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21:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/article-26/</guid><description>从异常捕获到优雅降级，系统探讨AI Agent错误处理机制的设计原则与实践方案</description></item><item><title>AI Agent的错误处理机制设计</title><link>https://guijiagi.com/posts/b2-e2725e5a/</link><pubDate>Sun, 12 Jul 2026 21:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/b2-e2725e5a/</guid><description>从异常捕获到优雅降级，系统探讨AI Agent错误处理机制的设计原则与实践方案</description></item><item><title>AI Agent的工作流编排：状态机vs自由流程</title><link>https://guijiagi.com/posts/article-23/</link><pubDate>Sun, 12 Jul 2026 20:40:00 +0800</pubDate><guid>https://guijiagi.com/posts/article-23/</guid><description>对比分析状态机驱动和LLM自主驱动两种Agent工作流编排模式，探讨各自适用场景和混合方案</description></item><item><title>AI Agent的工作流编排：状态机vs自由流程</title><link>https://guijiagi.com/posts/b2-7c74540c/</link><pubDate>Sun, 12 Jul 2026 20:40:00 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4</title><link>https://guijiagi.com/posts/moe-architecture-comparison/</link><pubDate>Tue, 30 Jun 2026 11:30:00 +0800</pubDate><guid>https://guijiagi.com/posts/moe-architecture-comparison/</guid><description>深度对比三大MoE架构大模型的技术细节和性能表现</description></item><item><title>Agent性能基准测试：吞吐、延迟、并发全评测</title><link>https://guijiagi.com/posts/agent-performance-benchmark-throughput-latency/</link><pubDate>Tue, 30 Jun 2026 11:25:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-performance-benchmark-throughput-latency/</guid><description>系统介绍Agent系统性能基准测试的方法论与工具，涵盖吞吐量测试、延迟分析、并发压力测试及结果解读</description></item><item><title>Agent故障排查手册：从日志到根因定位</title><link>https://guijiagi.com/posts/agent-troubleshooting-root-cause-analysis/</link><pubDate>Tue, 30 Jun 2026 11:20:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-troubleshooting-root-cause-analysis/</guid><description>系统化讲解Agent系统故障排查的方法论与实战技巧，涵盖日志分析、指标诊断、链路追踪及根因定位</description></item><item><title>Agent自动化运维：从Self-healing到Auto-scaling</title><link>https://guijiagi.com/posts/agent-automated-ops-self-healing-auto-scaling/</link><pubDate>Tue, 30 Jun 2026 11:15:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-automated-ops-self-healing-auto-scaling/</guid><description>全面介绍Agent系统的自动化运维体系，涵盖自愈机制、自动扩缩容、智能告警、故障预测及AIOps实践</description></item><item><title>Agent成本优化实战：从Token到基础设施的全面降本</title><link>https://guijiagi.com/posts/agent-cost-optimization-token-to-infra/</link><pubDate>Tue, 30 Jun 2026 11:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-cost-optimization-token-to-infra/</guid><description>从Token消耗、模型选择、缓存策略到基础设施优化的Agent系统全链路成本优化实战指南</description></item><item><title>Agent链路追踪：OpenTelemetry与Jaeger实战</title><link>https://guijiagi.com/posts/agent-distributed-tracing-opentelemetry-jaeger/</link><pubDate>Tue, 30 Jun 2026 11:05:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-distributed-tracing-opentelemetry-jaeger/</guid><description>以实战视角解析Agent系统中OpenTelemetry链路追踪的完整实现，涵盖Span设计、上下文传播、Jaeger可视化及性能分析</description></item><item><title>Agent日志架构：结构化日志与分布式追踪</title><link>https://guijiagi.com/posts/agent-logging-architecture-distributed-tracing/</link><pubDate>Tue, 30 Jun 2026 11:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-logging-architecture-distributed-tracing/</guid><description>深入探讨Agent系统的日志架构设计，涵盖结构化日志标准、日志聚合、分布式追踪关联及日志分析实践</description></item><item><title>Agent监控告警最佳实践：从指标到告警全链路</title><link>https://guijiagi.com/posts/agent-monitoring-alerting-best-practices/</link><pubDate>Tue, 30 Jun 2026 10:55:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-monitoring-alerting-best-practices/</guid><description>系统阐述Agent系统监控告警体系的设计与实现，涵盖指标体系、告警规则、告警路由、值班排班及告警治理全链路</description></item><item><title>Agent路由架构：从简单路由到智能路由</title><link>https://guijiagi.com/posts/agent-routing-architecture-intelligent-routing/</link><pubDate>Tue, 30 Jun 2026 10:50:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-routing-architecture-intelligent-routing/</guid><description>深入探讨Agent系统的路由架构演进，涵盖规则路由、语义路由、学习型路由的设计与实现，以及多模型智能调度策略</description></item><item><title>Agent限流与熔断：从令牌桶到自适应限流</title><link>https://guijiagi.com/posts/agent-rate-limiting-circuit-breaker/</link><pubDate>Tue, 30 Jun 2026 10:45:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-rate-limiting-circuit-breaker/</guid><description>全面剖析Agent系统的限流与熔断机制设计，涵盖令牌桶算法、自适应限流、多级熔断及降级策略</description></item><item><title>Agent循环检测与超时控制：从死循环到任务超时</title><link>https://guijiagi.com/posts/agent-cycle-detection-timeout-control/</link><pubDate>Tue, 30 Jun 2026 10:40:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-cycle-detection-timeout-control/</guid><description>系统讲解Agent系统中的循环检测算法与超时控制机制，涵盖状态追踪、循环识别、多级超时策略及自恢复方案</description></item><item><title>Agent多租户架构：资源隔离与成本分摊</title><link>https://guijiagi.com/posts/agent-multi-tenant-architecture/</link><pubDate>Tue, 30 Jun 2026 10:35:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-multi-tenant-architecture/</guid><description>深入探讨Agent系统的多租户架构设计，涵盖资源隔离策略、租户配额管理、成本分摊模型及安全边界设计</description></item><item><title>Agent灰度发布与回滚：从金丝雀到蓝绿部署</title><link>https://guijiagi.com/posts/agent-canary-release-blue-green-deployment/</link><pubDate>Tue, 30 Jun 2026 10:30:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-canary-release-blue-green-deployment/</guid><description>系统介绍Agent系统的灰度发布策略，涵盖金丝雀发布、蓝绿部署、流量镜像及自动回滚机制的设计与实现</description></item><item><title>Agent工作流引擎选型：Temporal vs Airflow vs 自研</title><link>https://guijiagi.com/posts/agent-workflow-engine-comparison/</link><pubDate>Tue, 30 Jun 2026 10:25:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-workflow-engine-comparison/</guid><description>深度对比Temporal、Airflow与自研工作流引擎在Agent场景下的优劣，提供选型决策框架与迁移路径</description></item><item><title>Agent可扩展性设计：从单机到K8s集群</title><link>https://guijiagi.com/posts/agent-scalability-single-to-k8s/</link><pubDate>Tue, 30 Jun 2026 10:20:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-scalability-single-to-k8s/</guid><description>全面解析Agent系统从单机部署到K8s集群的扩展路径，涵盖水平扩展、垂直扩展、GPU调度、自动伸缩等关键实践</description></item><item><title>Agent状态管理架构：从有限状态机到持久化状态</title><link>https://guijiagi.com/posts/agent-state-management-architecture/</link><pubDate>Tue, 30 Jun 2026 10:15:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-state-management-architecture/</guid><description>系统梳理Agent状态管理的完整架构体系，涵盖FSM设计、会话状态持久化、分布式状态同步等核心主题</description></item><item><title>Agent消息总线设计：事件驱动与异步通信</title><link>https://guijiagi.com/posts/agent-message-bus-event-driven-architecture/</link><pubDate>Tue, 30 Jun 2026 10:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-message-bus-event-driven-architecture/</guid><description>深度解析Agent系统中事件驱动架构的设计与实现，涵盖消息总线选型、事件流设计、死信队列处理等生产级实践</description></item><item><title>Agent微服务架构：从单体到分布式的演进</title><link>https://guijiagi.com/posts/agent-microservices-architecture-evolution/</link><pubDate>Tue, 30 Jun 2026 10:05:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-microservices-architecture-evolution/</guid><description>深入探讨Agent系统从单体架构向微服务架构演进的完整路径，包含服务拆分策略、通信协议选型及生产实践</description></item><item><title>Agentic RAG：当RAG遇到智能体的架构革命</title><link>https://guijiagi.com/posts/agentic-rag-architecture-revolution/</link><pubDate>Tue, 30 Jun 2026 09:40:00 +0800</pubDate><guid>https://guijiagi.com/posts/agentic-rag-architecture-revolution/</guid><description>Agentic RAG将检索增强生成从被动管道升级为主动决策系统，本文深入解析其架构设计、核心模式与工程实践</description></item><item><title>多模态RAG：图文混合检索的架构设计</title><link>https://guijiagi.com/posts/multimodal-rag-architecture/</link><pubDate>Tue, 30 Jun 2026 09:40:00 +0800</pubDate><guid>https://guijiagi.com/posts/multimodal-rag-architecture/</guid><description>多模态RAG让AI能同时理解和检索图片与文字，本文详解四种架构设计与Claude 4/GPT-5的实践方案</description></item><item><title>Agent编排模式2026：从串行到图式的完整设计指南</title><link>https://guijiagi.com/posts/agent-orchestration-patterns-2026/</link><pubDate>Tue, 30 Jun 2026 09:30:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-orchestration-patterns-2026/</guid><description>系统梳理2026年Agent编排的核心模式，从简单串行到复杂图式编排，包含代码示例、选型决策树和反模式警示</description></item><item><title>Agent记忆系统设计：短期、长期与情景记忆的实现</title><link>https://guijiagi.com/posts/agent-memory-system-design/</link><pubDate>Tue, 30 Jun 2026 09:30:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-memory-system-design/</guid><description>系统讲解Agent记忆系统的三层架构设计，涵盖短期工作记忆、长期语义记忆和情景记忆的实现方案与工程实践</description></item><item><title>Agent可观测性：追踪、日志与指标的统一方案</title><link>https://guijiagi.com/posts/agent-observability-unified-solution/</link><pubDate>Tue, 30 Jun 2026 09:30:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-observability-unified-solution/</guid><description>构建Agent系统的统一可观测性方案，涵盖分布式追踪、结构化日志、实时指标监控和异常检测的工程实践</description></item><item><title>多Agent系统架构设计：通信、协调与冲突解决</title><link>https://guijiagi.com/posts/multi-agent-system-architecture-design/</link><pubDate>Tue, 30 Jun 2026 09:30:00 +0800</pubDate><guid>https://guijiagi.com/posts/multi-agent-system-architecture-design/</guid><description>深入探讨多Agent系统的三大核心问题：Agent间通信协议、任务协调策略及冲突检测与解决机制，附实际系统架构案例</description></item><item><title>MoE混合专家模型深度解析：路由机制与负载均衡</title><link>https://guijiagi.com/posts/moe-expert-routing-load-balance/</link><pubDate>Tue, 30 Jun 2026 09:20:00 +0800</pubDate><guid>https://guijiagi.com/posts/moe-expert-routing-load-balance/</guid><description>深入解析MoE混合专家模型的路由机制、负载均衡策略以及在2026年的最新进展</description></item><item><title>MoE混合专家模型深度解析：路由机制与负载均衡</title><link>https://guijiagi.com/posts/moe-mixture-of-experts-routing-load-balancing/</link><pubDate>Tue, 30 Jun 2026 09:20:00 +0800</pubDate><guid>https://guijiagi.com/posts/moe-mixture-of-experts-routing-load-balancing/</guid><description>深入解析MoE混合专家模型的路由机制、负载均衡策略和训练技巧，包含数学推导和工程实现</description></item><item><title>AI Agent框架2026：LangChain vs AutoGen vs