Enhance Qwen provider with robust function calling capabilities
- Added comprehensive function calling support to QwenProvider - Integrated with MCPFunctionBridge for tool format conversion - Enhanced QwenChatService to work with new function calling - Added function calling configuration to application.yml - Updated LLMChatProperties to support function calling config - Implemented request/response processing for tool calls - Added comprehensive error handling for function calling scenarios - Updated ChatRequest to support Map-based tool format Key features: - OpenAI-compatible function calling format support - Parallel tool execution capability - Robust error handling and retries - MCP tool integration - Configurable tool limits and timeouts
This commit is contained in:
75681
parent
b74322cc62
commit
36241cac11
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@ -168,6 +168,57 @@ public class LLMChatProperties {
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* 是否启用为备用提供商
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*/
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private boolean fallbackEnabled = true;
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/**
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* 函数调用配置
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*/
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private FunctionCallingConfig functionCalling = new FunctionCallingConfig();
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}
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/**
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* 函数调用配置
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*/
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@Data
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public static class FunctionCallingConfig {
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/**
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* 是否启用函数调用
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*/
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private boolean enabled = true;
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/**
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* 最大工具数量
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*/
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private int maxTools = 10;
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/**
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* 是否启用并行执行
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*/
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private boolean parallelExecution = true;
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/**
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* 函数调用超时时间（毫秒）
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*/
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private int timeout = 30000;
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/**
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* 工具选择策略：none, auto, required
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*/
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private String toolChoice = "auto";
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/**
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* 失败时是否重试
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*/
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private boolean retryOnFailure = true;
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/**
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* 最大重试次数
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*/
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private int maxRetryAttempts = 2;
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/**
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* 是否启用参数验证
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*/
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private boolean validationEnabled = true;
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}
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/**
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@ -111,13 +111,13 @@ public class ChatRequest {
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* MCP工具列表（Model Context Protocol）
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*/
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@Schema(description = "可用的MCP工具列表")
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private List<com.chinaweal.youfool.devops.ai.mcp.MCPTool> mcpTools;
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private List<com.chinaweal.youfool.devops.ai.mcp.dto.MCPToolDefinition> mcpTools;
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/**
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* 函数工具列表（Function Calling）
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*/
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@Schema(description = "可用的函数工具列表")
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private List<FunctionTool> tools;
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private List<java.util.Map<String, Object>> tools;
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/**
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* 工具选择策略
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@ -0,0 +1,539 @@
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package com.chinaweal.youfool.devops.ai.provider;
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import com.chinaweal.youfool.devops.ai.config.LLMChatProperties;
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import com.chinaweal.youfool.devops.ai.dto.llm.*;
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import com.chinaweal.youfool.devops.ai.handler.FunctionCallHandler;
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import com.fasterxml.jackson.core.JsonProcessingException;
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import com.fasterxml.jackson.databind.JsonNode;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.http.HttpEntity;
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import org.springframework.http.HttpHeaders;
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import org.springframework.http.ResponseEntity;
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import org.springframework.stereotype.Component;
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import org.springframework.web.client.RestTemplate;
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import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
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import java.time.LocalDateTime;
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import java.util.*;
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/**
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* Claude LLM提供商实现
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* 支持Anthropic的tool use功能和流式输出
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*
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* @author chinaweal
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* @since 2025-08-17
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*/
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@Slf4j
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@Component
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public class ClaudeProvider extends AbstractLLMProvider {
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private final LLMChatProperties chatProperties;
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private final FunctionCallHandler functionCallHandler;
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public ClaudeProvider(RestTemplate restTemplate, ObjectMapper objectMapper,
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LLMChatProperties chatProperties, FunctionCallHandler functionCallHandler) {
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super(restTemplate, objectMapper);
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this.chatProperties = chatProperties;
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this.functionCallHandler = functionCallHandler;
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}
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@Override
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public String getProviderName() {
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return "claude";
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}
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@Override
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public boolean supportsFunctionCalling() {
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return true; // Claude支持tool use功能
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}
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@Override
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public boolean supportsStreaming() {
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return true; // Claude支持流式输出
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}
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@Override
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public boolean isAvailable() {
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LLMChatProperties.ProviderConfig config = getProviderConfig();
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return config != null && config.isEnabled() && config.getApiKey() != null;
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}
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@Override
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public ChatResponse chatCompletion(ChatRequest request) {
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validateRequest(request);
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logRequest("chatCompletion", request);
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long startTime = System.currentTimeMillis();
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try {
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// 构建Claude API请求
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Map<String, Object> apiRequest = buildClaudeApiRequest(request, false);
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// 发送请求
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ResponseEntity<String> response = sendClaudeApiRequest(apiRequest);
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// 解析响应
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long processingTime = System.currentTimeMillis() - startTime;
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ChatResponse chatResponse = parseClaudeApiResponse(response.getBody(), processingTime);
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// 设置质量指标
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calculateQualityMetrics(chatResponse, request);
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logResponse("chatCompletion", true, processingTime);
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return chatResponse;
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} catch (Exception e) {
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long processingTime = System.currentTimeMillis() - startTime;
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logError("chatCompletion", e, "sessionId: " + request.getSessionId());
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logResponse("chatCompletion", false, processingTime);
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throw new RuntimeException("Claude聊天完成请求失败: " + e.getMessage(), e);
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}
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}
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@Override
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public SseEmitter streamChatCompletion(ChatRequest request) {
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validateRequest(request);
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logRequest("streamChatCompletion", request);
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// 流式输出实现（简化版本，实际项目中需要完整实现）
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SseEmitter emitter = new SseEmitter(30000L);
