From 88b3f09a702f8f8515af43bc14242ecca2a667db Mon Sep 17 00:00:00 2001
From: zhou zhou <3272660260@qq.com>
Date: 星期四, 19 三月 2026 11:10:45 +0800
Subject: [PATCH] #AI2. 对话执行链路治理
---
rsf-server/src/main/java/com/vincent/rsf/server/ai/service/impl/AiChatServiceImpl.java | 256 ++++++++++++++++++++++++++++++++++++++++++++++-----
1 files changed, 230 insertions(+), 26 deletions(-)
diff --git a/rsf-server/src/main/java/com/vincent/rsf/server/ai/service/impl/AiChatServiceImpl.java b/rsf-server/src/main/java/com/vincent/rsf/server/ai/service/impl/AiChatServiceImpl.java
index 7fc31fc..05dc09b 100644
--- a/rsf-server/src/main/java/com/vincent/rsf/server/ai/service/impl/AiChatServiceImpl.java
+++ b/rsf-server/src/main/java/com/vincent/rsf/server/ai/service/impl/AiChatServiceImpl.java
@@ -5,15 +5,19 @@
import com.vincent.rsf.framework.exception.CoolException;
import com.vincent.rsf.server.ai.config.AiDefaults;
import com.vincent.rsf.server.ai.dto.AiChatDoneDto;
+import com.vincent.rsf.server.ai.dto.AiChatErrorDto;
import com.vincent.rsf.server.ai.dto.AiChatMemoryDto;
import com.vincent.rsf.server.ai.dto.AiChatMessageDto;
import com.vincent.rsf.server.ai.dto.AiChatRequest;
import com.vincent.rsf.server.ai.dto.AiChatRuntimeDto;
+import com.vincent.rsf.server.ai.dto.AiChatStatusDto;
import com.vincent.rsf.server.ai.dto.AiChatSessionDto;
import com.vincent.rsf.server.ai.dto.AiResolvedConfig;
import com.vincent.rsf.server.ai.entity.AiParam;
import com.vincent.rsf.server.ai.entity.AiPrompt;
import com.vincent.rsf.server.ai.entity.AiChatSession;
+import com.vincent.rsf.server.ai.enums.AiErrorCategory;
+import com.vincent.rsf.server.ai.exception.AiChatException;
import com.vincent.rsf.server.ai.service.AiChatService;
import com.vincent.rsf.server.ai.service.AiChatMemoryService;
import com.vincent.rsf.server.ai.service.AiConfigResolverService;
@@ -41,6 +45,7 @@
import org.springframework.context.support.GenericApplicationContext;
import org.springframework.http.MediaType;
import org.springframework.http.client.SimpleClientHttpRequestFactory;
+import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;
import org.springframework.web.client.RestClient;
@@ -49,6 +54,7 @@
import reactor.core.publisher.Flux;
import java.io.IOException;
+import java.time.Instant;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.LinkedHashMap;
@@ -56,6 +62,7 @@
import java.util.Map;
import java.util.Objects;
import java.util.concurrent.CompletableFuture;
+import java.util.concurrent.Executor;
import java.util.concurrent.atomic.AtomicReference;
@Slf4j
@@ -69,12 +76,15 @@
private final GenericApplicationContext applicationContext;
private final ObservationRegistry observationRegistry;
private final ObjectMapper objectMapper;
+ @Qualifier("aiChatTaskExecutor")
+ private final Executor aiChatTaskExecutor;
@Override
public AiChatRuntimeDto getRuntime(String promptCode, Long sessionId, Long userId, Long tenantId) {
- AiResolvedConfig config = aiConfigResolverService.resolve(promptCode);
+ AiResolvedConfig config = aiConfigResolverService.resolve(promptCode, tenantId);
AiChatMemoryDto memory = aiChatMemoryService.getMemory(userId, tenantId, config.getPromptCode(), sessionId);
return AiChatRuntimeDto.builder()
+ .requestId(null)
.sessionId(memory.getSessionId())
.promptCode(config.getPromptCode())
.promptName(config.getPrompt().getName())
@@ -89,7 +99,7 @@
@Override
public List<AiChatSessionDto> listSessions(String promptCode, Long userId, Long tenantId) {
- AiResolvedConfig config = aiConfigResolverService.resolve(promptCode);
+ AiResolvedConfig config = aiConfigResolverService.resolve(promptCode, tenantId);
return aiChatMemoryService.listSessions(userId, tenantId, config.getPromptCode());
}
