mirror of
https://github.com/songquanpeng/one-api.git
synced 2025-11-20 07:03:42 +08:00
Compare commits
9 Commits
v0.6.11-al
...
2417b9878e
| Author | SHA1 | Date | |
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a5c517c27a | ||
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1ce6a226f6 | ||
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cafd0a0327 | ||
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8b8cd03e85 |
13
Dockerfile
13
Dockerfile
@@ -4,9 +4,10 @@ WORKDIR /web
|
||||
COPY ./VERSION .
|
||||
COPY ./web .
|
||||
|
||||
RUN npm install --prefix /web/default & \
|
||||
npm install --prefix /web/berry & \
|
||||
npm install --prefix /web/air & \
|
||||
RUN npm config set registry https://registry.npmmirror.com && \
|
||||
npm install --prefix /web/default --legacy-peer-deps --retry 5 & \
|
||||
npm install --prefix /web/berry --legacy-peer-deps --retry 5 & \
|
||||
npm install --prefix /web/air --legacy-peer-deps --retry 5 & \
|
||||
wait
|
||||
|
||||
RUN DISABLE_ESLINT_PLUGIN='true' REACT_APP_VERSION=$(cat ./VERSION) npm run build --prefix /web/default & \
|
||||
@@ -24,12 +25,14 @@ RUN apk add --no-cache \
|
||||
|
||||
ENV GO111MODULE=on \
|
||||
CGO_ENABLED=1 \
|
||||
GOOS=linux
|
||||
GOOS=linux \
|
||||
GOPROXY=https://goproxy.cn,direct \
|
||||
GOSUMDB=off
|
||||
|
||||
WORKDIR /build
|
||||
|
||||
ADD go.mod go.sum ./
|
||||
RUN go mod download
|
||||
RUN go mod download -x
|
||||
|
||||
COPY . .
|
||||
COPY --from=builder /web/build ./web/build
|
||||
|
||||
@@ -72,7 +72,7 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型,开箱即用
|
||||
+ [x] [Anthropic Claude 系列模型](https://anthropic.com) (支持 AWS Claude)
|
||||
+ [x] [Google PaLM2/Gemini 系列模型](https://developers.generativeai.google)
|
||||
+ [x] [Mistral 系列模型](https://mistral.ai/)
|
||||
+ [x] [字节跳动豆包大模型](https://console.volcengine.com/ark/region:ark+cn-beijing/model)
|
||||
+ [x] [字节跳动豆包大模型(火山引擎)](https://www.volcengine.com/experience/ark?utm_term=202502dsinvite&ac=DSASUQY5&rc=2QXCA1VI)
|
||||
+ [x] [百度文心一言系列模型](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html)
|
||||
+ [x] [阿里通义千问系列模型](https://help.aliyun.com/document_detail/2400395.html)
|
||||
+ [x] [讯飞星火认知大模型](https://www.xfyun.cn/doc/spark/Web.html)
|
||||
|
||||
@@ -36,6 +36,8 @@ func relayHelper(c *gin.Context, relayMode int) *model.ErrorWithStatusCode {
|
||||
err = controller.RelayAudioHelper(c, relayMode)
|
||||
case relaymode.Proxy:
|
||||
err = controller.RelayProxyHelper(c, relayMode)
|
||||
case relaymode.AnthropicMessages:
|
||||
err = controller.RelayAnthropicHelper(c)
|
||||
default:
|
||||
err = controller.RelayTextHelper(c)
|
||||
}
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
version: '3.4'
|
||||
|
||||
services:
|
||||
one-api:
|
||||
image: "${REGISTRY:-docker.io}/justsong/one-api:latest"
|
||||
# image: "${REGISTRY:-docker.io}/justsong/one-api:latest"
|
||||
build: .
|
||||
container_name: one-api
|
||||
platform: linux/amd64
|
||||
restart: always
|
||||
command: --log-dir /app/logs
|
||||
ports:
|
||||
|
||||
@@ -14,10 +14,14 @@ var ModelList = []string{
|
||||
"qwen2-72b-instruct", "qwen2-57b-a14b-instruct", "qwen2-7b-instruct", "qwen2-1.5b-instruct", "qwen2-0.5b-instruct",
|
||||
"qwen1.5-110b-chat", "qwen1.5-72b-chat", "qwen1.5-32b-chat", "qwen1.5-14b-chat", "qwen1.5-7b-chat", "qwen1.5-1.8b-chat", "qwen1.5-0.5b-chat",
|
||||
"qwen-72b-chat", "qwen-14b-chat", "qwen-7b-chat", "qwen-1.8b-chat", "qwen-1.8b-longcontext-chat",
|
||||
"qvq-72b-preview",
|
||||
"qwen2.5-vl-72b-instruct", "qwen2.5-vl-7b-instruct", "qwen2.5-vl-2b-instruct", "qwen2.5-vl-1b-instruct", "qwen2.5-vl-0.5b-instruct",
|
||||
"qwen2-vl-7b-instruct", "qwen2-vl-2b-instruct", "qwen-vl-v1", "qwen-vl-chat-v1",
|
||||
"qwen2-audio-instruct", "qwen-audio-chat",
|
||||
"qwen2.5-math-72b-instruct", "qwen2.5-math-7b-instruct", "qwen2.5-math-1.5b-instruct", "qwen2-math-72b-instruct", "qwen2-math-7b-instruct", "qwen2-math-1.5b-instruct",
|
||||
"qwen2.5-coder-32b-instruct", "qwen2.5-coder-14b-instruct", "qwen2.5-coder-7b-instruct", "qwen2.5-coder-3b-instruct", "qwen2.5-coder-1.5b-instruct", "qwen2.5-coder-0.5b-instruct",
|
||||
"text-embedding-v1", "text-embedding-v3", "text-embedding-v2", "text-embedding-async-v2", "text-embedding-async-v1",
|
||||
"ali-stable-diffusion-xl", "ali-stable-diffusion-v1.5", "wanx-v1",
|
||||
"qwen-mt-plus", "qwen-mt-turbo",
|
||||
"deepseek-r1", "deepseek-v3", "deepseek-r1-distill-qwen-1.5b", "deepseek-r1-distill-qwen-7b", "deepseek-r1-distill-qwen-14b", "deepseek-r1-distill-qwen-32b", "deepseek-r1-distill-llama-8b", "deepseek-r1-distill-llama-70b",
|
||||
}
|
||||
|
||||
@@ -11,6 +11,7 @@ import (
|
||||
"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 {
|
||||
@@ -21,7 +22,15 @@ func (a *Adaptor) Init(meta *meta.Meta) {
|
||||
}
|
||||
|
||||
func (a *Adaptor) GetRequestURL(meta *meta.Meta) (string, error) {
|
||||
return fmt.Sprintf("%s/v1/messages", meta.BaseURL), nil
|
||||
// For native Anthropic API
|
||||
if strings.Contains(meta.BaseURL, "api.anthropic.com") {
|
||||
return fmt.Sprintf("%s/v1/messages", meta.BaseURL), nil
|
||||
}
|
||||
|
||||
// For third-party providers supporting Anthropic protocol (like DeepSeek)
|
||||
// They typically expose the endpoint at /anthropic/v1/messages
|
||||
baseURL := strings.TrimSuffix(meta.BaseURL, "/")
|
||||
return fmt.Sprintf("%s/anthropic/v1/messages", baseURL), nil
|
||||
}
|
||||
|
||||
func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Request, meta *meta.Meta) error {
|
||||
@@ -47,6 +56,15 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
|
||||
if request == nil {
|
||||
return nil, errors.New("request is nil")
|
||||
}
|
||||
|
||||
// For native Anthropic protocol requests, return the request as-is (no conversion needed)
|
||||
if relayMode == relaymode.AnthropicMessages {
|
||||
// The request should already be in Anthropic format, so we pass it through
|
||||
// This will be handled by the caller which already has the anthropic request
|
||||
return request, nil
|
||||
}
|
||||
|
||||
// For OpenAI to Anthropic conversion (existing functionality)
|
||||
return ConvertRequest(*request), nil
|
||||
}
|
||||
|
||||
@@ -62,6 +80,17 @@ func (a *Adaptor) DoRequest(c *gin.Context, meta *meta.Meta, requestBody io.Read
|
||||
}
|
||||
|
||||
func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, meta *meta.Meta) (usage *model.Usage, err *model.ErrorWithStatusCode) {
|
||||
// For native Anthropic protocol requests, handle response directly without conversion
|
||||
if meta.Mode == relaymode.AnthropicMessages {
|
||||
if meta.IsStream {
|
||||
err, usage = DirectStreamHandler(c, resp)
|
||||
} else {
|
||||
err, usage = DirectHandler(c, resp, meta.PromptTokens, meta.ActualModelName)
|
||||
}
|
||||
return
|
||||
}
|
||||
|
||||
// For OpenAI to Anthropic conversion (existing functionality)
|
||||
if meta.IsStream {
|
||||
err, usage = StreamHandler(c, resp)
|
||||
} else {
|
||||
|
||||
@@ -4,11 +4,12 @@ import (
|
||||
"bufio"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/songquanpeng/one-api/common/render"
|
||||
"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/helper"
|
||||
@@ -89,8 +90,12 @@ func ConvertRequest(textRequest model.GeneralOpenAIRequest) *Request {
|
||||
claudeRequest.Model = "claude-2.1"
|
||||
}
|
||||
for _, message := range textRequest.Messages {
|
||||
if message.Role == "system" && claudeRequest.System == "" {
|
||||
claudeRequest.System = message.StringContent()
|
||||
if message.Role == "system" && claudeRequest.System.IsEmpty() {
|
||||
// Create a SystemPrompt from the string content
|
||||
systemPrompt := SystemPrompt{}
|
||||
systemData := []byte(`"` + message.StringContent() + `"`) // Wrap in JSON string quotes
|
||||
_ = systemPrompt.UnmarshalJSON(systemData)
|
||||
claudeRequest.System = systemPrompt
|
||||
continue
|
||||
}
|
||||
claudeMessage := Message{
|
||||
@@ -377,3 +382,131 @@ func Handler(c *gin.Context, resp *http.Response, promptTokens int, modelName st
|
||||
_, err = c.Writer.Write(jsonResponse)
|
||||
return nil, &usage
|
||||
}
|
||||
|
||||
// DirectHandler handles native Anthropic API responses without conversion to OpenAI format
|
||||
func DirectHandler(c *gin.Context, resp *http.Response, promptTokens int, modelName string) (*model.ErrorWithStatusCode, *model.Usage) {
|
||||
ctx := c.Request.Context()
|
||||
logger.Infof(ctx, "=== DirectHandler Start ===")
|
||||
logger.Infof(ctx, "Response status: %d", resp.StatusCode)
|
||||
logger.Infof(ctx, "Response headers: %+v", resp.Header)
|
||||
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
logger.Errorf(ctx, "Failed to read response body: %s", err.Error())
|
||||
return openai.ErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
logger.Errorf(ctx, "Failed to close response body: %s", err.Error())
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
|
||||
logger.Infof(ctx, "Raw response body: %s", string(responseBody))
|
||||
|
||||
var claudeResponse Response
|
||||
err = json.Unmarshal(responseBody, &claudeResponse)
|
||||
if err != nil {
|
||||
