mirror of
https://github.com/songquanpeng/one-api.git
synced 2025-11-11 10:53:42 +08:00
Merge remote-tracking branch 'remotes/origin_songquanpeng/main'
# Conflicts: # relay/adaptor/openai/adaptor.go # relay/controller/text.go
This commit is contained in:
@@ -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
|
||||
}
|
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data = data[5:]
|
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dataChan <- data
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}
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||||
stopChan <- true
|
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}()
|
||||
|
||||
common.SetEventStreamHeaders(c)
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var documents []LibraryDocument
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
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||||
case data := <-dataChan:
|
||||
var AIProxyLibraryResponse LibraryStreamResponse
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||||
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)})
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||||
return true
|
||||
case <-stopChan:
|
||||
response := documentsAIProxyLibrary(documents)
|
||||
jsonResponse, err := json.Marshal(response)
|
||||
if err != nil {
|
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logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
|
||||
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
|
||||
return false
|
||||
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 5 || data[:5] != "data:" {
|
||||
continue
|
||||
}
|
||||
})
|
||||
err := resp.Body.Close()
|
||||
data = data[5:]
|
||||
|
||||
var AIProxyLibraryResponse LibraryStreamResponse
|
||||
err := json.Unmarshal([]byte(data), &AIProxyLibraryResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
continue
|
||||
}
|
||||
if len(AIProxyLibraryResponse.Documents) != 0 {
|
||||
documents = AIProxyLibraryResponse.Documents
|
||||
}
|
||||
response := streamResponseAIProxyLibrary2OpenAI(&AIProxyLibraryResponse)
|
||||
err = render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError(err.Error())
|
||||
}
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
logger.SysError("error reading stream: " + err.Error())
|
||||
}
|
||||
|
||||
response := documentsAIProxyLibrary(documents)
|
||||
err := render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError(err.Error())
|
||||
}
|
||||
render.Done(c)
|
||||
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
|
||||
return nil, &usage
|
||||
}
|
||||
|
||||
|
||||
@@ -3,15 +3,17 @@ package ali
|
||||
import (
|
||||
"bufio"
|
||||
"encoding/json"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/songquanpeng/one-api/common"
|
||||
"github.com/songquanpeng/one-api/common/helper"
|
||||
"github.com/songquanpeng/one-api/common/logger"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/openai"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
)
|
||||
|
||||
// https://help.aliyun.com/document_detail/613695.html?spm=a2c4g.2399480.0.0.1adb778fAdzP9w#341800c0f8w0r
|
||||
@@ -181,56 +183,43 @@ func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusC
|
||||
}
|
||||
return 0, nil, nil
|
||||
})
|
||||
dataChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
go func() {
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 5 { // ignore blank line or wrong format
|
||||
continue
|
||||
}
|
||||
if data[:5] != "data:" {
|
||||
continue
|
||||
}
|
||||
data = data[5:]
|
||||
dataChan <- data
|
||||
}
|
||||
stopChan <- true
|
||||
}()
|
||||
|
||||
common.SetEventStreamHeaders(c)
|
||||
//lastResponseText := ""
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
|
||||
case data := <-dataChan:
|
||||
var aliResponse ChatResponse
|
||||
err := json.Unmarshal([]byte(data), &aliResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
if aliResponse.Usage.OutputTokens != 0 {
|
||||
usage.PromptTokens = aliResponse.Usage.InputTokens
|
||||
usage.CompletionTokens = aliResponse.Usage.OutputTokens
|
||||
usage.TotalTokens = aliResponse.Usage.InputTokens + aliResponse.Usage.OutputTokens
|
||||
}
|
||||
response := streamResponseAli2OpenAI(&aliResponse)
|
||||
if response == nil {
|
||||
return true
|
||||
}
|
||||
//response.Choices[0].Delta.Content = strings.TrimPrefix(response.Choices[0].Delta.Content, lastResponseText)
|
||||
//lastResponseText = aliResponse.Output.Text
|
||||
jsonResponse, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
|
||||
return true
|
||||
case <-stopChan:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
|
||||
return false
|
||||
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 5 || data[:5] != "data:" {
|
||||
continue
|
||||
}
|
||||
})
|
||||
data = data[5:]
|
||||
|
||||
var aliResponse ChatResponse
|
||||
err := json.Unmarshal([]byte(data), &aliResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
continue
|
||||
}
|
||||
if aliResponse.Usage.OutputTokens != 0 {
|
||||
usage.PromptTokens = aliResponse.Usage.InputTokens
|
||||
usage.CompletionTokens = aliResponse.Usage.OutputTokens
|
||||
usage.TotalTokens = aliResponse.Usage.InputTokens + aliResponse.Usage.OutputTokens
|
||||
}
|
||||
response := streamResponseAli2OpenAI(&aliResponse)
|
||||
if response == nil {
|
||||
continue
|
||||
}
|
||||
err = render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError(err.Error())
|
||||
}
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
logger.SysError("error reading stream: " + err.Error())
|
||||
}
|
||||
|
||||
render.Done(c)
|
||||
|
||||
err := resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
|
||||
@@ -3,12 +3,14 @@ package anthropic
|
||||
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/meta"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
"io"
|
||||
"net/http"
|
||||
)
|
||||
|
||||
type Adaptor struct {
|
||||
@@ -31,6 +33,13 @@ func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Request, meta *me
|
||||
}
|
||||
req.Header.Set("anthropic-version", anthropicVersion)
|
||||
req.Header.Set("anthropic-beta", "messages-2023-12-15")
|
||||
|
||||
// https://x.com/alexalbert__/status/1812921642143900036
|
||||
// claude-3-5-sonnet can support 8k context
|
||||
if strings.HasPrefix(meta.ActualModelName, "claude-3-5-sonnet") {
|
||||
req.Header.Set("anthropic-beta", "max-tokens-3-5-sonnet-2024-07-15")
|
||||
}
|
||||
|
||||
return nil
|
||||
}
|
||||
|
||||
|
||||
@@ -5,4 +5,5 @@ var ModelList = []string{
|
||||
"claude-3-haiku-20240307",
|
||||
"claude-3-sonnet-20240229",
|
||||
"claude-3-opus-20240229",
|
||||
"claude-3-5-sonnet-20240620",
|
||||
}
|
||||
|
||||
@@ -4,6 +4,7 @@ import (
|
||||
"bufio"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
@@ -28,12 +29,30 @@ func stopReasonClaude2OpenAI(reason *string) string {
|
||||
return "stop"
|
||||
case "max_tokens":
|
||||
return "length"
|
||||
case "tool_use":
|
||||
return "tool_calls"
|
||||
default:
|
||||
return *reason
|
||||
}
|
||||
}
|
||||
|
||||
func ConvertRequest(textRequest model.GeneralOpenAIRequest) *Request {
|
||||
claudeTools := make([]Tool, 0, len(textRequest.Tools))
|
||||
|
||||
for _, tool := range textRequest.Tools {
|
||||
if params, ok := tool.Function.Parameters.(map[string]any); ok {
|
||||
claudeTools = append(claudeTools, Tool{
|
||||
Name: tool.Function.Name,
|
||||
Description: tool.Function.Description,
|
||||
InputSchema: InputSchema{
|
||||
Type: params["type"].(string),
|
||||
Properties: params["properties"],
|
||||
Required: params["required"],
|
||||
},
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
claudeRequest := Request{
|
||||
Model: textRequest.Model,
|
||||
MaxTokens: textRequest.MaxTokens,
|
||||
@@ -41,6 +60,24 @@ func ConvertRequest(textRequest model.GeneralOpenAIRequest) *Request {
|
||||
TopP: textRequest.TopP,
|
||||
TopK: textRequest.TopK,
|
||||
Stream: textRequest.Stream,
|
||||
Tools: claudeTools,
|
||||
}
|
||||
if len(claudeTools) > 0 {
|
||||
claudeToolChoice := struct {
|
||||
Type string `json:"type"`
|
||||
Name string `json:"name,omitempty"`
|
||||
}{Type: "auto"} // default value https://docs.anthropic.com/en/docs/build-with-claude/tool-use#controlling-claudes-output
|
||||
if choice, ok := textRequest.ToolChoice.(map[string]any); ok {
|
||||
if function, ok := choice["function"].(map[string]any); ok {
|
||||
claudeToolChoice.Type = "tool"
|
||||
claudeToolChoice.Name = function["name"].(string)
|
||||
}
|
||||
} else if toolChoiceType, ok := textRequest.ToolChoice.(string); ok {
|
||||
if toolChoiceType == "any" {
|
||||
claudeToolChoice.Type = toolChoiceType
|
||||
}
|
||||
}
|
||||
claudeRequest.ToolChoice = claudeToolChoice
|
||||
}
|
||||
if claudeRequest.MaxTokens == 0 {
|
||||
claudeRequest.MaxTokens = 4096
|
||||
@@ -63,7 +100,24 @@ func ConvertRequest(textRequest model.GeneralOpenAIRequest) *Request {
|
||||
if message.IsStringContent() {
|
||||
content.Type = "text"
|
||||
content.Text = message.StringContent()
|
||||
if message.Role == "tool" {
|
||||
claudeMessage.Role = "user"
|
||||
content.Type = "tool_result"
|
||||
content.Content = content.Text
|
||||
content.Text = ""
|
||||
content.ToolUseId = message.ToolCallId
|
||||
}
|
||||
claudeMessage.Content = append(claudeMessage.Content, content)
|
||||
for i := range message.ToolCalls {
|
||||
inputParam := make(map[string]any)
|
||||
_ = json.Unmarshal([]byte(message.ToolCalls[i].Function.Arguments.(string)), &inputParam)
|
||||
claudeMessage.Content = append(claudeMessage.Content, Content{
|
||||
Type: "tool_use",
|
||||
Id: message.ToolCalls[i].Id,
|
||||
Name: message.ToolCalls[i].Function.Name,
|
||||
Input: inputParam,
|
||||
})
|
||||
}
|
||||
claudeRequest.Messages = append(claudeRequest.Messages, claudeMessage)
|
||||
continue
|
||||
}
|
||||
@@ -96,16 +150,35 @@ func StreamResponseClaude2OpenAI(claudeResponse *StreamResponse) (*openai.ChatCo
|
||||
var response *Response
|
||||
var responseText string
|
||||
var stopReason string
|
||||
tools := make([]model.Tool, 0)
|
||||
|
||||
switch claudeResponse.Type {
|
||||
case "message_start":
|
||||
return nil, claudeResponse.Message
|
||||
case "content_block_start":
|
||||
if claudeResponse.ContentBlock != nil {
|
||||
responseText = claudeResponse.ContentBlock.Text
|
||||
if claudeResponse.ContentBlock.Type == "tool_use" {
|
||||
tools = append(tools, model.Tool{
|
||||
Id: claudeResponse.ContentBlock.Id,
|
||||
Type: "function",
|
||||
Function: model.Function{
|
||||
Name: claudeResponse.ContentBlock.Name,
|
||||
Arguments: "",
|
||||
},
|
||||
})
|
||||
}
|
||||
}
|
||||
case "content_block_delta":
|
||||
if claudeResponse.Delta != nil {
|
||||
responseText = claudeResponse.Delta.Text
|
||||
if claudeResponse.Delta.Type == "input_json_delta" {
|
||||
tools = append(tools, model.Tool{
|
||||
Function: model.Function{
|
||||
Arguments: claudeResponse.Delta.PartialJson,
|
||||
},
|
||||
})
|
||||
}
|
||||
}
|
||||
case "message_delta":
|
||||
if claudeResponse.Usage != nil {
|
||||
@@ -119,6 +192,10 @@ func StreamResponseClaude2OpenAI(claudeResponse *StreamResponse) (*openai.ChatCo
|
||||
}
|
||||
var choice openai.ChatCompletionsStreamResponseChoice
|
||||
choice.Delta.Content = responseText
|
||||
if len(tools) > 0 {
|
||||
choice.Delta.Content = nil // compatible with other OpenAI derivative applications, like LobeOpenAICompatibleFactory ...
