Files
ragflow/internal/entity/models/xunfei.go
jay77721 d357eea8ef feat(go-models): migrate batch 5 model drivers to unified handlers (#17700)
## Summary

Relate to #17284. Completes the batch 5 migration of 7 OpenAI-compatible
drivers (`vllm`, `volcengine`, `xai`, `xiaomi`, `xinference`, `xunfei`,
`zhipu-ai`) onto the unified request/response helpers
(`doRequest`/`doStreamRequest` +
`HandleNonStreamingResponse`/`HandleStreamingResponse` +
`ParserConfig`), established by `deepseek` in #17634.

This branch is rebased on the current `pr/migrate-models-batch5` and
fixes the issues in the previous state of the PR.

Co-authored-by: Haruko386 <tryeverypossible@163.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-08-03 20:19:22 +08:00

256 lines
8.9 KiB
Go

//
// Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
package models
import (
"context"
"encoding/json"
"fmt"
"io"
"ragflow/internal/common"
"strings"
)
// sparkModelVersions maps the catalog model names to the version identifiers
// the XunFei Spark HTTP API expects in the request body's "model" field.
// Mirrors SparkChat.model2version in rag/llm/chat_model.py.
var sparkModelVersions = map[string]string{
"Spark-Max": "generalv3.5",
"Spark-Max-32K": "max-32k",
"Spark-Lite": "lite",
"Spark-Pro": "generalv3",
"Spark-Pro-128K": "pro-128k",
"Spark-4.0-Ultra": "4.0Ultra",
}
func resolveSparkModel(modelName string) string {
if version, ok := sparkModelVersions[modelName]; ok {
return version
}
return modelName
}
// resolveBearerToken extracts the credential used as the Bearer token. The
// instance stores the XunFei credential bundle (API password, APPID, API
// secret, API key) as a JSON object string; the Spark HTTP API authenticates
// with the bundle's spark_api_password.
func resolveBearerToken(apiConfig *APIConfig) string {
if apiConfig == nil || apiConfig.ApiKey == nil {
return ""
}
key := strings.TrimSpace(*apiConfig.ApiKey)
if strings.HasPrefix(key, "{") {
var bundle map[string]interface{}
if err := json.Unmarshal([]byte(key), &bundle); err == nil {
if password, ok := bundle["spark_api_password"].(string); ok && password != "" {
return password
}
}
}
return key
}
type XunFeiModel struct {
baseModel BaseModel
}
func NewXunFeiModel(baseURL map[string]string, urlSuffix URLSuffix) *XunFeiModel {
return &XunFeiModel{
baseModel: BaseModel{
BaseURL: baseURL,
URLSuffix: urlSuffix,
httpClient: NewDriverHTTPClient(false),
// The Spark HTTP API authenticates with the credential bundle's
// spark_api_password, not the raw stored key.
authHeader: func(cfg *APIConfig) (string, string) {
return "Authorization", "Bearer " + resolveBearerToken(cfg)
},
},
}
}
func (x *XunFeiModel) NewInstance(baseURL map[string]string) ModelDriver {
return NewXunFeiModel(baseURL, x.baseModel.URLSuffix)
}
func (x *XunFeiModel) Name() string {
return "XunFei Spark"
}
func (x *XunFeiModel) ChatWithMessages(ctx context.Context, modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig, modelUsage *common.ModelUsage) (*ChatResponse, error) {
if err := x.baseModel.APIConfigCheck(apiConfig); err != nil {
return nil, err
}
if len(messages) == 0 {
return nil, fmt.Errorf("messages is empty")
}
resolvedBaseURL, err := x.baseModel.GetBaseURL(apiConfig)
if err != nil {
return nil, err
}
url := fmt.Sprintf("%s/%s", resolvedBaseURL, x.baseModel.URLSuffix.Chat)
reqBody := buildRequestBody(chatModelConfig, resolveSparkModel(modelName), messages, false)
if chatModelConfig != nil {
if chatModelConfig.Thinking != nil {
if *chatModelConfig.Thinking {
reqBody["thinking"] = map[string]interface{}{
"type": "enabled",
}
} else {
reqBody["thinking"] = map[string]interface{}{
"type": "disabled",
}
}
}
}
body, err := x.baseModel.doRequest(ctx, url, apiConfig, reqBody, nonStreamCallTimeout)
if err != nil {
return nil, err
}
return HandleNonStreamingResponse(body, modelUsage, chatModelConfig, OpenAIParserConfig)
}
func (x *XunFeiModel) ChatStreamlyWithSender(ctx context.Context, modelName string, messages []Message, apiConfig *APIConfig, modelConfig *ChatConfig, modelUsage *common.ModelUsage, sender func(*string, *string) error) error {
if err := x.baseModel.APIConfigCheck(apiConfig); err != nil {
return err
}
if len(messages) == 0 {
return fmt.Errorf("messages is empty")
}
resolvedBaseURL, err := x.baseModel.GetBaseURL(apiConfig)
if err != nil {
return err
}
url := fmt.Sprintf("%s/%s", resolvedBaseURL, x.baseModel.URLSuffix.Chat)
