mirror of
https://github.com/songquanpeng/one-api.git
synced 2025-10-26 19:33:41 +08:00
Compare commits
13 Commits
v0.6.7
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v0.6.8-alp
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20
.github/workflows/ci.yml
vendored
20
.github/workflows/ci.yml
vendored
@@ -36,26 +36,12 @@ jobs:
|
||||
# in the next step as well as the next job.
|
||||
- name: Test
|
||||
run: go test -cover -coverprofile=coverage.txt ./...
|
||||
|
||||
- name: Archive code coverage results
|
||||
uses: actions/upload-artifact@v4
|
||||
- uses: codecov/codecov-action@v4
|
||||
with:
|
||||
name: code-coverage
|
||||
path: coverage.txt # Make sure to use the same file name you chose for the "-coverprofile" in the "Test" step
|
||||
|
||||
code_coverage:
|
||||
name: "Code coverage report"
|
||||
if: github.event_name == 'pull_request' # Do not run when workflow is triggered by push to main branch
|
||||
runs-on: ubuntu-latest
|
||||
needs: unit_tests # Depends on the artifact uploaded by the "unit_tests" job
|
||||
steps:
|
||||
- uses: fgrosse/go-coverage-report@v1.0.2 # Consider using a Git revision for maximum security
|
||||
with:
|
||||
coverage-artifact-name: "code-coverage" # can be omitted if you used this default value
|
||||
coverage-file-name: "coverage.txt" # can be omitted if you used this default value
|
||||
token: ${{ secrets.CODECOV_TOKEN }}
|
||||
|
||||
commit_lint:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v3
|
||||
- uses: wagoid/commitlint-github-action@v6
|
||||
- uses: wagoid/commitlint-github-action@v6
|
||||
|
||||
10
README.en.md
10
README.en.md
@@ -101,7 +101,7 @@ Nginx reference configuration:
|
||||
```
|
||||
server{
|
||||
server_name openai.justsong.cn; # Modify your domain name accordingly
|
||||
|
||||
|
||||
location / {
|
||||
client_max_body_size 64m;
|
||||
proxy_http_version 1.1;
|
||||
@@ -132,12 +132,12 @@ The initial account username is `root` and password is `123456`.
|
||||
1. Download the executable file from [GitHub Releases](https://github.com/songquanpeng/one-api/releases/latest) or compile from source:
|
||||
```shell
|
||||
git clone https://github.com/songquanpeng/one-api.git
|
||||
|
||||
|
||||
# Build the frontend
|
||||
cd one-api/web/default
|
||||
npm install
|
||||
npm run build
|
||||
|
||||
|
||||
# Build the backend
|
||||
cd ../..
|
||||
go mod download
|
||||
@@ -287,7 +287,9 @@ If the channel ID is not provided, load balancing will be used to distribute the
|
||||
+ Double-check that your interface address and API Key are correct.
|
||||
|
||||
## Related Projects
|
||||
[FastGPT](https://github.com/labring/FastGPT): Knowledge question answering system based on the LLM
|
||||
* [FastGPT](https://github.com/labring/FastGPT): Knowledge question answering system based on the LLM
|
||||
* [VChart](https://github.com/VisActor/VChart): More than just a cross-platform charting library, but also an expressive data storyteller.
|
||||
* [VMind](https://github.com/VisActor/VMind): Not just automatic, but also fantastic. Open-source solution for intelligent visualization.
|
||||
|
||||
## Note
|
||||
This project is an open-source project. Please use it in compliance with OpenAI's [Terms of Use](https://openai.com/policies/terms-of-use) and **applicable laws and regulations**. It must not be used for illegal purposes.
|
||||
|
||||
12
README.md
12
README.md
@@ -53,7 +53,7 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型,开箱即用
|
||||
|
||||
> [!NOTE]
|
||||
> 本项目为开源项目,使用者必须在遵循 OpenAI 的[使用条款](https://openai.com/policies/terms-of-use)以及**法律法规**的情况下使用,不得用于非法用途。
|
||||
>
|
||||
>
|
||||
> 根据[《生成式人工智能服务管理暂行办法》](http://www.cac.gov.cn/2023-07/13/c_1690898327029107.htm)的要求,请勿对中国地区公众提供一切未经备案的生成式人工智能服务。
|
||||
|
||||
> [!WARNING]
|
||||
@@ -144,7 +144,7 @@ Nginx 的参考配置:
|
||||
```
|
||||
server{
|
||||
server_name openai.justsong.cn; # 请根据实际情况修改你的域名
|
||||
|
||||
|
||||
location / {
|
||||
client_max_body_size 64m;
|
||||
proxy_http_version 1.1;
|
||||
@@ -189,12 +189,12 @@ docker-compose ps
|
||||
1. 从 [GitHub Releases](https://github.com/songquanpeng/one-api/releases/latest) 下载可执行文件或者从源码编译:
|
||||
```shell
|
||||
git clone https://github.com/songquanpeng/one-api.git
|
||||
|
||||
|
||||
# 构建前端
|
||||
cd one-api/web/default
|
||||
npm install
|
||||
npm run build
|
||||
|
||||
|
||||
# 构建后端
|
||||
cd ../..
|
||||
go mod download
|
||||
@@ -321,7 +321,7 @@ Render 可以直接部署 docker 镜像,不需要 fork 仓库:https://dashbo
|
||||
例如对于 OpenAI 的官方库:
|
||||
```bash
|
||||
OPENAI_API_KEY="sk-xxxxxx"
|
||||
OPENAI_API_BASE="https://<HOST>:<PORT>/v1"
|
||||
OPENAI_API_BASE="https://<HOST>:<PORT>/v1"
|
||||
```
|
||||
|
||||
```mermaid
|
||||
@@ -448,6 +448,8 @@ https://openai.justsong.cn
|
||||
## 相关项目
|
||||
* [FastGPT](https://github.com/labring/FastGPT): 基于 LLM 大语言模型的知识库问答系统
|
||||
* [ChatGPT Next Web](https://github.com/Yidadaa/ChatGPT-Next-Web): 一键拥有你自己的跨平台 ChatGPT 应用
|
||||
* [VChart](https://github.com/VisActor/VChart): 不只是开箱即用的多端图表库,更是生动灵活的数据故事讲述者。
|
||||
* [VMind](https://github.com/VisActor/VMind): 不仅自动,还很智能。开源智能可视化解决方案。
|
||||
|
||||
## 注意
|
||||
|
||||
|
||||
@@ -19,4 +19,5 @@ const (
|
||||
TokenName = "token_name"
|
||||
BaseURL = "base_url"
|
||||
AvailableModels = "available_models"
|
||||
KeyRequestBody = "key_request_body"
|
||||
)
|
||||
|
||||
@@ -4,14 +4,13 @@ import (
|
||||
"bytes"
|
||||
"encoding/json"
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/songquanpeng/one-api/common/ctxkey"
|
||||
"io"
|
||||
"strings"
|
||||
)
|
||||
|
||||
const KeyRequestBody = "key_request_body"
|
||||
|
||||
func GetRequestBody(c *gin.Context) ([]byte, error) {
|
||||
requestBody, _ := c.Get(KeyRequestBody)
|
||||
requestBody, _ := c.Get(ctxkey.KeyRequestBody)
|
||||
if requestBody != nil {
|
||||
return requestBody.([]byte), nil
|
||||
}
|
||||
@@ -20,7 +19,7 @@ func GetRequestBody(c *gin.Context) ([]byte, error) {
|
||||
return nil, err
|
||||
}
|
||||
_ = c.Request.Body.Close()
|
||||
c.Set(KeyRequestBody, requestBody)
|
||||
c.Set(ctxkey.KeyRequestBody, requestBody)
|
||||
return requestBody.([]byte), nil
|
||||
}
|
||||
|
||||
|
||||
29
common/render/render.go
Normal file
29
common/render/render.go
Normal file
@@ -0,0 +1,29 @@
|
||||
package render
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/songquanpeng/one-api/common"
|
||||
"strings"
|
||||
)
|
||||
|
||||
func StringData(c *gin.Context, str string) {
|
||||
str = strings.TrimPrefix(str, "data: ")
|
||||
str = strings.TrimSuffix(str, "\r")
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + str})
|
||||
c.Writer.Flush()
|
||||
}
|
||||
|
||||
func ObjectData(c *gin.Context, object interface{}) error {
|
||||
jsonData, err := json.Marshal(object)
|
||||
if err != nil {
|
||||
return fmt.Errorf("error marshalling object: %w", err)
|
||||
}
|
||||
StringData(c, string(jsonData))
|
||||
return nil
|
||||
}
|
||||
|
||||
func Done(c *gin.Context) {
|
||||
StringData(c, "[DONE]")
|
||||
}
|
||||
@@ -48,7 +48,7 @@ func Relay(c *gin.Context) {
|
||||
logger.Debugf(ctx, "request body: %s", string(requestBody))
|
||||
}
|
||||
channelId := c.GetInt(ctxkey.ChannelId)
|
||||
userId := c.GetInt("id")
|
||||
userId := c.GetInt(ctxkey.Id)
|
||||
bizErr := relayHelper(c, relayMode)
|
||||
if bizErr == nil {
|
||||
monitor.Emit(channelId, true)
|
||||
|
||||
4
go.mod
4
go.mod
@@ -24,7 +24,7 @@ require (
|
||||
github.com/smartystreets/goconvey v1.8.1
|
||||
github.com/stretchr/testify v1.9.0
|
||||
golang.org/x/crypto v0.23.0
|
||||
golang.org/x/image v0.16.0
|
||||
golang.org/x/image v0.18.0
|
||||
gorm.io/driver/mysql v1.5.6
|
||||
gorm.io/driver/postgres v1.5.7
|
||||
gorm.io/driver/sqlite v1.5.5
|
||||
@@ -80,7 +80,7 @@ require (
|
||||
golang.org/x/net v0.25.0 // indirect
|
||||
golang.org/x/sync v0.7.0 // indirect
|
||||
golang.org/x/sys v0.20.0 // indirect
|
||||
golang.org/x/text v0.15.0 // indirect
|
||||
golang.org/x/text v0.16.0 // indirect
|
||||
google.golang.org/protobuf v1.34.1 // indirect
|
||||
gopkg.in/yaml.v3 v3.0.1 // indirect
|
||||
)
|
||||
|
||||
8
go.sum
8
go.sum
@@ -154,8 +154,8 @@ golang.org/x/arch v0.8.0 h1:3wRIsP3pM4yUptoR96otTUOXI367OS0+c9eeRi9doIc=
|
||||
golang.org/x/arch v0.8.0/go.mod h1:FEVrYAQjsQXMVJ1nsMoVVXPZg6p2JE2mx8psSWTDQys=
|
||||
golang.org/x/crypto v0.23.0 h1:dIJU/v2J8Mdglj/8rJ6UUOM3Zc9zLZxVZwwxMooUSAI=
|
||||
golang.org/x/crypto v0.23.0/go.mod h1:CKFgDieR+mRhux2Lsu27y0fO304Db0wZe70UKqHu0v8=
|
||||
golang.org/x/image v0.16.0 h1:9kloLAKhUufZhA12l5fwnx2NZW39/we1UhBesW433jw=
|
||||
golang.org/x/image v0.16.0/go.mod h1:ugSZItdV4nOxyqp56HmXwH0Ry0nBCpjnZdpDaIHdoPs=
|
||||
golang.org/x/image v0.18.0 h1:jGzIakQa/ZXI1I0Fxvaa9W7yP25TqT6cHIHn+6CqvSQ=
|
||||
golang.org/x/image v0.18.0/go.mod h1:4yyo5vMFQjVjUcVk4jEQcU9MGy/rulF5WvUILseCM2E=
|
||||
golang.org/x/net v0.25.0 h1:d/OCCoBEUq33pjydKrGQhw7IlUPI2Oylr+8qLx49kac=
|
||||
golang.org/x/net v0.25.0/go.mod h1:JkAGAh7GEvH74S6FOH42FLoXpXbE/aqXSrIQjXgsiwM=
|
||||
golang.org/x/sync v0.7.0 h1:YsImfSBoP9QPYL0xyKJPq0gcaJdG3rInoqxTWbfQu9M=
|
||||
@@ -164,8 +164,8 @@ golang.org/x/sys v0.5.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
|
||||
golang.org/x/sys v0.6.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
|
||||
golang.org/x/sys v0.20.0 h1:Od9JTbYCk261bKm4M/mw7AklTlFYIa0bIp9BgSm1S8Y=
|
||||
golang.org/x/sys v0.20.0/go.mod h1:/VUhepiaJMQUp4+oa/7Zr1D23ma6VTLIYjOOTFZPUcA=
|
||||
golang.org/x/text v0.15.0 h1:h1V/4gjBv8v9cjcR6+AR5+/cIYK5N/WAgiv4xlsEtAk=
|
||||
golang.org/x/text v0.15.0/go.mod h1:18ZOQIKpY8NJVqYksKHtTdi31H5itFRjB5/qKTNYzSU=
|
||||
golang.org/x/text v0.16.0 h1:a94ExnEXNtEwYLGJSIUxnWoxoRz/ZcCsV63ROupILh4=
|
||||
golang.org/x/text v0.16.0/go.mod h1:GhwF1Be+LQoKShO3cGOHzqOgRrGaYc9AvblQOmPVHnI=
|
||||
golang.org/x/xerrors v0.0.0-20200804184101-5ec99f83aff1 h1:go1bK/D/BFZV2I8cIQd1NKEZ+0owSTG1fDTci4IqFcE=
|
||||
google.golang.org/protobuf v1.34.1 h1:9ddQBjfCyZPOHPUiPxpYESBLc+T8P3E+Vo4IbKZgFWg=
|
||||
google.golang.org/protobuf v1.34.1/go.mod h1:c6P6GXX6sHbq/GpV6MGZEdwhWPcYBgnhAHhKbcUYpos=
|
||||
|
||||
@@ -4,6 +4,12 @@ import (
|
||||
