Merge branch 'QuantumNous:main' into main
This commit is contained in:
235
README.en.md
235
README.en.md
@@ -1,10 +1,13 @@
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<p align="right">
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<a href="./README.md">中文</a> | <strong>English</strong>
|
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</p>
|
||||
<div align="center">
|
||||
|
||||

|
||||
|
||||
# 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>
|
||||
|
||||
@@ -33,170 +36,158 @@
|
||||
> 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/)
|
||||
|
||||
You can also access the AI-generated DeepWiki:
|
||||
[](https://deepwiki.com/QuantumNous/new-api)
|
||||
|
||||
## ✨ 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] 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 `2025-04-01-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`
|
||||
- `ERROR_LOG_ENABLED=true`: Whether to record and display error logs, default is `false`
|
||||
|
||||
## 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
|
||||
|
||||
### 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
|
||||
|
||||
|
||||
@@ -44,6 +44,9 @@
|
||||
|
||||
详细文档请访问我们的官方Wiki:[https://docs.newapi.pro/](https://docs.newapi.pro/)
|
||||
|
||||
也可访问AI生成的DeepWiki:
|
||||
[](https://deepwiki.com/QuantumNous/new-api)
|
||||
|
||||
## ✨ 主要特性
|
||||
|
||||
New API提供了丰富的功能,详细特性请参考[特性说明](https://docs.newapi.pro/wiki/features-introduction):
|
||||
@@ -107,9 +110,10 @@ New API提供了丰富的功能,详细特性请参考[特性说明](https://do
|
||||
- `GEMINI_VISION_MAX_IMAGE_NUM`:Gemini模型最大图片数量,默认 `16`
|
||||
- `MAX_FILE_DOWNLOAD_MB`: 最大文件下载大小,单位MB,默认 `20`
|
||||
- `CRYPTO_SECRET`:加密密钥,用于加密数据库内容
|
||||
- `AZURE_DEFAULT_API_VERSION`:Azure渠道默认API版本,默认 `2024-12-01-preview`
|
||||
- `AZURE_DEFAULT_API_VERSION`:Azure渠道默认API版本,默认 `2025-04-01-preview`
|
||||
- `NOTIFICATION_LIMIT_DURATION_MINUTE`:通知限制持续时间,默认 `10`分钟
|
||||
- `NOTIFY_LIMIT_COUNT`:用户通知在指定持续时间内的最大数量,默认 `2`
|
||||
- `ERROR_LOG_ENABLED=true`: 是否记录并显示错误日志,默认`false`
|
||||
|
||||
## 部署
|
||||
|
||||
@@ -130,7 +134,7 @@ 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
|
||||
|
||||
@@ -240,6 +240,7 @@ const (
|
||||
ChannelTypeBaiduV2 = 46
|
||||
ChannelTypeXinference = 47
|
||||
ChannelTypeXai = 48
|
||||
ChannelTypeCoze = 49
|
||||
ChannelTypeDummy // this one is only for count, do not add any channel after this
|
||||
|
||||
)
|
||||
@@ -294,4 +295,5 @@ var ChannelBaseURLs = []string{
|
||||
"https://qianfan.baidubce.com", //46
|
||||
"", //47
|
||||
"https://api.x.ai", //48
|
||||
"https://api.coze.cn", //49
|
||||
}
|
||||
|
||||
5
constant/azure.go
Normal file
5
constant/azure.go
Normal file
@@ -0,0 +1,5 @@
|
||||
package constant
|
||||
|
||||
import "time"
|
||||
|
||||
var AzureNoRemoveDotTime = time.Date(2025, time.May, 10, 0, 0, 0, 0, time.UTC).Unix()
|
||||
@@ -31,7 +31,7 @@ func InitEnv() {
|
||||
GetMediaToken = common.GetEnvOrDefaultBool("GET_MEDIA_TOKEN", true)
|
||||
GetMediaTokenNotStream = common.GetEnvOrDefaultBool("GET_MEDIA_TOKEN_NOT_STREAM", true)
|
||||
UpdateTask = common.GetEnvOrDefaultBool("UPDATE_TASK", true)
|
||||
AzureDefaultAPIVersion = common.GetEnvOrDefaultString("AZURE_DEFAULT_API_VERSION", "2024-12-01-preview")
|
||||
AzureDefaultAPIVersion = common.GetEnvOrDefaultString("AZURE_DEFAULT_API_VERSION", "2025-04-01-preview")
|
||||
GeminiVisionMaxImageNum = common.GetEnvOrDefault("GEMINI_VISION_MAX_IMAGE_NUM", 16)
|
||||
NotifyLimitCount = common.GetEnvOrDefault("NOTIFY_LIMIT_COUNT", 2)
|
||||
NotificationLimitDurationMinute = common.GetEnvOrDefault("NOTIFICATION_LIMIT_DURATION_MINUTE", 10)
|
||||
|
||||
@@ -108,6 +108,13 @@ type DeepSeekUsageResponse struct {
|
||||
} `json:"balance_infos"`
|
||||
}
|
||||
|
||||
type OpenRouterCreditResponse struct {
|
||||
Data struct {
|
||||
TotalCredits float64 `json:"total_credits"`
|
||||
TotalUsage float64 `json:"total_usage"`
|
||||
} `json:"data"`
|
||||
}
|
||||
|
||||
// GetAuthHeader get auth header
|
||||
func GetAuthHeader(token string) http.Header {
|
||||
h := http.Header{}
|
||||
@@ -281,6 +288,22 @@ func updateChannelAIGC2DBalance(channel *model.Channel) (float64, error) {
|
||||
return response.TotalAvailable, nil
|
||||
}
|
||||
|
||||
func updateChannelOpenRouterBalance(channel *model.Channel) (float64, error) {
|
||||
url := "https://openrouter.ai/api/v1/credits"
|
||||
body, err := GetResponseBody("GET", url, channel, GetAuthHeader(channel.Key))
|
||||
if err != nil {
|
||||
return 0, err
|
||||
}
|
||||
response := OpenRouterCreditResponse{}
|
||||
err = json.Unmarshal(body, &response)
|
||||
if err != nil {
|
||||
return 0, err
|
||||
}
|
||||
balance := response.Data.TotalCredits - response.Data.TotalUsage
|
||||
channel.UpdateBalance(balance)
|
||||
return balance, nil
|
||||
}
|
||||
|
||||
func updateChannelBalance(channel *model.Channel) (float64, error) {
|
||||
baseURL := common.ChannelBaseURLs[channel.Type]
|
||||
if channel.GetBaseURL() == "" {
|
||||
@@ -307,6 +330,8 @@ func updateChannelBalance(channel *model.Channel) (float64, error) {
|
||||
return updateChannelSiliconFlowBalance(channel)
|
||||
case common.ChannelTypeDeepSeek:
|
||||
return updateChannelDeepSeekBalance(channel)
|
||||
case common.ChannelTypeOpenRouter:
|
||||
return updateChannelOpenRouterBalance(channel)
|
||||
default:
|
||||
return 0, errors.New("尚未实现")
|
||||
}
|
||||
|
||||
@@ -119,8 +119,11 @@ func FetchUpstreamModels(c *gin.Context) {
|
||||
baseURL = channel.GetBaseURL()
|
||||
}
|
||||
url := fmt.Sprintf("%s/v1/models", baseURL)
|
||||
if channel.Type == common.ChannelTypeGemini {
|
||||
switch channel.Type {
|
||||
case common.ChannelTypeGemini:
|
||||
url = fmt.Sprintf("%s/v1beta/openai/models", baseURL)
|
||||
case common.ChannelTypeAli:
|
||||
url = fmt.Sprintf("%s/compatible-mode/v1/models", baseURL)
|
||||
}
|
||||
body, err := GetResponseBody("GET", url, channel, GetAuthHeader(channel.Key))
|
||||
if err != nil {
|
||||
|
||||
@@ -110,6 +110,15 @@ func UpdateOption(c *gin.Context) {
|
||||
})
|
||||
return
|
||||
}
|
||||
case "ModelRequestRateLimitGroup":
|
||||
err = setting.CheckModelRequestRateLimitGroup(option.Value)
|
||||
if err != nil {
|
||||
c.JSON(http.StatusOK, gin.H{
|
||||
"success": false,
|
||||
"message": err.Error(),
|
||||
})
|
||||
return
|
||||
}
|
||||
|
||||
}
|
||||
err = model.UpdateOption(option.Key, option.Value)
|
||||
|
||||
@@ -4,8 +4,6 @@ import (
|
||||
"bytes"
|
||||
"errors"
|
||||
"fmt"
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/gorilla/websocket"
|
||||
"io"
|
||||
"log"
|
||||
"net/http"
|
||||
@@ -20,6 +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 {
|
||||
@@ -37,6 +38,10 @@ 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)
|
||||
case relayconstant.RelayModeGemini:
|
||||
err = relay.GeminiHelper(c)
|
||||
default:
|
||||
err = relay.TextHelper(c)
|
||||
}
|
||||
|
||||
@@ -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 {
|
||||
|
||||
@@ -18,6 +18,7 @@ type ClaudeMediaMessage struct {
|
||||
Thinking string `json:"thinking,omitempty"`
|
||||
Signature string `json:"signature,omitempty"`
|
||||
Delta string `json:"delta,omitempty"`
|
||||
CacheControl json.RawMessage `json:"cache_control,omitempty"`
|
||||
// tool_calls
|
||||
Id string `json:"id,omitempty"`
|
||||
Name string `json:"name,omitempty"`
|
||||
|
||||
@@ -12,6 +12,9 @@ type ImageRequest struct {
|
||||
Style string `json:"style,omitempty"`
|
||||
User string `json:"user,omitempty"`
|
||||
ExtraFields json.RawMessage `json:"extra_fields,omitempty"`
|
||||
Background string `json:"background,omitempty"`
|
||||
Moderation string `json:"moderation,omitempty"`
|
||||
OutputFormat string `json:"output_format,omitempty"`
|
||||
}
|
||||
|
||||
type ImageResponse struct {
|
||||
|
||||
@@ -2,6 +2,7 @@ package dto
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"one-api/common"
|
||||
"strings"
|
||||
)
|
||||
|
||||
@@ -28,7 +29,6 @@ type GeneralOpenAIRequest struct {
|
||||
MaxTokens uint `json:"max_tokens,omitempty"`
|
||||
MaxCompletionTokens uint `json:"max_completion_tokens,omitempty"`
|
||||
ReasoningEffort string `json:"reasoning_effort,omitempty"`
|
||||
//Reasoning json.RawMessage `json:"reasoning,omitempty"`
|
||||
Temperature *float64 `json:"temperature,omitempty"`
|
||||
TopP float64 `json:"top_p,omitempty"`
|
||||
TopK int `json:"top_k,omitempty"`
|
||||
@@ -43,6 +43,7 @@ type GeneralOpenAIRequest struct {
|
||||
ResponseFormat *ResponseFormat `json:"response_format,omitempty"`
|
||||
EncodingFormat any `json:"encoding_format,omitempty"`
|
||||
Seed float64 `json:"seed,omitempty"`
|
||||
ParallelTooCalls *bool `json:"parallel_tool_calls,omitempty"`
|
||||
Tools []ToolCallRequest `json:"tools,omitempty"`
|
||||
ToolChoice any `json:"tool_choice,omitempty"`
|
||||
User string `json:"user,omitempty"`
|
||||
@@ -53,6 +54,16 @@ type GeneralOpenAIRequest struct {
|
||||
Audio any `json:"audio,omitempty"`
|
||||
EnableThinking any `json:"enable_thinking,omitempty"` // ali
|
||||
ExtraBody any `json:"extra_body,omitempty"`
|
||||
WebSearchOptions *WebSearchOptions `json:"web_search_options,omitempty"`
|
||||
// OpenRouter Params
|
||||
Reasoning json.RawMessage `json:"reasoning,omitempty"`
|
||||
}
|
||||
|
||||
func (r *GeneralOpenAIRequest) ToMap() map[string]any {
|
||||
result := make(map[string]any)
|
||||
data, _ := common.EncodeJson(r)
|
||||
_ = common.DecodeJson(data, &result)
|
||||
return result
|
||||
}
|
||||
|
||||
type ToolCallRequest struct {
|
||||
@@ -72,11 +83,11 @@ type StreamOptions struct {
|
||||
IncludeUsage bool `json:"include_usage,omitempty"`
|
||||
}
|
||||
|
||||
func (r GeneralOpenAIRequest) GetMaxTokens() int {
|
||||
func (r *GeneralOpenAIRequest) GetMaxTokens() int {
|
||||
return int(r.MaxTokens)
|
||||
}
|
||||
|
||||
func (r GeneralOpenAIRequest) ParseInput() []string {
|
||||
func (r *GeneralOpenAIRequest) ParseInput() []string {
|
||||
if r.Input == nil {
|
||||
return nil
|
||||
}
|
||||
@@ -114,6 +125,9 @@ 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"`
|
||||
// OpenRouter Params
|
||||
CacheControl json.RawMessage `json:"cache_control,omitempty"`
|
||||
}
|
||||
|
||||
func (m *MediaContent) GetImageMedia() *MessageImageUrl {
|
||||
@@ -158,11 +172,16 @@ 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 {
|
||||
@@ -346,6 +365,15 @@ 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,
|
||||
},
|
||||
})
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -355,3 +383,54 @@ func (m *Message) ParseContent() []MediaContent {
|
||||
}
|
||||
return contentList
|
||||
}
|
||||
|
||||
type WebSearchOptions struct {
|
||||
SearchContextSize string `json:"search_context_size,omitempty"`
|
||||
UserLocation json.RawMessage `json:"user_location,omitempty"`
|
||||
}
|
||||
|
||||
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"`
|
||||
}
|
||||
|
||||
@@ -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"`
|
||||
}
|
||||
|
||||
21
main.go
21
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
|
||||
@@ -87,9 +89,22 @@ func main() {
|
||||
if common.MemoryCacheEnabled {
|
||||
common.SysLog("memory cache enabled")
|
||||
common.SysError(fmt.Sprintf("sync frequency: %d seconds", common.SyncFrequency))
|
||||
model.InitChannelCache()
|
||||
|
||||
// Add panic recovery and retry for InitChannelCache
|
||||
func() {
|
||||
defer func() {
|
||||
if r := recover(); r != nil {
|
||||
common.SysError(fmt.Sprintf("InitChannelCache panic: %v, retrying once", r))
|
||||
// Retry once
|
||||
_, fixErr := model.FixAbility()
|
||||
if fixErr != nil {
|
||||
common.SysError(fmt.Sprintf("InitChannelCache failed: %s", fixErr.Error()))
|
||||
}
|
||||
if common.MemoryCacheEnabled {
|
||||
}
|
||||
}()
|
||||
model.InitChannelCache()
|
||||
}()
|
||||
|
||||
go model.SyncOptions(common.SyncFrequency)
|
||||
go model.SyncChannelCache(common.SyncFrequency)
|
||||
}
|
||||
@@ -133,8 +148,6 @@ func main() {
|
||||
common.SysLog("pprof enabled")
|
||||
}
|
||||
|
||||
service.InitTokenEncoders()
|
||||
|
||||
// Initialize HTTP server
|
||||
server := gin.New()
|
||||
server.Use(gin.CustomRecovery(func(c *gin.Context, err any) {
|
||||
|
||||
@@ -1,13 +1,14 @@
|
||||
package middleware
|
||||
|
||||
import (
|
||||
"github.com/gin-contrib/sessions"
|
||||
"github.com/gin-gonic/gin"
|
||||
"net/http"
|
||||
"one-api/common"
|
||||
"one-api/model"
|
||||
"strconv"
|
||||
"strings"
|
||||
|
||||
"github.com/gin-contrib/sessions"
|
||||
"github.com/gin-gonic/gin"
|
||||
)
|
||||
|
||||
func validUserInfo(username string, role int) bool {
|
||||
@@ -182,6 +183,13 @@ func TokenAuth() func(c *gin.Context) {
|
||||
c.Request.Header.Set("Authorization", "Bearer "+key)
|
||||
}
|
||||
}
|
||||
// gemini api 从query中获取key
|
||||
if strings.HasPrefix(c.Request.URL.Path, "/v1beta/models/") {
|
||||
skKey := c.Query("key")
|
||||
if skKey != "" {
|
||||
c.Request.Header.Set("Authorization", "Bearer "+skKey)
|
||||
}
|
||||
}
|
||||
key := c.Request.Header.Get("Authorization")
|
||||
parts := make([]string, 0)
|
||||
key = strings.TrimPrefix(key, "Bearer ")
|
||||
|
||||
@@ -162,6 +162,14 @@ func getModelRequest(c *gin.Context) (*ModelRequest, bool, error) {
|
||||
}
|
||||
c.Set("platform", string(constant.TaskPlatformSuno))
|
||||
c.Set("relay_mode", relayMode)
|
||||
} else if strings.HasPrefix(c.Request.URL.Path, "/v1beta/models/") {
|
||||
// Gemini API 路径处理: /v1beta/models/gemini-2.0-flash:generateContent
