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Commit cbbe4cb4 by comeback01
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Merge remote-tracking branch 'upstream/main' into traduction

parents 05d3ddb3 1ba2cb0b
Showing with 409 additions and 75 deletions
dto/channel_settings.go
......@@ -19,4 +19,12 @@ const (
type ChannelOtherSettings struct {
AzureResponsesVersion string `json:"azure_responses_version,omitempty"`
VertexKeyType VertexKeyType `json:"vertex_key_type,omitempty"` // "json" or "api_key"
OpenRouterEnterprise *bool `json:"openrouter_enterprise,omitempty"`
}
func (s *ChannelOtherSettings) IsOpenRouterEnterprise() bool {
if s == nil || s.OpenRouterEnterprise == nil {
return false
}
return *s.OpenRouterEnterprise
}
relay/channel/api_request.go
......@@ -265,6 +265,7 @@ func doRequest(c *gin.Context, req *http.Request, info *common.RelayInfo) (*http
resp, err := client.Do(req)
if err != nil {
logger.LogError(c, "do request failed: "+err.Error())
return nil, types.NewError(err, types.ErrorCodeDoRequestFailed, types.ErrOptionWithHideErrMsg("upstream error: do request failed"))
}
if resp == nil {
......
relay/channel/ollama/adaptor.go
......@@ -10,6 +10,7 @@ import (
relaycommon "one-api/relay/common"
relayconstant "one-api/relay/constant"
"one-api/types"
"strings"
"github.com/gin-gonic/gin"
)
......@@ -17,10 +18,7 @@ import (
type Adaptor struct {
}
func (a *Adaptor) ConvertGeminiRequest(*gin.Context, *relaycommon.RelayInfo, *dto.GeminiChatRequest) (any, error) {
//TODO implement me
return nil, errors.New("not implemented")
}
func (a *Adaptor) ConvertGeminiRequest(*gin.Context, *relaycommon.RelayInfo, *dto.GeminiChatRequest) (any, error) { return nil, errors.New("not implemented") }
func (a *Adaptor) ConvertClaudeRequest(c *gin.Context, info *relaycommon.RelayInfo, request *dto.ClaudeRequest) (any, error) {
openaiAdaptor := openai.Adaptor{}
......@@ -31,32 +29,21 @@ func (a *Adaptor) ConvertClaudeRequest(c *gin.Context, info *relaycommon.RelayIn
openaiRequest.(*dto.GeneralOpenAIRequest).StreamOptions = &dto.StreamOptions{
IncludeUsage: true,
}
return requestOpenAI2Ollama(c, openaiRequest.(*dto.GeneralOpenAIRequest))
// map to ollama chat request (Claude -> OpenAI -> Ollama chat)
return openAIChatToOllamaChat(c, openaiRequest.(*dto.GeneralOpenAIRequest))
}
func (a *Adaptor) ConvertAudioRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.AudioRequest) (io.Reader, error) {
//TODO implement me
return nil, errors.New("not implemented")
}
func (a *Adaptor) ConvertAudioRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.AudioRequest) (io.Reader, error) { return nil, errors.New("not implemented") }
func (a *Adaptor) ConvertImageRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.ImageRequest) (any, error) {
//TODO implement me
return nil, errors.New("not implemented")
}
func (a *Adaptor) ConvertImageRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.ImageRequest) (any, error) { return nil, errors.New("not implemented") }
func (a *Adaptor) Init(info *relaycommon.RelayInfo) {
}
func (a *Adaptor) GetRequestURL(info *relaycommon.RelayInfo) (string, error) {
if info.RelayFormat == types.RelayFormatClaude {
return info.ChannelBaseUrl + "/v1/chat/completions", nil
}
switch info.RelayMode {
case relayconstant.RelayModeEmbeddings:
return info.ChannelBaseUrl + "/api/embed", nil
default:
return relaycommon.GetFullRequestURL(info.ChannelBaseUrl, info.RequestURLPath, info.ChannelType), nil
}
if info.RelayMode == relayconstant.RelayModeEmbeddings { return info.ChannelBaseUrl + "/api/embed", nil }