"bufio"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"io"
|
||||
"net/http"
|
||||
"strconv"
|
||||
"strings"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/songquanpeng/one-api/common"
|
||||
"github.com/songquanpeng/one-api/common/helper"
|
||||
@@ -12,10 +18,6 @@ import (
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/openai"
|
||||
"github.com/songquanpeng/one-api/relay/constant"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
"io"
|
||||
"net/http"
|
||||
"strconv"
|
||||
"strings"
|
||||
)
|
||||
|
||||
// https://docs.aiproxy.io/dev/library#使用已经定制好的知识库进行对话问答
|
||||
@@ -89,6 +91,7 @@ func streamResponseAIProxyLibrary2OpenAI(response *LibraryStreamResponse) *opena
|
||||
|
||||
func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusCode, *model.Usage) {
|
||||
var usage model.Usage
|
||||
var documents []LibraryDocument
|
||||
scanner := bufio.NewScanner(resp.Body)
|
||||
scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
|
||||
if atEOF && len(data) == 0 {
|
||||
@@ -102,60 +105,48 @@ func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusC
|
||||
}
|
||||
return 0, nil, nil
|
||||
})
|
||||
dataChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
go func() {
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 5 { // ignore blank line or wrong format
|
||||
continue
|
||||
}
|
||||
if data[:5] != "data:" {
|
||||
continue
|
||||
}
|
||||
data = data[5:]
|
||||
dataChan <- data
|
||||
}
|
||||
stopChan <- true
|
||||
}()
|
||||
|
||||
common.SetEventStreamHeaders(c)
|
||||
var documents []LibraryDocument
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
|
||||
case data := <-dataChan:
|
||||
var AIProxyLibraryResponse LibraryStreamResponse
|
||||
err := json.Unmarshal([]byte(data), &AIProxyLibraryResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
if len(AIProxyLibraryResponse.Documents) != 0 {
|
||||
documents = AIProxyLibraryResponse.Documents
|
||||
}
|
||||
response := streamResponseAIProxyLibrary2OpenAI(&AIProxyLibraryResponse)
|
||||
jsonResponse, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
|
||||
return true
|
||||
case <-stopChan:
|
||||
response := documentsAIProxyLibrary(documents)
|
||||
jsonResponse, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
|
||||
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
|
||||
return false
|
||||
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 5 || data[:5] != "data:" {
|
||||
continue
|
||||
}
|
||||
})
|
||||
err := resp.Body.Close()
|
||||
data = data[5:]
|
||||
|
||||
var AIProxyLibraryResponse LibraryStreamResponse
|
||||
err := json.Unmarshal([]byte(data), &AIProxyLibraryResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
continue
|
||||
}
|
||||
if len(AIProxyLibraryResponse.Documents) != 0 {
|
||||
documents = AIProxyLibraryResponse.Documents
|
||||
}
|
||||
response := streamResponseAIProxyLibrary2OpenAI(&AIProxyLibraryResponse)
|
||||
err = render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError(err.Error())
|
||||
}
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
logger.SysError("error reading stream: " + err.Error())
|
||||
}
|
||||
|
||||
response := documentsAIProxyLibrary(documents)
|
||||
err := render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError(err.Error())
|
||||
}
|
||||
render.Done(c)
|
||||
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
|
||||
return nil, &usage
|
||||
}
|
||||
|
||||
|
||||
@@ -3,15 +3,17 @@ package ali
|
||||
import (
|
||||
"bufio"
|
||||
"encoding/json"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/songquanpeng/one-api/common"
|
||||
"github.com/songquanpeng/one-api/common/helper"
|
||||
"github.com/songquanpeng/one-api/common/logger"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/openai"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
)
|
||||
|
||||
// https://help.aliyun.com/document_detail/613695.html?spm=a2c4g.2399480.0.0.1adb778fAdzP9w#341800c0f8w0r
|
||||
@@ -181,56 +183,43 @@ func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusC
|
||||
}
|
||||
return 0, nil, nil
|
||||
})
|
||||
dataChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
go func() {
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 5 { // ignore blank line or wrong format
|
||||
continue
|
||||
}
|
||||
if data[:5] != "data:" {
|
||||
continue
|
||||
}
|
||||
data = data[5:]
|
||||
dataChan <- data
|
||||
}
|
||||
stopChan <- true
|
||||
}()
|
||||
|
||||
common.SetEventStreamHeaders(c)
|
||||
//lastResponseText := ""
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
|
||||
case data := <-dataChan:
|
||||
var aliResponse ChatResponse
|
||||
err := json.Unmarshal([]byte(data), &aliResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
if aliResponse.Usage.OutputTokens != 0 {
|
||||
usage.PromptTokens = aliResponse.Usage.InputTokens
|
||||
usage.CompletionTokens = aliResponse.Usage.OutputTokens
|
||||
usage.TotalTokens = aliResponse.Usage.InputTokens + aliResponse.Usage.OutputTokens
|
||||
}
|
||||
response := streamResponseAli2OpenAI(&aliResponse)
|
||||
if response == nil {
|
||||
return true
|
||||
}
|
||||
//response.Choices[0].Delta.Content = strings.TrimPrefix(response.Choices[0].Delta.Content, lastResponseText)
|
||||
//lastResponseText = aliResponse.Output.Text
|
||||
jsonResponse, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
|
||||
return true
|
||||
case <-stopChan:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
|
||||
return false
|
||||
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 5 || data[:5] != "data:" {
|
||||
continue
|
||||
}
|
||||
})
|
||||
data = data[5:]
|
||||
|
||||
var aliResponse ChatResponse
|
||||
err := json.Unmarshal([]byte(data), &aliResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
continue
|
||||
}
|
||||
if aliResponse.Usage.OutputTokens != 0 {
|
||||
usage.PromptTokens = aliResponse.Usage.InputTokens
|
||||
usage.CompletionTokens = aliResponse.Usage.OutputTokens
|
||||
usage.TotalTokens = aliResponse.Usage.InputTokens + aliResponse.Usage.OutputTokens
|
||||
}
|
||||
response := streamResponseAli2OpenAI(&aliResponse)
|
||||
if response == nil {
|
||||
continue
|
||||
}
|
||||
err = render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError(err.Error())
|
||||
}
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
logger.SysError("error reading stream: " + err.Error())
|
||||
}
|
||||
|
||||
render.Done(c)
|
||||
|
||||
err := resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
|
||||
@@ -5,4 +5,5 @@ var ModelList = []string{
|
||||
"claude-3-haiku-20240307",
|
||||
"claude-3-sonnet-20240229",
|
||||
"claude-3-opus-20240229",
|
||||
"claude-3-5-sonnet-20240620",
|
||||
}
|
||||
|
||||
@@ -4,6 +4,7 @@ import (
|
||||
"bufio"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
@@ -28,12 +29,30 @@ func stopReasonClaude2OpenAI(reason *string) string {
|
||||
return "stop"
|
||||
case "max_tokens":
|
||||
return "length"
|
||||
case "tool_use":
|
||||
return "tool_calls"
|
||||
default:
|
||||
return *reason
|
||||
}
|
||||
}
|
||||
|
||||
func ConvertRequest(textRequest model.GeneralOpenAIRequest) *Request {
|
||||
claudeTools := make([]Tool, 0, len(textRequest.Tools))
|
||||
|
||||
for _, tool := range textRequest.Tools {
|
||||
if params, ok := tool.Function.Parameters.(map[string]any); ok {
|
||||
claudeTools = append(claudeTools, Tool{
|
||||
Name: tool.Function.Name,
|
||||
Description: tool.Function.Description,
|
||||
InputSchema: InputSchema{
|
||||
Type: params["type"].(string),
|
||||
Properties: params["properties"],
|
||||
Required: params["required"],
|
||||
},
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
claudeRequest := Request{
|
||||
Model: textRequest.Model,
|
||||
MaxTokens: textRequest.MaxTokens,
|
||||
@@ -41,6 +60,24 @@ func ConvertRequest(textRequest model.GeneralOpenAIRequest) *Request {
|
||||
TopP: textRequest.TopP,
|
||||
TopK: textRequest.TopK,
|
||||
Stream: textRequest.Stream,
|
||||
Tools: claudeTools,
|
||||
}
|
||||
if len(claudeTools) > 0 {
|
||||
claudeToolChoice := struct {
|
||||
Type string `json:"type"`
|
||||
Name string `json:"name,omitempty"`
|
||||
}{Type: "auto"} // default value https://docs.anthropic.com/en/docs/build-with-claude/tool-use#controlling-claudes-output
|
||||
if choice, ok := textRequest.ToolChoice.(map[string]any); ok {
|
||||
if function, ok := choice["function"].(map[string]any); ok {
|
||||
claudeToolChoice.Type = "tool"
|
||||
claudeToolChoice.Name = function["name"].(string)
|
||||
}
|
||||
} else if toolChoiceType, ok := textRequest.ToolChoice.(string); ok {
|
||||
if toolChoiceType == "any" {
|
||||
claudeToolChoice.Type = toolChoiceType
|
||||
}
|
||||
}
|
||||
claudeRequest.ToolChoice = claudeToolChoice
|
||||
}
|
||||
if claudeRequest.MaxTokens == 0 {
|
||||
claudeRequest.MaxTokens = 4096
|
||||
@@ -63,7 +100,24 @@ func ConvertRequest(textRequest model.GeneralOpenAIRequest) *Request {
|
||||
if message.IsStringContent() {
|
||||
content.Type = "text"
|
||||
content.Text = message.StringContent()
|
||||
if message.Role == "tool" {
|
||||
claudeMessage.Role = "user"
|
||||
content.Type = "tool_result"
|
||||
content.Content = content.Text
|
||||
content.Text = ""
|
||||
content.ToolUseId = message.ToolCallId
|
||||
}
|
||||
claudeMessage.Content = append(claudeMessage.Content, content)
|
||||
for i := range message.ToolCalls {
|
||||
inputParam := make(map[string]any)
|
||||
_ = json.Unmarshal([]byte(message.ToolCalls[i].Function.Arguments.(string)), &inputParam)
|
||||
claudeMessage.Content = append(claudeMessage.Content, Content{
|
||||
Type: "tool_use",
|
||||
Id: message.ToolCalls[i].Id,
|
||||
Name: message.ToolCalls[i].Function.Name,
|
||||
Input: inputParam,
|
||||
})
|
||||
}
|
||||
claudeRequest.Messages = append(claudeRequest.Messages, claudeMessage)
|
||||
continue
|
||||
}
|
||||
@@ -96,16 +150,35 @@ func StreamResponseClaude2OpenAI(claudeResponse *StreamResponse) (*openai.ChatCo
|
||||
var response *Response
|
||||
var responseText string
|
||||
var stopReason string
|
||||
tools := make([]model.Tool, 0)
|
