mirror of
https://github.com/infiniflow/ragflow.git
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342 lines
11 KiB
Go
342 lines
11 KiB
Go
//
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// Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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package models
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import (
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"bytes"
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"context"
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"encoding/json"
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"fmt"
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"io"
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"mime/multipart"
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"net/http"
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"os"
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"path/filepath"
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"strings"
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"ragflow/internal/common"
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)
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// OpenAIAPICompatibleModel implements ModelDriver for any OpenAI-API-compatible
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// provider. It reuses VllmModel's implementation via struct embedding, matching
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// the Python backend where OpenAI-API-Compatible and VLLM share the same
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// OpenAIAPIChat class.
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type OpenAIAPICompatibleModel struct {
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*VllmModel
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}
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// NewOpenAIAPICompatibleModel creates a new OpenAI-API-Compatible model instance
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func NewOpenAIAPICompatibleModel(baseURL map[string]string, urlSuffix URLSuffix) *OpenAIAPICompatibleModel {
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return &OpenAIAPICompatibleModel{
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VllmModel: NewVllmModel(baseURL, urlSuffix),
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}
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}
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// Name returns the provider identifier
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func (m *OpenAIAPICompatibleModel) Name() string {
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return "OpenAI-API-Compatible"
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}
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// NewInstance creates a new instance with the given baseURL, returning the
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// same OpenAIAPICompatibleModel type.
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func (m *OpenAIAPICompatibleModel) NewInstance(baseURL map[string]string) ModelDriver {
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return NewOpenAIAPICompatibleModel(baseURL, m.baseModel.URLSuffix)
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}
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// ListModels overrides VllmModel.ListModels to apply hint-based model type
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// inference and filter out models whose types cannot be mapped to any known
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// RAGFlow LLM type (e.g. image-generation-only models).
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func (m *OpenAIAPICompatibleModel) ListModels(ctx context.Context, apiConfig *APIConfig) ([]ListModelResponse, error) {
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models, err := m.VllmModel.ListModels(ctx, apiConfig)
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if err != nil {
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return nil, err
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}
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filtered := make([]ListModelResponse, 0, len(models))
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for _, model := range models {
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inferred := InferModelTypes(model.Name)
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if len(inferred) == 0 {
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continue
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}
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model.ModelTypes = inferred
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filtered = append(filtered, model)
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}
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return filtered, nil
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}
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// Hint keywords for model type inference, matching Python's
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// OpenAIAPICompatible class-level hint constants.
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var (
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embeddingHints = []string{"embed", "embedding", "bge"}
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rerankHints = []string{"rerank", "reranker"}
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asrHints = []string{"asr", "stt", "transcribe", "transcriber", "whisper"}
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ttsHints = []string{"tts", "text-to-speech"}
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visionHints = []string{
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"vl", "vision", "llava", "internvl", "minicpm-v",
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"gpt-4o", "glm-4v", "qvq", "qwen-vl", "pixtral",
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}
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ocrHints = []string{"ocr"}
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)
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// containsHint checks whether modelName (lowercased) contains any of the
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// given hint substrings.
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func containsHint(modelName string, hints []string) bool {
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for _, hint := range hints {
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if strings.Contains(modelName, hint) {
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return true
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}
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}
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return false
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}
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// InferModelTypes derives RAGFlow LLM model types from the model name using
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// keyword heuristics, covering all seven supported types: chat, embedding,
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// rerank, asr, tts, ocr, and vision (always combined with chat).
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func InferModelTypes(modelName string) []string {
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lower := strings.ToLower(modelName)
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if containsHint(lower, rerankHints) {
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return []string{"rerank"}
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}
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if containsHint(lower, embeddingHints) {
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return []string{"embedding"}
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}
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if containsHint(lower, asrHints) {
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return []string{"asr"}
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}
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if containsHint(lower, ttsHints) {
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return []string{"tts"}
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}
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if containsHint(lower, ocrHints) {
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return []string{"ocr"}
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}
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types := []string{"chat"}
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if containsHint(lower, visionHints) {
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types = append(types, "vision")
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}
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return types
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}
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// ttsVoiceForModel maps model names to appropriate TTS voices for
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// OpenAI-compatible providers (e.g. SiliconFlow). Returns "alloy" as
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// the generic fallback.