logger.Errorf(ctx, "Failed to unmarshal response: %s", err.Error())
|
||||
// If we can't parse as Anthropic response, maybe it's an error response
|
||||
// Let's try to write it directly and see what happens
|
||||
c.Writer.Header().Set("Content-Type", "application/json")
|
||||
c.Writer.WriteHeader(resp.StatusCode)
|
||||
_, writeErr := c.Writer.Write(responseBody)
|
||||
if writeErr != nil {
|
||||
logger.Errorf(ctx, "Failed to write raw response: %s", writeErr.Error())
|
||||
return openai.ErrorWrapper(writeErr, "write_response_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
// Return a minimal usage for tracking
|
||||
usage := &model.Usage{PromptTokens: promptTokens, CompletionTokens: 0, TotalTokens: promptTokens}
|
||||
return nil, usage
|
||||
}
|
||||
|
||||
logger.Infof(ctx, "Parsed response - ID: %s, Model: %s, Usage: %+v",
|
||||
claudeResponse.Id, claudeResponse.Model, claudeResponse.Usage)
|
||||
|
||||
if claudeResponse.Error.Type != "" {
|
||||
logger.Errorf(ctx, "Anthropic API error: %s - %s", claudeResponse.Error.Type, claudeResponse.Error.Message)
|
||||
return &model.ErrorWithStatusCode{
|
||||
Error: model.Error{
|
||||
Message: claudeResponse.Error.Message,
|
||||
Type: claudeResponse.Error.Type,
|
||||
Param: "",
|
||||
Code: claudeResponse.Error.Type,
|
||||
},
|
||||
StatusCode: resp.StatusCode,
|
||||
}, nil
|
||||
}
|
||||
|
||||
// For direct mode, return the response as-is without conversion
|
||||
usage := model.Usage{
|
||||
PromptTokens: claudeResponse.Usage.InputTokens,
|
||||
CompletionTokens: claudeResponse.Usage.OutputTokens,
|
||||
TotalTokens: claudeResponse.Usage.InputTokens + claudeResponse.Usage.OutputTokens,
|
||||
}
|
||||
|
||||
logger.Infof(ctx, "Usage calculated: %+v", usage)
|
||||
|
||||
// Write the original Anthropic response directly
|
||||
c.Writer.Header().Set("Content-Type", "application/json")
|
||||
c.Writer.WriteHeader(resp.StatusCode)
|
||||
_, err = c.Writer.Write(responseBody)
|
||||
if err != nil {
|
||||
logger.Errorf(ctx, "Failed to write response: %s", err.Error())
|
||||
return openai.ErrorWrapper(err, "write_response_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
|
||||
logger.Infof(ctx, "Response written successfully")
|
||||
logger.Infof(ctx, "=== DirectHandler End ===")
|
||||
return nil, &usage
|
||||
}
|
||||
|
||||
// DirectStreamHandler handles native Anthropic API streaming responses without conversion
|
||||
func DirectStreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusCode, *model.Usage) {
|
||||
defer resp.Body.Close()
|
||||
|
||||
// Set headers for streaming
|
||||
c.Writer.Header().Set("Content-Type", "text/event-stream")
|
||||
c.Writer.Header().Set("Cache-Control", "no-cache")
|
||||
c.Writer.Header().Set("Connection", "keep-alive")
|
||||
c.Writer.Header().Set("Access-Control-Allow-Origin", "*")
|
||||
c.Writer.Header().Set("Access-Control-Allow-Headers", "Content-Type")
|
||||
c.Writer.WriteHeader(resp.StatusCode)
|
||||
|
||||
// Stream the response directly without conversion
|
||||
var usage model.Usage
|
||||
scanner := bufio.NewScanner(resp.Body)
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
if len(data) < 6 || !strings.HasPrefix(data, "data:") {
|
||||
continue
|
||||
}
|
||||
|
||||
// Parse usage information if available
|
||||
if strings.Contains(data, "\"usage\":") {
|
||||
var eventData map[string]interface{}
|
||||
jsonData := strings.TrimPrefix(data, "data:")
|
||||
jsonData = strings.TrimSpace(jsonData)
|
||||
if err := json.Unmarshal([]byte(jsonData), &eventData); err == nil {
|
||||
if usageData, ok := eventData["usage"].(map[string]interface{}); ok {
|
||||
if inputTokens, ok := usageData["input_tokens"].(float64); ok {
|
||||
usage.PromptTokens = int(inputTokens)
|
||||
}
|
||||
if outputTokens, ok := usageData["output_tokens"].(float64); ok {
|
||||
usage.CompletionTokens = int(outputTokens)
|
||||
usage.TotalTokens = usage.PromptTokens + usage.CompletionTokens
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Write data directly to the response
|
||||
c.Writer.WriteString(data + "\n")
|
||||
c.Writer.Flush()
|
||||
}
|
||||
|
||||
if err := scanner.Err(); err != nil {
|
||||
return openai.ErrorWrapper(err, "stream_read_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
|
||||
return nil, &usage
|
||||
}
|
||||
|
||||
@@ -1,5 +1,10 @@
|
||||
package anthropic
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
)
|
||||
|
||||
// https://docs.anthropic.com/claude/reference/messages_post
|
||||
|
||||
type Metadata struct {
|
||||
@@ -41,18 +46,92 @@ type InputSchema struct {
|
||||
Required any `json:"required,omitempty"`
|
||||
}
|
||||
|
||||
// SystemPrompt can handle both string and array formats for the system field
|
||||
type SystemPrompt struct {
|
||||
value interface{}
|
||||
}
|
||||
|
||||
// UnmarshalJSON implements json.Unmarshaler to handle both string and array formats
|
||||
func (s *SystemPrompt) UnmarshalJSON(data []byte) error {
|
||||
// Try to unmarshal as string first
|
||||
var str string
|
||||
if err := json.Unmarshal(data, &str); err == nil {
|
||||
s.value = str
|
||||
return nil
|
||||
}
|
||||
|
||||
// If that fails, try to unmarshal as array
|
||||
var arr []interface{}
|
||||
if err := json.Unmarshal(data, &arr); err == nil {
|
||||
s.value = arr
|
||||
return nil
|
||||
}
|
||||
|
||||
return fmt.Errorf("system field must be either a string or an array")
|
||||
}
|
||||
|
||||
// MarshalJSON implements json.Marshaler
|
||||
func (s SystemPrompt) MarshalJSON() ([]byte, error) {
|
||||
return json.Marshal(s.value)
|
||||
}
|
||||
|
||||
// String returns the system prompt as a string
|
||||
func (s SystemPrompt) String() string {
|
||||
if s.value == nil {
|
||||
return ""
|
||||
}
|
||||
|
||||
switch v := s.value.(type) {
|
||||
case string:
|
||||
return v
|
||||
case []interface{}:
|
||||
// Convert array to string by concatenating text content
|
||||
var result string
|
||||
for _, item := range v {
|
||||
if itemMap, ok := item.(map[string]interface{}); ok {
|
||||
if text, exists := itemMap["text"]; exists {
|
||||
if textStr, ok := text.(string); ok {
|
||||
result += textStr + " "
|
||||
}
|
||||
}
|
||||
} else if str, ok := item.(string); ok {
|
||||
result += str + " "
|
||||
}
|
||||
}
|
||||
return result
|
||||
default:
|
||||
return fmt.Sprintf("%v", v)
|
||||
}
|
||||
}
|
||||
|
||||
// IsEmpty returns true if the system prompt is empty
|
||||
func (s SystemPrompt) IsEmpty() bool {
|
||||
if s.value == nil {
|
||||
return true
|
||||
}
|
||||
|
||||
switch v := s.value.(type) {
|
||||
case string:
|
||||
return v == ""
|
||||
case []interface{}:
|
||||
return len(v) == 0
|
||||
default:
|
||||
return false
|
||||
}
|
||||
}
|
||||
|
||||
type Request struct {
|
||||
Model string `json:"model"`
|
||||
Messages []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 []Tool `json:"tools,omitempty"`
|
||||
ToolChoice any `json:"tool_choice,omitempty"`
|
||||
Model string `json:"model"`
|
||||
Messages []Message `json:"messages"`
|
||||
System SystemPrompt `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 []Tool `json:"tools,omitempty"`
|
||||
ToolChoice any `json:"tool_choice,omitempty"`
|
||||
//Metadata `json:"metadata,omitempty"`
|
||||
}
|
||||
|
||||
|
||||
@@ -1,18 +1,12 @@
|
||||
package gemini
|
||||
|
||||
import (
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/geminiv2"
|
||||
)
|
||||
|
||||
// https://ai.google.dev/models/gemini
|
||||
|
||||
var ModelList = []string{
|
||||
"gemini-pro", "gemini-1.0-pro",
|
||||
// "gemma-2-2b-it", "gemma-2-9b-it", "gemma-2-27b-it",
|
||||
"gemini-1.5-flash", "gemini-1.5-flash-8b",
|
||||
"gemini-1.5-pro", "gemini-1.5-pro-experimental",
|
||||
"text-embedding-004", "aqa",
|
||||
"gemini-2.0-flash", "gemini-2.0-flash-exp",
|
||||
"gemini-2.0-flash-lite-preview-02-05",
|
||||
"gemini-2.0-flash-thinking-exp-01-21",
|
||||
"gemini-2.0-pro-exp-02-05",
|
||||
}
|
||||
var ModelList = geminiv2.ModelList
|
||||
|
||||
// ModelsSupportSystemInstruction is the list of models that support system instruction.
|
||||
//
|
||||
|
||||
15
relay/adaptor/geminiv2/constants.go
Normal file
15
relay/adaptor/geminiv2/constants.go
Normal file
@@ -0,0 +1,15 @@
|
||||
package geminiv2
|
||||
|
||||
// https://ai.google.dev/models/gemini
|
||||
|
||||
var ModelList = []string{
|
||||
"gemini-pro", "gemini-1.0-pro",
|
||||
// "gemma-2-2b-it", "gemma-2-9b-it", "gemma-2-27b-it",
|
||||
"gemini-1.5-flash", "gemini-1.5-flash-8b",
|
||||
"gemini-1.5-pro", "gemini-1.5-pro-experimental",
|
||||
"text-embedding-004", "aqa",
|
||||
"gemini-2.0-flash", "gemini-2.0-flash-exp",
|
||||
"gemini-2.0-flash-lite-preview-02-05",
|
||||
"gemini-2.0-flash-thinking-exp-01-21",
|
||||
"gemini-2.0-pro-exp-02-05",
|
||||
}
|
||||
14
relay/adaptor/geminiv2/main.go
Normal file
14
relay/adaptor/geminiv2/main.go
Normal file
@@ -0,0 +1,14 @@
|
||||
package geminiv2
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"strings"
|
||||
|
||||
"github.com/songquanpeng/one-api/relay/meta"
|
||||
)
|
||||
|
||||
func GetRequestURL(meta *meta.Meta) (string, error) {
|
||||
