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16 Commits
v0.6.9-alp
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v0.6.10-al
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a4d6e7a886 | ||
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cb772e5d06 | ||
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e32cb0b844 |
@@ -90,6 +90,7 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型,开箱即用
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+ [x] [together.ai](https://www.together.ai/)
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+ [x] [novita.ai](https://www.novita.ai/)
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+ [x] [硅基流动 SiliconCloud](https://siliconflow.cn/siliconcloud)
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+ [x] [xAI](https://x.ai/)
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2. 支持配置镜像以及众多[第三方代理服务](https://iamazing.cn/page/openai-api-third-party-services)。
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3. 支持通过**负载均衡**的方式访问多个渠道。
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4. 支持 **stream 模式**,可以通过流式传输实现打字机效果。
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@@ -399,6 +400,7 @@ graph LR
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26. `METRIC_SUCCESS_RATE_THRESHOLD`:请求成功率阈值,默认为 `0.8`。
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27. `INITIAL_ROOT_TOKEN`:如果设置了该值,则在系统首次启动时会自动创建一个值为该环境变量值的 root 用户令牌。
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28. `INITIAL_ROOT_ACCESS_TOKEN`:如果设置了该值,则在系统首次启动时会自动创建一个值为该环境变量的 root 用户创建系统管理令牌。
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29. `ENFORCE_INCLUDE_USAGE`:是否强制在 stream 模型下返回 usage,默认不开启,可选值为 `true` 和 `false`。
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### 命令行参数
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1. `--port <port_number>`: 指定服务器监听的端口号,默认为 `3000`。
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@@ -160,3 +160,5 @@ var OnlyOneLogFile = env.Bool("ONLY_ONE_LOG_FILE", false)
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var RelayProxy = env.String("RELAY_PROXY", "")
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var UserContentRequestProxy = env.String("USER_CONTENT_REQUEST_PROXY", "")
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var UserContentRequestTimeout = env.Int("USER_CONTENT_REQUEST_TIMEOUT", 30)
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var EnforceIncludeUsage = env.Bool("ENFORCE_INCLUDE_USAGE", false)
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@@ -137,3 +137,23 @@ func String2Int(str string) int {
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}
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return num
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}
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func Float64PtrMax(p *float64, maxValue float64) *float64 {
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if p == nil {
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return nil
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}
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if *p > maxValue {
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return &maxValue
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}
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return p
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}
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func Float64PtrMin(p *float64, minValue float64) *float64 {
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if p == nil {
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return nil
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}
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if *p < minValue {
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return &minValue
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}
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return p
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}
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@@ -76,9 +76,9 @@ func testChannel(channel *model.Channel, request *relaymodel.GeneralOpenAIReques
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if len(modelNames) > 0 {
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modelName = modelNames[0]
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}
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if modelMap != nil && modelMap[modelName] != "" {
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modelName = modelMap[modelName]
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}
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}
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if modelMap != nil && modelMap[modelName] != "" {
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modelName = modelMap[modelName]
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}
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meta.OriginModelName, meta.ActualModelName = request.Model, modelName
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request.Model = modelName
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@@ -36,9 +36,7 @@ func ConvertRequest(request model.GeneralOpenAIRequest) *ChatRequest {
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enableSearch = true
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aliModel = strings.TrimSuffix(aliModel, EnableSearchModelSuffix)