|
||||
choice.Delta.ToolCalls = tools
|
||||
}
|
||||
choice.Delta.Role = "assistant"
|
||||
finishReason := stopReasonClaude2OpenAI(&stopReason)
|
||||
if finishReason != "null" {
|
||||
@@ -135,12 +212,27 @@ func ResponseClaude2OpenAI(claudeResponse *Response) *openai.TextResponse {
|
||||
if len(claudeResponse.Content) > 0 {
|
||||
responseText = claudeResponse.Content[0].Text
|
||||
}
|
||||
tools := make([]model.Tool, 0)
|
||||
for _, v := range claudeResponse.Content {
|
||||
if v.Type == "tool_use" {
|
||||
args, _ := json.Marshal(v.Input)
|
||||
tools = append(tools, model.Tool{
|
||||
Id: v.Id,
|
||||
Type: "function", // compatible with other OpenAI derivative applications
|
||||
Function: model.Function{
|
||||
Name: v.Name,
|
||||
Arguments: string(args),
|
||||
},
|
||||
})
|
||||
}
|
||||
}
|
||||
choice := openai.TextResponseChoice{
|
||||
Index: 0,
|
||||
Message: model.Message{
|
||||
Role: "assistant",
|
||||
Content: responseText,
|
||||
Name: nil,
|
||||
Role: "assistant",
|
||||
Content: responseText,
|
||||
Name: nil,
|
||||
ToolCalls: tools,
|
||||
},
|
||||
FinishReason: stopReasonClaude2OpenAI(claudeResponse.StopReason),
|
||||
}
|
||||
@@ -169,64 +261,77 @@ func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusC
|
||||
}
|
||||
return 0, nil, nil
|
||||
})
|
||||
dataChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
go func() {
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 6 {
|
||||
continue
|
||||
}
|
||||
if !strings.HasPrefix(data, "data:") {
|
||||
continue
|
||||
}
|
||||
data = strings.TrimPrefix(data, "data:")
|
||||
dataChan <- data
|
||||
}
|
||||
stopChan <- true
|
||||
}()
|
||||
|
||||
common.SetEventStreamHeaders(c)
|
||||
|
||||
var usage model.Usage
|
||||
var modelName string
|
||||
var id string
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
|
||||
case data := <-dataChan:
|
||||
// some implementations may add \r at the end of data
|
||||
data = strings.TrimSpace(data)
|
||||
var claudeResponse StreamResponse
|
||||
err := json.Unmarshal([]byte(data), &claudeResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
response, meta := StreamResponseClaude2OpenAI(&claudeResponse)
|
||||
if meta != nil {
|
||||
usage.PromptTokens += meta.Usage.InputTokens
|
||||
usage.CompletionTokens += meta.Usage.OutputTokens
|
||||
var lastToolCallChoice openai.ChatCompletionsStreamResponseChoice
|
||||
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 6 || !strings.HasPrefix(data, "data:") {
|
||||
continue
|
||||
}
|
||||
data = strings.TrimPrefix(data, "data:")
|
||||
data = strings.TrimSpace(data)
|
||||
|
||||
var claudeResponse StreamResponse
|
||||
err := json.Unmarshal([]byte(data), &claudeResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
continue
|
||||
}
|
||||
|
||||
response, meta := StreamResponseClaude2OpenAI(&claudeResponse)
|
||||
if meta != nil {
|
||||
usage.PromptTokens += meta.Usage.InputTokens
|
||||
usage.CompletionTokens += meta.Usage.OutputTokens
|
||||
if len(meta.Id) > 0 { // only message_start has an id, otherwise it's a finish_reason event.
|
||||
modelName = meta.Model
|
||||
id = fmt.Sprintf("chatcmpl-%s", meta.Id)
|
||||
return true
|
||||
continue
|
||||
} else { // finish_reason case
|
||||
if len(lastToolCallChoice.Delta.ToolCalls) > 0 {
|
||||
lastArgs := &lastToolCallChoice.Delta.ToolCalls[len(lastToolCallChoice.Delta.ToolCalls)-1].Function
|
||||
if len(lastArgs.Arguments.(string)) == 0 { // compatible with OpenAI sending an empty object `{}` when no arguments.
|
||||
lastArgs.Arguments = "{}"
|
||||
response.Choices[len(response.Choices)-1].Delta.Content = nil
|
||||
response.Choices[len(response.Choices)-1].Delta.ToolCalls = lastToolCallChoice.Delta.ToolCalls
|
||||
}
|
||||
}
|
||||
}
|
||||
if response == nil {
|
||||
return true
|
||||
}
|
||||
response.Id = id
|
||||
response.Model = modelName
|
||||
response.Created = createdTime
|
||||
jsonStr, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonStr)})
|
||||
return true
|
||||
case <-stopChan:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
|
||||
return false
|
||||
}
|
||||
})
|
||||
_ = resp.Body.Close()
|
||||
if response == nil {
|
||||
continue
|
||||
}
|
||||
|
||||
response.Id = id
|
||||
response.Model = modelName
|
||||
response.Created = createdTime
|
||||
|
||||
for _, choice := range response.Choices {
|
||||
if len(choice.Delta.ToolCalls) > 0 {
|
||||
lastToolCallChoice = choice
|
||||
}
|
||||
}
|
||||
err = render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError(err.Error())
|
||||
}
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
logger.SysError("error reading stream: " + err.Error())
|
||||
}
|
||||
|
||||
render.Done(c)
|
||||
|
||||
err := resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
return nil, &usage
|
||||
}
|
||||
|
||||
|
||||
@@ -16,6 +16,12 @@ type Content struct {
|
||||
Type string `json:"type"`
|
||||
Text string `json:"text,omitempty"`
|
||||
Source *ImageSource `json:"source,omitempty"`
|
||||
// tool_calls
|
||||
Id string `json:"id,omitempty"`
|
||||
Name string `json:"name,omitempty"`
|
||||
Input any `json:"input,omitempty"`
|
||||
Content string `json:"content,omitempty"`
|
||||
ToolUseId string `json:"tool_use_id,omitempty"`
|
||||
}
|
||||
|
||||
type Message struct {
|
||||
@@ -23,6 +29,18 @@ type Message struct {
|
||||
Content []Content `json:"content"`
|
||||
}
|
||||
|
||||
type Tool struct {
|
||||
Name string `json:"name"`
|
||||
Description string `json:"description,omitempty"`
|
||||
InputSchema InputSchema `json:"input_schema"`
|
||||
}
|
||||
|
||||
type InputSchema struct {
|
||||
Type string `json:"type"`
|
||||
Properties any `json:"properties,omitempty"`
|
||||
Required any `json:"required,omitempty"`
|
||||
}
|
||||
|
||||
type Request struct {
|
||||
Model string `json:"model"`
|
||||
Messages []Message `json:"messages"`
|
||||
@@ -33,6 +51,8 @@ type Request struct {
|
||||
Temperature float64 `json:"temperature,omitempty"`
|
||||
TopP float64 `json:"top_p,omitempty"`
|
||||
TopK int `json:"top_k,omitempty"`
|
||||
Tools []Tool `json:"tools,omitempty"`
|
||||
ToolChoice any `json:"tool_choice,omitempty"`
|
||||
//Metadata `json:"metadata,omitempty"`
|
||||
}
|
||||
|
||||
@@ -61,6 +81,7 @@ type Response struct {
|
||||
type Delta struct {
|
||||
Type string `json:"type"`
|
||||
Text string `json:"text"`
|
||||
PartialJson string `json:"partial_json,omitempty"`
|
||||
StopReason *string `json:"stop_reason"`
|
||||
StopSequence *string `json:"stop_sequence"`
|
||||
}
|
||||
|
||||
@@ -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"
|
||||
}
|
||||
37
relay/adaptor/aws/claude/adapter.go
Normal file
37
relay/adaptor/aws/claude/adapter.go
Normal 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
|
||||
}
|
||||
@@ -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())
|
||||
@@ -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"`
|
||||
}
|
||||
37
relay/adaptor/aws/llama3/adapter.go
Normal file
37
relay/adaptor/aws/llama3/adapter.go
Normal 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
|
||||
}
|
||||
231
relay/adaptor/aws/llama3/main.go
Normal file
231
relay/adaptor/aws/llama3/main.go
Normal 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
|
||||
}
|
||||
45
relay/adaptor/aws/llama3/main_test.go
Normal file
45
relay/adaptor/aws/llama3/main_test.go
Normal 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)
|
||||
}
|
||||
29
relay/adaptor/aws/llama3/model.go
Normal file
29
relay/adaptor/aws/llama3/model.go
Normal 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"`
|
||||
}
|
||||
39
relay/adaptor/aws/registry.go
Normal file
39
relay/adaptor/aws/registry.go
Normal 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
|
||||
}
|
||||
}
|
||||
51
relay/adaptor/aws/utils/adaptor.go
Normal file
51
relay/adaptor/aws/utils/adaptor.go
Normal 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
|
||||
}
|
||||
16
relay/adaptor/aws/utils/utils.go
Normal file
16
relay/adaptor/aws/utils/utils.go
Normal 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(),
|
||||
},
|
||||
}
|
||||
}
|
||||
@@ -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
|
||||
|
||||
@@ -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) {
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
package cloudflare
|
||||
|
||||
var ModelList = []string{
|
||||
"@cf/meta/llama-3.1-8b-instruct",
|
||||
"@cf/meta/llama-2-7b-chat-fp16",
|
||||
"@cf/meta/llama-2-7b-chat-int8",
|
||||
"@cf/mistral/mistral-7b-instruct-v0.1",
|
||||
|
||||
@@ -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
|
||||
}
|
||||
|
||||
@@ -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"`
|
||||
}
|
||||
|
||||
@@ -2,9 +2,9 @@ package cohere
