Merge remote-tracking branch 'origin/upstream/main' into patch/images-edits

This commit is contained in:
Laisky.Cai
2024-07-13 13:42:49 +00:00
65 changed files with 1957 additions and 1200 deletions

View File

@@ -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
}

View File

@@ -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

View File

@@ -5,4 +5,5 @@ var ModelList = []string{
"claude-3-haiku-20240307",
"claude-3-sonnet-20240229",
"claude-3-opus-20240229",
"claude-3-5-sonnet-20240620",
}

View File

@@ -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
}

View File

@@ -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"`
}

View File

@@ -1,17 +1,16 @@
package aws
import (
"github.com/aws/aws-sdk-go-v2/aws"
"github.com/aws/aws-sdk-go-v2/credentials"
"github.com/aws/aws-sdk-go-v2/service/bedrockruntime"
"github.com/songquanpeng/one-api/common/ctxkey"
"errors"
"io"
"net/http"
"github.com/aws/aws-sdk-go-v2/aws"
"github.com/aws/aws-sdk-go-v2/credentials"
"github.com/aws/aws-sdk-go-v2/service/bedrockruntime"
"github.com/gin-gonic/gin"
"github.com/pkg/errors"
"github.com/songquanpeng/one-api/relay/adaptor"
"github.com/songquanpeng/one-api/relay/adaptor/anthropic"
"github.com/songquanpeng/one-api/relay/adaptor/aws/utils"
"github.com/songquanpeng/one-api/relay/meta"
"github.com/songquanpeng/one-api/relay/model"
)
@@ -19,18 +18,52 @@ import (
var _ adaptor.Adaptor = new(Adaptor)
type Adaptor struct {
meta *meta.Meta
awsClient *bedrockruntime.Client
awsAdapter utils.AwsAdapter
Meta *meta.Meta
AwsClient *bedrockruntime.Client
}
func (a *Adaptor) Init(meta *meta.Meta) {
a.meta = meta
a.awsClient = bedrockruntime.New(bedrockruntime.Options{
a.Meta = meta
a.AwsClient = bedrockruntime.New(bedrockruntime.Options{
Region: meta.Config.Region,
Credentials: aws.NewCredentialsCache(credentials.NewStaticCredentialsProvider(meta.Config.AK, meta.Config.SK, "")),
})
}
func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.GeneralOpenAIRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}
adaptor := GetAdaptor(request.Model)
if adaptor == nil {
return nil, errors.New("adaptor not found")
}
a.awsAdapter = adaptor
return adaptor.ConvertRequest(c, relayMode, request)
}
func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, meta *meta.Meta) (usage *model.Usage, err *model.ErrorWithStatusCode) {
if a.awsAdapter == nil {
return nil, utils.WrapErr(errors.New("awsAdapter is nil"))
}
return a.awsAdapter.DoResponse(c, a.AwsClient, meta)
}
func (a *Adaptor) GetModelList() (models []string) {
for model := range adaptors {
models = append(models, model)
}
return
}
func (a *Adaptor) GetChannelName() string {
return "aws"
}
func (a *Adaptor) GetRequestURL(meta *meta.Meta) (string, error) {
return "", nil
}
@@ -39,17 +72,6 @@ func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Request, meta *me
return nil
}
func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.GeneralOpenAIRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}
claudeReq := anthropic.ConvertRequest(*request)
c.Set(ctxkey.RequestModel, request.Model)
c.Set(ctxkey.ConvertedRequest, claudeReq)
return claudeReq, nil
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
@@ -60,23 +82,3 @@ func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error)
func (a *Adaptor) DoRequest(c *gin.Context, meta *meta.Meta, requestBody io.Reader) (*http.Response, error) {
return nil, nil
}
func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, meta *meta.Meta) (usage *model.Usage, err *model.ErrorWithStatusCode) {
if meta.IsStream {
err, usage = StreamHandler(c, a.awsClient)
} else {
err, usage = Handler(c, a.awsClient, meta.ActualModelName)
}
return
}
func (a *Adaptor) GetModelList() (models []string) {
for n := range awsModelIDMap {
models = append(models, n)
}
return
}
func (a *Adaptor) GetChannelName() string {
return "aws"
}

View File

@@ -0,0 +1,37 @@
package aws
import (
"github.com/aws/aws-sdk-go-v2/service/bedrockruntime"
"github.com/gin-gonic/gin"
"github.com/pkg/errors"
"github.com/songquanpeng/one-api/common/ctxkey"
"github.com/songquanpeng/one-api/relay/adaptor/anthropic"
"github.com/songquanpeng/one-api/relay/adaptor/aws/utils"
"github.com/songquanpeng/one-api/relay/meta"
"github.com/songquanpeng/one-api/relay/model"
)
var _ utils.AwsAdapter = new(Adaptor)
type Adaptor struct {
}
func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.GeneralOpenAIRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}
claudeReq := anthropic.ConvertRequest(*request)
c.Set(ctxkey.RequestModel, request.Model)
c.Set(ctxkey.ConvertedRequest, claudeReq)
return claudeReq, nil
}
func (a *Adaptor) DoResponse(c *gin.Context, awsCli *bedrockruntime.Client, meta *meta.Meta) (usage *model.Usage, err *model.ErrorWithStatusCode) {
if meta.IsStream {
err, usage = StreamHandler(c, awsCli)
} else {
err, usage = Handler(c, awsCli, meta.ActualModelName)
}
return
}