baseURL := strings.TrimSuffix(meta.BaseURL, "/")
|
||||
requestPath := strings.TrimPrefix(meta.RequestURLPath, "/v1")
|
||||
return fmt.Sprintf("%s%s", baseURL, requestPath), nil
|
||||
}
|
||||
@@ -13,6 +13,7 @@ import (
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/alibailian"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/baiduv2"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/doubao"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/geminiv2"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/minimax"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/novita"
|
||||
"github.com/songquanpeng/one-api/relay/channeltype"
|
||||
@@ -59,6 +60,8 @@ func (a *Adaptor) GetRequestURL(meta *meta.Meta) (string, error) {
|
||||
return baiduv2.GetRequestURL(meta)
|
||||
case channeltype.AliBailian:
|
||||
return alibailian.GetRequestURL(meta)
|
||||
case channeltype.GeminiOpenAICompatible:
|
||||
return geminiv2.GetRequestURL(meta)
|
||||
default:
|
||||
return GetFullRequestURL(meta.BaseURL, meta.RequestURLPath, meta.ChannelType), nil
|
||||
}
|
||||
|
||||
@@ -7,6 +7,7 @@ import (
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/baiduv2"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/deepseek"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/doubao"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/geminiv2"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/groq"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/lingyiwanwu"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/minimax"
|
||||
@@ -82,6 +83,8 @@ func GetCompatibleChannelMeta(channelType int) (string, []string) {
|
||||
return "openrouter", openrouter.ModelList
|
||||
case channeltype.AliBailian:
|
||||
return "alibailian", alibailian.ModelList
|
||||
case channeltype.GeminiOpenAICompatible:
|
||||
return "geminiv2", geminiv2.ModelList
|
||||
default:
|
||||
return "openai", ModelList
|
||||
}
|
||||
|
||||
@@ -17,6 +17,9 @@ func ResponseText2Usage(responseText string, modelName string, promptTokens int)
|
||||
}
|
||||
|
||||
func GetFullRequestURL(baseURL string, requestURL string, channelType int) string {
|
||||
if channelType == channeltype.OpenAICompatible {
|
||||
return fmt.Sprintf("%s%s", strings.TrimSuffix(baseURL, "/"), strings.TrimPrefix(requestURL, "/v1"))
|
||||
}
|
||||
fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL)
|
||||
|
||||
if strings.HasPrefix(baseURL, "https://gateway.ai.cloudflare.com") {
|
||||
|
||||
@@ -1,20 +1,235 @@
|
||||
package openrouter
|
||||
|
||||
var ModelList = []string{
|
||||
"openai/gpt-3.5-turbo",
|
||||
"openai/chatgpt-4o-latest",
|
||||
"openai/o1",
|
||||
"openai/o1-preview",
|
||||
"openai/o1-mini",
|
||||
"openai/o3-mini",
|
||||
"google/gemini-2.0-flash-001",
|
||||
"google/gemini-2.0-flash-thinking-exp:free",
|
||||
"google/gemini-2.0-flash-lite-preview-02-05:free",
|
||||
"google/gemini-2.0-pro-exp-02-05:free",
|
||||
"google/gemini-flash-1.5-8b",
|
||||
"anthropic/claude-3.5-sonnet",
|
||||
"01-ai/yi-large",
|
||||
"aetherwiing/mn-starcannon-12b",
|
||||
"ai21/jamba-1-5-large",
|
||||
"ai21/jamba-1-5-mini",
|
||||
"ai21/jamba-instruct",
|
||||
"aion-labs/aion-1.0",
|
||||
"aion-labs/aion-1.0-mini",
|
||||
"aion-labs/aion-rp-llama-3.1-8b",
|
||||
"allenai/llama-3.1-tulu-3-405b",
|
||||
"alpindale/goliath-120b",
|
||||
"alpindale/magnum-72b",
|
||||
"amazon/nova-lite-v1",
|
||||
"amazon/nova-micro-v1",
|
||||
"amazon/nova-pro-v1",
|
||||
"anthracite-org/magnum-v2-72b",
|
||||
"anthracite-org/magnum-v4-72b",
|
||||
"anthropic/claude-2",
|
||||
"anthropic/claude-2.0",
|
||||
"anthropic/claude-2.0:beta",
|
||||
"anthropic/claude-2.1",
|
||||
"anthropic/claude-2.1:beta",
|
||||
"anthropic/claude-2:beta",
|
||||
"anthropic/claude-3-haiku",
|
||||
"anthropic/claude-3-haiku:beta",
|
||||
"anthropic/claude-3-opus",
|
||||
"anthropic/claude-3-opus:beta",
|
||||
"anthropic/claude-3-sonnet",
|
||||
"anthropic/claude-3-sonnet:beta",
|
||||
"anthropic/claude-3.5-haiku",
|
||||
"deepseek/deepseek-r1:free",
|
||||
"anthropic/claude-3.5-haiku-20241022",
|
||||
"anthropic/claude-3.5-haiku-20241022:beta",
|
||||
"anthropic/claude-3.5-haiku:beta",
|
||||
"anthropic/claude-3.5-sonnet",
|
||||
"anthropic/claude-3.5-sonnet-20240620",
|
||||
"anthropic/claude-3.5-sonnet-20240620:beta",
|
||||
"anthropic/claude-3.5-sonnet:beta",
|
||||
"cognitivecomputations/dolphin-mixtral-8x22b",
|
||||
"cognitivecomputations/dolphin-mixtral-8x7b",
|
||||
"cohere/command",
|
||||
"cohere/command-r",
|
||||
"cohere/command-r-03-2024",
|
||||
"cohere/command-r-08-2024",
|
||||
"cohere/command-r-plus",
|
||||
"cohere/command-r-plus-04-2024",
|
||||
"cohere/command-r-plus-08-2024",
|
||||
"cohere/command-r7b-12-2024",
|
||||
"databricks/dbrx-instruct",
|
||||
"deepseek/deepseek-chat",
|
||||
"deepseek/deepseek-chat-v2.5",
|
||||
"deepseek/deepseek-chat:free",
|
||||
"deepseek/deepseek-r1",
|
||||
"deepseek/deepseek-r1-distill-llama-70b",
|
||||
"deepseek/deepseek-r1-distill-llama-70b:free",
|
||||
"deepseek/deepseek-r1-distill-llama-8b",
|
||||
"deepseek/deepseek-r1-distill-qwen-1.5b",
|
||||
"deepseek/deepseek-r1-distill-qwen-14b",
|
||||
"deepseek/deepseek-r1-distill-qwen-32b",
|
||||
"deepseek/deepseek-r1:free",
|
||||
"eva-unit-01/eva-llama-3.33-70b",
|
||||
"eva-unit-01/eva-qwen-2.5-32b",
|
||||
"eva-unit-01/eva-qwen-2.5-72b",
|
||||
"google/gemini-2.0-flash-001",
|
||||
"google/gemini-2.0-flash-exp:free",
|
||||
"google/gemini-2.0-flash-lite-preview-02-05:free",
|
||||
"google/gemini-2.0-flash-thinking-exp-1219:free",
|
||||
"google/gemini-2.0-flash-thinking-exp:free",
|
||||
"google/gemini-2.0-pro-exp-02-05:free",
|
||||
"google/gemini-exp-1206:free",
|
||||
"google/gemini-flash-1.5",
|
||||
"google/gemini-flash-1.5-8b",
|
||||
"google/gemini-flash-1.5-8b-exp",
|
||||
"google/gemini-pro",
|
||||
"google/gemini-pro-1.5",
|
||||
"google/gemini-pro-vision",
|
||||
"google/gemma-2-27b-it",
|
||||
"google/gemma-2-9b-it",
|
||||
"google/gemma-2-9b-it:free",
|
||||
"google/gemma-7b-it",
|
||||
"google/learnlm-1.5-pro-experimental:free",
|
||||
"google/palm-2-chat-bison",
|
||||
"google/palm-2-chat-bison-32k",
|
||||
"google/palm-2-codechat-bison",
|
||||
"google/palm-2-codechat-bison-32k",
|
||||
"gryphe/mythomax-l2-13b",
|
||||
"gryphe/mythomax-l2-13b:free",
|
||||
"huggingfaceh4/zephyr-7b-beta:free",
|
||||
"infermatic/mn-inferor-12b",
|
||||
"inflection/inflection-3-pi",
|
||||
"inflection/inflection-3-productivity",
|
||||
"jondurbin/airoboros-l2-70b",
|
||||
"liquid/lfm-3b",
|
||||
"liquid/lfm-40b",
|
||||
"liquid/lfm-7b",
|
||||
"mancer/weaver",
|
||||
"meta-llama/llama-2-13b-chat",
|
||||
"meta-llama/llama-2-70b-chat",
|
||||
"meta-llama/llama-3-70b-instruct",
|
||||
"meta-llama/llama-3-8b-instruct",
|
||||
"meta-llama/llama-3-8b-instruct:free",
|
||||
"meta-llama/llama-3.1-405b",
|
||||
"meta-llama/llama-3.1-405b-instruct",
|
||||
"meta-llama/llama-3.1-70b-instruct",
|
||||
"meta-llama/llama-3.1-8b-instruct",
|
||||
"meta-llama/llama-3.2-11b-vision-instruct",
|
||||
"meta-llama/llama-3.2-11b-vision-instruct:free",
|
||||
"meta-llama/llama-3.2-1b-instruct",
|
||||
"meta-llama/llama-3.2-3b-instruct",
|
||||
"meta-llama/llama-3.2-90b-vision-instruct",
|
||||
"meta-llama/llama-3.3-70b-instruct",
|
||||
"meta-llama/llama-3.3-70b-instruct:free",
|
||||
"meta-llama/llama-guard-2-8b",
|
||||
"microsoft/phi-3-medium-128k-instruct",
|
||||
"microsoft/phi-3-medium-128k-instruct:free",
|
||||
"microsoft/phi-3-mini-128k-instruct",
|
||||
"microsoft/phi-3-mini-128k-instruct:free",
|
||||
"microsoft/phi-3.5-mini-128k-instruct",
|
||||
"microsoft/phi-4",
|
||||
"microsoft/wizardlm-2-7b",
|
||||
"microsoft/wizardlm-2-8x22b",
|
||||
"minimax/minimax-01",
|
||||
"mistralai/codestral-2501",
|
||||
"mistralai/codestral-mamba",
|
||||
"mistralai/ministral-3b",
|
||||
"mistralai/ministral-8b",
|
||||
"mistralai/mistral-7b-instruct",
|
||||
"mistralai/mistral-7b-instruct-v0.1",
|
||||
"mistralai/mistral-7b-instruct-v0.3",
|
||||
"mistralai/mistral-7b-instruct:free",
|
||||
"mistralai/mistral-large",
|
||||
"mistralai/mistral-large-2407",
|
||||
"mistralai/mistral-large-2411",
|
||||
"mistralai/mistral-medium",
|
||||
"mistralai/mistral-nemo",
|
||||
"mistralai/mistral-nemo:free",
|
||||
"mistralai/mistral-small",
|
||||
"mistralai/mistral-small-24b-instruct-2501",
|
||||
"mistralai/mistral-small-24b-instruct-2501:free",
|
||||
"mistralai/mistral-tiny",
|
||||
"mistralai/mixtral-8x22b-instruct",
|
||||
"mistralai/mixtral-8x7b",
|
||||
"mistralai/mixtral-8x7b-instruct",
|
||||
"mistralai/pixtral-12b",
|
||||
"mistralai/pixtral-large-2411",
|
||||
"neversleep/llama-3-lumimaid-70b",
|
||||
"neversleep/llama-3-lumimaid-8b",
|
||||
"neversleep/llama-3-lumimaid-8b:extended",
|
||||
"neversleep/llama-3.1-lumimaid-70b",
|
||||
"neversleep/llama-3.1-lumimaid-8b",
|
||||
"neversleep/noromaid-20b",
|
||||
"nothingiisreal/mn-celeste-12b",
|
||||
"nousresearch/hermes-2-pro-llama-3-8b",
|
||||
"nousresearch/hermes-3-llama-3.1-405b",
|
||||
"nousresearch/hermes-3-llama-3.1-70b",
|
||||
"nousresearch/nous-hermes-2-mixtral-8x7b-dpo",
|
||||
"nousresearch/nous-hermes-llama2-13b",
