com.agentsflex.llm.openai.OpenAiLLmUtil Maven / Gradle / Ivy
/*
* Copyright (c) 2023-2025, Agents-Flex ([email protected]).
*
* 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 com.agentsflex.llm.openai;
import com.agentsflex.core.document.Document;
import com.agentsflex.core.llm.ChatOptions;
import com.agentsflex.core.llm.embedding.EmbeddingOptions;
import com.agentsflex.core.message.MessageStatus;
import com.agentsflex.core.parser.AiMessageParser;
import com.agentsflex.core.parser.FunctionMessageParser;
import com.agentsflex.core.parser.impl.DefaultAiMessageParser;
import com.agentsflex.core.parser.impl.DefaultFunctionMessageParser;
import com.agentsflex.core.prompt.DefaultPromptFormat;
import com.agentsflex.core.prompt.Prompt;
import com.agentsflex.core.prompt.PromptFormat;
import com.agentsflex.core.util.Maps;
import com.alibaba.fastjson.JSON;
public class OpenAiLLmUtil {
private static final PromptFormat promptFormat = new DefaultPromptFormat();
public static AiMessageParser getAiMessageParser(boolean isStream) {
DefaultAiMessageParser aiMessageParser = new DefaultAiMessageParser();
if (isStream) {
aiMessageParser.setContentPath("$.choices[0].delta.content");
} else {
aiMessageParser.setContentPath("$.choices[0].message.content");
}
aiMessageParser.setIndexPath("$.choices[0].index");
aiMessageParser.setStatusPath("$.choices[0].finish_reason");
aiMessageParser.setStatusParser(content -> parseMessageStatus((String) content));
aiMessageParser.setTotalTokensPath("$.usage.total_tokens");
aiMessageParser.setPromptTokensPath("$.usage.prompt_tokens");
aiMessageParser.setCompletionTokensPath("$.usage.completion_tokens");
return aiMessageParser;
}
public static FunctionMessageParser getFunctionMessageParser() {
DefaultFunctionMessageParser functionMessageParser = new DefaultFunctionMessageParser();
functionMessageParser.setFunctionNamePath("$.choices[0].message.tool_calls[0].function.name");
functionMessageParser.setFunctionArgsPath("$.choices[0].message.tool_calls[0].function.arguments");
functionMessageParser.setFunctionArgsParser(JSON::parseObject);
return functionMessageParser;
}
public static MessageStatus parseMessageStatus(String status) {
return "stop".equals(status) ? MessageStatus.END : MessageStatus.MIDDLE;
}
public static String promptToEmbeddingsPayload(Document text, EmbeddingOptions options, OpenAiLlmConfig config) {
// https://platform.openai.com/docs/api-reference/making-requests
return Maps.of("model", options.getModelOrDefault(config.getDefaultEmbeddingModel()))
.put("encoding_format", "float")
.put("input", text.getContent())
.toJSON();
}
public static String promptToPayload(Prompt> prompt, OpenAiLlmConfig config, ChatOptions options, boolean withStream) {
Maps.Builder builder = Maps.of("model", config.getModel())
.put("messages", promptFormat.toMessagesJsonObject(prompt))
.putIf(withStream, "stream", true)
.putIfNotEmpty("tools", promptFormat.toFunctionsJsonObject(prompt))
.putIfContainsKey("tools", "tool_choice", "auto")
.putIfNotNull("top_p", options.getTopP())
.putIfNotEmpty("stop", options.getStop())
.putIf(map -> !map.containsKey("tools") && options.getTemperature() > 0, "temperature", options.getTemperature())
.putIf(map -> !map.containsKey("tools") && options.getMaxTokens() != null, "max_tokens", options.getMaxTokens());
return JSON.toJSONString(builder.build());
}
}