|
||||
relayMode := relayconstant.RelayModeGemini
|
||||
modelName := extractModelNameFromGeminiPath(c.Request.URL.Path)
|
||||
if modelName != "" {
|
||||
modelRequest.Model = modelName
|
||||
}
|
||||
c.Set("relay_mode", relayMode)
|
||||
} else if !strings.HasPrefix(c.Request.URL.Path, "/v1/audio/transcriptions") && !strings.HasPrefix(c.Request.URL.Path, "/v1/images/edits") {
|
||||
err = common.UnmarshalBodyReusable(c, &modelRequest)
|
||||
}
|
||||
@@ -185,7 +193,7 @@ func getModelRequest(c *gin.Context) (*ModelRequest, bool, error) {
|
||||
if strings.HasPrefix(c.Request.URL.Path, "/v1/images/generations") {
|
||||
modelRequest.Model = common.GetStringIfEmpty(modelRequest.Model, "dall-e")
|
||||
} else if strings.HasPrefix(c.Request.URL.Path, "/v1/images/edits") {
|
||||
modelRequest.Model = common.GetStringIfEmpty(modelRequest.Model, "gpt-image-1")
|
||||
modelRequest.Model = common.GetStringIfEmpty(c.PostForm("model"), "gpt-image-1")
|
||||
}
|
||||
if strings.HasPrefix(c.Request.URL.Path, "/v1/audio") {
|
||||
relayMode := relayconstant.RelayModeAudioSpeech
|
||||
@@ -213,6 +221,7 @@ 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 {
|
||||
@@ -239,5 +248,35 @@ func SetupContextForSelectedChannel(c *gin.Context, channel *model.Channel, mode
|
||||
c.Set("api_version", channel.Other)
|
||||
case common.ChannelTypeMokaAI:
|
||||
c.Set("api_version", channel.Other)
|
||||
case common.ChannelTypeCoze:
|
||||
c.Set("bot_id", channel.Other)
|
||||
}
|
||||
}
|
||||
|
||||
// extractModelNameFromGeminiPath 从 Gemini API URL 路径中提取模型名
|
||||
// 输入格式: /v1beta/models/gemini-2.0-flash:generateContent
|
||||
// 输出: gemini-2.0-flash
|
||||
func extractModelNameFromGeminiPath(path string) string {
|
||||
// 查找 "/models/" 的位置
|
||||
modelsPrefix := "/models/"
|
||||
modelsIndex := strings.Index(path, modelsPrefix)
|
||||
if modelsIndex == -1 {
|
||||
return ""
|
||||
}
|
||||
|
||||
// 从 "/models/" 之后开始提取
|
||||
startIndex := modelsIndex + len(modelsPrefix)
|
||||
if startIndex >= len(path) {
|
||||
return ""
|
||||
}
|
||||
|
||||
// 查找 ":" 的位置,模型名在 ":" 之前
|
||||
colonIndex := strings.Index(path[startIndex:], ":")
|
||||
if colonIndex == -1 {
|
||||
// 如果没有找到 ":",返回从 "/models/" 到路径结尾的部分
|
||||
return path[startIndex:]
|
||||
}
|
||||
|
||||
// 返回模型名部分
|
||||
return path[startIndex : startIndex+colonIndex]
|
||||
}
|
||||
|
||||
@@ -6,6 +6,7 @@ import (
|
||||
"net/http"
|
||||
"one-api/common"
|
||||
"one-api/common/limiter"
|
||||
"one-api/constant"
|
||||
"one-api/setting"
|
||||
"strconv"
|
||||
"time"
|
||||
@@ -93,6 +94,7 @@ 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
|
||||
if totalMaxCount > 0 {
|
||||
totalKey := fmt.Sprintf("rateLimit:%s", userId)
|
||||
// 初始化
|
||||
tb := limiter.New(ctx, rdb)
|
||||
@@ -113,6 +115,7 @@ func redisRateLimitHandler(duration int64, totalMaxCount, successMaxCount int) g
|
||||
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
|
||||
c.Next()
|
||||
@@ -173,6 +176,19 @@ func ModelRequestRateLimit() func(c *gin.Context) {
|
||||
totalMaxCount := setting.ModelRequestRateLimitCount
|
||||
successMaxCount := setting.ModelRequestRateLimitSuccessCount
|
||||
|
||||
// 获取分组
|
||||
group := c.GetString("token_group")
|
||||
if group == "" {
|
||||
group = c.GetString(constant.ContextKeyUserGroup)
|
||||
}
|
||||
|
||||
//获取分组的限流配置
|
||||
groupTotalCount, groupSuccessCount, found := setting.GetGroupRateLimit(group)
|
||||
if found {
|
||||
totalMaxCount = groupTotalCount
|
||||
successMaxCount = groupSuccessCount
|
||||
}
|
||||
|
||||
// 根据存储类型选择并执行限流处理器
|
||||
if common.RedisEnabled {
|
||||
redisRateLimitHandler(duration, totalMaxCount, successMaxCount)(c)
|
||||
|
||||
@@ -261,12 +261,28 @@ func FixAbility() (int, error) {
|
||||
common.SysError(fmt.Sprintf("Get channel ids from channel table failed: %s", err.Error()))
|
||||
return 0, err
|
||||
}
|
||||
// Delete abilities of channels that are not in channel table
|
||||
err = DB.Where("channel_id NOT IN (?)", channelIds).Delete(&Ability{}).Error
|
||||
|
||||
// Delete abilities of channels that are not in channel table - in batches to avoid too many placeholders
|
||||
if len(channelIds) > 0 {
|
||||
// Process deletion in chunks to avoid "too many placeholders" error
|
||||
for _, chunk := range lo.Chunk(channelIds, 100) {
|
||||
err = DB.Where("channel_id NOT IN (?)", chunk).Delete(&Ability{}).Error
|
||||
if err != nil {
|
||||
common.SysError(fmt.Sprintf("Delete abilities of channels that are not in channel table failed: %s", err.Error()))
|
||||
common.SysError(fmt.Sprintf("Delete abilities of channels (batch) that are not in channel table failed: %s", err.Error()))
|
||||
return 0, err
|
||||
}
|
||||
}
|
||||
} else {
|
||||
// If no channels exist, delete all abilities
|
||||
err = DB.Delete(&Ability{}).Error
|
||||
if err != nil {
|
||||
common.SysError(fmt.Sprintf("Delete all abilities failed: %s", err.Error()))
|
||||
return 0, err
|
||||
}
|
||||
common.SysLog("Delete all abilities successfully")
|
||||
return 0, nil
|
||||
}
|
||||
|
||||
common.SysLog(fmt.Sprintf("Delete abilities of channels that are not in channel table successfully, ids: %v", channelIds))
|
||||
count += len(channelIds)
|
||||
|
||||
@@ -275,17 +291,26 @@ func FixAbility() (int, error) {
|
||||
err = DB.Table("abilities").Distinct("channel_id").Pluck("channel_id", &abilityChannelIds).Error
|
||||
if err != nil {
|
||||
common.SysError(fmt.Sprintf("Get channel ids from abilities table failed: %s", err.Error()))
|
||||
return 0, err
|
||||
return count, err
|
||||
}
|
||||
|
||||
var channels []Channel
|
||||
if len(abilityChannelIds) == 0 {
|
||||
err = DB.Find(&channels).Error
|
||||
} else {
|
||||
err = DB.Where("id NOT IN (?)", abilityChannelIds).Find(&channels).Error
|
||||
}
|
||||
// Process query in chunks to avoid "too many placeholders" error
|
||||
err = nil
|
||||
for _, chunk := range lo.Chunk(abilityChannelIds, 100) {
|
||||
var channelsChunk []Channel
|
||||
err = DB.Where("id NOT IN (?)", chunk).Find(&channelsChunk).Error
|
||||
if err != nil {
|
||||
return 0, err
|
||||
common.SysError(fmt.Sprintf("Find channels not in abilities table failed: %s", err.Error()))
|
||||
return count, err
|
||||
}
|
||||
channels = append(channels, channelsChunk...)
|
||||
}
|
||||
}
|
||||
|
||||
for _, channel := range channels {
|
||||
err := channel.UpdateAbilities(nil)
|
||||
if err != nil {
|
||||
|
||||
@@ -16,6 +16,9 @@ var channelsIDM map[int]*Channel
|
||||
var channelSyncLock sync.RWMutex
|
||||
|
||||
func InitChannelCache() {
|
||||
if !common.MemoryCacheEnabled {
|
||||
return
|
||||
}
|
||||
newChannelId2channel := make(map[int]*Channel)
|
||||
var channels []*Channel
|
||||
DB.Where("status = ?", common.ChannelStatusEnabled).Find(&channels)
|
||||
|
||||
@@ -46,6 +46,17 @@ func (channel *Channel) GetModels() []string {
|
||||
return strings.Split(strings.Trim(channel.Models, ","), ",")
|
||||
}
|
||||
|
||||
func (channel *Channel) GetGroups() []string {
|
||||
if channel.Group == "" {
|
||||
return []string{}
|
||||
}
|
||||
groups := strings.Split(strings.Trim(channel.Group, ","), ",")
|
||||
for i, group := range groups {
|
||||
groups[i] = strings.TrimSpace(group)
|
||||
}
|
||||
return groups
|
||||
}
|
||||
|
||||
func (channel *Channel) GetOtherInfo() map[string]interface{} {
|
||||
otherInfo := make(map[string]interface{})
|
||||
if channel.OtherInfo != "" {
|
||||
|
||||
@@ -67,6 +67,7 @@ func InitOptionMap() {
|
||||
common.OptionMap["ServerAddress"] = ""
|
||||
common.OptionMap["WorkerUrl"] = setting.WorkerUrl
|
||||
common.OptionMap["WorkerValidKey"] = setting.WorkerValidKey
|
||||
common.OptionMap["WorkerAllowHttpImageRequestEnabled"] = strconv.FormatBool(setting.WorkerAllowHttpImageRequestEnabled)
|
||||
common.OptionMap["PayAddress"] = ""
|
||||
common.OptionMap["CustomCallbackAddress"] = ""
|
||||
common.OptionMap["EpayId"] = ""
|
||||
@@ -92,6 +93,7 @@ func InitOptionMap() {
|
||||
common.OptionMap["ModelRequestRateLimitCount"] = strconv.Itoa(setting.ModelRequestRateLimitCount)
|
||||
common.OptionMap["ModelRequestRateLimitDurationMinutes"] = strconv.Itoa(setting.ModelRequestRateLimitDurationMinutes)
|
||||
common.OptionMap["ModelRequestRateLimitSuccessCount"] = strconv.Itoa(setting.ModelRequestRateLimitSuccessCount)
|
||||
common.OptionMap["ModelRequestRateLimitGroup"] = setting.ModelRequestRateLimitGroup2JSONString()
|
||||
common.OptionMap["ModelRatio"] = operation_setting.ModelRatio2JSONString()
|
||||
common.OptionMap["ModelPrice"] = operation_setting.ModelPrice2JSONString()
|
||||
common.OptionMap["CacheRatio"] = operation_setting.CacheRatio2JSONString()
|
||||
@@ -256,6 +258,8 @@ func updateOptionMap(key string, value string) (err error) {
|
||||
setting.StopOnSensitiveEnabled = boolValue
|
||||
case "SMTPSSLEnabled":
|
||||
common.SMTPSSLEnabled = boolValue
|
||||
case "WorkerAllowHttpImageRequestEnabled":
|
||||
setting.WorkerAllowHttpImageRequestEnabled = boolValue
|
||||
}
|
||||
}
|
||||
switch key {
|
||||
@@ -338,6 +342,8 @@ func updateOptionMap(key string, value string) (err error) {
|
||||
setting.ModelRequestRateLimitDurationMinutes, _ = strconv.Atoi(value)
|
||||
case "ModelRequestRateLimitSuccessCount":
|
||||
setting.ModelRequestRateLimitSuccessCount, _ = strconv.Atoi(value)
|
||||
case "ModelRequestRateLimitGroup":
|
||||
err = setting.UpdateModelRequestRateLimitGroupByJSONString(value)
|
||||
case "RetryTimes":
|
||||
common.RetryTimes, _ = strconv.Atoi(value)
|
||||
case "DataExportInterval":
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -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 {
|
||||
@@ -32,6 +33,8 @@ func (a *Adaptor) GetRequestURL(info *relaycommon.RelayInfo) (string, error) {
|
||||
fullRequestURL = fmt.Sprintf("%s/api/v1/services/embeddings/text-embedding/text-embedding", info.BaseUrl)
|
||||
case constant.RelayModeImagesGenerations:
|
||||
fullRequestURL = fmt.Sprintf("%s/api/v1/services/aigc/text2image/image-synthesis", info.BaseUrl)
|
||||
case constant.RelayModeCompletions:
|
||||
fullRequestURL = fmt.Sprintf("%s/compatible-mode/v1/completions", info.BaseUrl)
|
||||
default:
|
||||
fullRequestURL = fmt.Sprintf("%s/compatible-mode/v1/chat/completions", info.BaseUrl)
|
||||
}
|
||||
@@ -54,6 +57,12 @@ func (a *Adaptor) ConvertOpenAIRequest(c *gin.Context, info *relaycommon.RelayIn
|
||||
if request == nil {
|
||||
return nil, errors.New("request is nil")
|
||||
}
|
||||
|
||||
// fix: ali parameter.enable_thinking must be set to false for non-streaming calls
|
||||
if !info.IsStream {
|
||||
request.EnableThinking = false
|
||||
}
|
||||
|
||||
switch info.RelayMode {
|
||||
default:
|
||||
aliReq := requestOpenAI2Ali(*request)
|
||||
@@ -79,6 +88,11 @@ 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)
|
||||
}
|
||||
|
||||
@@ -1,16 +1,23 @@
|
||||
package channel
|
||||
|
||||
import (
|
||||
"context"
|
||||
"errors"
|
||||
"fmt"
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/gorilla/websocket"
|
||||
"io"
|
||||
"net/http"
|
||||
common2 "one-api/common"
|
||||
"one-api/relay/common"
|
||||
"one-api/relay/constant"
|
||||
"one-api/relay/helper"
|
||||
"one-api/service"
|
||||
"one-api/setting/operation_setting"
|
||||
"sync"
|
||||
"time"
|
||||
|
||||
"github.com/bytedance/gopkg/util/gopool"
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/gorilla/websocket"
|
||||
)
|
||||
|
||||
func SetupApiRequestHeader(info *common.RelayInfo, c *gin.Context, req *http.Header) {
|
||||
@@ -55,6 +62,9 @@ func DoFormRequest(a Adaptor, c *gin.Context, info *common.RelayInfo, requestBod
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("get request url failed: %w", err)
|
||||
}
|
||||
if common2.DebugEnabled {
|
||||
println("fullRequestURL:", fullRequestURL)
|
||||
}
|
||||
req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("new request failed: %w", err)
|
||||
@@ -94,6 +104,65 @@ func DoWssRequest(a Adaptor, c *gin.Context, info *common.RelayInfo, requestBody
|
||||
return targetConn, nil
|
||||
}
|
||||
|
||||
func startPingKeepAlive(c *gin.Context, pingInterval time.Duration) context.CancelFunc {
|
||||
pingerCtx, stopPinger := context.WithCancel(context.Background())
|
||||
|
||||
gopool.Go(func() {
|
||||
defer func() {
|
||||
if common2.DebugEnabled {
|
||||
println("SSE ping goroutine stopped.")
|
||||
}
|
||||
}()
|
||||
|
||||
if pingInterval <= 0 {
|
||||
pingInterval = helper.DefaultPingInterval
|
||||
}
|
||||
|
||||
ticker := time.NewTicker(pingInterval)
|
||||
// 退出时清理 ticker
|
||||
defer ticker.Stop()
|
||||
|
||||
var pingMutex sync.Mutex
|
||||
if common2.DebugEnabled {
|
||||
println("SSE ping goroutine started")
|
||||
}
|
||||
|
||||
for {
|
||||
select {
|
||||
// 发送 ping 数据
|
||||
case <-ticker.C:
|
||||
if err := sendPingData(c, &pingMutex); err != nil {
|
||||
return
|
||||
}
|
||||
// 收到退出信号
|
||||
case <-pingerCtx.Done():
|
||||
return
|
||||
// request 结束
|
||||
case <-c.Request.Context().Done():
|
||||
return
|
||||
}
|
||||
}
|
||||
})
|
||||
|
||||
return stopPinger
|
||||
}
|
||||
|
||||
func sendPingData(c *gin.Context, mutex *sync.Mutex) error {
|
||||
mutex.Lock()
|
||||
defer mutex.Unlock()
|
||||
|
||||
err := helper.PingData(c)
|
||||
if err != nil {
|
||||
common2.LogError(c, "SSE ping error: "+err.Error())
|
||||
return err
|
||||
}
|
||||
|
||||
if common2.DebugEnabled {
|
||||
println("SSE ping data sent.")