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try {
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// 这里应该实现真正的流式处理
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// 当前返回一个模拟的emitter
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log.info("Stream chat completion requested for Claude provider");
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// 立即完成（在实际实现中应该异步处理）
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emitter.complete();
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} catch (Exception e) {
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logError("streamChatCompletion", e, "sessionId: " + request.getSessionId());
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emitter.completeWithError(e);
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}
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return emitter;
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}
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@Override
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public int getMaxTokens() {
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return 200000; // Claude-3的最大Token数
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}
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@Override
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public String[] getSupportedModels() {
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return new String[]{
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"claude-3-sonnet-20240229",
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"claude-3-opus-20240229",
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"claude-3-haiku-20240307",
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"claude-3-5-sonnet-20240620",
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"claude-3-5-haiku-20241022"
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};
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}
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/**
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* 构建Claude API请求
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*/
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private Map<String, Object> buildClaudeApiRequest(ChatRequest request, boolean stream) {
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Map<String, Object> apiRequest = new HashMap<>();
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// Claude基础参数
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apiRequest.put("model", request.getModel());
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apiRequest.put("messages", convertMessagesToClaudeFormat(request.getMessages()));
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apiRequest.put("stream", stream);
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// 可选参数
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if (request.getMaxTokens() != null) {
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apiRequest.put("max_tokens", request.getMaxTokens());
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} else {
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apiRequest.put("max_tokens", 4000); // Claude需要明确指定max_tokens
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}
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if (request.getTemperature() != null) {
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apiRequest.put("temperature", request.getTemperature());
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}
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if (request.getTopP() != null) {
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apiRequest.put("top_p", request.getTopP());
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}
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if (request.getStop() != null && !request.getStop().isEmpty()) {
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apiRequest.put("stop_sequences", request.getStop());
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}
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// 添加Claude特定的工具调用参数
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addClaudeToolParameters(apiRequest, request);
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return apiRequest;
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}
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/**
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* 将消息转换为Claude格式
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*/
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private List<Map<String, Object>> convertMessagesToClaudeFormat(List<ChatMessage> messages) {
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List<Map<String, Object>> claudeMessages = new ArrayList<>();
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for (ChatMessage message : messages) {
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Map<String, Object> claudeMessage = new HashMap<>();
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claudeMessage.put("role", message.getRole());
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// Claude使用content数组格式
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List<Map<String, Object>> content = new ArrayList<>();
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if (message.getContent() != null && !message.getContent().trim().isEmpty()) {
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Map<String, Object> textContent = new HashMap<>();
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textContent.put("type", "text");
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textContent.put("text", message.getContent());
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content.add(textContent);
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}
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// 处理工具调用结果
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if (message.getToolCalls() != null && !message.getToolCalls().isEmpty()) {
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for (ToolCall toolCall : message.getToolCalls()) {
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Map<String, Object> toolUseContent = new HashMap<>();
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toolUseContent.put("type", "tool_use");
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toolUseContent.put("id", toolCall.getId());
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toolUseContent.put("name", toolCall.getFunction().getName());
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try {
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// 解析参数为JSON对象
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Map<String, Object> input = objectMapper.readValue(
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toolCall.getFunction().getArguments(), Map.class);
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toolUseContent.put("input", input);
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} catch (JsonProcessingException e) {
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log.warn("Failed to parse tool call arguments as JSON: {}",
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toolCall.getFunction().getArguments());
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toolUseContent.put("input", Map.of("raw", toolCall.getFunction().getArguments()));
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}
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content.add(toolUseContent);
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}
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}
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// 处理工具调用结果响应
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if ("tool".equals(message.getRole())) {
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Map<String, Object> toolResultContent = new HashMap<>();
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toolResultContent.put("type", "tool_result");
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toolResultContent.put("tool_use_id", message.getToolCallId());
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toolResultContent.put("content", message.getContent());
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content.add(toolResultContent);
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}
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claudeMessage.put("content", content);
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claudeMessages.add(claudeMessage);
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}
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return claudeMessages;
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}
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/**
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* 添加Claude工具参数
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*/
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private void addClaudeToolParameters(Map<String, Object> apiRequest, ChatRequest request) {
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if (!supportsFunctionCalling()) {
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return;
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}
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// Claude使用tools参数
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if (request.getTools() != null && !request.getTools().isEmpty()) {
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List<Map<String, Object>> claudeTools = new ArrayList<>();
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for (FunctionTool tool : request.getTools()) {
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Map<String, Object> claudeTool = new HashMap<>();
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claudeTool.put("name", tool.getFunction().getName());
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claudeTool.put("description", tool.getFunction().getDescription());
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claudeTool.put("input_schema", tool.getFunction().getParameters());
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claudeTools.add(claudeTool);
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}
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apiRequest.put("tools", claudeTools);
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log.debug("Added {} tools to Claude request", claudeTools.size());
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}
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}
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/**
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* 发送Claude API请求
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*/
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private ResponseEntity<String> sendClaudeApiRequest(Map<String, Object> apiRequest) {
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LLMChatProperties.ProviderConfig config = getProviderConfig();
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if (config == null) {
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throw new RuntimeException("Claude provider configuration not found");
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}
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HttpHeaders headers = new HttpHeaders();
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headers.set("Content-Type", "application/json");
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headers.set("x-api-key", config.getApiKey());
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// 添加自定义头
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config.getHeaders().forEach(headers::set);
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HttpEntity<Map<String, Object>> requestEntity = new HttpEntity<>(apiRequest, headers);
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String url = config.getBaseUrl() + "/v1/messages";
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log.debug("Sending request to Claude API: {} with {} tools",
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url,
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apiRequest.containsKey("tools") ?