View File

@@ -5,7 +5,6 @@ import (
"bytes"
"encoding/json"
"fmt"
"github.com/songquanpeng/one-api/common/ctxkey"
"io"
"net/http"
@@ -16,33 +15,28 @@ import (
"github.com/jinzhu/copier"
"github.com/pkg/errors"
"github.com/songquanpeng/one-api/common"
"github.com/songquanpeng/one-api/common/ctxkey"
"github.com/songquanpeng/one-api/common/helper"
"github.com/songquanpeng/one-api/common/logger"
"github.com/songquanpeng/one-api/relay/adaptor/anthropic"
"github.com/songquanpeng/one-api/relay/adaptor/aws/utils"
"github.com/songquanpeng/one-api/relay/adaptor/openai"
relaymodel "github.com/songquanpeng/one-api/relay/model"
)
func wrapErr(err error) *relaymodel.ErrorWithStatusCode {
return &relaymodel.ErrorWithStatusCode{
StatusCode: http.StatusInternalServerError,
Error: relaymodel.Error{
Message: fmt.Sprintf("%s", err.Error()),
},
}
}
// 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",
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-3-5-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) {
if awsModelID, ok := awsModelIDMap[requestModel]; ok {
if awsModelID, ok := AwsModelIDMap[requestModel]; ok {
return awsModelID, nil
}
@@ -52,7 +46,7 @@ func awsModelID(requestModel string) (string, error) {
func Handler(c *gin.Context, awsCli *bedrockruntime.Client, modelName string) (*relaymodel.ErrorWithStatusCode, *relaymodel.Usage) {
awsModelId, err := awsModelID(c.GetString(ctxkey.RequestModel))
if err != nil {
return wrapErr(errors.Wrap(err, "awsModelID")), nil
return utils.WrapErr(errors.Wrap(err, "awsModelID")), nil
}
awsReq := &bedrockruntime.InvokeModelInput{
@@ -63,30 +57,30 @@ func Handler(c *gin.Context, awsCli *bedrockruntime.Client, modelName string) (*
claudeReq_, ok := c.Get(ctxkey.ConvertedRequest)
if !ok {
return wrapErr(errors.New("request not found")), nil
return utils.WrapErr(errors.New("request not found")), nil
}
claudeReq := claudeReq_.(*anthropic.Request)
awsClaudeReq := &Request{
AnthropicVersion: "bedrock-2023-05-31",
}
if err = copier.Copy(awsClaudeReq, claudeReq); err != nil {
return wrapErr(errors.Wrap(err, "copy request")), nil
return utils.WrapErr(errors.Wrap(err, "copy request")), nil
}
awsReq.Body, err = json.Marshal(awsClaudeReq)
if err != nil {
return wrapErr(errors.Wrap(err, "marshal request")), nil
return utils.WrapErr(errors.Wrap(err, "marshal request")), nil
}
awsResp, err := awsCli.InvokeModel(c.Request.Context(), awsReq)
if err != nil {
return wrapErr(errors.Wrap(err, "InvokeModel")), nil
return utils.WrapErr(errors.Wrap(err, "InvokeModel")), nil
}
claudeResponse := new(anthropic.Response)
err = json.Unmarshal(awsResp.Body, claudeResponse)
if err != nil {
return wrapErr(errors.Wrap(err, "unmarshal response")), nil
return utils.WrapErr(errors.Wrap(err, "unmarshal response")), nil
}
openaiResp := anthropic.ResponseClaude2OpenAI(claudeResponse)
@@ -106,7 +100,7 @@ func StreamHandler(c *gin.Context, awsCli *bedrockruntime.Client) (*relaymodel.E
createdTime := helper.GetTimestamp()
awsModelId, err := awsModelID(c.GetString(ctxkey.RequestModel))
if err != nil {
return wrapErr(errors.Wrap(err, "awsModelID")), nil
return utils.WrapErr(errors.Wrap(err, "awsModelID")), nil
}
awsReq := &bedrockruntime.InvokeModelWithResponseStreamInput{
@@ -117,7 +111,7 @@ func StreamHandler(c *gin.Context, awsCli *bedrockruntime.Client) (*relaymodel.E
claudeReq_, ok := c.Get(ctxkey.ConvertedRequest)
if !ok {
return wrapErr(errors.New("request not found")), nil
return utils.WrapErr(errors.New("request not found")), nil
}
claudeReq := claudeReq_.(*anthropic.Request)
@@ -125,16 +119,16 @@ func StreamHandler(c *gin.Context, awsCli *bedrockruntime.Client) (*relaymodel.E
AnthropicVersion: "bedrock-2023-05-31",
}
if err = copier.Copy(awsClaudeReq, claudeReq); err != nil {
return wrapErr(errors.Wrap(err, "copy request")), nil
return utils.WrapErr(errors.Wrap(err, "copy request")), nil
}
awsReq.Body, err = json.Marshal(awsClaudeReq)
if err != nil {
return wrapErr(errors.Wrap(err, "marshal request")), nil
return utils.WrapErr(errors.Wrap(err, "marshal request")), nil
}
awsResp, err := awsCli.InvokeModelWithResponseStream(c.Request.Context(), awsReq)
if err != nil {
return wrapErr(errors.Wrap(err, "InvokeModelWithResponseStream")), nil
return utils.WrapErr(errors.Wrap(err, "InvokeModelWithResponseStream")), nil
}
stream := awsResp.GetStream()
defer stream.Close()
@@ -142,6 +136,8 @@ 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 +158,19 @@ 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 +178,12 @@ 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())