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
func doRequest(c *gin.Context, req *http.Request, info *common.RelayInfo) (*http.Response, error) {
|
||||
var client *http.Client
|
||||
var err error
|
||||
@@ -105,13 +174,28 @@ func doRequest(c *gin.Context, req *http.Request, info *common.RelayInfo) (*http
|
||||
} else {
|
||||
client = service.GetHttpClient()
|
||||
}
|
||||
|
||||
if info.IsStream {
|
||||
helper.SetEventStreamHeaders(c)
|
||||
|
||||
// 处理流式请求的 ping 保活
|
||||
generalSettings := operation_setting.GetGeneralSetting()
|
||||
if generalSettings.PingIntervalEnabled {
|
||||
pingInterval := time.Duration(generalSettings.PingIntervalSeconds) * time.Second
|
||||
stopPinger := startPingKeepAlive(c, pingInterval)
|
||||
defer stopPinger()
|
||||
}
|
||||
}
|
||||
|
||||
resp, err := client.Do(req)
|
||||
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
if resp == nil {
|
||||
return nil, errors.New("resp is nil")
|
||||
}
|
||||
|
||||
_ = req.Body.Close()
|
||||
_ = c.Request.Body.Close()
|
||||
return resp, nil
|
||||
|
||||
@@ -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
|
||||
}
|
||||
|
||||
@@ -11,6 +11,8 @@ var awsModelIDMap = map[string]string{
|
||||
"claude-3-5-sonnet-20241022": "anthropic.claude-3-5-sonnet-20241022-v2:0",
|
||||
"claude-3-5-haiku-20241022": "anthropic.claude-3-5-haiku-20241022-v1:0",
|
||||
"claude-3-7-sonnet-20250219": "anthropic.claude-3-7-sonnet-20250219-v1:0",
|
||||
"claude-sonnet-4-20250514": "anthropic.claude-sonnet-4-20250514-v1:0",
|
||||
"claude-opus-4-20250514": "anthropic.claude-opus-4-20250514-v1:0",
|
||||
}
|
||||
|
||||
var awsModelCanCrossRegionMap = map[string]map[string]bool{
|
||||
@@ -41,6 +43,16 @@ var awsModelCanCrossRegionMap = map[string]map[string]bool{
|
||||
},
|
||||
"anthropic.claude-3-7-sonnet-20250219-v1:0": {
|
||||
"us": true,
|
||||
"ap": true,
|
||||
"eu": true,
|
||||
},
|
||||
"anthropic.claude-sonnet-4-20250514-v1:0": {
|
||||
"us": true,
|
||||
"ap": true,
|
||||
"eu": true,
|
||||
},
|
||||
"anthropic.claude-opus-4-20250514-v1:0": {
|
||||
"us": true,
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
@@ -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)
|
||||
}
|
||||
|
||||
@@ -3,13 +3,15 @@ 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"
|
||||
"strings"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
)
|
||||
|
||||
type Adaptor struct {
|
||||
@@ -48,6 +50,18 @@ func (a *Adaptor) ConvertOpenAIRequest(c *gin.Context, info *relaycommon.RelayIn
|
||||
if request == nil {
|
||||
return nil, errors.New("request is nil")
|
||||
}
|
||||
if strings.HasSuffix(info.UpstreamModelName, "-search") {
|
||||
info.UpstreamModelName = strings.TrimSuffix(info.UpstreamModelName, "-search")
|
||||
request.Model = info.UpstreamModelName
|
||||
toMap := request.ToMap()
|
||||
toMap["web_search"] = map[string]any{
|
||||
"enable": true,
|
||||
"enable_citation": true,
|
||||
"enable_trace": true,
|
||||
"enable_status": false,
|
||||
}
|
||||
return toMap, nil
|
||||
}
|
||||
return request, nil
|
||||
}
|
||||
|
||||
@@ -60,6 +74,11 @@ 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)
|
||||
}
|
||||
|
||||
@@ -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 (
|
||||
@@ -37,10 +38,10 @@ func (a *Adaptor) ConvertImageRequest(c *gin.Context, info *relaycommon.RelayInf
|
||||
}
|
||||
|
||||
func (a *Adaptor) Init(info *relaycommon.RelayInfo) {
|
||||
if strings.HasPrefix(info.UpstreamModelName, "claude-3") {
|
||||
a.RequestMode = RequestModeMessage
|
||||
} else {
|
||||
if strings.HasPrefix(info.UpstreamModelName, "claude-2") || strings.HasPrefix(info.UpstreamModelName, "claude-instant") {
|
||||
a.RequestMode = RequestModeCompletion
|
||||
} else {
|
||||
a.RequestMode = RequestModeMessage
|
||||
}
|
||||
}
|
||||
|
||||
@@ -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)
|
||||
}
|
||||
|
||||
@@ -13,6 +13,10 @@ var ModelList = []string{
|
||||
"claude-3-5-sonnet-20241022",
|
||||
"claude-3-7-sonnet-20250219",
|
||||
"claude-3-7-sonnet-20250219-thinking",
|
||||
"claude-sonnet-4-20250514",
|
||||
"claude-sonnet-4-20250514-thinking",
|
||||
"claude-opus-4-20250514",
|
||||
"claude-opus-4-20250514-thinking",
|
||||
}
|
||||
|
||||
var ChannelName = "claude"
|
||||
|
||||
@@ -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)
|
||||
}
|
||||
|
||||
@@ -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)
|
||||
}
|
||||
|
||||
132
relay/channel/coze/adaptor.go
Normal file
132
relay/channel/coze/adaptor.go
Normal file
@@ -0,0 +1,132 @@
|
||||
package coze
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"errors"
|
||||
"fmt"
|
||||
"io"
|
||||
"net/http"
|
||||
"one-api/dto"
|
||||
"one-api/relay/channel"
|
||||
"one-api/relay/common"
|
||||
"time"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
)
|
||||
|
||||
type Adaptor struct {
|
||||
}
|
||||
|
||||
// ConvertAudioRequest implements channel.Adaptor.
|
||||
func (a *Adaptor) ConvertAudioRequest(c *gin.Context, info *common.RelayInfo, request dto.AudioRequest) (io.Reader, error) {
|
||||
return nil, errors.New("not implemented")
|
||||
}
|
||||
|
||||
// ConvertClaudeRequest implements channel.Adaptor.
|
||||
func (a *Adaptor) ConvertClaudeRequest(c *gin.Context, info *common.RelayInfo, request *dto.ClaudeRequest) (any, error) {
|
||||
return nil, errors.New("not implemented")
|
||||
}
|
||||
|
||||
// ConvertEmbeddingRequest implements channel.Adaptor.
|
||||
func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *common.RelayInfo, request dto.EmbeddingRequest) (any, error) {
|
||||
return nil, errors.New("not implemented")
|
||||
}
|
||||
|
||||
// ConvertImageRequest implements channel.Adaptor.
|
||||
func (a *Adaptor) ConvertImageRequest(c *gin.Context, info *common.RelayInfo, request dto.ImageRequest) (any, error) {
|
||||
return nil, errors.New("not implemented")
|
||||
}
|
||||
|
||||
// ConvertOpenAIRequest implements channel.Adaptor.
|
||||
func (a *Adaptor) ConvertOpenAIRequest(c *gin.Context, info *common.RelayInfo, request *dto.GeneralOpenAIRequest) (any, error) {
|
||||
if request == nil {
|
||||
return nil, errors.New("request is nil")
|
||||
}
|
||||
return convertCozeChatRequest(c, *request), nil
|
||||
}
|
||||
|
||||
// ConvertOpenAIResponsesRequest implements channel.Adaptor.
|
||||
func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *common.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
|
||||
return nil, errors.New("not implemented")
|
||||
}
|
||||
|
||||
// ConvertRerankRequest implements channel.Adaptor.
|
||||
func (a *Adaptor) ConvertRerankRequest(c *gin.Context, relayMode int, request dto.RerankRequest) (any, error) {
|
||||
return nil, errors.New("not implemented")
|
||||
}
|
||||
|
||||
// DoRequest implements channel.Adaptor.
|
||||
func (a *Adaptor) DoRequest(c *gin.Context, info *common.RelayInfo, requestBody io.Reader) (any, error) {
|
||||
if info.IsStream {
|
||||
return channel.DoApiRequest(a, c, info, requestBody)
|
||||
}
|
||||
// 首先发送创建消息请求,成功后再发送获取消息请求
|
||||
// 发送创建消息请求
|
||||
resp, err := channel.DoApiRequest(a, c, info, requestBody)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
// 解析 resp
|
||||
var cozeResponse CozeChatResponse
|
||||
respBody, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
err = json.Unmarshal(respBody, &cozeResponse)
|
||||
if cozeResponse.Code != 0 {
|
||||
return nil, errors.New(cozeResponse.Msg)
|
||||
}
|
||||
c.Set("coze_conversation_id", cozeResponse.Data.ConversationId)
|
||||
c.Set("coze_chat_id", cozeResponse.Data.Id)
|
||||
// 轮询检查消息是否完成
|
||||
for {
|
||||
err, isComplete := checkIfChatComplete(a, c, info)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
} else {
|
||||
if isComplete {
|
||||
break
|
||||
}
|
||||
}
|
||||
time.Sleep(time.Second * 1)
|
||||
}
|
||||
// 发送获取消息请求
|
||||
return getChatDetail(a, c, info)
|
||||
}
|
||||
|
||||
// DoResponse implements channel.Adaptor.
|
||||
func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, info *common.RelayInfo) (usage any, err *dto.OpenAIErrorWithStatusCode) {
|
||||
if info.IsStream {
|
||||
err, usage = cozeChatStreamHandler(c, resp, info)
|
||||
} else {
|
||||
err, usage = cozeChatHandler(c, resp, info)
|
||||
}
|
||||
return
|
||||
}
|
||||
|
||||
// GetChannelName implements channel.Adaptor.
|
||||
func (a *Adaptor) GetChannelName() string {
|
||||
return ChannelName
|
||||
}
|
||||
|
||||
// GetModelList implements channel.Adaptor.
|
||||
func (a *Adaptor) GetModelList() []string {
|
||||
return ModelList
|
||||
}
|
||||
|
||||
// GetRequestURL implements channel.Adaptor.
|
||||
func (a *Adaptor) GetRequestURL(info *common.RelayInfo) (string, error) {
|
||||
return fmt.Sprintf("%s/v3/chat", info.BaseUrl), nil
|
||||
}
|
||||
|
||||
// Init implements channel.Adaptor.
|
||||
func (a *Adaptor) Init(info *common.RelayInfo) {
|
||||
|
||||
}
|
||||
|
||||
// SetupRequestHeader implements channel.Adaptor.
|
||||
func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Header, info *common.RelayInfo) error {
|
||||
channel.SetupApiRequestHeader(info, c, req)
|
||||
req.Set("Authorization", "Bearer "+info.ApiKey)
|
||||
return nil
|
||||
}
|
||||
30
relay/channel/coze/constants.go
Normal file
30
relay/channel/coze/constants.go
Normal file
@@ -0,0 +1,30 @@
|
||||
package coze
|
||||
|
||||
var ModelList = []string{
|
||||
"moonshot-v1-8k",
|
||||
"moonshot-v1-32k",
|
||||
"moonshot-v1-128k",
|
||||
"Baichuan4",
|
||||
"abab6.5s-chat-pro",
|
||||
"glm-4-0520",
|
||||
"qwen-max",
|
||||
"deepseek-r1",
|
||||
"deepseek-v3",
|
||||
"deepseek-r1-distill-qwen-32b",
|
||||
"deepseek-r1-distill-qwen-7b",
|
||||
"step-1v-8k",
|
||||
"step-1.5v-mini",
|
||||
"Doubao-pro-32k",
|
||||
"Doubao-pro-256k",
|
||||
"Doubao-lite-128k",
|
||||
"Doubao-lite-32k",
|
||||
"Doubao-vision-lite-32k",
|
||||
"Doubao-vision-pro-32k",
|
||||
"Doubao-1.5-pro-vision-32k",
|
||||
"Doubao-1.5-lite-32k",
|
||||
"Doubao-1.5-pro-32k",
|
||||
"Doubao-1.5-thinking-pro",
|
||||
"Doubao-1.5-pro-256k",
|
||||
}
|
||||
|
||||
var ChannelName = "coze"
|
||||
78
relay/channel/coze/dto.go
Normal file
78
relay/channel/coze/dto.go
Normal file
@@ -0,0 +1,78 @@
|
||||
package coze
|
||||
|
||||
import "encoding/json"
|
||||
|
||||
type CozeError struct {
|
||||
Code int `json:"code"`
|
||||
Message string `json:"message"`
|
||||
}
|
||||
|
||||
type CozeEnterMessage struct {
|
||||
Role string `json:"role"`
|
||||
Type string `json:"type,omitempty"`
|
||||
Content json.RawMessage `json:"content,omitempty"`
|
||||
MetaData json.RawMessage `json:"meta_data,omitempty"`
|
||||
ContentType string `json:"content_type,omitempty"`
|
||||
}
|
||||
|
||||
type CozeChatRequest struct {
|
||||
BotId string `json:"bot_id"`
|
||||
UserId string `json:"user_id"`
|
||||
AdditionalMessages []CozeEnterMessage `json:"additional_messages,omitempty"`
|
||||
Stream bool `json:"stream,omitempty"`
|
||||
CustomVariables json.RawMessage `json:"custom_variables,omitempty"`
|
||||
AutoSaveHistory bool `json:"auto_save_history,omitempty"`
|
||||
MetaData json.RawMessage `json:"meta_data,omitempty"`
|
||||
ExtraParams json.RawMessage `json:"extra_params,omitempty"`
|
||||
ShortcutCommand json.RawMessage `json:"shortcut_command,omitempty"`
|
||||
Parameters json.RawMessage `json:"parameters,omitempty"`
|
||||
}
|
||||
|
||||
type CozeChatResponse struct {
|
||||
Code int `json:"code"`
|
||||
Msg string `json:"msg"`
|
||||
Data CozeChatResponseData `json:"data"`
|
||||
}
|
||||
|
||||
type CozeChatResponseData struct {
|
||||
Id string `json:"id"`
|
||||
ConversationId string `json:"conversation_id"`
|
||||
BotId string `json:"bot_id"`
|
||||
CreatedAt int64 `json:"created_at"`
|
||||
LastError CozeError `json:"last_error"`
|
||||
Status string `json:"status"`
|
||||
Usage CozeChatUsage `json:"usage"`
|
||||
}
|
||||
|
||||
type CozeChatUsage struct {
|
||||
TokenCount int `json:"token_count"`
|
||||
OutputCount int `json:"output_count"`
|
||||
InputCount int `json:"input_count"`
|
||||
}
|
||||
|
||||
type CozeChatDetailResponse struct {
|
||||
Data []CozeChatV3MessageDetail `json:"data"`
|
||||
Code int `json:"code"`
|
||||
Msg string `json:"msg"`
|
||||
Detail CozeResponseDetail `json:"detail"`
|
||||
}
|
||||
|
||||
type CozeChatV3MessageDetail struct {
|
||||
Id string `json:"id"`
|
||||
Role string `json:"role"`
|
||||
Type string `json:"type"`
|
||||
BotId string `json:"bot_id"`
|
||||
ChatId string `json:"chat_id"`
|
||||
Content json.RawMessage `json:"content"`
|
||||
MetaData json.RawMessage `json:"meta_data"`
|
||||
CreatedAt int64 `json:"created_at"`
|
||||
SectionId string `json:"section_id"`
|
||||
UpdatedAt int64 `json:"updated_at"`
|
||||
ContentType string `json:"content_type"`
|
||||
ConversationId string `json:"conversation_id"`
|
||||
ReasoningContent string `json:"reasoning_content"`
|
||||
}
|
||||
|
||||
type CozeResponseDetail struct {
|
||||
Logid string `json:"logid"`
|
||||
}
|
||||
300
relay/channel/coze/relay-coze.go
Normal file
300
relay/channel/coze/relay-coze.go
Normal file
@@ -0,0 +1,300 @@
|
||||
package coze
|
||||
|
||||
import (
|
||||
"bufio"
|
||||
"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"
|
||||
"strings"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
)
|
||||
|
||||
func convertCozeChatRequest(c *gin.Context, request dto.GeneralOpenAIRequest) *CozeChatRequest {
|
||||
var messages []CozeEnterMessage
|
||||
// 将 request的messages的role为user的content转换为CozeMessage
|
||||
for _, message := range request.Messages {
|
||||
if message.Role == "user" {
|
||||
messages = append(messages, CozeEnterMessage{
|
||||
Role: "user",
|
||||
Content: message.Content,
|
||||
// TODO: support more content type
|
||||
ContentType: "text",
|
||||
})
|
||||
}
|
||||
}
|
||||
user := request.User
|
||||
if user == "" {
|
||||
user = helper.GetResponseID(c)
|
||||
}
|
||||
cozeRequest := &CozeChatRequest{
|
||||
BotId: c.GetString("bot_id"),
|
||||
UserId: user,
|
||||
AdditionalMessages: messages,
|
||||
Stream: request.Stream,
|
||||
}
|
||||
return cozeRequest
|
||||
}
|
||||
|
||||
func cozeChatHandler(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (*dto.OpenAIErrorWithStatusCode, *dto.Usage) {
|
||||
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.OpenAIErrorWrapperLocal(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
// convert coze response to openai response
|
||||
var response dto.TextResponse
|
||||
var cozeResponse CozeChatDetailResponse
|
||||
response.Model = info.UpstreamModelName
|
||||
err = json.Unmarshal(responseBody, &cozeResponse)
|
||||
if err != nil {
|
||||
return service.OpenAIErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
if cozeResponse.Code != 0 {
|
||||
return service.OpenAIErrorWrapper(errors.New(cozeResponse.Msg), fmt.Sprintf("%d", cozeResponse.Code), http.StatusInternalServerError), nil
|
||||
}
|
||||
// 从上下文获取 usage
|
||||
var usage dto.Usage
|
||||
usage.PromptTokens = c.GetInt("coze_input_count")
|
||||
usage.CompletionTokens = c.GetInt("coze_output_count")
|
||||
usage.TotalTokens = c.GetInt("coze_token_count")
|
||||
response.Usage = usage
|
||||
response.Id = helper.GetResponseID(c)
|
||||
|
||||
var responseContent json.RawMessage
|
||||
for _, data := range cozeResponse.Data {
|
||||
if data.Type == "answer" {
|
||||
responseContent = data.Content
|
||||
response.Created = data.CreatedAt
|
||||
}
|
||||
}
|
||||
// 添加 response.Choices
|
||||
response.Choices = []dto.OpenAITextResponseChoice{
|
||||
{
|
||||
Index: 0,
|
||||
Message: dto.Message{Role: "assistant", Content: responseContent},
|
||||
FinishReason: "stop",
|
||||
},
|
||||
}
|
||||
jsonResponse, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
return service.OpenAIErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
c.Writer.Header().Set("Content-Type", "application/json")
|
||||
c.Writer.WriteHeader(resp.StatusCode)
|
||||
_, _ = c.Writer.Write(jsonResponse)
|
||||
|
||||
return nil, &usage
|
||||
}
|
||||
|
||||
func cozeChatStreamHandler(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (*dto.OpenAIErrorWithStatusCode, *dto.Usage) {
|
||||
scanner := bufio.NewScanner(resp.Body)
|
||||
scanner.Split(bufio.ScanLines)
|
||||
helper.SetEventStreamHeaders(c)
|
||||
id := helper.GetResponseID(c)
|
||||
var responseText string
|
||||
|
||||
var currentEvent string
|
||||
var currentData string
|
||||
var usage dto.Usage
|
||||
|
||||
for scanner.Scan() {
|
||||
line := scanner.Text()
|
||||
|
||||
if line == "" {
|
||||
if currentEvent != "" && currentData != "" {
|
||||
// handle last event
|
||||
