From 3bfb391b6d1c22ac6333e43a36a89052e816c76d Mon Sep 17 00:00:00 2001
From: 0007 <0007@qq.com>
Date: Wed, 27 Aug 2025 19:57:31 +0800
Subject: [PATCH] Add File

---
 .../llm/qianfan/QianFanLlmUtil.java           | 102 ++++++++++++++++++
 1 file changed, 102 insertions(+)
 create mode 100644 agents-flex-llm/agents-flex-llm-qianfan/src/main/java/com/agentsflex/llm/qianfan/QianFanLlmUtil.java

diff --git a/agents-flex-llm/agents-flex-llm-qianfan/src/main/java/com/agentsflex/llm/qianfan/QianFanLlmUtil.java b/agents-flex-llm/agents-flex-llm-qianfan/src/main/java/com/agentsflex/llm/qianfan/QianFanLlmUtil.java
new file mode 100644
index 0000000..a4dcb87
--- /dev/null
+++ b/agents-flex-llm/agents-flex-llm-qianfan/src/main/java/com/agentsflex/llm/qianfan/QianFanLlmUtil.java
@@ -0,0 +1,102 @@
+package com.agentsflex.llm.qianfan;
+
+import com.agentsflex.core.document.Document;
+import com.agentsflex.core.llm.ChatOptions;
+import com.agentsflex.core.llm.embedding.EmbeddingOptions;
+import com.agentsflex.core.llm.functions.Function;
+import com.agentsflex.core.llm.functions.Parameter;
+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.Maps;
+import com.agentsflex.core.util.MessageUtil;
+
+import java.util.*;
+
+public class QianFanLlmUtil {
+    private static final PromptFormat promptFormat = new DefaultPromptFormat() {
+        @Override
+        protected void buildFunctionJsonArray(List<Map<String, Object>> functionsJsonArray, List<Function> functions) {
+            for (Function function : functions) {
+                Map<String, Object> functionRoot = new HashMap<>();
+                functionRoot.put("type", "function");
+
+                Map<String, Object> functionObj = new HashMap<>();
+                functionRoot.put("function", functionObj);
+
+                functionObj.put("name", function.getName());
+                functionObj.put("description", function.getDescription());
+
+
+                Map<String, Object> parametersObj = new HashMap<>();
+                functionObj.put("parameters", parametersObj);
+
+                parametersObj.put("type", "object");
+
+                Map<String, Object> propertiesObj = new HashMap<>();
+                parametersObj.put("properties", propertiesObj);
+
+                List<String> requiredProperties = new ArrayList<>();
+
+                for (Parameter parameter : function.getParameters()) {
+                    Map<String, Object> parameterObj = new HashMap<>();
+                    parameterObj.put("type", parameter.getType());
+                    parameterObj.put("description", parameter.getDescription());
+                    if (parameter.getEnums().length > 0) {
+                        parameterObj.put("enum", parameter.getEnums());
+                    }
+                    if (parameter.isRequired()) {
+                        requiredProperties.add(parameter.getName());
+                    }
+
+                    propertiesObj.put(parameter.getName(), parameterObj);
+                }
+
+                if (!requiredProperties.isEmpty()) {
+                    parametersObj.put("required", requiredProperties);
+                }
+
+                functionsJsonArray.add(functionRoot);
+            }
+        }
+    };
+
+
+    public static AiMessageParser getAiMessageParser(boolean isStream) {
+        return DefaultAiMessageParser.getChatGPTMessageParser(isStream);
+    }
+
+
+    public static String promptToEmbeddingsPayload(Document text, EmbeddingOptions options, QianFanLlmConfig config) {
+        List<String> documents = new ArrayList<>();
+        documents.add(text.getContent());
+        return Maps.of("model", options.getModelOrDefault(config.getEmbeddingModel()))
+            .set("encoding_format", "float")
+            .set("input", documents)
+            .toJSON();
+    }
+
+
+    public static String promptToPayload(Prompt prompt, QianFanLlmConfig config, ChatOptions options, boolean withStream) {
+        List<Message> messages = prompt.toMessages();
+        HumanMessage message = MessageUtil.findLastHumanMessage(messages);
+        return Maps.of("model", Optional.ofNullable(options.getModel()).orElse(config.getModel()))
+            .set("messages", promptFormat.toMessagesJsonObject(messages))
+            .setIf(withStream, "stream", 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())
+            .setIfNotEmpty(options.getExtra())
+            .toJSON();
+    }
+}
+
+
+