if strings.Contains(info.RequestURLPath, "/v1/completions") || info.RelayMode == relayconstant.RelayModeCompletions { return info.ChannelBaseUrl + "/api/generate", nil }
return info.ChannelBaseUrl + "/api/chat", nil
}
func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Header, info *relaycommon.RelayInfo) error {
......@@ -66,10 +53,12 @@ func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Header, info *rel
}
func (a *Adaptor) ConvertOpenAIRequest(c *gin.Context, info *relaycommon.RelayInfo, request *dto.GeneralOpenAIRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
if request == nil { return nil, errors.New("request is nil") }
// decide generate or chat
if strings.Contains(info.RequestURLPath, "/v1/completions") || info.RelayMode == relayconstant.RelayModeCompletions {
return openAIToGenerate(c, request)
}
return requestOpenAI2Ollama(c, request)
return openAIChatToOllamaChat(c, request)
}
func (a *Adaptor) ConvertRerankRequest(c *gin.Context, relayMode int, request dto.RerankRequest) (any, error) {
......@@ -80,10 +69,7 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
return requestOpenAI2Embeddings(request), nil
}
func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
// TODO implement me
return nil, errors.New("not implemented")
}
func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) { return nil, errors.New("not implemented") }
func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
return channel.DoApiRequest(a, c, info, requestBody)
......@@ -92,15 +78,13 @@ func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, request
func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (usage any, err *types.NewAPIError) {
switch info.RelayMode {
case relayconstant.RelayModeEmbeddings:
usage, err = ollamaEmbeddingHandler(c, info, resp)
return ollamaEmbeddingHandler(c, info, resp)
default:
if info.IsStream {
usage, err = openai.OaiStreamHandler(c, info, resp)
} else {
usage, err = openai.OpenaiHandler(c, info, resp)
return ollamaStreamHandler(c, info, resp)
}
return ollamaChatHandler(c, info, resp)
}
return
}
func (a *Adaptor) GetModelList() []string {
......
relay/channel/ollama/dto.go
......@@ -2,48 +2,69 @@ package ollama
import (
"encoding/json"
"one-api/dto"
)
type OllamaRequest struct {
Model string `json:"model,omitempty"`
Messages []dto.Message `json:"messages,omitempty"`
type OllamaChatMessage struct {
Role string `json:"role"`
Content string `json:"content,omitempty"`
Images []string `json:"images,omitempty"`
ToolCalls []OllamaToolCall `json:"tool_calls,omitempty"`
ToolName string `json:"tool_name,omitempty"`
Thinking json.RawMessage `json:"thinking,omitempty"`
}
type OllamaToolFunction struct {
Name string `json:"name"`
Description string `json:"description,omitempty"`
Parameters interface{} `json:"parameters,omitempty"`
}
type OllamaTool struct {
Type string `json:"type"`
Function OllamaToolFunction `json:"function"`
}
type OllamaToolCall struct {
Function struct {
Name string `json:"name"`
Arguments interface{} `json:"arguments"`
} `json:"function"`
}
type OllamaChatRequest struct {
Model string `json:"model"`
Messages []OllamaChatMessage `json:"messages"`
Tools interface{} `json:"tools,omitempty"`
Format interface{} `json:"format,omitempty"`
Stream bool `json:"stream,omitempty"`
Temperature *float64 `json:"temperature,omitempty"`
Seed float64 `json:"seed,omitempty"`
Topp float64 `json:"top_p,omitempty"`
TopK int `json:"top_k,omitempty"`
Stop any `json:"stop,omitempty"`
MaxTokens uint `json:"max_tokens,omitempty"`
Tools []dto.ToolCallRequest `json:"tools,omitempty"`
ResponseFormat any `json:"response_format,omitempty"`