||||
|
||||
switch claudeResponse.Type {
|
||||
case "message_start":
|
||||
return nil, claudeResponse.Message
|
||||
case "content_block_start":
|
||||
if claudeResponse.ContentBlock != nil {
|
||||
responseText = claudeResponse.ContentBlock.Text
|
||||
if claudeResponse.ContentBlock.Type == "tool_use" {
|
||||
tools = append(tools, model.Tool{
|
||||
Id: claudeResponse.ContentBlock.Id,
|
||||
Type: "function",
|
||||
Function: model.Function{
|
||||
Name: claudeResponse.ContentBlock.Name,
|
||||
Arguments: "",
|
||||
},
|
||||
})
|
||||
}
|
||||
}
|
||||
case "content_block_delta":
|
||||
if claudeResponse.Delta != nil {
|
||||
responseText = claudeResponse.Delta.Text
|
||||
if claudeResponse.Delta.Type == "input_json_delta" {
|
||||
tools = append(tools, model.Tool{
|
||||
Function: model.Function{
|
||||
Arguments: claudeResponse.Delta.PartialJson,
|
||||
},
|
||||
})
|
||||
}
|
||||
}
|
||||
case "message_delta":
|
||||
if claudeResponse.Usage != nil {
|
||||
@@ -119,6 +192,10 @@ func StreamResponseClaude2OpenAI(claudeResponse *StreamResponse) (*openai.ChatCo
|
||||
}
|
||||
var choice openai.ChatCompletionsStreamResponseChoice
|
||||
choice.Delta.Content = responseText
|
||||
if len(tools) > 0 {
|
||||
choice.Delta.Content = nil // compatible with other OpenAI derivative applications, like LobeOpenAICompatibleFactory ...
|
||||
choice.Delta.ToolCalls = tools
|
||||
}
|
||||
choice.Delta.Role = "assistant"
|
||||
finishReason := stopReasonClaude2OpenAI(&stopReason)
|
||||
if finishReason != "null" {
|
||||
@@ -135,12 +212,27 @@ func ResponseClaude2OpenAI(claudeResponse *Response) *openai.TextResponse {
|
||||
if len(claudeResponse.Content) > 0 {
|
||||
responseText = claudeResponse.Content[0].Text
|
||||
}
|
||||
tools := make([]model.Tool, 0)
|
||||
for _, v := range claudeResponse.Content {
|
||||
if v.Type == "tool_use" {
|
||||
args, _ := json.Marshal(v.Input)
|
||||
tools = append(tools, model.Tool{
|
||||
Id: v.Id,
|
||||
Type: "function", // compatible with other OpenAI derivative applications
|
||||
Function: model.Function{
|
||||
Name: v.Name,
|
||||
Arguments: string(args),
|
||||
},
|
||||
})
|
||||
}
|
||||
}
|
||||
choice := openai.TextResponseChoice{
|
||||
Index: 0,
|
||||
Message: model.Message{
|
||||
Role: "assistant",
|
||||
Content: responseText,
|
||||
Name: nil,
|
||||
Role: "assistant",
|
||||
Content: responseText,
|
||||
Name: nil,
|
||||
ToolCalls: tools,
|
||||
},
|
||||
FinishReason: stopReasonClaude2OpenAI(claudeResponse.StopReason),
|
||||
}
|
||||
@@ -169,64 +261,77 @@ func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusC
|
||||
}
|
||||
return 0, nil, nil
|
||||
})
|
||||
dataChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
go func() {
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 6 {
|
||||
continue
|
||||
}
|
||||
if !strings.HasPrefix(data, "data:") {
|
||||
continue
|
||||
}
|
||||
data = strings.TrimPrefix(data, "data:")
|
||||
dataChan <- data
|
||||
}
|
||||
stopChan <- true
|
||||
}()
|
||||
|
||||
common.SetEventStreamHeaders(c)
|
||||
|
||||
var usage model.Usage
|
||||
var modelName string
|
||||
var id string
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
|
||||
case data := <-dataChan:
|
||||
// some implementations may add \r at the end of data
|
||||
data = strings.TrimSpace(data)
|
||||
var claudeResponse StreamResponse
|
||||
err := json.Unmarshal([]byte(data), &claudeResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
response, meta := StreamResponseClaude2OpenAI(&claudeResponse)
|
||||
if meta != nil {
|
||||
usage.PromptTokens += meta.Usage.InputTokens
|
||||
usage.CompletionTokens += meta.Usage.OutputTokens
|
||||
var lastToolCallChoice openai.ChatCompletionsStreamResponseChoice
|
||||
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 6 || !strings.HasPrefix(data, "data:") {
|
||||
continue
|
||||
}
|
||||
data = strings.TrimPrefix(data, "data:")
|
||||
data = strings.TrimSpace(data)
|
||||
|
||||
var claudeResponse StreamResponse
|
||||
err := json.Unmarshal([]byte(data), &claudeResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
continue
|
||||
}
|
||||
|
||||
response, meta := StreamResponseClaude2OpenAI(&claudeResponse)
|
||||
if meta != nil {
|
||||
usage.PromptTokens += meta.Usage.InputTokens
|
||||
usage.CompletionTokens += meta.Usage.OutputTokens
|
||||
if len(meta.Id) > 0 { // only message_start has an id, otherwise it's a finish_reason event.
|
||||
modelName = meta.Model
|
||||
id = fmt.Sprintf("chatcmpl-%s", meta.Id)
|
||||
return true
|
||||
continue
|
||||
} else { // finish_reason case
|
||||
if len(lastToolCallChoice.Delta.ToolCalls) > 0 {
|
||||
lastArgs := &lastToolCallChoice.Delta.ToolCalls[len(lastToolCallChoice.Delta.ToolCalls)-1].Function
|
||||
if len(lastArgs.Arguments.(string)) == 0 { // compatible with OpenAI sending an empty object `{}` when no arguments.
|
||||
lastArgs.Arguments = "{}"
|
||||
response.Choices[len(response.Choices)-1].Delta.Content = nil
|
||||
response.Choices[len(response.Choices)-1].Delta.ToolCalls = lastToolCallChoice.Delta.ToolCalls
|
||||
}
|
||||
}
|
||||
}
|
||||
if response == nil {
|
||||
return true
|
||||
}
|
||||
response.Id = id
|
||||
response.Model = modelName
|
||||
response.Created = createdTime
|
||||
jsonStr, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonStr)})
|
||||
return true
|
||||
case <-stopChan:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
|
||||
return false
|
||||
}
|
||||
})
|
||||
_ = resp.Body.Close()
|
||||
if response == nil {
|
||||
continue
|
||||
}
|
||||
|
||||
response.Id = id
|
||||
response.Model = modelName
|
||||
response.Created = createdTime
|
||||
|
||||
for _, choice := range response.Choices {
|
||||
if len(choice.Delta.ToolCalls) > 0 {
|
||||
lastToolCallChoice = choice
|
||||
}
|
||||
}
|
||||
err = render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError(err.Error())
|
||||
}
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
logger.SysError("error reading stream: " + err.Error())
|
||||
}
|
||||
|
||||
render.Done(c)
|
||||
|
||||
err := resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
return nil, &usage
|
||||
}
|
||||
|
||||
|
||||
@@ -16,6 +16,12 @@ type Content struct {
|
||||
Type string `json:"type"`
|
||||
Text string `json:"text,omitempty"`
|
||||
Source *ImageSource `json:"source,omitempty"`
|
||||
// tool_calls
|
||||
Id string `json:"id,omitempty"`
|
||||
Name string `json:"name,omitempty"`
|
||||
Input any `json:"input,omitempty"`
|
||||
Content string `json:"content,omitempty"`
|
||||
ToolUseId string `json:"tool_use_id,omitempty"`
|
||||
}
|
||||
|
||||
type Message struct {
|
||||
@@ -23,6 +29,18 @@ type Message struct {
|
||||
Content []Content `json:"content"`
|
||||
}
|
||||
|
||||
type Tool struct {
|
||||
Name string `json:"name"`
|
||||
Description string `json:"description,omitempty"`
|
||||
InputSchema InputSchema `json:"input_schema"`
|
||||
}
|
||||
|
||||
type InputSchema struct {
|
||||
Type string `json:"type"`
|
||||
Properties any `json:"properties,omitempty"`
|
||||
Required any `json:"required,omitempty"`
|
||||
}
|
||||
|
||||
type Request struct {
|
||||
Model string `json:"model"`
|
||||
Messages []Message `json:"messages"`
|
||||
@@ -33,6 +51,8 @@ type Request struct {
|
||||
Temperature float64 `json:"temperature,omitempty"`
|
||||
TopP float64 `json:"top_p,omitempty"`
|
||||
TopK int `json:"top_k,omitempty"`
|
||||
Tools []Tool `json:"tools,omitempty"`
|
||||
ToolChoice any `json:"tool_choice,omitempty"`
|
||||
//Metadata `json:"metadata,omitempty"`
|
||||
}
|
||||
|
||||
@@ -61,6 +81,7 @@ type Response struct {
|
||||
type Delta struct {
|
||||
Type string `json:"type"`
|
||||
Text string `json:"text"`
|
||||
PartialJson string `json:"partial_json,omitempty"`
|
||||
StopReason *string `json:"stop_reason"`
|
||||
StopSequence *string `json:"stop_sequence"`
|
||||
}
|
||||
|
||||
@@ -6,6 +6,7 @@ import (
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/songquanpeng/one-api/common/ctxkey"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/openai"
|
||||
"io"
|
||||
"net/http"
|
||||
|
||||
@@ -33,12 +34,13 @@ func wrapErr(err error) *relaymodel.ErrorWithStatusCode {
|
||||
|
||||
// https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html
|
||||
var awsModelIDMap = map[string]string{
|
||||
"claude-instant-1.2": "anthropic.claude-instant-v1",
|
||||
"claude-2.0": "anthropic.claude-v2",
|
||||
"claude-2.1": "anthropic.claude-v2:1",
|
||||
"claude-3-sonnet-20240229": "anthropic.claude-3-sonnet-20240229-v1:0",
|
||||
"claude-3-opus-20240229": "anthropic.claude-3-opus-20240229-v1:0",
|
||||
"claude-3-haiku-20240307": "anthropic.claude-3-haiku-20240307-v1:0",
|
||||
"claude-instant-1.2": "anthropic.claude-instant-v1",
|
||||
"claude-2.0": "anthropic.claude-v2",
|
||||
"claude-2.1": "anthropic.claude-v2:1",
|
||||
"claude-3-sonnet-20240229": "anthropic.claude-3-sonnet-20240229-v1:0",
|
||||
"claude-3-5-sonnet-20240620": "anthropic.claude-3-5-sonnet-20240620-v1:0",
|
||||
"claude-3-opus-20240229": "anthropic.claude-3-opus-20240229-v1:0",
|
||||
"claude-3-haiku-20240307": "anthropic.claude-3-haiku-20240307-v1:0",
|
||||
}
|
||||
|
||||
func awsModelID(requestModel string) (string, error) {
|
||||
@@ -142,6 +144,8 @@ func StreamHandler(c *gin.Context, awsCli *bedrockruntime.Client) (*relaymodel.E
|
||||
c.Writer.Header().Set("Content-Type", "text/event-stream")
|
||||
var usage relaymodel.Usage
|
||||
var id string
|
||||
var lastToolCallChoice openai.ChatCompletionsStreamResponseChoice
|
||||
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
event, ok := <-stream.Events()
|
||||
if !ok {
|
||||
@@ -162,8 +166,19 @@ func StreamHandler(c *gin.Context, awsCli *bedrockruntime.Client) (*relaymodel.E
|
||||
if meta != nil {
|
||||
usage.PromptTokens += meta.Usage.InputTokens
|
||||
usage.CompletionTokens += meta.Usage.OutputTokens
|
||||
id = fmt.Sprintf("chatcmpl-%s", meta.Id)
|
||||
return true
|
||||
if len(meta.Id) > 0 { // only message_start has an id, otherwise it's a finish_reason event.