View File

@@ -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"`
}

View File

@@ -0,0 +1,37 @@
package aws
import (
"github.com/aws/aws-sdk-go-v2/service/bedrockruntime"
"github.com/songquanpeng/one-api/common/ctxkey"
"github.com/gin-gonic/gin"
"github.com/pkg/errors"
"github.com/songquanpeng/one-api/relay/adaptor/aws/utils"
"github.com/songquanpeng/one-api/relay/meta"
"github.com/songquanpeng/one-api/relay/model"
)
var _ utils.AwsAdapter = new(Adaptor)
type Adaptor struct {
}
func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.GeneralOpenAIRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}
llamaReq := ConvertRequest(*request)
c.Set(ctxkey.RequestModel, request.Model)
c.Set(ctxkey.ConvertedRequest, llamaReq)
return llamaReq, nil
}
func (a *Adaptor) DoResponse(c *gin.Context, awsCli *bedrockruntime.Client, meta *meta.Meta) (usage *model.Usage, err *model.ErrorWithStatusCode) {
if meta.IsStream {
err, usage = StreamHandler(c, awsCli)
} else {
err, usage = Handler(c, awsCli, meta.ActualModelName)
}
return
}

View File

@@ -0,0 +1,231 @@
// Package aws provides the AWS adaptor for the relay service.
package aws
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
"text/template"
"github.com/songquanpeng/one-api/common/ctxkey"
"github.com/songquanpeng/one-api/common/random"
"github.com/aws/aws-sdk-go-v2/aws"
"github.com/aws/aws-sdk-go-v2/service/bedrockruntime"
"github.com/aws/aws-sdk-go-v2/service/bedrockruntime/types"
"github.com/gin-gonic/gin"
"github.com/pkg/errors"
"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/aws/utils"
"github.com/songquanpeng/one-api/relay/adaptor/openai"
relaymodel "github.com/songquanpeng/one-api/relay/model"
)
// Only support llama-3-8b and llama-3-70b instruction models
// https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html
var AwsModelIDMap = map[string]string{
"llama3-8b-8192": "meta.llama3-8b-instruct-v1:0",
"llama3-70b-8192": "meta.llama3-70b-instruct-v1:0",
}
func awsModelID(requestModel string) (string, error) {
if awsModelID, ok := AwsModelIDMap[requestModel]; ok {
return awsModelID, nil
}
return "", errors.Errorf("model %s not found", requestModel)
}
// promptTemplate with range
const promptTemplate = `<|begin_of_text|>{{range .Messages}}<|start_header_id|>{{.Role}}<|end_header_id|>{{.StringContent}}<|eot_id|>{{end}}<|start_header_id|>assistant<|end_header_id|>
`
var promptTpl = template.Must(template.New("llama3-chat").Parse(promptTemplate))
func RenderPrompt(messages []relaymodel.Message) string {
var buf bytes.Buffer
err := promptTpl.Execute(&buf, struct{ Messages []relaymodel.Message }{messages})
if err != nil {
logger.SysError("error rendering prompt messages: " + err.Error())
}
return buf.String()
}
func ConvertRequest(textRequest relaymodel.GeneralOpenAIRequest) *Request {
llamaRequest := Request{
MaxGenLen: textRequest.MaxTokens,
Temperature: textRequest.Temperature,
TopP: textRequest.TopP,
}
if llamaRequest.MaxGenLen == 0 {
llamaRequest.MaxGenLen = 2048
}
prompt := RenderPrompt(textRequest.Messages)
llamaRequest.Prompt = prompt
return &llamaRequest
}
func Handler(c *gin.Context, awsCli *bedrockruntime.Client, modelName string) (*relaymodel.ErrorWithStatusCode, *relaymodel.Usage) {
awsModelId, err := awsModelID(c.GetString(ctxkey.RequestModel))
if err != nil {
return utils.WrapErr(errors.Wrap(err, "awsModelID")), nil
}
awsReq := &bedrockruntime.InvokeModelInput{
ModelId: aws.String(awsModelId),
Accept: aws.String("application/json"),
ContentType: aws.String("application/json"),
}
llamaReq, ok := c.Get(ctxkey.ConvertedRequest)
if !ok {
return utils.WrapErr(errors.New("request not found")), nil
}
awsReq.Body, err = json.Marshal(llamaReq)
if err != nil {
return utils.WrapErr(errors.Wrap(err, "marshal request")), nil
}
awsResp, err := awsCli.InvokeModel(c.Request.Context(), awsReq)
if err != nil {
return utils.WrapErr(errors.Wrap(err, "InvokeModel")), nil
}
var llamaResponse Response
err = json.Unmarshal(awsResp.Body, &llamaResponse)
if err != nil {
return utils.WrapErr(errors.Wrap(err, "unmarshal response")), nil
}
openaiResp := ResponseLlama2OpenAI(&llamaResponse)
openaiResp.Model = modelName
usage := relaymodel.Usage{
PromptTokens: llamaResponse.PromptTokenCount,
CompletionTokens: llamaResponse.GenerationTokenCount,
TotalTokens: llamaResponse.PromptTokenCount + llamaResponse.GenerationTokenCount,
}
openaiResp.Usage = usage
c.JSON(http.StatusOK, openaiResp)
return nil, &usage
}
func ResponseLlama2OpenAI(llamaResponse *Response) *openai.TextResponse {
var responseText string
if len(llamaResponse.Generation) > 0 {
responseText = llamaResponse.Generation
}
choice := openai.TextResponseChoice{
Index: 0,
Message: relaymodel.Message{
Role: "assistant",
Content: responseText,
Name: nil,
},
FinishReason: llamaResponse.StopReason,
}
fullTextResponse := openai.TextResponse{
Id: fmt.Sprintf("chatcmpl-%s", random.GetUUID()),
Object: "chat.completion",
Created: helper.GetTimestamp(),
Choices: []openai.TextResponseChoice{choice},
}
return &fullTextResponse
}
func StreamHandler(c *gin.Context, awsCli *bedrockruntime.Client) (*relaymodel.ErrorWithStatusCode, *relaymodel.Usage) {
createdTime := helper.GetTimestamp()
awsModelId, err := awsModelID(c.GetString(ctxkey.RequestModel))
if err != nil {
return utils.WrapErr(errors.Wrap(err, "awsModelID")), nil
}
awsReq := &bedrockruntime.InvokeModelWithResponseStreamInput{
ModelId: aws.String(awsModelId),
Accept: aws.String("application/json"),
ContentType: aws.String("application/json"),
}
llamaReq, ok := c.Get(ctxkey.ConvertedRequest)
if !ok {
return utils.WrapErr(errors.New("request not found")), nil
}
awsReq.Body, err = json.Marshal(llamaReq)
if err != nil {
return utils.WrapErr(errors.Wrap(err, "marshal request")), nil
}
awsResp, err := awsCli.InvokeModelWithResponseStream(c.Request.Context(), awsReq)
if err != nil {
return utils.WrapErr(errors.Wrap(err, "InvokeModelWithResponseStream")), nil
}
stream := awsResp.GetStream()
defer stream.Close()
c.Writer.Header().Set("Content-Type", "text/event-stream")
var usage relaymodel.Usage
c.Stream(func(w io.Writer) bool {
event, ok := <-stream.Events()
if !ok {
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
return false
}
switch v := event.(type) {
case *types.ResponseStreamMemberChunk:
var llamaResp StreamResponse
err := json.NewDecoder(bytes.NewReader(v.Value.Bytes)).Decode(&llamaResp)
if err != nil {
logger.SysError("error unmarshalling stream response: " + err.Error())
return false
}
if llamaResp.PromptTokenCount > 0 {
usage.PromptTokens = llamaResp.PromptTokenCount
}
if llamaResp.StopReason == "stop" {
usage.CompletionTokens = llamaResp.GenerationTokenCount
usage.TotalTokens = usage.PromptTokens + usage.CompletionTokens
}
response := StreamResponseLlama2OpenAI(&llamaResp)
response.Id = fmt.Sprintf("chatcmpl-%s", random.GetUUID())
response.Model = c.GetString(ctxkey.OriginalModel)
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 *types.UnknownUnionMember:
fmt.Println("unknown tag:", v.Tag)
return false
default:
fmt.Println("union is nil or unknown type")
return false
}
})
return nil, &usage
}
func StreamResponseLlama2OpenAI(llamaResponse *StreamResponse) *openai.ChatCompletionsStreamResponse {
var choice openai.ChatCompletionsStreamResponseChoice
choice.Delta.Content = llamaResponse.Generation
choice.Delta.Role = "assistant"
finishReason := llamaResponse.StopReason
if finishReason != "null" {
choice.FinishReason = &finishReason
}
var openaiResponse openai.ChatCompletionsStreamResponse
openaiResponse.Object = "chat.completion.chunk"
openaiResponse.Choices = []openai.ChatCompletionsStreamResponseChoice{choice}
return &openaiResponse
}