|
||||
"nvidia/llama-3.1-nemotron-70b-instruct",
|
||||
"nvidia/llama-3.1-nemotron-70b-instruct:free",
|
||||
"openai/chatgpt-4o-latest",
|
||||
"openai/gpt-3.5-turbo",
|
||||
"openai/gpt-3.5-turbo-0125",
|
||||
"openai/gpt-3.5-turbo-0613",
|
||||
"openai/gpt-3.5-turbo-1106",
|
||||
"openai/gpt-3.5-turbo-16k",
|
||||
"openai/gpt-3.5-turbo-instruct",
|
||||
"openai/gpt-4",
|
||||
"openai/gpt-4-0314",
|
||||
"openai/gpt-4-1106-preview",
|
||||
"openai/gpt-4-32k",
|
||||
"openai/gpt-4-32k-0314",
|
||||
"openai/gpt-4-turbo",
|
||||
"openai/gpt-4-turbo-preview",
|
||||
"openai/gpt-4o",
|
||||
"openai/gpt-4o-2024-05-13",
|
||||
"openai/gpt-4o-2024-08-06",
|
||||
"openai/gpt-4o-2024-11-20",
|
||||
"openai/gpt-4o-mini",
|
||||
"openai/gpt-4o-mini-2024-07-18",
|
||||
"openai/gpt-4o:extended",
|
||||
"openai/o1",
|
||||
"openai/o1-mini",
|
||||
"openai/o1-mini-2024-09-12",
|
||||
"openai/o1-preview",
|
||||
"openai/o1-preview-2024-09-12",
|
||||
"openai/o3-mini",
|
||||
"openai/o3-mini-high",
|
||||
"openchat/openchat-7b",
|
||||
"openchat/openchat-7b:free",
|
||||
"openrouter/auto",
|
||||
"perplexity/llama-3.1-sonar-huge-128k-online",
|
||||
"perplexity/llama-3.1-sonar-large-128k-chat",
|
||||
"perplexity/llama-3.1-sonar-large-128k-online",
|
||||
"perplexity/llama-3.1-sonar-small-128k-chat",
|
||||
"perplexity/llama-3.1-sonar-small-128k-online",
|
||||
"perplexity/sonar",
|
||||
"perplexity/sonar-reasoning",
|
||||
"pygmalionai/mythalion-13b",
|
||||
"qwen/qvq-72b-preview",
|
||||
"qwen/qwen-2-72b-instruct",
|
||||
"qwen/qwen-2-7b-instruct",
|
||||
"qwen/qwen-2-7b-instruct:free",
|
||||
"qwen/qwen-2-vl-72b-instruct",
|
||||
"qwen/qwen-2-vl-7b-instruct",
|
||||
"qwen/qwen-2.5-72b-instruct",
|
||||
"qwen/qwen-2.5-7b-instruct",
|
||||
"qwen/qwen-2.5-coder-32b-instruct",
|
||||
"qwen/qwen-max",
|
||||
"qwen/qwen-plus",
|
||||
"qwen/qwen-turbo",
|
||||
"qwen/qwen-vl-plus:free",
|
||||
"qwen/qwen2.5-vl-72b-instruct:free",
|
||||
"qwen/qwq-32b-preview",
|
||||
"raifle/sorcererlm-8x22b",
|
||||
"sao10k/fimbulvetr-11b-v2",
|
||||
"sao10k/l3-euryale-70b",
|
||||
"sao10k/l3-lunaris-8b",
|
||||
"sao10k/l3.1-70b-hanami-x1",
|
||||
"sao10k/l3.1-euryale-70b",
|
||||
"sao10k/l3.3-euryale-70b",
|
||||
"sophosympatheia/midnight-rose-70b",
|
||||
"sophosympatheia/rogue-rose-103b-v0.2:free",
|
||||
"teknium/openhermes-2.5-mistral-7b",
|
||||
"thedrummer/rocinante-12b",
|
||||
"thedrummer/unslopnemo-12b",
|
||||
"undi95/remm-slerp-l2-13b",
|
||||
"undi95/toppy-m-7b",
|
||||
"undi95/toppy-m-7b:free",
|
||||
"x-ai/grok-2-1212",
|
||||
"x-ai/grok-2-vision-1212",
|
||||
"x-ai/grok-beta",
|
||||
"x-ai/grok-vision-beta",
|
||||
"xwin-lm/xwin-lm-70b",
|
||||
}
|
||||
|
||||
@@ -36,7 +36,7 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
|
||||
AnthropicVersion: anthropicVersion,
|
||||
// Model: claudeReq.Model,
|
||||
Messages: claudeReq.Messages,
|
||||
System: claudeReq.System,
|
||||
System: claudeReq.System.String(), // Convert SystemPrompt to string
|
||||
MaxTokens: claudeReq.MaxTokens,
|
||||
Temperature: claudeReq.Temperature,
|
||||
TopP: claudeReq.TopP,
|
||||
|
||||
@@ -59,6 +59,8 @@ var ModelRatio = map[string]float64{
|
||||
"o1-preview-2024-09-12": 7.5,
|
||||
"o1-mini": 1.5, // $3.00 / 1M input tokens
|
||||
"o1-mini-2024-09-12": 1.5,
|
||||
"o3-mini": 1.5, // $3.00 / 1M input tokens
|
||||
"o3-mini-2025-01-31": 1.5,
|
||||
"davinci-002": 1, // $0.002 / 1K tokens
|
||||
"babbage-002": 0.2, // $0.0004 / 1K tokens
|
||||
"text-ada-001": 0.2,
|
||||
@@ -159,91 +161,105 @@ var ModelRatio = map[string]float64{
|
||||
"embedding-2": 0.0005 * RMB,
|
||||
"embedding-3": 0.0005 * RMB,
|
||||
// https://help.aliyun.com/zh/dashscope/developer-reference/tongyi-thousand-questions-metering-and-billing
|
||||
"qwen-turbo": 1.4286, // ¥0.02 / 1k tokens
|
||||
"qwen-turbo-latest": 1.4286,
|
||||
"qwen-plus": 1.4286,
|
||||
"qwen-plus-latest": 1.4286,
|
||||
"qwen-max": 1.4286,
|
||||
"qwen-max-latest": 1.4286,
|
||||
"qwen-max-longcontext": 1.4286,
|
||||
"qwen-vl-max": 1.4286,
|
||||
"qwen-vl-max-latest": 1.4286,
|
||||
"qwen-vl-plus": 1.4286,
|
||||
"qwen-vl-plus-latest": 1.4286,
|
||||
"qwen-vl-ocr": 1.4286,
|
||||
"qwen-vl-ocr-latest": 1.4286,
|
||||
"qwen-audio-turbo": 1.4286,
|
||||
"qwen-math-plus": 1.4286,
|
||||
"qwen-math-plus-latest": 1.4286,
|
||||
"qwen-math-turbo": 1.4286,
|
||||
"qwen-math-turbo-latest": 1.4286,
|
||||
"qwen-coder-plus": 1.4286,
|
||||
"qwen-coder-plus-latest": 1.4286,
|
||||
"qwen-coder-turbo": 1.4286,
|
||||
"qwen-coder-turbo-latest": 1.4286,
|
||||
"qwq-32b-preview": 1.4286,
|
||||
"qwen2.5-72b-instruct": 1.4286,
|
||||
"qwen2.5-32b-instruct": 1.4286,
|
||||
"qwen2.5-14b-instruct": 1.4286,
|
||||
"qwen2.5-7b-instruct": 1.4286,
|
||||
"qwen2.5-3b-instruct": 1.4286,
|
||||
"qwen2.5-1.5b-instruct": 1.4286,
|
||||
"qwen2.5-0.5b-instruct": 1.4286,
|
||||
"qwen2-72b-instruct": 1.4286,
|
||||
"qwen2-57b-a14b-instruct": 1.4286,
|
||||
"qwen2-7b-instruct": 1.4286,
|
||||
"qwen2-1.5b-instruct": 1.4286,
|
||||
"qwen2-0.5b-instruct": 1.4286,
|
||||
"qwen1.5-110b-chat": 1.4286,
|
||||
"qwen1.5-72b-chat": 1.4286,
|
||||
"qwen1.5-32b-chat": 1.4286,
|
||||
"qwen1.5-14b-chat": 1.4286,
|
||||
"qwen1.5-7b-chat": 1.4286,
|
||||
"qwen1.5-1.8b-chat": 1.4286,
|
||||
"qwen1.5-0.5b-chat": 1.4286,
|
||||
"qwen-72b-chat": 1.4286,
|
||||
"qwen-14b-chat": 1.4286,
|
||||
"qwen-7b-chat": 1.4286,
|
||||
"qwen-1.8b-chat": 1.4286,
|
||||
"qwen-1.8b-longcontext-chat": 1.4286,
|
||||
"qwen2-vl-7b-instruct": 1.4286,
|
||||
"qwen2-vl-2b-instruct": 1.4286,
|
||||
"qwen-vl-v1": 1.4286,
|
||||
"qwen-vl-chat-v1": 1.4286,
|
||||
"qwen2-audio-instruct": 1.4286,
|
||||
"qwen-audio-chat": 1.4286,
|
||||
"qwen2.5-math-72b-instruct": 1.4286,
|
||||
"qwen2.5-math-7b-instruct": 1.4286,
|
||||
"qwen2.5-math-1.5b-instruct": 1.4286,
|
||||
"qwen2-math-72b-instruct": 1.4286,
|
||||
"qwen2-math-7b-instruct": 1.4286,
|
||||
"qwen2-math-1.5b-instruct": 1.4286,
|
||||
"qwen2.5-coder-32b-instruct": 1.4286,
|
||||
"qwen2.5-coder-14b-instruct": 1.4286,
|
||||
"qwen2.5-coder-7b-instruct": 1.4286,
|
||||
"qwen2.5-coder-3b-instruct": 1.4286,
|
||||
"qwen2.5-coder-1.5b-instruct": 1.4286,
|
||||
"qwen2.5-coder-0.5b-instruct": 1.4286,
|
||||
"text-embedding-v1": 0.05, // ¥0.0007 / 1k tokens
|
||||
"text-embedding-v3": 0.05,
|
||||
"text-embedding-v2": 0.05,
|
||||
"text-embedding-async-v2": 0.05,
|
||||
"text-embedding-async-v1": 0.05,
|
||||
"ali-stable-diffusion-xl": 8.00,
|
||||
"ali-stable-diffusion-v1.5": 8.00,
|
||||
"wanx-v1": 8.00,
|
||||
"SparkDesk": 1.2858, // ¥0.018 / 1k tokens
|
||||
"SparkDesk-v1.1": 1.2858, // ¥0.018 / 1k tokens
|
||||
"SparkDesk-v2.1": 1.2858, // ¥0.018 / 1k tokens
|
||||
"SparkDesk-v3.1": 1.2858, // ¥0.018 / 1k tokens
|
||||
"SparkDesk-v3.1-128K": 1.2858, // ¥0.018 / 1k tokens
|
||||
"SparkDesk-v3.5": 1.2858, // ¥0.018 / 1k tokens
|
||||
"SparkDesk-v3.5-32K": 1.2858, // ¥0.018 / 1k tokens
|
||||
"SparkDesk-v4.0": 1.2858, // ¥0.018 / 1k tokens
|
||||
"360GPT_S2_V9": 0.8572, // ¥0.012 / 1k tokens
|
||||
"embedding-bert-512-v1": 0.0715, // ¥0.001 / 1k tokens
|
||||
"embedding_s1_v1": 0.0715, // ¥0.001 / 1k tokens
|
||||
"semantic_similarity_s1_v1": 0.0715, // ¥0.001 / 1k tokens
|
||||
"qwen-turbo": 0.0003 * RMB,
|
||||
"qwen-turbo-latest": 0.0003 * RMB,
|
||||
"qwen-plus": 0.0008 * RMB,
|
||||
"qwen-plus-latest": 0.0008 * RMB,
|
||||
"qwen-max": 0.0024 * RMB,
|
||||
"qwen-max-latest": 0.0024 * RMB,
|
||||
"qwen-max-longcontext": 0.0005 * RMB,
|
||||
"qwen-vl-max": 0.003 * RMB,
|
||||
"qwen-vl-max-latest": 0.003 * RMB,
|
||||
"qwen-vl-plus": 0.0015 * RMB,
|
||||
"qwen-vl-plus-latest": 0.0015 * RMB,
|
||||
"qwen-vl-ocr": 0.005 * RMB,
|
||||
"qwen-vl-ocr-latest": 0.005 * RMB,
|
||||
"qwen-audio-turbo": 1.4286,
|
||||
"qwen-math-plus": 0.004 * RMB,
|
||||
"qwen-math-plus-latest": 0.004 * RMB,
|
||||
"qwen-math-turbo": 0.002 * RMB,
|
||||
"qwen-math-turbo-latest": 0.002 * RMB,
|
||||
"qwen-coder-plus": 0.0035 * RMB,
|
||||
"qwen-coder-plus-latest": 0.0035 * RMB,
|
||||
"qwen-coder-turbo": 0.002 * RMB,
|
||||
"qwen-coder-turbo-latest": 0.002 * RMB,
|
||||
"qwen-mt-plus": 0.015 * RMB,
|
||||
"qwen-mt-turbo": 0.001 * RMB,
|
||||
"qwq-32b-preview": 0.002 * RMB,
|
||||
"qwen2.5-72b-instruct": 0.004 * RMB,
|
||||
"qwen2.5-32b-instruct": 0.03 * RMB,
|
||||
"qwen2.5-14b-instruct": 0.001 * RMB,
|
||||
"qwen2.5-7b-instruct": 0.0005 * RMB,
|
||||
"qwen2.5-3b-instruct": 0.006 * RMB,
|
||||
"qwen2.5-1.5b-instruct": 0.0003 * RMB,
|
||||
"qwen2.5-0.5b-instruct": 0.0003 * RMB,
|
||||
"qwen2-72b-instruct": 0.004 * RMB,
|
||||
"qwen2-57b-a14b-instruct": 0.0035 * RMB,
|
||||
"qwen2-7b-instruct": 0.001 * RMB,
|
||||
"qwen2-1.5b-instruct": 0.001 * RMB,
|
||||
"qwen2-0.5b-instruct": 0.001 * RMB,
|
||||
"qwen1.5-110b-chat": 0.007 * RMB,
|
||||
"qwen1.5-72b-chat": 0.005 * RMB,
|
||||
"qwen1.5-32b-chat": 0.0035 * RMB,
|
||||
"qwen1.5-14b-chat": 0.002 * RMB,
|
||||
"qwen1.5-7b-chat": 0.001 * RMB,
|
||||
"qwen1.5-1.8b-chat": 0.001 * RMB,
|
||||
"qwen1.5-0.5b-chat": 0.001 * RMB,
|
||||
"qwen-72b-chat": 0.02 * RMB,
|
||||
"qwen-14b-chat": 0.008 * RMB,
|
||||
"qwen-7b-chat": 0.006 * RMB,
|
||||