FrequencyPenalty float64 `json:"frequency_penalty,omitempty"`
PresencePenalty float64 `json:"presence_penalty,omitempty"`
Suffix any `json:"suffix,omitempty"`
StreamOptions *dto.StreamOptions `json:"stream_options,omitempty"`
Prompt any `json:"prompt,omitempty"`
Options map[string]any `json:"options,omitempty"`
KeepAlive interface{} `json:"keep_alive,omitempty"`
Think json.RawMessage `json:"think,omitempty"`
}
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"`
type OllamaGenerateRequest struct {
Model string `json:"model"`
Prompt string `json:"prompt,omitempty"`
Suffix string `json:"suffix,omitempty"`
Images []string `json:"images,omitempty"`
Format interface{} `json:"format,omitempty"`
Stream bool `json:"stream,omitempty"`
Options map[string]any `json:"options,omitempty"`
KeepAlive interface{} `json:"keep_alive,omitempty"`
Think json.RawMessage `json:"think,omitempty"`
}
type OllamaEmbeddingRequest struct {
Model string `json:"model,omitempty"`
Input []string `json:"input"`
Options *Options `json:"options,omitempty"`
Model string `json:"model"`
Input interface{} `json:"input"`
Options map[string]any `json:"options,omitempty"`
Dimensions int `json:"dimensions,omitempty"`
}
type OllamaEmbeddingResponse struct {
Error string `json:"error,omitempty"`
Model string `json:"model"`
Embedding [][]float64 `json:"embeddings,omitempty"`
Embeddings [][]float64 `json:"embeddings"`
PromptEvalCount int `json:"prompt_eval_count,omitempty"`
}
relay/channel/ollama/stream.go 0 → 100644
package ollama
import (
"bufio"
"encoding/json"
"fmt"
"io"
"net/http"
"one-api/common"
"one-api/dto"
"one-api/logger"
relaycommon "one-api/relay/common"
"one-api/relay/helper"
"one-api/service"
"one-api/types"
"strings"
"time"
"github.com/gin-gonic/gin"
)
type ollamaChatStreamChunk struct {
Model string `json:"model"`
CreatedAt string `json:"created_at"`
// chat
Message *struct {
Role string `json:"role"`
Content string `json:"content"`
Thinking json.RawMessage `json:"thinking"`
ToolCalls []struct {
Function struct {
Name string `json:"name"`
Arguments interface{} `json:"arguments"`
} `json:"function"`
} `json:"tool_calls"`
} `json:"message"`
// generate
Response string `json:"response"`
Done bool `json:"done"`
DoneReason string `json:"done_reason"`
TotalDuration int64 `json:"total_duration"`
LoadDuration int64 `json:"load_duration"`
PromptEvalCount int `json:"prompt_eval_count"`
EvalCount int `json:"eval_count"`
PromptEvalDuration int64 `json:"prompt_eval_duration"`
EvalDuration int64 `json:"eval_duration"`
}
func toUnix(ts string) int64 {
if ts == "" { return time.Now().Unix() }
// try time.RFC3339 or with nanoseconds
t, err := time.Parse(time.RFC3339Nano, ts)
if err != nil { t2, err2 := time.Parse(time.RFC3339, ts); if err2==nil { return t2.Unix() }; return time.Now().Unix() }
return t.Unix()
}
func ollamaStreamHandler(c *gin.Context, info *relaycommon.RelayInfo, resp *http.Response) (*dto.Usage, *types.NewAPIError) {
if resp == nil || resp.Body == nil { return nil, types.NewOpenAIError(fmt.Errorf("empty response"), types.ErrorCodeBadResponse, http.StatusBadRequest) }
defer service.CloseResponseBodyGracefully(resp)
helper.SetEventStreamHeaders(c)
scanner := bufio.NewScanner(resp.Body)
usage := &dto.Usage{}
var model = info.UpstreamModelName
var responseId = common.GetUUID()
var created = time.Now().Unix()
var toolCallIndex int
start := helper.GenerateStartEmptyResponse(responseId, created, model, nil)
if data, err := common.Marshal(start); err == nil { _ = helper.StringData(c, string(data)) }
for scanner.Scan() {
line := scanner.Text()
line = strings.TrimSpace(line)
if line == "" { continue }
