokens * cacheRatio;
-// Handle image tokens if present
+    // Handle image tokens if present
     if (image && imageOutputTokens > 0) {
-      effectiveInputTokens = inputTokens - imageOutputTokens + imageOutputTokens * imageRatio;
+      effectiveInputTokens =
+        inputTokens - imageOutputTokens + imageOutputTokens * imageRatio;
     }
 
     let price =
       (effectiveInputTokens / 1000000) * inputRatioPrice * groupRatio +
-      (completionTokens / 1000000) * completionRatioPrice * groupRatio;
+      (completionTokens / 1000000) * completionRatioPrice * groupRatio +
+      (webSearchCallCount / 1000) * webSearchPrice * groupRatio +
+      (fileSearchCallCount / 1000) * fileSearchPrice * groupRatio;
 
     return (
       <>
@@ -391,9 +400,23 @@ export function renderModelPrice(
               )}
             </p>
           )}
+          {webSearch && webSearchCallCount > 0 && (
+            <p>
+              {i18next.t('Web搜索价格：${{price}} / 1K 次', {
+                price: webSearchPrice,
+              })}
+            </p>
+          )}
+          {fileSearch && fileSearchCallCount > 0 && (
+            <p>
+              {i18next.t('文件搜索价格：${{price}} / 1K 次', {
+                price: fileSearchPrice,
+              })}
+            </p>
+          )}
           <p></p>
           <p>
-            {cacheTokens > 0 && !image
+            {cacheTokens > 0 && !image && !webSearch && !fileSearch
               ? i18next.t(
                   '输入 {{nonCacheInput}} tokens / 1M tokens * ${{price}} + 缓存 {{cacheInput}} tokens / 1M tokens * ${{cachePrice}} + 输出 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}',
                   {
@@ -407,31 +430,82 @@ export function renderModelPrice(
                     total: price.toFixed(6),
                   },
                 )
-              : image && imageOutputTokens > 0
-              ? i18next.t(
-                  '输入 {{nonImageInput}} tokens + 图片输入 {{imageInput}} tokens * {{imageRatio}} / 1M tokens * ${{price}} + 输出 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}',
-                  {
-                    nonImageInput: inputTokens - imageOutputTokens,
-                    imageInput: imageOutputTokens,
-                    imageRatio: imageRatio,
-                    price: inputRatioPrice,
-                    completion: completionTokens,
-                    compPrice: completionRatioPrice,
-                    ratio: groupRatio,
-                    total: price.toFixed(6),
-                  },
-                )
-              : i18next.t(
-                  '输入 {{input}} tokens / 1M tokens * ${{price}} + 输出 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}',
-                  {
-                    input: inputTokens,
-                    price: inputRatioPrice,
-                    completion: completionTokens,
-                    compPrice: completionRatioPrice,
-                    ratio: groupRatio,
-                    total: price.toFixed(6),
-                  },
-                )}
+              : image && imageOutputTokens > 0 && !webSearch && !fileSearch
+                ? i18next.t(
+                    '输入 {{nonImageInput}} tokens + 图片输入 {{imageInput}} tokens * {{imageRatio}} / 1M tokens * ${{price}} + 输出 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}',
+                    {
+                      nonImageInput: inputTokens - imageOutputTokens,
+                      imageInput: imageOutputTokens,
+                      imageRatio: imageRatio,
+                      price: inputRatioPrice,
+                      completion: completionTokens,
+                      compPrice: completionRatioPrice,
+                      ratio: groupRatio,
+                      total: price.toFixed(6),
+                    },
+                  )
+                : webSearch && webSearchCallCount > 0 && !image && !fileSearch
+                  ? i18next.t(
+                      '输入 {{input}} tokens / 1M tokens * ${{price}} + 输出 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} + Web搜索 {{webSearchCallCount}}次 / 1K 次 * ${{webSearchPrice}} * {{ratio}} = ${{total}}',
+                      {
+                        input: inputTokens,
+                        price: inputRatioPrice,
+                        completion: completionTokens,
+                        compPrice: completionRatioPrice,
+                        ratio: groupRatio,
+                        webSearchCallCount,
+                        webSearchPrice,
+                        total: price.toFixed(6),
+                      },
+                    )
+                  : fileSearch &&
+                      fileSearchCallCount > 0 &&
+                      !image &&
+                      !webSearch
+                    ? i18next.t(
+                        '输入 {{input}} tokens / 1M tokens * ${{price}} + 输出 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} + 文件搜索 {{fileSearchCallCount}}次 / 1K 次 * ${{fileSearchPrice}} * {{ratio}}= ${{total}}',
+                        {
+                          input: inputTokens,
+                          price: inputRatioPrice,
+                          completion: completionTokens,
+                          compPrice: completionRatioPrice,
+                          ratio: groupRatio,
+                          fileSearchCallCount,
+                          fileSearchPrice,
+                          total: price.toFixed(6),
+                        },
+                      )
+                    : webSearch &&
+                        webSearchCallCount > 0 &&
+                        fileSearch &&
+                        fileSearchCallCount > 0 &&
+                        !image
+                      ? i18next.t(
+                          '输入 {{input}} tokens / 1M tokens * ${{price}} + 输出 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} + Web搜索 {{webSearchCallCount}}次 / 1K 次 * ${{webSearchPrice}} * {{ratio}}+ 文件搜索 {{fileSearchCallCount}}次 / 1K 次 * ${{fileSearchPrice}} * {{ratio}}= ${{total}}',
+                          {
+                            input: inputTokens,
+                            price: inputRatioPrice,
+                            completion: completionTokens,
+                            compPrice: completionRatioPrice,
+                            ratio: groupRatio,
+                            webSearchCallCount,
+                            webSearchPrice,
+                            fileSearchCallCount,
+                            fileSearchPrice,
+                            total: price.toFixed(6),
+                          },
+                        )
+                      : i18next.t(
+                          '输入 {{input}} tokens / 1M tokens * ${{price}} + 输出 {{completion}} tokens / 1M tokens * ${{compPrice}} * 分组 {{ratio}} = ${{total}}',
+                          {
+                            input: inputTokens,
+                            price: inputRatioPrice,
+                            completion: completionTokens,
+                            compPrice: completionRatioPrice,
+                            ratio: groupRatio,
+                            total: price.toFixed(6),
+                          },
+                        )}
           </p>
           <p>{i18next.t('仅供参考，以实际扣费为准')}</p>
         </article>
@@ -448,33 +522,56 @@ export function renderLogContent(
   user_group_ratio,
   image = false,
   imageRatio = 1.0,
-  useUserGroupRatio = undefined
+  useUserGroupRatio = undefined,
+  webSearch = false,
+  webSearchCallCount = 0,
+  fileSearch = false,
+  fileSearchCallCount = 0,
 ) {
-  const ratioLabel = useUserGroupRatio ? i18next.t('专属倍率') : i18next.t('分组倍率');
+  const ratioLabel = useUserGroupRatio
+    ? i18next.t('专属倍率')
+    : i18next.t('分组倍率');
   const ratio = useUserGroupRatio ? user_group_ratio : groupRatio;
 