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}
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if request.TopP >= 1 {
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request.TopP = 0.9999
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}
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request.TopP = helper.Float64PtrMax(request.TopP, 0.9999)
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return &ChatRequest{
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Model: aliModel,
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Input: Input{
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@@ -16,13 +16,13 @@ type Input struct {
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}
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type Parameters struct {
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TopP float64 `json:"top_p,omitempty"`
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TopP *float64 `json:"top_p,omitempty"`
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TopK int `json:"top_k,omitempty"`
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Seed uint64 `json:"seed,omitempty"`
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EnableSearch bool `json:"enable_search,omitempty"`
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IncrementalOutput bool `json:"incremental_output,omitempty"`
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MaxTokens int `json:"max_tokens,omitempty"`
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Temperature float64 `json:"temperature,omitempty"`
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Temperature *float64 `json:"temperature,omitempty"`
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ResultFormat string `json:"result_format,omitempty"`
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Tools []model.Tool `json:"tools,omitempty"`
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}
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@@ -3,7 +3,11 @@ package anthropic
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var ModelList = []string{
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"claude-instant-1.2", "claude-2.0", "claude-2.1",
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"claude-3-haiku-20240307",
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"claude-3-5-haiku-20241022",
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"claude-3-sonnet-20240229",
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"claude-3-opus-20240229",
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"claude-3-5-sonnet-20240620",
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"claude-3-5-sonnet-20241022",
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"claude-3-5-sonnet-latest",
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"claude-3-5-haiku-20241022",
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}
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@@ -48,8 +48,8 @@ type Request struct {
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MaxTokens int `json:"max_tokens,omitempty"`
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StopSequences []string `json:"stop_sequences,omitempty"`
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Stream bool `json:"stream,omitempty"`
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Temperature float64 `json:"temperature,omitempty"`
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TopP float64 `json:"top_p,omitempty"`
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Temperature *float64 `json:"temperature,omitempty"`
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TopP *float64 `json:"top_p,omitempty"`
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TopK int `json:"top_k,omitempty"`
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Tools []Tool `json:"tools,omitempty"`
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ToolChoice any `json:"tool_choice,omitempty"`
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@@ -29,10 +29,13 @@ var AwsModelIDMap = map[string]string{
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"claude-instant-1.2": "anthropic.claude-instant-v1",
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"claude-2.0": "anthropic.claude-v2",
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"claude-2.1": "anthropic.claude-v2:1",
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"claude-3-sonnet-20240229": "anthropic.claude-3-sonnet-20240229-v1:0",
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"claude-3-5-sonnet-20240620": "anthropic.claude-3-5-sonnet-20240620-v1:0",
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"claude-3-opus-20240229": "anthropic.claude-3-opus-20240229-v1:0",
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"claude-3-haiku-20240307": "anthropic.claude-3-haiku-20240307-v1:0",
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"claude-3-sonnet-20240229": "anthropic.claude-3-sonnet-20240229-v1:0",
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||||
"claude-3-opus-20240229": "anthropic.claude-3-opus-20240229-v1:0",
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||||
"claude-3-5-sonnet-20240620": "anthropic.claude-3-5-sonnet-20240620-v1:0",
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"claude-3-5-sonnet-20241022": "anthropic.claude-3-5-sonnet-20241022-v2:0",