"qwen-1.8b-chat": 0.006 * RMB,
|
||||
"qwen-1.8b-longcontext-chat": 0.006 * RMB,
|
||||
"qvq-72b-preview": 0.012 * RMB,
|
||||
"qwen2.5-vl-72b-instruct": 0.016 * RMB,
|
||||
"qwen2.5-vl-7b-instruct": 0.002 * RMB,
|
||||
"qwen2.5-vl-3b-instruct": 0.0012 * RMB,
|
||||
"qwen2-vl-7b-instruct": 0.016 * RMB,
|
||||
"qwen2-vl-2b-instruct": 0.002 * RMB,
|
||||
"qwen-vl-v1": 0.002 * RMB,
|
||||
"qwen-vl-chat-v1": 0.002 * RMB,
|
||||
"qwen2-audio-instruct": 0.002 * RMB,
|
||||
"qwen-audio-chat": 0.002 * RMB,
|
||||
"qwen2.5-math-72b-instruct": 0.004 * RMB,
|
||||
"qwen2.5-math-7b-instruct": 0.001 * RMB,
|
||||
"qwen2.5-math-1.5b-instruct": 0.001 * RMB,
|
||||
"qwen2-math-72b-instruct": 0.004 * RMB,
|
||||
"qwen2-math-7b-instruct": 0.001 * RMB,
|
||||
"qwen2-math-1.5b-instruct": 0.001 * RMB,
|
||||
"qwen2.5-coder-32b-instruct": 0.002 * RMB,
|
||||
"qwen2.5-coder-14b-instruct": 0.002 * RMB,
|
||||
"qwen2.5-coder-7b-instruct": 0.001 * RMB,
|
||||
"qwen2.5-coder-3b-instruct": 0.001 * RMB,
|
||||
"qwen2.5-coder-1.5b-instruct": 0.001 * RMB,
|
||||
"qwen2.5-coder-0.5b-instruct": 0.001 * RMB,
|
||||
"text-embedding-v1": 0.0007 * RMB, // ¥0.0007 / 1k tokens
|
||||
"text-embedding-v3": 0.0007 * RMB,
|
||||
"text-embedding-v2": 0.0007 * RMB,
|
||||
"text-embedding-async-v2": 0.0007 * RMB,
|
||||
"text-embedding-async-v1": 0.0007 * RMB,
|
||||
"ali-stable-diffusion-xl": 8.00,
|
||||
"ali-stable-diffusion-v1.5": 8.00,
|
||||
"wanx-v1": 8.00,
|
||||
"deepseek-r1": 0.002 * RMB,
|
||||
"deepseek-v3": 0.001 * RMB,
|
||||
"deepseek-r1-distill-qwen-1.5b": 0.001 * RMB,
|
||||
"deepseek-r1-distill-qwen-7b": 0.0005 * RMB,
|
||||
"deepseek-r1-distill-qwen-14b": 0.001 * RMB,
|
||||
"deepseek-r1-distill-qwen-32b": 0.002 * RMB,
|
||||
"deepseek-r1-distill-llama-8b": 0.0005 * RMB,
|
||||
"deepseek-r1-distill-llama-70b": 0.004 * RMB,
|
||||
"SparkDesk": 1.2858, // ¥0.018 / 1k tokens
|
||||
"SparkDesk-v1.1": 1.2858, // ¥0.018 / 1k tokens
|
||||
"SparkDesk-v2.1": 1.2858, // ¥0.018 / 1k tokens
|
||||
"SparkDesk-v3.1": 1.2858, // ¥0.018 / 1k tokens
|
||||
"SparkDesk-v3.1-128K": 1.2858, // ¥0.018 / 1k tokens
|
||||
"SparkDesk-v3.5": 1.2858, // ¥0.018 / 1k tokens
|
||||
"SparkDesk-v3.5-32K": 1.2858, // ¥0.018 / 1k tokens
|
||||
"SparkDesk-v4.0": 1.2858, // ¥0.018 / 1k tokens
|
||||
"360GPT_S2_V9": 0.8572, // ¥0.012 / 1k tokens
|
||||
"embedding-bert-512-v1": 0.0715, // ¥0.001 / 1k tokens
|
||||
"embedding_s1_v1": 0.0715, // ¥0.001 / 1k tokens
|
||||
"semantic_similarity_s1_v1": 0.0715, // ¥0.001 / 1k tokens
|
||||
// https://cloud.tencent.com/document/product/1729/97731#e0e6be58-60c8-469f-bdeb-6c264ce3b4d0
|
||||
"hunyuan-turbo": 0.015 * RMB,
|
||||
"hunyuan-large": 0.004 * RMB,
|
||||
@@ -371,6 +387,238 @@ var ModelRatio = map[string]float64{
|
||||
"mistralai/mistral-7b-instruct-v0.2": 0.050 * USD,
|
||||
"mistralai/mistral-7b-v0.1": 0.050 * USD,
|
||||
"mistralai/mixtral-8x7b-instruct-v0.1": 0.300 * USD,
|
||||
//https://openrouter.ai/models
|
||||
"01-ai/yi-large": 1.5,
|
||||
"aetherwiing/mn-starcannon-12b": 0.6,
|
||||
"ai21/jamba-1-5-large": 4.0,
|
||||
"ai21/jamba-1-5-mini": 0.2,
|
||||
"ai21/jamba-instruct": 0.35,
|
||||
"aion-labs/aion-1.0": 6.0,
|
||||
"aion-labs/aion-1.0-mini": 1.2,
|
||||
"aion-labs/aion-rp-llama-3.1-8b": 0.1,
|
||||
"allenai/llama-3.1-tulu-3-405b": 5.0,
|
||||
"alpindale/goliath-120b": 4.6875,
|
||||
"alpindale/magnum-72b": 1.125,
|
||||
"amazon/nova-lite-v1": 0.12,
|
||||
"amazon/nova-micro-v1": 0.07,
|
||||
"amazon/nova-pro-v1": 1.6,
|
||||
"anthracite-org/magnum-v2-72b": 1.5,
|
||||
"anthracite-org/magnum-v4-72b": 1.125,
|
||||
"anthropic/claude-2": 12.0,
|
||||
"anthropic/claude-2.0": 12.0,
|
||||
"anthropic/claude-2.0:beta": 12.0,
|
||||
"anthropic/claude-2.1": 12.0,
|
||||
"anthropic/claude-2.1:beta": 12.0,
|
||||
"anthropic/claude-2:beta": 12.0,
|
||||
"anthropic/claude-3-haiku": 0.625,
|
||||
"anthropic/claude-3-haiku:beta": 0.625,
|
||||
"anthropic/claude-3-opus": 37.5,
|
||||
"anthropic/claude-3-opus:beta": 37.5,
|
||||
"anthropic/claude-3-sonnet": 7.5,
|
||||
"anthropic/claude-3-sonnet:beta": 7.5,
|
||||
"anthropic/claude-3.5-haiku": 2.0,
|
||||
"anthropic/claude-3.5-haiku-20241022": 2.0,
|
||||
"anthropic/claude-3.5-haiku-20241022:beta": 2.0,
|
||||
"anthropic/claude-3.5-haiku:beta": 2.0,
|
||||
"anthropic/claude-3.5-sonnet": 7.5,
|
||||
"anthropic/claude-3.5-sonnet-20240620": 7.5,
|
||||
"anthropic/claude-3.5-sonnet-20240620:beta": 7.5,
|
||||
"anthropic/claude-3.5-sonnet:beta": 7.5,
|
||||
"cognitivecomputations/dolphin-mixtral-8x22b": 0.45,
|
||||
"cognitivecomputations/dolphin-mixtral-8x7b": 0.25,
|
||||
"cohere/command": 0.95,
|
||||
"cohere/command-r": 0.7125,
|
||||
"cohere/command-r-03-2024": 0.7125,
|
||||
"cohere/command-r-08-2024": 0.285,
|
||||
"cohere/command-r-plus": 7.125,
|
||||
"cohere/command-r-plus-04-2024": 7.125,
|
||||
"cohere/command-r-plus-08-2024": 4.75,
|
||||
"cohere/command-r7b-12-2024": 0.075,
|
||||
"databricks/dbrx-instruct": 0.6,
|
||||
"deepseek/deepseek-chat": 0.445,
|
||||
"deepseek/deepseek-chat-v2.5": 1.0,
|
||||
"deepseek/deepseek-chat:free": 0.0,
|
||||
"deepseek/deepseek-r1": 1.2,
|
||||
"deepseek/deepseek-r1-distill-llama-70b": 0.345,
|
||||
"deepseek/deepseek-r1-distill-llama-70b:free": 0.0,
|
||||
"deepseek/deepseek-r1-distill-llama-8b": 0.02,
|
||||
"deepseek/deepseek-r1-distill-qwen-1.5b": 0.09,
|
||||
"deepseek/deepseek-r1-distill-qwen-14b": 0.075,
|
||||
"deepseek/deepseek-r1-distill-qwen-32b": 0.09,
|
||||
"deepseek/deepseek-r1:free": 0.0,
|
||||
"eva-unit-01/eva-llama-3.33-70b": 3.0,
|
||||
"eva-unit-01/eva-qwen-2.5-32b": 1.7,
|
||||
"eva-unit-01/eva-qwen-2.5-72b": 3.0,
|
||||
"google/gemini-2.0-flash-001": 0.2,
|
||||
"google/gemini-2.0-flash-exp:free": 0.0,
|
||||
"google/gemini-2.0-flash-lite-preview-02-05:free": 0.0,
|
||||
"google/gemini-2.0-flash-thinking-exp-1219:free": 0.0,
|
||||
"google/gemini-2.0-flash-thinking-exp:free": 0.0,
|
||||
"google/gemini-2.0-pro-exp-02-05:free": 0.0,
|
||||
"google/gemini-exp-1206:free": 0.0,
|
||||
"google/gemini-flash-1.5": 0.15,
|
||||
"google/gemini-flash-1.5-8b": 0.075,
|
||||
"google/gemini-flash-1.5-8b-exp": 0.0,
|
||||
"google/gemini-pro": 0.75,
|
||||
"google/gemini-pro-1.5": 2.5,
|
||||
"google/gemini-pro-vision": 0.75,
|
||||
"google/gemma-2-27b-it": 0.135,
|
||||
"google/gemma-2-9b-it": 0.03,
|
||||
"google/gemma-2-9b-it:free": 0.0,
|
||||
"google/gemma-7b-it": 0.075,
|
||||
"google/learnlm-1.5-pro-experimental:free": 0.0,
|
||||
"google/palm-2-chat-bison": 1.0,
|
||||
"google/palm-2-chat-bison-32k": 1.0,
|
||||
"google/palm-2-codechat-bison": 1.0,
|
||||
"google/palm-2-codechat-bison-32k": 1.0,
|
||||
"gryphe/mythomax-l2-13b": 0.0325,
|
||||
"gryphe/mythomax-l2-13b:free": 0.0,
|
||||
"huggingfaceh4/zephyr-7b-beta:free": 0.0,
|
||||
"infermatic/mn-inferor-12b": 0.6,
|
||||
"inflection/inflection-3-pi": 5.0,
|
||||
"inflection/inflection-3-productivity": 5.0,
|
||||
"jondurbin/airoboros-l2-70b": 0.25,
|
||||
"liquid/lfm-3b": 0.01,
|
||||
"liquid/lfm-40b": 0.075,
|
||||
"liquid/lfm-7b": 0.005,
|
||||
"mancer/weaver": 1.125,
|
||||
"meta-llama/llama-2-13b-chat": 0.11,
|
||||
"meta-llama/llama-2-70b-chat": 0.45,
|
||||
"meta-llama/llama-3-70b-instruct": 0.2,
|
||||
"meta-llama/llama-3-8b-instruct": 0.03,
|
||||
"meta-llama/llama-3-8b-instruct:free": 0.0,
|
||||
"meta-llama/llama-3.1-405b": 1.0,
|
||||
"meta-llama/llama-3.1-405b-instruct": 0.4,
|
||||
"meta-llama/llama-3.1-70b-instruct": 0.15,
|
||||
"meta-llama/llama-3.1-8b-instruct": 0.025,
|
||||
"meta-llama/llama-3.2-11b-vision-instruct": 0.0275,
|
||||
"meta-llama/llama-3.2-11b-vision-instruct:free": 0.0,
|
||||
"meta-llama/llama-3.2-1b-instruct": 0.005,
|
||||
"meta-llama/llama-3.2-3b-instruct": 0.0125,
|
||||
"meta-llama/llama-3.2-90b-vision-instruct": 0.8,
|
||||
"meta-llama/llama-3.3-70b-instruct": 0.15,
|
||||
"meta-llama/llama-3.3-70b-instruct:free": 0.0,
|
||||
"meta-llama/llama-guard-2-8b": 0.1,
|
||||
"microsoft/phi-3-medium-128k-instruct": 0.5,
|
||||
"microsoft/phi-3-medium-128k-instruct:free": 0.0,
|
||||
"microsoft/phi-3-mini-128k-instruct": 0.05,
|
||||
"microsoft/phi-3-mini-128k-instruct:free": 0.0,
|
||||
"microsoft/phi-3.5-mini-128k-instruct": 0.05,
|
||||
"microsoft/phi-4": 0.07,
|
||||
"microsoft/wizardlm-2-7b": 0.035,
|
||||
"microsoft/wizardlm-2-8x22b": 0.25,
|
||||
"minimax/minimax-01": 0.55,
|
||||
"mistralai/codestral-2501": 0.45,
|
||||
"mistralai/codestral-mamba": 0.125,
|
||||
"mistralai/ministral-3b": 0.02,
|
||||
"mistralai/ministral-8b": 0.05,
|
||||
"mistralai/mistral-7b-instruct": 0.0275,
|
||||
"mistralai/mistral-7b-instruct-v0.1": 0.1,
|
||||
"mistralai/mistral-7b-instruct-v0.3": 0.0275,
|
||||
"mistralai/mistral-7b-instruct:free": 0.0,
|
||||
"mistralai/mistral-large": 3.0,
|
||||
"mistralai/mistral-large-2407": 3.0,
|
||||
"mistralai/mistral-large-2411": 3.0,
|
||||
"mistralai/mistral-medium": 4.05,
|
||||
"mistralai/mistral-nemo": 0.04,
|
||||
"mistralai/mistral-nemo:free": 0.0,
|
||||
"mistralai/mistral-small": 0.3,
|
||||
"mistralai/mistral-small-24b-instruct-2501": 0.07,
|
||||
"mistralai/mistral-small-24b-instruct-2501:free": 0.0,
|
||||
"mistralai/mistral-tiny": 0.125,