reqBody := buildRequestBody(modelConfig, resolveSparkModel(modelName), messages, true)
if modelConfig != nil {
if modelConfig.Thinking != nil {
if *modelConfig.Thinking {
reqBody["thinking"] = map[string]interface{}{
"type": "enabled",
}
} else {
reqBody["thinking"] = map[string]interface{}{
"type": "disabled",
}
}
}
}
// XunFei's OpenAI-compatible endpoint does not document support for
// stream_options.include_usage, but its streaming responses carry a
// usage object in the final chunk by default, so usage reporting works
// without it.
return x.baseModel.doStreamRequest(ctx, url, apiConfig, reqBody, streamCallTimeout, func(body io.ReadCloser) error {
return HandleStreamingResponse(body, modelUsage, modelConfig, OpenAIParserConfig, sender)
})
}
func (x *XunFeiModel) Embed(ctx context.Context, modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig, modelUsage *common.ModelUsage) ([]EmbeddingData, error) {
return nil, fmt.Errorf("%s, no such method", x.Name())
}
func (x *XunFeiModel) Rerank(ctx context.Context, modelName *string, query string, documents []string, apiConfig *APIConfig, rerankConfig *RerankConfig, modelUsage *common.ModelUsage) (*RerankResponse, error) {
return nil, fmt.Errorf("%s, no such method", x.Name())
}
func (x *XunFeiModel) TranscribeAudio(ctx context.Context, modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, modelUsage *common.ModelUsage) (*ASRResponse, error) {
return nil, fmt.Errorf("%s, no such method", x.Name())
}
func (x *XunFeiModel) TranscribeAudioWithSender(ctx context.Context, modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, modelUsage *common.ModelUsage, sender func(*string, *string) error) error {
return fmt.Errorf("%s, no such method", x.Name())
}
func (x *XunFeiModel) AudioSpeech(ctx context.Context, modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, modelUsage *common.ModelUsage) (*TTSResponse, error) {
return nil, fmt.Errorf("%s, no such method", x.Name())
}
func (x *XunFeiModel) AudioSpeechWithSender(ctx context.Context, modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, modelUsage *common.ModelUsage, sender func(*string, *string) error) error {
return fmt.Errorf("%s, no such method", x.Name())
}
func (x *XunFeiModel) OCRFile(ctx context.Context, modelName *string, content []byte, url *string, apiConfig *APIConfig, ocrConfig *OCRConfig, modelUsage *common.ModelUsage) (*OCRFileResponse, error) {
return nil, fmt.Errorf("%s, no such method", x.Name())
}
func (x *XunFeiModel) ParseFile(ctx context.Context, modelName *string, content []byte, url *string, apiConfig *APIConfig, parseFileConfig *ParseFileConfig, modelUsage *common.ModelUsage) (*ParseFileResponse, error) {
return nil, fmt.Errorf("%s, no such method", x.Name())
}
func (x *XunFeiModel) ListModels(ctx context.Context, apiConfig *APIConfig) ([]ListModelResponse, error) {
if err := x.baseModel.APIConfigCheck(apiConfig); err != nil {
return nil, err
}
resolvedBaseURL, err := x.baseModel.GetBaseURL(apiConfig)
if err != nil {
return nil, err
}
url := fmt.Sprintf("%s/%s", resolvedBaseURL, x.baseModel.URLSuffix.Models)
body, err := x.baseModel.doGetRequest(ctx, url, apiConfig, nonStreamCallTimeout)
if err != nil {
return nil, err
}
// Parse response
var modelList ModelList
if err = json.Unmarshal(body, &modelList); err != nil {
return nil, fmt.Errorf("failed to parse response: %w", err)
}
if modelList.Models == nil {
return nil, fmt.Errorf("invalid models list format")
}
return ParseListModel(modelList), nil
}
func (x *XunFeiModel) Balance(ctx context.Context, apiConfig *APIConfig) (map[string]interface{}, error) {
return nil, fmt.Errorf("%s, no such method", x.Name())
}
func (x *XunFeiModel) CheckConnection(ctx context.Context, apiConfig *APIConfig) error {
if err := x.baseModel.APIConfigCheck(apiConfig); err != nil {
return err
}
// Verify the credential bundle with a minimal chat request against the
// free Spark-Lite model.
maxTokens := 1
chatConfig := &ChatConfig{MaxTokens: &maxTokens}
_, err := x.ChatWithMessages(ctx, "Spark-Lite", []Message{{Role: "user", Content: "Hi"}}, apiConfig, chatConfig, nil)
return err
}
func (x *XunFeiModel) ListTasks(ctx context.Context, apiConfig *APIConfig) ([]ListTaskStatus, error) {
return nil, fmt.Errorf("%s, no such method", x.Name())
}
func (x *XunFeiModel) ShowTask(ctx context.Context, taskID string, apiConfig *APIConfig) (*TaskResponse, error) {
return nil, fmt.Errorf("%s, no such method", x.Name())
}