// // 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" "fmt" "io" "net/http" "ragflow/internal/common" "strings" "github.com/goccy/go-json" ) type QiniuModel struct { baseModel BaseModel } func NewQiniuModel(baseURL map[string]string, urlSuffix URLSuffix) *QiniuModel { return &QiniuModel{ baseModel: BaseModel{ BaseURL: baseURL, URLSuffix: urlSuffix, httpClient: NewDriverHTTPClient(false), }, } } func (q *QiniuModel) NewInstance(baseURL map[string]string) ModelDriver { return NewQiniuModel(baseURL, q.baseModel.URLSuffix) } func (q *QiniuModel) Name() string { return "qiniu" } var qiniuQwenThinkingModels = map[string]struct{}{ "qwen3-next-80b-a3b-thinking": {}, "qwen3-235b-a22b-thinking-2507": {}, "qwen3-max-2026-01-23": {}, "qwen-turbo": {}, "qwen3-32b": {}, "qwen3-30b-a3b": {}, "qwen3-30b-a3b-thinking-2507": {}, "qwen3.5-397b-a17b": {}, "qwen/qwen3.6-plus": {}, "qwen/qwen3.7-max": {}, "qwen/qwen3.6-27b": {}, "qwen3.5-35b-a3b": {}, "qwen3-vl-30b-a3b-thinking": {}, } var qiniuThinkingModels = map[string]struct{}{ "deepseek/deepseek-v4-flash": {}, "deepseek/deepseek-v4-pro": {}, "moonshotai/kimi-k2.6": {}, "z-ai/glm-5.1": {}, "z-ai/glm-5": {}, "minimax/minimax-m2.7": {}, "minimax/minimax-m2.5": {}, "minimax/minimax-m2.5-highspeed": {}, "kimi-k2-thinking": {}, "z-ai/glm-4.6": {}, "deepseek/deepseek-v3.2-251201": {}, "deepseek/deepseek-v3.2-exp-thinking": {}, "deepseek/deepseek-v3.1-terminus-thinking": {}, "deepseek-r1-0528": {}, "deepseek-r1": {}, "doubao-seed-1.6-flash": {}, "doubao-seed-1.6": {}, "doubao-seed-2.0-pro": {}, "doubao-seed-2.0-lite": {}, "doubao-seed-2.0-mini": {}, "doubao-seed-2.0-code": {}, "minimax-m1": {}, "glm-4.5": {}, "glm-4.5-air": {}, "tencent/hy3-preview": {}, } func applyQiniuThinkingConfig(reqBody map[string]interface{}, modelName string, chatModelConfig *ChatConfig) { if chatModelConfig == nil || chatModelConfig.Thinking == nil { return } lowerModelName := strings.ToLower(modelName) if _, ok := qiniuQwenThinkingModels[lowerModelName]; ok { enableThinking := *chatModelConfig.Thinking if chatModelConfig.Effort != nil && strings.ToLower(*chatModelConfig.Effort) == "none" { enableThinking = false } reqBody["enable_thinking"] = enableThinking return } if _, ok := qiniuThinkingModels[lowerModelName]; !ok { return } thinkingType := "disabled" if *chatModelConfig.Thinking { thinkingType = "enabled" effort := "high" if chatModelConfig.Effort != nil && *chatModelConfig.Effort != "" { effort = strings.ToLower(*chatModelConfig.Effort) } switch effort { case "none": thinkingType = "disabled" case "default": reqBody["reasoning_effort"] = "high" case "low", "medium", "high": reqBody["reasoning_effort"] = effort case "max": reqBody["reasoning_effort"] = "high" default: reqBody["reasoning_effort"] = effort } } reqBody["thinking"] = map[string]interface{}{ "type": thinkingType, } } func (q *QiniuModel) ChatWithMessages(ctx context.Context, modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig, modelUsage *common.ModelUsage) (*ChatResponse, error) { if err := q.baseModel.APIConfigCheck(apiConfig); err != nil { return nil, err } if len(messages) == 0 { return nil, fmt.Errorf("no messages") } resolvedBaseURL, err := q.baseModel.GetBaseURL(apiConfig) if err != nil { return nil, err } url := fmt.Sprintf("%s/%s", resolvedBaseURL, q.baseModel.URLSuffix.Chat) reqBody := buildRequestBody(chatModelConfig, modelName, messages, false) if chatModelConfig != nil { applyQiniuThinkingConfig(reqBody, modelName, chatModelConfig) } body, err := q.baseModel.doRequest(ctx, url, apiConfig, reqBody, nonStreamCallTimeout) if err != nil { return nil, err } return HandleNonStreamingResponse(body, modelUsage, chatModelConfig, OpenAIParserConfig) } func (q *QiniuModel) ChatStreamlyWithSender(ctx context.Context, modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig, modelUsage *common.ModelUsage, sender func(*string, *string) error) error { if err := q.baseModel.APIConfigCheck(apiConfig); err != nil { return err } if len(messages) == 0 { return fmt.Errorf("messages is empty") } resolvedBaseURL, err := q.baseModel.GetBaseURL(apiConfig) if err != nil { return err } baseURL := strings.TrimSuffix(resolvedBaseURL, "/") url := fmt.Sprintf("%s/%s", baseURL, q.baseModel.URLSuffix.Chat) reqBody := buildRequestBody(chatModelConfig, modelName, messages, true) reqBody["stream_options"] = map[string]interface{}{"include_usage": true} if chatModelConfig != nil { applyQiniuThinkingConfig(reqBody, modelName, chatModelConfig) chatModelConfig.ToolCallsResult = nil } return q.baseModel.doStreamRequest(ctx, url, apiConfig, reqBody, streamCallTimeout, func(body io.ReadCloser) error { return HandleStreamingResponse(body, modelUsage, chatModelConfig, OpenAIParserConfig, sender) }) } func (q *QiniuModel) 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", q.Name()) } func (q *QiniuModel) 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", q.Name()) } func (q *QiniuModel) 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", q.Name()) } func (q *QiniuModel) 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", q.Name()) } func (q *QiniuModel) 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", q.Name()) } func (q *QiniuModel) 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", q.Name()) } func (q *QiniuModel) 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", q.Name()) } func (q *QiniuModel) 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", q.Name()) } func (q *QiniuModel) ListModels(ctx context.Context, apiConfig *APIConfig) ([]ListModelResponse, error) { if err := q.baseModel.APIConfigCheck(apiConfig); err != nil { return nil, err } resolvedBaseURL, err := q.baseModel.GetBaseURL(apiConfig) if err != nil { return nil, err } baseURL := strings.TrimSuffix(resolvedBaseURL, "/") url := fmt.Sprintf("%s/%s", baseURL, q.baseModel.URLSuffix.Models) ctx, cancel := context.WithTimeout(ctx, nonStreamCallTimeout) defer cancel() req, err := http.NewRequestWithContext(ctx, "GET", url, nil) if err != nil { return nil, fmt.Errorf("failed to create request: %w", err) } req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey)) resp, err := q.baseModel.httpClient.Do(req) if err != nil { return nil, fmt.Errorf("failed to send request: %w", err) } defer resp.Body.Close() body, err := io.ReadAll(resp.Body) if err != nil { return nil, fmt.Errorf("failed to read response: %w", err) } if resp.StatusCode != http.StatusOK { return nil, fmt.Errorf("API request failed with status %d: %s", resp.StatusCode, string(body)) } // 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 (q *QiniuModel) Balance(ctx context.Context, apiConfig *APIConfig) (map[string]interface{}, error) { return nil, fmt.Errorf("%s, no such method", q.Name()) } func (q *QiniuModel) CheckConnection(ctx context.Context, apiConfig *APIConfig) error { _, err := q.ListModels(ctx, apiConfig) if err != nil { return err } return nil } func (q *QiniuModel) ListTasks(ctx context.Context, apiConfig *APIConfig) ([]ListTaskStatus, error) { return nil, fmt.Errorf("%s, no such method", q.Name()) } func (q *QiniuModel) ShowTask(ctx context.Context, taskID string, apiConfig *APIConfig) (*TaskResponse, error) { return nil, fmt.Errorf("%s, no such method", q.Name()) }