CrewAI深度对比</title><link>https://guijiagi.com/posts/ai-agent-framework-comparison-2026/</link><pubDate>Tue, 30 Jun 2026 09:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/ai-agent-framework-comparison-2026/</guid><description>2026年三大AI Agent框架深度横评：架构设计、多Agent协作、工具调用、记忆系统、生产部署全维度对比与选型指南</description></item><item><title>Agent 日志结构化设计：让每一步都可追溯</title><link>https://guijiagi.com/posts/agent-structured-logging-design/</link><pubDate>Sun, 28 Jun 2026 11:20:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-structured-logging-design/</guid><description>构建Agent结构化日志体系，从日志格式到检索分析，实现Agent执行全链路可追溯</description></item><item><title>Agent 并发控制：从单线程到分布式锁</title><link>https://guijiagi.com/posts/agent-concurrency-control/</link><pubDate>Sun, 28 Jun 2026 11:15:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-concurrency-control/</guid><description>系统化探讨Agent并发控制的架构演进，从协程到分布式锁的完整方案</description></item><item><title>Agent 错误恢复策略：从重试到自修复</title><link>https://guijiagi.com/posts/agent-error-recovery-self-healing/</link><pubDate>Sun, 28 Jun 2026 11:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-error-recovery-self-healing/</guid><description>构建Agent错误恢复体系，从简单重试到自修复机制，确保Agent在故障下持续运行</description></item><item><title>Agent 状态管理：从无状态到有状态的架构演进</title><link>https://guijiagi.com/posts/agent-state-management-evolution/</link><pubDate>Sun, 28 Jun 2026 11:05:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-state-management-evolution/</guid><description>系统化梳理Agent状态管理的架构演进，涵盖会话状态、工作流状态与检查点机制</description></item><item><title>Agent 工具发现机制：从静态注册到动态发现</title><link>https://guijiagi.com/posts/agent-tool-discovery-mcp/</link><pubDate>Sun, 28 Jun 2026 11:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-tool-discovery-mcp/</guid><description>探讨Agent工具发现机制的演进，从静态注册到MCP协议的动态发现，构建灵活的工具生态</description></item><item><title>Hermes Agent 爱马仕智能体技术架构深度解析</title><link>https://guijiagi.com/posts/hermes-agent-architecture/</link><pubDate>Sun, 28 Jun 2026 11:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/hermes-agent-architecture/</guid><description>深度解析 Hermes Agent 爱马仕智能体的技术架构设计、核心组件、推理引擎与应用实践</description></item><item><title>Agent 流式响应架构：SSE/WebSocket/gRPC 选型</title><link>https://guijiagi.com/posts/agent-streaming-architecture-sse-ws-grpc/</link><pubDate>Sun, 28 Jun 2026 10:55:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-streaming-architecture-sse-ws-grpc/</guid><description>深度对比SSE、WebSocket、gRPC三种流式协议在Agent场景下的表现，附选型指南与实现方案</description></item><item><title>Agent 版本管理：Prompt/工具/模型的灰度发布</title><link>https://guijiagi.com/posts/agent-version-management-rollout/</link><pubDate>Sun, 28 Jun 2026 10:45:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-version-management-rollout/</guid><description>构建Agent版本管理体系，实现Prompt、工具、模型的安全灰度发布与回滚机制</description></item><item><title>Agent 降级策略：当 LLM 不可用时的容灾方案</title><link>https://guijiagi.com/posts/agent-degradation-strategy/</link><pubDate>Sun, 28 Jun 2026 10:35:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-degradation-strategy/</guid><description>构建Agent系统的多级容灾体系，从模型降级到规则回退，确保LLM不可用时服务不中断</description></item><item><title>AI Agent 标准化 2026：ISO/IEEE 标准进展</title><link>https://guijiagi.com/posts/ai-agent-standardization-2026-iso-ieee-progress/</link><pubDate>Sun, 28 Jun 2026 