// // 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 ( "bytes" "context" "encoding/json" "fmt" "io" "net/http" "strings" "sync" "time" ) // localAIStreamIdleTimeout bounds how long ChatStreamlyWithSender var localAIStreamIdleTimeout = 60 * time.Second // LocalAIModel implements ModelDriver for LocalAI type LocalAIModel struct { baseModel BaseModel } // NewLocalAIModel creates a new LocalAI model instance func NewLocalAIModel(baseURL map[string]string, urlSuffix URLSuffix) *LocalAIModel { return &LocalAIModel{ baseModel: BaseModel{ BaseURL: baseURL, URLSuffix: urlSuffix, AllowEmptyAPIKey: true, httpClient: NewDriverHTTPClient(), }, } } func (l *LocalAIModel) NewInstance(baseURL map[string]string) ModelDriver { return NewLocalAIModel(baseURL, l.baseModel.URLSuffix) } func (l *LocalAIModel) Name() string { return "localai" } var localAIReasoningFields = []string{"reasoning_content", "reasoning", "thinking"} func extractLocalAIReasoning(m map[string]interface{}) string { for _, k := range localAIReasoningFields { if v, ok := m[k].(string); ok && v != "" { return v } } return "" } func addLocalAIReasoningRequestParams(reqBody map[string]interface{}, cfg *ChatConfig) { if cfg == nil { return } if cfg.Effort != nil && *cfg.Effort != "" { reqBody["reasoning_effort"] = *cfg.Effort } if cfg.Thinking != nil { reqBody["enable_thinking"] = *cfg.Thinking } } // ChatWithMessages sends multiple messages with roles and returns the response. func (l *LocalAIModel) ChatWithMessages(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig) (*ChatResponse, error) { if err := l.baseModel.APIConfigCheck(apiConfig); err != nil { return nil, err } if len(messages) == 0 { return nil, fmt.Errorf("messages is empty") } baseURL, err := l.baseModel.GetBaseURL(apiConfig) if err != nil { return nil, err } url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), l.baseModel.URLSuffix.Chat) apiMessages := make([]map[string]interface{}, len(messages)) for i, msg := range messages { apiMessages[i] = map[string]interface{}{ "role": msg.Role, "content": msg.Content, } } reqBody := map[string]interface{}{ "model": modelName, "messages": apiMessages, "stream": false, } if chatModelConfig != nil { if chatModelConfig.MaxTokens != nil { reqBody["max_tokens"] = *chatModelConfig.MaxTokens } if chatModelConfig.Temperature != nil { reqBody["temperature"] = *chatModelConfig.Temperature } if chatModelConfig.TopP != nil { reqBody["top_p"] = *chatModelConfig.TopP } if chatModelConfig.Stop != nil { reqBody["stop"] = *chatModelConfig.Stop } addLocalAIReasoningRequestParams(reqBody, chatModelConfig) } jsonData, err := json.Marshal(reqBody) if err != nil { return nil, fmt.Errorf("failed to marshal request: %w", err) } ctx, cancel := context.WithTimeout(context.Background(), nonStreamCallTimeout) defer cancel() req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData)) if err != nil { return nil, fmt.Errorf("failed to create request: %w", err) } req.Header.Set("Content-Type", "application/json") if auth := BearerAuth(apiConfig); auth != "" { req.Header.Set("Authorization", auth) } resp, err := l.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)) } var result map[string]interface{} if err = json.Unmarshal(body, &result); err != nil { return nil, fmt.Errorf("failed to parse response: %w", err) } choices, ok := result["choices"].([]interface{}) if !ok || len(choices) == 0 { return nil, fmt.Errorf("no choices in response") } firstChoice, ok := choices[0].(map[string]interface{}) if !ok { return nil, fmt.Errorf("invalid choice format") } messageMap, ok := firstChoice["message"].(map[string]interface{}) if !ok { return nil, fmt.Errorf("invalid message format") } content, ok := messageMap["content"].(string) if !ok { return nil, fmt.Errorf("invalid content format") } // Pull the chain-of-thought from whichever field the upstream model // used. See localAIReasoningFields for the priority order. reasonContent := extractLocalAIReasoning(messageMap) return &ChatResponse{ Answer: &content, ReasonContent: &reasonContent, }, nil } // ChatStreamlyWithSender sends messages and streams the response via the // sender function. The LocalAI SSE stream uses the same shape as OpenAI: // "data:" lines carrying JSON events, with a final "[DONE]" line. func (l *LocalAIModel) ChatStreamlyWithSender(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig, sender func(*string, *string) error) error { if err := l.baseModel.APIConfigCheck(apiConfig); err != nil { return err } if sender == nil { return fmt.Errorf("sender is required") } if len(messages) == 0 { return fmt.Errorf("messages is empty") } baseURL, err := l.baseModel.GetBaseURL(apiConfig) if err != nil { return err } url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), l.baseModel.URLSuffix.Chat) apiMessages := make([]map[string]interface{}, len(messages)) for i, msg := range messages { apiMessages[i] = map[string]interface{}{ "role": msg.Role, "content": msg.Content, } } reqBody := map[string]interface{}{ "model": modelName, "messages": apiMessages, "stream": true, } if chatModelConfig != nil { if chatModelConfig.Stream != nil && !