|
||||
"mistralai/mixtral-8x22b-instruct": 0.45,
|
||||
"mistralai/mixtral-8x7b": 0.3,
|
||||
"mistralai/mixtral-8x7b-instruct": 0.12,
|
||||
"mistralai/pixtral-12b": 0.05,
|
||||
"mistralai/pixtral-large-2411": 3.0,
|
||||
"neversleep/llama-3-lumimaid-70b": 2.25,
|
||||
"neversleep/llama-3-lumimaid-8b": 0.5625,
|
||||
"neversleep/llama-3-lumimaid-8b:extended": 0.5625,
|
||||
"neversleep/llama-3.1-lumimaid-70b": 2.25,
|
||||
"neversleep/llama-3.1-lumimaid-8b": 0.5625,
|
||||
"neversleep/noromaid-20b": 1.125,
|
||||
"nothingiisreal/mn-celeste-12b": 0.6,
|
||||
"nousresearch/hermes-2-pro-llama-3-8b": 0.02,
|
||||
"nousresearch/hermes-3-llama-3.1-405b": 0.4,
|
||||
"nousresearch/hermes-3-llama-3.1-70b": 0.15,
|
||||
"nousresearch/nous-hermes-2-mixtral-8x7b-dpo": 0.3,
|
||||
"nousresearch/nous-hermes-llama2-13b": 0.085,
|
||||
"nvidia/llama-3.1-nemotron-70b-instruct": 0.15,
|
||||
"nvidia/llama-3.1-nemotron-70b-instruct:free": 0.0,
|
||||
"openai/chatgpt-4o-latest": 7.5,
|
||||
"openai/gpt-3.5-turbo": 0.75,
|
||||
"openai/gpt-3.5-turbo-0125": 0.75,
|
||||
"openai/gpt-3.5-turbo-0613": 1.0,
|
||||
"openai/gpt-3.5-turbo-1106": 1.0,
|
||||
"openai/gpt-3.5-turbo-16k": 2.0,
|
||||
"openai/gpt-3.5-turbo-instruct": 1.0,
|
||||
"openai/gpt-4": 30.0,
|
||||
"openai/gpt-4-0314": 30.0,
|
||||
"openai/gpt-4-1106-preview": 15.0,
|
||||
"openai/gpt-4-32k": 60.0,
|
||||
"openai/gpt-4-32k-0314": 60.0,
|
||||
"openai/gpt-4-turbo": 15.0,
|
||||
"openai/gpt-4-turbo-preview": 15.0,
|
||||
"openai/gpt-4o": 5.0,
|
||||
"openai/gpt-4o-2024-05-13": 7.5,
|
||||
"openai/gpt-4o-2024-08-06": 5.0,
|
||||
"openai/gpt-4o-2024-11-20": 5.0,
|
||||
"openai/gpt-4o-mini": 0.3,
|
||||
"openai/gpt-4o-mini-2024-07-18": 0.3,
|
||||
"openai/gpt-4o:extended": 9.0,
|
||||
"openai/o1": 30.0,
|
||||
"openai/o1-mini": 2.2,
|
||||
"openai/o1-mini-2024-09-12": 2.2,
|
||||
"openai/o1-preview": 30.0,
|
||||
"openai/o1-preview-2024-09-12": 30.0,
|
||||
"openai/o3-mini": 2.2,
|
||||
"openai/o3-mini-high": 2.2,
|
||||
"openchat/openchat-7b": 0.0275,
|
||||
"openchat/openchat-7b:free": 0.0,
|
||||
"openrouter/auto": -500000.0,
|
||||
"perplexity/llama-3.1-sonar-huge-128k-online": 2.5,
|
||||
"perplexity/llama-3.1-sonar-large-128k-chat": 0.5,
|
||||
"perplexity/llama-3.1-sonar-large-128k-online": 0.5,
|
||||
"perplexity/llama-3.1-sonar-small-128k-chat": 0.1,
|
||||
"perplexity/llama-3.1-sonar-small-128k-online": 0.1,
|
||||
"perplexity/sonar": 0.5,
|
||||
"perplexity/sonar-reasoning": 2.5,
|
||||
"pygmalionai/mythalion-13b": 0.6,
|
||||
"qwen/qvq-72b-preview": 0.25,
|
||||
"qwen/qwen-2-72b-instruct": 0.45,
|
||||
"qwen/qwen-2-7b-instruct": 0.027,
|
||||
"qwen/qwen-2-7b-instruct:free": 0.0,
|
||||
"qwen/qwen-2-vl-72b-instruct": 0.2,
|
||||
"qwen/qwen-2-vl-7b-instruct": 0.05,
|
||||
"qwen/qwen-2.5-72b-instruct": 0.2,
|
||||
"qwen/qwen-2.5-7b-instruct": 0.025,
|
||||
"qwen/qwen-2.5-coder-32b-instruct": 0.08,
|
||||
"qwen/qwen-max": 3.2,
|
||||
"qwen/qwen-plus": 0.6,
|
||||
"qwen/qwen-turbo": 0.1,
|
||||
"qwen/qwen-vl-plus:free": 0.0,
|
||||
"qwen/qwen2.5-vl-72b-instruct:free": 0.0,
|
||||
"qwen/qwq-32b-preview": 0.09,
|
||||
"raifle/sorcererlm-8x22b": 2.25,
|
||||
"sao10k/fimbulvetr-11b-v2": 0.6,
|
||||
"sao10k/l3-euryale-70b": 0.4,
|
||||
"sao10k/l3-lunaris-8b": 0.03,
|
||||
"sao10k/l3.1-70b-hanami-x1": 1.5,
|
||||
"sao10k/l3.1-euryale-70b": 0.4,
|
||||
"sao10k/l3.3-euryale-70b": 0.4,
|
||||
"sophosympatheia/midnight-rose-70b": 0.4,
|
||||
"sophosympatheia/rogue-rose-103b-v0.2:free": 0.0,
|
||||
"teknium/openhermes-2.5-mistral-7b": 0.085,
|
||||
"thedrummer/rocinante-12b": 0.25,
|
||||
"thedrummer/unslopnemo-12b": 0.25,
|
||||
"undi95/remm-slerp-l2-13b": 0.6,
|
||||
"undi95/toppy-m-7b": 0.035,
|
||||
"undi95/toppy-m-7b:free": 0.0,
|
||||
"x-ai/grok-2-1212": 5.0,
|
||||
"x-ai/grok-2-vision-1212": 5.0,
|
||||
"x-ai/grok-beta": 7.5,
|
||||
"x-ai/grok-vision-beta": 7.5,
|
||||
"xwin-lm/xwin-lm-70b": 1.875,
|
||||
}
|
||||
|
||||
var CompletionRatio = map[string]float64{
|
||||
|
||||
@@ -51,5 +51,7 @@ const (
|
||||
BaiduV2
|
||||
XunfeiV2
|
||||
AliBailian
|
||||
OpenAICompatible
|
||||
GeminiOpenAICompatible
|
||||
Dummy
|
||||
)
|
||||
|
||||
@@ -51,6 +51,9 @@ var ChannelBaseURLs = []string{
|
||||
"https://qianfan.baidubce.com", // 47
|
||||
"https://spark-api-open.xf-yun.com", // 48
|
||||
"https://dashscope.aliyuncs.com", // 49
|
||||
"", // 50
|
||||
|
||||
"https://generativelanguage.googleapis.com/v1beta/openai/", // 51
|
||||
}
|
||||
|
||||
func init() {
|
||||
|
||||
224
relay/controller/anthropic.go
Normal file
224
relay/controller/anthropic.go
Normal file
@@ -0,0 +1,224 @@
|
||||
package controller
|
||||
|
||||
import (
|
||||
"bytes"
|
||||
"context"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"io"
|
||||
"net/http"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
|
||||
"github.com/songquanpeng/one-api/common"
|
||||
"github.com/songquanpeng/one-api/common/config"
|
||||
"github.com/songquanpeng/one-api/common/logger"
|
||||
dbmodel "github.com/songquanpeng/one-api/model"
|
||||
"github.com/songquanpeng/one-api/relay"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/anthropic"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/openai"
|
||||
"github.com/songquanpeng/one-api/relay/billing"
|
||||
billingratio "github.com/songquanpeng/one-api/relay/billing/ratio"
|
||||
"github.com/songquanpeng/one-api/relay/meta"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
)
|
||||
|
||||
// RelayAnthropicHelper handles native Anthropic API requests (anthropic -> anthropic passthrough)
|
||||
func RelayAnthropicHelper(c *gin.Context) *model.ErrorWithStatusCode {
|
||||
ctx := c.Request.Context()
|
||||
meta := meta.GetByContext(c)
|
||||
|
||||
logger.Infof(ctx, "=== Anthropic Request Start ===")
|
||||
logger.Infof(ctx, "Request URL: %s", c.Request.URL.String())
|
||||
logger.Infof(ctx, "Request Method: %s", c.Request.Method)
|
||||
logger.Infof(ctx, "Request Headers: %+v", c.Request.Header)
|
||||
|
||||
// get & validate anthropic request
|
||||
anthropicRequest, err := getAndValidateAnthropicRequest(c)
|
||||
if err != nil {
|
||||
logger.Errorf(ctx, "getAndValidateAnthropicRequest failed: %s", err.Error())
|
||||
return openai.ErrorWrapper(err, "invalid_anthropic_request", http.StatusBadRequest)
|
||||
}
|
||||
logger.Infof(ctx, "Parsed anthropic request - Model: %s, Stream: %v, Messages: %d",
|
||||
anthropicRequest.Model, anthropicRequest.Stream, len(anthropicRequest.Messages))
|
||||
meta.IsStream = anthropicRequest.Stream
|
||||
|
||||
// map model name
|
||||
meta.OriginModelName = anthropicRequest.Model
|
||||
mappedModel, _ := getMappedModelName(anthropicRequest.Model, meta.ModelMapping)
|
||||
anthropicRequest.Model = mappedModel
|
||||
meta.ActualModelName = anthropicRequest.Model
|
||||
|
||||
// estimate token usage for anthropic request
|
||||
promptTokens := estimateAnthropicTokens(anthropicRequest)
|
||||
meta.PromptTokens = promptTokens
|
||||
|
||||
// get model ratio & group ratio
|
||||
modelRatio := billingratio.GetModelRatio(anthropicRequest.Model, meta.ChannelType)
|
||||
groupRatio := billingratio.GetGroupRatio(meta.Group)
|
||||
ratio := modelRatio * groupRatio
|
||||
|
||||
// pre-consume quota
|
||||
preConsumedQuota, bizErr := preConsumeQuotaForAnthropic(ctx, anthropicRequest, promptTokens, ratio, meta)
|
||||
if bizErr != nil {
|
||||
logger.Warnf(ctx, "preConsumeQuota failed: %+v", *bizErr)
|
||||
return bizErr
|
||||
}
|
||||
|
||||
logger.Infof(ctx, "Meta info - APIType: %d, ChannelType: %d, BaseURL: %s", meta.APIType, meta.ChannelType, meta.BaseURL)
|
||||
|
||||
adaptor := relay.GetAdaptor(meta.APIType)
|
||||
if adaptor == nil {
|
||||
logger.Errorf(ctx, "Failed to get adaptor for API type: %d", meta.APIType)
|
||||
return openai.ErrorWrapper(fmt.Errorf("invalid api type: %d", meta.APIType), "invalid_api_type", http.StatusBadRequest)
|
||||
}
|
||||
logger.Infof(ctx, "Using adaptor: %s", adaptor.GetChannelName())
|
||||
adaptor.Init(meta)
|
||||
|
||||
// get request body - for anthropic passthrough, we directly use the request body
|
||||
requestBody, err := getAnthropicRequestBody(c, anthropicRequest)
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "convert_anthropic_request_failed", http.StatusInternalServerError)
|
||||
}
|
||||
|
||||
// do request
|
||||
logger.Infof(ctx, "Sending request to upstream...")
|
||||
resp, err := adaptor.DoRequest(c, meta, requestBody)
|
||||
if err != nil {
|
||||
logger.Errorf(ctx, "DoRequest failed: %s", err.Error())
|
||||
return openai.ErrorWrapper(err, "do_request_failed", http.StatusInternalServerError)
|
||||
}
|
||||
logger.Infof(ctx, "Received response - Status: %d, Headers: %+v", resp.StatusCode, resp.Header)
|
||||
|
||||
if isErrorHappened(meta, resp) {
|
||||
logger.Errorf(ctx, "Error detected in response")
|
||||
billing.ReturnPreConsumedQuota(ctx, preConsumedQuota, meta.TokenId)
|
||||
return RelayErrorHandler(resp)
|
||||
}
|
||||
|
||||
// do response - for anthropic native requests, we need to handle the response directly
|
||||
logger.Infof(ctx, "Processing anthropic response...")
