001/** 002 * Copyright (c) 2025-2026, Michael Yang 杨福海 (fuhai999@gmail.com). 003 * <p> 004 * Licensed under the GNU Lesser General Public License (LGPL) ,Version 3.0 (the "License"); 005 * you may not use this file except in compliance with the License. 006 * You may obtain a copy of the License at 007 * <p> 008 * http://www.gnu.org/licenses/lgpl-3.0.txt 009 * <p> 010 * Unless required by applicable law or agreed to in writing, software 011 * distributed under the License is distributed on an "AS IS" BASIS, 012 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 013 * See the License for the specific language governing permissions and 014 * limitations under the License. 015 */ 016package dev.tinyflow.core.parser.impl; 017 018import com.agentsflex.core.chain.ChainNode; 019import com.agentsflex.core.chain.node.LlmNode; 020import com.agentsflex.core.llm.ChatOptions; 021import com.agentsflex.core.llm.Llm; 022import com.alibaba.fastjson.JSONObject; 023import dev.tinyflow.core.Tinyflow; 024import dev.tinyflow.core.parser.BaseNodeParser; 025import dev.tinyflow.core.provider.LlmProvider; 026 027public class LlmNodeParser extends BaseNodeParser { 028 029 @Override 030 public ChainNode parse(JSONObject nodeJSONObject, Tinyflow tinyflow) { 031 LlmNode llmNode = new LlmNode(); 032 JSONObject data = getData(nodeJSONObject); 033 llmNode.setName(data.getString("label")); 034 llmNode.setUserPrompt(data.getString("userPrompt")); 035 llmNode.setSystemPrompt(data.getString("systemPrompt")); 036 llmNode.setOutType(data.getString("outType")); 037 038 039 ChatOptions chatOptions = new ChatOptions(); 040 chatOptions.setTopK(data.containsKey("topK") ? data.getInteger("topK") : 10); 041 chatOptions.setTopP(data.containsKey("topP") ? data.getFloat("topP") : 0.8F); 042 chatOptions.setTemperature(data.containsKey("temperature") ? data.getFloat("temperature") : 0.8F); 043 llmNode.setChatOptions(chatOptions); 044 045 LlmProvider llmProvider = tinyflow.getLlmProvider(); 046 if (llmProvider != null) { 047 Llm llm = llmProvider.getLlm(data.getBigInteger("model")); 048 llmNode.setLlm(llm); 049 } 050 051 addParameters(llmNode, data); 052 addOutputDefs(llmNode, data); 053 054 return llmNode; 055 } 056}