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func ttsVoiceForModel(modelName string) string {
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lower := strings.ToLower(modelName)
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switch {
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case strings.Contains(lower, "cosyvoice"):
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return modelName + ":anna"
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case strings.Contains(lower, "fishaudio") || strings.Contains(lower, "fish-speech"):
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return "alex"
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case strings.Contains(lower, "chattts"):
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return "alex"
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case strings.Contains(lower, "gpt-sovits"):
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return "alex"
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case strings.Contains(lower, "bert-vits2"):
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return "alex"
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default:
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return "alloy"
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}
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}
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// AudioSpeech converts text to speech via the OpenAI-compatible
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// POST /v1/audio/speech endpoint. It does not require a voice parameter,
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// matching the behaviour of many OpenAI-compatible gateway providers (e.g.
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// SiliconFlow) where voice is optional or provider-specific.
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func (m *OpenAIAPICompatibleModel) AudioSpeech(ctx context.Context, modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, modelUsage *common.ModelUsage) (*TTSResponse, error) {
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if err := m.baseModel.APIConfigCheck(apiConfig); err != nil {
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return nil, err
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}
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if modelName == nil || *modelName == "" {
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return nil, fmt.Errorf("model name is required")
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}
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if audioContent == nil || *audioContent == "" {
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return nil, fmt.Errorf("audio content is empty")
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}
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if strings.TrimSpace(m.baseModel.URLSuffix.TTS) == "" {
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return nil, fmt.Errorf("%s TTS URL suffix is not configured", m.Name())
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}
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reqCtx, cancel := context.WithTimeout(ctx, nonStreamCallTimeout)
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defer cancel()
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resolvedBaseURL, err := m.baseModel.GetBaseURL(apiConfig)
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if err != nil {
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return nil, err
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}
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url := fmt.Sprintf("%s/%s", strings.TrimSuffix(resolvedBaseURL, "/"), strings.TrimPrefix(m.baseModel.URLSuffix.TTS, "/"))
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reqBody := map[string]interface{}{
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"model": *modelName,
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"input": *audioContent,
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"voice": ttsVoiceForModel(*modelName),
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}
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if ttsConfig != nil {
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if ttsConfig.Format != "" {
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reqBody["response_format"] = ttsConfig.Format
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}
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if ttsConfig.Params != nil {
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for key, value := range ttsConfig.Params {
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reqBody[key] = value
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}
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}
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}
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jsonData, err := json.Marshal(reqBody)
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if err != nil {
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return nil, fmt.Errorf("failed to marshal request: %w", err)
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}
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req, err := http.NewRequestWithContext(reqCtx, "POST", url, bytes.NewBuffer(jsonData))
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if err != nil {
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return nil, fmt.Errorf("failed to create request: %w", err)
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}
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req.Header.Set("Content-Type", "application/json")
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if auth := BearerAuth(apiConfig); auth != "" {
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req.Header.Set("Authorization", auth)
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}
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resp, err := m.baseModel.httpClient.Do(req)
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if err != nil {
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return nil, fmt.Errorf("failed to send request: %w", err)
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}
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defer resp.Body.Close()
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body, err := io.ReadAll(resp.Body)
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if err != nil {
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return nil, fmt.Errorf("failed to read response body: %w", err)
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}
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if resp.StatusCode != http.StatusOK {
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return nil, fmt.Errorf("%s TTS API error: %s, body: %s", m.Name(), resp.Status, string(body))
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}
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return &TTSResponse{Audio: body}, nil
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}
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// AudioSpeechWithSender streams text-to-speech audio chunks. This stub is
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// intentionally not implemented; the non-streaming AudioSpeech suffices for
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// connection verification and the streaming path is not currently required
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// for OpenAI-API-Compatible providers.