handleCozeEvent(c, currentEvent, currentData, &responseText, &usage, id, info)
|
||||
currentEvent = ""
|
||||
currentData = ""
|
||||
}
|
||||
continue
|
||||
}
|
||||
|
||||
if strings.HasPrefix(line, "event:") {
|
||||
currentEvent = strings.TrimSpace(line[6:])
|
||||
continue
|
||||
}
|
||||
|
||||
if strings.HasPrefix(line, "data:") {
|
||||
currentData = strings.TrimSpace(line[5:])
|
||||
continue
|
||||
}
|
||||
}
|
||||
|
||||
// Last event
|
||||
if currentEvent != "" && currentData != "" {
|
||||
handleCozeEvent(c, currentEvent, currentData, &responseText, &usage, id, info)
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
return service.OpenAIErrorWrapper(err, "stream_scanner_error", http.StatusInternalServerError), nil
|
||||
}
|
||||
helper.Done(c)
|
||||
|
||||
if usage.TotalTokens == 0 {
|
||||
usage.PromptTokens = info.PromptTokens
|
||||
usage.CompletionTokens, _ = service.CountTextToken("gpt-3.5-turbo", responseText)
|
||||
usage.TotalTokens = usage.PromptTokens + usage.CompletionTokens
|
||||
}
|
||||
|
||||
return nil, &usage
|
||||
}
|
||||
|
||||
func handleCozeEvent(c *gin.Context, event string, data string, responseText *string, usage *dto.Usage, id string, info *relaycommon.RelayInfo) {
|
||||
switch event {
|
||||
case "conversation.chat.completed":
|
||||
// 将 data 解析为 CozeChatResponseData
|
||||
var chatData CozeChatResponseData
|
||||
err := json.Unmarshal([]byte(data), &chatData)
|
||||
if err != nil {
|
||||
common.SysError("error_unmarshalling_stream_response: " + err.Error())
|
||||
return
|
||||
}
|
||||
|
||||
usage.PromptTokens = chatData.Usage.InputCount
|
||||
usage.CompletionTokens = chatData.Usage.OutputCount
|
||||
usage.TotalTokens = chatData.Usage.TokenCount
|
||||
|
||||
finishReason := "stop"
|
||||
stopResponse := helper.GenerateStopResponse(id, common.GetTimestamp(), info.UpstreamModelName, finishReason)
|
||||
helper.ObjectData(c, stopResponse)
|
||||
|
||||
case "conversation.message.delta":
|
||||
// 将 data 解析为 CozeChatV3MessageDetail
|
||||
var messageData CozeChatV3MessageDetail
|
||||
err := json.Unmarshal([]byte(data), &messageData)
|
||||
if err != nil {
|
||||
common.SysError("error_unmarshalling_stream_response: " + err.Error())
|
||||
return
|
||||
}
|
||||
|
||||
var content string
|
||||
err = json.Unmarshal(messageData.Content, &content)
|
||||
if err != nil {
|
||||
common.SysError("error_unmarshalling_stream_response: " + err.Error())
|
||||
return
|
||||
}
|
||||
|
||||
*responseText += content
|
||||
|
||||
openaiResponse := dto.ChatCompletionsStreamResponse{
|
||||
Id: id,
|
||||
Object: "chat.completion.chunk",
|
||||
Created: common.GetTimestamp(),
|
||||
Model: info.UpstreamModelName,
|
||||
}
|
||||
|
||||
choice := dto.ChatCompletionsStreamResponseChoice{
|
||||
Index: 0,
|
||||
}
|
||||
choice.Delta.SetContentString(content)
|
||||
openaiResponse.Choices = append(openaiResponse.Choices, choice)
|
||||
|
||||
helper.ObjectData(c, openaiResponse)
|
||||
|
||||
case "error":
|
||||
var errorData CozeError
|
||||
err := json.Unmarshal([]byte(data), &errorData)
|
||||
if err != nil {
|
||||
common.SysError("error_unmarshalling_stream_response: " + err.Error())
|
||||
return
|
||||
}
|
||||
|
||||
common.SysError(fmt.Sprintf("stream event error: ", errorData.Code, errorData.Message))
|
||||
}
|
||||
}
|
||||
|
||||
func checkIfChatComplete(a *Adaptor, c *gin.Context, info *relaycommon.RelayInfo) (error, bool) {
|
||||
requestURL := fmt.Sprintf("%s/v3/chat/retrieve", info.BaseUrl)
|
||||
|
||||
requestURL = requestURL + "?conversation_id=" + c.GetString("coze_conversation_id") + "&chat_id=" + c.GetString("coze_chat_id")
|
||||
// 将 conversationId和chatId作为参数发送get请求
|
||||
req, err := http.NewRequest("GET", requestURL, nil)
|
||||
if err != nil {
|
||||
return err, false
|
||||
}
|
||||
err = a.SetupRequestHeader(c, &req.Header, info)
|
||||
if err != nil {
|
||||
return err, false
|
||||
}
|
||||
|
||||
resp, err := doRequest(req, info) // 调用 doRequest
|
||||
if err != nil {
|
||||
return err, false
|
||||
}
|
||||
if resp == nil { // 确保在 doRequest 失败时 resp 不为 nil 导致 panic
|
||||
return fmt.Errorf("resp is nil"), false
|
||||
}
|
||||
defer resp.Body.Close() // 确保响应体被关闭
|
||||
|
||||
// 解析 resp 到 CozeChatResponse
|
||||
var cozeResponse CozeChatResponse
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
return fmt.Errorf("read response body failed: %w", err), false
|
||||
}
|
||||
err = json.Unmarshal(responseBody, &cozeResponse)
|
||||
if err != nil {
|
||||
return fmt.Errorf("unmarshal response body failed: %w", err), false
|
||||
}
|
||||
if cozeResponse.Data.Status == "completed" {
|
||||
// 在上下文设置 usage
|
||||
c.Set("coze_token_count", cozeResponse.Data.Usage.TokenCount)
|
||||
c.Set("coze_output_count", cozeResponse.Data.Usage.OutputCount)
|
||||
c.Set("coze_input_count", cozeResponse.Data.Usage.InputCount)
|
||||
return nil, true
|
||||
} else if cozeResponse.Data.Status == "failed" || cozeResponse.Data.Status == "canceled" || cozeResponse.Data.Status == "requires_action" {
|
||||
return fmt.Errorf("chat status: %s", cozeResponse.Data.Status), false
|
||||
} else {
|
||||
return nil, false
|
||||
}
|
||||
}
|
||||
|
||||
func getChatDetail(a *Adaptor, c *gin.Context, info *relaycommon.RelayInfo) (*http.Response, error) {
|
||||
requestURL := fmt.Sprintf("%s/v3/chat/message/list", info.BaseUrl)
|
||||
|
||||
requestURL = requestURL + "?conversation_id=" + c.GetString("coze_conversation_id") + "&chat_id=" + c.GetString("coze_chat_id")
|
||||
req, err := http.NewRequest("GET", requestURL, nil)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("new request failed: %w", err)
|
||||
}
|
||||
err = a.SetupRequestHeader(c, &req.Header, info)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("setup request header failed: %w", err)
|
||||
}
|
||||
resp, err := doRequest(req, info)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("do request failed: %w", err)
|
||||
}
|
||||
return resp, nil
|
||||
}
|
||||
|
||||
func doRequest(req *http.Request, info *relaycommon.RelayInfo) (*http.Response, error) {
|
||||
var client *http.Client
|
||||
var err error // 声明 err 变量
|
||||
if proxyURL, ok := info.ChannelSetting["proxy"]; ok {
|
||||
client, err = service.NewProxyHttpClient(proxyURL.(string))
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("new proxy http client failed: %w", err)
|
||||
}
|
||||
} else {
|
||||
client = service.GetHttpClient()
|
||||
}
|
||||
resp, err := client.Do(req)
|
||||
if err != nil { // 增加对 client.Do(req) 返回错误的检查
|
||||
return nil, fmt.Errorf("client.Do failed: %w", err)
|
||||
}
|
||||
// _ = resp.Body.Close()
|
||||
return resp, nil
|
||||
}
|
||||
@@ -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)
|
||||
}
|
||||
|
||||
@@ -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)
|
||||
}
|
||||
|
||||
@@ -10,6 +10,7 @@ import (
|
||||
"one-api/dto"
|
||||
"one-api/relay/channel"
|
||||
relaycommon "one-api/relay/common"
|
||||
"one-api/relay/constant"
|
||||
"one-api/service"
|
||||
"one-api/setting/model_setting"
|
||||
"strings"
|
||||
@@ -155,11 +156,24 @@ 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)
|
||||
}
|
||||
|
||||
func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (usage any, err *dto.OpenAIErrorWithStatusCode) {
|
||||
if info.RelayMode == constant.RelayModeGemini {
|
||||
if info.IsStream {
|
||||
return GeminiTextGenerationStreamHandler(c, resp, info)
|
||||
} else {
|
||||
return GeminiTextGenerationHandler(c, resp, info)
|
||||
}
|
||||
}
|
||||
|
||||
if strings.HasPrefix(info.UpstreamModelName, "imagen") {
|
||||
return GeminiImageHandler(c, resp, info)
|
||||
}
|
||||
|
||||
@@ -2,10 +2,10 @@ package gemini
|
||||
|
||||
type GeminiChatRequest struct {
|
||||
Contents []GeminiChatContent `json:"contents"`
|
||||
SafetySettings []GeminiChatSafetySettings `json:"safety_settings,omitempty"`
|
||||
GenerationConfig GeminiChatGenerationConfig `json:"generation_config,omitempty"`
|
||||
SafetySettings []GeminiChatSafetySettings `json:"safetySettings,omitempty"`
|
||||
GenerationConfig GeminiChatGenerationConfig `json:"generationConfig,omitempty"`
|
||||
Tools []GeminiChatTool `json:"tools,omitempty"`
|
||||
SystemInstructions *GeminiChatContent `json:"system_instruction,omitempty"`
|
||||
SystemInstructions *GeminiChatContent `json:"systemInstruction,omitempty"`
|
||||
}
|
||||
|
||||
type GeminiThinkingConfig struct {
|
||||
@@ -54,6 +54,7 @@ type GeminiFileData struct {
|
||||
|
||||
type GeminiPart struct {
|
||||
Text string `json:"text,omitempty"`
|
||||
Thought bool `json:"thought,omitempty"`
|
||||
InlineData *GeminiInlineData `json:"inlineData,omitempty"`
|
||||
FunctionCall *FunctionCall `json:"functionCall,omitempty"`
|
||||
FunctionResponse *FunctionResponse `json:"functionResponse,omitempty"`
|
||||
|
||||
128
relay/channel/gemini/relay-gemini-native.go
Normal file
128
relay/channel/gemini/relay-gemini-native.go
Normal file
@@ -0,0 +1,128 @@
|
||||
package gemini
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"io"
|
||||
"net/http"
|
||||
"one-api/common"
|
||||
"one-api/dto"
|
||||
relaycommon "one-api/relay/common"
|
||||
"one-api/relay/helper"
|
||||
"one-api/service"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
)
|
||||
|
||||
func GeminiTextGenerationHandler(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (*dto.Usage, *dto.OpenAIErrorWithStatusCode) {
|
||||
// 读取响应体
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
return nil, service.OpenAIErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return nil, service.OpenAIErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
|
||||
if common.DebugEnabled {
|
||||
println(string(responseBody))
|
||||
}
|
||||
|
||||
// 解析为 Gemini 原生响应格式
|
||||
var geminiResponse GeminiChatResponse
|
||||
err = common.DecodeJson(responseBody, &geminiResponse)
|
||||
if err != nil {
|
||||
return nil, service.OpenAIErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
|
||||
// 检查是否有候选响应
|
||||
if len(geminiResponse.Candidates) == 0 {
|
||||
return nil, &dto.OpenAIErrorWithStatusCode{
|
||||
Error: dto.OpenAIError{
|
||||
Message: "No candidates returned",
|
||||
Type: "server_error",
|
||||
Param: "",
|
||||
Code: 500,
|
||||
},
|
||||
StatusCode: resp.StatusCode,
|
||||
}
|
||||
}
|
||||
|
||||
// 计算使用量(基于 UsageMetadata)
|
||||
usage := dto.Usage{
|
||||
PromptTokens: geminiResponse.UsageMetadata.PromptTokenCount,
|
||||
CompletionTokens: geminiResponse.UsageMetadata.CandidatesTokenCount,
|
||||
TotalTokens: geminiResponse.UsageMetadata.TotalTokenCount,
|
||||
}
|
||||
|
||||
// 直接返回 Gemini 原生格式的 JSON 响应
|
||||
jsonResponse, err := json.Marshal(geminiResponse)
|
||||
if err != nil {
|
||||
return nil, service.OpenAIErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
|
||||
// 设置响应头并写入响应
|
||||
c.Writer.Header().Set("Content-Type", "application/json")
|
||||
c.Writer.WriteHeader(resp.StatusCode)
|
||||
_, err = c.Writer.Write(jsonResponse)
|
||||
if err != nil {
|
||||
return nil, service.OpenAIErrorWrapper(err, "write_response_failed", http.StatusInternalServerError)
|
||||
}
|
||||
|
||||
return &usage, nil
|
||||
}
|
||||
|
||||
func GeminiTextGenerationStreamHandler(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (*dto.Usage, *dto.OpenAIErrorWithStatusCode) {
|
||||
var usage = &dto.Usage{}
|
||||
var imageCount int
|
||||
|
||||
helper.SetEventStreamHeaders(c)
|
||||
|
||||
helper.StreamScannerHandler(c, resp, info, func(data string) bool {
|
||||
var geminiResponse GeminiChatResponse
|
||||
err := common.DecodeJsonStr(data, &geminiResponse)
|
||||
if err != nil {
|
||||
common.LogError(c, "error unmarshalling stream response: "+err.Error())
|
||||
return false
|
||||
}
|
||||
|
||||
// 统计图片数量
|
||||
for _, candidate := range geminiResponse.Candidates {
|
||||
for _, part := range candidate.Content.Parts {
|
||||
if part.InlineData != nil && part.InlineData.MimeType != "" {
|
||||
imageCount++
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 更新使用量统计
|
||||
if geminiResponse.UsageMetadata.TotalTokenCount != 0 {
|
||||
usage.PromptTokens = geminiResponse.UsageMetadata.PromptTokenCount
|
||||
usage.CompletionTokens = geminiResponse.UsageMetadata.CandidatesTokenCount
|
||||
usage.TotalTokens = geminiResponse.UsageMetadata.TotalTokenCount
|
||||
}
|
||||
|
||||
// 直接发送 GeminiChatResponse 响应
|
||||
err = helper.ObjectData(c, geminiResponse)
|
||||
if err != nil {
|
||||
common.LogError(c, err.Error())
|
||||
}
|
||||
|
||||
return true
|
||||
})
|
||||
|
||||
if imageCount != 0 {
|
||||
if usage.CompletionTokens == 0 {
|
||||
usage.CompletionTokens = imageCount * 258
|
||||
}
|
||||
}
|
||||
|
||||
// 计算最终使用量
|
||||
usage.PromptTokensDetails.TextTokens = usage.PromptTokens
|
||||
usage.CompletionTokens = usage.TotalTokens - usage.PromptTokens
|
||||
|
||||
// 结束流式响应
|
||||
helper.Done(c)
|
||||
|
||||
return usage, nil
|
||||
}
|
||||
@@ -18,6 +18,24 @@ import (
|
||||
"github.com/gin-gonic/gin"
|
||||
)
|
||||
|
||||
var geminiSupportedMimeTypes = map[string]bool{
|
||||
"application/pdf": true,
|
||||
"audio/mpeg": true,
|
||||
"audio/mp3": true,
|
||||
"audio/wav": true,
|
||||
"image/png": true,
|
||||
"image/jpeg": true,
|
||||
"text/plain": true,
|
||||
"video/mov": true,
|
||||
"video/mpeg": true,
|
||||
"video/mp4": true,
|
||||
"video/mpg": true,
|
||||
"video/avi": true,
|
||||
"video/wmv": true,
|
||||
"video/mpegps": true,
|
||||
"video/flv": true,
|
||||
}
|
||||
|
||||
// Setting safety to the lowest possible values since Gemini is already powerless enough
|
||||
func CovertGemini2OpenAI(textRequest dto.GeneralOpenAIRequest, info *relaycommon.RelayInfo) (*GeminiChatRequest, error) {
|
||||
|
||||
@@ -40,6 +58,12 @@ func CovertGemini2OpenAI(textRequest dto.GeneralOpenAIRequest, info *relaycommon
|
||||
|
||||
if model_setting.GetGeminiSettings().ThinkingAdapterEnabled {
|
||||
if strings.HasSuffix(info.OriginModelName, "-thinking") {
|
||||
// 如果模型名以 gemini-2.5-pro 开头,不设置 ThinkingBudget
|
||||
if strings.HasPrefix(info.OriginModelName, "gemini-2.5-pro") {
|
||||
geminiRequest.GenerationConfig.ThinkingConfig = &GeminiThinkingConfig{
|
||||
IncludeThoughts: true,
|
||||
}
|
||||
} else {
|
||||
budgetTokens := model_setting.GetGeminiSettings().ThinkingAdapterBudgetTokensPercentage * float64(geminiRequest.GenerationConfig.MaxOutputTokens)
|
||||
if budgetTokens == 0 || budgetTokens > 24576 {
|
||||
budgetTokens = 24576
|
||||
@@ -48,6 +72,7 @@ func CovertGemini2OpenAI(textRequest dto.GeneralOpenAIRequest, info *relaycommon
|
||||
ThinkingBudget: common.GetPointer(int(budgetTokens)),
|
||||
IncludeThoughts: true,
|
||||
}
|
||||
}
|
||||
} else if strings.HasSuffix(info.OriginModelName, "-nothinking") {
|
||||
geminiRequest.GenerationConfig.ThinkingConfig = &GeminiThinkingConfig{
|
||||
ThinkingBudget: common.GetPointer(0),
|
||||
@@ -208,14 +233,20 @@ func CovertGemini2OpenAI(textRequest dto.GeneralOpenAIRequest, info *relaycommon
|
||||
}
|
||||
// 判断是否是url
|
||||
if strings.HasPrefix(part.GetImageMedia().Url, "http") {
|
||||
// 是url,获取图片的类型和base64编码的数据
|
||||
// 是url,获取文件的类型和base64编码的数据
|
||||
fileData, err := service.GetFileBase64FromUrl(part.GetImageMedia().Url)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("get file base64 from url failed: %s", err.Error())
|
||||
return nil, fmt.Errorf("get file base64 from url '%s' failed: %w", part.GetImageMedia().Url, err)
|
||||
}
|
||||
|
||||
// 校验 MimeType 是否在 Gemini 支持的白名单中
|
||||
if _, ok := geminiSupportedMimeTypes[strings.ToLower(fileData.MimeType)]; !ok {
|
||||
return nil, fmt.Errorf("MIME type '%s' from URL '%s' is not supported by Gemini. Supported types are: %v", fileData.MimeType, part.GetImageMedia().Url, getSupportedMimeTypesList())
|
||||
}
|
||||
|
||||
parts = append(parts, GeminiPart{
|
||||
InlineData: &GeminiInlineData{
|
||||
MimeType: fileData.MimeType,
|
||||
MimeType: fileData.MimeType, // 使用原始的 MimeType,因为大小写可能对API有意义
|
||||
Data: fileData.Base64Data,
|
||||
},
|
||||
})
|
||||
@@ -284,22 +315,27 @@ func CovertGemini2OpenAI(textRequest dto.GeneralOpenAIRequest, info *relaycommon
|
||||
return &geminiRequest, nil
|
||||
}
|
||||
|
||||
// Helper function to get a list of supported MIME types for error messages
|
||||
func getSupportedMimeTypesList() []string {
|
||||
keys := make([]string, 0, len(geminiSupportedMimeTypes))
|
||||
for k := range geminiSupportedMimeTypes {
|
||||
keys = append(keys, k)
|
||||
}
|
||||
return keys
|
||||
}
|
||||
|
||||
// cleanFunctionParameters recursively removes unsupported fields from Gemini function parameters.