var chunk ollamaChatStreamChunk
if err := json.Unmarshal([]byte(line), &chunk); err != nil {
logger.LogError(c, "ollama stream json decode error: "+err.Error()+" line="+line)
return usage, types.NewOpenAIError(err, types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
}
if chunk.Model != "" { model = chunk.Model }
created = toUnix(chunk.CreatedAt)
if !chunk.Done {
// delta content
var content string
if chunk.Message != nil { content = chunk.Message.Content } else { content = chunk.Response }
delta := dto.ChatCompletionsStreamResponse{
Id: responseId,
Object: "chat.completion.chunk",
Created: created,
Model: model,
Choices: []dto.ChatCompletionsStreamResponseChoice{ {
Index: 0,
Delta: dto.ChatCompletionsStreamResponseChoiceDelta{ Role: "assistant" },
} },
}
if content != "" { delta.Choices[0].Delta.SetContentString(content) }
if chunk.Message != nil && len(chunk.Message.Thinking) > 0 {
raw := strings.TrimSpace(string(chunk.Message.Thinking))
if raw != "" && raw != "null" { delta.Choices[0].Delta.SetReasoningContent(raw) }
}
// tool calls
if chunk.Message != nil && len(chunk.Message.ToolCalls) > 0 {
delta.Choices[0].Delta.ToolCalls = make([]dto.ToolCallResponse,0,len(chunk.Message.ToolCalls))
for _, tc := range chunk.Message.ToolCalls {
// arguments -> string
argBytes, _ := json.Marshal(tc.Function.Arguments)
toolId := fmt.Sprintf("call_%d", toolCallIndex)
tr := dto.ToolCallResponse{ID:toolId, Type:"function", Function: dto.FunctionResponse{Name: tc.Function.Name, Arguments: string(argBytes)}}
tr.SetIndex(toolCallIndex)
toolCallIndex++
delta.Choices[0].Delta.ToolCalls = append(delta.Choices[0].Delta.ToolCalls, tr)
}
}
if data, err := common.Marshal(delta); err == nil { _ = helper.StringData(c, string(data)) }
continue
}
// done frame
// finalize once and break loop
usage.PromptTokens = chunk.PromptEvalCount
usage.CompletionTokens = chunk.EvalCount
usage.TotalTokens = usage.PromptTokens + usage.CompletionTokens
finishReason := chunk.DoneReason
if finishReason == "" { finishReason = "stop" }
// emit stop delta
if stop := helper.GenerateStopResponse(responseId, created, model, finishReason); stop != nil {
if data, err := common.Marshal(stop); err == nil { _ = helper.StringData(c, string(data)) }
}
// emit usage frame
if final := helper.GenerateFinalUsageResponse(responseId, created, model, *usage); final != nil {
if data, err := common.Marshal(final); err == nil { _ = helper.StringData(c, string(data)) }
}
// send [DONE]
helper.Done(c)
break
}
if err := scanner.Err(); err != nil && err != io.EOF { logger.LogError(c, "ollama stream scan error: "+err.Error()) }
return usage, nil
}
// non-stream handler for chat/generate
func ollamaChatHandler(c *gin.Context, info *relaycommon.RelayInfo, resp *http.Response) (*dto.Usage, *types.NewAPIError) {
body, err := io.ReadAll(resp.Body)
if err != nil { return nil, types.NewOpenAIError(err, types.ErrorCodeReadResponseBodyFailed, http.StatusInternalServerError) }
service.CloseResponseBodyGracefully(resp)
raw := string(body)
if common.DebugEnabled { println("ollama non-stream raw resp:", raw) }
lines := strings.Split(raw, "\n")
var (
aggContent strings.Builder
reasoningBuilder strings.Builder
lastChunk ollamaChatStreamChunk
parsedAny bool
)
for _, ln := range lines {
ln = strings.TrimSpace(ln)
if ln == "" { continue }
var ck ollamaChatStreamChunk
if err := json.Unmarshal([]byte(ln), &ck); err != nil {
if len(lines) == 1 { return nil, types.NewOpenAIError(err, types.ErrorCodeBadResponseBody, http.StatusInternalServerError) }
continue
}
parsedAny = true
lastChunk = ck
if ck.Message != nil && len(ck.Message.Thinking) > 0 {