|
||||
id = fmt.Sprintf("chatcmpl-%s", meta.Id)
|
||||
return true
|
||||
} else { // finish_reason case
|
||||
if len(lastToolCallChoice.Delta.ToolCalls) > 0 {
|
||||
lastArgs := &lastToolCallChoice.Delta.ToolCalls[len(lastToolCallChoice.Delta.ToolCalls)-1].Function
|
||||
if len(lastArgs.Arguments.(string)) == 0 { // compatible with OpenAI sending an empty object `{}` when no arguments.
|
||||
lastArgs.Arguments = "{}"
|
||||
response.Choices[len(response.Choices)-1].Delta.Content = nil
|
||||
response.Choices[len(response.Choices)-1].Delta.ToolCalls = lastToolCallChoice.Delta.ToolCalls
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
if response == nil {
|
||||
return true
|
||||
@@ -171,6 +186,12 @@ func StreamHandler(c *gin.Context, awsCli *bedrockruntime.Client) (*relaymodel.E
|
||||
response.Id = id
|
||||
response.Model = c.GetString(ctxkey.OriginalModel)
|
||||
response.Created = createdTime
|
||||
|
||||
for _, choice := range response.Choices {
|
||||
if len(choice.Delta.ToolCalls) > 0 {
|
||||
lastToolCallChoice = choice
|
||||
}
|
||||
}
|
||||
jsonStr, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
|
||||
@@ -9,9 +9,12 @@ type Request struct {
|
||||
// AnthropicVersion should be "bedrock-2023-05-31"
|
||||
AnthropicVersion string `json:"anthropic_version"`
|
||||
Messages []anthropic.Message `json:"messages"`
|
||||
System string `json:"system,omitempty"`
|
||||
MaxTokens int `json:"max_tokens,omitempty"`
|
||||
Temperature float64 `json:"temperature,omitempty"`
|
||||
TopP float64 `json:"top_p,omitempty"`
|
||||
TopK int `json:"top_k,omitempty"`
|
||||
StopSequences []string `json:"stop_sequences,omitempty"`
|
||||
Tools []anthropic.Tool `json:"tools,omitempty"`
|
||||
ToolChoice any `json:"tool_choice,omitempty"`
|
||||
}
|
||||
|
||||
@@ -5,6 +5,13 @@ import (
|
||||
"encoding/json"
|
||||
"errors"
|
||||
"fmt"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
"sync"
|
||||
"time"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/songquanpeng/one-api/common"
|
||||
"github.com/songquanpeng/one-api/common/client"
|
||||
@@ -12,11 +19,6 @@ import (
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/openai"
|
||||
"github.com/songquanpeng/one-api/relay/constant"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
"sync"
|
||||
"time"
|
||||
)
|
||||
|
||||
// https://cloud.baidu.com/doc/WENXINWORKSHOP/s/flfmc9do2
|
||||
@@ -137,59 +139,41 @@ func embeddingResponseBaidu2OpenAI(response *EmbeddingResponse) *openai.Embeddin
|
||||
func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusCode, *model.Usage) {
|
||||
var usage model.Usage
|
||||
scanner := bufio.NewScanner(resp.Body)
|
||||
scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
|
||||
if atEOF && len(data) == 0 {
|
||||
return 0, nil, nil
|
||||
}
|
||||
if i := strings.Index(string(data), "\n"); i >= 0 {
|
||||
return i + 1, data[0:i], nil
|
||||
}
|
||||
if atEOF {
|
||||
return len(data), data, nil
|
||||
}
|
||||
return 0, nil, nil
|
||||
})
|
||||
dataChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
go func() {
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 6 { // ignore blank line or wrong format
|
||||
continue
|
||||
}
|
||||
data = data[6:]
|
||||
dataChan <- data
|
||||
}
|
||||
stopChan <- true
|
||||
}()
|
||||
scanner.Split(bufio.ScanLines)
|
||||
|
||||
common.SetEventStreamHeaders(c)
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
|
||||
case data := <-dataChan:
|
||||
var baiduResponse ChatStreamResponse
|
||||
err := json.Unmarshal([]byte(data), &baiduResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
if baiduResponse.Usage.TotalTokens != 0 {
|
||||
usage.TotalTokens = baiduResponse.Usage.TotalTokens
|
||||
usage.PromptTokens = baiduResponse.Usage.PromptTokens
|
||||
usage.CompletionTokens = baiduResponse.Usage.TotalTokens - baiduResponse.Usage.PromptTokens
|
||||
}
|
||||
response := streamResponseBaidu2OpenAI(&baiduResponse)
|
||||
jsonResponse, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
|
||||
return true
|
||||
case <-stopChan:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
|
||||
return false
|
||||
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 6 {
|
||||
continue
|
||||
}
|
||||
})
|
||||
data = data[6:]
|
||||
|
||||
var baiduResponse ChatStreamResponse
|
||||
err := json.Unmarshal([]byte(data), &baiduResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
continue
|
||||
}
|
||||
if baiduResponse.Usage.TotalTokens != 0 {
|
||||
usage.TotalTokens = baiduResponse.Usage.TotalTokens
|
||||
usage.PromptTokens = baiduResponse.Usage.PromptTokens
|
||||
usage.CompletionTokens = baiduResponse.Usage.TotalTokens - baiduResponse.Usage.PromptTokens
|
||||
}
|
||||
response := streamResponseBaidu2OpenAI(&baiduResponse)
|
||||
err = render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError(err.Error())
|
||||
}
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
logger.SysError("error reading stream: " + err.Error())
|
||||
}
|
||||
|
||||
render.Done(c)
|
||||
|
||||
err := resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
|
||||
@@ -2,8 +2,8 @@ package cloudflare
|
||||
|
||||
import (
|
||||
"bufio"
|
||||
"bytes"
|
||||
"encoding/json"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
@@ -17,21 +17,20 @@ import (
|
||||
)
|
||||
|
||||
func ConvertRequest(textRequest model.GeneralOpenAIRequest) *Request {
|
||||
var promptBuilder strings.Builder
|
||||
for _, message := range textRequest.Messages {
|
||||
promptBuilder.WriteString(message.StringContent())
|
||||
promptBuilder.WriteString("\n") // 添加换行符来分隔每个消息
|
||||
}
|
||||
var promptBuilder strings.Builder
|
||||
for _, message := range textRequest.Messages {
|
||||
promptBuilder.WriteString(message.StringContent())
|
||||
promptBuilder.WriteString("\n") // 添加换行符来分隔每个消息
|
||||
}
|
||||
|
||||
return &Request{
|
||||
MaxTokens: textRequest.MaxTokens,
|
||||
Prompt: promptBuilder.String(),
|
||||
Stream: textRequest.Stream,
|
||||
Temperature: textRequest.Temperature,
|
||||
}
|
||||
return &Request{
|
||||
MaxTokens: textRequest.MaxTokens,
|
||||
Prompt: promptBuilder.String(),
|
||||
Stream: textRequest.Stream,
|
||||
Temperature: textRequest.Temperature,
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
func ResponseCloudflare2OpenAI(cloudflareResponse *Response) *openai.TextResponse {
|
||||
choice := openai.TextResponseChoice{
|
||||
Index: 0,
|
||||
@@ -63,67 +62,54 @@ func StreamResponseCloudflare2OpenAI(cloudflareResponse *StreamResponse) *openai
|
||||
|
||||
func StreamHandler(c *gin.Context, resp *http.Response, promptTokens int, modelName string) (*model.ErrorWithStatusCode, *model.Usage) {
|
||||
scanner := bufio.NewScanner(resp.Body)
|
||||
scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
|
||||
if atEOF && len(data) == 0 {
|
||||
return 0, nil, nil
|
||||
}
|
||||
if i := bytes.IndexByte(data, '\n'); i >= 0 {
|
||||
return i + 1, data[0:i], nil
|
||||
}
|
||||
if atEOF {
|
||||
return len(data), data, nil
|
||||
}
|
||||
return 0, nil, nil
|
||||
})
|
||||
scanner.Split(bufio.ScanLines)
|
||||
|
||||
dataChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
go func() {
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < len("data: ") {
|
||||
continue
|
||||
}
|
||||
data = strings.TrimPrefix(data, "data: ")
|
||||
dataChan <- data
|
||||
}
|
||||
stopChan <- true
|
||||
}()
|
||||
common.SetEventStreamHeaders(c)
|
||||
id := helper.GetResponseID(c)
|
||||
responseModel := c.GetString("original_model")
|
||||
var responseText string
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
|
||||
case data := <-dataChan:
|
||||
// some implementations may add \r at the end of data
|
||||
data = strings.TrimSuffix(data, "\r")
|
||||
var cloudflareResponse StreamResponse
|
||||
err := json.Unmarshal([]byte(data), &cloudflareResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
response := StreamResponseCloudflare2OpenAI(&cloudflareResponse)
|
||||
if response == nil {
|
||||
return true
|
||||
}
|
||||
responseText += cloudflareResponse.Response
|
||||
response.Id = id
|
||||
response.Model = responseModel
|
||||
jsonStr, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonStr)})
|
||||
return true
|
||||
case <-stopChan:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
|
||||
return false
|
||||
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < len("data: ") {
|
||||
continue
|
||||
}
|
||||
})
|
||||
_ = resp.Body.Close()
|
||||
data = strings.TrimPrefix(data, "data: ")
|
||||
data = strings.TrimSuffix(data, "\r")
|
||||
|
||||
var cloudflareResponse StreamResponse
|
||||
err := json.Unmarshal([]byte(data), &cloudflareResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
continue
|
||||
}
|
||||
|
||||
response := StreamResponseCloudflare2OpenAI(&cloudflareResponse)
|
||||
if response == nil {
|
||||
continue
|
||||
}
|
||||
|
||||
responseText += cloudflareResponse.Response
|
||||
response.Id = id
|
||||
response.Model = responseModel
|
||||
|
||||
err = render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError(err.Error())
|
||||
}
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
logger.SysError("error reading stream: " + err.Error())
|
||||
}
|
||||
|
||||
render.Done(c)
|
||||
|
||||
err := resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
|
||||
usage := openai.ResponseText2Usage(responseText, responseModel, promptTokens)
|
||||
return nil, usage
|
||||
}
|
||||
|
||||
@@ -2,9 +2,9 @@ package cohere
|
||||
|
||||
import (
|
||||
"bufio"
|
||||
"bytes"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
@@ -134,66 +134,53 @@ func ResponseCohere2OpenAI(cohereResponse *Response) *openai.TextResponse {
|
||||
func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusCode, *model.Usage) {
|
||||
createdTime := helper.GetTimestamp()
|
||||