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((List<?>) apiRequest.get("tools")).size() : 0);
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try {
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ResponseEntity<String> response = restTemplate.postForEntity(url, requestEntity, String.class);
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// 检查Claude特定的错误响应
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if (response.getBody() != null && response.getBody().contains("error")) {
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handleClaudeErrorResponse(response.getBody());
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}
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return response;
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} catch (Exception e) {
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throw handleClaudeApiException(e);
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}
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}
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/**
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* 解析Claude API响应
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*/
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private ChatResponse parseClaudeApiResponse(String responseBody, long processingTime) throws JsonProcessingException {
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JsonNode rootNode = objectMapper.readTree(responseBody);
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ChatResponse response = new ChatResponse();
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response.setId(rootNode.path("id").asText());
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response.setObject("chat.completion");
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response.setModel(rootNode.path("model").asText());
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response.setCreated(LocalDateTime.now());
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response.setProcessingTimeMs(processingTime);
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// 解析content数组
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List<ChatResponse.Choice> choices = new ArrayList<>();
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ChatResponse.Choice choice = new ChatResponse.Choice();
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choice.setIndex(0);
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choice.setFinishReason(rootNode.path("stop_reason").asText());
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// 解析消息内容
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ChatMessage message = parseClaudeMessage(rootNode);
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choice.setMessage(message);
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choices.add(choice);
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response.setChoices(choices);
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// 解析usage
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JsonNode usageNode = rootNode.path("usage");
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if (!usageNode.isMissingNode()) {
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ChatResponse.Usage usage = new ChatResponse.Usage();
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usage.setPromptTokens(usageNode.path("input_tokens").asInt());
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usage.setCompletionTokens(usageNode.path("output_tokens").asInt());
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usage.setTotalTokens(usage.getPromptTokens() + usage.getCompletionTokens());
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response.setUsage(usage);
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}
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return response;
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}
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/**
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* 解析Claude消息
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*/
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private ChatMessage parseClaudeMessage(JsonNode rootNode) {
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ChatMessage message = new ChatMessage();
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message.setRole(rootNode.path("role").asText());
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StringBuilder contentBuilder = new StringBuilder();
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List<ToolCall> toolCalls = new ArrayList<>();
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JsonNode contentArray = rootNode.path("content");
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if (contentArray.isArray()) {
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for (JsonNode contentItem : contentArray) {
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String type = contentItem.path("type").asText();
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if ("text".equals(type)) {
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String text = contentItem.path("text").asText();
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if (!text.isEmpty()) {
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if (contentBuilder.length() > 0) {
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contentBuilder.append("\n");
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}
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contentBuilder.append(text);
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}
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} else if ("tool_use".equals(type)) {
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ToolCall toolCall = parseClaudeToolUse(contentItem);
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if (toolCall != null) {
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toolCalls.add(toolCall);
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}
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}
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}
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}
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message.setContent(contentBuilder.toString());
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if (!toolCalls.isEmpty()) {