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"claude-3-5-sonnet-latest": "anthropic.claude-3-5-sonnet-20241022-v2:0",
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||||
"claude-3-5-haiku-20241022": "anthropic.claude-3-5-haiku-20241022-v1:0",
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}
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func awsModelID(requestModel string) (string, error) {
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@@ -11,8 +11,8 @@ type Request struct {
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Messages []anthropic.Message `json:"messages"`
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System string `json:"system,omitempty"`
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||||
MaxTokens int `json:"max_tokens,omitempty"`
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||||
Temperature float64 `json:"temperature,omitempty"`
|
||||
TopP float64 `json:"top_p,omitempty"`
|
||||
Temperature *float64 `json:"temperature,omitempty"`
|
||||
TopP *float64 `json:"top_p,omitempty"`
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||||
TopK int `json:"top_k,omitempty"`
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StopSequences []string `json:"stop_sequences,omitempty"`
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Tools []anthropic.Tool `json:"tools,omitempty"`
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@@ -4,10 +4,10 @@ package aws
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//
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// https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-meta.html
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type Request struct {
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Prompt string `json:"prompt"`
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MaxGenLen int `json:"max_gen_len,omitempty"`
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Temperature float64 `json:"temperature,omitempty"`
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||||
TopP float64 `json:"top_p,omitempty"`
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||||
Prompt string `json:"prompt"`
|
||||
MaxGenLen int `json:"max_gen_len,omitempty"`
|
||||
Temperature *float64 `json:"temperature,omitempty"`
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||||
TopP *float64 `json:"top_p,omitempty"`
|
||||
}
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||||
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||||
// Response is the response from AWS Llama3
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||||
@@ -35,9 +35,9 @@ type Message struct {
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||||
|
||||
type ChatRequest struct {
|
||||
Messages []Message `json:"messages"`
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||||
Temperature float64 `json:"temperature,omitempty"`
|
||||
TopP float64 `json:"top_p,omitempty"`
|
||||
PenaltyScore float64 `json:"penalty_score,omitempty"`
|
||||
Temperature *float64 `json:"temperature,omitempty"`
|
||||
TopP *float64 `json:"top_p,omitempty"`
|
||||
PenaltyScore *float64 `json:"penalty_score,omitempty"`
|
||||
Stream bool `json:"stream,omitempty"`
|
||||
System string `json:"system,omitempty"`
|
||||
DisableSearch bool `json:"disable_search,omitempty"`
|
||||
|
||||
@@ -9,5 +9,5 @@ type Request struct {
|
||||
Prompt string `json:"prompt,omitempty"`
|
||||
Raw bool `json:"raw,omitempty"`
|
||||
Stream bool `json:"stream,omitempty"`
|
||||
Temperature float64 `json:"temperature,omitempty"`
|
||||
Temperature *float64 `json:"temperature,omitempty"`
|
||||
}
|
||||
|
||||
@@ -43,7 +43,7 @@ func ConvertRequest(textRequest model.GeneralOpenAIRequest) *Request {
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||||
K: textRequest.TopK,
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Stream: textRequest.Stream,
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||||
FrequencyPenalty: textRequest.FrequencyPenalty,
|
||||
PresencePenalty: textRequest.FrequencyPenalty,
|
||||
PresencePenalty: textRequest.PresencePenalty,
|
||||
Seed: int(textRequest.Seed),
|
||||
}
|
||||
if cohereRequest.Model == "" {
|
||||
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||||
@@ -10,15 +10,15 @@ type Request struct {
|
||||
PromptTruncation string `json:"prompt_truncation,omitempty"` // 默认值为"AUTO"
|
||||
Connectors []Connector `json:"connectors,omitempty"`
|
||||
Documents []Document `json:"documents,omitempty"`
|
||||
Temperature float64 `json:"temperature,omitempty"` // 默认值为0.3
|
||||
Temperature *float64 `json:"temperature,omitempty"` // 默认值为0.3
|
||||
MaxTokens int `json:"max_tokens,omitempty"`
|
||||
MaxInputTokens int `json:"max_input_tokens,omitempty"`
|
||||
K int `json:"k,omitempty"` // 默认值为0
|
||||
P float64 `json:"p,omitempty"` // 默认值为0.75
|
||||
P *float64 `json:"p,omitempty"` // 默认值为0.75
|
||||
Seed int `json:"seed,omitempty"`
|
||||
StopSequences []string `json:"stop_sequences,omitempty"`
|
||||
FrequencyPenalty float64 `json:"frequency_penalty,omitempty"` // 默认值为0.0
|
||||
PresencePenalty float64 `json:"presence_penalty,omitempty"` // 默认值为0.0
|
||||
FrequencyPenalty *float64 `json:"frequency_penalty,omitempty"` // 默认值为0.0
|
||||
PresencePenalty *float64 `json:"presence_penalty,omitempty"` // 默认值为0.0
|
||||
Tools []Tool `json:"tools,omitempty"`
|
||||
ToolResults []ToolResult `json:"tool_results,omitempty"`
|
||||
}
|
||||
|
||||