|
||||
func cleanFunctionParameters(params interface{}) interface{} {
|
||||
if params == nil {
|
||||
return nil
|
||||
}
|
||||
|
||||
paramMap, ok := params.(map[string]interface{})
|
||||
if !ok {
|
||||
// Not a map, return as is (e.g., could be an array or primitive)
|
||||
return params
|
||||
}
|
||||
|
||||
switch v := params.(type) {
|
||||
case map[string]interface{}:
|
||||
// Create a copy to avoid modifying the original
|
||||
cleanedMap := make(map[string]interface{})
|
||||
for k, v := range paramMap {
|
||||
cleanedMap[k] = v
|
||||
for k, val := range v {
|
||||
cleanedMap[k] = val
|
||||
}
|
||||
|
||||
// Remove unsupported root-level fields
|
||||
@@ -309,51 +345,25 @@ func cleanFunctionParameters(params interface{}) interface{} {
|
||||
delete(cleanedMap, "$schema")
|
||||
delete(cleanedMap, "additionalProperties")
|
||||
|
||||
// Check and clean 'format' for string types
|
||||
if propType, typeExists := cleanedMap["type"].(string); typeExists && propType == "string" {
|
||||
if formatValue, formatExists := cleanedMap["format"].(string); formatExists {
|
||||
if formatValue != "enum" && formatValue != "date-time" {
|
||||
delete(cleanedMap, "format")
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Clean properties
|
||||
if props, ok := cleanedMap["properties"].(map[string]interface{}); ok && props != nil {
|
||||
cleanedProps := make(map[string]interface{})
|
||||
for propName, propValue := range props {
|
||||
propMap, ok := propValue.(map[string]interface{})
|
||||
if !ok {
|
||||
cleanedProps[propName] = propValue // Keep non-map properties
|
||||
continue
|
||||
}
|
||||
|
||||
// Create a copy of the property map
|
||||
cleanedPropMap := make(map[string]interface{})
|
||||
for k, v := range propMap {
|
||||
cleanedPropMap[k] = v
|
||||
}
|
||||
|
||||
// Remove unsupported fields
|
||||
delete(cleanedPropMap, "default")
|
||||
delete(cleanedPropMap, "exclusiveMaximum")
|
||||
delete(cleanedPropMap, "exclusiveMinimum")
|
||||
delete(cleanedPropMap, "$schema")
|
||||
delete(cleanedPropMap, "additionalProperties")
|
||||
|
||||
// Check and clean 'format' for string types
|
||||
if propType, typeExists := cleanedPropMap["type"].(string); typeExists && propType == "string" {
|
||||
if formatValue, formatExists := cleanedPropMap["format"].(string); formatExists {
|
||||
if formatValue != "enum" && formatValue != "date-time" {
|
||||
delete(cleanedPropMap, "format")
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Recursively clean nested properties within this property if it's an object/array
|
||||
// Check the type before recursing
|
||||
if propType, typeExists := cleanedPropMap["type"].(string); typeExists && (propType == "object" || propType == "array") {
|
||||
cleanedProps[propName] = cleanFunctionParameters(cleanedPropMap)
|
||||
} else {
|
||||
cleanedProps[propName] = cleanedPropMap // Assign the cleaned map back if not recursing
|
||||
}
|
||||
|
||||
cleanedProps[propName] = cleanFunctionParameters(propValue)
|
||||
}
|
||||
cleanedMap["properties"] = cleanedProps
|
||||
}
|
||||
|
||||
// Recursively clean items in arrays if needed (e.g., type: array, items: { ... })
|
||||
// Recursively clean items in arrays
|
||||
if items, ok := cleanedMap["items"].(map[string]interface{}); ok && items != nil {
|
||||
cleanedMap["items"] = cleanFunctionParameters(items)
|
||||
}
|
||||
@@ -366,7 +376,7 @@ func cleanFunctionParameters(params interface{}) interface{} {
|
||||
cleanedMap["items"] = cleanedItemsArray
|
||||
}
|
||||
|
||||
// Recursively clean other schema composition keywords if necessary
|
||||
// Recursively clean other schema composition keywords
|
||||
for _, field := range []string{"allOf", "anyOf", "oneOf"} {
|
||||
if nested, ok := cleanedMap[field].([]interface{}); ok {
|
||||
cleanedNested := make([]interface{}, len(nested))
|
||||
@@ -377,7 +387,54 @@ func cleanFunctionParameters(params interface{}) interface{} {
|
||||
}
|
||||
}
|
||||
|
||||
// Recursively clean patternProperties
|
||||
if patternProps, ok := cleanedMap["patternProperties"].(map[string]interface{}); ok {
|
||||
cleanedPatternProps := make(map[string]interface{})
|
||||
for pattern, schema := range patternProps {
|
||||
cleanedPatternProps[pattern] = cleanFunctionParameters(schema)
|
||||
}
|
||||
cleanedMap["patternProperties"] = cleanedPatternProps
|
||||
}
|
||||
|
||||
// Recursively clean definitions
|
||||
if definitions, ok := cleanedMap["definitions"].(map[string]interface{}); ok {
|
||||
cleanedDefinitions := make(map[string]interface{})
|
||||
for defName, defSchema := range definitions {
|
||||
cleanedDefinitions[defName] = cleanFunctionParameters(defSchema)
|
||||
}
|
||||
cleanedMap["definitions"] = cleanedDefinitions
|
||||
}
|
||||
|
||||
// Recursively clean $defs (newer JSON Schema draft)
|
||||
if defs, ok := cleanedMap["$defs"].(map[string]interface{}); ok {
|
||||
cleanedDefs := make(map[string]interface{})
|
||||
for defName, defSchema := range defs {
|
||||
cleanedDefs[defName] = cleanFunctionParameters(defSchema)
|
||||
}
|
||||
cleanedMap["$defs"] = cleanedDefs
|
||||
}
|
||||
|
||||
// Clean conditional keywords
|
||||
for _, field := range []string{"if", "then", "else", "not"} {
|
||||
if nested, ok := cleanedMap[field]; ok {
|
||||
cleanedMap[field] = cleanFunctionParameters(nested)
|
||||
}
|
||||
}
|
||||
|
||||
return cleanedMap
|
||||
|
||||
case []interface{}:
|
||||
// Handle arrays of schemas
|
||||
cleanedArray := make([]interface{}, len(v))
|
||||
for i, item := range v {
|
||||
cleanedArray[i] = cleanFunctionParameters(item)
|
||||
}
|
||||
return cleanedArray
|
||||
|
||||
default:
|
||||
// Not a map or array, return as is (e.g., could be a primitive)
|
||||
return params
|
||||
}
|
||||
}
|
||||
|
||||
func removeAdditionalPropertiesWithDepth(schema interface{}, depth int) interface{} {
|
||||
@@ -391,6 +448,7 @@ func removeAdditionalPropertiesWithDepth(schema interface{}, depth int) interfac
|
||||
}
|
||||
// 删除所有的title字段
|
||||
delete(v, "title")
|
||||
delete(v, "$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
|
||||
@@ -538,6 +596,8 @@ func responseGeminiChat2OpenAI(response *GeminiChatResponse) *dto.OpenAITextResp
|
||||
if call := getResponseToolCall(&part); call != nil {
|
||||
toolCalls = append(toolCalls, *call)
|
||||
}
|
||||
} else if part.Thought {
|
||||
choice.Message.ReasoningContent = part.Text
|
||||
} else {
|
||||
if part.ExecutableCode != nil {
|
||||
texts = append(texts, "```"+part.ExecutableCode.Language+"\n"+part.ExecutableCode.Code+"\n```")
|
||||
@@ -555,7 +615,6 @@ func responseGeminiChat2OpenAI(response *GeminiChatResponse) *dto.OpenAITextResp
|
||||
choice.Message.SetToolCalls(toolCalls)
|
||||
isToolCall = true
|
||||
}
|
||||
|
||||
choice.Message.SetStringContent(strings.Join(texts, "\n"))
|
||||
|
||||
}
|
||||
@@ -595,6 +654,7 @@ func streamResponseGeminiChat2OpenAI(geminiResponse *GeminiChatResponse) (*dto.C
|
||||
}
|
||||
var texts []string
|
||||
isTools := false
|
||||
isThought := false
|
||||
if candidate.FinishReason != nil {
|
||||
// p := GeminiConvertFinishReason(*candidate.FinishReason)
|
||||
switch *candidate.FinishReason {
|
||||
@@ -619,6 +679,9 @@ func streamResponseGeminiChat2OpenAI(geminiResponse *GeminiChatResponse) (*dto.C
|
||||
call.SetIndex(len(choice.Delta.ToolCalls))
|
||||
choice.Delta.ToolCalls = append(choice.Delta.ToolCalls, *call)
|
||||
}
|
||||
} else if part.Thought {
|
||||
isThought = true
|
||||
texts = append(texts, part.Text)
|
||||
} else {
|
||||
if part.ExecutableCode != nil {
|
||||
texts = append(texts, "```"+part.ExecutableCode.Language+"\n"+part.ExecutableCode.Code+"\n```\n")
|
||||
@@ -631,7 +694,11 @@ func streamResponseGeminiChat2OpenAI(geminiResponse *GeminiChatResponse) (*dto.C
|
||||
}
|
||||
}
|
||||
}
|
||||
if isThought {
|
||||
choice.Delta.SetReasoningContent(strings.Join(texts, "\n"))
|
||||
} else {
|
||||
choice.Delta.SetContentString(strings.Join(texts, "\n"))
|
||||
}
|
||||
if isTools {
|
||||
choice.FinishReason = &constant.FinishReasonToolCalls
|
||||
}
|
||||
@@ -715,8 +782,11 @@ func GeminiChatHandler(c *gin.Context, resp *http.Response, info *relaycommon.Re
|
||||
if err != nil {
|
||||
return service.OpenAIErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
if common.DebugEnabled {
|
||||
println(string(responseBody))
|
||||
}
|
||||
var geminiResponse GeminiChatResponse
|
||||
err = json.Unmarshal(responseBody, &geminiResponse)
|
||||
err = common.DecodeJson(responseBody, &geminiResponse)
|
||||
if err != nil {
|
||||
return service.OpenAIErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
|
||||
@@ -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)
|
||||
}
|
||||
|
||||
@@ -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)
|
||||
}
|
||||
|
||||
@@ -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)
|
||||
}
|
||||
|
||||
@@ -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)
|
||||
}
|
||||
|
||||
@@ -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 {
|
||||
@@ -89,7 +89,10 @@ 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
|
||||
// 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 +172,7 @@ 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 +383,21 @@ 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 +424,12 @@ 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)
|
||||
|
||||
@@ -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)
|
||||
}
|
||||
|
||||
@@ -216,9 +216,34 @@ func OpenaiHandler(c *gin.Context, resp *http.Response, info *relaycommon.RelayI
|
||||
}, nil
|
||||
}
|
||||
|
||||
forceFormat := false
|
||||
if forceFmt, ok := info.ChannelSetting[constant.ForceFormat].(bool); ok {
|
||||
forceFormat = forceFmt
|
||||
}
|
||||
|
||||
if simpleResponse.Usage.TotalTokens == 0 || (simpleResponse.Usage.PromptTokens == 0 && simpleResponse.Usage.CompletionTokens == 0) {
|
||||
completionTokens := 0
|
||||
for _, choice := range simpleResponse.Choices {
|
||||
ctkm, _ := service.CountTextToken(choice.Message.StringContent()+choice.Message.ReasoningContent+choice.Message.Reasoning, info.UpstreamModelName)
|
||||
completionTokens += ctkm
|
||||
}
|
||||
simpleResponse.Usage = dto.Usage{
|
||||
PromptTokens: info.PromptTokens,
|
||||
CompletionTokens: completionTokens,
|
||||
TotalTokens: info.PromptTokens + completionTokens,
|
||||
}
|
||||
}
|
||||
|
||||
switch info.RelayFormat {
|
||||
case relaycommon.RelayFormatOpenAI:
|
||||
if forceFormat {
|
||||
responseBody, err = json.Marshal(simpleResponse)
|
||||
if err != nil {
|
||||
return service.OpenAIErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
} else {
|
||||
break
|
||||
}
|
||||
case relaycommon.RelayFormatClaude:
|
||||
claudeResp := service.ResponseOpenAI2Claude(&simpleResponse, info)
|
||||
claudeRespStr, err := json.Marshal(claudeResp)
|
||||
@@ -244,52 +269,29 @@ func OpenaiHandler(c *gin.Context, resp *http.Response, info *relaycommon.RelayI
|
||||
common.SysError("error copying response body: " + err.Error())
|
||||
}
|
||||
resp.Body.Close()
|
||||
if simpleResponse.Usage.TotalTokens == 0 || (simpleResponse.Usage.PromptTokens == 0 && simpleResponse.Usage.CompletionTokens == 0) {
|
||||
completionTokens := 0
|
||||
for _, choice := range simpleResponse.Choices {
|
||||
ctkm, _ := service.CountTextToken(choice.Message.StringContent()+choice.Message.ReasoningContent+choice.Message.Reasoning, info.UpstreamModelName)
|
||||
completionTokens += ctkm
|
||||
}
|
||||
simpleResponse.Usage = dto.Usage{
|
||||
PromptTokens: info.PromptTokens,
|
||||
CompletionTokens: completionTokens,
|
||||
TotalTokens: info.PromptTokens + completionTokens,
|
||||
}
|
||||
}
|
||||
return nil, &simpleResponse.Usage
|
||||
}
|
||||
|
||||
func OpenaiTTSHandler(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (*dto.OpenAIErrorWithStatusCode, *dto.Usage) {
|
||||
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
|
||||
}
|
||||
// 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.