View File

@@ -0,0 +1,45 @@
package aws_test
import (
"testing"
aws "github.com/songquanpeng/one-api/relay/adaptor/aws/llama3"
relaymodel "github.com/songquanpeng/one-api/relay/model"
"github.com/stretchr/testify/assert"
)
func TestRenderPrompt(t *testing.T) {
messages := []relaymodel.Message{
{
Role: "user",
Content: "What's your name?",
},
}
prompt := aws.RenderPrompt(messages)
expected := `<|begin_of_text|><|start_header_id|>user<|end_header_id|>What's your name?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
`
assert.Equal(t, expected, prompt)
messages = []relaymodel.Message{
{
Role: "system",
Content: "Your name is Kat. You are a detective.",
},
{
Role: "user",
Content: "What's your name?",
},
{
Role: "assistant",
Content: "Kat",
},
{
Role: "user",
Content: "What's your job?",
},
}
prompt = aws.RenderPrompt(messages)
expected = `<|begin_of_text|><|start_header_id|>system<|end_header_id|>Your name is Kat. You are a detective.<|eot_id|><|start_header_id|>user<|end_header_id|>What's your name?<|eot_id|><|start_header_id|>assistant<|end_header_id|>Kat<|eot_id|><|start_header_id|>user<|end_header_id|>What's your job?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
`
assert.Equal(t, expected, prompt)
}

View File

@@ -0,0 +1,29 @@
package aws
// Request is the request to AWS Llama3
//
// https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-meta.html
type Request struct {
Prompt string `json:"prompt"`
MaxGenLen int `json:"max_gen_len,omitempty"`
Temperature float64 `json:"temperature,omitempty"`
TopP float64 `json:"top_p,omitempty"`
}
// Response is the response from AWS Llama3
//
// https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-meta.html
type Response struct {
Generation string `json:"generation"`
PromptTokenCount int `json:"prompt_token_count"`
GenerationTokenCount int `json:"generation_token_count"`
StopReason string `json:"stop_reason"`
}
// {'generation': 'Hi', 'prompt_token_count': 15, 'generation_token_count': 1, 'stop_reason': None}
type StreamResponse struct {
Generation string `json:"generation"`
PromptTokenCount int `json:"prompt_token_count"`
GenerationTokenCount int `json:"generation_token_count"`
StopReason string `json:"stop_reason"`
}