|
||||
|
||||
import (
|
||||
"bufio"
|
||||
"bytes"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
@@ -134,66 +134,53 @@ func ResponseCohere2OpenAI(cohereResponse *Response) *openai.TextResponse {
|
||||
func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusCode, *model.Usage) {
|
||||
createdTime := helper.GetTimestamp()
|
||||
scanner := bufio.NewScanner(resp.Body)
|
||||
scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
|
||||
if atEOF && len(data) == 0 {
|
||||
return 0, nil, nil
|
||||
}
|
||||
if i := bytes.IndexByte(data, '\n'); i >= 0 {
|
||||
return i + 1, data[0:i], nil
|
||||
}
|
||||
if atEOF {
|
||||
return len(data), data, nil
|
||||
}
|
||||
return 0, nil, nil
|
||||
})
|
||||
scanner.Split(bufio.ScanLines)
|
||||
|
||||
dataChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
go func() {
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
dataChan <- data
|
||||
}
|
||||
stopChan <- true
|
||||
}()
|
||||
common.SetEventStreamHeaders(c)
|
||||
var usage model.Usage
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
|
||||
case data := <-dataChan:
|
||||
// some implementations may add \r at the end of data
|
||||
data = strings.TrimSuffix(data, "\r")
|
||||
var cohereResponse StreamResponse
|
||||
err := json.Unmarshal([]byte(data), &cohereResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
response, meta := StreamResponseCohere2OpenAI(&cohereResponse)
|
||||
if meta != nil {
|
||||
usage.PromptTokens += meta.Meta.Tokens.InputTokens
|
||||
usage.CompletionTokens += meta.Meta.Tokens.OutputTokens
|
||||
return true
|
||||
}
|
||||
if response == nil {
|
||||
return true
|
||||
}
|
||||
response.Id = fmt.Sprintf("chatcmpl-%d", createdTime)
|
||||
response.Model = c.GetString("original_model")
|
||||
response.Created = createdTime
|
||||
jsonStr, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonStr)})
|
||||
return true
|
||||
case <-stopChan:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
|
||||
return false
|
||||
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
data = strings.TrimSuffix(data, "\r")
|
||||
|
||||
var cohereResponse StreamResponse
|
||||
err := json.Unmarshal([]byte(data), &cohereResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
continue
|
||||
}
|
||||
})
|
||||
_ = resp.Body.Close()
|
||||
|
||||
response, meta := StreamResponseCohere2OpenAI(&cohereResponse)
|
||||
if meta != nil {
|
||||
usage.PromptTokens += meta.Meta.Tokens.InputTokens
|
||||
usage.CompletionTokens += meta.Meta.Tokens.OutputTokens
|
||||
continue
|
||||
}
|
||||
if response == nil {
|
||||
continue
|
||||
}
|
||||
|
||||
response.Id = fmt.Sprintf("chatcmpl-%d", createdTime)
|
||||
response.Model = c.GetString("original_model")
|
||||
response.Created = createdTime
|
||||
|
||||
err = render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError(err.Error())
|
||||
}
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
logger.SysError("error reading stream: " + err.Error())
|
||||
}
|
||||
|
||||
render.Done(c)
|
||||
|
||||
err := resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
|
||||
return nil, &usage
|
||||
}
|
||||
|
||||
|
||||
@@ -4,6 +4,11 @@ import (
|
||||
"bufio"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/songquanpeng/one-api/common"
|
||||
"github.com/songquanpeng/one-api/common/conv"
|
||||
@@ -12,9 +17,6 @@ import (
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/coze/constant/messagetype"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/openai"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
)
|
||||
|
||||
// https://www.coze.com/open
|
||||
@@ -109,69 +111,54 @@ func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusC
|
||||
var responseText string
|
||||
createdTime := helper.GetTimestamp()
|
||||
scanner := bufio.NewScanner(resp.Body)
|
||||
scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
|
||||
if atEOF && len(data) == 0 {
|
||||
return 0, nil, nil
|
||||
}
|
||||
if i := strings.Index(string(data), "\n"); i >= 0 {
|
||||
return i + 1, data[0:i], nil
|
||||
}
|
||||
if atEOF {
|
||||
return len(data), data, nil
|
||||
}
|
||||
return 0, nil, nil
|
||||
})
|
||||
dataChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
go func() {
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 5 {
|
||||
continue
|
||||
}
|
||||
if !strings.HasPrefix(data, "data:") {
|
||||
continue
|
||||
}
|
||||
data = strings.TrimPrefix(data, "data:")
|
||||
dataChan <- data
|
||||
}
|
||||
stopChan <- true
|
||||
}()
|
||||
scanner.Split(bufio.ScanLines)
|
||||
|
||||
common.SetEventStreamHeaders(c)
|
||||
var modelName string
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
|
||||
case data := <-dataChan:
|
||||
// some implementations may add \r at the end of data
|
||||
data = strings.TrimSuffix(data, "\r")
|
||||
var cozeResponse StreamResponse
|
||||
err := json.Unmarshal([]byte(data), &cozeResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
response, _ := StreamResponseCoze2OpenAI(&cozeResponse)
|
||||
if response == nil {
|
||||
return true
|
||||
}
|
||||
for _, choice := range response.Choices {
|
||||
responseText += conv.AsString(choice.Delta.Content)
|
||||
}
|
||||
response.Model = modelName
|
||||
response.Created = createdTime
|
||||
jsonStr, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
logger.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonStr)})
|
||||
return true
|
||||
case <-stopChan:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
|
||||
return false
|
||||
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 5 || !strings.HasPrefix(data, "data:") {
|
||||
continue
|
||||
}
|
||||
})
|
||||
_ = resp.Body.Close()
|
||||
data = strings.TrimPrefix(data, "data:")
|
||||
data = strings.TrimSuffix(data, "\r")
|
||||
|
||||
var cozeResponse StreamResponse
|
||||
err := json.Unmarshal([]byte(data), &cozeResponse)
|
||||
if err != nil {
|
||||
logger.SysError("error unmarshalling stream response: " + err.Error())
|
||||
continue
|
||||
}
|
||||
|
||||
response, _ := StreamResponseCoze2OpenAI(&cozeResponse)
|
||||
if response == nil {
|
||||
continue
|
||||
}
|
||||
|
||||
for _, choice := range response.Choices {
|
||||
responseText += conv.AsString(choice.Delta.Content)
|
||||
}
|
||||
response.Model = modelName
|
||||
response.Created = createdTime
|
||||
|
||||
err = render.ObjectData(c, response)
|
||||
if err != nil {
|
||||
logger.SysError(err.Error())
|
||||
}
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
logger.SysError("error reading stream: " + err.Error())
|
||||
}
|
||||
|
||||
render.Done(c)
|
||||
|
||||
err := resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
|
||||
return nil, &responseText
|
||||
}
|
||||
|
||||
|
||||
@@ -7,8 +7,12 @@ import (
|
||||
)
|
||||
|
||||
func GetRequestURL(meta *meta.Meta) (string, error) {
|
||||
if meta.Mode == relaymode.ChatCompletions {
|
||||
switch meta.Mode {
|
||||
case relaymode.ChatCompletions:
|
||||
return fmt.Sprintf("%s/api/v3/chat/completions", meta.BaseURL), nil
|
||||
case relaymode.Embeddings:
|
||||
return fmt.Sprintf("%s/api/v3/embeddings", meta.BaseURL), nil
|
||||
default:
|
||||
}
|
||||
return "", fmt.Errorf("unsupported relay mode %d for doubao", meta.Mode)
|
||||
}
|
||||
|
||||
@@ -3,6 +3,5 @@ package gemini
|
||||
// https://ai.google.dev/models/gemini
|
||||
|
||||
var ModelList = []string{
|
||||
"gemini-pro", "gemini-1.0-pro-001", "gemini-1.5-pro",
|
||||
"gemini-pro-vision", "gemini-1.0-pro-vision-001", "embedding-001", "text-embedding-004",
|
||||
"gemini-pro", "gemini-1.0-pro", "gemini-1.5-flash", "gemini-1.5-pro", "text-embedding-004", "aqa",
|
||||
}
|
||||
|
||||
@@ -4,6 +4,7 @@ import (
|
||||
"bufio"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
@@ -245,8 +246,10 @@ func responseGeminiChat2OpenAI(response *ChatResponse) *openai.TextResponse {
|
||||
func streamResponseGeminiChat2OpenAI(geminiResponse *ChatResponse) *openai.ChatCompletionsStreamResponse {
|
||||
var choice openai.ChatCompletionsStreamResponseChoice
|
||||
choice.Delta.Content = geminiResponse.GetResponseText()
|
||||
choice.FinishReason = &constant.StopFinishReason
|
||||
//choice.FinishReason = &constant.StopFinishReason
|
||||
var response openai.ChatCompletionsStreamResponse
|
||||
response.Id = fmt.Sprintf("chatcmpl-%s", random.GetUUID())
|
||||
response.Created = helper.GetTimestamp()
|
||||
response.Object = "chat.completion.chunk"
|
||||
response.Model = "gemini"
|
||||
response.Choices = []openai.ChatCompletionsStreamResponseChoice{choice}
|
||||
@@ -273,64 +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
|
||||
}
|
||||
|
||||
|
||||
@@ -4,9 +4,14 @@ package groq
|
||||
|
||||
var ModelList = []string{
|
||||
"gemma-7b-it",
|
||||