@@ -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/songquanpeng/one-api/common"
|
||||
"github.com/songquanpeng/one-api/common/config"
|
||||
"github.com/songquanpeng/one-api/common/helper"
|
||||
@@ -28,6 +29,11 @@ const (
|
||||
VisionMaxImageNum = 16
|
||||
)
|
||||
|
||||
var mimeTypeMap = map[string]string{
|
||||
"json_object": "application/json",
|
||||
"text": "text/plain",
|
||||
}
|
||||
|
||||
// Setting safety to the lowest possible values since Gemini is already powerless enough
|
||||
func ConvertRequest(textRequest model.GeneralOpenAIRequest) *ChatRequest {
|
||||
geminiRequest := ChatRequest{
|
||||
@@ -56,6 +62,15 @@ func ConvertRequest(textRequest model.GeneralOpenAIRequest) *ChatRequest {
|
||||
MaxOutputTokens: textRequest.MaxTokens,
|
||||
},
|
||||
}
|
||||
if textRequest.ResponseFormat != nil {
|
||||
if mimeType, ok := mimeTypeMap[textRequest.ResponseFormat.Type]; ok {
|
||||
geminiRequest.GenerationConfig.ResponseMimeType = mimeType
|
||||
}
|
||||
if textRequest.ResponseFormat.JsonSchema != nil {
|
||||
geminiRequest.GenerationConfig.ResponseSchema = textRequest.ResponseFormat.JsonSchema.Schema
|
||||
geminiRequest.GenerationConfig.ResponseMimeType = mimeTypeMap["json_object"]
|
||||
}
|
||||
}
|
||||
if textRequest.Tools != nil {
|
||||
functions := make([]model.Function, 0, len(textRequest.Tools))
|
||||
for _, tool := range textRequest.Tools {
|
||||
|
||||
@@ -65,10 +65,12 @@ type ChatTools struct {
|
||||
}
|
||||
|
||||
type ChatGenerationConfig struct {
|
||||
Temperature float64 `json:"temperature,omitempty"`
|
||||
TopP float64 `json:"topP,omitempty"`
|
||||
TopK float64 `json:"topK,omitempty"`
|
||||
MaxOutputTokens int `json:"maxOutputTokens,omitempty"`
|
||||
CandidateCount int `json:"candidateCount,omitempty"`
|
||||
StopSequences []string `json:"stopSequences,omitempty"`
|
||||
ResponseMimeType string `json:"responseMimeType,omitempty"`
|
||||
ResponseSchema any `json:"responseSchema,omitempty"`
|
||||
Temperature *float64 `json:"temperature,omitempty"`
|
||||
TopP *float64 `json:"topP,omitempty"`
|
||||
TopK float64 `json:"topK,omitempty"`
|
||||
MaxOutputTokens int `json:"maxOutputTokens,omitempty"`
|
||||
CandidateCount int `json:"candidateCount,omitempty"`
|
||||
StopSequences []string `json:"stopSequences,omitempty"`
|
||||
}
|
||||
|
||||
@@ -4,14 +4,24 @@ package groq
|
||||
|
||||
var ModelList = []string{
|
||||
"gemma-7b-it",
|
||||
"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",
|
||||
"llama-3.2-11b-text-preview",
|
||||
"llama-3.2-11b-vision-preview",
|
||||
"llama-3.2-1b-preview",
|
||||
"llama-3.2-3b-preview",
|
||||
"llama-3.2-11b-vision-preview",
|
||||
"llama-3.2-90b-text-preview",
|
||||
"llama-3.2-90b-vision-preview",
|
||||
"llama-guard-3-8b",
|
||||
"llama3-70b-8192",
|
||||
"llama3-8b-8192",
|
||||
"llama3-groq-70b-8192-tool-use-preview",
|
||||
"llama3-groq-8b-8192-tool-use-preview",
|
||||
"llava-v1.5-7b-4096-preview",
|
||||
"mixtral-8x7b-32768",
|
||||
"distil-whisper-large-v3-en",
|
||||
"whisper-large-v3",
|
||||
"whisper-large-v3-turbo",
|
||||
}
|
||||
|
||||
@@ -1,14 +1,14 @@
|
||||
package ollama
|
||||
|
||||
type Options struct {
|
||||
Seed int `json:"seed,omitempty"`
|
||||
Temperature float64 `json:"temperature,omitempty"`
|
||||
TopK int `json:"top_k,omitempty"`
|
||||
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"`
|
||||
Seed int `json:"seed,omitempty"`
|
||||
Temperature *float64 `json:"temperature,omitempty"`
|
||||
TopK int `json:"top_k,omitempty"`
|
||||
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 {
|
||||
|
||||
@@ -75,6 +75,13 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
|
||||
if request == nil {
|
||||
return nil, errors.New("request is nil")
|
||||
}
|
||||
if request.Stream {
|
||||
// always return usage in stream mode
|
||||
if request.StreamOptions == nil {
|
||||
request.StreamOptions = &model.StreamOptions{}
|
||||
}
|
||||
request.StreamOptions.IncludeUsage = true
|
||||
}
|
||||
return request, nil
|
||||
}
|
||||
|
||||
|
||||
@@ -11,9 +11,10 @@ import (
|
||||
"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/siliconflow"
|
||||
"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/adaptor/xai"
|
||||
"github.com/songquanpeng/one-api/relay/channeltype"
|
||||
)
|
||||
|
||||
@@ -32,6 +33,7 @@ var CompatibleChannels = []int{
|
||||
channeltype.TogetherAI,
|
||||
channeltype.Novita,
|
||||
channeltype.SiliconFlow,
|
||||
channeltype.XAI,
|
||||
}
|
||||
|
||||
func GetCompatibleChannelMeta(channelType int) (string, []string) {
|
||||
@@ -64,6 +66,8 @@ func GetCompatibleChannelMeta(channelType int) (string, []string) {
|
||||
return "novita", novita.ModelList
|
||||
case channeltype.SiliconFlow:
|
||||
return "siliconflow", siliconflow.ModelList
|
||||
case channeltype.XAI:
|
||||
return "xai", xai.ModelList
|
||||
default:
|
||||
return "openai", ModelList
|
||||
}
|
||||
|
||||
@@ -19,11 +19,11 @@ type Prompt struct {
|
||||
}
|
||||
|
||||
type ChatRequest struct {
|
||||
Prompt Prompt `json:"prompt"`
|
||||
Temperature float64 `json:"temperature,omitempty"`
|
||||
CandidateCount int `json:"candidateCount,omitempty"`
|
||||
TopP float64 `json:"topP,omitempty"`
|
||||
TopK int `json:"topK,omitempty"`
|
||||
Prompt Prompt `json:"prompt"`
|
||||
Temperature *float64 `json:"temperature,omitempty"`
|
||||
CandidateCount int `json:"candidateCount,omitempty"`
|
||||
TopP *float64 `json:"topP,omitempty"`
|
||||