raw := strings.TrimSpace(string(ck.Message.Thinking))
if raw != "" && raw != "null" { reasoningBuilder.WriteString(raw) }
}
if ck.Message != nil && ck.Message.Content != "" { aggContent.WriteString(ck.Message.Content) } else if ck.Response != "" { aggContent.WriteString(ck.Response) }
}
if !parsedAny {
var single ollamaChatStreamChunk
if err := json.Unmarshal(body, &single); err != nil { return nil, types.NewOpenAIError(err, types.ErrorCodeBadResponseBody, http.StatusInternalServerError) }
lastChunk = single
if single.Message != nil {
if len(single.Message.Thinking) > 0 { raw := strings.TrimSpace(string(single.Message.Thinking)); if raw != "" && raw != "null" { reasoningBuilder.WriteString(raw) } }
aggContent.WriteString(single.Message.Content)
} else { aggContent.WriteString(single.Response) }
}
model := lastChunk.Model
if model == "" { model = info.UpstreamModelName }
created := toUnix(lastChunk.CreatedAt)
usage := &dto.Usage{PromptTokens: lastChunk.PromptEvalCount, CompletionTokens: lastChunk.EvalCount, TotalTokens: lastChunk.PromptEvalCount + lastChunk.EvalCount}
content := aggContent.String()
finishReason := lastChunk.DoneReason
if finishReason == "" { finishReason = "stop" }
msg := dto.Message{Role: "assistant", Content: contentPtr(content)}
if rc := reasoningBuilder.String(); rc != "" { msg.ReasoningContent = rc }
full := dto.OpenAITextResponse{
Id: common.GetUUID(),
Model: model,
Object: "chat.completion",
Created: created,
Choices: []dto.OpenAITextResponseChoice{ {
Index: 0,
Message: msg,
FinishReason: finishReason,
} },
Usage: *usage,
}
out, _ := common.Marshal(full)
service.IOCopyBytesGracefully(c, resp, out)
return usage, nil
}
func contentPtr(s string) *string { if s=="" { return nil }; return &s }
relay/channel/openai/relay-openai.go
......@@ -12,6 +12,7 @@ import (
"one-api/constant"
"one-api/dto"
"one-api/logger"
"one-api/relay/channel/openrouter"
relaycommon "one-api/relay/common"
"one-api/relay/helper"
"one-api/service"
......@@ -185,10 +186,27 @@ func OpenaiHandler(c *gin.Context, info *relaycommon.RelayInfo, resp *http.Respo
if common.DebugEnabled {
println("upstream response body:", string(responseBody))
}
// Unmarshal to simpleResponse
if info.ChannelType == constant.ChannelTypeOpenRouter && info.ChannelOtherSettings.IsOpenRouterEnterprise() {
// 尝试解析为 openrouter enterprise
var enterpriseResponse openrouter.OpenRouterEnterpriseResponse
err = common.Unmarshal(responseBody, &enterpriseResponse)
if err != nil {
return nil, types.NewOpenAIError(err, types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
}
if enterpriseResponse.Success {
responseBody = enterpriseResponse.Data
} else {
logger.LogError(c, fmt.Sprintf("openrouter enterprise response success=false, data: %s", enterpriseResponse.Data))
return nil, types.NewOpenAIError(fmt.Errorf("openrouter response success=false"), types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
}
}
err = common.Unmarshal(responseBody, &simpleResponse)
if err != nil {
return nil, types.NewOpenAIError(err, types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
}
if oaiError := simpleResponse.GetOpenAIError(); oaiError != nil && oaiError.Type != "" {
return nil, types.WithOpenAIError(*oaiError, resp.StatusCode)
}
......
relay/channel/openrouter/dto.go
package openrouter
import "encoding/json"
type RequestReasoning struct {
// One of the following (not both):
Effort string `json:"effort,omitempty"` // Can be "high", "medium", or "low" (OpenAI-style)
......@@ -7,3 +9,8 @@ type RequestReasoning struct {
// Optional: Default is false. All models support this.
