mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-07-12 14:45:42 +08:00
### What problem does this PR solve? IDK how to implement **`Ollama`** on #14580 but it's totally wrong. This is the rewrite version for **`Ollama`** **Verified from CLI** ``` # Embed RAGFlow(user)> embed text 'what is rag' 'who are you' with 'nomic-embed-text:latest@test12@ollama' dimension 1024; +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ # Chat RAGFlow(user)> think chat with 'qwen3:0.6b@test12@ollama' message 'who r u' Thinking: Okay, the user asked, "Who r u?" I need to respond appropriately. First, I should acknowledge their question. Since I'm an AI, I don't have a physical form, but I can confirm that I'm a large language model. I should keep the response friendly and offer help. Let me make sure I'm not making up any information and that the response is natural. Also, I should check for any typos and ensure clarity. Alright, that should cover it. Answer: I'm an AI language model, and I don't have a physical form. However, I can tell you that I'm designed to assist with questions and tasks. How can I help you today? Time: 2.914285 RAGFlow(user)> stream think chat with 'qwen3:0.6b@test12@ollama' message 'who r u' Thinking: , the user asked, "Who are you?" I need to respond appropriately. Since I'm an AI assistant, I should mention that I don't have a physical form or a mind. I should also clarify that I can help with various tasks like answering questions or providing information. It's important to keep the response friendly and informative while maintaining the correct tone. Answer: don't have a physical form or a mind, but I'm here to help with your questions or tasks! What can I do for you today? Time: 1.740047 # LisyModels RAGFlow(user)> list supported models from 'ollama' 'test12' +-------------------------+ | model_name | +-------------------------+ | nomic-embed-text:latest | | qwen3:0.6b | +-------------------------+ ``` ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) - [x] Refactoring
531 lines
14 KiB
Go
531 lines
14 KiB
Go
package models
|
|
|
|
import (
|
|
"bufio"
|
|
"bytes"
|
|
"context"
|
|
"encoding/json"
|
|
"fmt"
|
|
"io"
|
|
"net/http"
|
|
"strings"
|
|
"time"
|
|
)
|
|
|
|
// OllamaModel implements ModelDriver for Ollama AI
|
|
type OllamaModel struct {
|
|
BaseURL map[string]string
|
|
URLSuffix URLSuffix
|
|
httpClient *http.Client
|
|
}
|
|
|
|
// NewOllamaModel creates a new Ollama AI model instance
|
|
func NewOllamaModel(baseURL map[string]string, urlSuffix URLSuffix) *OllamaModel {
|
|
return &OllamaModel{
|
|
BaseURL: baseURL,
|
|
URLSuffix: urlSuffix,
|
|
httpClient: &http.Client{
|
|
Timeout: 120 * time.Second,
|
|
Transport: &http.Transport{
|
|
MaxIdleConns: 100,
|
|
MaxIdleConnsPerHost: 10,
|
|
IdleConnTimeout: 90 * time.Second,
|
|
DisableCompression: false,
|
|
},
|
|
},
|
|
}
|
|
}
|
|
|
|
func (o *OllamaModel) NewInstance(baseURL map[string]string) ModelDriver {
|
|
return &OllamaModel{
|
|
BaseURL: baseURL,
|
|
URLSuffix: o.URLSuffix,
|
|
httpClient: &http.Client{
|
|
Timeout: 120 * time.Second,
|
|
Transport: &http.Transport{
|
|
MaxIdleConns: 100,
|
|
MaxIdleConnsPerHost: 10,
|
|
IdleConnTimeout: 90 * time.Second,
|
|
DisableCompression: false,
|
|
},
|
|
},
|
|
}
|
|
}
|
|
|
|
func (o *OllamaModel) Name() string {
|
|
return "ollama"
|
|
}
|
|
|
|
func (o *OllamaModel) ChatWithMessages(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig) (*ChatResponse, error) {
|
|
if len(messages) == 0 {
|
|
return nil, fmt.Errorf("message is nil")
|
|
}
|
|
|
|
var region = "default"
|
|
if apiConfig.Region != nil {
|
|
region = *apiConfig.Region
|
|
}
|
|
|
|
url := fmt.Sprintf("%s/%s", o.BaseURL[region], o.URLSuffix.Chat)
|
|
|
|
// For qwen/glm models, use async chat endpoint
|
|
modelType := strings.Split(modelName, "_")[0]
|
|
if modelType == "qwen" || modelType == "glm" {
|
|