@@ -101,18 +111,28 @@
@Override
public SseEmitter stream(AiChatRequest request, Long userId, Long tenantId) {
SseEmitter emitter = new SseEmitter(AiDefaults.SSE_TIMEOUT_MS);
- CompletableFuture.runAsync(() -> doStream(request, userId, tenantId, emitter));
+ CompletableFuture.runAsync(() -> doStream(request, userId, tenantId, emitter), aiChatTaskExecutor);
return emitter;
}
private void doStream(AiChatRequest request, Long userId, Long tenantId, SseEmitter emitter) {
+ String requestId = request.getRequestId();
+ long startedAt = System.currentTimeMillis();
+ AtomicReference<Long> firstTokenAtRef = new AtomicReference<>();
+ Long sessionId = request.getSessionId();
+ String model = null;
try {
- AiResolvedConfig config = aiConfigResolverService.resolve(request.getPromptCode());
- AiChatSession session = aiChatMemoryService.resolveSession(userId, tenantId, config.getPromptCode(), request.getSessionId(), resolveTitleSeed(request.getMessages()));
- AiChatMemoryDto memory = aiChatMemoryService.getMemory(userId, tenantId, config.getPromptCode(), session.getId());
+ ensureIdentity(userId, tenantId);
+ AiResolvedConfig config = resolveConfig(request, tenantId);
+ final String resolvedModel = config.getAiParam().getModel();
+ model = resolvedModel;
+ AiChatSession session = resolveSession(request, userId, tenantId, config.getPromptCode());
+ sessionId = session.getId();
+ AiChatMemoryDto memory = loadMemory(userId, tenantId, config.getPromptCode(), session.getId());
List<AiChatMessageDto> mergedMessages = mergeMessages(memory.getPersistedMessages(), request.getMessages());
- try (McpMountRuntimeFactory.McpMountRuntime runtime = mcpMountRuntimeFactory.create(config.getMcpMounts(), userId)) {
- emit(emitter, "start", AiChatRuntimeDto.builder()
+ try (McpMountRuntimeFactory.McpMountRuntime runtime = createRuntime(config, userId)) {
+ emitStrict(emitter, "start", AiChatRuntimeDto.builder()
+ .requestId(requestId)
.sessionId(session.getId())
.promptCode(config.getPromptCode())
.promptName(config.getPrompt().getName())
@@ -123,6 +143,16 @@
.mountErrors(runtime.getErrors())
.persistedMessages(memory.getPersistedMessages())
.build());
+ emitSafely(emitter, "status", AiChatStatusDto.builder()
+ .requestId(requestId)
+ .sessionId(session.getId())
+ .status("STARTED")
+ .model(resolvedModel)
+ .timestamp(Instant.now().toEpochMilli())
+ .elapsedMs(0L)
+ .build());
+ log.info("AI chat started, requestId={}, userId={}, tenantId={}, sessionId={}, model={}",
+ requestId, userId, tenantId, session.getId(), resolvedModel);
Prompt prompt = new Prompt(
buildPromptMessages(mergedMessages, config.getPrompt(), request.getMetadata()),
@@ -130,39 +160,172 @@
);
OpenAiChatModel chatModel = createChatModel(config.getAiParam());
if (Boolean.FALSE.equals(config.getAiParam().getStreamingEnabled())) {
- ChatResponse response = chatModel.call(prompt);
+ ChatResponse response = invokeChatCall(chatModel, prompt);
String content = extractContent(response);
aiChatMemoryService.saveRound(session, userId, tenantId, request.getMessages(), content);
if (StringUtils.hasText(content)) {
- emit(emitter, "delta", buildMessagePayload("content", content));
+ markFirstToken(firstTokenAtRef, emitter, requestId, session.getId(), resolvedModel, startedAt);
+ emitStrict(emitter, "delta", buildMessagePayload("requestId", requestId, "content", content));
}
- emitDone(emitter, response.getMetadata(), config.getAiParam().getModel(), session.getId());
+ emitDone(emitter, requestId, response.getMetadata(), config.getAiParam().getModel(), session.getId(), startedAt, firstTokenAtRef.get());
+ emitSafely(emitter, "status", buildTerminalStatus(requestId, session.getId(), "COMPLETED", resolvedModel, startedAt, firstTokenAtRef.get()));