TopK int `json:"topK,omitempty"`
|
||||
}
|
||||
|
||||
type Error struct {
|
||||
|
||||
@@ -39,8 +39,8 @@ func ConvertRequest(request model.GeneralOpenAIRequest) *ChatRequest {
|
||||
Model: &request.Model,
|
||||
Stream: &request.Stream,
|
||||
Messages: messages,
|
||||
TopP: &request.TopP,
|
||||
Temperature: &request.Temperature,
|
||||
TopP: request.TopP,
|
||||
Temperature: request.Temperature,
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -13,7 +13,12 @@ import (
|
||||
)
|
||||
|
||||
var ModelList = []string{
|
||||
"claude-3-haiku@20240307", "claude-3-opus@20240229", "claude-3-5-sonnet@20240620", "claude-3-sonnet@20240229",
|
||||
"claude-3-haiku@20240307",
|
||||
"claude-3-sonnet@20240229",
|
||||
"claude-3-opus@20240229",
|
||||
"claude-3-5-sonnet@20240620",
|
||||
"claude-3-5-sonnet-v2@20241022",
|
||||
"claude-3-5-haiku@20241022",
|
||||
}
|
||||
|
||||
const anthropicVersion = "vertex-2023-10-16"
|
||||
|
||||
@@ -11,8 +11,8 @@ type Request struct {
|
||||
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"`
|
||||
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"`
|
||||
|
||||
@@ -15,7 +15,7 @@ import (
|
||||
)
|
||||
|
||||
var ModelList = []string{
|
||||
"gemini-1.5-pro-001", "gemini-1.5-flash-001", "gemini-pro", "gemini-pro-vision",
|
||||
"gemini-1.5-pro-001", "gemini-1.5-flash-001", "gemini-pro", "gemini-pro-vision", "gemini-1.5-pro-002", "gemini-1.5-flash-002",
|
||||
}
|
||||
|
||||
type Adaptor struct {
|
||||
|
||||
5
relay/adaptor/xai/constants.go
Normal file
5
relay/adaptor/xai/constants.go
Normal file
@@ -0,0 +1,5 @@
|
||||
package xai
|
||||
|
||||
var ModelList = []string{
|
||||
"grok-beta",
|
||||
}
|
||||
@@ -7,5 +7,6 @@ var ModelList = []string{
|
||||
"SparkDesk-v3.1",
|
||||
"SparkDesk-v3.1-128K",
|
||||
"SparkDesk-v3.5",
|
||||
"SparkDesk-v3.5-32K",
|
||||
"SparkDesk-v4.0",
|
||||
}
|
||||
|
||||
@@ -283,7 +283,7 @@ func parseAPIVersionByModelName(modelName string) string {
|
||||
func apiVersion2domain(apiVersion string) string {
|
||||
switch apiVersion {
|
||||
case "v1.1":
|
||||
return "general"
|
||||
return "lite"
|
||||
case "v2.1":
|
||||
return "generalv2"
|
||||
case "v3.1":
|
||||
@@ -292,6 +292,8 @@ func apiVersion2domain(apiVersion string) string {
|
||||
return "pro-128k"
|
||||
case "v3.5":
|
||||
return "generalv3.5"
|
||||
case "v3.5-32K":
|
||||
return "max-32k"
|
||||
case "v4.0":
|
||||
return "4.0Ultra"
|
||||
}
|
||||
@@ -303,7 +305,10 @@ func getXunfeiAuthUrl(apiVersion string, apiKey string, apiSecret string) (strin
|
||||
domain := apiVersion2domain(apiVersion)
|
||||
switch apiVersion {
|
||||
case "v3.1-128K":
|
||||
authUrl = buildXunfeiAuthUrl(fmt.Sprintf("wss://spark-api.xf-yun.com/%s/pro-128k", apiVersion), apiKey, apiSecret)
|
||||
authUrl = buildXunfeiAuthUrl(fmt.Sprintf("wss://spark-api.xf-yun.com/chat/pro-128k"), apiKey, apiSecret)
|
||||
break
|
||||
case "v3.5-32K":
|
||||
authUrl = buildXunfeiAuthUrl(fmt.Sprintf("wss://spark-api.xf-yun.com/chat/max-32k"), apiKey, apiSecret)
|
||||
break
|
||||
default:
|
||||
authUrl = buildXunfeiAuthUrl(fmt.Sprintf("wss://spark-api.xf-yun.com/%s/chat", apiVersion), apiKey, apiSecret)
|
||||
|
||||
@@ -19,11 +19,11 @@ type ChatRequest struct {
|
||||
} `json:"header"`
|
||||
Parameter struct {
|
||||
Chat struct {
|
||||
Domain string `json:"domain,omitempty"`
|
||||
Temperature float64 `json:"temperature,omitempty"`
|
||||
TopK int `json:"top_k,omitempty"`
|
||||
MaxTokens int `json:"max_tokens,omitempty"`
|
||||
Auditing bool `json:"auditing,omitempty"`
|
||||
Domain string `json:"domain,omitempty"`
|
||||
Temperature *float64 `json:"temperature,omitempty"`
|
||||
TopK int `json:"top_k,omitempty"`
|
||||
MaxTokens int `json:"max_tokens,omitempty"`
|
||||
Auditing bool `json:"auditing,omitempty"`
|
||||
} `json:"chat"`
|
||||
} `json:"parameter"`
|
||||
Payload struct {
|
||||
|
||||
@@ -4,13 +4,13 @@ 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"
|
||||
"github.com/songquanpeng/one-api/relay/relaymode"
|
||||
"io"
|
||||
"math"
|
||||
"net/http"
|
||||
"strings"
|
||||
)
|
||||
@@ -65,13 +65,13 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
|
||||
baiduEmbeddingRequest, err := ConvertEmbeddingRequest(*request)
|
||||
return baiduEmbeddingRequest, err
|
||||
default:
|
||||
// TopP (0.0, 1.0)
|
||||
request.TopP = math.Min(0.99, request.TopP)
|
||||
request.TopP = math.Max(0.01, request.TopP)
|
||||
// TopP [0.0, 1.0]
|
||||
request.TopP = helper.Float64PtrMax(request.TopP, 1)
|
||||
request.TopP = helper.Float64PtrMin(request.TopP, 0)
|
||||
|
||||
// Temperature (0.0, 1.0)
|
||||
request.Temperature = math.Min(0.99, request.Temperature)
|
||||
request.Temperature = math.Max(0.01, request.Temperature)
|
||||
// Temperature [0.0, 1.0]
|
||||
request.Temperature = helper.Float64PtrMax(request.Temperature, 1)
|
||||
request.Temperature = helper.Float64PtrMin(request.Temperature, 0)
|
||||
a.SetVersionByModeName(request.Model)
|
||||
if a.APIVersion == "v4" {
|
||||
return request, nil
|
||||
|
||||
@@ -12,8 +12,8 @@ type Message struct {
|
||||
|
||||
type Request struct {
|
||||
Prompt []Message `json:"prompt"`
|
||||
Temperature float64 `json:"temperature,omitempty"`
|
||||
TopP float64 `json:"top_p,omitempty"`
|
||||
Temperature *float64 `json:"temperature,omitempty"`
|
||||
TopP *float64 `json:"top_p,omitempty"`
|
||||
RequestId string `json:"request_id,omitempty"`
|
||||