url = fmt.Sprintf("%s/%s", o.BaseURL[region], o.URLSuffix.AsyncChat)
|
|
}
|
|
|
|
// Convert messages to API format
|
|
apiMessages := make([]map[string]interface{}, len(messages))
|
|
for i, msg := range messages {
|
|
arr, _ := msg.Content.([]interface{})
|
|
|
|
first, _ := arr[0].(map[string]interface{})
|
|
|
|
text, _ := first["text"].(string)
|
|
|
|
apiMessages[i] = map[string]interface{}{
|
|
"role": msg.Role,
|
|
"content": text,
|
|
}
|
|
}
|
|
|
|
// Build request body
|
|
reqBody := map[string]interface{}{
|
|
"model": modelName,
|
|
"messages": apiMessages,
|
|
"stream": false,
|
|
"temperature": 1,
|
|
}
|
|
|
|
if chatModelConfig != nil {
|
|
if chatModelConfig.Stream != nil {
|
|
reqBody["stream"] = *chatModelConfig.Stream
|
|
}
|
|
|
|
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
|
|
}
|
|
|
|
if chatModelConfig.Effort != nil && *chatModelConfig.Effort != "" {
|
|
if strings.HasPrefix(strings.ToLower(modelName), "gpt-oss") {
|
|
reqBody["think"] = *chatModelConfig.Effort
|
|
}
|
|
} else if chatModelConfig.Thinking != nil {
|
|
if *chatModelConfig.Thinking {
|
|
reqBody["think"] = true
|
|
}
|
|
}
|
|
}
|
|
|
|
jsonData, err := json.Marshal(reqBody)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("failed to marshal request: %w", err)
|
|
}
|
|
|
|
req, err := http.NewRequest(http.MethodPost, url, bytes.NewBuffer(jsonData))
|
|
if err != nil {
|
|
return nil, fmt.Errorf("failed to create request: %w", err)
|
|
}
|
|
|
|
req.Header.Set("Content-Type", "application/json")
|
|
|
|
resp, err := o.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 body: %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 result map[string]interface{}
|
|
if err = json.Unmarshal(body, &result); err != nil {
|
|
return nil, fmt.Errorf("failed to parse response: %w", err)
|
|
}
|
|
|
|
message, ok := result["message"].(map[string]interface{})
|
|
if !ok {
|
|
return nil, fmt.Errorf("failed to parse response: message not found")
|
|
}
|
|
|
|
content, ok := message["content"].(string)
|
|
if !ok {
|
|
return nil, fmt.Errorf("failed to parse response: content not found")
|
|
}
|
|
|
|
reasonContent, ok := message["thinking"].(string)
|
|
if !ok {
|
|
return nil, fmt.Errorf("failed to parse response: thinking not found")
|
|
}
|
|
|
|
chatResponse := &ChatResponse{
|
|
Answer: &content,
|
|
ReasonContent: &reasonContent,
|
|
}
|
|
|
|
return chatResponse, nil
|
|
}
|
|
|
|
func (o *OllamaModel) ChatStreamlyWithSender(modelName string, messages []Message, apiConfig *APIConfig, modelConfig *ChatConfig, sender func(*string, *string) error) error {
|
|
if len(messages) == 0 {
|
|
return fmt.Errorf("messages is empty")
|
|
}
|
|
|
|
var region = "default"
|
|
if apiConfig != nil && apiConfig.Region != nil && *apiConfig.Region != "" {
|
|
region = *apiConfig.Region
|
|
}
|
|
|
|
url := fmt.Sprintf("%s/%s", o.BaseURL[region], o.URLSuffix.Chat)
|
|
modelType := strings.Split(modelName, "-")[0]
|
|
if modelType == "qwen" || modelType == "glm" {
|
|
url = fmt.Sprintf("%s/%s", o.BaseURL[region], o.URLSuffix.AsyncChat)
|
|
}
|
|
|
|
// Convert messages to API format (supporting multimodal content)
|
|
apiMessages := make([]map[string]interface{}, len(messages))
|
|
for i, msg := range messages {
|
|
arr, _ := msg.Content.([]interface{})
|
|
|
|
first, _ := arr[0].(map[string]interface{})
|
|
|
|
text, _ := first["text"].(string)
|
|
|
|
apiMessages[i] = map[string]interface{}{
|
|
"role": msg.Role,
|
|
"content": text,
|
|
}
|
|
}
|
|
|
|
// Build request body with streaming enabled
|
|
reqBody := map[string]interface{}{
|
|
"model": modelName,
|
|
"messages": apiMessages,
|
|
"stream": true,
|
|
}
|
|
|
|
if modelConfig.Stream != nil {
|
|
reqBody["stream"] = *modelConfig.Stream
|
|
}
|
|
|
|
if modelConfig.MaxTokens != nil {
|
|
reqBody["max_tokens"] = *modelConfig.MaxTokens
|
|
}
|
|
|
|
if modelConfig.Temperature != nil {
|
|
reqBody["temperature"] = *modelConfig.Temperature