|
||||
usage, respErr := handleAnthropicResponse(c, resp, meta)
|
||||
if respErr != nil {
|
||||
logger.Errorf(ctx, "respErr is not nil: %+v", respErr)
|
||||
billing.ReturnPreConsumedQuota(ctx, preConsumedQuota, meta.TokenId)
|
||||
return respErr
|
||||
}
|
||||
|
||||
logger.Infof(ctx, "Response processed successfully - Usage: %+v", usage)
|
||||
logger.Infof(ctx, "=== Anthropic Request End ===")
|
||||
|
||||
// post-consume quota - for anthropic, we create a placeholder GeneralOpenAIRequest
|
||||
placeholderRequest := &model.GeneralOpenAIRequest{
|
||||
Model: anthropicRequest.Model,
|
||||
}
|
||||
go postConsumeQuota(ctx, usage, meta, placeholderRequest, ratio, preConsumedQuota, modelRatio, groupRatio, false)
|
||||
return nil
|
||||
}
|
||||
|
||||
func getAndValidateAnthropicRequest(c *gin.Context) (*anthropic.Request, error) {
|
||||
anthropicRequest := &anthropic.Request{}
|
||||
err := common.UnmarshalBodyReusable(c, anthropicRequest)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
// Basic validation
|
||||
if anthropicRequest.Model == "" {
|
||||
return nil, fmt.Errorf("model is required")
|
||||
}
|
||||
if len(anthropicRequest.Messages) == 0 {
|
||||
return nil, fmt.Errorf("messages are required")
|
||||
}
|
||||
if anthropicRequest.MaxTokens == 0 {
|
||||
anthropicRequest.MaxTokens = 4096 // default max tokens
|
||||
}
|
||||
|
||||
return anthropicRequest, nil
|
||||
}
|
||||
|
||||
func getAnthropicRequestBody(c *gin.Context, anthropicRequest *anthropic.Request) (io.Reader, error) {
|
||||
// For anthropic native requests, we marshal the request back to JSON
|
||||
jsonData, err := json.Marshal(anthropicRequest)
|
||||
if err != nil {
|
||||
logger.Debugf(c.Request.Context(), "anthropic request json_marshal_failed: %s\n", err.Error())
|
||||
return nil, err
|
||||
}
|
||||
logger.Debugf(c.Request.Context(), "anthropic request: \n%s", string(jsonData))
|
||||
return bytes.NewBuffer(jsonData), nil
|
||||
}
|
||||
|
||||
func estimateAnthropicTokens(request *anthropic.Request) int {
|
||||
// Simple token estimation for Anthropic requests
|
||||
// This is a rough estimation, actual implementation might need more sophisticated logic
|
||||
totalTokens := 0
|
||||
|
||||
// Count tokens in system prompt
|
||||
if !request.System.IsEmpty() {
|
||||
systemText := request.System.String()
|
||||
totalTokens += len(systemText) / 4 // rough estimate: 1 token per 4 characters
|
||||
}
|
||||
|
||||
// Count tokens in messages
|
||||
for _, message := range request.Messages {
|
||||
for _, content := range message.Content {
|
||||
if content.Type == "text" {
|
||||
totalTokens += len(content.Text) / 4
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return totalTokens
|
||||
}
|
||||
|
||||
func handleAnthropicResponse(c *gin.Context, resp *http.Response, meta *meta.Meta) (*model.Usage, *model.ErrorWithStatusCode) {
|
||||
// For anthropic native requests, use direct handlers to maintain Anthropic format
|
||||
if meta.IsStream {
|
||||
// Handle streaming response - note: DirectStreamHandler returns (error, usage)
|
||||
err, usage := anthropic.DirectStreamHandler(c, resp)
|
||||
return usage, err
|
||||
} else {
|
||||
// Handle non-streaming response - note: DirectHandler returns (error, usage)
|
||||
err, usage := anthropic.DirectHandler(c, resp, meta.PromptTokens, meta.ActualModelName)
|
||||
return usage, err
|
||||
}
|
||||
}
|
||||
|
||||
func preConsumeQuotaForAnthropic(ctx context.Context, request *anthropic.Request, promptTokens int, ratio float64, meta *meta.Meta) (int64, *model.ErrorWithStatusCode) {
|
||||
// Use the same quota logic as text requests but adapted for Anthropic
|
||||
preConsumedTokens := config.PreConsumedQuota + int64(promptTokens)
|
||||
if request.MaxTokens != 0 {
|
||||
preConsumedTokens += int64(request.MaxTokens)
|
||||
}
|
||||
preConsumedQuota := int64(float64(preConsumedTokens) * ratio)
|
||||
|
||||
userQuota, err := dbmodel.CacheGetUserQuota(ctx, meta.UserId)
|
||||
if err != nil {
|
||||
return preConsumedQuota, openai.ErrorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
|
||||
}
|
||||
|
||||
if userQuota-preConsumedQuota < 0 {
|
||||
return preConsumedQuota, openai.ErrorWrapper(fmt.Errorf("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
|
||||
}
|
||||
|
||||
err = dbmodel.CacheDecreaseUserQuota(meta.UserId, preConsumedQuota)
|
||||
if err != nil {
|
||||
return preConsumedQuota, openai.ErrorWrapper(err, "decrease_user_quota_failed", http.StatusInternalServerError)
|
||||
}
|
||||
|
||||
if userQuota > 100*preConsumedQuota {
|
||||
// in this case, we do not pre-consume quota
|
||||
// because the user has enough quota
|
||||
preConsumedQuota = 0
|
||||
logger.Info(ctx, fmt.Sprintf("user %d has enough quota %d, trusted and no need to pre-consume", meta.UserId, userQuota))
|
||||
}
|
||||
|
||||
if preConsumedQuota > 0 {
|
||||
err := dbmodel.PreConsumeTokenQuota(meta.TokenId, preConsumedQuota)
|
||||
if err != nil {
|
||||
return preConsumedQuota, openai.ErrorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
|
||||
}
|
||||
}
|
||||
|
||||
return preConsumedQuota, nil
|
||||
}
|
||||
@@ -8,6 +8,7 @@ import (
|
||||
|
||||
"github.com/songquanpeng/one-api/common/ctxkey"
|
||||
"github.com/songquanpeng/one-api/model"
|
||||
"github.com/songquanpeng/one-api/relay/apitype"
|
||||
"github.com/songquanpeng/one-api/relay/channeltype"
|
||||
"github.com/songquanpeng/one-api/relay/relaymode"
|
||||
)
|
||||
@@ -62,5 +63,11 @@ func GetByContext(c *gin.Context) *Meta {
|
||||
meta.BaseURL = channeltype.ChannelBaseURLs[meta.ChannelType]
|
||||
}
|
||||
meta.APIType = channeltype.ToAPIType(meta.ChannelType)
|
||||
|
||||
// Force Anthropic API type for native Anthropic protocol requests
|
||||
if meta.Mode == relaymode.AnthropicMessages {
|
||||
meta.APIType = apitype.Anthropic
|
||||
}
|
||||
|
||||
return &meta
|
||||
}
|
||||
|
||||
@@ -13,4 +13,6 @@ const (
|
||||
AudioTranslation
|
||||
// Proxy is a special relay mode for proxying requests to custom upstream
|
||||
Proxy
|
||||
// AnthropicMessages is for native Anthropic API messages endpoint
|
||||
AnthropicMessages
|
||||
)
|
||||
|
||||
@@ -26,6 +26,8 @@ func GetByPath(path string) int {
|
||||
relayMode = AudioTranslation
|
||||
} else if strings.HasPrefix(path, "/v1/oneapi/proxy") {
|
||||
relayMode = Proxy
|
||||
} else if strings.HasPrefix(path, "/anthropic/v1/messages") {
|
||||
relayMode = AnthropicMessages
|
||||
}
|
||||
return relayMode
|
||||
}
|
||||
|
||||
@@ -71,4 +71,16 @@ func SetRelayRouter(router *gin.Engine) {
|
||||
relayV1Router.GET("/threads/:id/runs/:runsId/steps/:stepId", controller.RelayNotImplemented)
|
||||
relayV1Router.GET("/threads/:id/runs/:runsId/steps", controller.RelayNotImplemented)
|
||||
}
|
||||
|
||||
// Anthropic API compatibility - https://docs.anthropic.com/claude/reference/
|
||||
anthropicRouter := router.Group("/anthropic")
|
||||
anthropicRouter.Use(middleware.RelayPanicRecover(), middleware.TokenAuth(), middleware.Distribute())
|
||||
{
|
||||
// Models API
|
||||
anthropicRouter.GET("/v1/models", controller.ListModels)
|
||||
anthropicRouter.GET("/v1/models/:model", controller.RetrieveModel)
|
||||
|
||||
// Messages API - main endpoint for chat completions
|
||||
anthropicRouter.POST("/v1/messages", controller.Relay)
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,17 +1,7 @@
|
||||
import React, { useEffect, useState } from 'react';
|
||||
import { useTranslation } from 'react-i18next';
|
||||
import {
|
||||
Button,
|
||||
Dropdown,
|
||||
Form,
|
||||
Input,
|
||||
Label,
|
||||
Message,
|
||||
Pagination,
|
||||
Popup,
|
||||
Table,
|
||||
} from 'semantic-ui-react';
|
||||
import { Link } from 'react-router-dom';
|
||||
import React, {useEffect, useState} from 'react';
|
||||
import {useTranslation} from 'react-i18next';
|
||||
import {Button, Dropdown, Form, Input, Label, Message, Pagination, Popup, Table,} from 'semantic-ui-react';
|
||||
import {Link} from 'react-router-dom';
|
||||
import {
|
||||
API,
|
||||
loadChannelModels,
|
||||
@@ -23,8 +13,8 @@ import {
|
||||
timestamp2string,
|
||||
} from '../helpers';
|
||||
|
||||
import { CHANNEL_OPTIONS, ITEMS_PER_PAGE } from '../constants';
|
||||
import { renderGroup, renderNumber } from '../helpers/render';
|
||||
import {CHANNEL_OPTIONS, ITEMS_PER_PAGE} from '../constants';
|
||||
import {renderGroup, renderNumber} from '../helpers/render';
|
||||
|
||||
function renderTimestamp(timestamp) {
|
||||
return <>{timestamp2string(timestamp)}</>;
|
||||
@@ -54,6 +44,9 @@ function renderType(type, t) {
|
||||
function renderBalance(type, balance, t) {
|
||||
switch (type) {
|
||||
case 1: // OpenAI
|
||||
if (balance === 0) {
|
||||
return <span>{t('channel.table.balance_not_supported')}</span>;
|
||||
}
|
||||
return <span>${balance.toFixed(2)}</span>;
|
||||
case 4: // CloseAI
|
||||
return <span>¥{balance.toFixed(2)}</span>;
|
||||
|
||||
@@ -1,12 +1,26 @@
|
||||
export const CHANNEL_OPTIONS = [
|
||||
{key: 1, text: 'OpenAI', value: 1, color: 'green'},
|
||||
{key: 14, text: 'Anthropic Claude', value: 14, color: 'black'},
|
||||
{key: 33, text: 'AWS', value: 33, color: 'black'},
|
||||
{key: 3, text: 'Azure OpenAI', value: 3, color: 'olive'},
|
||||
{key: 11, text: 'Google PaLM2', value: 11, color: 'orange'},
|
||||
{key: 24, text: 'Google Gemini', value: 24, color: 'orange'},
|
||||
{key: 28, text: 'Mistral AI', value: 28, color: 'orange'},
|
||||
{key: 41, text: 'Novita', value: 41, color: 'purple'},
|
||||
{ key: 1, text: 'OpenAI', value: 1, color: 'green' },
|
||||
{
|
||||
key: 50,
|
||||
text: 'OpenAI 兼容',
|
||||
value: 50,
|
||||
color: 'olive',
|
||||
description: 'OpenAI 兼容渠道,支持设置 Base URL',
|
||||
},