Exclude bool `json:"exclude,omitempty"` // Set to true to exclude reasoning tokens from response
}
type OpenRouterEnterpriseResponse struct {
Data json.RawMessage `json:"data"`
Success bool `json:"success"`
}
relay/channel/volcengine/adaptor.go
......@@ -9,6 +9,7 @@ import (
"mime/multipart"
"net/http"
"net/textproto"
channelconstant "one-api/constant"
"one-api/dto"
"one-api/relay/channel"
"one-api/relay/channel/openai"
......@@ -188,20 +189,26 @@ func (a *Adaptor) Init(info *relaycommon.RelayInfo) {
}
func (a *Adaptor) GetRequestURL(info *relaycommon.RelayInfo) (string, error) {
// 支持自定义域名，如果未设置则使用默认域名
baseUrl := info.ChannelBaseUrl
if baseUrl == "" {
baseUrl = channelconstant.ChannelBaseURLs[channelconstant.ChannelTypeVolcEngine]
}
switch info.RelayMode {
case constant.RelayModeChatCompletions:
if strings.HasPrefix(info.UpstreamModelName, "bot") {
return fmt.Sprintf("%s/api/v3/bots/chat/completions", info.ChannelBaseUrl), nil
return fmt.Sprintf("%s/api/v3/bots/chat/completions", baseUrl), nil
}
return fmt.Sprintf("%s/api/v3/chat/completions", info.ChannelBaseUrl), nil
return fmt.Sprintf("%s/api/v3/chat/completions", baseUrl), nil
case constant.RelayModeEmbeddings:
return fmt.Sprintf("%s/api/v3/embeddings", info.ChannelBaseUrl), nil
return fmt.Sprintf("%s/api/v3/embeddings", baseUrl), nil
case constant.RelayModeImagesGenerations:
return fmt.Sprintf("%s/api/v3/images/generations", info.ChannelBaseUrl), nil
return fmt.Sprintf("%s/api/v3/images/generations", baseUrl), nil
case constant.RelayModeImagesEdits:
return fmt.Sprintf("%s/api/v3/images/edits", info.ChannelBaseUrl), nil
return fmt.Sprintf("%s/api/v3/images/edits", baseUrl), nil
case constant.RelayModeRerank:
return fmt.Sprintf("%s/api/v3/rerank", info.ChannelBaseUrl), nil
return fmt.Sprintf("%s/api/v3/rerank", baseUrl), nil
default:
}
return "", fmt.Errorf("unsupported relay mode: %d", info.RelayMode)
......
relay/channel/volcengine/constants.go
......@@ -9,6 +9,11 @@ var ModelList = []string{
"Doubao-lite-4k",
"Doubao-embedding",
"doubao-seedream-4-0-250828",
"seedream-4-0-250828",
"doubao-seedance-1-0-pro-250528",
"seedance-1-0-pro-250528",
"doubao-seed-1-6-thinking-250715",
"seed-1-6-thinking-250715",
}
var ChannelName = "volcengine"
relay/channel/xunfei/relay-xunfei.go
......@@ -207,10 +207,6 @@ func xunfeiMakeRequest(textRequest dto.GeneralOpenAIRequest, domain, authUrl, ap
return nil, nil, err
}
defer func() {
conn.Close()
}()
data := requestOpenAI2Xunfei(textRequest, appId, domain)
err = conn.WriteJSON(data)
if err != nil {
......@@ -220,6 +216,9 @@ func xunfeiMakeRequest(textRequest dto.GeneralOpenAIRequest, domain, authUrl, ap
dataChan := make(chan XunfeiChatResponse)
stopChan := make(chan bool)
go func() {
defer func() {
conn.Close()
}()
for {
_, msg, err := conn.ReadMessage()
if err != nil {
......
web/src/components/table/channels/modals/EditChannelModal.jsx
......@@ -164,6 +164,8 @@ const EditChannelModal = (props) => {
settings: '',
// 仅 Vertex: 密钥格式（存入 settings.vertex_key_type）
vertex_key_type: 'json',
// 企业账户设置
is_enterprise_account: false,
};
const [batch, setBatch] = useState(false);
const [multiToSingle, setMultiToSingle] = useState(false);
......@@ -189,6 +191,7 @@ const EditChannelModal = (props) => {
const [channelSearchValue, setChannelSearchValue] = useState('');
const [useManualInput, setUseManualInput] = useState(false); // 是否使用手动输入模式
const [keyMode, setKeyMode] = useState('append'); // 密钥模式：replace（覆盖）或 append（追加）
const [isEnterpriseAccount, setIsEnterpriseAccount] = useState(false); // 是否为企业账户
// 2FA验证查看密钥相关状态
const [twoFAState, setTwoFAState] = useState({
......@@ -235,7 +238,7 @@ const EditChannelModal = (props) => {
pass_through_body_enabled: false,
system_prompt: '',
});
const showApiConfigCard = inputs.type !== 45; // 控制是否显示 API 配置卡片（仅当渠道类型不是 豆包 时显示）