|
|
}
|
|
|
|
if modelConfig.DoSample != nil {
|
|
reqBody["do_sample"] = *modelConfig.DoSample
|
|
}
|
|
|
|
if modelConfig.TopP != nil {
|
|
reqBody["top_p"] = *modelConfig.TopP
|
|
}
|
|
|
|
if modelConfig.Stop != nil {
|
|
reqBody["stop"] = *modelConfig.Stop
|
|
}
|
|
|
|
if modelConfig.Effort != nil && *modelConfig.Effort != "" {
|
|
if strings.HasPrefix(strings.ToLower(modelName), "gpt-oss") {
|
|
reqBody["think"] = *modelConfig.Effort
|
|
}
|
|
} else if modelConfig.Thinking != nil {
|
|
if *modelConfig.Thinking {
|
|
reqBody["think"] = true
|
|
}
|
|
}
|
|
|
|
jsonData, err := json.Marshal(reqBody)
|
|
if err != nil {
|
|
return fmt.Errorf("failed to marshal request: %w", err)
|
|
}
|
|
|
|
req, err := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
|
|
if err != nil {
|
|
return fmt.Errorf("failed to create request: %w", err)
|
|
}
|
|
|
|
req.Header.Set("Content-Type", "application/json")
|
|
|
|
resp, err := o.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))
|
|
}
|
|
|
|
// SSE parsing: read line by line
|
|
scanner := bufio.NewScanner(resp.Body)
|
|
for scanner.Scan() {
|
|
line := strings.TrimSpace(scanner.Text())
|
|
|
|
// ignore the blank
|
|
if line == "" {
|
|
continue
|
|
}
|
|
|
|
// Parse the JSON event
|
|
var event map[string]interface{}
|
|
if err = json.Unmarshal([]byte(line), &event); err != nil {
|
|
continue
|
|
}
|
|
|
|
if messageMap, ok := event["message"].(map[string]interface{}); ok {
|
|
if reasoningContent, exists := messageMap["thinking"].(string); exists && reasoningContent != "" {
|
|
if err := sender(nil, &reasoningContent); err != nil {
|
|
return err
|
|
}
|
|
}
|
|
if content, exists := messageMap["content"].(string); exists && content != "" {
|
|
if err := sender(&content, nil); err != nil {
|
|
return err
|
|
}
|
|
}
|
|
}
|
|
|
|
if done, ok := event["done"].(bool); ok && done {
|
|
break
|
|
}
|
|
}
|
|
|
|
// Send [DONE] marker for OpenAI compatibility with RAGFlow frontend
|
|
endOfStream := "[DONE]"
|
|
if err := sender(&endOfStream, nil); err != nil {
|
|
return err
|
|
}
|
|
|
|
return scanner.Err()
|
|
}
|
|
|
|
func (o *OllamaModel) Embed(modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig) ([]EmbeddingData, error) {
|
|
if len(texts) == 0 {
|
|
return []EmbeddingData{}, nil
|
|
}
|
|
|
|
if modelName == nil || *modelName == "" {
|
|
return nil, fmt.Errorf("model name is required")
|
|
}
|
|
|
|
region := "default"
|
|
if apiConfig != nil && apiConfig.Region != nil && *apiConfig.Region != "" {
|
|
region = *apiConfig.Region
|
|
}
|
|
|
|
baseURL := o.BaseURL[region]
|
|
if baseURL == "" {
|
|
baseURL = o.BaseURL["default"]
|
|
}
|
|
if baseURL == "" {
|
|
return nil, fmt.Errorf("missing base URL: please configure the local access address for Ollama (e.g., http://127.0.0.1:11434/v1)")
|
|
}
|
|
|
|
url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), o.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(), 30*time.Second)
|
|
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 apiConfig != nil && apiConfig.ApiKey != nil && *apiConfig.ApiKey != "" {
|
|
req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
|
|
}
|
|
|
|
resp, err := o.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("Ollama embeddings API error: %s, body: %s", resp.Status, string(body))
|
|
}
|
|
|
|
var embedResp struct {
|
|
Model string `json:"model"`
|
|
Embeddings [][]float64 `json:"embeddings"`
|
|
}
|
|
|
|
if err = json.Unmarshal(body, &embedResp); err != nil {
|
|
return nil, fmt.Errorf("failed to unmarshal response: %w", err)
|
|
}
|
|
|
|
if len(embedResp.Embeddings) == 0 {
|
|
return nil, fmt.Errorf("no embeddings returned")
|
|
}
|
|
|
|
embeddings := make([]EmbeddingData, 0, len(embedResp.Embeddings))
|
|
|
|
for i, emb := range embedResp.Embeddings {
|
|
if len(emb) == 0 {
|
|
return nil, fmt.Errorf("empty embedding at index %d", i)
|
|
}
|
|
|
|