"llama2-7b-2048",
|
||||
"llama2-70b-4096",
|
||||
"mixtral-8x7b-32768",
|
||||
"llama3-8b-8192",
|
||||
"llama3-70b-8192",
|
||||
"gemma2-9b-it",
|
||||
"llama-3.1-405b-reasoning",
|
||||
"llama-3.1-70b-versatile",
|
||||
"llama-3.1-8b-instant",
|
||||
"llama3-groq-70b-8192-tool-use-preview",
|
||||
"llama3-groq-8b-8192-tool-use-preview",
|
||||
"whisper-large-v3",
|
||||
}
|
||||
|
||||
19
relay/adaptor/novita/constants.go
Normal file
19
relay/adaptor/novita/constants.go
Normal 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",
|
||||
}
|
||||
15
relay/adaptor/novita/main.go
Normal file
15
relay/adaptor/novita/main.go
Normal 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)
|
||||
}
|
||||
@@ -24,7 +24,7 @@ func (a *Adaptor) GetRequestURL(meta *meta.Meta) (string, error) {
|
||||
// https://github.com/ollama/ollama/blob/main/docs/api.md
|
||||
fullRequestURL := fmt.Sprintf("%s/api/chat", meta.BaseURL)
|
||||
if meta.Mode == relaymode.Embeddings {
|
||||
fullRequestURL = fmt.Sprintf("%s/api/embeddings", meta.BaseURL)
|
||||
fullRequestURL = fmt.Sprintf("%s/api/embed", meta.BaseURL)
|
||||
}
|
||||
return fullRequestURL, nil
|
||||
}
|
||||
|
||||
@@ -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"
|
||||
@@ -29,6 +31,8 @@ func ConvertRequest(request model.GeneralOpenAIRequest) *ChatRequest {
|
||||
TopP: request.TopP,
|
||||
FrequencyPenalty: request.FrequencyPenalty,
|
||||
PresencePenalty: request.PresencePenalty,
|
||||
NumPredict: request.MaxTokens,
|
||||
NumCtx: request.NumCtx,
|
||||
},
|
||||
Stream: request.Stream,
|
||||
}
|
||||
@@ -105,61 +109,67 @@ 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 := scanner.Text()
|
||||
if strings.HasPrefix(data, "}") {
|
||||
data = strings.TrimPrefix(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
|
||||
}
|
||||
|
||||
func ConvertEmbeddingRequest(request model.GeneralOpenAIRequest) *EmbeddingRequest {
|
||||
return &EmbeddingRequest{
|
||||
Model: request.Model,
|
||||
Prompt: strings.Join(request.ParseInput(), " "),
|
||||
Model: request.Model,
|
||||
Input: request.ParseInput(),
|
||||
Options: &Options{
|
||||
Seed: int(request.Seed),
|
||||
Temperature: request.Temperature,
|
||||
TopP: request.TopP,
|
||||
FrequencyPenalty: request.FrequencyPenalty,
|
||||
PresencePenalty: request.PresencePenalty,
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
@@ -202,15 +212,17 @@ func embeddingResponseOllama2OpenAI(response *EmbeddingResponse) *openai.Embeddi
|
||||
openAIEmbeddingResponse := openai.EmbeddingResponse{
|
||||
Object: "list",
|
||||
Data: make([]openai.EmbeddingResponseItem, 0, 1),
|
||||
Model: "text-embedding-v1",
|
||||
Model: response.Model,
|
||||
Usage: model.Usage{TotalTokens: 0},
|
||||
}
|
||||
|
||||
openAIEmbeddingResponse.Data = append(openAIEmbeddingResponse.Data, openai.EmbeddingResponseItem{
|
||||
Object: `embedding`,
|
||||
Index: 0,
|
||||
Embedding: response.Embedding,
|
||||
})
|
||||
for i, embedding := range response.Embeddings {
|
||||
openAIEmbeddingResponse.Data = append(openAIEmbeddingResponse.Data, openai.EmbeddingResponseItem{
|
||||
Object: `embedding`,
|
||||
Index: i,
|
||||
Embedding: embedding,
|
||||
})
|
||||
}
|
||||
return &openAIEmbeddingResponse
|
||||
}
|
||||
|
||||
|
||||
@@ -7,6 +7,8 @@ type Options struct {
|
||||
TopP float64 `json:"top_p,omitempty"`
|
||||
FrequencyPenalty float64 `json:"frequency_penalty,omitempty"`
|
||||
PresencePenalty float64 `json:"presence_penalty,omitempty"`
|
||||
NumPredict int `json:"num_predict,omitempty"`
|
||||
NumCtx int `json:"num_ctx,omitempty"`
|
||||
}
|
||||
|
||||
type Message struct {
|
||||
@@ -37,11 +39,15 @@ type ChatResponse struct {
|
||||
}
|
||||
|
||||
type EmbeddingRequest struct {
|
||||
Model string `json:"model"`
|
||||
Prompt string `json:"prompt"`
|
||||
Model string `json:"model"`
|
||||
Input []string `json:"input"`
|
||||
// Truncate bool `json:"truncate,omitempty"`
|
||||
Options *Options `json:"options,omitempty"`
|
||||
// KeepAlive string `json:"keep_alive,omitempty"`
|
||||
}
|
||||
|
||||
type EmbeddingResponse struct {
|
||||
Error string `json:"error,omitempty"`
|
||||
Embedding []float64 `json:"embedding,omitempty"`
|
||||
Error string `json:"error,omitempty"`
|
||||
Model string `json:"model"`
|
||||
Embeddings [][]float64 `json:"embeddings"`
|
||||
}
|
||||
|
||||
@@ -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 {
|
||||
@@ -53,6 +55,8 @@ func (a *Adaptor) GetRequestURL(meta *meta.Meta) (string, error) {
|
||||
return GetFullRequestURL("https://apivip.aiproxy.io", meta.RequestURLPath, meta.ChannelType), nil
|
||||
}
|
||||
fallthrough
|
||||
case channeltype.Novita:
|
||||
return novita.GetRequestURL(meta)
|
||||
default:
|
||||
return GetFullRequestURL(meta.BaseURL, meta.RequestURLPath, meta.ChannelType), nil
|
||||
}
|
||||
|
||||
@@ -10,8 +10,10 @@ 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/adaptor/siliconflow"
|
||||
"github.com/songquanpeng/one-api/relay/channeltype"
|
||||
)
|
||||
|
||||
@@ -28,6 +30,8 @@ var CompatibleChannels = []int{
|
||||
channeltype.StepFun,
|
||||
channeltype.DeepSeek,
|
||||
channeltype.TogetherAI,
|
||||
channeltype.Novita,
|
||||
channeltype.SiliconFlow,
|
||||
}
|
||||
|
||||
func GetCompatibleChannelMeta(channelType int) (string, []string) {
|
||||
@@ -56,6 +60,10 @@ 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
|
||||
case channeltype.SiliconFlow:
|
||||
return "siliconflow", siliconflow.ModelList
|
||||
default:
|
||||
return "openai", ModelList
|
||||
}
|
||||
|
||||
@@ -8,6 +8,7 @@ var ModelList = []string{
|
||||
"gpt-4-32k", "gpt-4-32k-0314", "gpt-4-32k-0613",
|
||||
"gpt-4-turbo-preview", "gpt-4-turbo", "gpt-4-turbo-2024-04-09",
|
||||
"gpt-4o", "gpt-4o-2024-05-13",
|
||||
"gpt-4o-mini", "gpt-4o-mini-2024-07-18",
|
||||
"gpt-4-vision-preview",
|
||||
"text-embedding-ada-002", "text-embedding-3-small", "text-embedding-3-large",
|
||||
"text-curie-001", "text-babbage-001", "text-ada-001", "text-davinci-002", "text-davinci-003",
|
||||
|
||||
@@ -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)
|
||||
|
||||
@@ -97,7 +97,11 @@ func CountTokenMessages(messages []model.Message, model string) int {
|
||||
m := it.(map[string]any)
|
||||
switch m["type"] {
|
||||
case "text":
|
||||
tokenNum += getTokenNum(tokenEncoder, m["text"].(string))
|
||||
if textValue, ok := m["text"]; ok {
|
||||
if textString, ok := textValue.(string); ok {
|
||||
tokenNum += getTokenNum(tokenEncoder, textString)
|
||||
}
|
||||
}
|
||||
case "image_url":
|
||||
imageUrl, ok := m["image_url"].(map[string]any)
|
||||
if ok {
|
||||
@@ -106,7 +110,7 @@ func CountTokenMessages(messages []model.Message, model string) int {
|
||||
if imageUrl["detail"] != nil {
|
||||
detail = imageUrl["detail"].(string)
|
||||
}
|
||||
imageTokens, err := countImageTokens(url, detail)
|
||||
imageTokens, err := countImageTokens(url, detail, model)
|
||||
if err != nil {
|
||||
logger.SysError("error counting image tokens: " + err.Error())
|
||||
} else {
|
||||
@@ -130,11 +134,15 @@ const (
|
||||
lowDetailCost = 85
|
||||
highDetailCostPerTile = 170
|
||||
additionalCost = 85
|
||||
// gpt-4o-mini cost higher than other model
|
||||
gpt4oMiniLowDetailCost = 2833
|
||||
gpt4oMiniHighDetailCost = 5667
|
||||
gpt4oMiniAdditionalCost = 2833
|
||||
)
|
||||
|
||||
// https://platform.openai.com/docs/guides/vision/calculating-costs
|
||||
// https://github.com/openai/openai-cookbook/blob/05e3f9be4c7a2ae7ecf029a7c32065b024730ebe/examples/How_to_count_tokens_with_tiktoken.ipynb
|
||||
func countImageTokens(url string, detail string) (_ int, err error) {
|
||||
func countImageTokens(url string, detail string, model string) (_ int, err error) {
|
||||
var fetchSize = true
|
||||
var width, height int
|
||||
// Reference: https://platform.openai.com/docs/guides/vision/low-or-high-fidelity-image-understanding
|
||||
@@ -168,6 +176,9 @@ func countImageTokens(url string, detail string) (_ int, err error) {
|
||||
}
|
||||
switch detail {
|
||||
case "low":
|
||||
if strings.HasPrefix(model, "gpt-4o-mini") {
|
||||
return gpt4oMiniLowDetailCost, nil
|
||||
}
|
||||
return lowDetailCost, nil
|
||||
case "high":
|
||||
if fetchSize {
|
||||
@@ -187,6 +198,9 @@ func countImageTokens(url string, detail string) (_ int, err error) {
|
||||
height = int(float64(height) * ratio)
|
||||
}
|
||||
numSquares := int(math.Ceil(float64(width)/512) * math.Ceil(float64(height)/512))
|
||||
if strings.HasPrefix(model, "gpt-4o-mini") {
|
||||
return numSquares*gpt4oMiniHighDetailCost + gpt4oMiniAdditionalCost, nil
|
||||
}
|
||||
result := numSquares*highDetailCostPerTile + additionalCost
|
||||
return result, nil
|
||||
default:
|
||||
|
||||
@@ -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