View File

@@ -0,0 +1,39 @@
package aws
import (
claude "github.com/songquanpeng/one-api/relay/adaptor/aws/claude"
llama3 "github.com/songquanpeng/one-api/relay/adaptor/aws/llama3"
"github.com/songquanpeng/one-api/relay/adaptor/aws/utils"
)
type AwsModelType int
const (
AwsClaude AwsModelType = iota + 1
AwsLlama3
)
var (
adaptors = map[string]AwsModelType{}
)
func init() {
for model := range claude.AwsModelIDMap {
adaptors[model] = AwsClaude
}
for model := range llama3.AwsModelIDMap {
adaptors[model] = AwsLlama3
}
}
func GetAdaptor(model string) utils.AwsAdapter {
adaptorType := adaptors[model]
switch adaptorType {
case AwsClaude:
return &claude.Adaptor{}
case AwsLlama3:
return &llama3.Adaptor{}
default:
return nil
}
}

View File

@@ -0,0 +1,51 @@
package utils
import (
"errors"
"io"
"net/http"
"github.com/aws/aws-sdk-go-v2/aws"
"github.com/aws/aws-sdk-go-v2/credentials"
"github.com/aws/aws-sdk-go-v2/service/bedrockruntime"
"github.com/gin-gonic/gin"
"github.com/songquanpeng/one-api/relay/meta"
"github.com/songquanpeng/one-api/relay/model"
)
type AwsAdapter interface {
ConvertRequest(c *gin.Context, relayMode int, request *model.GeneralOpenAIRequest) (any, error)
DoResponse(c *gin.Context, awsCli *bedrockruntime.Client, meta *meta.Meta) (usage *model.Usage, err *model.ErrorWithStatusCode)
}
type Adaptor struct {
Meta *meta.Meta
AwsClient *bedrockruntime.Client
}
func (a *Adaptor) Init(meta *meta.Meta) {
a.Meta = meta
a.AwsClient = bedrockruntime.New(bedrockruntime.Options{
Region: meta.Config.Region,
Credentials: aws.NewCredentialsCache(credentials.NewStaticCredentialsProvider(meta.Config.AK, meta.Config.SK, "")),
})
}
func (a *Adaptor) GetRequestURL(meta *meta.Meta) (string, error) {
return "", nil
}
func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Request, meta *meta.Meta) error {
return nil
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}
return request, nil
}
func (a *Adaptor) DoRequest(c *gin.Context, meta *meta.Meta, requestBody io.Reader) (*http.Response, error) {
return nil, nil
}

View File

@@ -0,0 +1,16 @@
package utils
import (
"net/http"
relaymodel "github.com/songquanpeng/one-api/relay/model"
)
func WrapErr(err error) *relaymodel.ErrorWithStatusCode {
return &relaymodel.ErrorWithStatusCode{
StatusCode: http.StatusInternalServerError,
Error: relaymodel.Error{
Message: err.Error(),
},
}
}

View File

@@ -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

View File

@@ -5,11 +5,13 @@ import (
"fmt"
"io"
"net/http"
"strings"
"github.com/gin-gonic/gin"
"github.com/songquanpeng/one-api/relay/adaptor"
"github.com/songquanpeng/one-api/relay/meta"
"github.com/songquanpeng/one-api/relay/model"
"github.com/songquanpeng/one-api/relay/relaymode"
)
type Adaptor struct {
@@ -27,8 +29,33 @@ func (a *Adaptor) Init(meta *meta.Meta) {
a.meta = meta
}
// WorkerAI cannot be used across accounts with AIGateWay
// https://developers.cloudflare.com/ai-gateway/providers/workersai/#openai-compatible-endpoints
// https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/workers-ai
func (a *Adaptor) isAIGateWay(baseURL string) bool {
return strings.HasPrefix(baseURL, "https://gateway.ai.cloudflare.com") && strings.HasSuffix(baseURL, "/workers-ai")
}
func (a *Adaptor) GetRequestURL(meta *meta.Meta) (string, error) {
return fmt.Sprintf("%s/client/v4/accounts/%s/ai/run/%s", meta.BaseURL, meta.Config.UserID, meta.ActualModelName), nil
isAIGateWay := a.isAIGateWay(meta.BaseURL)
var urlPrefix string
if isAIGateWay {
urlPrefix = meta.BaseURL
} else {
urlPrefix = fmt.Sprintf("%s/client/v4/accounts/%s/ai", meta.BaseURL, meta.Config.UserID)
}
switch meta.Mode {
case relaymode.ChatCompletions:
return fmt.Sprintf("%s/v1/chat/completions", urlPrefix), nil
case relaymode.Embeddings:
return fmt.Sprintf("%s/v1/embeddings", urlPrefix), nil
default:
if isAIGateWay {
return fmt.Sprintf("%s/%s", urlPrefix, meta.ActualModelName), nil
}
return fmt.Sprintf("%s/run/%s", urlPrefix, meta.ActualModelName), nil
}
}
func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Request, meta *meta.Meta) error {
@@ -41,7 +68,14 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
if request == nil {
return nil, errors.New("request is nil")
}
return ConvertRequest(*request), nil
switch relayMode {
case relaymode.Completions:
return ConvertCompletionsRequest(*request), nil
case relaymode.ChatCompletions, relaymode.Embeddings:
return request, nil
default:
return nil, errors.New("not implemented")
}
}
func (a *Adaptor) DoRequest(c *gin.Context, meta *meta.Meta, requestBody io.Reader) (*http.Response, error) {