*chatModelConfig.Stream { return fmt.Errorf("stream must be true in ChatStreamlyWithSender") } if chatModelConfig.MaxTokens != nil { reqBody["max_tokens"] = *chatModelConfig.MaxTokens } if chatModelConfig.Temperature != nil { reqBody["temperature"] = *chatModelConfig.Temperature } if chatModelConfig.TopP != nil { reqBody["top_p"] = *chatModelConfig.TopP } if chatModelConfig.Stop != nil { reqBody["stop"] = *chatModelConfig.Stop } addLocalAIReasoningRequestParams(reqBody, chatModelConfig) } jsonData, err := json.Marshal(reqBody) if err != nil { return fmt.Errorf("failed to marshal request: %w", err) } ctx, cancel := context.WithCancel(context.Background()) defer cancel() req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData)) if err != nil { return fmt.Errorf("failed to create request: %w", err) } req.Header.Set("Content-Type", "application/json") if auth := BearerAuth(apiConfig); auth != "" { req.Header.Set("Authorization", auth) } resp, err := l.baseModel.httpClient.Do(req) if err != nil { return fmt.Errorf("failed to send request: %w", err) } defer resp.Body.Close() if resp.StatusCode != http.StatusOK { body, _ := io.ReadAll(resp.Body) return fmt.Errorf("API request failed with status %d: %s", resp.StatusCode, string(body)) } lastActive := time.Now() var lastActiveMu sync.Mutex done := make(chan struct{}) defer close(done) go func() { ticker := time.NewTicker(localAIStreamIdleTimeout / 4) defer ticker.Stop() for { select { case <-done: return case now := <-ticker.C: lastActiveMu.Lock() idle := now.Sub(lastActive) lastActiveMu.Unlock() if idle >= localAIStreamIdleTimeout { cancel() return } } } }() sawTerminal := false streamDone, err := ParseSSEStream[map[string]interface{}](resp.Body, func(event map[string]interface{}) error { lastActiveMu.Lock() lastActive = time.Now() lastActiveMu.Unlock() choices, ok := event["choices"].([]interface{}) if !ok || len(choices) == 0 { return nil } firstChoice, ok := choices[0].(map[string]interface{}) if !ok { return nil } delta, ok := firstChoice["delta"].(map[string]interface{}) if !ok { return nil } if reasoning := extractLocalAIReasoning(delta); reasoning != "" { if err := sender(nil, &reasoning); err != nil { return err } } content, ok := delta["content"].(string) if ok && content != "" { if err := sender(&content, nil); err != nil { return err } } finishReason, ok := firstChoice["finish_reason"].(string) if ok && finishReason != "" { sawTerminal = true } return nil }) if err != nil { if ctx.Err() != nil { return fmt.Errorf("localai: stream idle for more than %s, aborted", localAIStreamIdleTimeout) } return fmt.Errorf("failed to scan response body: %w", err) } if !streamDone && !sawTerminal { return fmt.Errorf("localai: stream ended before [DONE] or finish_reason") } endOfStream := "[DONE]" if err := sender(&endOfStream, nil); err != nil { return err } return nil } type localAIEmbeddingData struct { Embedding []float64 `json:"embedding"` Object string `json:"object"` Index int `json:"index"` } type localAIEmbeddingResponse struct { Data []localAIEmbeddingData `json:"data"` Model string `json:"model"` Object string `json:"object"` } func (l *LocalAIModel) Embed(modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig) ([]EmbeddingData, error) { if err := l.baseModel.APIConfigCheck(apiConfig); err != nil { return nil, err } if len(texts) == 0 { return []EmbeddingData{}, nil } if modelName == nil || *modelName == "" { return nil, fmt.Errorf("model name is required") } baseURL, err := l.baseModel.GetBaseURL(apiConfig) if err != nil { return nil, err } url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), l.baseModel.URLSuffix.Embedding) reqBody := map[string]interface{}{ "model": *modelName, "input": texts, } if embeddingConfig != nil && embeddingConfig.Dimension > 0 { reqBody["dimensions"] = embeddingConfig.Dimension } jsonData, err := json.Marshal(reqBody) if err != nil { return nil, fmt.Errorf("failed to marshal request: %w", err) } ctx, cancel := context.WithTimeout(context.Background(), nonStreamCallTimeout) defer cancel() req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData)) if err != nil { return nil, fmt.Errorf("failed to create request: %w", err) } req.Header.Set("Content-Type", "application/json") if auth := BearerAuth(apiConfig); auth != "" { req.Header.Set("Authorization", auth) } resp, err := l.