Incremental bool `json:"incremental,omitempty"`
|
||||
}
|
||||
|
||||
@@ -79,8 +79,10 @@ var ModelRatio = map[string]float64{
|
||||
"claude-2.0": 8.0 / 1000 * USD,
|
||||
"claude-2.1": 8.0 / 1000 * USD,
|
||||
"claude-3-haiku-20240307": 0.25 / 1000 * USD,
|
||||
"claude-3-5-haiku-20241022": 1.0 / 1000 * USD,
|
||||
"claude-3-sonnet-20240229": 3.0 / 1000 * USD,
|
||||
"claude-3-5-sonnet-20240620": 3.0 / 1000 * USD,
|
||||
"claude-3-5-sonnet-20241022": 3.0 / 1000 * USD,
|
||||
"claude-3-opus-20240229": 15.0 / 1000 * USD,
|
||||
// https://cloud.baidu.com/doc/WENXINWORKSHOP/s/hlrk4akp7
|
||||
"ERNIE-4.0-8K": 0.120 * RMB,
|
||||
@@ -130,6 +132,7 @@ var ModelRatio = map[string]float64{
|
||||
"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
|
||||
@@ -161,15 +164,21 @@ var ModelRatio = map[string]float64{
|
||||
"mistral-embed": 0.1 / 1000 * USD,
|
||||
// https://wow.groq.com/#:~:text=inquiries%C2%A0here.-,Model,-Current%20Speed
|
||||
"gemma-7b-it": 0.07 / 1000000 * USD,
|
||||
"mixtral-8x7b-32768": 0.24 / 1000000 * USD,
|
||||
"llama3-8b-8192": 0.05 / 1000000 * USD,
|
||||
"llama3-70b-8192": 0.59 / 1000000 * USD,
|
||||
"gemma2-9b-it": 0.20 / 1000000 * USD,
|
||||
"llama-3.1-405b-reasoning": 0.89 / 1000000 * USD,
|
||||
"llama-3.1-70b-versatile": 0.59 / 1000000 * USD,
|
||||
"llama-3.1-8b-instant": 0.05 / 1000000 * USD,
|
||||
"llama-3.2-11b-text-preview": 0.05 / 1000000 * USD,
|
||||
"llama-3.2-11b-vision-preview": 0.05 / 1000000 * USD,
|
||||
"llama-3.2-1b-preview": 0.05 / 1000000 * USD,
|
||||
"llama-3.2-3b-preview": 0.05 / 1000000 * USD,
|
||||
"llama-3.2-90b-text-preview": 0.59 / 1000000 * USD,
|
||||
"llama-guard-3-8b": 0.05 / 1000000 * USD,
|
||||
"llama3-70b-8192": 0.59 / 1000000 * USD,
|
||||
"llama3-8b-8192": 0.05 / 1000000 * USD,
|
||||
"llama3-groq-70b-8192-tool-use-preview": 0.89 / 1000000 * USD,
|
||||
"llama3-groq-8b-8192-tool-use-preview": 0.19 / 1000000 * USD,
|
||||
"mixtral-8x7b-32768": 0.24 / 1000000 * USD,
|
||||
|
||||
// https://platform.lingyiwanwu.com/docs#-计费单元
|
||||
"yi-34b-chat-0205": 2.5 / 1000 * RMB,
|
||||
"yi-34b-chat-200k": 12.0 / 1000 * RMB,
|
||||
@@ -200,6 +209,8 @@ var ModelRatio = map[string]float64{
|
||||
"deepl-zh": 25.0 / 1000 * USD,
|
||||
"deepl-en": 25.0 / 1000 * USD,
|
||||
"deepl-ja": 25.0 / 1000 * USD,
|
||||
// https://console.x.ai/
|
||||
"grok-beta": 5.0 / 1000 * USD,
|
||||
}
|
||||
|
||||
var CompletionRatio = map[string]float64{
|
||||
@@ -364,6 +375,8 @@ func GetCompletionRatio(name string, channelType int) float64 {
|
||||
return 3
|
||||
case "command-r-plus":
|
||||
return 5
|
||||
case "grok-beta":
|
||||
return 3
|
||||
}
|
||||
return 1
|
||||
}
|
||||
|
||||
@@ -46,5 +46,6 @@ const (
|
||||
VertextAI
|
||||
Proxy
|
||||
SiliconFlow
|
||||
XAI
|
||||
Dummy
|
||||
)
|
||||
|
||||
@@ -45,7 +45,8 @@ var ChannelBaseURLs = []string{
|
||||
"https://api.novita.ai/v3/openai", // 41
|
||||
"", // 42
|
||||
"", // 43
|
||||
"https://api.siliconflow.cn", // 44
|
||||
"https://api.siliconflow.cn", // 44
|
||||
"https://api.x.ai", // 45
|
||||
}
|
||||
|
||||
func init() {
|
||||
|
||||
@@ -4,6 +4,7 @@ import (
|
||||
"bytes"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/songquanpeng/one-api/common/config"
|
||||
"io"
|
||||
"net/http"
|
||||
|
||||
@@ -84,7 +85,7 @@ func RelayTextHelper(c *gin.Context) *model.ErrorWithStatusCode {
|
||||
}
|
||||
|
||||
func getRequestBody(c *gin.Context, meta *meta.Meta, textRequest *model.GeneralOpenAIRequest, adaptor adaptor.Adaptor) (io.Reader, error) {
|
||||
if meta.APIType == apitype.OpenAI && meta.OriginModelName == meta.ActualModelName && meta.ChannelType != channeltype.Baichuan {
|
||||
if !config.EnforceIncludeUsage && meta.APIType == apitype.OpenAI && meta.OriginModelName == meta.ActualModelName && meta.ChannelType != channeltype.Baichuan {
|
||||
// no need to convert request for openai
|
||||
return c.Request.Body, nil
|
||||
}
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
package model
|
||||
|
||||
const (
|
||||
ContentTypeText = "text"
|
||||
ContentTypeImageURL = "image_url"
|
||||
ContentTypeText = "text"
|
||||
ContentTypeImageURL = "image_url"
|
||||
ContentTypeInputAudio = "input_audio"
|
||||
)
|
||||
|
||||
@@ -12,32 +12,59 @@ type JSONSchema struct {
|
||||
Strict *bool `json:"strict,omitempty"`
|
||||
}
|
||||
|
||||
type Audio struct {
|
||||
Voice string `json:"voice,omitempty"`
|
||||
Format string `json:"format,omitempty"`
|
||||
}
|
||||
|
||||
type StreamOptions struct {
|
||||
IncludeUsage bool `json:"include_usage,omitempty"`
|
||||
}
|
||||
|
||||
type GeneralOpenAIRequest struct {
|
||||
Messages []Message `json:"messages,omitempty"`
|
||||
Model string `json:"model,omitempty"`
|
||||
FrequencyPenalty float64 `json:"frequency_penalty,omitempty"`
|
||||
MaxTokens int `json:"max_tokens,omitempty"`
|
||||
N int `json:"n,omitempty"`
|
||||
PresencePenalty float64 `json:"presence_penalty,omitempty"`
|
||||
ResponseFormat *ResponseFormat `json:"response_format,omitempty"`
|
||||
Seed float64 `json:"seed,omitempty"`
|
||||
Stop any `json:"stop,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"`
|
||||
FunctionCall any `json:"function_call,omitempty"`
|
||||
Functions any `json:"functions,omitempty"`
|
||||
User string `json:"user,omitempty"`
|
||||
Prompt any `json:"prompt,omitempty"`
|
||||
Input any `json:"input,omitempty"`
|
||||
EncodingFormat string `json:"encoding_format,omitempty"`
|
||||