|
||||
{key: 14, text: 'Anthropic', value: 14, color: 'black'},
|
||||
{ key: 33, text: 'AWS', value: 33, color: 'black' },
|
||||
{key: 3, text: 'Azure', value: 3, color: 'olive'},
|
||||
{key: 11, text: 'PaLM2', value: 11, color: 'orange'},
|
||||
{key: 24, text: 'Gemini', value: 24, color: 'orange'},
|
||||
{
|
||||
key: 51,
|
||||
text: 'Gemini (OpenAI)',
|
||||
value: 51,
|
||||
color: 'orange',
|
||||
description: 'Gemini OpenAI 兼容格式',
|
||||
},
|
||||
{ key: 28, text: 'Mistral AI', value: 28, color: 'orange' },
|
||||
{ key: 41, text: 'Novita', value: 41, color: 'purple' },
|
||||
{
|
||||
key: 40,
|
||||
text: '字节火山引擎',
|
||||
@@ -28,14 +42,14 @@ export const CHANNEL_OPTIONS = [
|
||||
color: 'blue',
|
||||
tip: '请前往<a href="https://console.bce.baidu.com/iam/#/iam/apikey/list" target="_blank">此处</a>获取 API Key,注意本渠道仅支持<a target="_blank" href="https://cloud.baidu.com/doc/WENXINWORKSHOP/s/em4tsqo3v">推理服务 V2</a>相关模型',
|
||||
},
|
||||
{
|
||||
key: 17,
|
||||
text: '阿里通义千问',
|
||||
value: 17,
|
||||
color: 'orange',
|
||||
tip: '如需使用阿里云百炼,请使用<strong>阿里云百炼</strong>渠道',
|
||||
},
|
||||
{key: 49, text: '阿里云百炼', value: 49, color: 'orange'},
|
||||
{
|
||||
key: 17,
|
||||
text: '阿里通义千问',
|
||||
value: 17,
|
||||
color: 'orange',
|
||||
tip: '如需使用阿里云百炼,请使用<strong>阿里云百炼</strong>渠道',
|
||||
},
|
||||
{ key: 49, text: '阿里云百炼', value: 49, color: 'orange' },
|
||||
{
|
||||
key: 18,
|
||||
text: '讯飞星火认知',
|
||||
@@ -50,38 +64,45 @@ export const CHANNEL_OPTIONS = [
|
||||
color: 'blue',
|
||||
tip: 'HTTP 版本的讯飞接口,前往<a href="https://console.xfyun.cn/services/cbm" target="_blank">此处</a>获取 HTTP 服务接口认证密钥',
|
||||
},
|
||||
{key: 16, text: '智谱 ChatGLM', value: 16, color: 'violet'},
|
||||
{key: 19, text: '360 智脑', value: 19, color: 'blue'},
|
||||
{key: 25, text: 'Moonshot AI', value: 25, color: 'black'},
|
||||
{key: 23, text: '腾讯混元', value: 23, color: 'teal'},
|
||||
{key: 26, text: '百川大模型', value: 26, color: 'orange'},
|
||||
{key: 27, text: 'MiniMax', value: 27, color: 'red'},
|
||||
{key: 29, text: 'Groq', value: 29, color: 'orange'},
|
||||
{key: 30, text: 'Ollama', value: 30, color: 'black'},
|
||||
{key: 31, text: '零一万物', value: 31, color: 'green'},
|
||||
{key: 32, text: '阶跃星辰', value: 32, color: 'blue'},
|
||||
{key: 34, text: 'Coze', value: 34, color: 'blue'},
|
||||
{key: 35, text: 'Cohere', value: 35, color: 'blue'},
|
||||
{key: 36, text: 'DeepSeek', value: 36, color: 'black'},
|
||||
{key: 37, text: 'Cloudflare', value: 37, color: 'orange'},
|
||||
{key: 38, text: 'DeepL', value: 38, color: 'black'},
|
||||
{key: 39, text: 'together.ai', value: 39, color: 'blue'},
|
||||
{key: 42, text: 'VertexAI', value: 42, color: 'blue'},
|
||||
{key: 43, text: 'Proxy', value: 43, color: 'blue'},
|
||||
{key: 44, text: 'SiliconFlow', value: 44, color: 'blue'},
|
||||
{key: 45, text: 'xAI', value: 45, color: 'blue'},
|
||||
{key: 46, text: 'Replicate', value: 46, color: 'blue'},
|
||||
{key: 8, text: '自定义渠道', value: 8, color: 'pink'},
|
||||
{key: 22, text: '知识库:FastGPT', value: 22, color: 'blue'},
|
||||
{key: 21, text: '知识库:AI Proxy', value: 21, color: 'purple'},
|
||||
{key: 20, text: 'OpenRouter', value: 20, color: 'black'},
|
||||
{key: 2, text: '代理:API2D', value: 2, color: 'blue'},
|
||||
{key: 5, text: '代理:OpenAI-SB', value: 5, color: 'brown'},
|
||||
{key: 7, text: '代理:OhMyGPT', value: 7, color: 'purple'},
|
||||
{key: 10, text: '代理:AI Proxy', value: 10, color: 'purple'},
|
||||
{key: 4, text: '代理:CloseAI', value: 4, color: 'teal'},
|
||||
{key: 6, text: '代理:OpenAI Max', value: 6, color: 'violet'},
|
||||
{key: 9, text: '代理:AI.LS', value: 9, color: 'yellow'},
|
||||
{key: 12, text: '代理:API2GPT', value: 12, color: 'blue'},
|
||||
{key: 13, text: '代理:AIGC2D', value: 13, color: 'purple'},
|
||||
{ key: 16, text: '智谱 ChatGLM', value: 16, color: 'violet' },
|
||||
{ key: 19, text: '360 智脑', value: 19, color: 'blue' },
|
||||
{ key: 25, text: 'Moonshot AI', value: 25, color: 'black' },
|
||||
{ key: 23, text: '腾讯混元', value: 23, color: 'teal' },
|
||||
{ key: 26, text: '百川大模型', value: 26, color: 'orange' },
|
||||
{ key: 27, text: 'MiniMax', value: 27, color: 'red' },
|
||||
{ key: 29, text: 'Groq', value: 29, color: 'orange' },
|
||||
{ key: 30, text: 'Ollama', value: 30, color: 'black' },
|
||||
{ key: 31, text: '零一万物', value: 31, color: 'green' },
|
||||
{ key: 32, text: '阶跃星辰', value: 32, color: 'blue' },
|
||||
{ key: 34, text: 'Coze', value: 34, color: 'blue' },
|
||||
{ key: 35, text: 'Cohere', value: 35, color: 'blue' },
|
||||
{ key: 36, text: 'DeepSeek', value: 36, color: 'black' },
|
||||
{ key: 37, text: 'Cloudflare', value: 37, color: 'orange' },
|
||||
{ key: 38, text: 'DeepL', value: 38, color: 'black' },
|
||||
{ key: 39, text: 'together.ai', value: 39, color: 'blue' },
|
||||
{ key: 42, text: 'VertexAI', value: 42, color: 'blue' },
|
||||
{ key: 43, text: 'Proxy', value: 43, color: 'blue' },
|
||||
{ key: 44, text: 'SiliconFlow', value: 44, color: 'blue' },
|
||||
{ key: 45, text: 'xAI', value: 45, color: 'blue' },
|
||||
{ key: 46, text: 'Replicate', value: 46, color: 'blue' },
|
||||
{
|
||||
key: 8,
|
||||
text: '自定义渠道',
|
||||
value: 8,
|
||||
color: 'pink',
|
||||
tip: '不推荐使用,请使用 <strong>OpenAI 兼容</strong>渠道类型。注意,这里所需要填入的代理地址仅会在实际请求时替换域名部分,如果你想填入 OpenAI SDK 中所要求的 Base URL,请使用 OpenAI 兼容渠道类型',
|
||||
description: '不推荐使用,请使用 OpenAI 兼容渠道类型',
|
||||
},
|
||||
{ key: 22, text: '知识库:FastGPT', value: 22, color: 'blue' },
|
||||
{ key: 21, text: '知识库:AI Proxy', value: 21, color: 'purple' },
|
||||
{ key: 20, text: 'OpenRouter', value: 20, color: 'black' },
|
||||
{ key: 2, text: '代理:API2D', value: 2, color: 'blue' },
|
||||
{ key: 5, text: '代理:OpenAI-SB', value: 5, color: 'brown' },
|
||||
{ key: 7, text: '代理:OhMyGPT', value: 7, color: 'purple' },
|
||||
{ key: 10, text: '代理:AI Proxy', value: 10, color: 'purple' },
|
||||
{ key: 4, text: '代理:CloseAI', value: 4, color: 'teal' },
|
||||
{ key: 6, text: '代理:OpenAI Max', value: 6, color: 'violet' },
|
||||
{ key: 9, text: '代理:AI.LS', value: 9, color: 'yellow' },
|
||||
{ key: 12, text: '代理:API2GPT', value: 12, color: 'blue' },
|
||||
{ key: 13, text: '代理:AIGC2D', value: 13, color: 'purple' },
|
||||
];
|
||||
|
||||
@@ -104,8 +104,10 @@
|
||||
"model_mapping_placeholder": "Optional, used to modify model names in request body. A JSON string where keys are request model names and values are target model names",
|
||||
"system_prompt": "System Prompt",
|
||||
"system_prompt_placeholder": "Optional, used to force set system prompt. Use with custom model & model mapping. First create a unique custom model name above, then map it to a natively supported model",
|
||||
"base_url": "Proxy",
|
||||
"base_url_placeholder": "Optional, used for API calls through proxy. Enter proxy address in format: https://domain.com",
|
||||
"proxy_url": "Proxy",
|
||||
"proxy_url_placeholder": "This is optional and used for API calls via a proxy. Please enter the proxy URL, formatted as: https://domain.com",
|
||||
"base_url": "Base URL",
|
||||
"base_url_placeholder": "The Base URL required by the OpenAPI SDK",
|
||||
"key": "Key",
|
||||
"key_placeholder": "Please enter key",
|
||||
"batch": "Batch Create",
|
||||
|
||||
@@ -104,8 +104,10 @@
|
||||
"model_mapping_placeholder": "此项可选,用于修改请求体中的模型名称,为一个 JSON 字符串,键为请求中模型名称,值为要替换的模型名称",
|
||||
"system_prompt": "系统提示词",
|
||||
"system_prompt_placeholder": "此项可选,用于强制设置给定的系统提示词,请配合自定义模型 & 模型重定向使用,首先创建一个唯一的自定义模型名称并在上面填入,之后将该自定义模型重定向映射到该渠道一个原生支持的模型",
|
||||
"base_url": "代理",
|
||||
"base_url_placeholder": "此项可选,用于通过代理站来进行 API 调用,请输入代理站地址,格式为:https://domain.com",
|
||||
"proxy_url": "代理",
|
||||
"proxy_url_placeholder": "此项可选,用于通过代理站来进行 API 调用,请输入代理站地址,格式为:https://domain.com。注意,这里所需要填入的代理地址仅会在实际请求时替换域名部分,如果你想填入 OpenAI SDK 中所要求的 Base URL,请使用 OpenAI 兼容渠道类型",
|
||||
"base_url": "Base URL",
|
||||
"base_url_placeholder": "OpenAPI SDK 中所要求的 Base URL",
|
||||
"key": "密钥",
|
||||
"key_placeholder": "请输入密钥",
|
||||
"batch": "批量创建",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import React, {useEffect, useState} from 'react';
|
||||
import {useTranslation} from 'react-i18next';
|
||||
import {Button, Card, Form, Input, Message,} from 'semantic-ui-react';
|
||||
import {Button, Card, Form, Input, Message} from 'semantic-ui-react';
|
||||
import {useNavigate, useParams} from 'react-router-dom';
|
||||
import {API, copy, getChannelModels, showError, showInfo, showSuccess, verifyJSON,} from '../../helpers';
|
||||
import {CHANNEL_OPTIONS} from '../../constants';
|
||||
@@ -339,6 +339,20 @@ const EditChannel = () => {
|
||||
{inputs.type === 8 && (
|
||||
<Form.Field>
|
||||
<Form.Input
|
||||
required
|
||||
label={t('channel.edit.proxy_url')}
|
||||
name='base_url'
|
||||
placeholder={t('channel.edit.proxy_url_placeholder')}
|
||||
onChange={handleInputChange}
|
||||
value={inputs.base_url}
|
||||
autoComplete='new-password'
|
||||
/>
|
||||
</Form.Field>
|
||||
)}
|
||||
{inputs.type === 50 && (
|
||||
<Form.Field>
|
||||
<Form.Input
|
||||
required
|
||||
label={t('channel.edit.base_url')}
|
||||
name='base_url'
|
||||
placeholder={t('channel.edit.base_url_placeholder')}
|
||||
@@ -637,12 +651,13 @@ const EditChannel = () => {
|
||||
{inputs.type !== 3 &&
|
||||
inputs.type !== 33 &&
|
||||
inputs.type !== 8 &&
|
||||
inputs.type !== 50 &&
|
||||
inputs.type !== 22 && (
|
||||
<Form.Field>
|
||||
<Form.Input
|
||||
label={t('channel.edit.base_url')}
|
||||
label={t('channel.edit.proxy_url')}
|
||||
name='base_url'
|
||||
placeholder={t('channel.edit.base_url_placeholder')}
|
||||
placeholder={t('channel.edit.proxy_url_placeholder')}
|
||||
onChange={handleInputChange}
|
||||
value={inputs.base_url}
|
||||
autoComplete='new-password'
|
||||
|
||||
Reference in New Issue
Block a user