|
||||
// the status code has been judged before, if there is a body reading failure,
|
||||
// it should be regarded as a non-recoverable error, so it should not return err for external retry.
|
||||
// Analogous to nginx's load balancing, it will only retry if it can't be requested or
|
||||
// if the upstream returns a specific status code, once the upstream has already written the header,
|
||||
// the subsequent failure of the response body should be regarded as a non-recoverable error,
|
||||
// and can be terminated directly.
|
||||
defer resp.Body.Close()
|
||||
usage := &dto.Usage{}
|
||||
usage.PromptTokens = info.PromptTokens
|
||||
usage.TotalTokens = info.PromptTokens
|
||||
for k, v := range resp.Header {
|
||||
c.Writer.Header().Set(k, v[0])
|
||||
}
|
||||
c.Writer.WriteHeader(resp.StatusCode)
|
||||
_, err = io.Copy(c.Writer, resp.Body)
|
||||
c.Writer.WriteHeaderNow()
|
||||
_, err := io.Copy(c.Writer, resp.Body)
|
||||
if err != nil {
|
||||
return service.OpenAIErrorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError), nil
|
||||
common.LogError(c, err.Error())
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return service.OpenAIErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
|
||||
usage := &dto.Usage{}
|
||||
usage.PromptTokens = info.PromptTokens
|
||||
usage.TotalTokens = info.PromptTokens
|
||||
return nil, usage
|
||||
}
|
||||
|
||||
|
||||
119
relay/channel/openai/relay_responses.go
Normal file
119
relay/channel/openai/relay_responses.go
Normal file
@@ -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
|
||||
}
|
||||
9
relay/channel/openrouter/dto.go
Normal file
9
relay/channel/openrouter/dto.go
Normal file
@@ -0,0 +1,9 @@
|
||||
package openrouter
|
||||
|
||||
type RequestReasoning struct {
|
||||
// One of the following (not both):
|
||||
Effort string `json:"effort,omitempty"` // Can be "high", "medium", or "low" (OpenAI-style)
|
||||
MaxTokens int `json:"max_tokens,omitempty"` // Specific token limit (Anthropic-style)
|
||||
// Optional: Default is false. All models support this.
|
||||
Exclude bool `json:"exclude,omitempty"` // Set to true to exclude reasoning tokens from response
|
||||
}
|
||||
@@ -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)
|
||||
}
|
||||
|
||||
@@ -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)
|
||||
}
|
||||
|
||||
@@ -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)
|
||||
}
|
||||
|
||||
@@ -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)
|
||||
}
|
||||
|
||||
@@ -4,7 +4,6 @@ import (
|
||||
"encoding/json"
|
||||
"errors"
|
||||
"fmt"
|
||||
"github.com/gin-gonic/gin"
|
||||
"io"
|
||||
"net/http"
|
||||
"one-api/dto"
|
||||
@@ -13,7 +12,11 @@ import (
|
||||
"one-api/relay/channel/gemini"
|
||||
"one-api/relay/channel/openai"
|
||||
relaycommon "one-api/relay/common"
|
||||
"one-api/relay/constant"
|
||||
"one-api/setting/model_setting"
|
||||
"strings"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
)
|
||||
|
||||
const (
|
||||
@@ -29,6 +32,8 @@ var claudeModelMap = map[string]string{
|
||||
"claude-3-5-sonnet-20240620": "claude-3-5-sonnet@20240620",
|
||||
"claude-3-5-sonnet-20241022": "claude-3-5-sonnet-v2@20241022",
|
||||
"claude-3-7-sonnet-20250219": "claude-3-7-sonnet@20250219",
|
||||
"claude-sonnet-4-20250514": "claude-sonnet-4@20250514",
|
||||
"claude-opus-4-20250514": "claude-opus-4@20250514",
|
||||
}
|
||||
|
||||
const anthropicVersion = "vertex-2023-10-16"
|
||||
@@ -77,11 +82,28 @@ 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 {
|
||||
suffix = "generateContent"
|
||||
}
|
||||
if region == "global" {
|
||||
return fmt.Sprintf(
|
||||
"https://aiplatform.googleapis.com/v1/projects/%s/locations/global/publishers/google/models/%s:%s",
|
||||
adc.ProjectID,
|
||||
info.UpstreamModelName,
|
||||
suffix,
|
||||
), nil
|
||||
} else {
|
||||
return fmt.Sprintf(
|
||||
"https://%s-aiplatform.googleapis.com/v1/projects/%s/locations/%s/publishers/google/models/%s:%s",
|
||||
region,
|
||||
@@ -90,6 +112,7 @@ func (a *Adaptor) GetRequestURL(info *relaycommon.RelayInfo) (string, error) {
|
||||
info.UpstreamModelName,
|
||||
suffix,
|
||||
), nil
|
||||
}
|
||||
} else if a.RequestMode == RequestModeClaude {
|
||||
if info.IsStream {
|
||||
suffix = "streamRawPredict?alt=sse"
|
||||
@@ -164,6 +187,11 @@ 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)
|
||||
}
|
||||
@@ -174,7 +202,11 @@ func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, info *relaycom
|
||||
case RequestModeClaude:
|
||||
err, usage = claude.ClaudeStreamHandler(c, resp, info, claude.RequestModeMessage)
|
||||
case RequestModeGemini:
|
||||
if info.RelayMode == constant.RelayModeGemini {
|
||||
usage, err = gemini.GeminiTextGenerationStreamHandler(c, resp, info)
|
||||
} else {
|
||||
err, usage = gemini.GeminiChatStreamHandler(c, resp, info)
|
||||
}
|
||||
case RequestModeLlama:
|
||||
err, usage = openai.OaiStreamHandler(c, resp, info)
|
||||
}
|
||||
@@ -183,7 +215,11 @@ func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, info *relaycom
|
||||
case RequestModeClaude:
|
||||
err, usage = claude.ClaudeHandler(c, resp, claude.RequestModeMessage, info)
|
||||
case RequestModeGemini:
|
||||
if info.RelayMode == constant.RelayModeGemini {
|
||||
usage, err = gemini.GeminiTextGenerationHandler(c, resp, info)
|
||||
} else {
|
||||
err, usage = gemini.GeminiChatHandler(c, resp, info)
|
||||
}
|
||||
case RequestModeLlama:
|
||||
err, usage = openai.OpenaiHandler(c, resp, info)
|
||||
}
|
||||
|
||||
@@ -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)
|
||||
}
|
||||
|
||||
@@ -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) {
|
||||
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
|
||||
}
|
||||
|
||||
|
||||
@@ -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"`
|
||||
}
|
||||
@@ -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{}
|
||||
|
||||
@@ -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)
|
||||
|
||||
@@ -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)
|
||||
}
|
||||
|
||||
@@ -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")
|
||||
@@ -176,6 +216,7 @@ func GenRelayInfo(c *gin.Context) *RelayInfo {
|
||||
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{
|
||||
@@ -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
|
||||
}
|
||||
|
||||
|
||||
@@ -33,6 +33,7 @@ const (
|
||||
APITypeOpenRouter
|
||||
APITypeXinference
|
||||
APITypeXai
|
||||
APITypeCoze
|
||||
APITypeDummy // this one is only for count, do not add any channel after this
|
||||
)
|
||||
|
||||
@@ -95,6 +96,8 @@ func ChannelType2APIType(channelType int) (int, bool) {
|
||||
apiType = APITypeXinference
|
||||
case common.ChannelTypeXai:
|
||||
apiType = APITypeXai
|
||||
case common.ChannelTypeCoze:
|
||||
apiType = APITypeCoze
|
||||
}
|
||||
if apiType == -1 {
|
||||
return APITypeOpenAI, false
|
||||
|
||||
@@ -40,7 +40,11 @@ const (
|
||||
|
||||
RelayModeRerank
|
||||
|
||||
RelayModeResponses
|
||||
|
||||
RelayModeRealtime
|
||||
|
||||
RelayModeGemini
|
||||
)
|
||||
|
||||
func Path2RelayMode(path string) int {
|
||||
@@ -61,6 +65,8 @@ 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") {
|
||||
@@ -71,6 +77,8 @@ func Path2RelayMode(path string) int {
|
||||
relayMode = RelayModeRerank
|
||||
} else if strings.HasPrefix(path, "/v1/realtime") {
|
||||
relayMode = RelayModeRealtime
|
||||
} else if strings.HasPrefix(path, "/v1beta/models") {
|
||||
relayMode = RelayModeGemini
|
||||
}
|
||||
return relayMode
|
||||
}
|
||||
|
||||
@@ -12,11 +12,19 @@ import (
|
||||
)
|
||||
|
||||
func SetEventStreamHeaders(c *gin.Context) {
|
||||
// 检查是否已经设置过头部
|
||||
if _, exists := c.Get("event_stream_headers_set"); exists {
|
||||
return
|
||||
}
|
||||
|
||||
c.Writer.Header().Set("Content-Type", "text/event-stream")
|
||||
c.Writer.Header().Set("Cache-Control", "no-cache")
|
||||
c.Writer.Header().Set("Connection", "keep-alive")
|
||||
c.Writer.Header().Set("Transfer-Encoding", "chunked")
|
||||
c.Writer.Header().Set("X-Accel-Buffering", "no")
|
||||
|
||||
// 设置标志,表示头部已经设置过
|
||||
c.Set("event_stream_headers_set", true)
|
||||
}
|
||||
|
||||
func ClaudeData(c *gin.Context, resp dto.ClaudeResponse) error {
|
||||
@@ -43,6 +51,14 @@ 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")
|
||||
|
||||
@@ -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]
|
||||
|
||||
// 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
|
||||
|
||||
@@ -23,7 +23,7 @@ type PriceData struct {
|
||||
}
|
||||
|
||||
func (p PriceData) ToSetting() string {
|
||||
return fmt.Sprintf("ModelPrice: %f, ModelRatio: %f, CompletionRatio: %f, CacheRatio: %f, GroupRatio: %f, UsePrice: %t, CacheCreationRatio: %f, ShouldPreConsumedQuota: %d, ImageRatio: %d", p.ModelPrice, p.ModelRatio, p.CompletionRatio, p.CacheRatio, p.GroupRatio, p.UsePrice, p.CacheCreationRatio, p.ShouldPreConsumedQuota, p.ImageRatio)
|
||||
return fmt.Sprintf("ModelPrice: %f, ModelRatio: %f, CompletionRatio: %f, CacheRatio: %f, GroupRatio: %f, UsePrice: %t, CacheCreationRatio: %f, ShouldPreConsumedQuota: %d, ImageRatio: %f", p.ModelPrice, p.ModelRatio, p.CompletionRatio, p.CacheRatio, p.GroupRatio, p.UsePrice, p.CacheCreationRatio, p.ShouldPreConsumedQuota, p.ImageRatio)
|
||||
}
|
||||
|
||||
func ModelPriceHelper(c *gin.Context, info *relaycommon.RelayInfo, promptTokens int, maxTokens int) (PriceData, error) {
|
||||
|
||||
@@ -3,7 +3,6 @@ package helper
|
||||
import (
|
||||
"bufio"
|
||||
"context"
|
||||
"github.com/bytedance/gopkg/util/gopool"
|
||||
"io"
|
||||
"net/http"
|
||||
"one-api/common"
|
||||
@@ -14,6 +13,8 @@ import (
|
||||
"sync"
|
||||
"time"
|
||||
|
||||
"github.com/bytedance/gopkg/util/gopool"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
)
|
||||
|
||||
@@ -32,7 +33,7 @@ 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 +116,7 @@ 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
|
||||
|
||||
157
relay/relay-gemini.go
Normal file
157
relay/relay-gemini.go
Normal file
@@ -0,0 +1,157 @@
|
||||
package relay
|
||||
|
||||
import (
|
||||
"bytes"
|
||||
"encoding/json"
|
||||
"errors"
|
||||
"fmt"
|
||||
"net/http"
|
||||
"one-api/common"
|
||||
"one-api/dto"
|
||||
"one-api/relay/channel/gemini"
|
||||
relaycommon "one-api/relay/common"
|
||||
"one-api/relay/helper"
|
||||
"one-api/service"
|
||||
"one-api/setting"
|
||||
"strings"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
)
|
||||
|
||||
func getAndValidateGeminiRequest(c *gin.Context) (*gemini.GeminiChatRequest, error) {
|
||||
request := &gemini.GeminiChatRequest{}
|
||||
err := common.UnmarshalBodyReusable(c, request)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
if len(request.Contents) == 0 {
|
||||
return nil, errors.New("contents is required")
|
||||
}
|
||||
return request, nil
|
||||
}
|
||||
|
||||
// 流模式
|
||||
// /v1beta/models/gemini-2.0-flash:streamGenerateContent?alt=sse&key=xxx
|
||||
func checkGeminiStreamMode(c *gin.Context, relayInfo *relaycommon.RelayInfo) {
|
||||
if c.Query("alt") == "sse" {
|
||||
relayInfo.IsStream = true
|
||||
}
|
||||
|
||||
// if strings.Contains(c.Request.URL.Path, "streamGenerateContent") {
|
||||
// relayInfo.IsStream = true
|
||||
// }
|
||||
}
|
||||
|
||||
func checkGeminiInputSensitive(textRequest *gemini.GeminiChatRequest) ([]string, error) {
|
||||
var inputTexts []string
|
||||
for _, content := range textRequest.Contents {
|
||||
for _, part := range content.Parts {
|
||||
if part.Text != "" {
|
||||
inputTexts = append(inputTexts, part.Text)
|
||||
}
|
||||
}
|
||||
}
|
||||
if len(inputTexts) == 0 {
|
||||
return nil, nil
|
||||
}
|
||||
|
||||
sensitiveWords, err := service.CheckSensitiveInput(inputTexts)
|
||||
return sensitiveWords, err
|
||||
}
|
||||
|
||||
func getGeminiInputTokens(req *gemini.GeminiChatRequest, info *relaycommon.RelayInfo) (int, error) {
|
||||
// 计算输入 token 数量
|
||||
var inputTexts []string
|
||||
for _, content := range req.Contents {
|
||||
for _, part := range content.Parts {
|
||||
if part.Text != "" {
|
||||
inputTexts = append(inputTexts, part.Text)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
inputText := strings.Join(inputTexts, "\n")
|
||||
inputTokens, err := service.CountTokenInput(inputText, info.UpstreamModelName)
|
||||
info.PromptTokens = inputTokens
|
||||
return inputTokens, err
|
||||
}
|
||||
|
||||
func GeminiHelper(c *gin.Context) (openaiErr *dto.OpenAIErrorWithStatusCode) {
|
||||
req, err := getAndValidateGeminiRequest(c)
|
||||
if err != nil {
|
||||
common.LogError(c, fmt.Sprintf("getAndValidateGeminiRequest error: %s", err.Error()))
|
||||
return service.OpenAIErrorWrapperLocal(err, "invalid_gemini_request", http.StatusBadRequest)
|
||||
}
|
||||
|
||||
relayInfo := relaycommon.GenRelayInfo(c)
|
||||
|
||||
// 检查 Gemini 流式模式
|
||||
checkGeminiStreamMode(c, relayInfo)
|
||||
|
||||
if setting.ShouldCheckPromptSensitive() {
|
||||
sensitiveWords, err := checkGeminiInputSensitive(req)
|
||||
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)
|
||||
}
|
||||
}
|
||||
|
||||
// model mapped 模型映射
|
||||
err = helper.ModelMappedHelper(c, relayInfo)
|
||||
if err != nil {
|
||||
return service.OpenAIErrorWrapperLocal(err, "model_mapped_error", http.StatusBadRequest)
|
||||
}
|
||||
|
||||
if value, exists := c.Get("prompt_tokens"); exists {
|
||||
promptTokens := value.(int)
|
||||
relayInfo.SetPromptTokens(promptTokens)
|
||||
} else {
|
||||
promptTokens, err := getGeminiInputTokens(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.GenerationConfig.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)
|
||||
|
||||
requestBody, err := json.Marshal(req)
|
||||
if err != nil {
|
||||
return service.OpenAIErrorWrapperLocal(err, "marshal_text_request_failed", http.StatusInternalServerError)
|
||||
}
|
||||
|
||||
resp, err := adaptor.DoRequest(c, relayInfo, bytes.NewReader(requestBody))
|
||||
if err != nil {
|
||||
common.LogError(c, "Do gemini request failed: "+err.Error())
|
||||
return service.OpenAIErrorWrapperLocal(err, "do_request_failed", http.StatusInternalServerError)
|
||||
}
|
||||
|
||||
usage, openaiErr := adaptor.DoResponse(c, resp.(*http.Response), relayInfo)
|
||||
if openaiErr != nil {
|
||||
return openaiErr
|
||||
}
|
||||
|
||||
postConsumeQuota(c, relayInfo, usage.(*dto.Usage), preConsumedQuota, userQuota, priceData, "")
|
||||
return nil
|
||||
}
|
||||
@@ -41,27 +41,44 @@ func getAndValidImageRequest(c *gin.Context, info *relaycommon.RelayInfo) (*dto.