   if (modelPrice !== -1) {
     return i18next.t('模型价格 ${{price}}，{{ratioType}} {{ratio}}', {
       price: modelPrice,
       ratioType: ratioLabel,
-      ratio
+      ratio,
     });
   } else {
     if (image) {
-      return i18next.t('模型倍率 {{modelRatio}}，输出倍率 {{completionRatio}}，图片输入倍率 {{imageRatio}}，{{ratioType}} {{ratio}}', {
-        modelRatio: modelRatio,
-        completionRatio: completionRatio,
-        imageRatio: imageRatio,
-        ratioType: ratioLabel,
-        ratio
-      });
+      return i18next.t(
+        '模型倍率 {{modelRatio}}，输出倍率 {{completionRatio}}，图片输入倍率 {{imageRatio}}，{{ratioType}} {{ratio}}',
+        {
+          modelRatio: modelRatio,
+          completionRatio: completionRatio,
+          imageRatio: imageRatio,
+          ratioType: ratioLabel,
+          ratio,
+        },
+      );
+    } else if (webSearch) {
+      return i18next.t(
+        '模型倍率 {{modelRatio}}，输出倍率 {{completionRatio}}，{{ratioType}} {{ratio}}，Web 搜索调用 {{webSearchCallCount}} 次',
+        {
+          modelRatio: modelRatio,
+          completionRatio: completionRatio,
+          ratioType: ratioLabel,
+          ratio,
+          webSearchCallCount,
+        },
+      );
     } else {
-      return i18next.t('模型倍率 {{modelRatio}}，输出倍率 {{completionRatio}}，{{ratioType}} {{ratio}}', {
-        modelRatio: modelRatio,
-        completionRatio: completionRatio,
-        ratioType: ratioLabel,
-        ratio
-      });
+      return i18next.t(
+        '模型倍率 {{modelRatio}}，输出倍率 {{completionRatio}}，{{ratioType}} {{ratio}}',
+        {
+          modelRatio: modelRatio,
+          completionRatio: completionRatio,
+          ratioType: ratioLabel,
+          ratio,
+        },
+      );
     }
   }
 }