View File

@@ -2,12 +2,14 @@ package cloudflare
import (
"bufio"
"bytes"
"encoding/json"
"io"
"net/http"
"strings"
"github.com/songquanpeng/one-api/common/ctxkey"
"github.com/songquanpeng/one-api/common/render"
"github.com/gin-gonic/gin"
"github.com/songquanpeng/one-api/common"
"github.com/songquanpeng/one-api/common/helper"
@@ -16,114 +18,66 @@ import (
"github.com/songquanpeng/one-api/relay/model"
)
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
}
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,
Message: model.Message{
Role: "assistant",
Content: cloudflareResponse.Result.Response,
},
FinishReason: "stop",
func ConvertCompletionsRequest(textRequest model.GeneralOpenAIRequest) *Request {
p, _ := textRequest.Prompt.(string)
return &Request{
Prompt: p,
MaxTokens: textRequest.MaxTokens,
Stream: textRequest.Stream,
Temperature: textRequest.Temperature,
}
fullTextResponse := openai.TextResponse{
Object: "chat.completion",
Created: helper.GetTimestamp(),
Choices: []openai.TextResponseChoice{choice},
}
return &fullTextResponse
}
func StreamResponseCloudflare2OpenAI(cloudflareResponse *StreamResponse) *openai.ChatCompletionsStreamResponse {
var choice openai.ChatCompletionsStreamResponseChoice
choice.Delta.Content = cloudflareResponse.Response
choice.Delta.Role = "assistant"
openaiResponse := openai.ChatCompletionsStreamResponse{
Object: "chat.completion.chunk",
Choices: []openai.ChatCompletionsStreamResponseChoice{choice},
Created: helper.GetTimestamp(),
}
return &openaiResponse
}
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")
responseModel := c.GetString(ctxkey.OriginalModel)
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")
if data == "[DONE]" {
break
}
var response openai.ChatCompletionsStreamResponse
err := json.Unmarshal([]byte(data), &response)
if err != nil {
logger.SysError("error unmarshalling stream response: " + err.Error())
continue
}
for _, v := range response.Choices {
v.Delta.Role = "assistant"
responseText += v.Delta.StringContent()
}
response.Id = id
response.Model = modelName
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
}
@@ -137,22 +91,25 @@ func Handler(c *gin.Context, resp *http.Response, promptTokens int, modelName st
if err != nil {
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
}
var cloudflareResponse Response
err = json.Unmarshal(responseBody, &cloudflareResponse)
var response openai.TextResponse
err = json.Unmarshal(responseBody, &response)
if err != nil {
return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
}
fullTextResponse := ResponseCloudflare2OpenAI(&cloudflareResponse)
fullTextResponse.Model = modelName
usage := openai.ResponseText2Usage(cloudflareResponse.Result.Response, modelName, promptTokens)
fullTextResponse.Usage = *usage
fullTextResponse.Id = helper.GetResponseID(c)
jsonResponse, err := json.Marshal(fullTextResponse)
response.Model = modelName
var responseText string
for _, v := range response.Choices {
responseText += v.Message.Content.(string)
}
usage := openai.ResponseText2Usage(responseText, modelName, promptTokens)
response.Usage = *usage
response.Id = helper.GetResponseID(c)
jsonResponse, err := json.Marshal(response)
if err != nil {
return openai.ErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
}
c.Writer.Header().Set("Content-Type", "application/json")
c.Writer.WriteHeader(resp.StatusCode)
_, err = c.Writer.Write(jsonResponse)
_, _ = c.Writer.Write(jsonResponse)
return nil, usage
}

View File

@@ -1,25 +1,13 @@
package cloudflare
import "github.com/songquanpeng/one-api/relay/model"
type Request struct {
Lora string `json:"lora,omitempty"`
MaxTokens int `json:"max_tokens,omitempty"`
Prompt string `json:"prompt,omitempty"`
Raw bool `json:"raw,omitempty"`
Stream bool `json:"stream,omitempty"`
Temperature float64 `json:"temperature,omitempty"`
}
type Result struct {
Response string `json:"response"`
}
type Response struct {
Result Result `json:"result"`
Success bool `json:"success"`
Errors []string `json:"errors"`
Messages []string `json:"messages"`
}
type StreamResponse struct {
Response string `json:"response"`
Messages []model.Message `json:"messages,omitempty"`
Lora string `json:"lora,omitempty"`
MaxTokens int `json:"max_tokens,omitempty"`
Prompt string `json:"prompt,omitempty"`
Raw bool `json:"raw,omitempty"`
Stream bool `json:"stream,omitempty"`
Temperature float64 `json:"temperature,omitempty"`
}

View File

@@ -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
}

View File

@@ -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
}

View File

@@ -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
}

View File

@@ -0,0 +1,19 @@
package novita
// https://novita.ai/llm-api
var ModelList = []string{
"meta-llama/llama-3-8b-instruct",
"meta-llama/llama-3-70b-instruct",
"nousresearch/hermes-2-pro-llama-3-8b",
"nousresearch/nous-hermes-llama2-13b",
"mistralai/mistral-7b-instruct",
"cognitivecomputations/dolphin-mixtral-8x22b",
"sao10k/l3-70b-euryale-v2.1",
"sophosympatheia/midnight-rose-70b",
"gryphe/mythomax-l2-13b",
"Nous-Hermes-2-Mixtral-8x7B-DPO",
"lzlv_70b",
"teknium/openhermes-2.5-mistral-7b",
"microsoft/wizardlm-2-8x22b",
}

View File

@@ -0,0 +1,15 @@
package novita
import (
"fmt"
"github.com/songquanpeng/one-api/relay/meta"
"github.com/songquanpeng/one-api/relay/relaymode"
)
func GetRequestURL(meta *meta.Meta) (string, error) {
if meta.Mode == relaymode.ChatCompletions {
return fmt.Sprintf("%s/chat/completions", meta.BaseURL), nil
}
return "", fmt.Errorf("unsupported relay mode %d for novita", meta.Mode)
}