+ log.info("AI chat completed, requestId={}, sessionId={}, elapsedMs={}, firstTokenLatencyMs={}",
+ requestId, session.getId(), System.currentTimeMillis() - startedAt, resolveFirstTokenLatency(startedAt, firstTokenAtRef.get()));
emitter.complete();
return;
}
- Flux<ChatResponse> responseFlux = chatModel.stream(prompt);
+ Flux<ChatResponse> responseFlux = invokeChatStream(chatModel, prompt);
AtomicReference<ChatResponseMetadata> lastMetadata = new AtomicReference<>();
StringBuilder assistantContent = new StringBuilder();
- responseFlux.doOnNext(response -> {
+ try {
+ responseFlux.doOnNext(response -> {
lastMetadata.set(response.getMetadata());
String content = extractContent(response);
if (StringUtils.hasText(content)) {
+ markFirstToken(firstTokenAtRef, emitter, requestId, session.getId(), resolvedModel, startedAt);
assistantContent.append(content);
- emit(emitter, "delta", buildMessagePayload("content", content));
+ emitStrict(emitter, "delta", buildMessagePayload("requestId", requestId, "content", content));
}
})
- .doOnError(error -> emit(emitter, "error", buildMessagePayload("message", error == null ? "AI 瀵硅瘽澶辫触" : error.getMessage())))
.blockLast();
+ } catch (Exception e) {
+ throw buildAiException("AI_MODEL_STREAM_ERROR", AiErrorCategory.MODEL, "MODEL_STREAM",
+ e == null ? "AI 妯″瀷娴佸紡璋冪敤澶辫触" : e.getMessage(), e);
+ }
aiChatMemoryService.saveRound(session, userId, tenantId, request.getMessages(), assistantContent.toString());
- emitDone(emitter, lastMetadata.get(), config.getAiParam().getModel(), session.getId());
+ emitDone(emitter, requestId, lastMetadata.get(), config.getAiParam().getModel(), session.getId(), startedAt, firstTokenAtRef.get());
+ emitSafely(emitter, "status", buildTerminalStatus(requestId, session.getId(), "COMPLETED", resolvedModel, startedAt, firstTokenAtRef.get()));
+ log.info("AI chat completed, requestId={}, sessionId={}, elapsedMs={}, firstTokenLatencyMs={}",
+ requestId, session.getId(), System.currentTimeMillis() - startedAt, resolveFirstTokenLatency(startedAt, firstTokenAtRef.get()));
emitter.complete();
}
+ } catch (AiChatException e) {
+ handleStreamFailure(emitter, requestId, sessionId, model, startedAt, firstTokenAtRef.get(), e);
} catch (Exception e) {
- log.error("AI stream error", e);
- emit(emitter, "error", buildMessagePayload("message", e == null ? "AI 瀵硅瘽澶辫触" : e.getMessage()));
- emitter.completeWithError(e);
+ handleStreamFailure(emitter, requestId, sessionId, model, startedAt, firstTokenAtRef.get(),
+ buildAiException("AI_INTERNAL_ERROR", AiErrorCategory.INTERNAL, "INTERNAL",
+ e == null ? "AI 瀵硅瘽澶辫触" : e.getMessage(), e));
+ } finally {
+ log.debug("AI chat stream finished, requestId={}", requestId);
}
+ }
+
+ private void ensureIdentity(Long userId, Long tenantId) {
+ if (userId == null) {
+ throw buildAiException("AI_AUTH_USER_MISSING", AiErrorCategory.AUTH, "AUTH_VALIDATE", "褰撳墠鐧诲綍鐢ㄦ埛涓嶅瓨鍦�", null);
+ }
+ if (tenantId == null) {
+ throw buildAiException("AI_AUTH_TENANT_MISSING", AiErrorCategory.AUTH, "AUTH_VALIDATE", "褰撳墠绉熸埛涓嶅瓨鍦�", null);
+ }
+ }
+
+ private AiResolvedConfig resolveConfig(AiChatRequest request, Long tenantId) {
+ try {
+ return aiConfigResolverService.resolve(request.getPromptCode(), tenantId);
+ } catch (Exception e) {
+ throw buildAiException("AI_CONFIG_RESOLVE_ERROR", AiErrorCategory.CONFIG, "CONFIG_RESOLVE",
+ e == null ? "AI 閰嶇疆瑙ｆ瀽澶辫触" : e.getMessage(), e);
+ }
+ }
+
+ private AiChatSession resolveSession(AiChatRequest request, Long userId, Long tenantId, String promptCode) {
+ try {
+ return aiChatMemoryService.resolveSession(userId, tenantId, promptCode, request.getSessionId(), resolveTitleSeed(request.getMessages()));
+ } catch (Exception e) {
