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2025-08-27 19:57:34 +08:00
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/*
* Copyright (c) 2023-2025, Agents-Flex (fuhai999@gmail.com).
* <p>
* 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
* <p>
* http://www.apache.org/licenses/LICENSE-2.0
* <p>
* 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.qwen;
import com.agentsflex.core.document.Document;
import com.agentsflex.core.llm.ChatOptions;
import com.agentsflex.core.llm.embedding.EmbeddingOptions;
import com.agentsflex.core.message.HumanMessage;
import com.agentsflex.core.message.Message;
import com.agentsflex.core.parser.AiMessageParser;
import com.agentsflex.core.parser.impl.DefaultAiMessageParser;
import com.agentsflex.core.prompt.DefaultPromptFormat;
import com.agentsflex.core.prompt.Prompt;
import com.agentsflex.core.prompt.PromptFormat;
import com.agentsflex.core.util.CollectionUtil;
import com.agentsflex.core.util.Maps;
import com.agentsflex.core.util.MessageUtil;
import java.util.List;
import java.util.Optional;
public class QwenLlmUtil {
private static final PromptFormat promptFormat = new DefaultPromptFormat();
public static AiMessageParser getAiMessageParser(boolean isStream) {
return DefaultAiMessageParser.getChatGPTMessageParser(isStream);
}
public static String promptToPayload(Prompt prompt, QwenLlmConfig config, ChatOptions options, boolean withStream) {
// https://help.aliyun.com/zh/dashscope/developer-reference/api-details?spm=a2c4g.11186623.0.0.1ff6fa70jCgGRc#b8ebf6b25eul6
List<Message> messages = prompt.toMessages();
HumanMessage message = MessageUtil.findLastHumanMessage(messages);
Maps params = Maps.of("model", Optional.ofNullable(options.getModel()).orElse(config.getModel()))
.set("messages", promptFormat.toMessagesJsonObject(messages))
.setIf(withStream, "stream", true)
.setIf(withStream, "stream_options", Maps.of("include_usage", true))
.setIfNotEmpty("tools", promptFormat.toFunctionsJsonObject(message))
.setIfContainsKey("tools", "tool_choice", MessageUtil.getToolChoice(message))
.setIfNotNull("top_p", options.getTopP())
.setIfNotEmpty("stop", options.getStop())
.setIf(map -> !map.containsKey("tools") && options.getTemperature() > 0, "temperature", options.getTemperature())
.setIf(map -> !map.containsKey("tools") && options.getMaxTokens() != null, "max_tokens", options.getMaxTokens());
if (options instanceof QwenChatOptions) {
QwenChatOptions op = (QwenChatOptions) options;
params.setIf(CollectionUtil.hasItems(op.getModalities()), "modalities", op.getModalities());
params.setIf(op.getPresencePenalty() != null, "presence_penalty", op.getPresencePenalty());
params.setIf(op.getResponseFormat() != null, "response_format", op.getResponseFormat());
params.setIf(op.getN() != null, "n", op.getN());
params.setIf(op.getParallelToolCalls() != null, "parallel_tool_calls", op.getParallelToolCalls());
params.setIf(op.getTranslationOptions() != null, "translation_options", op.getTranslationOptions());
params.setIf(op.getEnableSearch() != null, "enable_search", op.getEnableSearch());
params.setIf(op.getEnableSearch() != null && op.getEnableSearch() && op.getSearchOptions() != null, "search_options", op.getSearchOptions());
params.setIf(op.getEnableThinking() != null, "enable_thinking", op.getEnableThinking());
params.setIf(op.getEnableThinking() != null && op.getEnableThinking() && op.getThinkingBudget() != null, "thinking_budget", op.getThinkingBudget());
}
params.setIfNotEmpty(options.getExtra());
return params.toJSON();
}
public static String promptToEnabledPayload(Document text, EmbeddingOptions options, QwenLlmConfig config) {
//https://help.aliyun.com/zh/model-studio/developer-reference/embedding-interfaces-compatible-with-openai?spm=a2c4g.11186623.0.i3
return Maps.of("model", options.getModelOrDefault(config.getModel()))
.set("encoding_format", "float")
.set("input", text.getContent())
.toJSON();
}
}