scanner := bufio.NewScanner(resp.Body)
|
||||
scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
|
||||
if atEOF && len(data) == 0 {
|
||||
return 0, nil, nil
|
||||
}
|
||||
if i := bytes.IndexByte(data, '\n'); i >= 0 {
|
||||
return i + 1, data[0:i], nil
|
||||
}
|
||||
if atEOF {
|
||||
return len(data), data, nil
|
||||
}
|
||||
return 0, nil, nil
|
||||
})
|
||||
scanner.Split(bufio.ScanLines)
|
||||
|
||||
dataChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
go func() {
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
dataChan <- data
|
||||
}
|
||||
stopChan <- true
|
||||
}()
|
||||
common.SetEventStreamHeaders(c)
|
||||
var usage model.Usage
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
|
||||
case data := <-dataChan:
|
||||
// some implementations may add \r at the end of data
|
||||
data = strings.TrimSuffix(data, "\r")
|
||||
var cohereResponse StreamResponse
|
||||
err := json.Unmarshal([]byte(data), &cohereResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
response, meta := StreamResponseCohere2OpenAI(&cohereResponse)
|
||||
if meta != nil {
|
||||
usage.PromptTokens += meta.Meta.Tokens.InputTokens
|
||||
usage.CompletionTokens += meta.Meta.Tokens.OutputTokens
|
||||
return true
|
||||
}
|
||||
if response == nil {
|
||||
return true
|
||||
}
|
||||
response.Id = fmt.Sprintf("chatcmpl-%d", createdTime)
|
||||
response.Model = c.GetString("original_model")
|
||||
response.Created = createdTime
|
||||
jsonStr, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonStr)})
|
||||
return true
|
||||
case <-stopChan:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
|
||||
return false
|
||||
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
data = strings.TrimSuffix(data, "\r")
|
||||
|
||||
var cohereResponse StreamResponse
|
||||
err := json.Unmarshal([]byte(data), &cohereResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
continue
|
||||
}
|
||||
})
|
||||
_ = resp.Body.Close()
|
||||
|
||||
response, meta := StreamResponseCohere2OpenAI(&cohereResponse)
|
||||
if meta != nil {
|
||||
usage.PromptTokens += meta.Meta.Tokens.InputTokens
|
||||
usage.CompletionTokens += meta.Meta.Tokens.OutputTokens
|
||||
continue
|
||||
}
|
||||
if response == nil {
|
||||
continue
|
||||
}
|
||||
|
||||
response.Id = fmt.Sprintf("chatcmpl-%d", createdTime)
|
||||
response.Model = c.GetString("original_model")
|
||||
response.Created = createdTime
|
||||
|
||||
err = render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError(err.Error())
|
||||
}
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
logger.SysError("error reading stream: " + err.Error())
|
||||
}
|
||||
|
||||
render.Done(c)
|
||||
|
||||
err := resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
|
||||
return nil, &usage
|
||||
}
|
||||
|
||||
|
||||
@@ -4,6 +4,11 @@ import (
|
||||
"bufio"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/songquanpeng/one-api/common"
|
||||
"github.com/songquanpeng/one-api/common/conv"
|
||||
@@ -12,9 +17,6 @@ import (
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/coze/constant/messagetype"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/openai"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
)
|
||||
|
||||
// https://www.coze.com/open
|
||||
@@ -109,69 +111,54 @@ func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusC
|
||||
var responseText string
|
||||
createdTime := helper.GetTimestamp()
|
||||
scanner := bufio.NewScanner(resp.Body)
|
||||
scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
|
||||
if atEOF && len(data) == 0 {
|
||||
return 0, nil, nil
|
||||
}
|
||||
if i := strings.Index(string(data), "\n"); i >= 0 {
|
||||
return i + 1, data[0:i], nil
|
||||
}
|
||||
if atEOF {
|
||||
return len(data), data, nil
|
||||
}
|
||||
return 0, nil, nil
|
||||
})
|
||||
dataChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
go func() {
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 5 {
|
||||
continue
|
||||
}
|
||||
if !strings.HasPrefix(data, "data:") {
|
||||
continue
|
||||
}
|
||||
data = strings.TrimPrefix(data, "data:")
|
||||
dataChan <- data
|
||||
}
|
||||
stopChan <- true
|
||||
}()
|
||||
scanner.Split(bufio.ScanLines)
|
||||
|
||||
common.SetEventStreamHeaders(c)
|
||||
var modelName string
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
|
||||
case data := <-dataChan:
|
||||
// some implementations may add \r at the end of data
|
||||
data = strings.TrimSuffix(data, "\r")
|
||||
var cozeResponse StreamResponse
|
||||
err := json.Unmarshal([]byte(data), &cozeResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
response, _ := StreamResponseCoze2OpenAI(&cozeResponse)
|
||||
if response == nil {
|
||||
return true
|
||||
}
|
||||
for _, choice := range response.Choices {
|
||||
responseText += conv.AsString(choice.Delta.Content)
|
||||
}
|
||||
response.Model = modelName
|
||||
response.Created = createdTime
|
||||
jsonStr, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonStr)})
|
||||
return true
|
||||
case <-stopChan:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
|
||||
return false
|
||||
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 5 || !strings.HasPrefix(data, "data:") {
|
||||
continue
|
||||
}
|
||||
})
|
||||
_ = resp.Body.Close()
|
||||
data = strings.TrimPrefix(data, "data:")
|
||||
data = strings.TrimSuffix(data, "\r")
|
||||
|
||||
var cozeResponse StreamResponse
|
||||
err := json.Unmarshal([]byte(data), &cozeResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
continue
|
||||
}
|
||||
|
||||
response, _ := StreamResponseCoze2OpenAI(&cozeResponse)
|
||||
if response == nil {
|
||||
continue
|
||||
}
|
||||
|
||||
for _, choice := range response.Choices {
|
||||
responseText += conv.AsString(choice.Delta.Content)
|
||||
}
|
||||
response.Model = modelName
|
||||
response.Created = createdTime
|
||||
|
||||
err = render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError(err.Error())
|
||||
}
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
logger.SysError("error reading stream: " + err.Error())
|
||||
}
|
||||
|
||||
render.Done(c)
|
||||
|
||||
err := resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
|
||||
return nil, &responseText
|
||||
}
|
||||
|
||||
|
||||
@@ -4,6 +4,7 @@ import (
|
||||
"bufio"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
@@ -275,64 +276,50 @@ func embeddingResponseGemini2OpenAI(response *EmbeddingResponse) *openai.Embeddi
|
||||
func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusCode, string) {
|
||||
responseText := ""
|
||||
scanner := bufio.NewScanner(resp.Body)
|
||||
scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
|
||||
if atEOF && len(data) == 0 {
|
||||
return 0, nil, nil
|
||||
}
|
||||
if i := strings.Index(string(data), "\n"); i >= 0 {
|
||||
return i + 1, data[0:i], nil
|
||||
}
|
||||
if atEOF {
|
||||
return len(data), data, nil
|
||||
}
|
||||
return 0, nil, nil
|
||||
})
|
||||
dataChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
go func() {
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
data = strings.TrimSpace(data)
|
||||
if !strings.HasPrefix(data, "data: ") {
|
||||
continue
|
||||
}
|
||||
data = strings.TrimPrefix(data, "data: ")
|
||||
data = strings.TrimSuffix(data, "\"")
|
||||
dataChan <- data
|
||||
}
|
||||
stopChan <- true
|
||||
}()
|
||||
scanner.Split(bufio.ScanLines)
|
||||
|
||||
common.SetEventStreamHeaders(c)
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
|
||||
case data := <-dataChan:
|
||||
var geminiResponse ChatResponse
|
||||
err := json.Unmarshal([]byte(data), &geminiResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
response := streamResponseGeminiChat2OpenAI(&geminiResponse)
|
||||
if response == nil {
|
||||
return true
|
||||
}
|
||||
responseText += response.Choices[0].Delta.StringContent()
|
||||
jsonResponse, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
|
||||
return true
|
||||
case <-stopChan:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
|
||||
return false
|
||||
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
data = strings.TrimSpace(data)
|
||||
if !strings.HasPrefix(data, "data: ") {
|
||||
continue
|
||||
}
|
||||
})
|
||||
data = strings.TrimPrefix(data, "data: ")
|
||||
data = strings.TrimSuffix(data, "\"")
|
||||
|
||||
var geminiResponse ChatResponse
|
||||
err := json.Unmarshal([]byte(data), &geminiResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
continue
|
||||
}
|
||||
|
||||
response := streamResponseGeminiChat2OpenAI(&geminiResponse)
|
||||
if response == nil {
|
||||
continue
|
||||
}
|
||||
|
||||
responseText += response.Choices[0].Delta.StringContent()
|
||||
|
||||
err = render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError(err.Error())
|
||||
}
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
logger.SysError("error reading stream: " + err.Error())
|
||||
}
|
||||
|
||||
render.Done(c)
|
||||
|
||||
err := resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
|
||||
}
|
||||
|
||||
return nil, responseText
|
||||
}
|
||||
|
||||
|
||||
@@ -5,12 +5,14 @@ import (
|
||||
"context"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/songquanpeng/one-api/common/helper"
|
||||
"github.com/songquanpeng/one-api/common/random"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
|
||||
"github.com/songquanpeng/one-api/common/helper"
|
||||
"github.com/songquanpeng/one-api/common/random"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/songquanpeng/one-api/common"
|
||||
"github.com/songquanpeng/one-api/common/image"
|
||||
@@ -105,54 +107,51 @@ func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusC
|
||||
return 0, nil, nil
|
||||
}
|
||||
if i := strings.Index(string(data), "}\n"); i >= 0 {
|
||||
return i + 2, data[0:i], nil
|
||||
return i + 2, data[0 : i+1], nil
|
||||
}
|
||||
if atEOF {
|
||||
