Files
ragflow/internal/entity/models/dummy.go
qinling0210 12af73f2ca Support stream for multimodal chat (#14537)
### What problem does this PR solve?

Support stream for multimodal chat

### Type of change

- [x] Refactoring
2026-04-30 19:33:57 +08:00

76 lines
2.5 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 (
"fmt"
)
// DummyModel implements ModelDriver for Dummy AI
type DummyModel struct {
BaseURL map[string]string
URLSuffix URLSuffix
}
// NewDummyModel creates a new Dummy AI model instance
func NewDummyModel(baseURL map[string]string, urlSuffix URLSuffix) *DummyModel {
return &DummyModel{
BaseURL: baseURL,
URLSuffix: urlSuffix,
}
}
func (z *DummyModel) NewInstance(baseURL map[string]string) ModelDriver {
return nil
}
func (z *DummyModel) Name() string {
return "dummy"
}
// ChatWithMessages sends multiple messages with roles and returns response
func (z *DummyModel) ChatWithMessages(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig) (*ChatResponse, error) {
return nil, fmt.Errorf("not implemented")
}
// ChatStreamlyWithSender sends messages and streams response via sender function (best performance, no channel)
func (z *DummyModel) ChatStreamlyWithSender(modelName string, messages []Message, apiConfig *APIConfig, modelConfig *ChatConfig, sender func(*string, *string) error) error {
return fmt.Errorf("not implemented")
}
// Encode encodes a list of texts into embeddings
func (z *DummyModel) Encode(modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig) ([][]float64, error) {
return nil, fmt.Errorf("not implemented")
}
func (z *DummyModel) ListModels(apiConfig *APIConfig) ([]string, error) {
return nil, fmt.Errorf("not implemented")
}
func (z *DummyModel) Balance(apiConfig *APIConfig) (map[string]interface{}, error) {
return nil, fmt.Errorf("no such method")
}
func (z *DummyModel) CheckConnection(apiConfig *APIConfig) error {
return fmt.Errorf("no such method")
}
// Rerank calculates similarity scores between query and texts
func (z *DummyModel) Rerank(modelName *string, query string, texts []string, apiConfig *APIConfig) ([]float64, error) {
return nil, fmt.Errorf("%s, Rerank not implemented", z.Name())
}