View File

@@ -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
}

View File

@@ -3,17 +3,19 @@ package openai
import (
"errors"
"fmt"
"io"
"net/http"
"strings"
"github.com/gin-gonic/gin"
"github.com/songquanpeng/one-api/relay/adaptor"
"github.com/songquanpeng/one-api/relay/adaptor/doubao"
"github.com/songquanpeng/one-api/relay/adaptor/minimax"
"github.com/songquanpeng/one-api/relay/adaptor/novita"
"github.com/songquanpeng/one-api/relay/channeltype"
"github.com/songquanpeng/one-api/relay/meta"
"github.com/songquanpeng/one-api/relay/model"
"github.com/songquanpeng/one-api/relay/relaymode"
"io"
"net/http"
"strings"
)
type Adaptor struct {
@@ -48,6 +50,8 @@ func (a *Adaptor) GetRequestURL(meta *meta.Meta) (string, error) {
return minimax.GetRequestURL(meta)
case channeltype.Doubao:
return doubao.GetRequestURL(meta)
case channeltype.Novita:
return novita.GetRequestURL(meta)
default:
return GetFullRequestURL(meta.BaseURL, meta.RequestURLPath, meta.ChannelType), nil
}

View File

@@ -10,6 +10,7 @@ import (
"github.com/songquanpeng/one-api/relay/adaptor/minimax"
"github.com/songquanpeng/one-api/relay/adaptor/mistral"
"github.com/songquanpeng/one-api/relay/adaptor/moonshot"
"github.com/songquanpeng/one-api/relay/adaptor/novita"
"github.com/songquanpeng/one-api/relay/adaptor/stepfun"
"github.com/songquanpeng/one-api/relay/adaptor/togetherai"
"github.com/songquanpeng/one-api/relay/channeltype"
@@ -28,6 +29,7 @@ var CompatibleChannels = []int{
channeltype.StepFun,
channeltype.DeepSeek,
channeltype.TogetherAI,
channeltype.Novita,
}
func GetCompatibleChannelMeta(channelType int) (string, []string) {
@@ -56,6 +58,8 @@ func GetCompatibleChannelMeta(channelType int) (string, []string) {
return "together.ai", togetherai.ModelList
case channeltype.Doubao:
return "doubao", doubao.ModelList
case channeltype.Novita:
return "novita", novita.ModelList
default:
return "openai", ModelList
}

View File

@@ -4,15 +4,18 @@ import (
"bufio"
"bytes"
"encoding/json"
"io"
"net/http"
"strings"
"github.com/songquanpeng/one-api/common/render"
"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 +27,72 @@ 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
doneRendered := 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)
doneRendered = true
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())
}
if !doneRendered {
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 +136,7 @@ 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)

View File

@@ -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
}

View File

@@ -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
}

View File

@@ -6,4 +6,5 @@ var ModelList = []string{
"SparkDesk-v2.1",
"SparkDesk-v3.1",
"SparkDesk-v3.5",
"SparkDesk-v4.0",
}

View File

@@ -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
}

View File

@@ -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
}

View File

@@ -2,6 +2,7 @@ package ratio
import (
"encoding/json"
"fmt"
"strings"
"github.com/songquanpeng/one-api/common/logger"
@@ -70,12 +71,13 @@ 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 +126,7 @@ 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
@@ -167,6 +170,9 @@ var ModelRatio = map[string]float64{
"step-1v-32k": 0.024 * RMB,
"step-1-32k": 0.024 * RMB,
"step-1-200k": 0.15 * RMB,
// aws llama3 https://aws.amazon.com/cn/bedrock/pricing/
"llama3-8b-8192(33)": 0.0003 / 0.002, // $0.0003 / 1K tokens
"llama3-70b-8192(33)": 0.00265 / 0.002, // $0.00265 / 1K tokens
// https://cohere.com/pricing
"command": 0.5,
"command-nightly": 0.5,
@@ -183,7 +189,11 @@ var ModelRatio = map[string]float64{
"deepl-ja": 25.0 / 1000 * USD,
}
var CompletionRatio = map[string]float64{}
var CompletionRatio = map[string]float64{
// aws llama3
"llama3-8b-8192(33)": 0.0006 / 0.0003,
"llama3-70b-8192(33)": 0.0035 / 0.00265,
}
var DefaultModelRatio map[string]float64
var DefaultCompletionRatio map[string]float64
@@ -232,22 +242,28 @@ func UpdateModelRatioByJSONString(jsonStr string) error {
return json.Unmarshal([]byte(jsonStr), &ModelRatio)
}
func GetModelRatio(name string) float64 {
func GetModelRatio(name string, channelType int) float64 {
if strings.HasPrefix(name, "qwen-") && strings.HasSuffix(name, "-internet") {
name = strings.TrimSuffix(name, "-internet")
}
if strings.HasPrefix(name, "command-") && strings.HasSuffix(name, "-internet") {
name = strings.TrimSuffix(name, "-internet")
}
ratio, ok := ModelRatio[name]
if !ok {
ratio, ok = DefaultModelRatio[name]
model := fmt.Sprintf("%s(%d)", name, channelType)
if ratio, ok := ModelRatio[model]; ok {
return ratio
}
if !ok {
logger.SysError("model ratio not found: " + name)
return 30
if ratio, ok := DefaultModelRatio[model]; ok {
return ratio
}
return ratio
if ratio, ok := ModelRatio[name]; ok {
return ratio
}
if ratio, ok := DefaultModelRatio[name]; ok {
return ratio
}
logger.SysError("model ratio not found: " + name)
return 30
}
func CompletionRatio2JSONString() string {
@@ -263,7 +279,17 @@ func UpdateCompletionRatioByJSONString(jsonStr string) error {
return json.Unmarshal([]byte(jsonStr), &CompletionRatio)
}
func GetCompletionRatio(name string) float64 {
func GetCompletionRatio(name string, channelType int) float64 {
if strings.HasPrefix(name, "qwen-") && strings.HasSuffix(name, "-internet") {
name = strings.TrimSuffix(name, "-internet")
}
model := fmt.Sprintf("%s(%d)", name, channelType)
if ratio, ok := CompletionRatio[model]; ok {
return ratio
}
if ratio, ok := DefaultCompletionRatio[model]; ok {
return ratio
}
if ratio, ok := CompletionRatio[name]; ok {
return ratio
}