web/src/i18n/locales/en.json

@@ -493,6 +493,7 @@
   "默认": "default",
   "图片演示": "Image demo",
   "注意，系统请求的时模型名称中的点会被剔除，例如：gpt-4.1会请求为gpt-41，所以在Azure部署的时候，部署模型名称需要手动改为gpt-41": "Note that the dot in the model name requested by the system will be removed, for example: gpt-4.1 will be requested as gpt-41, so when deploying on Azure, the deployment model name needs to be manually changed to gpt-41",
+  "2025年5月10日后添加的渠道，不需要再在部署的时候移除模型名称中的\".\"": "After May 10, 2025, channels added do not need to remove the dot in the model name during deployment",
   "模型映射必须是合法的 JSON 格式！": "Model mapping must be in valid JSON format!",
   "取消无限额度": "Cancel unlimited quota",
   "取消": "Cancel",

web/src/pages/Channel/EditChannel.js

@@ -477,24 +477,24 @@ const EditChannel = (props) => {
                   type={'warning'}
                   description={
                     <>
-                      {t('注意，系统请求的时模型名称中的点会被剔除，例如：gpt-4.1会请求为gpt-41，所以在Azure部署的时候，部署模型名称需要手动改为gpt-41')}
-                      <br />
-                      <Typography.Text
-                        style={{
-                          color: 'rgba(var(--semi-blue-5), 1)',
-                          userSelect: 'none',
-                          cursor: 'pointer',
-                        }}
-                        onClick={() => {
-                          setModalImageUrl(
-                            '/azure_model_name.png',
-                          );
-                          setIsModalOpenurl(true)
+                      {t('2025年5月10日后添加的渠道，不需要再在部署的时候移除模型名称中的"."')}
+                      {/*<br />*/}
+                      {/*<Typography.Text*/}
+                      {/*  style={{*/}
+                      {/*    color: 'rgba(var(--semi-blue-5), 1)',*/}
+                      {/*    userSelect: 'none',*/}
+                      {/*    cursor: 'pointer',*/}
+                      {/*  }}*/}
+                      {/*  onClick={() => {*/}
+                      {/*    setModalImageUrl(*/}
+                      {/*      '/azure_model_name.png',*/}
+                      {/*    );*/}
+                      {/*    setIsModalOpenurl(true)*/}
 
-                        }}
-                      >
-                        {t('查看示例')}
-                      </Typography.Text>
+                      {/*  }}*/}
+                      {/*>*/}
+                      {/*  {t('查看示例')}*/}
+                      {/*</Typography.Text>*/}
                     </>
                   }
                 ></Banner>

web/src/pages/User/EditUser.js

@@ -239,7 +239,7 @@ const EditUser = (props) => {
             readonly
           />
           <div style={{ marginTop: 20 }}>
-            <Typography.Text>{t('`已绑定的 OIDC 账户')}</Typography.Text>
+            <Typography.Text>{t('已绑定的 OIDC 账户')}</Typography.Text>
           </div>
           <Input
             name='oidc_id'