return len(data), data, nil
|
||||
}
|
||||
return 0, nil, nil
|
||||
})
|
||||
dataChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
go func() {
|
||||
for scanner.Scan() {
|
||||
data := strings.TrimPrefix(scanner.Text(), "}")
|
||||
dataChan <- data + "}"
|
||||
}
|
||||
stopChan <- true
|
||||
}()
|
||||
|
||||
common.SetEventStreamHeaders(c)
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
|
||||
case data := <-dataChan:
|
||||
var ollamaResponse ChatResponse
|
||||
err := json.Unmarshal([]byte(data), &ollamaResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
if ollamaResponse.EvalCount != 0 {
|
||||
usage.PromptTokens = ollamaResponse.PromptEvalCount
|
||||
usage.CompletionTokens = ollamaResponse.EvalCount
|
||||
usage.TotalTokens = ollamaResponse.PromptEvalCount + ollamaResponse.EvalCount
|
||||
}
|
||||
response := streamResponseOllama2OpenAI(&ollamaResponse)
|
||||
jsonResponse, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
|
||||
return true
|
||||
case <-stopChan:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
|
||||
return false
|
||||
|
||||
for scanner.Scan() {
|
||||
data := strings.TrimPrefix(scanner.Text(), "}")
|
||||
data = data + "}"
|
||||
|
||||
var ollamaResponse ChatResponse
|
||||
err := json.Unmarshal([]byte(data), &ollamaResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
continue
|
||||
}
|
||||
})
|
||||
|
||||
if ollamaResponse.EvalCount != 0 {
|
||||
usage.PromptTokens = ollamaResponse.PromptEvalCount
|
||||
usage.CompletionTokens = ollamaResponse.EvalCount
|
||||
usage.TotalTokens = ollamaResponse.PromptEvalCount + ollamaResponse.EvalCount
|
||||
}
|
||||
|
||||
response := streamResponseOllama2OpenAI(&ollamaResponse)
|
||||
err = render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError(err.Error())
|
||||
}
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
logger.SysError("error reading stream: " + err.Error())
|
||||
}
|
||||
|
||||
render.Done(c)
|
||||
|
||||
err := resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
|
||||
return nil, &usage
|
||||
}
|
||||
|
||||
|
||||
@@ -4,15 +4,17 @@ import (
|
||||
"bufio"
|
||||
"bytes"
|
||||
"encoding/json"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/songquanpeng/one-api/common"
|
||||
"github.com/songquanpeng/one-api/common/conv"
|
||||
"github.com/songquanpeng/one-api/common/logger"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
"github.com/songquanpeng/one-api/relay/relaymode"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
)
|
||||
|
||||
const (
|
||||
@@ -24,88 +26,68 @@ const (
|
||||
func StreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*model.ErrorWithStatusCode, string, *model.Usage) {
|
||||
responseText := ""
|
||||
scanner := bufio.NewScanner(resp.Body)
|
||||
scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
|
||||
if atEOF && len(data) == 0 {
|
||||
return 0, nil, nil
|
||||
}
|
||||
if i := strings.Index(string(data), "\n"); i >= 0 {
|
||||
return i + 1, data[0:i], nil
|
||||
}
|
||||
if atEOF {
|
||||
return len(data), data, nil
|
||||
}
|
||||
return 0, nil, nil
|
||||
})
|
||||
dataChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
scanner.Split(bufio.ScanLines)
|
||||
var usage *model.Usage
|
||||
go func() {
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < dataPrefixLength { // ignore blank line or wrong format
|
||||
continue
|
||||
}
|
||||
if data[:dataPrefixLength] != dataPrefix && data[:dataPrefixLength] != done {
|
||||
continue
|
||||
}
|
||||
if strings.HasPrefix(data[dataPrefixLength:], done) {
|
||||
dataChan <- data
|
||||
continue
|
||||
}
|
||||
switch relayMode {
|
||||
case relaymode.ChatCompletions:
|
||||
var streamResponse ChatCompletionsStreamResponse
|
||||
err := json.Unmarshal([]byte(data[dataPrefixLength:]), &streamResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
dataChan <- data // if error happened, pass the data to client
|
||||
continue // just ignore the error
|
||||
}
|
||||
if len(streamResponse.Choices) == 0 {
|
||||
// but for empty choice, we should not pass it to client, this is for azure
|
||||
continue // just ignore empty choice
|
||||
}
|
||||
dataChan <- data
|
||||
for _, choice := range streamResponse.Choices {
|
||||
responseText += conv.AsString(choice.Delta.Content)
|
||||
}
|
||||
if streamResponse.Usage != nil {
|
||||
usage = streamResponse.Usage
|
||||
}
|
||||
case relaymode.Completions:
|
||||
dataChan <- data
|
||||
var streamResponse CompletionsStreamResponse
|
||||
err := json.Unmarshal([]byte(data[dataPrefixLength:]), &streamResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
continue
|
||||
}
|
||||
for _, choice := range streamResponse.Choices {
|
||||
responseText += choice.Text
|
||||
}
|
||||
}
|
||||
}
|
||||
stopChan <- true
|
||||
}()
|
||||
|
||||
common.SetEventStreamHeaders(c)
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
|
||||
case data := <-dataChan:
|
||||
if strings.HasPrefix(data, "data: [DONE]") {
|
||||
data = data[:12]
|
||||
}
|
||||
// some implementations may add \r at the end of data
|
||||
data = strings.TrimSuffix(data, "\r")
|
||||
c.Render(-1, common.CustomEvent{Data: data})
|
||||
return true
|
||||
case <-stopChan:
|
||||
return false
|
||||
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < dataPrefixLength { // ignore blank line or wrong format
|
||||
continue
|
||||
}
|
||||
})
|
||||
if data[:dataPrefixLength] != dataPrefix && data[:dataPrefixLength] != done {
|
||||
continue
|
||||
}
|
||||
if strings.HasPrefix(data[dataPrefixLength:], done) {
|
||||
render.StringData(c, data)
|
||||
continue
|
||||
}
|
||||
switch relayMode {
|
||||
case relaymode.ChatCompletions:
|
||||
var streamResponse ChatCompletionsStreamResponse
|
||||
err := json.Unmarshal([]byte(data[dataPrefixLength:]), &streamResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
render.StringData(c, data) // if error happened, pass the data to client
|
||||
continue // just ignore the error
|
||||
}
|
||||
if len(streamResponse.Choices) == 0 {
|
||||
// but for empty choice, we should not pass it to client, this is for azure
|
||||
continue // just ignore empty choice
|
||||
}
|
||||
render.StringData(c, data)
|
||||
for _, choice := range streamResponse.Choices {
|
||||
responseText += conv.AsString(choice.Delta.Content)
|
||||
}
|
||||
if streamResponse.Usage != nil {
|
||||
usage = streamResponse.Usage
|
||||
}
|
||||
case relaymode.Completions:
|
||||
render.StringData(c, data)
|
||||
var streamResponse CompletionsStreamResponse
|
||||
err := json.Unmarshal([]byte(data[dataPrefixLength:]), &streamResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
continue
|
||||
}
|
||||
for _, choice := range streamResponse.Choices {
|
||||
responseText += choice.Text
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
logger.SysError("error reading stream: " + err.Error())
|
||||
}
|
||||
|
||||
render.Done(c)
|
||||
|
||||
err := resp.Body.Close()
|
||||
if err != nil {
|
||||
return ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), "", nil
|
||||
}
|
||||
|
||||
return nil, responseText, usage
|
||||
}
|
||||
|
||||
@@ -149,7 +131,7 @@ func Handler(c *gin.Context, resp *http.Response, promptTokens int, modelName st
|
||||
return ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
|
||||
if textResponse.Usage.TotalTokens == 0 {
|
||||
if textResponse.Usage.TotalTokens == 0 || (textResponse.Usage.PromptTokens == 0 && textResponse.Usage.CompletionTokens == 0) {
|
||||
completionTokens := 0
|
||||
for _, choice := range textResponse.Choices {
|
||||
completionTokens += CountTokenText(choice.Message.StringContent(), modelName)
|
||||
|
||||
@@ -3,6 +3,10 @@ package palm
|
||||
import (
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"io"
|
||||
"net/http"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/songquanpeng/one-api/common"
|
||||
"github.com/songquanpeng/one-api/common/helper"
|
||||
@@ -11,8 +15,6 @@ import (
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/openai"
|
||||
"github.com/songquanpeng/one-api/relay/constant"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
"io"
|
||||
"net/http"
|
||||
)
|
||||
|
||||
// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#request-body
|
||||
@@ -77,58 +79,51 @@ func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusC
|
||||
responseText := ""
|
||||
responseId := fmt.Sprintf("chatcmpl-%s", random.GetUUID())
|
||||
createdTime := helper.GetTimestamp()
|
||||
dataChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
go func() {
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
logger.SysError("error reading stream response: " + err.Error())
|
||||
stopChan <- true
|
||||
return
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
logger.SysError("error closing stream response: " + err.Error())
|
||||
stopChan <- true
|
||||
return
|
||||
}
|
||||
var palmResponse ChatResponse
|
||||
err = json.Unmarshal(responseBody, &palmResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
stopChan <- true
|
||||
return
|
||||
}
|
||||
fullTextResponse := streamResponsePaLM2OpenAI(&palmResponse)
|
||||
fullTextResponse.Id = responseId
|
||||
fullTextResponse.Created = createdTime
|
||||
if len(palmResponse.Candidates) > 0 {
|
||||
responseText = palmResponse.Candidates[0].Content
|
||||
}
|
||||
jsonResponse, err := json.Marshal(fullTextResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
stopChan <- true
|
||||
return
|
||||
}
|
||||
dataChan <- string(jsonResponse)
|
||||
stopChan <- true
|
||||
}()
|
||||
|
||||
common.SetEventStreamHeaders(c)
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
|
||||
case data := <-dataChan:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + data})
|
||||
return true
|
||||
case <-stopChan:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
|
||||
return false
|
||||