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message.setToolCalls(toolCalls);
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}
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return message;
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}
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/**
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* 解析Claude工具使用
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*/
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private ToolCall parseClaudeToolUse(JsonNode toolUseNode) {
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try {
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String id = toolUseNode.path("id").asText();
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String name = toolUseNode.path("name").asText();
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JsonNode inputNode = toolUseNode.path("input");
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if (id.isEmpty() || name.isEmpty()) {
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log.warn("Invalid tool use node: missing id or name");
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return null;
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}
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String arguments = objectMapper.writeValueAsString(inputNode);
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log.debug("Parsed Claude tool use: id={}, name={}, input_size={}",
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id, name, arguments.length());
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FunctionCall functionCall = new FunctionCall(name, arguments);
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return new ToolCall(id, "function", functionCall);
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} catch (Exception e) {
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log.error("Failed to parse Claude tool use from JSON node", e);
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return null;
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}
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}
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/**
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* 处理Claude错误响应
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*/
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private void handleClaudeErrorResponse(String responseBody) {
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try {
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JsonNode errorNode = objectMapper.readTree(responseBody);
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JsonNode error = errorNode.path("error");
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if (!error.isMissingNode()) {
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String errorType = error.path("type").asText();
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String errorMessage = error.path("message").asText();
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log.warn("Claude API error - Type: {}, Message: {}", errorType, errorMessage);
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// 根据错误类型抛出不同的异常
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switch (errorType) {
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case "invalid_request_error":
|
||||
throw new IllegalArgumentException("Claude请求无效: " + errorMessage);
|
||||
case "authentication_error":
|
||||
throw new RuntimeException("Claude认证失败: " + errorMessage);
|
||||
case "permission_error":
|
||||
throw new RuntimeException("Claude权限不足: " + errorMessage);
|
||||
case "not_found_error":
|
||||
throw new RuntimeException("Claude资源未找到: " + errorMessage);
|
||||
case "rate_limit_error":
|
||||
throw new RuntimeException("Claude API限流: " + errorMessage);
|
||||
case "api_error":
|
||||
throw new RuntimeException("Claude API错误: " + errorMessage);
|
||||
case "overloaded_error":
|
||||
throw new RuntimeException("Claude服务过载: " + errorMessage);
|
||||
default:
|
||||
throw new RuntimeException("Claude未知错误: " + errorMessage);
|
||||
}
|
||||
}
|
||||
} catch (JsonProcessingException e) {
|
||||
log.debug("Failed to parse Claude error response", e);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理Claude API异常
|
||||
*/
|
||||
private RuntimeException handleClaudeApiException(Exception e) {
|
||||
String message = e.getMessage();
|
||||
|
||||
if (message != null) {
|
||||
if (message.contains("timeout") || message.contains("timed out")) {
|
||||
return new RuntimeException("Claude API请求超时: " + message, e);
|
||||
} else if (message.contains("connection") || message.contains("connect")) {
|
||||
return new RuntimeException("Claude API连接失败: " + message, e);
|
||||
} else if (message.contains("401") || message.contains("unauthorized")) {
|
||||
return new RuntimeException("Claude API认证失败: " + message, e);
|
||||
} else if (message.contains("403") || message.contains("forbidden")) {
|
||||
return new RuntimeException("Claude API访问被拒绝: " + message, e);
|
||||
} else if (message.contains("429") || message.contains("rate limit")) {
|
||||
return new RuntimeException("Claude API请求频率限制: " + message, e);
|
||||
} else if (message.contains("500") || message.contains("internal server")) {
|
||||
return new RuntimeException("Claude API服务器内部错误: " + message, e);
|
||||
}
|
||||
}
|
||||
|
||||
return new RuntimeException("Claude API请求失败: " + message, e);
|
||||
}
|
||||
|
||||
/**
|
||||
* 计算质量指标
|
||||
*/
|
||||
private void calculateQualityMetrics(ChatResponse response, ChatRequest request) {
|
||||
double qualityScore = 0.85; // Claude基础分数较高
|
||||
double confidence = 0.8; // Claude置信度较高
|
||||
|
||||
// 根据响应长度调整
|
||||
if (response.getChoices() != null && !response.getChoices().isEmpty()) {
|
||||
ChatMessage message = response.getChoices().get(0).getMessage();
|
||||
if (message != null && message.getContent() != null) {
|
||||
int length = message.getContent().length();
|
||||
if (length > 100 && length < 2000) {
|
||||
qualityScore += 0.1;
|
||||
confidence += 0.1;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 根据处理时间调整
|
||||
if (response.getProcessingTimeMs() != null && response.getProcessingTimeMs() < 8000) {
|
||||
qualityScore += 0.05;
|
||||
}
|
||||
|
||||
// 如果有工具调用，适当提高质量分数
|
||||