|
||||
imageRequest.Quality = "standard"
|
||||
}
|
||||
}
|
||||
if imageRequest.N == 0 {
|
||||
imageRequest.N = 1
|
||||
}
|
||||
default:
|
||||
err := common.UnmarshalBodyReusable(c, imageRequest)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
if imageRequest.Model == "" {
|
||||
imageRequest.Model = "dall-e-3"
|
||||
}
|
||||
|
||||
if strings.Contains(imageRequest.Size, "×") {
|
||||
return nil, errors.New("size an unexpected error occurred in the parameter, please use 'x' instead of the multiplication sign '×'")
|
||||
}
|
||||
|
||||
// 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")
|
||||
}
|
||||
if imageRequest.Size == "" {
|
||||
imageRequest.Size = "1024x1024"
|
||||
}
|
||||
} 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"
|
||||
}
|
||||
// N should between 1 and 10
|
||||
//if imageRequest.N != 0 && (imageRequest.N < 1 || imageRequest.N > 10) {
|
||||
// return service.OpenAIErrorWrapper(errors.New("n must be between 1 and 10"), "invalid_field_value", http.StatusBadRequest)
|
||||
//}
|
||||
if imageRequest.Size == "" {
|
||||
imageRequest.Size = "1024x1024"
|
||||
}
|
||||
} else if imageRequest.Model == "gpt-image-1" {
|
||||
if imageRequest.Quality == "" {
|
||||
imageRequest.Quality = "auto"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -69,63 +86,11 @@ func getAndValidImageRequest(c *gin.Context, info *relaycommon.RelayInfo) (*dto.
|
||||
return nil, errors.New("prompt is required")
|
||||
}
|
||||
|
||||
if imageRequest.Model == "" {
|
||||
imageRequest.Model = "dall-e-2"
|
||||
}
|
||||
if strings.Contains(imageRequest.Size, "×") {
|
||||
return nil, errors.New("size an unexpected error occurred in the parameter, please use 'x' instead of the multiplication sign '×'")
|
||||
}
|
||||
if imageRequest.N == 0 {
|
||||
imageRequest.N = 1
|
||||
}
|
||||
if imageRequest.Size == "" {
|
||||
imageRequest.Size = "1024x1024"
|
||||
}
|
||||
|
||||
err := common.UnmarshalBodyReusable(c, imageRequest)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
if imageRequest.Prompt == "" {
|
||||
return nil, errors.New("prompt is required")
|
||||
}
|
||||
if strings.Contains(imageRequest.Size, "×") {
|
||||
return nil, errors.New("size an unexpected error occurred in the parameter, please use 'x' instead of the multiplication sign '×'")
|
||||
}
|
||||
if imageRequest.N == 0 {
|
||||
imageRequest.N = 1
|
||||
}
|
||||
if imageRequest.Size == "" {
|
||||
imageRequest.Size = "1024x1024"
|
||||
}
|
||||
if imageRequest.Model == "" {
|
||||
imageRequest.Model = "dall-e-2"
|
||||
}
|
||||
// x.ai grok-2-image not support size, quality or style
|
||||
if imageRequest.Size == "empty" {
|
||||
imageRequest.Size = ""
|
||||
}
|
||||
|
||||
// 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")
|
||||
}
|
||||
} 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")
|
||||
}
|
||||
if imageRequest.Quality == "" {
|
||||
imageRequest.Quality = "standard"
|
||||
}
|
||||
//if imageRequest.N != 1 {
|
||||
// return nil, errors.New("n must be 1")
|
||||
//}
|
||||
}
|
||||
// N should between 1 and 10
|
||||
//if imageRequest.N != 0 && (imageRequest.N < 1 || imageRequest.N > 10) {
|
||||
// return service.OpenAIErrorWrapper(errors.New("n must be between 1 and 10"), "invalid_field_value", http.StatusBadRequest)
|
||||
//}
|
||||
if setting.ShouldCheckPromptSensitive() {
|
||||
words, err := service.CheckSensitiveInput(imageRequest.Prompt)
|
||||
if err != nil {
|
||||
@@ -229,6 +194,10 @@ func ImageHelper(c *gin.Context) *dto.OpenAIErrorWithStatusCode {
|
||||
requestBody = bytes.NewBuffer(jsonData)
|
||||
}
|
||||
|
||||
if common.DebugEnabled {
|
||||
println(fmt.Sprintf("image request body: %s", requestBody))
|
||||
}
|
||||
|
||||
statusCodeMappingStr := c.GetString("status_code_mapping")
|
||||
|
||||
resp, err := adaptor.DoRequest(c, relayInfo, requestBody)
|
||||
|
||||
@@ -32,7 +32,23 @@ func RelayMidjourneyImage(c *gin.Context) {
|
||||
})
|
||||
return
|
||||
}
|
||||
resp, err := http.Get(midjourneyTask.ImageUrl)
|
||||
var httpClient *http.Client
|
||||
if channel, err := model.CacheGetChannel(midjourneyTask.ChannelId); err == nil {
|
||||
if proxy, ok := channel.GetSetting()["proxy"]; ok {
|
||||
if proxyURL, ok := proxy.(string); ok && proxyURL != "" {
|
||||
if httpClient, err = service.NewProxyHttpClient(proxyURL); err != nil {
|
||||
c.JSON(400, gin.H{
|
||||
"error": "proxy_url_invalid",
|
||||
})
|
||||
return
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
if httpClient == nil {
|
||||
httpClient = service.GetHttpClient()
|
||||
}
|
||||
resp, err := httpClient.Get(midjourneyTask.ImageUrl)
|
||||
if err != nil {
|
||||
c.JSON(http.StatusInternalServerError, gin.H{
|
||||
"error": "http_get_image_failed",
|
||||
|
||||
171
relay/relay-responses.go
Normal file
171
relay/relay-responses.go
Normal file
@@ -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
|
||||
}
|
||||
@@ -18,6 +18,7 @@ import (
|
||||
"one-api/service"
|
||||
"one-api/setting"
|
||||
"one-api/setting/model_setting"
|
||||
"one-api/setting/operation_setting"
|
||||
"strings"
|
||||
"time"
|
||||
|
||||
@@ -46,6 +47,20 @@ func getAndValidateTextRequest(c *gin.Context, relayInfo *relaycommon.RelayInfo)
|
||||
if textRequest.Model == "" {
|
||||
return nil, errors.New("model is required")
|
||||
}
|
||||
if textRequest.WebSearchOptions != nil {
|
||||
if textRequest.WebSearchOptions.SearchContextSize != "" {
|
||||
validSizes := map[string]bool{
|
||||
"high": true,
|
||||
"medium": true,
|
||||
"low": true,
|
||||
}
|
||||
if !validSizes[textRequest.WebSearchOptions.SearchContextSize] {
|
||||
return nil, errors.New("invalid search_context_size, must be one of: high, medium, low")
|
||||
}
|
||||
} else {
|
||||
textRequest.WebSearchOptions.SearchContextSize = "medium"
|
||||
}
|
||||
}
|
||||
switch relayInfo.RelayMode {
|
||||
case relayconstant.RelayModeCompletions:
|
||||
if textRequest.Prompt == "" {
|
||||
@@ -75,6 +90,10 @@ func TextHelper(c *gin.Context) (openaiErr *dto.OpenAIErrorWithStatusCode) {
|
||||
|
||||
// get & validate textRequest 获取并验证文本请求
|
||||
textRequest, err := getAndValidateTextRequest(c, relayInfo)
|
||||
if textRequest.WebSearchOptions != nil {
|
||||
c.Set("chat_completion_web_search_context_size", textRequest.WebSearchOptions.SearchContextSize)
|
||||
}
|
||||
|
||||
if err != nil {
|
||||
common.LogError(c, fmt.Sprintf("getAndValidateTextRequest failed: %s", err.Error()))
|
||||
return service.OpenAIErrorWrapperLocal(err, "invalid_text_request", http.StatusBadRequest)
|
||||
@@ -193,6 +212,7 @@ func TextHelper(c *gin.Context) (openaiErr *dto.OpenAIErrorWithStatusCode) {
|
||||
|
||||
var httpResp *http.Response
|
||||
resp, err := adaptor.DoRequest(c, relayInfo, requestBody)
|
||||
|
||||
if err != nil {
|
||||
return service.OpenAIErrorWrapper(err, "do_request_failed", http.StatusInternalServerError)
|
||||
}
|
||||
@@ -358,6 +378,45 @@ 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())
|
||||
}
|
||||
} else if strings.HasSuffix(modelName, "search-preview") {
|
||||
// search-preview 模型不支持 response api
|
||||
searchContextSize := ctx.GetString("chat_completion_web_search_context_size")
|
||||
if searchContextSize == "" {
|
||||
searchContextSize = "medium"
|
||||
}
|
||||
webSearchPrice = operation_setting.GetWebSearchPricePerThousand(modelName, searchContextSize)
|
||||
dWebSearchQuota = decimal.NewFromFloat(webSearchPrice).
|
||||
Div(decimal.NewFromInt(1000)).Mul(dGroupRatio).Mul(dQuotaPerUnit)
|
||||
extraContent += fmt.Sprintf("Web Search 调用 1 次,上下文大小 %s,调用花费 %s",
|
||||
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 +439,9 @@ 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 +492,26 @@ func postConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo,
|
||||
other["image_ratio"] = imageRatio
|
||||
other["image_output"] = imageTokens
|
||||
}
|
||||
if !dWebSearchQuota.IsZero() {
|
||||
if 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
|
||||
}
|
||||
} else if strings.HasSuffix(modelName, "search-preview") {
|
||||
other["web_search"] = true
|
||||
other["web_search_call_count"] = 1
|
||||
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)
|
||||
}
|
||||
|
||||
@@ -10,6 +10,7 @@ import (
|
||||
"one-api/relay/channel/claude"
|
||||
"one-api/relay/channel/cloudflare"
|
||||
"one-api/relay/channel/cohere"
|
||||
"one-api/relay/channel/coze"
|
||||
"one-api/relay/channel/deepseek"
|
||||
"one-api/relay/channel/dify"
|
||||
"one-api/relay/channel/gemini"
|
||||
@@ -88,6 +89,8 @@ func GetAdaptor(apiType int) channel.Adaptor {
|
||||
return &openai.Adaptor{}
|
||||
case constant.APITypeXai:
|
||||
return &xai.Adaptor{}
|
||||
case constant.APITypeCoze:
|
||||
return &coze.Adaptor{}
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
@@ -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)
|
||||
@@ -77,6 +79,14 @@ func SetRelayRouter(router *gin.Engine) {
|
||||
relaySunoRouter.GET("/fetch/:id", controller.RelayTask)
|
||||
}
|
||||
|
||||
relayGeminiRouter := router.Group("/v1beta")
|
||||
relayGeminiRouter.Use(middleware.TokenAuth())
|
||||
relayGeminiRouter.Use(middleware.ModelRequestRateLimit())
|
||||
relayGeminiRouter.Use(middleware.Distribute())
|
||||
{
|
||||
// Gemini API 路径格式: /v1beta/models/{model_name}:{action}
|
||||
relayGeminiRouter.POST("/models/*path", controller.Relay)
|
||||
}
|
||||
}
|
||||
|
||||
func registerMjRouterGroup(relayMjRouter *gin.RouterGroup) {
|
||||
|
||||
@@ -24,7 +24,7 @@ func DoWorkerRequest(req *WorkerRequest) (*http.Response, error) {
|
||||
if !setting.EnableWorker() {
|
||||
return nil, fmt.Errorf("worker not enabled")
|
||||
}
|
||||
if !strings.HasPrefix(req.URL, "https") {
|
||||
if !setting.WorkerAllowHttpImageRequestEnabled && !strings.HasPrefix(req.URL, "https") {
|
||||
return nil, fmt.Errorf("only support https url")
|
||||
}
|
||||
|
||||
|
||||
@@ -5,6 +5,7 @@ import (
|
||||
"fmt"
|
||||
"one-api/common"
|
||||
"one-api/dto"
|
||||
"one-api/relay/channel/openrouter"
|
||||
relaycommon "one-api/relay/common"
|
||||
"strings"
|
||||
)
|
||||
@@ -18,10 +19,24 @@ func ClaudeToOpenAIRequest(claudeRequest dto.ClaudeRequest, info *relaycommon.Re
|
||||
Stream: claudeRequest.Stream,
|
||||
}
|
||||
|
||||
isOpenRouter := info.ChannelType == common.ChannelTypeOpenRouter
|
||||
|
||||
if claudeRequest.Thinking != nil {
|
||||
if strings.HasSuffix(info.OriginModelName, "-thinking") &&
|
||||
!strings.HasSuffix(claudeRequest.Model, "-thinking") {
|
||||
openAIRequest.Model = openAIRequest.Model + "-thinking"
|
||||
if isOpenRouter {
|
||||
reasoning := openrouter.RequestReasoning{
|
||||
MaxTokens: claudeRequest.Thinking.BudgetTokens,
|
||||
}
|
||||
reasoningJSON, err := json.Marshal(reasoning)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("failed to marshal reasoning: %w", err)
|
||||
}
|
||||
openAIRequest.Reasoning = reasoningJSON
|
||||
} else {
|
||||
thinkingSuffix := "-thinking"
|
||||
if strings.HasSuffix(info.OriginModelName, thinkingSuffix) &&
|
||||
!strings.HasSuffix(openAIRequest.Model, thinkingSuffix) {
|
||||
openAIRequest.Model = openAIRequest.Model + thinkingSuffix
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -62,16 +77,30 @@ func ClaudeToOpenAIRequest(claudeRequest dto.ClaudeRequest, info *relaycommon.Re
|
||||
} else {
|
||||
systems := claudeRequest.ParseSystem()
|
||||
if len(systems) > 0 {
|
||||
systemStr := ""
|
||||
openAIMessage := dto.Message{
|
||||
Role: "system",
|
||||
}
|
||||
isOpenRouterClaude := isOpenRouter && strings.HasPrefix(info.UpstreamModelName, "anthropic/claude")
|
||||
if isOpenRouterClaude {
|
||||
systemMediaMessages := make([]dto.MediaContent, 0, len(systems))
|
||||
for _, system := range systems {
|
||||
message := dto.MediaContent{
|
||||
Type: "text",
|
||||
Text: system.GetText(),
|
||||
CacheControl: system.CacheControl,
|
||||
}
|
||||
systemMediaMessages = append(systemMediaMessages, message)
|
||||
}
|
||||
openAIMessage.SetMediaContent(systemMediaMessages)
|
||||
} else {
|
||||
systemStr := ""
|
||||
for _, system := range systems {
|
||||
if system.Text != nil {
|
||||
systemStr += *system.Text
|
||||
}
|
||||
}
|
||||
openAIMessage.SetStringContent(systemStr)
|
||||
}
|
||||
openAIMessages = append(openAIMessages, openAIMessage)
|
||||
}
|
||||
}
|
||||
@@ -99,6 +128,7 @@ func ClaudeToOpenAIRequest(claudeRequest dto.ClaudeRequest, info *relaycommon.Re
|
||||
message := dto.MediaContent{
|
||||
Type: "text",
|
||||
Text: mediaMsg.GetText(),
|
||||
CacheControl: mediaMsg.CacheControl,
|
||||
}
|
||||
mediaMessages = append(mediaMessages, message)
|
||||
case "image":
|
||||
|
||||
@@ -3,12 +3,13 @@ package service
|
||||
import (
|
||||
"context"
|
||||
"fmt"
|
||||
"golang.org/x/net/proxy"
|
||||
"net"
|
||||
"net/http"
|
||||
"net/url"
|
||||
"one-api/common"
|
||||
"time"
|
||||
|
||||
"golang.org/x/net/proxy"
|
||||
)
|
||||
|
||||
var httpClient *http.Client
|
||||
@@ -55,7 +56,7 @@ func NewProxyHttpClient(proxyURL string) (*http.Client, error) {
|
||||
},
|
||||
}, nil
|
||||
|
||||
case "socks5":
|
||||
case "socks5", "socks5h":
|
||||
// 获取认证信息
|
||||
var auth *proxy.Auth
|
||||
if parsedURL.User != nil {
|
||||
@@ -69,6 +70,7 @@ func NewProxyHttpClient(proxyURL string) (*http.Client, error) {
|
||||
}
|
||||
|
||||
// 创建 SOCKS5 代理拨号器
|
||||
// proxy.SOCKS5 使用 tcp 参数,所有 TCP 连接包括 DNS 查询都将通过代理进行。行为与 socks5h 相同
|
||||
dialer, err := proxy.SOCKS5("tcp", parsedURL.Host, auth, proxy.Direct)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
|
||||
@@ -120,11 +120,12 @@ func getImageToken(info *relaycommon.RelayInfo, imageUrl *dto.MessageImageUrl, m
|
||||
var config image.Config
|
||||
var err error
|
||||
var format string
|
||||
var b64str string
|
||||
if strings.HasPrefix(imageUrl.Url, "http") {
|
||||
config, format, err = DecodeUrlImageData(imageUrl.Url)
|
||||
} else {
|
||||
common.SysLog(fmt.Sprintf("decoding image"))
|
||||
config, format, _, err = DecodeBase64ImageData(imageUrl.Url)
|
||||