const showApiConfigCard = true; // 控制是否显示 API 配置卡片
const getInitValues = () => ({ ...originInputs });
// 处理渠道额外设置的更新
......@@ -342,6 +345,10 @@ const EditChannelModal = (props) => {
case 36:
localModels = ['suno_music', 'suno_lyrics'];
break;
case 45:
localModels = getChannelModels(value);
setInputs((prevInputs) => ({ ...prevInputs, base_url: 'https://ark.cn-beijing.volces.com' }));
break;
default:
localModels = getChannelModels(value);
break;
......@@ -433,15 +440,19 @@ const EditChannelModal = (props) => {
parsedSettings.azure_responses_version || '';
// 读取 Vertex 密钥格式
data.vertex_key_type = parsedSettings.vertex_key_type || 'json';
// 读取企业账户设置
data.is_enterprise_account = parsedSettings.openrouter_enterprise === true;
} catch (error) {
console.error('解析其他设置失败:', error);
data.azure_responses_version = '';
data.region = '';
data.vertex_key_type = 'json';
data.is_enterprise_account = false;
}
} else {
// 兼容历史数据：老渠道没有 settings 时，默认按 json 展示
data.vertex_key_type = 'json';
data.is_enterprise_account = false;
}
setInputs(data);
......@@ -453,6 +464,8 @@ const EditChannelModal = (props) => {
} else {
setAutoBan(true);
}
// 同步企业账户状态
setIsEnterpriseAccount(data.is_enterprise_account || false);
setBasicModels(getChannelModels(data.type));
// 同步更新channelSettings状态显示
setChannelSettings({
......@@ -712,6 +725,8 @@ const EditChannelModal = (props) => {
});
// 重置密钥模式状态
setKeyMode('append');
// 重置企业账户状态
setIsEnterpriseAccount(false);
// 清空表单中的key_mode字段
if (formApiRef.current) {
formApiRef.current.setValue('key_mode', undefined);
......@@ -842,6 +857,10 @@ const EditChannelModal = (props) => {
showInfo(t('请至少选择一个模型！'));
return;
}
if (localInputs.type === 45 && (!localInputs.base_url || localInputs.base_url.trim() === '')) {
showInfo(t('请输入API地址！'));
return;
}
if (
localInputs.model_mapping &&
localInputs.model_mapping !== '' &&
......@@ -871,6 +890,21 @@ const EditChannelModal = (props) => {
};
localInputs.setting = JSON.stringify(channelExtraSettings);
// 处理type === 20的企业账户设置
if (localInputs.type === 20) {
let settings = {};
if (localInputs.settings) {
try {
settings = JSON.parse(localInputs.settings);
} catch (error) {
console.error('解析settings失败:', error);
}
}
// 设置企业账户标识，无论是true还是false都要传到后端
settings.openrouter_enterprise = localInputs.is_enterprise_account === true;
localInputs.settings = JSON.stringify(settings);
}
// 清理不需要发送到后端的字段
delete localInputs.force_format;
delete localInputs.thinking_to_content;
......@@ -878,6 +912,7 @@ const EditChannelModal = (props) => {
delete localInputs.pass_through_body_enabled;
delete localInputs.system_prompt;
delete localInputs.system_prompt_override;
delete localInputs.is_enterprise_account;
// 顶层的 vertex_key_type 不应发送给后端
delete localInputs.vertex_key_type;
......@@ -1195,6 +1230,21 @@ const EditChannelModal = (props) => {
onChange={(value) => handleInputChange('type', value)}
/>
{inputs.type === 20 && (
<Form.Switch
field='is_enterprise_account'
label={t('是否为企业账户')}
checkedText={t('是')}
uncheckedText={t('否')}
onChange={(value) => {
setIsEnterpriseAccount(value);
handleInputChange('is_enterprise_account', value);
}}
extraText={t('企业账户为特殊返回格式，需要特殊处理，如果非企业账户，请勿勾选')}
initValue={inputs.is_enterprise_account}
/>
)}
<Form.Input
field='name'
label={t('名称')}
......@@ -1809,6 +1859,30 @@ const EditChannelModal = (props) => {
/>
</div>
)}
{inputs.type === 45 && (
<div>
<Form.Select
field='base_url'
label={t('API地址')}
placeholder={t('请选择API地址')}
onChange={(value) =>
handleInputChange('base_url', value)
}
optionList={[
{
value: 'https://ark.cn-beijing.volces.com',
label: 'https://ark.cn-beijing.volces.com'
},
{
value: 'https://ark.ap-southeast.bytepluses.com',
label: 'https://ark.ap-southeast.bytepluses.com'
}
]}
defaultValue='https://ark.cn-beijing.volces.com'
/>
</div>
)}
</Card>
)}
......
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