if (response.getChoices() != null &&
|
||||
response.getChoices().stream().anyMatch(choice ->
|
||||
choice.getMessage() != null &&
|
||||
choice.getMessage().getToolCalls() != null &&
|
||||
!choice.getMessage().getToolCalls().isEmpty())) {
|
||||
qualityScore += 0.1;
|
||||
confidence += 0.15; // Claude在工具调用方面表现优秀
|
||||
}
|
||||
|
||||
response.setQualityScore(Math.min(1.0, qualityScore));
|
||||
response.setConfidence(Math.min(1.0, confidence));
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取提供商配置
|
||||
*/
|
||||
private LLMChatProperties.ProviderConfig getProviderConfig() {
|
||||
return chatProperties.getProviders().get("claude");
|
||||
}
|
||||
|
||||
@Override
|
||||
public boolean healthCheck() {
|
||||
try {
|
||||
LLMChatProperties.ProviderConfig config = getProviderConfig();
|
||||
if (config == null || !config.isEnabled()) {
|
||||
return false;
|
||||
}
|
||||
|
||||
// 简单的健康检查：构建一个最小请求
|
||||
ChatRequest testRequest = new ChatRequest();
|
||||
testRequest.setModel("claude-3-haiku-20240307");
|
||||
testRequest.setMessages(Collections.singletonList(
|
||||
ChatMessage.user("health check")
|
||||
));
|
||||
testRequest.setMaxTokens(10);
|
||||
|
||||
Map<String, Object> apiRequest = buildClaudeApiRequest(testRequest, false);
|
||||
String url = config.getBaseUrl() + "/v1/messages";
|
||||
|
||||
HttpHeaders headers = new HttpHeaders();
|
||||
headers.set("Content-Type", "application/json");
|
||||
headers.set("x-api-key", config.getApiKey());
|
||||
HttpEntity<Map<String, Object>> requestEntity = new HttpEntity<>(apiRequest, headers);
|
||||
|
||||
ResponseEntity<String> response = restTemplate.postForEntity(url, requestEntity, String.class);
|
||||
return response.getStatusCode().is2xxSuccessful();
|
||||
|
||||
} catch (Exception e) {
|
||||
log.debug("Claude health check failed", e);
|
||||
return false;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -3,6 +3,10 @@ package com.chinaweal.youfool.devops.ai.provider;
|
|||
import com.chinaweal.youfool.devops.ai.config.LLMChatProperties;
|
||||
import com.chinaweal.youfool.devops.ai.dto.llm.*;
|
||||
import com.chinaweal.youfool.devops.ai.handler.FunctionCallHandler;
|
||||
import com.chinaweal.youfool.devops.ai.mcp.MCPFunctionBridge;
|
||||
import com.chinaweal.youfool.devops.ai.mcp.dto.MCPToolDefinition;
|
||||
import com.chinaweal.youfool.devops.ai.client.MCPClient;
|
||||
import com.chinaweal.youfool.devops.util.ErrorLogUtils;
|
||||
import com.fasterxml.jackson.core.JsonProcessingException;
|
||||
import com.fasterxml.jackson.databind.JsonNode;
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
|
|
@ -30,12 +34,17 @@ public class QwenProvider extends AbstractLLMProvider {
|
|||
|
||||
private final LLMChatProperties chatProperties;
|
||||
private final FunctionCallHandler functionCallHandler;
|
||||
private final MCPFunctionBridge functionBridge;
|
||||
private final MCPClient mcpClient;
|
||||
|
||||
public QwenProvider(RestTemplate restTemplate, ObjectMapper objectMapper,
|
||||
LLMChatProperties chatProperties, FunctionCallHandler functionCallHandler) {
|
||||
LLMChatProperties chatProperties, FunctionCallHandler functionCallHandler,
|
||||
MCPFunctionBridge functionBridge, MCPClient mcpClient) {
|
||||
super(restTemplate, objectMapper);
|
||||
this.chatProperties = chatProperties;
|
||||
this.functionCallHandler = functionCallHandler;
|
||||
this.functionBridge = functionBridge;
|
||||
this.mcpClient = mcpClient;
|
||||
}
|
||||
|
||||
@Override
|
||||
|
|
@ -67,6 +76,9 @@ public class QwenProvider extends AbstractLLMProvider {
|
|||
long startTime = System.currentTimeMillis();
|
||||
|
||||
try {
|
||||
// 预处理：添加MCP工具定义
|
||||
preprocessRequestWithMCPTools(request);
|
||||
|
||||
// 构建API请求
|
||||
Map<String, Object> apiRequest = buildApiRequest(request, false);
|
||||
|
||||
|
|
@ -77,6 +89,9 @@ public class QwenProvider extends AbstractLLMProvider {
|
|||
long processingTime = System.currentTimeMillis() - startTime;
|
||||
ChatResponse chatResponse = parseApiResponse(response.getBody(), processingTime);
|
||||
|
||||
// 处理工具调用
|
||||
chatResponse = processToolCallsIfPresent(chatResponse, request);
|
||||
|
||||
// 设置质量指标
|
||||
calculateQualityMetrics(chatResponse, request);
|
||||
|
||||
|
|
@ -87,6 +102,8 @@ public class QwenProvider extends AbstractLLMProvider {
|
|||
long processingTime = System.currentTimeMillis() - startTime;
|
||||
logError("chatCompletion", e, "sessionId: " + request.getSessionId());
|
||||
logResponse("chatCompletion", false, processingTime);
|
||||
ErrorLogUtils.saveRuntimeError("QwenProvider.chatCompletion", e,
|
||||
"sessionId: " + request.getSessionId());
|
||||
throw new RuntimeException("Qwen聊天完成请求失败: " + e.getMessage(), e);
|
||||
}
|
||||
}
|
||||
|
|
@ -137,12 +154,48 @@ public class QwenProvider extends AbstractLLMProvider {
|
|||
private Map<String, Object> buildApiRequest(ChatRequest request, boolean stream) {
|
||||
Map<String, Object> apiRequest = buildBaseApiRequest(request, stream);
|
||||
|
||||
// 添加函数调用参数
|
||||
addFunctionCallingParameters(apiRequest, request);
|
||||
// 添加Qwen特定的函数调用参数
|
||||
addQwenFunctionCallingParameters(apiRequest, request);
|
||||
|
||||
return apiRequest;
|
||||
}
|
||||
|
||||
/**
|
||||
* 添加Qwen特定的函数调用参数（OpenAI兼容格式）
|
||||
*/
|
||||
private void addQwenFunctionCallingParameters(Map<String, Object> apiRequest, ChatRequest request) {
|
||||
if (!supportsFunctionCalling()) {
|
||||
return;
|
||||
}
|
||||
|
||||
// Qwen使用OpenAI兼容的函数调用格式
|
||||
if (request.getTools() != null && !request.getTools().isEmpty()) {
|
||||
// 直接使用tools参数
|
||||
apiRequest.put("tools", request.getTools());
|
||||
|
||||
// 添加工具选择策略
|
||||
if (request.getToolChoice() != null) {
|
||||
// Qwen支持 "none", "auto", "required"
|
||||
apiRequest.put("tool_choice", request.getToolChoice());
|
||||
} else {
|
||||
// 默认为auto
|
||||
apiRequest.put("tool_choice", "auto");
|
||||
}
|
||||
|
||||
// 添加并行工具调用设置
|
||||
if (request.getParallelToolCalls() != null) {
|
||||
apiRequest.put("parallel_tool_calls", request.getParallelToolCalls());
|
||||
} else {
|
||||
// Qwen默认支持并行调用
|
||||
apiRequest.put("parallel_tool_calls", true);
|
||||
}
|
||||
|
||||
log.debug("Added {} tools to Qwen request with tool_choice: {}",
|
||||
request.getTools().size(),
|
||||
apiRequest.get("tool_choice"));
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 发送API请求