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
logger.SysError("error reading stream response: " + err.Error())
|
||||
err := resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
|
||||
}
|
||||
})
|
||||
err := resp.Body.Close()
|
||||
return openai.ErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), ""
|
||||
}
|
||||
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
|
||||
}
|
||||
|
||||
var palmResponse ChatResponse
|
||||
err = json.Unmarshal(responseBody, &palmResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), ""
|
||||
}
|
||||
|
||||
fullTextResponse := streamResponsePaLM2OpenAI(&palmResponse)
|
||||
fullTextResponse.Id = responseId
|
||||
fullTextResponse.Created = createdTime
|
||||
if len(palmResponse.Candidates) > 0 {
|
||||
responseText = palmResponse.Candidates[0].Content
|
||||
}
|
||||
|
||||
jsonResponse, err := json.Marshal(fullTextResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return openai.ErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), ""
|
||||
}
|
||||
|
||||
err = render.ObjectData(c, string(jsonResponse))
|
||||
if err != nil {
|
||||
logger.SysError(err.Error())
|
||||
}
|
||||
|
||||
render.Done(c)
|
||||
|
||||
return nil, responseText
|
||||
}
|
||||
|
||||
|
||||
@@ -8,6 +8,13 @@ import (
|
||||
"encoding/json"
|
||||
"errors"
|
||||
"fmt"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"io"
|
||||
"net/http"
|
||||
"strconv"
|
||||
"strings"
|
||||
"time"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/songquanpeng/one-api/common"
|
||||
"github.com/songquanpeng/one-api/common/conv"
|
||||
@@ -17,11 +24,6 @@ import (
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/openai"
|
||||
"github.com/songquanpeng/one-api/relay/constant"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
"io"
|
||||
"net/http"
|
||||
"strconv"
|
||||
"strings"
|
||||
"time"
|
||||
)
|
||||
|
||||
func ConvertRequest(request model.GeneralOpenAIRequest) *ChatRequest {
|
||||
@@ -87,64 +89,46 @@ func streamResponseTencent2OpenAI(TencentResponse *ChatResponse) *openai.ChatCom
|
||||
func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusCode, string) {
|
||||
var responseText string
|
||||
scanner := bufio.NewScanner(resp.Body)
|
||||
scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
|
||||
if atEOF && len(data) == 0 {
|
||||
return 0, nil, nil
|
||||
}
|
||||
if i := strings.Index(string(data), "\n"); i >= 0 {
|
||||
return i + 1, data[0:i], nil
|
||||
}
|
||||
if atEOF {
|
||||
return len(data), data, nil
|
||||
}
|
||||
return 0, nil, nil
|
||||
})
|
||||
dataChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
go func() {
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 5 { // ignore blank line or wrong format
|
||||
continue
|
||||
}
|
||||
if data[:5] != "data:" {
|
||||
continue
|
||||
}
|
||||
data = data[5:]
|
||||
dataChan <- data
|
||||
}
|
||||
stopChan <- true
|
||||
}()
|
||||
scanner.Split(bufio.ScanLines)
|
||||
|
||||
common.SetEventStreamHeaders(c)
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
|
||||
case data := <-dataChan:
|
||||
var TencentResponse ChatResponse
|
||||
err := json.Unmarshal([]byte(data), &TencentResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
response := streamResponseTencent2OpenAI(&TencentResponse)
|
||||
if len(response.Choices) != 0 {
|
||||
responseText += conv.AsString(response.Choices[0].Delta.Content)
|
||||
}
|
||||
jsonResponse, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
|
||||
return true
|
||||
case <-stopChan:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
|
||||
return false
|
||||
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 5 || !strings.HasPrefix(data, "data:") {
|
||||
continue
|
||||
}
|
||||
})
|
||||
data = strings.TrimPrefix(data, "data:")
|
||||
|
||||
var tencentResponse ChatResponse
|
||||
err := json.Unmarshal([]byte(data), &tencentResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
continue
|
||||
}
|
||||
|
||||
response := streamResponseTencent2OpenAI(&tencentResponse)
|
||||
if len(response.Choices) != 0 {
|
||||
responseText += conv.AsString(response.Choices[0].Delta.Content)
|
||||
}
|
||||
|
||||
err = render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError(err.Error())
|
||||
}
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
logger.SysError("error reading stream: " + err.Error())
|
||||
}
|
||||
|
||||
render.Done(c)
|
||||
|
||||
err := resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
|
||||
}
|
||||
|
||||
return nil, responseText
|
||||
}
|
||||
|
||||
|
||||
@@ -6,4 +6,5 @@ var ModelList = []string{
|
||||
"SparkDesk-v2.1",
|
||||
"SparkDesk-v3.1",
|
||||
"SparkDesk-v3.5",
|
||||
"SparkDesk-v4.0",
|
||||
}
|
||||
|
||||
@@ -44,7 +44,7 @@ func requestOpenAI2Xunfei(request model.GeneralOpenAIRequest, xunfeiAppId string
|
||||
xunfeiRequest.Parameter.Chat.MaxTokens = request.MaxTokens
|
||||
xunfeiRequest.Payload.Message.Text = messages
|
||||
|
||||
if strings.HasPrefix(domain, "generalv3") {
|
||||
if strings.HasPrefix(domain, "generalv3") || domain == "4.0Ultra" {
|
||||
functions := make([]model.Function, len(request.Tools))
|
||||
for i, tool := range request.Tools {
|
||||
functions[i] = tool.Function
|
||||
@@ -290,6 +290,8 @@ func apiVersion2domain(apiVersion string) string {
|
||||
return "generalv3"
|
||||
case "v3.5":
|
||||
return "generalv3.5"
|
||||
case "v4.0":
|
||||
return "4.0Ultra"
|
||||
}
|
||||
return "general" + apiVersion
|
||||
}
|
||||
|
||||
@@ -3,6 +3,13 @@ package zhipu
|
||||
import (
|
||||
"bufio"
|
||||
"encoding/json"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
"sync"
|
||||
"time"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/golang-jwt/jwt"
|
||||
"github.com/songquanpeng/one-api/common"
|
||||
@@ -11,11 +18,6 @@ import (
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/openai"
|
||||
"github.com/songquanpeng/one-api/relay/constant"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
"sync"
|
||||
"time"
|
||||
)
|
||||
|
||||
// https://open.bigmodel.cn/doc/api#chatglm_std
|
||||
@@ -155,66 +157,55 @@ func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusC
|
||||
}
|
||||
return 0, nil, nil
|
||||
})
|
||||
dataChan := make(chan string)
|
||||
metaChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
go func() {
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
lines := strings.Split(data, "\n")
|
||||
for i, line := range lines {
|
||||
if len(line) < 5 {
|
||||
|
||||
common.SetEventStreamHeaders(c)
|
||||
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
lines := strings.Split(data, "\n")
|
||||
for i, line := range lines {
|
||||
if len(line) < 5 {
|
||||
continue
|
||||
}
|
||||
if strings.HasPrefix(line, "data:") {
|
||||
dataSegment := line[5:]
|
||||
if i != len(lines)-1 {
|
||||
dataSegment += "\n"
|
||||
}
|
||||
response := streamResponseZhipu2OpenAI(dataSegment)
|
||||
err := render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
}
|
||||
} else if strings.HasPrefix(line, "meta:") {
|
||||
metaSegment := line[5:]
|
||||
var zhipuResponse StreamMetaResponse
|
||||
err := json.Unmarshal([]byte(metaSegment), &zhipuResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
continue
|
||||
}
|
||||
if line[:5] == "data:" {
|
||||
dataChan <- line[5:]
|
||||
if i != len(lines)-1 {
|
||||
dataChan <- "\n"
|
||||
}
|
||||
} else if line[:5] == "meta:" {
|
||||
metaChan <- line[5:]
|
||||
response, zhipuUsage := streamMetaResponseZhipu2OpenAI(&zhipuResponse)
|
||||
err = render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
}
|
||||
usage = zhipuUsage
|
||||
}
|
||||
}
|
||||
stopChan <- true
|
||||
}()
|
||||
common.SetEventStreamHeaders(c)
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
|
||||
case data := <-dataChan:
|
||||
response := streamResponseZhipu2OpenAI(data)
|
||||
jsonResponse, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
|
||||
return true
|
||||
case data := <-metaChan:
|
||||
var zhipuResponse StreamMetaResponse
|
||||
err := json.Unmarshal([]byte(data), &zhipuResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
response, zhipuUsage := streamMetaResponseZhipu2OpenAI(&zhipuResponse)
|
||||
jsonResponse, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
usage = zhipuUsage
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
|
||||
return true
|
||||
case <-stopChan:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
|
||||
return false
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
logger.SysError("error reading stream: " + err.Error())
|
||||
}
|
||||
|
||||
render.Done(c)
|
||||
|
||||
err := resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
|
||||
return nil, usage
|
||||
}
|
||||
|
||||
|
||||
@@ -70,12 +70,13 @@ var ModelRatio = map[string]float64{
|
||||
"dall-e-2": 0.02 * USD, // $0.016 - $0.020 / image
|
||||
"dall-e-3": 0.04 * USD, // $0.040 - $0.120 / image
|
||||
// https://www.anthropic.com/api#pricing
|
||||
"claude-instant-1.2": 0.8 / 1000 * USD,
|
||||
"claude-2.0": 8.0 / 1000 * USD,
|
||||
"claude-2.1": 8.0 / 1000 * USD,
|
||||
"claude-3-haiku-20240307": 0.25 / 1000 * USD,
|
||||
"claude-3-sonnet-20240229": 3.0 / 1000 * USD,
|
||||
"claude-3-opus-20240229": 15.0 / 1000 * USD,
|
||||
"claude-instant-1.2": 0.8 / 1000 * USD,
|
||||
"claude-2.0": 8.0 / 1000 * USD,
|
||||
"claude-2.1": 8.0 / 1000 * USD,
|
||||
"claude-3-haiku-20240307": 0.25 / 1000 * USD,
|
||||
"claude-3-sonnet-20240229": 3.0 / 1000 * USD,
|
||||
"claude-3-5-sonnet-20240620": 3.0 / 1000 * USD,
|
||||
"claude-3-opus-20240229": 15.0 / 1000 * USD,
|
||||
// https://cloud.baidu.com/doc/WENXINWORKSHOP/s/hlrk4akp7
|
||||
"ERNIE-4.0-8K": 0.120 * RMB,
|
||||
"ERNIE-3.5-8K": 0.012 * RMB,
|
||||
@@ -124,6 +125,7 @@ var ModelRatio = map[string]float64{
|
||||
"SparkDesk-v2.1": 1.2858, // ¥0.018 / 1k tokens
|
||||
