Files
ragflow/internal/entity/models/ollama.go
jay77721 1478aa4ced feat(go-models): migrate batch 3 model drivers to unified handlers (#17698)
## Summary

Relate to #17284

Migrate 10 OpenAI-compatible drivers (`minimax`, `mistral`,
`modelscope`, `moonshot`, `n1n`, `novita`, `ollama`, `openai`,
`openai_api_compatible`, `openrouter`) to use the unified response
handlers (`HandleNonStreamingResponse` / `HandleStreamingResponse`),
following the same pattern established by `deepseek` in #17634.

- Cut ~150 lines per driver (1692 lines removed, 172 added across 10
files).
- `openai_api_compatible` gains `ChatWithMessages` +
`ChatStreamlyWithSender` required by the unified handler infrastructure.
- `openai` driver preserves `reasoning_content` extraction for o-series
models.
- All drivers: pure deduplication of HTTP plumbing.

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-08-03 15:08:55 +08:00

343 lines
11 KiB
Go

//
// 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"
"ragflow/internal/common"
"strings"
)
// OllamaModel implements ModelDriver for Ollama AI
type OllamaModel struct {
baseModel BaseModel
}
// NewOllamaModel creates a new Ollama AI model instance
func NewOllamaModel(baseURL map[string]string, urlSuffix URLSuffix) *OllamaModel {
return &OllamaModel{
baseModel: BaseModel{
BaseURL: baseURL,
URLSuffix: urlSuffix,
AllowEmptyAPIKey: true,
httpClient: NewDriverHTTPClient(true),
},
}
}
func (o *OllamaModel) NewInstance(baseURL map[string]string) ModelDriver {
return NewOllamaModel(baseURL, o.baseModel.URLSuffix)
}
func (o *OllamaModel) Name() string {
return "Ollama"
}
func (o *OllamaModel) ChatWithMessages(ctx context.Context, modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig, modelUsage *common.ModelUsage) (*ChatResponse, error) {
if len(messages) == 0 {
return nil, fmt.Errorf("message is nil")
}
resolvedBaseURL, err := o.baseModel.GetBaseURL(apiConfig)
if err != nil {
return nil, err
}
url := fmt.Sprintf("%s/%s", resolvedBaseURL, o.baseModel.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", resolvedBaseURL, o.baseModel.URLSuffix.AsyncChat)
}
// Build request body
reqBody := buildRequestBody(chatModelConfig, modelName, messages, false)
if chatModelConfig != nil {
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
}
}
}
body, err := o.baseModel.doRequest(ctx, url, apiConfig, reqBody, nonStreamCallTimeout)
if err != nil {
return nil, err
}
return HandleNonStreamingResponse(body, modelUsage, chatModelConfig, OpenAIParserConfig)
}
func (o *OllamaModel) ChatStreamlyWithSender(ctx context.Context, modelName string, messages []Message, apiConfig *APIConfig, modelConfig *ChatConfig, modelUsage *common.ModelUsage, sender func(*string, *string) error) error {
if len(messages) == 0 {
return fmt.Errorf("messages is empty")
}
resolvedBaseURL, err := o.baseModel.GetBaseURL(apiConfig)
if err != nil {
return err
}
url := fmt.Sprintf("%s/%s", resolvedBaseURL, o.baseModel.URLSuffix.Chat)
modelType := strings.Split(modelName, "-")[0]
if modelType == "qwen" || modelType == "glm" {
url = fmt.Sprintf("%s/%s", resolvedBaseURL, o.baseModel.URLSuffix.AsyncChat)
}
// Build request body with streaming enabled
reqBody := buildRequestBody(modelConfig, modelName, messages, true)
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
}
}
reqBody["stream_options"] = map[string]interface{}{"include_usage": true}
return o.baseModel.doStreamRequest(ctx, url, apiConfig, reqBody, streamCallTimeout, func(body io.ReadCloser) error {
return HandleStreamingResponse(body, modelUsage, modelConfig, OpenAIParserConfig, sender)
})
}
func (o *OllamaModel) Embed(ctx context.Context, modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig, modelUsage *common.ModelUsage) ([]EmbeddingData, error) {
if err := o.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")
}
resolvedBaseURL, err := o.baseModel.GetBaseURL(apiConfig)
if err != nil {
return nil, err
}
baseURL := resolvedBaseURL
if baseURL == "" {
baseURL = resolvedBaseURL
}
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.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(ctx, 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 := o.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("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(ctx context.Context, modelName *string, query string, documents []string, apiConfig *APIConfig, rerankConfig *RerankConfig, modelUsage *common.ModelUsage) (*RerankResponse, error) {
return nil, fmt.Errorf("no such method")
}
// TranscribeAudio transcribe audio
func (o *OllamaModel) 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", o.Name())
}
func (o *OllamaModel) 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", o.Name())
}
// AudioSpeech convert text to audio
func (o *OllamaModel) 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", o.Name())
}
func (o *OllamaModel) 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", o.Name())
}
// OCRFile OCR file
func (o *OllamaModel) 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", o.Name())
}
// ParseFile parse file
func (o *OllamaModel) 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", o.Name())
}
func (o *OllamaModel) ListModels(ctx context.Context, apiConfig *APIConfig) ([]ListModelResponse, error) {
baseURL, err := o.baseModel.GetBaseURL(apiConfig)
if err != nil {
return nil, err
}
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)")
}
url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), o.baseModel.URLSuffix.Models)
ctx, cancel := context.WithTimeout(ctx, nonStreamCallTimeout)
defer cancel()
req, err := http.NewRequestWithContext(ctx, http.MethodGet, url, nil)
if err != nil {
return nil, fmt.Errorf("failed to create request: %w", err)
}
req.Header.Set("Content-Type", "application/json")
resp, err := o.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))
}
// Ollama's /api/tags returns {"models":[{"name":...,"model":...}]}, a shape
// that differs from the OpenAI list. Decode it into a local struct, map the
// names into ModelList, then enrich through the shared ParseListModel helper
// (issue #15853). Using a typed struct also avoids the previous unchecked
// type assertions, which panicked when "models" was absent or malformed.
var result struct {
Models []struct {
Name string `json:"name"`
Model string `json:"model"`
} `json:"models"`
}
if err = json.Unmarshal(body, &result); err != nil {
return nil, fmt.Errorf("failed to parse response: %w", err)
}
modelList := ModelList{Object: "list"}
for _, m := range result.Models {
name := strings.TrimSpace(m.Name)
if name == "" {
name = strings.TrimSpace(m.Model)
}
if name == "" {
continue
}
modelList.Models = append(modelList.Models, ModelListItem{ID: name})
}
return ParseListModel(modelList), nil
}
func (o *OllamaModel) Balance(ctx context.Context, 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(ctx context.Context, apiConfig *APIConfig) error {
_, err := o.ListModels(ctx, apiConfig)
return err
}
func (o *OllamaModel) ListTasks(ctx context.Context, apiConfig *APIConfig) ([]ListTaskStatus, error) {
return nil, fmt.Errorf("%s, no such method", o.Name())
}
func (o *OllamaModel) ShowTask(ctx context.Context, taskID string, apiConfig *APIConfig) (*TaskResponse, error) {
return nil, fmt.Errorf("%s, no such method", o.Name())
}