+ throw buildAiException("AI_SESSION_RESOLVE_ERROR", AiErrorCategory.REQUEST, "SESSION_RESOLVE",
+ e == null ? "AI 浼氳瘽瑙ｆ瀽澶辫触" : e.getMessage(), e);
+ }
+ }
+
+ private AiChatMemoryDto loadMemory(Long userId, Long tenantId, String promptCode, Long sessionId) {
+ try {
+ return aiChatMemoryService.getMemory(userId, tenantId, promptCode, sessionId);
+ } catch (Exception e) {
+ throw buildAiException("AI_MEMORY_LOAD_ERROR", AiErrorCategory.REQUEST, "MEMORY_LOAD",
+ e == null ? "AI 浼氳瘽璁板繂鍔犺浇澶辫触" : e.getMessage(), e);
+ }
+ }
+
+ private McpMountRuntimeFactory.McpMountRuntime createRuntime(AiResolvedConfig config, Long userId) {
+ try {
+ return mcpMountRuntimeFactory.create(config.getMcpMounts(), userId);
+ } catch (Exception e) {
+ throw buildAiException("AI_MCP_MOUNT_ERROR", AiErrorCategory.MCP, "MCP_MOUNT",
+ e == null ? "MCP 鎸傝浇澶辫触" : e.getMessage(), e);
+ }
+ }
+
+ private ChatResponse invokeChatCall(OpenAiChatModel chatModel, Prompt prompt) {
+ try {
+ return chatModel.call(prompt);
+ } catch (Exception e) {
+ throw buildAiException("AI_MODEL_CALL_ERROR", AiErrorCategory.MODEL, "MODEL_CALL",
+ e == null ? "AI 妯″瀷璋冪敤澶辫触" : e.getMessage(), e);
+ }
+ }
+
+ private Flux<ChatResponse> invokeChatStream(OpenAiChatModel chatModel, Prompt prompt) {
+ try {
+ return chatModel.stream(prompt);
+ } catch (Exception e) {
+ throw buildAiException("AI_MODEL_STREAM_ERROR", AiErrorCategory.MODEL, "MODEL_STREAM_INIT",
+ e == null ? "AI 妯″瀷娴佸紡璋冪敤澶辫触" : e.getMessage(), e);
+ }
+ }
+
+ private void markFirstToken(AtomicReference<Long> firstTokenAtRef, SseEmitter emitter, String requestId, Long sessionId, String model, long startedAt) {
+ if (!firstTokenAtRef.compareAndSet(null, System.currentTimeMillis())) {
+ return;
+ }
+ emitSafely(emitter, "status", AiChatStatusDto.builder()
+ .requestId(requestId)
+ .sessionId(sessionId)
+ .status("FIRST_TOKEN")
+ .model(model)
+ .timestamp(Instant.now().toEpochMilli())
+ .elapsedMs(System.currentTimeMillis() - startedAt)
+ .firstTokenLatencyMs(resolveFirstTokenLatency(startedAt, firstTokenAtRef.get()))
+ .build());
+ }
+
+ private AiChatStatusDto buildTerminalStatus(String requestId, Long sessionId, String status, String model, long startedAt, Long firstTokenAt) {
+ return AiChatStatusDto.builder()
+ .requestId(requestId)
+ .sessionId(sessionId)
+ .status(status)
+ .model(model)
+ .timestamp(Instant.now().toEpochMilli())
+ .elapsedMs(System.currentTimeMillis() - startedAt)
+ .firstTokenLatencyMs(resolveFirstTokenLatency(startedAt, firstTokenAt))
+ .build();
+ }
+
+ private Long resolveFirstTokenLatency(long startedAt, Long firstTokenAt) {
+ return firstTokenAt == null ? null : Math.max(0L, firstTokenAt - startedAt);
+ }
+
+ private void handleStreamFailure(SseEmitter emitter, String requestId, Long sessionId, String model, long startedAt, Long firstTokenAt, AiChatException exception) {
+ if (isClientAbortException(exception)) {
+ log.warn("AI chat aborted by client, requestId={}, sessionId={}, stage={}, message={}",
+ requestId, sessionId, exception.getStage(), exception.getMessage());
+ emitSafely(emitter, "status", buildTerminalStatus(requestId, sessionId, "ABORTED", model, startedAt, firstTokenAt));
+ emitter.completeWithError(exception);
+ return;
+ }
+ log.error("AI chat failed, requestId={}, sessionId={}, category={}, stage={}, message={}",
+ requestId, sessionId, exception.getCategory(), exception.getStage(), exception.getMessage(), exception);
+ emitSafely(emitter, "status", buildTerminalStatus(requestId, sessionId, "FAILED", model, startedAt, firstTokenAt));
+ emitSafely(emitter, "error", AiChatErrorDto.builder()
+ .requestId(requestId)
+ .sessionId(sessionId)
+ .code(exception.getCode())
+ .category(exception.getCategory().name())
+ .stage(exception.getStage())