Dimensions int `json:"dimensions,omitempty"`
|
||||
Instruction string `json:"instruction,omitempty"`
|
||||
Size string `json:"size,omitempty"`
|
||||
NumCtx int `json:"num_ctx,omitempty"`
|
||||
// https://platform.openai.com/docs/api-reference/chat/create
|
||||
Messages []Message `json:"messages,omitempty"`
|
||||
Model string `json:"model,omitempty"`
|
||||
Store *bool `json:"store,omitempty"`
|
||||
Metadata any `json:"metadata,omitempty"`
|
||||
FrequencyPenalty *float64 `json:"frequency_penalty,omitempty"`
|
||||
LogitBias any `json:"logit_bias,omitempty"`
|
||||
Logprobs *bool `json:"logprobs,omitempty"`
|
||||
TopLogprobs *int `json:"top_logprobs,omitempty"`
|
||||
MaxTokens int `json:"max_tokens,omitempty"`
|
||||
MaxCompletionTokens *int `json:"max_completion_tokens,omitempty"`
|
||||
N int `json:"n,omitempty"`
|
||||
Modalities []string `json:"modalities,omitempty"`
|
||||
Prediction any `json:"prediction,omitempty"`
|
||||
Audio *Audio `json:"audio,omitempty"`
|
||||
PresencePenalty *float64 `json:"presence_penalty,omitempty"`
|
||||
ResponseFormat *ResponseFormat `json:"response_format,omitempty"`
|
||||
Seed float64 `json:"seed,omitempty"`
|
||||
ServiceTier *string `json:"service_tier,omitempty"`
|
||||
Stop any `json:"stop,omitempty"`
|
||||
Stream bool `json:"stream,omitempty"`
|
||||
StreamOptions *StreamOptions `json:"stream_options,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"`
|
||||
ParallelTooCalls *bool `json:"parallel_tool_calls,omitempty"`
|
||||
User string `json:"user,omitempty"`
|
||||
FunctionCall any `json:"function_call,omitempty"`
|
||||
Functions any `json:"functions,omitempty"`
|
||||
// https://platform.openai.com/docs/api-reference/embeddings/create
|
||||
Input any `json:"input,omitempty"`
|
||||
EncodingFormat string `json:"encoding_format,omitempty"`
|
||||
Dimensions int `json:"dimensions,omitempty"`
|
||||
// https://platform.openai.com/docs/api-reference/images/create
|
||||
Prompt any `json:"prompt,omitempty"`
|
||||
Quality *string `json:"quality,omitempty"`
|
||||
Size string `json:"size,omitempty"`
|
||||
Style *string `json:"style,omitempty"`
|
||||
// Others
|
||||
Instruction string `json:"instruction,omitempty"`
|
||||
NumCtx int `json:"num_ctx,omitempty"`
|
||||
}
|
||||
|
||||
func (r GeneralOpenAIRequest) ParseInput() []string {
|
||||
|
||||
@@ -395,7 +395,7 @@ const TokensTable = () => {
|
||||
url = mjLink + `/#/?settings={"key":"sk-${key}","url":"${serverAddress}"}`;
|
||||
break;
|
||||
case 'lobechat':
|
||||
url = chatLink + `/?settings={"keyVaults":{"openai":{"apiKey":"sk-${key}","baseURL":"${serverAddress}"/v1"}}}`;
|
||||
url = chatLink + `/?settings={"keyVaults":{"openai":{"apiKey":"sk-${key}","baseURL":"${serverAddress}/v1"}}}`;
|
||||
break;
|
||||
default:
|
||||
if (!chatLink) {
|
||||
|
||||
@@ -30,6 +30,7 @@ export const CHANNEL_OPTIONS = [
|
||||
{ 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: 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' },
|
||||
|
||||
@@ -63,7 +63,7 @@ const EditChannel = (props) => {
|
||||
let localModels = [];
|
||||
switch (value) {
|
||||
case 14:
|
||||
localModels = ["claude-instant-1.2", "claude-2", "claude-2.0", "claude-2.1", "claude-3-opus-20240229", "claude-3-sonnet-20240229", "claude-3-haiku-20240307", "claude-3-5-sonnet-20240620"];
|
||||
localModels = ["claude-instant-1.2", "claude-2", "claude-2.0", "claude-2.1", "claude-3-opus-20240229", "claude-3-sonnet-20240229", "claude-3-haiku-20240307", "claude-3-5-haiku-20241022", "claude-3-5-sonnet-20240620", "claude-3-5-sonnet-20241022"];
|
||||
break;
|
||||
case 11:
|
||||
localModels = ['PaLM-2'];
|
||||
@@ -78,7 +78,7 @@ const EditChannel = (props) => {
|
||||
localModels = ['chatglm_pro', 'chatglm_std', 'chatglm_lite'];
|
||||
break;
|
||||
case 18:
|
||||
localModels = ['SparkDesk', 'SparkDesk-v1.1', 'SparkDesk-v2.1', 'SparkDesk-v3.1', 'SparkDesk-v3.1-128K', 'SparkDesk-v3.5', 'SparkDesk-v4.0'];
|
||||
localModels = ['SparkDesk', 'SparkDesk-v1.1', 'SparkDesk-v2.1', 'SparkDesk-v3.1', 'SparkDesk-v3.1-128K', 'SparkDesk-v3.5', 'SparkDesk-v3.5-32K', 'SparkDesk-v4.0'];
|
||||
break;
|
||||
case 19:
|
||||
localModels = ['360GPT_S2_V9', 'embedding-bert-512-v1', 'embedding_s1_v1', 'semantic_similarity_s1_v1'];
|
||||
|
||||
@@ -179,6 +179,12 @@ export const CHANNEL_OPTIONS = {
|
||||
value: 44,
|
||||
color: 'primary'
|
||||
},
|
||||
45: {
|
||||
key: 45,
|
||||
text: 'xAI',
|
||||
value: 45,
|
||||
color: 'primary'
|
||||
},
|
||||
41: {
|
||||
key: 41,
|
||||
text: 'Novita',
|
||||
|
||||
@@ -91,7 +91,7 @@ const typeConfig = {
|
||||
other: '版本号'
|
||||
},
|
||||
input: {
|
||||
models: ['SparkDesk', 'SparkDesk-v1.1', 'SparkDesk-v2.1', 'SparkDesk-v3.1', 'SparkDesk-v3.1-128K', 'SparkDesk-v3.5', 'SparkDesk-v4.0']
|
||||
models: ['SparkDesk', 'SparkDesk-v1.1', 'SparkDesk-v2.1', 'SparkDesk-v3.1', 'SparkDesk-v3.1-128K', 'SparkDesk-v3.5', 'SparkDesk-v3.5-32K', 'SparkDesk-v4.0']
|
||||
},
|
||||
prompt: {
|
||||
key: '按照如下格式输入:APPID|APISecret|APIKey',
|
||||
@@ -223,6 +223,9 @@ const typeConfig = {
|
||||
},
|
||||
modelGroup: 'anthropic'
|
||||
},
|
||||
45: {
|
||||
modelGroup: 'xai'
|
||||
},
|
||||
};
|
||||
|
||||
export { defaultConfig, typeConfig };
|
||||
|
||||
@@ -33,7 +33,7 @@ const COPY_OPTIONS = [
|
||||
},
|
||||
{ key: 'ama', text: 'BotGem', url: 'ama://set-api-key?server={serverAddress}&key=sk-{key}', encode: true },
|
||||