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("LocalAI embeddings API error: %s, body: %s", resp.Status, string(body)) } var parsed localAIEmbeddingResponse if err = json.Unmarshal(body, &parsed); err != nil { return nil, fmt.Errorf("failed to parse response: %w", err) } embeddings := make([]EmbeddingData, len(texts)) filled := make([]bool, len(texts)) for _, item := range parsed.Data { if item.Index < 0 || item.Index >= len(texts) { return nil, fmt.Errorf("localai: response index %d out of range for %d inputs", item.Index, len(texts)) } if filled[item.Index] { return nil, fmt.Errorf("localai: duplicate embedding index %d in response", item.Index) } embeddings[item.Index] = EmbeddingData{ Embedding: item.Embedding, Index: item.Index, } filled[item.Index] = true } for i, ok := range filled { if !ok { return nil, fmt.Errorf("localai: missing embedding for input index %d", i) } } return embeddings, nil } type localAIRerankRequest struct { Model string `json:"model"` Query string `json:"query"` Documents []string `json:"documents"` TopN int `json:"top_n"` } type localAIRerankResponse struct { Results []struct { Index int `json:"index"` RelevanceScore float64 `json:"relevance_score"` } `json:"results"` } func (l *LocalAIModel) Rerank(modelName *string, query string, documents []string, apiConfig *APIConfig, rerankConfig *RerankConfig) (*RerankResponse, error) { if err := l.baseModel.APIConfigCheck(apiConfig); err != nil { return nil, err } if len(documents) == 0 { return &RerankResponse{}, nil } if modelName == nil || *modelName == "" { return nil, fmt.Errorf("model name is required") } baseURL, err := l.baseModel.GetBaseURL(apiConfig) if err != nil { return nil, err } url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), l.baseModel.URLSuffix.Rerank) topN := len(documents) if rerankConfig != nil && rerankConfig.TopN > 0 { topN = rerankConfig.TopN } reqBody := localAIRerankRequest{ Model: *modelName, Query: query, Documents: documents, TopN: topN, } jsonData, err := json.Marshal(reqBody) if err != nil { return nil, fmt.Errorf("failed to marshal request: %w", err) } ctx, cancel := context.WithTimeout(context.Background(), nonStreamCallTimeout) defer cancel() req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData)) if err != nil { return nil, fmt.Errorf("failed to create request: %w", err) } req.Header.Set("Content-Type", "application/json") if auth := BearerAuth(apiConfig); auth != "" { req.Header.Set("Authorization", auth) } resp, err := l.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("LocalAI rerank API error: %s, body: %s", resp.Status, string(body)) } var parsed localAIRerankResponse if err = json.Unmarshal(body, &parsed); err != nil { return nil, fmt.Errorf("failed to parse response: %w", err) } rerankResponse := &RerankResponse{} for _, r := range parsed.Results { if r.Index < 0 || r.Index >= len(documents) { return nil, fmt.Errorf("localai: rerank result index %d out of range for %d documents", r.Index, len(documents)) } rerankResponse.Data = append(rerankResponse.Data, RerankResult{ Index: r.Index, RelevanceScore: r.RelevanceScore, }) } return rerankResponse, nil } func (l *LocalAIModel) ListModels(apiConfig *APIConfig) ([]ListModelResponse, error) { if err := l.baseModel.APIConfigCheck(apiConfig); err != nil { return nil, err } baseURL, err := l.baseModel.GetBaseURL(apiConfig) if err != nil { return nil, err } url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), l.baseModel.URLSuffix.Models) ctx, cancel := context.WithTimeout(context.Background(), 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("Content-Type", "application/json") if auth := BearerAuth(apiConfig); auth != "" { req.Header.Set("Authorization", auth) } resp, err := l.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 (l *LocalAIModel) Balance(apiConfig *APIConfig) (map[string]interface{}, error) { return nil, fmt.Errorf("no such method") } func (l *LocalAIModel) CheckConnection(apiConfig *APIConfig) error { _, err := l.ListModels(apiConfig) if err != nil { return err } return nil } func (l *LocalAIModel) TranscribeAudio(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig) (*ASRResponse, error) { return nil, fmt.Errorf("%s, no such method", l.Name()) } func (l *LocalAIModel) TranscribeAudioWithSender(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, sender func(*string, *string) error) error { return fmt.Errorf("%s, no such method", l.Name()) } // AudioSpeech convert text to audio func (l *LocalAIModel) AudioSpeech(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig) (*TTSResponse, error) { return nil, fmt.Errorf("%s, no such method", l.Name()) } func (l *LocalAIModel) AudioSpeechWithSender(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, sender func(*string, *string) error) error { return fmt.Errorf("%s, no such method", l.Name()) } func (l *LocalAIModel) OCRFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, ocrConfig *OCRConfig) (*OCRFileResponse, error) { return nil, fmt.Errorf("%s, no such method", l.Name()) } // ParseFile parse file func (l *LocalAIModel) ParseFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, parseFileConfig *ParseFileConfig) (*ParseFileResponse, error) { return nil, fmt.Errorf("%s, no such method", l.Name()) } func (l *LocalAIModel) ListTasks(apiConfig *APIConfig) ([]ListTaskStatus, error) { return nil, fmt.Errorf("%s, no such method", l.Name()) } func (l *LocalAIModel) ShowTask(taskID string, apiConfig *APIConfig) (*TaskResponse, error) { return nil, fmt.Errorf("%s, no such method", l.Name()) }