|
||||
}
|
||||
|
||||
|
||||
89
relay/adaptor/proxy/adaptor.go
Normal file
89
relay/adaptor/proxy/adaptor.go
Normal file
@@ -0,0 +1,89 @@
|
||||
package proxy
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/pkg/errors"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor"
|
||||
channelhelper "github.com/songquanpeng/one-api/relay/adaptor"
|
||||
"github.com/songquanpeng/one-api/relay/meta"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
relaymodel "github.com/songquanpeng/one-api/relay/model"
|
||||
)
|
||||
|
||||
var _ adaptor.Adaptor = new(Adaptor)
|
||||
|
||||
const channelName = "proxy"
|
||||
|
||||
type Adaptor struct{}
|
||||
|
||||
func (a *Adaptor) Init(meta *meta.Meta) {
|
||||
}
|
||||
|
||||
func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.GeneralOpenAIRequest) (any, error) {
|
||||
return nil, errors.New("notimplement")
|
||||
}
|
||||
|
||||
func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, meta *meta.Meta) (usage *model.Usage, err *model.ErrorWithStatusCode) {
|
||||
for k, v := range resp.Header {
|
||||
for _, vv := range v {
|
||||
c.Writer.Header().Set(k, vv)
|
||||
}
|
||||
}
|
||||
|
||||
c.Writer.WriteHeader(resp.StatusCode)
|
||||
if _, gerr := io.Copy(c.Writer, resp.Body); gerr != nil {
|
||||
return nil, &relaymodel.ErrorWithStatusCode{
|
||||
StatusCode: http.StatusInternalServerError,
|
||||
Error: relaymodel.Error{
|
||||
Message: gerr.Error(),
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
return nil, nil
|
||||
}
|
||||
|
||||
func (a *Adaptor) GetModelList() (models []string) {
|
||||
return nil
|
||||
}
|
||||
|
||||
func (a *Adaptor) GetChannelName() string {
|
||||
return channelName
|
||||
}
|
||||
|
||||
// GetRequestURL remove static prefix, and return the real request url to the upstream service
|
||||
func (a *Adaptor) GetRequestURL(meta *meta.Meta) (string, error) {
|
||||
prefix := fmt.Sprintf("/v1/oneapi/proxy/%d", meta.ChannelId)
|
||||
return meta.BaseURL + strings.TrimPrefix(meta.RequestURLPath, prefix), nil
|
||||
|
||||
}
|
||||
|
||||
func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Request, meta *meta.Meta) error {
|
||||
for k, v := range c.Request.Header {
|
||||
req.Header.Set(k, v[0])
|
||||
}
|
||||
|
||||
// remove unnecessary headers
|
||||
req.Header.Del("Host")
|
||||
req.Header.Del("Content-Length")
|
||||
req.Header.Del("Accept-Encoding")
|
||||
req.Header.Del("Connection")
|
||||
|
||||
// set authorization header
|
||||
req.Header.Set("Authorization", meta.APIKey)
|
||||
|
||||
return nil
|
||||
}
|
||||
|
||||
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
|
||||
return nil, errors.Errorf("not implement")
|
||||
}
|
||||
|
||||
func (a *Adaptor) DoRequest(c *gin.Context, meta *meta.Meta, requestBody io.Reader) (*http.Response, error) {
|
||||
return channelhelper.DoRequestHelper(a, c, meta, requestBody)
|
||||
}
|
||||
36
relay/adaptor/siliconflow/constants.go
Normal file
36
relay/adaptor/siliconflow/constants.go
Normal file
@@ -0,0 +1,36 @@
|
||||
package siliconflow
|
||||
|
||||
// https://docs.siliconflow.cn/docs/getting-started
|
||||
|
||||
var ModelList = []string{
|
||||
"deepseek-ai/deepseek-llm-67b-chat",
|
||||
"Qwen/Qwen1.5-14B-Chat",
|
||||
"Qwen/Qwen1.5-7B-Chat",
|
||||
"Qwen/Qwen1.5-110B-Chat",
|
||||
"Qwen/Qwen1.5-32B-Chat",
|
||||
"01-ai/Yi-1.5-6B-Chat",
|
||||
"01-ai/Yi-1.5-9B-Chat-16K",
|
||||
"01-ai/Yi-1.5-34B-Chat-16K",
|
||||
"THUDM/chatglm3-6b",
|
||||
"deepseek-ai/DeepSeek-V2-Chat",
|
||||
"THUDM/glm-4-9b-chat",
|
||||
"Qwen/Qwen2-72B-Instruct",
|
||||
"Qwen/Qwen2-7B-Instruct",
|
||||
"Qwen/Qwen2-57B-A14B-Instruct",
|
||||
"deepseek-ai/DeepSeek-Coder-V2-Instruct",
|
||||
"Qwen/Qwen2-1.5B-Instruct",
|
||||
"internlm/internlm2_5-7b-chat",
|
||||
"BAAI/bge-large-en-v1.5",
|
||||
"BAAI/bge-large-zh-v1.5",
|
||||
"Pro/Qwen/Qwen2-7B-Instruct",
|
||||
"Pro/Qwen/Qwen2-1.5B-Instruct",
|
||||
"Pro/Qwen/Qwen1.5-7B-Chat",
|
||||
"Pro/THUDM/glm-4-9b-chat",
|
||||
"Pro/THUDM/chatglm3-6b",
|
||||
"Pro/01-ai/Yi-1.5-9B-Chat-16K",
|
||||
"Pro/01-ai/Yi-1.5-6B-Chat",
|
||||
"Pro/google/gemma-2-9b-it",
|
||||
"Pro/internlm/internlm2_5-7b-chat",
|
||||
"Pro/meta-llama/Meta-Llama-3-8B-Instruct",
|
||||
"Pro/mistralai/Mistral-7B-Instruct-v0.2",
|
||||
}
|
||||
@@ -2,35 +2,43 @@ package tencent
|
||||
|
||||
import (
|
||||
"errors"
|
||||
"fmt"
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/songquanpeng/one-api/common/helper"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/openai"
|
||||
"github.com/songquanpeng/one-api/relay/meta"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
"io"
|
||||
"net/http"
|
||||
"strconv"
|
||||
"strings"
|
||||
)
|
||||
|
||||
// https://cloud.tencent.com/document/api/1729/101837
|
||||
|
||||
type Adaptor struct {
|
||||
Sign string
|
||||
Sign string
|
||||
Action string
|
||||
Version string
|
||||
Timestamp int64
|
||||
}
|
||||
|
||||
func (a *Adaptor) Init(meta *meta.Meta) {
|
||||
|
||||
a.Action = "ChatCompletions"
|
||||
a.Version = "2023-09-01"
|
||||
a.Timestamp = helper.GetTimestamp()
|
||||
}
|
||||
|
||||
func (a *Adaptor) GetRequestURL(meta *meta.Meta) (string, error) {
|
||||
return fmt.Sprintf("%s/hyllm/v1/chat/completions", meta.BaseURL), nil
|
||||
return meta.BaseURL + "/", nil
|
||||
}
|
||||
|
||||
func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Request, meta *meta.Meta) error {
|
||||
adaptor.SetupCommonRequestHeader(c, req, meta)
|
||||
req.Header.Set("Authorization", a.Sign)
|
||||
req.Header.Set("X-TC-Action", meta.ActualModelName)
|
||||
req.Header.Set("X-TC-Action", a.Action)
|
||||
req.Header.Set("X-TC-Version", a.Version)
|
||||
req.Header.Set("X-TC-Timestamp", strconv.FormatInt(a.Timestamp, 10))
|
||||
return nil
|
||||
}
|
||||
|
||||
@@ -40,15 +48,13 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
|
||||
}
|
||||
apiKey := c.Request.Header.Get("Authorization")
|
||||
apiKey = strings.TrimPrefix(apiKey, "Bearer ")
|
||||
appId, secretId, secretKey, err := ParseConfig(apiKey)
|
||||
_, secretId, secretKey, err := ParseConfig(apiKey)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
tencentRequest := ConvertRequest(*request)
|
||||
tencentRequest.AppId = appId
|
||||
tencentRequest.SecretId = secretId
|
||||
// we have to calculate the sign here
|
||||
a.Sign = GetSign(*tencentRequest, secretKey)
|
||||
a.Sign = GetSign(*tencentRequest, a, secretId, secretKey)
|
||||
return tencentRequest, nil
|
||||
}
|
||||
|
||||
|
||||
@@ -1,7 +1,8 @@
|
||||
package tencent
|
||||
|
||||
var ModelList = []string{
|
||||
"ChatPro",
|
||||
"ChatStd",
|
||||
"hunyuan",
|
||||
"hunyuan-lite",
|
||||
"hunyuan-standard",
|
||||
"hunyuan-standard-256K",
|
||||
"hunyuan-pro",
|
||||
}
|
||||
|
||||
@@ -3,11 +3,18 @@ package tencent
|
||||
import (
|
||||
"bufio"
|
||||
"crypto/hmac"
|
||||
"crypto/sha1"
|
||||
"encoding/base64"
|
||||
"crypto/sha256"
|
||||
"encoding/hex"
|
||||
"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"
|
||||
@@ -17,36 +24,23 @@ 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"
|
||||
"sort"
|
||||
"strconv"
|
||||
"strings"
|
||||
)
|
||||
|
||||
// https://cloud.tencent.com/document/product/1729/97732
|
||||
|
||||
func ConvertRequest(request model.GeneralOpenAIRequest) *ChatRequest {
|
||||
messages := make([]Message, 0, len(request.Messages))
|
||||
messages := make([]*Message, 0, len(request.Messages))
|
||||
for i := 0; i < len(request.Messages); i++ {
|
||||
message := request.Messages[i]
|
||||
messages = append(messages, Message{
|
||||
messages = append(messages, &Message{
|
||||
Content: message.StringContent(),
|
||||
Role: message.Role,
|
||||
})
|
||||
}
|
||||
stream := 0
|
||||
if request.Stream {
|
||||
stream = 1
|
||||
}
|
||||
return &ChatRequest{
|
||||
Timestamp: helper.GetTimestamp(),
|
||||
Expired: helper.GetTimestamp() + 24*60*60,
|
||||
QueryID: random.GetUUID(),
|
||||
Temperature: request.Temperature,
|
||||
TopP: request.TopP,
|
||||
Stream: stream,
|
||||
Model: &request.Model,
|
||||
Stream: &request.Stream,
|
||||
Messages: messages,
|
||||
TopP: &request.TopP,
|
||||
Temperature: &request.Temperature,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -54,7 +48,11 @@ func responseTencent2OpenAI(response *ChatResponse) *openai.TextResponse {
|
||||
fullTextResponse := openai.TextResponse{
|
||||
Object: "chat.completion",
|
||||
Created: helper.GetTimestamp(),
|
||||
Usage: response.Usage,
|
||||
Usage: model.Usage{
|
||||
PromptTokens: response.Usage.PromptTokens,
|
||||
CompletionTokens: response.Usage.CompletionTokens,
|
||||
TotalTokens: response.Usage.TotalTokens,
|
||||
},
|
||||
}
|
||||
if len(response.Choices) > 0 {
|
||||
choice := openai.TextResponseChoice{
|
||||
