Files
ragflow/internal/entity/models/dummy.go
Jin Hai 6d9430a125 Add think chat to CLI (#13922)
### What problem does this PR solve?

Now user can use 'think mode' to chat with LLM

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

---------

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2026-04-03 18:11:23 +08:00

61 lines
2.2 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 Zhipu AI (智谱 AI)
type DummyModel struct {
BaseURL string
URLSuffix URLSuffix
}
// NewDummyModel creates a new Zhipu AI model instance
func NewDummyModel(baseURL string, urlSuffix URLSuffix) *DummyModel {
return &DummyModel{
BaseURL: baseURL,
URLSuffix: urlSuffix,
}
}
// Chat sends a message and returns response
func (z *DummyModel) Chat(modelName, apiKey, message *string, genConf map[string]interface{}) (string, error) {
return "", fmt.Errorf("not implemented")
}
// ChatStreamly sends a message and streams response
func (z *DummyModel) ChatStreamly(modelName, apiKey, message *string, genConf map[string]interface{}) (<-chan string, error) {
return nil, fmt.Errorf("not implemented")
}
// ChatStreamlyWithChannel sends a message and streams response to channel (better performance)
func (z *DummyModel) ChatStreamlyWithChannel(modelName, apiKey, message *string, genConf map[string]interface{}, resultChan chan<- string) error {
return fmt.Errorf("not implemented")
}
// ChatStreamlyWithSender sends a message and streams response via sender function (best performance, no channel)
func (z *DummyModel) ChatStreamlyWithSender(modelName, apiKey, message *string, modelConfig *ChatConfig, sender func(*string, *string) error) error {
return fmt.Errorf("not implemented")
}
// EncodeToEmbedding encodes a list of texts into embeddings
func (z *DummyModel) EncodeToEmbedding(modelName, apiKey *string, texts []string) ([][]float64, error) {
return nil, fmt.Errorf("not implemented")
}