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## Summary GreenPT is a European AI provider with an OpenAI-compatible API, optimized infrastructure, and datacenters powered by 100% renewable energy. This adds native GreenPT support across RAGFlow’s Go-first provider system and its Python compatibility layer: - discovers the current catalog from `GET /v1/models` - features `glm-5.2` and `kimi-k2.7-code` for chat and coding - supports `green-embedding` through `/v1/embeddings` - supports `green-rerank` through `/v1/rerank` - supports `green-s` and `green-s-pro` speech-to-text through `/v1/listen` - adds provider configuration, UI icon, and supported-provider documentation
146 lines
4.4 KiB
Go
146 lines
4.4 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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"context"
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"encoding/json"
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"fmt"
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"io"
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"mime"
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"net/http"
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"net/url"
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"os"
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"path/filepath"
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"ragflow/internal/common"
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"strings"
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)
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// GreenPTModel implements GreenPT's OpenAI-compatible chat, embedding,
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// reranking, and model-list APIs, plus its Deepgram-compatible STT endpoint.
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type GreenPTModel struct {
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*OpenAIAPICompatibleModel
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}
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// NewGreenPTModel creates a GreenPT model driver.
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func NewGreenPTModel(baseURL map[string]string, urlSuffix URLSuffix) *GreenPTModel {
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return &GreenPTModel{
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OpenAIAPICompatibleModel: NewOpenAIAPICompatibleModel(baseURL, urlSuffix),
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}
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}
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func (m *GreenPTModel) Name() string {
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return "GreenPT"
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}
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func (m *GreenPTModel) NewInstance(baseURL map[string]string) ModelDriver {
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return NewGreenPTModel(baseURL, m.baseModel.URLSuffix)
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}
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// ListModels uses GreenPT's live /v1/models endpoint and corrects the two
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// speech model IDs, whose names do not contain an ASR hint.
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func (m *GreenPTModel) ListModels(ctx context.Context, apiConfig *APIConfig) ([]ListModelResponse, error) {
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models, err := m.OpenAIAPICompatibleModel.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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for i := range models {
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switch models[i].Name {
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case "green-s", "green-s-pro":
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models[i].ModelTypes = []string{"asr"}
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}
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}
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return models, nil
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}
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// TranscribeAudio calls GreenPT's Deepgram-compatible /v1/listen endpoint.
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func (m *GreenPTModel) 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 || strings.TrimSpace(*modelName) == "" {
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return nil, fmt.Errorf("model name is required")
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}
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if file == nil || strings.TrimSpace(*file) == "" {
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return nil, fmt.Errorf("file is missing")
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}
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ctx, cancel := context.WithTimeout(ctx, nonStreamCallTimeout)
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defer cancel()
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audio, 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 audio.Close()
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baseURL, 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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endpoint := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), strings.TrimPrefix(m.baseModel.URLSuffix.ASR, "/"))
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query := url.Values{"model": {*modelName}}
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if asrConfig != nil {
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for key, value := range asrConfig.Params {
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query.Set(key, fmt.Sprintf("%v", value))
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}
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}
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endpoint += "?" + query.Encode()
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req, err := http.NewRequestWithContext(ctx, http.MethodPost, endpoint, audio)
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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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contentType := mime.TypeByExtension(strings.ToLower(filepath.Ext(*file)))
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if contentType == "" {
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contentType = "application/octet-stream"
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}
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req.Header.Set("Content-Type", contentType)
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req.Header.Set("Authorization", "Token "+*apiConfig.ApiKey)
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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: %w", err)
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}
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if resp.StatusCode != http.StatusOK {
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return nil, fmt.Errorf("GreenPT ASR API error: %s, body: %s", resp.Status, string(body))
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}
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var result struct {
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Results struct {
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Channels []struct {
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Alternatives []struct {
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Transcript string `json:"transcript"`
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} `json:"alternatives"`
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} `json:"channels"`
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} `json:"results"`
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}
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if err := json.Unmarshal(body, &result); err != nil {
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return nil, fmt.Errorf("failed to parse GreenPT ASR response: %w", err)
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}
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if len(result.Results.Channels) == 0 || len(result.Results.Channels[0].Alternatives) == 0 {
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return nil, fmt.Errorf("GreenPT ASR response contains no transcript")
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}
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return &ASRResponse{Text: result.Results.Channels[0].Alternatives[0].Transcript}, nil
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}
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