"SparkDesk-v3.1": 1.2858, // ¥0.018 / 1k tokens
|
||||
"SparkDesk-v3.5": 1.2858, // ¥0.018 / 1k tokens
|
||||
"SparkDesk-v4.0": 1.2858, // ¥0.018 / 1k tokens
|
||||
"360GPT_S2_V9": 0.8572, // ¥0.012 / 1k tokens
|
||||
"embedding-bert-512-v1": 0.0715, // ¥0.001 / 1k tokens
|
||||
"embedding_s1_v1": 0.0715, // ¥0.001 / 1k tokens
|
||||
|
||||
@@ -40,78 +40,6 @@ func getAndValidateTextRequest(c *gin.Context, relayMode int) (*relaymodel.Gener
|
||||
return textRequest, nil
|
||||
}
|
||||
|
||||
func getImageRequest(c *gin.Context, relayMode int) (*relaymodel.ImageRequest, error) {
|
||||
imageRequest := &relaymodel.ImageRequest{}
|
||||
err := common.UnmarshalBodyReusable(c, imageRequest)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
if imageRequest.N == 0 {
|
||||
imageRequest.N = 1
|
||||
}
|
||||
if imageRequest.Size == "" {
|
||||
imageRequest.Size = "1024x1024"
|
||||
}
|
||||
if imageRequest.Model == "" {
|
||||
imageRequest.Model = "dall-e-2"
|
||||
}
|
||||
return imageRequest, nil
|
||||
}
|
||||
|
||||
func isValidImageSize(model string, size string) bool {
|
||||
if model == "cogview-3" {
|
||||
return true
|
||||
}
|
||||
_, ok := billingratio.ImageSizeRatios[model][size]
|
||||
return ok
|
||||
}
|
||||
|
||||
func getImageSizeRatio(model string, size string) float64 {
|
||||
ratio, ok := billingratio.ImageSizeRatios[model][size]
|
||||
if !ok {
|
||||
return 1
|
||||
}
|
||||
return ratio
|
||||
}
|
||||
|
||||
func validateImageRequest(imageRequest *relaymodel.ImageRequest, meta *meta.Meta) *relaymodel.ErrorWithStatusCode {
|
||||
// model validation
|
||||
hasValidSize := isValidImageSize(imageRequest.Model, imageRequest.Size)
|
||||
if !hasValidSize {
|
||||
return openai.ErrorWrapper(errors.New("size not supported for this image model"), "size_not_supported", http.StatusBadRequest)
|
||||
}
|
||||
// check prompt length
|
||||
if imageRequest.Prompt == "" {
|
||||
return openai.ErrorWrapper(errors.New("prompt is required"), "prompt_missing", http.StatusBadRequest)
|
||||
}
|
||||
if len(imageRequest.Prompt) > billingratio.ImagePromptLengthLimitations[imageRequest.Model] {
|
||||
return openai.ErrorWrapper(errors.New("prompt is too long"), "prompt_too_long", http.StatusBadRequest)
|
||||
}
|
||||
// Number of generated images validation
|
||||
if !isWithinRange(imageRequest.Model, imageRequest.N) {
|
||||
// channel not azure
|
||||
if meta.ChannelType != channeltype.Azure {
|
||||
return openai.ErrorWrapper(errors.New("invalid value of n"), "n_not_within_range", http.StatusBadRequest)
|
||||
}
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
func getImageCostRatio(imageRequest *relaymodel.ImageRequest) (float64, error) {
|
||||
if imageRequest == nil {
|
||||
return 0, errors.New("imageRequest is nil")
|
||||
}
|
||||
imageCostRatio := getImageSizeRatio(imageRequest.Model, imageRequest.Size)
|
||||
if imageRequest.Quality == "hd" && imageRequest.Model == "dall-e-3" {
|
||||
if imageRequest.Size == "1024x1024" {
|
||||
imageCostRatio *= 2
|
||||
} else {
|
||||
imageCostRatio *= 1.5
|
||||
}
|
||||
}
|
||||
return imageCostRatio, nil
|
||||
}
|
||||
|
||||
func getPromptTokens(textRequest *relaymodel.GeneralOpenAIRequest, relayMode int) int {
|
||||
switch relayMode {
|
||||
case relaymode.ChatCompletions:
|
||||
|
||||
@@ -7,6 +7,7 @@ import (
|
||||
"errors"
|
||||
"fmt"
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/songquanpeng/one-api/common"
|
||||
"github.com/songquanpeng/one-api/common/ctxkey"
|
||||
"github.com/songquanpeng/one-api/common/logger"
|
||||
"github.com/songquanpeng/one-api/model"
|
||||
@@ -20,13 +21,84 @@ import (
|
||||
"net/http"
|
||||
)
|
||||
|
||||
func isWithinRange(element string, value int) bool {
|
||||
if _, ok := billingratio.ImageGenerationAmounts[element]; !ok {
|
||||
return false
|
||||
func getImageRequest(c *gin.Context, relayMode int) (*relaymodel.ImageRequest, error) {
|
||||
imageRequest := &relaymodel.ImageRequest{}
|
||||
err := common.UnmarshalBodyReusable(c, imageRequest)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
min := billingratio.ImageGenerationAmounts[element][0]
|
||||
max := billingratio.ImageGenerationAmounts[element][1]
|
||||
return value >= min && value <= max
|
||||
if imageRequest.N == 0 {
|
||||
imageRequest.N = 1
|
||||
}
|
||||
if imageRequest.Size == "" {
|
||||
imageRequest.Size = "1024x1024"
|
||||
}
|
||||
if imageRequest.Model == "" {
|
||||
imageRequest.Model = "dall-e-2"
|
||||
}
|
||||
return imageRequest, nil
|
||||
}
|
||||
|
||||
func isValidImageSize(model string, size string) bool {
|
||||
if model == "cogview-3" || billingratio.ImageSizeRatios[model] == nil {
|
||||
return true
|
||||
}
|
||||
_, ok := billingratio.ImageSizeRatios[model][size]
|
||||
return ok
|
||||
}
|
||||
|
||||
func isValidImagePromptLength(model string, promptLength int) bool {
|
||||
maxPromptLength, ok := billingratio.ImagePromptLengthLimitations[model]
|
||||
return !ok || promptLength <= maxPromptLength
|
||||
}
|
||||
|
||||
func isWithinRange(element string, value int) bool {
|
||||
amounts, ok := billingratio.ImageGenerationAmounts[element]
|
||||
return !ok || (value >= amounts[0] && value <= amounts[1])
|
||||
}
|
||||
|
||||
func getImageSizeRatio(model string, size string) float64 {
|
||||
if ratio, ok := billingratio.ImageSizeRatios[model][size]; ok {
|
||||
return ratio
|
||||
}
|
||||
return 1
|
||||
}
|
||||
|
||||
func validateImageRequest(imageRequest *relaymodel.ImageRequest, meta *meta.Meta) *relaymodel.ErrorWithStatusCode {
|
||||
// check prompt length
|
||||
if imageRequest.Prompt == "" {
|
||||
return openai.ErrorWrapper(errors.New("prompt is required"), "prompt_missing", http.StatusBadRequest)
|
||||
}
|
||||
|
||||
// model validation
|
||||
if !isValidImageSize(imageRequest.Model, imageRequest.Size) {
|
||||
return openai.ErrorWrapper(errors.New("size not supported for this image model"), "size_not_supported", http.StatusBadRequest)
|
||||
}
|
||||
|
||||
if !isValidImagePromptLength(imageRequest.Model, len(imageRequest.Prompt)) {
|
||||
return openai.ErrorWrapper(errors.New("prompt is too long"), "prompt_too_long", http.StatusBadRequest)
|
||||
}
|
||||
|
||||
// Number of generated images validation
|
||||
if !isWithinRange(imageRequest.Model, imageRequest.N) {
|
||||
return openai.ErrorWrapper(errors.New("invalid value of n"), "n_not_within_range", http.StatusBadRequest)
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
func getImageCostRatio(imageRequest *relaymodel.ImageRequest) (float64, error) {
|
||||
if imageRequest == nil {
|
||||
return 0, errors.New("imageRequest is nil")
|
||||
}
|
||||
imageCostRatio := getImageSizeRatio(imageRequest.Model, imageRequest.Size)
|
||||
if imageRequest.Quality == "hd" && imageRequest.Model == "dall-e-3" {
|
||||
if imageRequest.Size == "1024x1024" {
|
||||
imageCostRatio *= 2
|
||||
} else {
|
||||
imageCostRatio *= 1.5
|
||||
}
|
||||
}
|
||||
return imageCostRatio, nil
|
||||
}
|
||||
|
||||
func RelayImageHelper(c *gin.Context, relayMode int) *relaymodel.ErrorWithStatusCode {
|
||||
|
||||
@@ -1,10 +1,11 @@
|
||||
package model
|
||||
|
||||
type Message struct {
|
||||
Role string `json:"role,omitempty"`
|
||||
Content any `json:"content,omitempty"`
|
||||
Name *string `json:"name,omitempty"`
|
||||
ToolCalls []Tool `json:"tool_calls,omitempty"`
|
||||
Role string `json:"role,omitempty"`
|
||||
Content any `json:"content,omitempty"`
|
||||
Name *string `json:"name,omitempty"`
|
||||
ToolCalls []Tool `json:"tool_calls,omitempty"`
|
||||
ToolCallId string `json:"tool_call_id,omitempty"`
|
||||
}
|
||||
|
||||
func (m Message) IsStringContent() bool {
|
||||
|
||||
@@ -2,13 +2,13 @@ package model
|
||||
|
||||
type Tool struct {
|
||||
Id string `json:"id,omitempty"`
|
||||
Type string `json:"type"`
|
||||
Type string `json:"type,omitempty"` // when splicing claude tools stream messages, it is empty
|
||||
Function Function `json:"function"`
|
||||
}
|
||||
|
||||
type Function struct {
|
||||
Description string `json:"description,omitempty"`
|
||||
Name string `json:"name"`
|
||||
Name string `json:"name,omitempty"` // when splicing claude tools stream messages, it is empty
|
||||
Parameters any `json:"parameters,omitempty"` // request
|
||||
Arguments any `json:"arguments,omitempty"` // response
|
||||
}
|
||||
|
||||
@@ -63,7 +63,7 @@ const EditChannel = (props) => {
|
||||
let localModels = [];
|
||||
switch (value) {
|
||||
case 14:
|
||||
localModels = ["claude-instant-1.2", "claude-2", "claude-2.0", "claude-2.1", "claude-3-opus-20240229", "claude-3-sonnet-20240229", "claude-3-haiku-20240307"];
|
||||
localModels = ["claude-instant-1.2", "claude-2", "claude-2.0", "claude-2.1", "claude-3-opus-20240229", "claude-3-sonnet-20240229", "claude-3-haiku-20240307", "claude-3-5-sonnet-20240620"];
|
||||
break;
|
||||
case 11:
|
||||
localModels = ['PaLM-2'];
|
||||
@@ -78,7 +78,7 @@ const EditChannel = (props) => {
|
||||
localModels = ['chatglm_pro', 'chatglm_std', 'chatglm_lite'];
|
||||
break;
|
||||
case 18:
|
||||
localModels = ['SparkDesk', 'SparkDesk-v1.1', 'SparkDesk-v2.1', 'SparkDesk-v3.1', 'SparkDesk-v3.5'];
|
||||
localModels = ['SparkDesk', 'SparkDesk-v1.1', 'SparkDesk-v2.1', 'SparkDesk-v3.1', 'SparkDesk-v3.5', 'SparkDesk-v4.0'];
|
||||
break;
|
||||
case 19:
|
||||
localModels = ['360GPT_S2_V9', 'embedding-bert-512-v1', 'embedding_s1_v1', 'semantic_similarity_s1_v1'];
|
||||
|
||||
@@ -91,7 +91,7 @@ const typeConfig = {
|
||||
other: '版本号'
|
||||
},
|
||||
input: {
|
||||
models: ['SparkDesk', 'SparkDesk-v1.1', 'SparkDesk-v2.1', 'SparkDesk-v3.1', 'SparkDesk-v3.5']
|
||||
models: ['SparkDesk', 'SparkDesk-v1.1', 'SparkDesk-v2.1', 'SparkDesk-v3.1', 'SparkDesk-v3.5', 'SparkDesk-v4.0']
|
||||
},
|
||||
prompt: {
|
||||
key: '按照如下格式输入:APPID|APISecret|APIKey',
|
||||
|
||||
Reference in New Issue
Block a user