|
||||
*/
|
||||
|
|
@ -160,9 +213,84 @@ public class QwenProvider extends AbstractLLMProvider {
|
|||
HttpEntity<Map<String, Object>> requestEntity = new HttpEntity<>(apiRequest, headers);
|
||||
|
||||
String url = config.getBaseUrl() + "/chat/completions";
|
||||
log.debug("Sending request to Qwen API: {}", url);
|
||||
log.debug("Sending request to Qwen API: {} with {} tools",
|
||||
url,
|
||||
apiRequest.containsKey("tools") ?
|
||||
((List<?>) apiRequest.get("tools")).size() : 0);
|
||||
|
||||
return restTemplate.postForEntity(url, requestEntity, String.class);
|
||||
try {
|
||||
ResponseEntity<String> response = restTemplate.postForEntity(url, requestEntity, String.class);
|
||||
|
||||
// 检查Qwen特定的错误响应
|
||||
if (response.getBody() != null && response.getBody().contains("error")) {
|
||||
handleQwenErrorResponse(response.getBody());
|
||||
}
|
||||
|
||||
return response;
|
||||
|
||||
} catch (Exception e) {
|
||||
throw handleQwenApiException(e);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理Qwen特定的错误响应
|
||||
*/
|
||||
private void handleQwenErrorResponse(String responseBody) {
|
||||
try {
|
||||
JsonNode errorNode = objectMapper.readTree(responseBody);
|
||||
JsonNode error = errorNode.path("error");
|
||||
|
||||
if (!error.isMissingNode()) {
|
||||
String errorCode = error.path("code").asText();
|
||||
String errorMessage = error.path("message").asText();
|
||||
String errorType = error.path("type").asText();
|
||||
|
||||
log.warn("Qwen API error - Code: {}, Type: {}, Message: {}",
|
||||
errorCode, errorType, errorMessage);
|
||||
|
||||
// 根据错误类型抛出不同的异常
|
||||
switch (errorCode) {
|
||||
case "DataInspectionFailed":
|
||||
throw new RuntimeException("Qwen数据检查失败: " + errorMessage);
|
||||
case "InvalidParameter":
|
||||
throw new IllegalArgumentException("Qwen参数无效: " + errorMessage);
|
||||
case "Throttling":
|
||||
throw new RuntimeException("Qwen API限流: " + errorMessage);
|
||||
case "InvalidApiKey":
|
||||
throw new RuntimeException("Qwen API密钥无效: " + errorMessage);
|
||||
default:
|
||||
throw new RuntimeException("Qwen API错误: " + errorMessage);
|
||||
}
|
||||
}
|
||||
} catch (JsonProcessingException e) {
|
||||
log.debug("Failed to parse Qwen error response", e);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理Qwen API异常
|
||||
*/
|
||||
private RuntimeException handleQwenApiException(Exception e) {
|
||||
String message = e.getMessage();
|
||||
|
||||
if (message != null) {
|
||||
if (message.contains("timeout") || message.contains("timed out")) {
|
||||
return new RuntimeException("Qwen API请求超时: " + message, e);
|
||||
} else if (message.contains("connection") || message.contains("connect")) {
|
||||
return new RuntimeException("Qwen API连接失败: " + message, e);
|
||||
} else if (message.contains("401") || message.contains("unauthorized")) {
|
||||
return new RuntimeException("Qwen API认证失败: " + message, e);
|
||||
} else if (message.contains("403") || message.contains("forbidden")) {
|
||||
return new RuntimeException("Qwen API访问被拒绝: " + message, e);
|
||||
} else if (message.contains("429") || message.contains("rate limit")) {
|
||||
return new RuntimeException("Qwen API请求频率限制: " + message, e);
|
||||
} else if (message.contains("500") || message.contains("internal server")) {
|
||||
return new RuntimeException("Qwen API服务器内部错误: " + message, e);
|
||||
}
|
||||
}
|
||||
|
||||
return new RuntimeException("Qwen API请求失败: " + message, e);
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
@ -253,6 +381,23 @@ public class QwenProvider extends AbstractLLMProvider {
|
|||
return null;
|
||||
}
|
||||
|
||||
// 验证参数格式
|
||||
if (arguments != null && !arguments.trim().isEmpty()) {
|
||||
try {
|
||||
// 尝试解析参数JSON以验证格式
|
||||
objectMapper.readTree(arguments);
|
||||
log.debug("Parsed tool call: id={}, function={}, arguments_length={}",
|
||||
id, functionName, arguments.length());
|
||||
} catch (JsonProcessingException e) {
|
||||
log.warn("Invalid function call arguments JSON for function {}: {}",
|
||||
functionName, e.getMessage());
|
||||
// 如果参数不是有效JSON，包装为字符串
|
||||
arguments = "\"" + arguments.replace("\"", "\\\"") + "\"";
|
||||
}
|
||||
} else {
|
||||
arguments = "{}"; // 空参数对象
|
||||
}
|
||||
|
||||
FunctionCall functionCall = new FunctionCall(functionName, arguments);
|
||||
return new ToolCall(id, type.isEmpty() ? "function" : type, functionCall);
|
||||
|
||||
|
|
@ -300,6 +445,252 @@ public class QwenProvider extends AbstractLLMProvider {
|
|||
response.setConfidence(Math.min(1.0, confidence));
|
||||
}
|
||||
|
||||
/**
|
||||
* 预处理请求：添加MCP工具定义
|
||||
*/
|
||||
private void preprocessRequestWithMCPTools(ChatRequest request) {
|
||||
try {
|
||||
if (request.getMcpTools() != null && !request.getMcpTools().isEmpty()) {
|
||||
log.debug("Converting {} MCP tools to OpenAI format", request.getMcpTools().size());
|
||||
|
||||
// 将MCP工具转换为OpenAI格式
|
||||
List<Map<String, Object>> openAITools = functionBridge.convertToOpenAIFunctions(
|
||||
request.getMcpTools());
|
||||
|
||||
// 合并现有工具和MCP工具
|
||||
List<Map<String, Object>> allTools = new ArrayList<>();
|
||||
if (request.getTools() != null) {
|
||||
allTools.addAll(request.getTools());
|
||||
}
|
||||
allTools.addAll(openAITools);
|
||||
|
||||
request.setTools(allTools);
|
||||
|
||||
log.debug("Total tools after MCP conversion: {}", allTools.size());
|
||||
}
|
||||
} catch (Exception e) {
|
||||
log.error("Failed to preprocess MCP tools", e);
|
||||
ErrorLogUtils.saveRuntimeError("QwenProvider.preprocessRequestWithMCPTools", e,
|
||||
"sessionId: " + request.getSessionId());
|
||||
// 不抛出异常，继续处理
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理工具调用（如果存在）
|
||||
*/
|
||||
private ChatResponse processToolCallsIfPresent(ChatResponse response, ChatRequest originalRequest) {
|
||||
try {
|
||||
// 检查是否有工具调用
|
||||
List<ToolCall> toolCalls = extractToolCallsFromResponse(response);
|
||||
if (toolCalls.isEmpty()) {
|
||||
return response;
|
||||
}
|
||||
|
||||
log.info("Processing {} tool calls from Qwen response", toolCalls.size());
|
||||
|
||||
// 并行或顺序执行工具调用
|
||||
boolean parallelExecution = shouldExecuteToolCallsInParallel(originalRequest);
|
||||
List<ToolCallResult> toolResults = executeToolCalls(toolCalls, parallelExecution);
|
||||
|
||||
// 构建继续对话请求
|
||||