config, format, b64str, err = DecodeBase64ImageData(imageUrl.Url)
|
||||
}
|
||||
if err != nil {
|
||||
return 0, err
|
||||
@@ -132,7 +133,12 @@ func getImageToken(info *relaycommon.RelayInfo, imageUrl *dto.MessageImageUrl, m
|
||||
imageUrl.MimeType = format
|
||||
|
||||
if config.Width == 0 || config.Height == 0 {
|
||||
return 0, errors.New(fmt.Sprintf("fail to decode image config: %s", imageUrl.Url))
|
||||
// not an image
|
||||
if format != "" && b64str != "" {
|
||||
// file type
|
||||
return 3 * baseTokens, nil
|
||||
}
|
||||
return 0, errors.New(fmt.Sprintf("fail to decode base64 config: %s", imageUrl.Url))
|
||||
}
|
||||
|
||||
shortSide := config.Width
|
||||
@@ -400,6 +406,8 @@ 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)
|
||||
}
|
||||
|
||||
@@ -36,6 +36,10 @@ var defaultCacheRatio = map[string]float64{
|
||||
"claude-3-5-sonnet-20241022": 0.1,
|
||||
"claude-3-7-sonnet-20250219": 0.1,
|
||||
"claude-3-7-sonnet-20250219-thinking": 0.1,
|
||||
"claude-sonnet-4-20250514": 0.1,
|
||||
"claude-sonnet-4-20250514-thinking": 0.1,
|
||||
"claude-opus-4-20250514": 0.1,
|
||||
"claude-opus-4-20250514-thinking": 0.1,
|
||||
}
|
||||
|
||||
var defaultCreateCacheRatio = map[string]float64{
|
||||
@@ -47,6 +51,10 @@ var defaultCreateCacheRatio = map[string]float64{
|
||||
"claude-3-5-sonnet-20241022": 1.25,
|
||||
"claude-3-7-sonnet-20250219": 1.25,
|
||||
"claude-3-7-sonnet-20250219-thinking": 1.25,
|
||||
"claude-sonnet-4-20250514": 1.25,
|
||||
"claude-sonnet-4-20250514-thinking": 1.25,
|
||||
"claude-opus-4-20250514": 1.25,
|
||||
"claude-opus-4-20250514-thinking": 1.25,
|
||||
}
|
||||
|
||||
//var defaultCreateCacheRatio = map[string]float64{}
|
||||
|
||||
@@ -114,7 +114,9 @@ var defaultModelRatio = map[string]float64{
|
||||
"claude-3-5-sonnet-20241022": 1.5,
|
||||
"claude-3-7-sonnet-20250219": 1.5,
|
||||
"claude-3-7-sonnet-20250219-thinking": 1.5,
|
||||
"claude-sonnet-4-20250514": 1.5,
|
||||
"claude-3-opus-20240229": 7.5, // $15 / 1M tokens
|
||||
"claude-opus-4-20250514": 7.5,
|
||||
"ERNIE-4.0-8K": 0.120 * RMB,
|
||||
"ERNIE-3.5-8K": 0.012 * RMB,
|
||||
"ERNIE-3.5-8K-0205": 0.024 * RMB,
|
||||
@@ -440,13 +442,15 @@ func getHardcodedCompletionModelRatio(name string) (float64, bool) {
|
||||
if name == "chatgpt-4o-latest" {
|
||||
return 3, true
|
||||
}
|
||||
if strings.Contains(name, "claude-instant-1") {
|
||||
return 3, true
|
||||
} else if strings.Contains(name, "claude-2") {
|
||||
return 3, true
|
||||
} else if strings.Contains(name, "claude-3") {
|
||||
|
||||
if strings.Contains(name, "claude-3") {
|
||||
return 5, true
|
||||
} else if strings.Contains(name, "claude-sonnet-4") || strings.Contains(name, "claude-opus-4") {
|
||||
return 5, true
|
||||
} else if strings.Contains(name, "claude-instant-1") || strings.Contains(name, "claude-2") {
|
||||
return 3, true
|
||||
}
|
||||
|
||||
if strings.HasPrefix(name, "gpt-3.5") {
|
||||
if name == "gpt-3.5-turbo" || strings.HasSuffix(name, "0125") {
|
||||
// https://openai.com/blog/new-embedding-models-and-api-updates
|
||||
|
||||
57
setting/operation_setting/tools.go
Normal file
57
setting/operation_setting/tools.go
Normal file
@@ -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
|
||||
}
|
||||
@@ -1,6 +1,64 @@
|
||||
package setting
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"one-api/common"
|
||||
"sync"
|
||||
)
|
||||
|
||||
var ModelRequestRateLimitEnabled = false
|
||||
var ModelRequestRateLimitDurationMinutes = 1
|
||||
var ModelRequestRateLimitCount = 0
|
||||
var ModelRequestRateLimitSuccessCount = 1000
|
||||
var ModelRequestRateLimitGroup = map[string][2]int{}
|
||||
var ModelRequestRateLimitMutex sync.RWMutex
|
||||
|
||||
func ModelRequestRateLimitGroup2JSONString() string {
|
||||
ModelRequestRateLimitMutex.RLock()
|
||||
defer ModelRequestRateLimitMutex.RUnlock()
|
||||
|
||||
jsonBytes, err := json.Marshal(ModelRequestRateLimitGroup)
|
||||
if err != nil {
|
||||
common.SysError("error marshalling model ratio: " + err.Error())
|
||||
}
|
||||
return string(jsonBytes)
|
||||
}
|
||||
|
||||
func UpdateModelRequestRateLimitGroupByJSONString(jsonStr string) error {
|
||||
ModelRequestRateLimitMutex.RLock()
|
||||
defer ModelRequestRateLimitMutex.RUnlock()
|
||||
|
||||
ModelRequestRateLimitGroup = make(map[string][2]int)
|
||||
return json.Unmarshal([]byte(jsonStr), &ModelRequestRateLimitGroup)
|
||||
}
|
||||
|
||||
func GetGroupRateLimit(group string) (totalCount, successCount int, found bool) {
|
||||
ModelRequestRateLimitMutex.RLock()
|
||||
defer ModelRequestRateLimitMutex.RUnlock()
|
||||
|
||||
if ModelRequestRateLimitGroup == nil {
|
||||
return 0, 0, false
|
||||
}
|
||||
|
||||
limits, found := ModelRequestRateLimitGroup[group]
|
||||
if !found {
|
||||
return 0, 0, false
|
||||
}
|
||||
return limits[0], limits[1], true
|
||||
}
|
||||
|
||||
func CheckModelRequestRateLimitGroup(jsonStr string) error {
|
||||
checkModelRequestRateLimitGroup := make(map[string][2]int)
|
||||
err := json.Unmarshal([]byte(jsonStr), &checkModelRequestRateLimitGroup)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
for group, limits := range checkModelRequestRateLimitGroup {
|
||||
if limits[0] < 0 || limits[1] < 1 {
|
||||
return fmt.Errorf("group %s has negative rate limit values: [%d, %d]", group, limits[0], limits[1])
|
||||
}
|
||||
}
|
||||
|
||||
return nil
|
||||
}
|
||||
|
||||
@@ -3,6 +3,7 @@ package setting
|
||||
var ServerAddress = "http://localhost:3000"
|
||||
var WorkerUrl = ""
|
||||
var WorkerValidKey = ""
|
||||
var WorkerAllowHttpImageRequestEnabled = false
|
||||
|
||||
func EnableWorker() bool {
|
||||
return WorkerUrl != ""
|
||||
|
||||
@@ -871,7 +871,16 @@ const ChannelsTable = () => {
|
||||
};
|
||||
|
||||
const refresh = async () => {
|
||||
if (searchKeyword === '' && searchGroup === '' && searchModel === '') {
|
||||
await loadChannels(activePage - 1, pageSize, idSort, enableTagMode);
|
||||
} else {
|
||||
await searchChannels(
|
||||
searchKeyword,
|
||||
searchGroup,
|
||||
searchModel,
|
||||
enableTagMode,
|
||||
);
|
||||
}
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
@@ -879,9 +888,13 @@ const ChannelsTable = () => {
|
||||
const localIdSort = localStorage.getItem('id-sort') === 'true';
|
||||
const localPageSize =
|
||||
parseInt(localStorage.getItem('page-size')) || ITEMS_PER_PAGE;
|
||||
const localEnableTagMode = localStorage.getItem('enable-tag-mode') === 'true';
|
||||
const localEnableBatchDelete = localStorage.getItem('enable-batch-delete') === 'true';
|
||||
setIdSort(localIdSort);
|
||||
setPageSize(localPageSize);
|
||||
loadChannels(0, localPageSize, localIdSort, enableTagMode)
|
||||
setEnableTagMode(localEnableTagMode);
|
||||
setEnableBatchDelete(localEnableBatchDelete);
|
||||
loadChannels(0, localPageSize, localIdSort, localEnableTagMode)
|
||||
.then()
|
||||
.catch((reason) => {
|
||||
showError(reason);
|
||||
@@ -979,8 +992,8 @@ const ChannelsTable = () => {
|
||||
enableTagMode,
|
||||
) => {
|
||||
if (searchKeyword === '' && searchGroup === '' && searchModel === '') {
|
||||
await loadChannels(0, pageSize, idSort, enableTagMode);
|
||||
setActivePage(1);
|
||||
await loadChannels(activePage - 1, pageSize, idSort, enableTagMode);
|
||||
// setActivePage(1);
|
||||
return;
|
||||
}
|
||||
setSearching(true);
|
||||
@@ -1477,10 +1490,12 @@ const ChannelsTable = () => {
|
||||
{t('开启批量操作')}
|
||||
</Typography.Text>
|
||||
<Switch
|
||||
checked={enableBatchDelete}
|
||||
label={t('开启批量操作')}
|
||||
uncheckedText={t('关')}
|
||||
aria-label={t('是否开启批量操作')}
|
||||
onChange={(v) => {
|
||||
localStorage.setItem('enable-batch-delete', v + '');
|
||||
setEnableBatchDelete(v);
|
||||
}}
|
||||
/>
|
||||
@@ -1544,6 +1559,7 @@ const ChannelsTable = () => {
|
||||
uncheckedText={t('关')}
|
||||
aria-label={t('是否启用标签聚合')}
|
||||
onChange={(v) => {
|
||||
localStorage.setItem('enable-tag-mode', v + '');
|
||||
setEnableTagMode(v);
|
||||
loadChannels(0, pageSize, idSort, v);
|
||||
}}
|
||||
|
||||
@@ -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({
|
||||
|
||||
@@ -39,8 +39,10 @@ const ModelSetting = () => {
|
||||
item.key === 'claude.default_max_tokens' ||
|
||||
item.key === 'gemini.supported_imagine_models'
|
||||
) {
|
||||
if (item.value !== '') {
|
||||
item.value = JSON.stringify(JSON.parse(item.value), null, 2);
|
||||
}
|
||||
}
|
||||
if (item.key.endsWith('Enabled') || item.key.endsWith('enabled')) {
|
||||
newInputs[item.key] = item.value === 'true' ? true : false;
|
||||
} else {
|
||||
@@ -60,6 +62,7 @@ const ModelSetting = () => {
|
||||
// showSuccess('刷新成功');
|
||||
} catch (error) {
|
||||
showError('刷新失败');
|
||||
console.error(error);
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
|
||||
@@ -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}
|
||||
|
||||
@@ -13,6 +13,7 @@ const RateLimitSetting = () => {
|
||||
ModelRequestRateLimitCount: 0,
|
||||
ModelRequestRateLimitSuccessCount: 1000,
|
||||
ModelRequestRateLimitDurationMinutes: 1,
|
||||
ModelRequestRateLimitGroup: '',
|
||||
});
|
||||
|
||||
let [loading, setLoading] = useState(false);
|
||||
@@ -23,6 +24,10 @@ const RateLimitSetting = () => {
|
||||
if (success) {
|
||||
let newInputs = {};
|
||||
data.forEach((item) => {
|
||||
if (item.key === 'ModelRequestRateLimitGroup') {
|
||||
item.value = JSON.stringify(JSON.parse(item.value), null, 2);
|
||||
}
|
||||
|
||||
if (item.key.endsWith('Enabled')) {
|
||||
newInputs[item.key] = item.value === 'true' ? true : false;
|
||||
} else {
|
||||
|
||||
@@ -19,7 +19,7 @@ import {
|
||||
verifyJSON,
|
||||
} from '../helpers/utils';
|
||||
import { API } from '../helpers/api';
|
||||
import axios from "axios";
|
||||
import axios from 'axios';
|
||||
|
||||
const SystemSetting = () => {
|
||||
let [inputs, setInputs] = useState({
|
||||
@@ -45,6 +45,7 @@ const SystemSetting = () => {
|
||||
ServerAddress: '',
|
||||
WorkerUrl: '',
|
||||
WorkerValidKey: '',
|
||||
WorkerAllowHttpImageRequestEnabled: '',
|
||||
EpayId: '',
|
||||
EpayKey: '',
|
||||
Price: 7.3,
|
||||
@@ -111,6 +112,7 @@ const SystemSetting = () => {
|
||||
case 'SMTPSSLEnabled':
|
||||
case 'LinuxDOOAuthEnabled':
|
||||
case 'oidc.enabled':
|
||||
case 'WorkerAllowHttpImageRequestEnabled':
|
||||
item.value = item.value === 'true';
|
||||
break;
|
||||
case 'Price':
|
||||
@@ -206,7 +208,11 @@ const SystemSetting = () => {
|
||||
let WorkerUrl = removeTrailingSlash(inputs.WorkerUrl);
|
||||
const options = [
|
||||
{ key: 'WorkerUrl', value: WorkerUrl },
|
||||
]
|
||||
{
|
||||
key: 'WorkerAllowHttpImageRequestEnabled',
|
||||
value: inputs.WorkerAllowHttpImageRequestEnabled ? 'true' : 'false',
|
||||
},
|
||||
];
|
||||
if (inputs.WorkerValidKey !== '' || WorkerUrl === '') {
|
||||
options.push({ key: 'WorkerValidKey', value: inputs.WorkerValidKey });
|
||||
}
|
||||
@@ -302,7 +308,8 @@ const SystemSetting = () => {
|
||||
const domain = emailToAdd.trim();
|
||||
|
||||
// 验证域名格式
|
||||
const domainRegex = /^([a-zA-Z0-9]([a-zA-Z0-9\-]{0,61}[a-zA-Z0-9])?\.)+[a-zA-Z]{2,}$/;
|
||||
const domainRegex =
|
||||
/^([a-zA-Z0-9]([a-zA-Z0-9\-]{0,61}[a-zA-Z0-9])?\.)+[a-zA-Z]{2,}$/;
|
||||
if (!domainRegex.test(domain)) {
|
||||
showError('邮箱域名格式不正确,请输入有效的域名,如 gmail.com');
|
||||
return;
|
||||
@@ -577,6 +584,12 @@ const SystemSetting = () => {
|
||||
/>
|
||||
</Col>
|
||||
</Row>
|
||||
<Form.Checkbox
|
||||
field='WorkerAllowHttpImageRequestEnabled'
|
||||
noLabel
|
||||
>
|
||||
允许 HTTP 协议图片请求(适用于自部署代理)
|
||||
</Form.Checkbox>
|
||||
<Button onClick={submitWorker}>更新Worker设置</Button>
|
||||
</Form.Section>
|
||||
</Card>
|
||||
@@ -799,7 +812,13 @@ const SystemSetting = () => {
|
||||
onChange={(value) => setEmailToAdd(value)}
|
||||
style={{ marginTop: 16 }}
|
||||
suffix={
|
||||
<Button theme="solid" type="primary" onClick={handleAddEmail}>添加</Button>
|
||||
<Button
|
||||
theme='solid'
|
||||
type='primary'
|
||||
onClick={handleAddEmail}
|
||||
>
|
||||
添加
|
||||
</Button>
|
||||
}
|
||||
onEnterPress={handleAddEmail}
|
||||
/>
|
||||
|
||||
@@ -118,6 +118,11 @@ export const CHANNEL_OPTIONS = [
|
||||
{
|
||||
value: 48,
|
||||
color: 'blue',
|
||||
label: 'xAI'
|
||||
}
|
||||
label: 'xAI',
|
||||
},
|
||||
{
|
||||
value: 49,
|
||||
color: 'blue',
|
||||
label: 'Coze',
|
||||
},
|
||||
];
|
||||
|
||||
@@ -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}}',
|
||||
{
|
||||
@@ -407,7 +430,7 @@ export function renderModelPrice(
|
||||
total: price.toFixed(6),
|
||||
},
|
||||
)
|
||||
: image && imageOutputTokens > 0
|
||||
: 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}}',
|
||||
{
|
||||
@@ -421,6 +444,57 @@ export function renderModelPrice(
|
||||
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}}',
|
||||
{
|
||||
@@ -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}}', {
|
||||
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 {
|
||||
return i18next.t('模型倍率 {{modelRatio}},输出倍率 {{completionRatio}},{{ratioType}} {{ratio}}', {
|
||||
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
|
||||
});
|
||||
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,
|
||||
},
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -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",
|
||||
@@ -1085,7 +1086,7 @@
|
||||
"没有账户?": "No account? ",
|
||||
"请输入 AZURE_OPENAI_ENDPOINT,例如:https://docs-test-001.openai.azure.com": "Please enter AZURE_OPENAI_ENDPOINT, e.g.: https://docs-test-001.openai.azure.com",
|
||||
"默认 API 版本": "Default API Version",
|
||||
"请输入默认 API 版本,例如:2024-12-01-preview": "Please enter default API version, e.g.: 2024-12-01-preview.",
|
||||
"请输入默认 API 版本,例如:2025-04-01-preview": "Please enter default API version, e.g.: 2025-04-01-preview.",
|
||||
"请为渠道命名": "Please name the channel",
|
||||
"请选择可以使用该渠道的分组": "Please select groups that can use this channel",
|
||||
"请在系统设置页面编辑分组倍率以添加新的分组:": "Please edit Group ratios in system settings to add new groups:",
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user