{ key: 'opencat', text: 'OpenCat', url: 'opencat://team/join?domain={serverAddress}&token=sk-{key}', encode: true },
|
||||
{ key: 'lobechat', text: 'LobeChat', url: 'https://lobehub.com/?settings={"keyVaults":{"openai":{"apiKey":"user-key","baseURL":"https://your-proxy.com/v1"}}}', encode: true }
|
||||
{ key: 'lobechat', text: 'LobeChat', url: 'https://lobehub.com/?settings={"keyVaults":{"openai":{"apiKey":"sk-{key}","baseURL":"{serverAddress}"}}}', encode: true }
|
||||
];
|
||||
|
||||
function replacePlaceholders(text, key, serverAddress) {
|
||||
|
||||
@@ -59,6 +59,12 @@ function renderBalance(type, balance) {
|
||||
}
|
||||
}
|
||||
|
||||
function isShowDetail() {
|
||||
return localStorage.getItem("show_detail") === "true";
|
||||
}
|
||||
|
||||
const promptID = "detail"
|
||||
|
||||
const ChannelsTable = () => {
|
||||
const [channels, setChannels] = useState([]);
|
||||
const [loading, setLoading] = useState(true);
|
||||
@@ -66,7 +72,8 @@ const ChannelsTable = () => {
|
||||
const [searchKeyword, setSearchKeyword] = useState('');
|
||||
const [searching, setSearching] = useState(false);
|
||||
const [updatingBalance, setUpdatingBalance] = useState(false);
|
||||
const [showPrompt, setShowPrompt] = useState(shouldShowPrompt("channel-test"));
|
||||
const [showPrompt, setShowPrompt] = useState(shouldShowPrompt(promptID));
|
||||
const [showDetail, setShowDetail] = useState(isShowDetail());
|
||||
|
||||
const loadChannels = async (startIdx) => {
|
||||
const res = await API.get(`/api/channel/?p=${startIdx}`);
|
||||
@@ -120,6 +127,11 @@ const ChannelsTable = () => {
|
||||
await loadChannels(activePage - 1);
|
||||
};
|
||||
|
||||
const toggleShowDetail = () => {
|
||||
setShowDetail(!showDetail);
|
||||
localStorage.setItem("show_detail", (!showDetail).toString());
|
||||
}
|
||||
|
||||
useEffect(() => {
|
||||
loadChannels(0)
|
||||
.then()
|
||||
@@ -364,11 +376,13 @@ const ChannelsTable = () => {
|
||||
showPrompt && (
|
||||
<Message onDismiss={() => {
|
||||
setShowPrompt(false);
|
||||
setPromptShown("channel-test");
|
||||
setPromptShown(promptID);
|
||||
}}>
|
||||
OpenAI 渠道已经不再支持通过 key 获取余额,因此余额显示为 0。对于支持的渠道类型,请点击余额进行刷新。
|
||||
<br/>
|
||||
渠道测试仅支持 chat 模型,优先使用 gpt-3.5-turbo,如果该模型不可用则使用你所配置的模型列表中的第一个模型。
|
||||
<br/>
|
||||
点击下方详情按钮可以显示余额以及设置额外的测试模型。
|
||||
</Message>
|
||||
)
|
||||
}
|
||||
@@ -428,6 +442,7 @@ const ChannelsTable = () => {
|
||||
onClick={() => {
|
||||
sortChannel('balance');
|
||||
}}
|
||||
hidden={!showDetail}
|
||||
>
|
||||
余额
|
||||
</Table.HeaderCell>
|
||||
@@ -439,7 +454,7 @@ const ChannelsTable = () => {
|
||||
>
|
||||
优先级
|
||||
</Table.HeaderCell>
|
||||
<Table.HeaderCell>测试模型</Table.HeaderCell>
|
||||
<Table.HeaderCell hidden={!showDetail}>测试模型</Table.HeaderCell>
|
||||
<Table.HeaderCell>操作</Table.HeaderCell>
|
||||
</Table.Row>
|
||||
</Table.Header>
|
||||
@@ -467,7 +482,7 @@ const ChannelsTable = () => {
|
||||
basic
|
||||
/>
|
||||
</Table.Cell>
|
||||
<Table.Cell>
|
||||
<Table.Cell hidden={!showDetail}>
|
||||
<Popup
|
||||
trigger={<span onClick={() => {
|
||||
updateChannelBalance(channel.id, channel.name, idx);
|
||||
@@ -494,7 +509,7 @@ const ChannelsTable = () => {
|
||||
basic
|
||||
/>
|
||||
</Table.Cell>
|
||||
<Table.Cell>
|
||||
<Table.Cell hidden={!showDetail}>
|
||||
<Dropdown
|
||||
placeholder='请选择测试模型'
|
||||
selection
|
||||
@@ -573,7 +588,7 @@ const ChannelsTable = () => {
|
||||
|
||||
<Table.Footer>
|
||||
<Table.Row>
|
||||
<Table.HeaderCell colSpan='9'>
|
||||
<Table.HeaderCell colSpan={showDetail ? "10" : "8"}>
|
||||
<Button size='small' as={Link} to='/channel/add' loading={loading}>
|
||||
添加新的渠道
|
||||
</Button>
|
||||
@@ -611,6 +626,7 @@ const ChannelsTable = () => {
|
||||
}
|
||||
/>
|
||||
<Button size='small' onClick={refresh} loading={loading}>刷新</Button>
|
||||
<Button size='small' onClick={toggleShowDetail}>{showDetail ? "隐藏详情" : "详情"}</Button>
|
||||
</Table.HeaderCell>
|
||||
</Table.Row>
|
||||
</Table.Footer>
|
||||
|
||||
@@ -117,7 +117,7 @@ const TokensTable = () => {
|
||||
url = nextUrl;
|
||||
break;
|
||||
case 'lobechat':
|
||||
url = nextLink + `/?settings={"keyVaults":{"openai":{"apiKey":"sk-${key}","baseURL":"${serverAddress}"/v1"}}}`;
|
||||
url = nextLink + `/?settings={"keyVaults":{"openai":{"apiKey":"sk-${key}","baseURL":"${serverAddress}/v1"}}}`;
|
||||
break;
|
||||
default:
|
||||
url = `sk-${key}`;
|
||||
@@ -160,7 +160,7 @@ const TokensTable = () => {
|
||||
break;
|
||||
|
||||
case 'lobechat':
|
||||
url = chatLink + `/?settings={"keyVaults":{"openai":{"apiKey":"sk-${key}","baseURL":"${serverAddress}"/v1"}}}`;
|
||||
url = chatLink + `/?settings={"keyVaults":{"openai":{"apiKey":"sk-${key}","baseURL":"${serverAddress}/v1"}}}`;
|
||||
break;
|
||||
|
||||
default:
|
||||
|
||||
@@ -30,6 +30,7 @@ export const CHANNEL_OPTIONS = [
|
||||
{ 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: 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' },
|
||||
|
||||
@@ -2,7 +2,7 @@ import React from 'react';
|
||||
import { Header, Segment } from 'semantic-ui-react';
|
||||
import ChannelsTable from '../../components/ChannelsTable';
|
||||
|
||||
const File = () => (
|
||||
const Channel = () => (
|
||||
<>
|
||||
<Segment>
|
||||
<Header as='h3'>管理渠道</Header>
|
||||
@@ -11,4 +11,4 @@ const File = () => (
|
||||
</>
|
||||
);
|
||||
|
||||
export default File;
|
||||
export default Channel;
|
||||
|
||||
Reference in New Issue
Block a user