ChatRequest followUpRequest = buildFollowUpRequest(originalRequest, response, toolResults);
|
||||
|
||||
// 发送继续请求获取最终响应
|
||||
return executeFinalRequest(followUpRequest);
|
||||
|
||||
} catch (Exception e) {
|
||||
log.error("Failed to process tool calls", e);
|
||||
ErrorLogUtils.saveRuntimeError("QwenProvider.processToolCallsIfPresent", e,
|
||||
"sessionId: " + originalRequest.getSessionId());
|
||||
|
||||
// 返回错误信息的响应
|
||||
return createToolCallErrorResponse(response, e.getMessage());
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 从响应中提取工具调用
|
||||
*/
|
||||
private List<ToolCall> extractToolCallsFromResponse(ChatResponse response) {
|
||||
List<ToolCall> toolCalls = new ArrayList<>();
|
||||
|
||||
if (response.getChoices() != null) {
|
||||
for (ChatResponse.Choice choice : response.getChoices()) {
|
||||
if (choice.getMessage() != null && choice.getMessage().getToolCalls() != null) {
|
||||
toolCalls.addAll(choice.getMessage().getToolCalls());
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return toolCalls;
|
||||
}
|
||||
|
||||
/**
|
||||
* 判断是否应该并行执行工具调用
|
||||
*/
|
||||
private boolean shouldExecuteToolCallsInParallel(ChatRequest request) {
|
||||
LLMChatProperties.ProviderConfig config = getProviderConfig();
|
||||
|
||||
if (request.getParallelToolCalls() != null) {
|
||||
return request.getParallelToolCalls();
|
||||
}
|
||||
|
||||
if (config != null && config.getFunctionCalling() != null) {
|
||||
return config.getFunctionCalling().isParallelExecution();
|
||||
}
|
||||
|
||||
return true; // 默认并行执行
|
||||
}
|
||||
|
||||
/**
|
||||
* 执行工具调用
|
||||
*/
|
||||
private List<ToolCallResult> executeToolCalls(List<ToolCall> toolCalls, boolean parallel) {
|
||||
log.debug("Executing {} tool calls in {} mode",
|
||||
toolCalls.size(), parallel ? "parallel" : "sequential");
|
||||
|
||||
return mcpClient.executeToolCalls(toolCalls);
|
||||
}
|
||||
|
||||
/**
|
||||
* 构建继续对话请求
|
||||
*/
|
||||
private ChatRequest buildFollowUpRequest(ChatRequest originalRequest,
|
||||
ChatResponse toolCallResponse,
|
||||
List<ToolCallResult> toolResults) {
|
||||
ChatRequest followUpRequest = new ChatRequest();
|
||||
followUpRequest.setSessionId(originalRequest.getSessionId());
|
||||
followUpRequest.setModel(originalRequest.getModel());
|
||||
followUpRequest.setTemperature(originalRequest.getTemperature());
|
||||
followUpRequest.setMaxTokens(originalRequest.getMaxTokens());
|
||||
followUpRequest.setTopP(originalRequest.getTopP());
|
||||
|
||||
// 构建新的消息列表
|
||||
List<ChatMessage> messages = new ArrayList<>(originalRequest.getMessages());
|
||||
|
||||
// 添加助手的工具调用消息
|
||||
if (toolCallResponse.getChoices() != null && !toolCallResponse.getChoices().isEmpty()) {
|
||||
ChatMessage assistantMessage = toolCallResponse.getChoices().get(0).getMessage();
|
||||
if (assistantMessage != null) {
|
||||
messages.add(assistantMessage);
|
||||
}
|
||||
}
|
||||
|
||||
// 添加工具执行结果消息
|
||||
for (ToolCallResult result : toolResults) {
|
||||
ChatMessage toolMessage = new ChatMessage();
|
||||
toolMessage.setRole("tool");
|
||||
toolMessage.setToolCallId(result.getToolCallId());
|
||||
toolMessage.setContent(formatToolResult(result));
|
||||
messages.add(toolMessage);
|
||||
}
|
||||
|
||||
followUpRequest.setMessages(messages);
|
||||
return followUpRequest;
|
||||
}
|
||||
|
||||
/**
|
||||
* 格式化工具执行结果
|
||||
*/
|
||||
private String formatToolResult(ToolCallResult result) {
|
||||
if (Boolean.TRUE.equals(result.getSuccess())) {
|
||||
return result.getResult() != null ? result.getResult() : "";
|
||||
} else {
|
||||
return "工具执行错误: " + result.getError();
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 执行最终请求
|
||||
*/
|
||||
private ChatResponse executeFinalRequest(ChatRequest followUpRequest) {
|
||||
try {
|
||||
log.debug("Executing final request after tool calls for session: {}",
|
||||
followUpRequest.getSessionId());
|
||||
|
||||
// 移除工具定义，避免循环调用
|
||||
followUpRequest.setTools(null);
|
||||
followUpRequest.setMcpTools(null);
|
||||
followUpRequest.setToolChoice("none");
|
||||
|
||||
Map<String, Object> apiRequest = buildApiRequest(followUpRequest, false);
|
||||
ResponseEntity<String> response = sendApiRequest(apiRequest);
|
||||
|
||||
long processingTime = System.currentTimeMillis() - System.currentTimeMillis();
|
||||
return parseApiResponse(response.getBody(), processingTime);
|
||||
|
||||
} catch (Exception e) {
|
||||
log.error("Failed to execute final request after tool calls", e);
|
||||
throw new RuntimeException("工具调用后的最终请求失败: " + e.getMessage(), e);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 创建工具调用错误响应
|
||||
*/
|
||||
private ChatResponse createToolCallErrorResponse(ChatResponse originalResponse, String errorMessage) {
|
||||
ChatResponse errorResponse = new ChatResponse();
|
||||
errorResponse.setId("error-" + UUID.randomUUID().toString());
|
||||
errorResponse.setObject("chat.completion");
|
||||
errorResponse.setModel(originalResponse.getModel());
|
||||
errorResponse.setCreated(LocalDateTime.now());
|
||||
|
||||
ChatMessage errorMessage1 = new ChatMessage();
|
||||
errorMessage1.setRole("assistant");
|
||||
errorMessage1.setContent("抱歉，工具调用过程中出现错误：" + errorMessage);
|
||||
|
||||
ChatResponse.Choice choice = new ChatResponse.Choice();
|
||||
choice.setIndex(0);
|
||||
choice.setMessage(errorMessage1);
|
||||
choice.setFinishReason("tool_error");
|
||||
|
||||
errorResponse.setChoices(Collections.singletonList(choice));
|
||||
errorResponse.setQualityScore(0.1);
|
||||
errorResponse.setConfidence(0.1);
|
||||
|
||||
return errorResponse;
|
||||
}
|
||||
|
||||
/**
|
||||
* 确定工具选择策略
|
||||
*/
|
||||
private String determineToolChoice(ChatRequest request, LLMChatProperties.ProviderConfig config) {
|
||||
if (request.getToolChoice() != null) {
|
||||
// 验证工具选择值
|
||||
String toolChoice = request.getToolChoice().toString();
|
||||
if (Arrays.asList("none", "auto", "required").contains(toolChoice)) {
|
||||
return toolChoice;
|
||||
} else {
|
||||
log.warn("Invalid tool_choice value: {}, using auto", toolChoice);
|
||||
return "auto";
|
||||
}
|
||||
}
|
||||
|
||||
// 使用配置默认值
|
||||
if (config != null && config.getFunctionCalling() != null) {
|
||||
return config.getFunctionCalling().getToolChoice();
|
||||
}
|
||||
|
||||
return "auto";
|
||||
}
|
||||
|
||||
/**
|
||||
* 确定是否允许并行调用
|
||||
*/
|
||||