@@ -91,69 +89,52 @@ 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
|
||||
}
|
||||
|
||||
func Handler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusCode, *model.Usage) {
|
||||
var TencentResponse ChatResponse
|
||||
var responseP ChatResponseP
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
|
||||
@@ -162,10 +143,11 @@ func Handler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusCode, *
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
err = json.Unmarshal(responseBody, &TencentResponse)
|
||||
err = json.Unmarshal(responseBody, &responseP)
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
TencentResponse = responseP.Response
|
||||
if TencentResponse.Error.Code != 0 {
|
||||
return &model.ErrorWithStatusCode{
|
||||
Error: model.Error{
|
||||
@@ -202,29 +184,62 @@ func ParseConfig(config string) (appId int64, secretId string, secretKey string,
|
||||
return
|
||||
}
|
||||
|
||||
func GetSign(req ChatRequest, secretKey string) string {
|
||||
params := make([]string, 0)
|
||||
params = append(params, "app_id="+strconv.FormatInt(req.AppId, 10))
|
||||
params = append(params, "secret_id="+req.SecretId)
|
||||
params = append(params, "timestamp="+strconv.FormatInt(req.Timestamp, 10))
|
||||
params = append(params, "query_id="+req.QueryID)
|
||||
params = append(params, "temperature="+strconv.FormatFloat(req.Temperature, 'f', -1, 64))
|
||||
params = append(params, "top_p="+strconv.FormatFloat(req.TopP, 'f', -1, 64))
|
||||
params = append(params, "stream="+strconv.Itoa(req.Stream))
|
||||
params = append(params, "expired="+strconv.FormatInt(req.Expired, 10))
|
||||
|
||||
var messageStr string
|
||||
for _, msg := range req.Messages {
|
||||
messageStr += fmt.Sprintf(`{"role":"%s","content":"%s"},`, msg.Role, msg.Content)
|
||||
}
|
||||
messageStr = strings.TrimSuffix(messageStr, ",")
|
||||
params = append(params, "messages=["+messageStr+"]")
|
||||
|
||||
sort.Strings(params)
|
||||
url := "hunyuan.cloud.tencent.com/hyllm/v1/chat/completions?" + strings.Join(params, "&")
|
||||
mac := hmac.New(sha1.New, []byte(secretKey))
|
||||
signURL := url
|
||||
mac.Write([]byte(signURL))
|
||||
sign := mac.Sum([]byte(nil))
|
||||
return base64.StdEncoding.EncodeToString(sign)
|
||||
func sha256hex(s string) string {
|
||||
b := sha256.Sum256([]byte(s))
|
||||
return hex.EncodeToString(b[:])
|
||||
}
|
||||
|
||||
func hmacSha256(s, key string) string {
|
||||
hashed := hmac.New(sha256.New, []byte(key))
|
||||
hashed.Write([]byte(s))
|
||||
return string(hashed.Sum(nil))
|
||||
}
|
||||
|
||||
func GetSign(req ChatRequest, adaptor *Adaptor, secId, secKey string) string {
|
||||
// build canonical request string
|
||||
host := "hunyuan.tencentcloudapi.com"
|
||||
httpRequestMethod := "POST"
|
||||
canonicalURI := "/"
|
||||
canonicalQueryString := ""
|
||||
canonicalHeaders := fmt.Sprintf("content-type:%s\nhost:%s\nx-tc-action:%s\n",
|
||||
"application/json", host, strings.ToLower(adaptor.Action))
|
||||
signedHeaders := "content-type;host;x-tc-action"
|
||||
payload, _ := json.Marshal(req)
|
||||
hashedRequestPayload := sha256hex(string(payload))
|
||||
canonicalRequest := fmt.Sprintf("%s\n%s\n%s\n%s\n%s\n%s",
|
||||
httpRequestMethod,
|
||||
canonicalURI,
|
||||
canonicalQueryString,
|
||||
canonicalHeaders,
|
||||
signedHeaders,
|
||||
hashedRequestPayload)
|
||||
// build string to sign
|
||||
algorithm := "TC3-HMAC-SHA256"
|
||||
requestTimestamp := strconv.FormatInt(adaptor.Timestamp, 10)
|
||||
timestamp, _ := strconv.ParseInt(requestTimestamp, 10, 64)
|
||||
t := time.Unix(timestamp, 0).UTC()
|
||||
// must be the format 2006-01-02, ref to package time for more info
|
||||
date := t.Format("2006-01-02")
|
||||
credentialScope := fmt.Sprintf("%s/%s/tc3_request", date, "hunyuan")
|
||||
hashedCanonicalRequest := sha256hex(canonicalRequest)
|
||||
string2sign := fmt.Sprintf("%s\n%s\n%s\n%s",
|
||||
algorithm,
|
||||
requestTimestamp,
|
||||
credentialScope,
|
||||
hashedCanonicalRequest)
|
||||
|
||||
// sign string
|
||||
secretDate := hmacSha256(date, "TC3"+secKey)
|
||||
secretService := hmacSha256("hunyuan", secretDate)
|
||||
secretKey := hmacSha256("tc3_request", secretService)
|
||||
signature := hex.EncodeToString([]byte(hmacSha256(string2sign, secretKey)))
|
||||
|
||||
// build authorization
|
||||
authorization := fmt.Sprintf("%s Credential=%s/%s, SignedHeaders=%s, Signature=%s",
|
||||
algorithm,
|
||||
secId,
|
||||
credentialScope,
|
||||
signedHeaders,
|
||||
signature)
|
||||
return authorization
|
||||
}
|
||||
|
||||
@@ -1,63 +1,75 @@
|
||||
package tencent
|
||||
|
||||
import (
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
)
|
||||
|
||||
type Message struct {
|
||||
Role string `json:"role"`
|
||||
Content string `json:"content"`
|
||||
Role string `json:"Role"`
|
||||
Content string `json:"Content"`
|
||||
}
|
||||
|
||||
type ChatRequest struct {
|
||||
AppId int64 `json:"app_id"` // 腾讯云账号的 APPID
|
||||
SecretId string `json:"secret_id"` // 官网 SecretId
|
||||
// Timestamp当前 UNIX 时间戳,单位为秒,可记录发起 API 请求的时间。
|
||||
// 例如1529223702,如果与当前时间相差过大,会引起签名过期错误
|
||||
Timestamp int64 `json:"timestamp"`
|
||||
// Expired 签名的有效期,是一个符合 UNIX Epoch 时间戳规范的数值,
|
||||
// 单位为秒;Expired 必须大于 Timestamp 且 Expired-Timestamp 小于90天
|
||||
Expired int64 `json:"expired"`
|
||||
QueryID string `json:"query_id"` //请求 Id,用于问题排查
|
||||
// Temperature 较高的数值会使输出更加随机,而较低的数值会使其更加集中和确定
|
||||
// 默认 1.0,取值区间为[0.0,2.0],非必要不建议使用,不合理的取值会影响效果
|
||||
// 建议该参数和 top_p 只设置1个,不要同时更改 top_p
|
||||
Temperature float64 `json:"temperature"`
|
||||
// TopP 影响输出文本的多样性,取值越大,生成文本的多样性越强
|
||||
// 默认1.0,取值区间为[0.0, 1.0],非必要不建议使用, 不合理的取值会影响效果
|
||||
// 建议该参数和 temperature 只设置1个,不要同时更改
|
||||
TopP float64 `json:"top_p"`
|
||||
// Stream 0:同步,1:流式 (默认,协议:SSE)
|
||||
// 同步请求超时:60s,如果内容较长建议使用流式
|
||||
Stream int `json:"stream"`
|
||||
// Messages 会话内容, 长度最多为40, 按对话时间从旧到新在数组中排列
|
||||
// 输入 content 总数最大支持 3000 token。
|
||||
Messages []Message `json:"messages"`
|
||||
// 模型名称,可选值包括 hunyuan-lite、hunyuan-standard、hunyuan-standard-256K、hunyuan-pro。
|
||||
// 各模型介绍请阅读 [产品概述](https://cloud.tencent.com/document/product/1729/104753) 中的说明。
|
||||
//
|
||||
// 注意:
|
||||
// 不同的模型计费不同,请根据 [购买指南](https://cloud.tencent.com/document/product/1729/97731) 按需调用。
|
||||
Model *string `json:"Model"`
|
||||
// 聊天上下文信息。
|
||||
// 说明:
|
||||
// 1. 长度最多为 40,按对话时间从旧到新在数组中排列。
|
||||
// 2. Message.Role 可选值:system、user、assistant。
|
||||
// 其中,system 角色可选,如存在则必须位于列表的最开始。user 和 assistant 需交替出现(一问一答),以 user 提问开始和结束,且 Content 不能为空。Role 的顺序示例:[system(可选) user assistant user assistant user ...]。
|
||||
// 3. Messages 中 Content 总长度不能超过模型输入长度上限(可参考 [产品概述](https://cloud.tencent.com/document/product/1729/104753) 文档),超过则会截断最前面的内容,只保留尾部内容。
|
||||
Messages []*Message `json:"Messages"`
|
||||
// 流式调用开关。
|
||||
// 说明:
|
||||
// 1. 未传值时默认为非流式调用(false)。
|
||||
// 2. 流式调用时以 SSE 协议增量返回结果(返回值取 Choices[n].Delta 中的值,需要拼接增量数据才能获得完整结果)。
|
||||
// 3. 非流式调用时:
|
||||
// 调用方式与普通 HTTP 请求无异。
|
||||
// 接口响应耗时较长,**如需更低时延建议设置为 true**。
|
||||
// 只返回一次最终结果(返回值取 Choices[n].Message 中的值)。
|
||||
//
|
||||
// 注意:
|
||||
// 通过 SDK 调用时,流式和非流式调用需用**不同的方式**获取返回值,具体参考 SDK 中的注释或示例(在各语言 SDK 代码仓库的 examples/hunyuan/v20230901/ 目录中)。
|
||||
Stream *bool `json:"Stream"`
|
||||
// 说明:
|
||||
// 1. 影响输出文本的多样性,取值越大,生成文本的多样性越强。
|
||||
// 2. 取值区间为 [0.0, 1.0],未传值时使用各模型推荐值。
|
||||
// 3. 非必要不建议使用,不合理的取值会影响效果。
|
||||
TopP *float64 `json:"TopP"`
|
||||
// 说明:
|
||||
// 1. 较高的数值会使输出更加随机,而较低的数值会使其更加集中和确定。
|
||||
// 2. 取值区间为 [0.0, 2.0],未传值时使用各模型推荐值。
|
||||
// 3. 非必要不建议使用,不合理的取值会影响效果。
|
||||
Temperature *float64 `json:"Temperature"`
|
||||
}
|
||||
|
||||
type Error struct {
|
||||
Code int `json:"code"`
|
||||
Message string `json:"message"`
|
||||
Code int `json:"Code"`
|
||||
Message string `json:"Message"`
|
||||
}
|
||||
|
||||
type Usage struct {
|
||||
InputTokens int `json:"input_tokens"`
|
||||
OutputTokens int `json:"output_tokens"`
|
||||
TotalTokens int `json:"total_tokens"`
|
||||
PromptTokens int `json:"PromptTokens"`
|
||||
CompletionTokens int `json:"CompletionTokens"`
|
||||
TotalTokens int `json:"TotalTokens"`
|
||||
}
|
||||
|
||||
type ResponseChoices struct {
|
||||
FinishReason string `json:"finish_reason,omitempty"` // 流式结束标志位,为 stop 则表示尾包
|
||||
Messages Message `json:"messages,omitempty"` // 内容,同步模式返回内容,流模式为 null 输出 content 内容总数最多支持 1024token。
|
||||
Delta Message `json:"delta,omitempty"` // 内容,流模式返回内容,同步模式为 null 输出 content 内容总数最多支持 1024token。
|
||||
FinishReason string `json:"FinishReason,omitempty"` // 流式结束标志位,为 stop 则表示尾包
|
||||
Messages Message `json:"Message,omitempty"` // 内容,同步模式返回内容,流模式为 null 输出 content 内容总数最多支持 1024token。
|
||||
Delta Message `json:"Delta,omitempty"` // 内容,流模式返回内容,同步模式为 null 输出 content 内容总数最多支持 1024token。
|
||||
}
|
||||
|
||||