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func (m *OpenAIAPICompatibleModel) AudioSpeechWithSender(ctx context.Context, modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, modelUsage *common.ModelUsage, sender func(*string, *string) error) error {
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return fmt.Errorf("%s audio speech streaming not implemented", m.Name())
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}
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// TranscribeAudio sends an audio file for speech-to-text transcription via
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// the OpenAI-compatible POST /v1/audio/transcriptions endpoint (multipart).
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func (m *OpenAIAPICompatibleModel) TranscribeAudio(ctx context.Context, modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, modelUsage *common.ModelUsage) (*ASRResponse, error) {
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if err := m.baseModel.APIConfigCheck(apiConfig); err != nil {
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return nil, err
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}
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if modelName == nil || *modelName == "" {
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return nil, fmt.Errorf("model name is required")
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}
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if file == nil || *file == "" {
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return nil, fmt.Errorf("file is missing")
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}
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if strings.TrimSpace(m.baseModel.URLSuffix.ASR) == "" {
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return nil, fmt.Errorf("%s ASR URL suffix is not configured", m.Name())
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}
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reqCtx, cancel := context.WithTimeout(ctx, nonStreamCallTimeout)
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defer cancel()
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resolvedBaseURL, err := m.baseModel.GetBaseURL(apiConfig)
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if err != nil {
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return nil, err
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}
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url := fmt.Sprintf("%s/%s", strings.TrimSuffix(resolvedBaseURL, "/"), strings.TrimPrefix(m.baseModel.URLSuffix.ASR, "/"))
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var body bytes.Buffer
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writer := multipart.NewWriter(&body)
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audioFile, err := os.Open(*file)
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if err != nil {
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return nil, fmt.Errorf("failed to open audio file: %w", err)
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}
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defer audioFile.Close()
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part, err := writer.CreateFormFile("file", filepath.Base(*file))
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if err != nil {
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return nil, fmt.Errorf("failed to create multipart file: %w", err)
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}
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if _, err = io.Copy(part, audioFile); err != nil {
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return nil, fmt.Errorf("failed to copy audio data: %w", err)
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}
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if err = writer.WriteField("model", *modelName); err != nil {
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return nil, fmt.Errorf("failed to write model field: %w", err)
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}
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if asrConfig != nil && asrConfig.Params != nil {
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for key, value := range asrConfig.Params {
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strVal := fmt.Sprintf("%v", value)
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if err = writer.WriteField(key, strVal); err != nil {
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return nil, fmt.Errorf("failed to write field %s: %w", key, err)
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}
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}
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}
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if err = writer.Close(); err != nil {
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return nil, fmt.Errorf("failed to close multipart writer: %w", err)
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}
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req, err := http.NewRequestWithContext(reqCtx, "POST", url, &body)
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if err != nil {
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return nil, fmt.Errorf("failed to create request: %w", err)
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}
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req.Header.Set("Content-Type", writer.FormDataContentType())
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if auth := BearerAuth(apiConfig); auth != "" {
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req.Header.Set("Authorization", auth)
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}
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resp, err := m.baseModel.httpClient.Do(req)
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if err != nil {
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return nil, fmt.Errorf("failed to send request: %w", err)
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}
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defer resp.Body.Close()
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respBody, err := io.ReadAll(resp.Body)
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if err != nil {
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return nil, fmt.Errorf("failed to read response body: %w", err)
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}
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if resp.StatusCode != http.StatusOK {
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return nil, fmt.Errorf("%s ASR API error: %s, body: %s", m.Name(), resp.Status, string(respBody))
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}
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var result struct {
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Text string `json:"text"`
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}
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if err := json.Unmarshal(respBody, &result); err != nil {
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return nil, fmt.Errorf("failed to unmarshal response: %w, body=%s", err, string(respBody))
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}
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return &ASRResponse{Text: result.Text}, nil
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}
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// TranscribeAudioWithSender streams ASR transcription. This stub is
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// intentionally not implemented; the non-streaming TranscribeAudio suffices
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// for connection verification.
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func (m *OpenAIAPICompatibleModel) TranscribeAudioWithSender(ctx context.Context, modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, modelUsage *common.ModelUsage, sender func(*string, *string) error) error {
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return fmt.Errorf("%s ASR streaming not implemented", m.Name())
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}
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