+ .message(exception.getMessage())
+ .timestamp(Instant.now().toEpochMilli())
+ .build());
+ emitter.completeWithError(exception);
}
private OpenAiChatModel createChatModel(AiParam aiParam) {
@@ -203,7 +366,7 @@
private OpenAiChatOptions buildChatOptions(AiParam aiParam, ToolCallback[] toolCallbacks, Long userId, Map<String, Object> metadata) {
if (userId == null) {
- throw new CoolException("褰撳墠鐧诲綍鐢ㄦ埛涓嶅瓨鍦�");
+ throw buildAiException("AI_AUTH_USER_MISSING", AiErrorCategory.AUTH, "OPTIONS_BUILD", "褰撳墠鐧诲綍鐢ㄦ埛涓嶅瓨鍦�", null);
}
OpenAiChatOptions.Builder builder = OpenAiChatOptions.builder()
.model(aiParam.getModel())
@@ -319,31 +482,72 @@
return response.getResult().getOutput().getText();
}
- private void emitDone(SseEmitter emitter, ChatResponseMetadata metadata, String fallbackModel, Long sessionId) {
+ private void emitDone(SseEmitter emitter, String requestId, ChatResponseMetadata metadata, String fallbackModel, Long sessionId, long startedAt, Long firstTokenAt) {
Usage usage = metadata == null ? null : metadata.getUsage();
- emit(emitter, "done", AiChatDoneDto.builder()
+ emitStrict(emitter, "done", AiChatDoneDto.builder()
+ .requestId(requestId)
.sessionId(sessionId)
.model(metadata != null && StringUtils.hasText(metadata.getModel()) ? metadata.getModel() : fallbackModel)
+ .elapsedMs(System.currentTimeMillis() - startedAt)
+ .firstTokenLatencyMs(resolveFirstTokenLatency(startedAt, firstTokenAt))
.promptTokens(usage == null ? null : usage.getPromptTokens())
.completionTokens(usage == null ? null : usage.getCompletionTokens())
.totalTokens(usage == null ? null : usage.getTotalTokens())
.build());
}
- private Map<String, String> buildMessagePayload(String key, String value) {
+ private Map<String, String> buildMessagePayload(String... keyValues) {
Map<String, String> payload = new LinkedHashMap<>();
- payload.put(key, value == null ? "" : value);
+ if (keyValues == null || keyValues.length == 0) {
+ return payload;
+ }
+ if (keyValues.length % 2 != 0) {
+ throw new CoolException("娑堟伅杞借嵎鍙傛暟蹇呴』鎴愬鍑虹幇");
+ }
+ for (int i = 0; i < keyValues.length; i += 2) {
+ payload.put(keyValues[i], keyValues[i + 1] == null ? "" : keyValues[i + 1]);
+ }
return payload;
}
- private void emit(SseEmitter emitter, String eventName, Object payload) {
+ private void emitStrict(SseEmitter emitter, String eventName, Object payload) {
try {
String data = objectMapper.writeValueAsString(payload);
emitter.send(SseEmitter.event()
.name(eventName)
.data(data, MediaType.APPLICATION_JSON));
} catch (IOException e) {
- throw new CoolException("SSE 杈撳嚭澶辫触: " + e.getMessage());
+ throw buildAiException("AI_SSE_EMIT_ERROR", AiErrorCategory.STREAM, "SSE_EMIT", "SSE 杈撳嚭澶辫触: " + e.getMessage(), e);
}
}
+
+ private void emitSafely(SseEmitter emitter, String eventName, Object payload) {
+ try {
+ emitStrict(emitter, eventName, payload);
+ } catch (Exception e) {
+ log.warn("AI SSE event emit skipped, eventName={}, message={}", eventName, e.getMessage());
+ }
+ }
+
+ private AiChatException buildAiException(String code, AiErrorCategory category, String stage, String message, Throwable cause) {
+ return new AiChatException(code, category, stage, message, cause);
+ }
+
+ private boolean isClientAbortException(Throwable throwable) {
+ Throwable current = throwable;
+ while (current != null) {
+ String message = current.getMessage();
+ if (message != null) {
+ String normalized = message.toLowerCase();
+ if (normalized.contains("broken pipe")
+ || normalized.contains("connection reset")
+ || normalized.contains("forcibly closed")
+ || normalized.contains("abort")) {
+ return true;
+ }
+ }
+ current = current.getCause();
+ }
+ return false;
+ }
}
--
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