type ChatResponse struct {
|
||||
Choices []ResponseChoices `json:"choices,omitempty"` // 结果
|
||||
Created string `json:"created,omitempty"` // unix 时间戳的字符串
|
||||
Id string `json:"id,omitempty"` // 会话 id
|
||||
Usage model.Usage `json:"usage,omitempty"` // token 数量
|
||||
Error Error `json:"error,omitempty"` // 错误信息 注意:此字段可能返回 null,表示取不到有效值
|
||||
Note string `json:"note,omitempty"` // 注释
|
||||
ReqID string `json:"req_id,omitempty"` // 唯一请求 Id,每次请求都会返回。用于反馈接口入参
|
||||
Choices []ResponseChoices `json:"Choices,omitempty"` // 结果
|
||||
Created int64 `json:"Created,omitempty"` // unix 时间戳的字符串
|
||||
Id string `json:"Id,omitempty"` // 会话 id
|
||||
Usage Usage `json:"Usage,omitempty"` // token 数量
|
||||
Error Error `json:"Error,omitempty"` // 错误信息 注意:此字段可能返回 null,表示取不到有效值
|
||||
Note string `json:"Note,omitempty"` // 注释
|
||||
ReqID string `json:"Req_id,omitempty"` // 唯一请求 Id,每次请求都会返回。用于反馈接口入参
|
||||
}
|
||||
|
||||
type ChatResponseP struct {
|
||||
Response ChatResponse `json:"Response,omitempty"`
|
||||
}
|
||||
|
||||
117
relay/adaptor/vertexai/adaptor.go
Normal file
117
relay/adaptor/vertexai/adaptor.go
Normal file
@@ -0,0 +1,117 @@
|
||||
package vertexai
|
||||
|
||||
import (
|
||||
"errors"
|
||||
"fmt"
|
||||
"io"
|
||||
"net/http"
|
||||
"strings"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor"
|
||||
channelhelper "github.com/songquanpeng/one-api/relay/adaptor"
|
||||
"github.com/songquanpeng/one-api/relay/meta"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
relaymodel "github.com/songquanpeng/one-api/relay/model"
|
||||
)
|
||||
|
||||
var _ adaptor.Adaptor = new(Adaptor)
|
||||
|
||||
const channelName = "vertexai"
|
||||
|
||||
type Adaptor struct{}
|
||||
|
||||
func (a *Adaptor) Init(meta *meta.Meta) {
|
||||
}
|
||||
|
||||
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")
|
||||
}
|
||||
|
||||
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) {
|
||||
adaptor := GetAdaptor(meta.ActualModelName)
|
||||
if adaptor == nil {
|
||||
return nil, &relaymodel.ErrorWithStatusCode{
|
||||
StatusCode: http.StatusInternalServerError,
|
||||
Error: relaymodel.Error{
|
||||
Message: "adaptor not found",
|
||||
},
|
||||
}
|
||||
}
|
||||
return adaptor.DoResponse(c, resp, meta)
|
||||
}
|
||||
|
||||
func (a *Adaptor) GetModelList() (models []string) {
|
||||
models = modelList
|
||||
return
|
||||
}
|
||||
|
||||
func (a *Adaptor) GetChannelName() string {
|
||||
return channelName
|
||||
}
|
||||
|
||||
func (a *Adaptor) GetRequestURL(meta *meta.Meta) (string, error) {
|
||||
suffix := ""
|
||||
if strings.HasPrefix(meta.ActualModelName, "gemini") {
|
||||
if meta.IsStream {
|
||||
suffix = "streamGenerateContent?alt=sse"
|
||||
} else {
|
||||
suffix = "generateContent"
|
||||
}
|
||||
} else {
|
||||
if meta.IsStream {
|
||||
suffix = "streamRawPredict?alt=sse"
|
||||
} else {
|
||||
suffix = "rawPredict"
|
||||
}
|
||||
}
|
||||
|
||||
if meta.BaseURL != "" {
|
||||
return fmt.Sprintf(
|
||||
"%s/v1/projects/%s/locations/%s/publishers/google/models/%s:%s",
|
||||
meta.BaseURL,
|
||||
meta.Config.VertexAIProjectID,
|
||||
meta.Config.Region,
|
||||
meta.ActualModelName,
|
||||
suffix,
|
||||
), nil
|
||||
}
|
||||
return fmt.Sprintf(
|
||||
"https://%s-aiplatform.googleapis.com/v1/projects/%s/locations/%s/publishers/google/models/%s:%s",
|
||||
meta.Config.Region,
|
||||
meta.Config.VertexAIProjectID,
|
||||
meta.Config.Region,
|
||||
meta.ActualModelName,
|
||||
suffix,
|
||||
), nil
|
||||
}
|
||||
|
||||
func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Request, meta *meta.Meta) error {
|
||||
adaptor.SetupCommonRequestHeader(c, req, meta)
|
||||
token, err := getToken(c, meta.ChannelId, meta.Config.VertexAIADC)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
req.Header.Set("Authorization", "Bearer "+token)
|
||||
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 channelhelper.DoRequestHelper(a, c, meta, requestBody)
|
||||
}
|
||||
55
relay/adaptor/vertexai/claude/adapter.go
Normal file
55
relay/adaptor/vertexai/claude/adapter.go
Normal file
@@ -0,0 +1,55 @@
|
||||
package vertexai
|
||||
|
||||
import (
|
||||
"net/http"
|
||||
|
||||
"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/meta"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
)
|
||||
|
||||
var ModelList = []string{
|
||||
"claude-3-haiku@20240307", "claude-3-opus@20240229", "claude-3-5-sonnet@20240620", "claude-3-sonnet@20240229",
|
||||
}
|
||||
|
||||
const anthropicVersion = "vertex-2023-10-16"
|
||||
|
||||
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)
|
||||
req := Request{
|
||||
AnthropicVersion: anthropicVersion,
|
||||
// Model: claudeReq.Model,
|
||||
Messages: claudeReq.Messages,
|
||||
System: claudeReq.System,
|
||||
MaxTokens: claudeReq.MaxTokens,
|
||||
Temperature: claudeReq.Temperature,
|
||||
TopP: claudeReq.TopP,
|
||||
TopK: claudeReq.TopK,
|
||||
Stream: claudeReq.Stream,
|
||||
Tools: claudeReq.Tools,
|
||||
}
|
||||
|
||||
c.Set(ctxkey.RequestModel, request.Model)
|
||||
c.Set(ctxkey.ConvertedRequest, req)
|
||||
return req, 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 = anthropic.StreamHandler(c, resp)
|
||||
} else {
|
||||
err, usage = anthropic.Handler(c, resp, meta.PromptTokens, meta.ActualModelName)
|
||||
}
|
||||
return
|
||||
}
|
||||
19
relay/adaptor/vertexai/claude/model.go
Normal file
19
relay/adaptor/vertexai/claude/model.go
Normal file
@@ -0,0 +1,19 @@
|
||||
package vertexai
|
||||
|
||||
import "github.com/songquanpeng/one-api/relay/adaptor/anthropic"
|
||||
|
||||
type Request struct {
|
||||
// AnthropicVersion must be "vertex-2023-10-16"
|
||||
AnthropicVersion string `json:"anthropic_version"`
|
||||
// Model string `json:"model"`
|
||||
Messages []anthropic.Message `json:"messages"`
|
||||
System string `json:"system,omitempty"`
|
||||
MaxTokens int `json:"max_tokens,omitempty"`
|
||||
StopSequences []string `json:"stop_sequences,omitempty"`
|
||||
Stream bool `json:"stream,omitempty"`
|
||||
Temperature float64 `json:"temperature,omitempty"`
|
||||
TopP float64 `json:"top_p,omitempty"`
|
||||
TopK int `json:"top_k,omitempty"`
|
||||
Tools []anthropic.Tool `json:"tools,omitempty"`
|
||||
ToolChoice any `json:"tool_choice,omitempty"`
|
||||
}
|
||||
49
relay/adaptor/vertexai/gemini/adapter.go
Normal file
49
relay/adaptor/vertexai/gemini/adapter.go
Normal file
@@ -0,0 +1,49 @@
|
||||
package vertexai
|
||||
|
||||
import (
|
||||
"net/http"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/pkg/errors"
|
||||
"github.com/songquanpeng/one-api/common/ctxkey"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/gemini"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/openai"
|
||||
"github.com/songquanpeng/one-api/relay/relaymode"
|
||||
|
||||
"github.com/songquanpeng/one-api/relay/meta"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
)
|
||||
|
||||
var ModelList = []string{
|
||||
"gemini-1.5-pro-001", "gemini-1.5-flash-001", "gemini-pro", "gemini-pro-vision",
|
||||
}
|
||||
|
||||
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")
|
||||
}
|
||||
|
||||
geminiRequest := gemini.ConvertRequest(*request)
|
||||
c.Set(ctxkey.RequestModel, request.Model)
|
||||
c.Set(ctxkey.ConvertedRequest, geminiRequest)
|
||||
return geminiRequest, nil
|
||||
}
|
||||
|
||||
func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, meta *meta.Meta) (usage *model.Usage, err *model.ErrorWithStatusCode) {
|
||||
if meta.IsStream {
|
||||
var responseText string
|
||||
err, responseText = gemini.StreamHandler(c, resp)
|
||||
usage = openai.ResponseText2Usage(responseText, meta.ActualModelName, meta.PromptTokens)
|
||||
} else {
|
||||
switch meta.Mode {
|
||||
case relaymode.Embeddings:
|
||||
err, usage = gemini.EmbeddingHandler(c, resp)
|
||||
default:
|
||||
err, usage = gemini.Handler(c, resp, meta.PromptTokens, meta.ActualModelName)
|
||||
}
|
||||
}
|
||||
return
|
||||
}
|
||||
50
relay/adaptor/vertexai/registry.go
Normal file
50
relay/adaptor/vertexai/registry.go
Normal file
@@ -0,0 +1,50 @@
|
||||
package vertexai
|
||||
|
||||
import (
|
||||
"net/http"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
claude "github.com/songquanpeng/one-api/relay/adaptor/vertexai/claude"
|
||||
gemini "github.com/songquanpeng/one-api/relay/adaptor/vertexai/gemini"
|
||||
"github.com/songquanpeng/one-api/relay/meta"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
)
|
||||
|
||||
type VertexAIModelType int
|
||||
|
||||
const (
|
||||
VerterAIClaude VertexAIModelType = iota + 1
|
||||
VerterAIGemini
|
||||
)
|
||||
|
||||
var modelMapping = map[string]VertexAIModelType{}
|
||||
var modelList = []string{}
|
||||
|
||||
func init() {
|
||||
modelList = append(modelList, claude.ModelList...)