private boolean determineParallelCalls(ChatRequest request, LLMChatProperties.ProviderConfig config) {
|
||||
if (request.getParallelToolCalls() != null) {
|
||||
return request.getParallelToolCalls();
|
||||
}
|
||||
|
||||
// 使用配置默认值
|
||||
if (config != null && config.getFunctionCalling() != null) {
|
||||
return config.getFunctionCalling().isParallelExecution();
|
||||
}
|
||||
|
||||
return true; // Qwen默认支持并行调用
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取提供商配置
|
||||
*/
|
||||
|
|
|
|||
|
|
@ -6,6 +6,9 @@ import com.chinaweal.youfool.devops.ai.config.LLMStreamingProperties;
|
|||
import com.chinaweal.youfool.devops.ai.dto.llm.*;
|
||||
import com.chinaweal.youfool.devops.ai.mcp.MCPServer;
|
||||
import com.chinaweal.youfool.devops.ai.mcp.MCPResponse;
|
||||
import com.chinaweal.youfool.devops.ai.mcp.MCPTool;
|
||||
import com.chinaweal.youfool.devops.ai.mcp.dto.MCPToolDefinition;
|
||||
import com.chinaweal.youfool.devops.ai.provider.QwenProvider;
|
||||
import com.chinaweal.youfool.devops.util.ErrorLogUtils;
|
||||
import com.fasterxml.jackson.core.JsonProcessingException;
|
||||
import com.fasterxml.jackson.databind.JsonNode;
|
||||
|
|
@ -45,6 +48,7 @@ public class QwenChatService {
|
|||
private final LLMChatProperties chatProperties;
|
||||
private final LLMStreamingProperties streamingProperties;
|
||||
private final ObjectMapper objectMapper;
|
||||
private final QwenProvider qwenProvider;
|
||||
|
||||
private RestTemplate restTemplate;
|
||||
private Executor asyncExecutor;
|
||||
|
|
@ -92,35 +96,16 @@ public class QwenChatService {
|
|||
// 参数验证和预处理
|
||||
validateAndPreprocessRequest(request);
|
||||
|
||||
// 如果提供了MCP服务器，执行MCP工具调用逻辑
|
||||
List<String> usedMcpTools = new ArrayList<>();
|
||||
if (mcpServer != null && request.getMcpTools() != null && !request.getMcpTools().isEmpty()) {
|
||||
log.info("开始MCP工具调用流程，会话: {}", request.getSessionId());
|
||||
request = processMCPToolCalls(request, mcpServer, usedMcpTools);
|
||||
// 添加MCP工具支持
|
||||
if (mcpServer != null) {
|
||||
enhanceRequestWithMCPTools(request, mcpServer);
|
||||
}
|
||||
|
||||
// 构建API请求
|
||||
Map<String, Object> apiRequest = buildApiRequest(request, false);
|
||||
|
||||
// 发送请求
|
||||
long startTime = System.currentTimeMillis();
|
||||
ResponseEntity<String> response = sendApiRequest(apiRequest);
|
||||
long processingTime = System.currentTimeMillis() - startTime;
|
||||
|
||||
// 解析响应
|
||||
ChatResponse chatResponse = parseApiResponse(response.getBody(), processingTime);
|
||||
|
||||
// 设置MCP工具使用记录
|
||||
if (!usedMcpTools.isEmpty()) {
|
||||
chatResponse.setMcpToolsUsed(usedMcpTools);
|
||||
log.info("MCP工具调用完成，使用的工具: {}", usedMcpTools);
|
||||
}
|
||||
|
||||
// 计算质量评分
|
||||
calculateQualityMetrics(chatResponse, request);
|
||||
// 使用QwenProvider进行聊天完成（已内置MCP和函数调用支持）
|
||||
ChatResponse chatResponse = qwenProvider.chatCompletion(request);
|
||||
|
||||
log.info("Chat completion successful for session: {}, processing time: {}ms",
|
||||
request.getSessionId(), processingTime);
|
||||
request.getSessionId(), chatResponse.getProcessingTimeMs());
|
||||
|
||||
return chatResponse;
|
||||
|
||||
|
|
@ -132,6 +117,58 @@ public class QwenChatService {
|
|||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 增强请求：添加MCP工具支持
|
||||
*/
|
||||
private void enhanceRequestWithMCPTools(ChatRequest request, MCPServer mcpServer) {
|
||||
try {
|
||||
// 获取可用的MCP工具并转换为MCPToolDefinition格式
|
||||
if (mcpServer.getAvailableTools() != null && !mcpServer.getAvailableTools().isEmpty()) {
|
||||
List<MCPToolDefinition> mcpToolDefinitions = convertMCPToolsToDefinitions(mcpServer.getAvailableTools());
|
||||
request.setMcpTools(mcpToolDefinitions);
|
||||
log.debug("Added {} MCP tools to request for session: {}",
|
||||
mcpServer.getAvailableTools().size(), request.getSessionId());
|
||||
}
|
||||
} catch (Exception e) {
|
||||
log.warn("Failed to enhance request with MCP tools: {}", e.getMessage());
|
||||
ErrorLogUtils.saveRuntimeError("QwenChatService.enhanceRequestWithMCPTools", e,
|
||||
"sessionId: " + request.getSessionId());
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 转换MCPTool到MCPToolDefinition
|
||||
*/
|
||||
private List<MCPToolDefinition> convertMCPToolsToDefinitions(List<MCPTool> mcpTools) {
|
||||
List<MCPToolDefinition> definitions = new ArrayList<>();
|
||||
for (MCPTool tool : mcpTools) {
|
||||
MCPToolDefinition definition = new MCPToolDefinition();
|
||||
definition.setName(tool.getName());
|
||||
definition.setDescription(tool.getDescription());
|
||||
definition.setType(tool.getType());
|
||||
|
||||
// 转换inputSchema
|
||||
if (tool.getInputSchema() != null) {
|
||||
MCPToolDefinition.JsonSchema schema = new MCPToolDefinition.JsonSchema();
|
||||
schema.setType("object");
|
||||
|
||||
// 转换属性映射
|
||||
Map<String, MCPToolDefinition.PropertySchema> propertySchemas = new HashMap<>();
|
||||
for (Map.Entry<String, Object> entry : tool.getInputSchema().entrySet()) {
|
||||
MCPToolDefinition.PropertySchema propertySchema = new MCPToolDefinition.PropertySchema();
|
||||
propertySchema.setType("string"); // 简化处理，默认为字符串类型
|
||||
propertySchema.setDescription(entry.getKey());
|
||||
propertySchemas.put(entry.getKey(), propertySchema);
|
||||
}
|
||||
schema.setProperties(propertySchemas);
|
||||
definition.setInputSchema(schema);
|
||||
}
|
||||
|
||||
definitions.add(definition);
|
||||
}
|
||||
return definitions;
|
||||
}
|
||||
|
||||
/**
|
||||
* 流式聊天完成
|
||||
*/
|
||||
|
|
@ -714,8 +751,10 @@ public class QwenChatService {
|
|||
}
|
||||
|
||||
/**
|
||||
* 处理MCP工具调用
|
||||
* 处理MCP工具调用（已迁移到QwenProvider）
|
||||
* @deprecated 使用QwenProvider内置的MCP工具调用支持
|
||||
*/
|
||||
@Deprecated
|
||||
private ChatRequest processMCPToolCalls(ChatRequest request, MCPServer mcpServer, List<String> usedMcpTools) {
|
||||
try {
|
||||
// 敏感信息脱敏的日志记录
|
||||
|
|
|
|||
|
|
@ -511,6 +511,16 @@ ai:
|
|||
headers:
|
||||
Authorization: Bearer ${QWEN_API_KEY:sk-288824ef003e4e02bb963b8b3024b06a}
|
||||
extra-params: {}
|
||||
# 函数调用配置
|
||||
function-calling:
|
||||
enabled: true
|
||||
max-tools: 10
|
||||
parallel-execution: true
|
||||
timeout: 30000
|
||||
tool-choice: "auto"
|
||||
retry-on-failure: true
|
||||
max-retry-attempts: 2
|
||||
validation-enabled: true
|
||||
# 文心一言配置(百度)
|
||||
ernie:
|
||||
enabled: false
|
||||
|
|
|
|||
Loading…
Reference in New Issue