View File

@@ -42,5 +42,6 @@ const (
DeepL
TogetherAI
Doubao
Novita
Dummy
)

View File

@@ -42,6 +42,7 @@ var ChannelBaseURLs = []string{
"https://api-free.deepl.com", // 38
"https://api.together.xyz", // 39
"https://ark.cn-beijing.volces.com", // 40
"https://api.novita.ai/v3/openai", // 41
}
func init() {

View File

@@ -7,6 +7,10 @@ import (
"encoding/json"
"errors"
"fmt"
"io"
"net/http"
"strings"
"github.com/gin-gonic/gin"
"github.com/songquanpeng/one-api/common"
"github.com/songquanpeng/one-api/common/client"
@@ -21,9 +25,6 @@ import (
"github.com/songquanpeng/one-api/relay/meta"
relaymodel "github.com/songquanpeng/one-api/relay/model"
"github.com/songquanpeng/one-api/relay/relaymode"
"io"
"net/http"
"strings"
)
func RelayAudioHelper(c *gin.Context, relayMode int) *relaymodel.ErrorWithStatusCode {
@@ -53,7 +54,7 @@ func RelayAudioHelper(c *gin.Context, relayMode int) *relaymodel.ErrorWithStatus
}
}
modelRatio := billingratio.GetModelRatio(audioModel)
modelRatio := billingratio.GetModelRatio(audioModel, channelType)
groupRatio := billingratio.GetGroupRatio(group)
ratio := modelRatio * groupRatio
var quota int64

View File

@@ -4,6 +4,10 @@ import (
"context"
"errors"
"fmt"
"math"
"net/http"
"strings"
"github.com/gin-gonic/gin"
"github.com/songquanpeng/one-api/common"
"github.com/songquanpeng/one-api/common/config"
@@ -16,9 +20,6 @@ import (
"github.com/songquanpeng/one-api/relay/meta"
relaymodel "github.com/songquanpeng/one-api/relay/model"
"github.com/songquanpeng/one-api/relay/relaymode"
"math"
"net/http"
"strings"
)
func getAndValidateTextRequest(c *gin.Context, relayMode int) (*relaymodel.GeneralOpenAIRequest, error) {
@@ -40,78 +41,6 @@ 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:
@@ -167,7 +96,7 @@ func postConsumeQuota(ctx context.Context, usage *relaymodel.Usage, meta *meta.M
return
}
var quota int64
completionRatio := billingratio.GetCompletionRatio(textRequest.Model)
completionRatio := billingratio.GetCompletionRatio(textRequest.Model, meta.ChannelType)
promptTokens := usage.PromptTokens
completionTokens := usage.CompletionTokens
quota = int64(math.Ceil((float64(promptTokens) + float64(completionTokens)*completionRatio) * ratio))

View File

@@ -11,6 +11,7 @@ import (
"strings"
"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"
@@ -22,13 +23,84 @@ import (
relaymodel "github.com/songquanpeng/one-api/relay/model"
)
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 {
@@ -97,7 +169,7 @@ func RelayImageHelper(c *gin.Context, relayMode int) *relaymodel.ErrorWithStatus
requestBody = bytes.NewBuffer(jsonStr)
}
modelRatio := billingratio.GetModelRatio(imageModel)
modelRatio := billingratio.GetModelRatio(imageModel, meta.ChannelType)
groupRatio := billingratio.GetGroupRatio(meta.Group)
ratio := modelRatio * groupRatio
userQuota, err := model.CacheGetUserQuota(ctx, meta.UserId)

View File

@@ -4,6 +4,9 @@ import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
"github.com/gin-gonic/gin"
"github.com/songquanpeng/one-api/common/logger"
"github.com/songquanpeng/one-api/relay"
@@ -14,8 +17,6 @@ import (
"github.com/songquanpeng/one-api/relay/channeltype"
"github.com/songquanpeng/one-api/relay/meta"
"github.com/songquanpeng/one-api/relay/model"
"io"
"net/http"
)
func RelayTextHelper(c *gin.Context) *model.ErrorWithStatusCode {
@@ -35,7 +36,7 @@ func RelayTextHelper(c *gin.Context) *model.ErrorWithStatusCode {
textRequest.Model, isModelMapped = getMappedModelName(textRequest.Model, meta.ModelMapping)
meta.ActualModelName = textRequest.Model
// get model ratio & group ratio
modelRatio := billingratio.GetModelRatio(textRequest.Model)
modelRatio := billingratio.GetModelRatio(textRequest.Model, meta.ChannelType)
groupRatio := billingratio.GetGroupRatio(meta.Group)
ratio := modelRatio * groupRatio
// pre-consume quota

View File

@@ -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 {

View File

@@ -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
}