embeddings = append(embeddings, EmbeddingData{
|
|
Embedding: emb,
|
|
Index: i,
|
|
})
|
|
}
|
|
|
|
return embeddings, nil
|
|
}
|
|
|
|
func (o *OllamaModel) Rerank(modelName *string, query string, documents []string, apiConfig *APIConfig, rerankConfig *RerankConfig) (*RerankResponse, error) {
|
|
return nil, fmt.Errorf("no such method")
|
|
}
|
|
|
|
// TranscribeAudio transcribe audio
|
|
func (o *OllamaModel) TranscribeAudio(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig) (*ASRResponse, error) {
|
|
return nil, fmt.Errorf("%s, no such method", o.Name())
|
|
}
|
|
|
|
func (z *OllamaModel) TranscribeAudioWithSender(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, sender func(*string, *string) error) error {
|
|
return fmt.Errorf("%s, no such method", z.Name())
|
|
}
|
|
|
|
// AudioSpeech convert text to audio
|
|
func (o *OllamaModel) AudioSpeech(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig) (*TTSResponse, error) {
|
|
return nil, fmt.Errorf("%s, no such method", o.Name())
|
|
}
|
|
|
|
func (z *OllamaModel) AudioSpeechWithSender(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, sender func(*string, *string) error) error {
|
|
return fmt.Errorf("%s, no such method", z.Name())
|
|
}
|
|
|
|
// OCRFile OCR file
|
|
func (m *OllamaModel) OCRFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, ocrConfig *OCRConfig) (*OCRFileResponse, error) {
|
|
return nil, fmt.Errorf("%s, no such method", m.Name())
|
|
}
|
|
|
|
// ParseFile parse file
|
|
func (z *OllamaModel) ParseFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, parseFileConfig *ParseFileConfig) (*ParseFileResponse, error) {
|
|
return nil, fmt.Errorf("%s, no such method", z.Name())
|
|
}
|
|
|
|
func (o *OllamaModel) ListModels(apiConfig *APIConfig) ([]string, error) {
|
|
var region = "default"
|
|
|
|
if apiConfig != nil && apiConfig.Region != nil && *apiConfig.Region != "" {
|
|
region = *apiConfig.Region
|
|
}
|
|
|
|
baseURL := o.BaseURL[region]
|
|
if baseURL == "" {
|
|
baseURL = o.BaseURL["default"]
|
|
}
|
|
if baseURL == "" {
|
|
return nil, fmt.Errorf("missing base URL: please configure the local access address for Ollama (e.g., http://127.0.0.1:11434/v1)")
|
|
}
|
|
|
|
url := fmt.Sprintf("%s/%s", baseURL, o.URLSuffix.Models)
|
|
reqBody := map[string]interface{}{}
|
|
|
|
jsonData, err := json.Marshal(reqBody)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("failed to marshal request: %w", err)
|
|
}
|
|
|
|
req, err := http.NewRequest("GET", url, bytes.NewBuffer(jsonData))
|
|
if err != nil {
|
|
return nil, fmt.Errorf("failed to create request: %w", err)
|
|
}
|
|
|
|
req.Header.Set("Content-Type", "application/json")
|
|
|
|
resp, err := o.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 result map[string]interface{}
|
|
if err = json.Unmarshal(body, &result); err != nil {
|
|
return nil, fmt.Errorf("failed to parse response: %w", err)
|
|
}
|
|
|
|
// convert result["data"] to []map[string]interface{}
|
|
models := make([]string, 0)
|
|
for _, model := range result["models"].([]interface{}) {
|
|
modelMap := model.(map[string]interface{})
|
|
modelName := modelMap["name"].(string)
|
|
models = append(models, modelName)
|
|
}
|
|
|
|
return models, nil
|
|
}
|
|
|
|
func (o *OllamaModel) Balance(apiConfig *APIConfig) (map[string]interface{}, error) {
|
|
return nil, fmt.Errorf("no such method")
|
|
}
|
|
|
|
// CheckConnection verifies that the configured Ollama base URL is reachable
|
|
func (o *OllamaModel) CheckConnection(apiConfig *APIConfig) error {
|
|
_, err := o.ListModels(apiConfig)
|
|
return err
|
|
}
|
|
|
|
func (z *OllamaModel) ListTasks(apiConfig *APIConfig) ([]ListTaskStatus, error) {
|
|
return nil, fmt.Errorf("%s, no such method", z.Name())
|
|
}
|
|
|
|
func (z *OllamaModel) ShowTask(taskID string, apiConfig *APIConfig) (*TaskResponse, error) {
|
|
return nil, fmt.Errorf("%s, no such method", z.Name())
|
|
}
|