|
||||
for _, model := range claude.ModelList {
|
||||
modelMapping[model] = VerterAIClaude
|
||||
}
|
||||
|
||||
modelList = append(modelList, gemini.ModelList...)
|
||||
for _, model := range gemini.ModelList {
|
||||
modelMapping[model] = VerterAIGemini
|
||||
}
|
||||
}
|
||||
|
||||
type innerAIAdapter interface {
|
||||
ConvertRequest(c *gin.Context, relayMode int, request *model.GeneralOpenAIRequest) (any, error)
|
||||
DoResponse(c *gin.Context, resp *http.Response, meta *meta.Meta) (usage *model.Usage, err *model.ErrorWithStatusCode)
|
||||
}
|
||||
|
||||
func GetAdaptor(model string) innerAIAdapter {
|
||||
adaptorType := modelMapping[model]
|
||||
switch adaptorType {
|
||||
case VerterAIClaude:
|
||||
return &claude.Adaptor{}
|
||||
case VerterAIGemini:
|
||||
return &gemini.Adaptor{}
|
||||
default:
|
||||
return nil
|
||||
}
|
||||
}
|
||||
62
relay/adaptor/vertexai/token.go
Normal file
62
relay/adaptor/vertexai/token.go
Normal file
@@ -0,0 +1,62 @@
|
||||
package vertexai
|
||||
|
||||
import (
|
||||
"context"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"time"
|
||||
|
||||
credentials "cloud.google.com/go/iam/credentials/apiv1"
|
||||
"cloud.google.com/go/iam/credentials/apiv1/credentialspb"
|
||||
"github.com/patrickmn/go-cache"
|
||||
"google.golang.org/api/option"
|
||||
)
|
||||
|
||||
type ApplicationDefaultCredentials struct {
|
||||
Type string `json:"type"`
|
||||
ProjectID string `json:"project_id"`
|
||||
PrivateKeyID string `json:"private_key_id"`
|
||||
PrivateKey string `json:"private_key"`
|
||||
ClientEmail string `json:"client_email"`
|
||||
ClientID string `json:"client_id"`
|
||||
AuthURI string `json:"auth_uri"`
|
||||
TokenURI string `json:"token_uri"`
|
||||
AuthProviderX509CertURL string `json:"auth_provider_x509_cert_url"`
|
||||
ClientX509CertURL string `json:"client_x509_cert_url"`
|
||||
UniverseDomain string `json:"universe_domain"`
|
||||
}
|
||||
|
||||
var Cache = cache.New(50*time.Minute, 55*time.Minute)
|
||||
|
||||
const defaultScope = "https://www.googleapis.com/auth/cloud-platform"
|
||||
|
||||
func getToken(ctx context.Context, channelId int, adcJson string) (string, error) {
|
||||
cacheKey := fmt.Sprintf("vertexai-token-%d", channelId)
|
||||
if token, found := Cache.Get(cacheKey); found {
|
||||
return token.(string), nil
|
||||
}
|
||||
adc := &ApplicationDefaultCredentials{}
|
||||
if err := json.Unmarshal([]byte(adcJson), adc); err != nil {
|
||||
return "", fmt.Errorf("Failed to decode credentials file: %w", err)
|
||||
}
|
||||
|
||||
c, err := credentials.NewIamCredentialsClient(ctx, option.WithCredentialsJSON([]byte(adcJson)))
|
||||
if err != nil {
|
||||
return "", fmt.Errorf("Failed to create client: %w", err)
|
||||
}
|
||||
defer c.Close()
|
||||
|
||||
req := &credentialspb.GenerateAccessTokenRequest{
|
||||
// See https://pkg.go.dev/cloud.google.com/go/iam/credentials/apiv1/credentialspb#GenerateAccessTokenRequest.
|
||||
Name: fmt.Sprintf("projects/-/serviceAccounts/%s", adc.ClientEmail),
|
||||
Scope: []string{defaultScope},
|
||||
}
|
||||
resp, err := c.GenerateAccessToken(ctx, req)
|
||||
if err != nil {
|
||||
return "", fmt.Errorf("Failed to generate access token: %w", err)
|
||||
}
|
||||
_ = resp
|
||||
|
||||
Cache.Set(cacheKey, resp.AccessToken, cache.DefaultExpiration)
|
||||
return resp.AccessToken, nil
|
||||
}
|
||||
@@ -27,14 +27,6 @@ func (a *Adaptor) GetRequestURL(meta *meta.Meta) (string, error) {
|
||||
|
||||
func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Request, meta *meta.Meta) error {
|
||||
adaptor.SetupCommonRequestHeader(c, req, meta)
|
||||
version := parseAPIVersionByModelName(meta.ActualModelName)
|
||||
if version == "" {
|
||||
version = a.meta.Config.APIVersion
|
||||
}
|
||||
if version == "" {
|
||||
version = "v1.1"
|
||||
}
|
||||
a.meta.Config.APIVersion = version
|
||||
// check DoResponse for auth part
|
||||
return nil
|
||||
}
|
||||
@@ -69,6 +61,14 @@ func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, meta *meta.Met
|
||||
if a.request == nil {
|
||||
return nil, openai.ErrorWrapper(errors.New("request is nil"), "request_is_nil", http.StatusBadRequest)
|
||||
}
|
||||
version := parseAPIVersionByModelName(meta.ActualModelName)
|
||||
if version == "" {
|
||||
version = a.meta.Config.APIVersion
|
||||
}
|
||||
if version == "" {
|
||||
version = "v1.1"
|
||||
}
|
||||
a.meta.Config.APIVersion = version
|
||||
if meta.IsStream {
|
||||
err, usage = StreamHandler(c, meta, *a.request, splits[0], splits[1], splits[2])
|
||||
} else {
|
||||
|
||||
@@ -6,4 +6,5 @@ var ModelList = []string{
|
||||
"SparkDesk-v2.1",
|
||||
"SparkDesk-v3.1",
|
||||
"SparkDesk-v3.5",
|
||||
"SparkDesk-v4.0",
|
||||
}
|
||||
|
||||
@@ -5,7 +5,14 @@ import (
|
||||
"crypto/sha256"
|
||||
"encoding/base64"
|
||||
"encoding/json"
|
||||
"errors"
|
||||
"fmt"
|
||||
"io"
|
||||
"net/http"
|
||||
"net/url"
|
||||
"strings"
|
||||
"time"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/gorilla/websocket"
|
||||
"github.com/songquanpeng/one-api/common"
|
||||
@@ -16,11 +23,6 @@ import (
|
||||
"github.com/songquanpeng/one-api/relay/constant"
|
||||
"github.com/songquanpeng/one-api/relay/meta"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
"io"
|
||||
"net/http"
|
||||
"net/url"
|
||||
"strings"
|
||||
"time"
|
||||
)
|
||||
|
||||
// https://console.xfyun.cn/services/cbm
|
||||
@@ -28,11 +30,7 @@ import (
|
||||
|
||||
func requestOpenAI2Xunfei(request model.GeneralOpenAIRequest, xunfeiAppId string, domain string) *ChatRequest {
|
||||
messages := make([]Message, 0, len(request.Messages))
|
||||
var lastToolCalls []model.Tool
|
||||
for _, message := range request.Messages {
|
||||
if message.ToolCalls != nil {
|
||||
lastToolCalls = message.ToolCalls
|
||||
}
|
||||
messages = append(messages, Message{
|
||||
Role: message.Role,
|
||||
Content: message.StringContent(),
|
||||
@@ -45,9 +43,14 @@ func requestOpenAI2Xunfei(request model.GeneralOpenAIRequest, xunfeiAppId string
|
||||
xunfeiRequest.Parameter.Chat.TopK = request.N
|
||||
xunfeiRequest.Parameter.Chat.MaxTokens = request.MaxTokens
|
||||
xunfeiRequest.Payload.Message.Text = messages
|
||||
if len(lastToolCalls) != 0 {
|
||||
for _, toolCall := range lastToolCalls {
|
||||
xunfeiRequest.Payload.Functions.Text = append(xunfeiRequest.Payload.Functions.Text, toolCall.Function)
|
||||
|
||||
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
|
||||
}
|
||||
xunfeiRequest.Payload.Functions = &Functions{
|
||||
Text: functions,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -203,7 +206,7 @@ func Handler(c *gin.Context, meta *meta.Meta, textRequest model.GeneralOpenAIReq
|
||||
}
|
||||
}
|
||||
if len(xunfeiResponse.Payload.Choices.Text) == 0 {
|
||||
return openai.ErrorWrapper(err, "xunfei_empty_response_detected", http.StatusInternalServerError), nil
|
||||
return openai.ErrorWrapper(errors.New("xunfei empty response detected"), "xunfei_empty_response_detected", http.StatusInternalServerError), nil
|
||||
}
|
||||
xunfeiResponse.Payload.Choices.Text[0].Content = content
|
||||
|
||||
@@ -287,6 +290,8 @@ func apiVersion2domain(apiVersion string) string {
|
||||
return "generalv3"
|
||||
case "v3.5":
|
||||
return "generalv3.5"
|
||||
case "v4.0":
|
||||
return "4.0Ultra"
|
||||
}
|
||||
return "general" + apiVersion
|
||||
}
|
||||
|
||||
@@ -9,6 +9,10 @@ type Message struct {
|
||||
Content string `json:"content"`
|
||||
}
|
||||
|
||||
type Functions struct {
|
||||
Text []model.Function `json:"text,omitempty"`
|
||||
}
|
||||
|
||||
type ChatRequest struct {
|
||||
Header struct {
|
||||
AppId string `json:"app_id"`
|
||||
@@ -26,9 +30,7 @@ type ChatRequest struct {
|
||||
Message struct {
|
||||
Text []Message `json:"text"`
|
||||
} `json:"message"`
|
||||
Functions struct {
|
||||
Text []model.Function `json:"text,omitempty"`
|
||||
} `json:"functions,omitempty"`
|
||||
Functions *Functions `json:"functions,omitempty"`
|
||||
} `json:"payload"`
|
||||
}
|
||||
|
||||
|
||||
@@ -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
|
||||
}
|
||||
|
||||
|
||||
Reference in New Issue
Block a user