10:17:00 +0800</pubDate><guid>https://guijiagi.com/posts/ai-agent-standardization-2026-iso-ieee-progress/</guid><description>2026 年 AI Agent 标准化的全面进展：ISO、IEEE、W3C 等标准组织在 Agent 互操作、安全、评估方面的标准制定</description></item><item><title>Agent 可观测性 2026：OpenTelemetry for LLM 实践</title><link>https://guijiagi.com/posts/agent-observability-otel-2026/</link><pubDate>Sun, 28 Jun 2026 10:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-observability-otel-2026/</guid><description>如何使用OpenTelemetry标准构建LLM Agent的全链路可观测性体系，涵盖Traces、Metrics、Logs三大支柱</description></item><item><title>KV Cache 优化全攻略：从 PagedAttention 到 MLA</title><link>https://guijiagi.com/posts/kv-cache-optimization-pagedattention-to-mla/</link><pubDate>Sun, 28 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/kv-cache-optimization-pagedattention-to-mla/</guid><description>大模型KV Cache优化技术全景解析：PagedAttention、GQA、MQA、MLA原理与实测对比</description></item><item><title>MoE 架构深度对比：DeepSeek V4 vs Qwen3.5 vs Llama 4 Behemoth</title><link>https://guijiagi.com/posts/moe-architecture-deepseek-v4-vs-qwen35-vs-llama4-behemoth/</link><pubDate>Sun, 28 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/moe-architecture-deepseek-v4-vs-qwen35-vs-llama4-behemoth/</guid><description>三大MoE架构大模型的技术深度对比：路由机制、专家设计、推理效率全方位解析</description></item><item><title>大模型推理加速 2026：vLLM vs SGLang vs TensorRT-LLM</title><link>https://guijiagi.com/posts/llm-inference-acceleration-2026-vllm-sglang-tensorrt/</link><pubDate>Sun, 28 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-inference-acceleration-2026-vllm-sglang-tensorrt/</guid><description>三大推理引擎全面对比：vLLM、SGLang、TensorRT-LLM在2026年的性能与功能评测</description></item><item><title>多 Agent 系统设计模式 2026：从编排到涌现</title><link>https://guijiagi.com/posts/multi-agent-design-patterns-2026/</link><pubDate>Sun, 28 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/multi-agent-design-patterns-2026/</guid><description>深入剖析2026年多Agent系统的核心设计模式，从中心化编排到去中心化涌现，涵盖架构选型与工程实践</description></item><item><title>Agent编排引擎核心设计</title><link>https://guijiagi.com/posts/agent-orchestration-engine/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-orchestration-engine/</guid><description>Agent编排引擎核心设计</description></item><item><title>Agent可观测性架构</title><link>https://guijiagi.com/posts/agent-observability-architecture/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-observability-architecture/</guid><description>Agent可观测性架构</description></item><item><title>Agent微服务架构设计</title><link>https://guijiagi.com/posts/agent-microservices/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-microservices/</guid><description>Agent微服务架构设计</description></item><item><title>Agent消息总线架构</title><link>https://guijiagi.com/posts/agent-message-bus/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-message-bus/</guid><description>Agent消息总线架构</description></item><item><title>RAG+Agent融合架构实践</title><link>https://guijiagi.com/posts/rag-agent-fusion-architecture/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/rag-agent-fusion-architecture/</guid><description>RAG+Agent融合架构实践</description></item><item><title>大模型推理流水线设计</title><link>https://guijiagi.com/posts/llm-inference-pipeline/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-inference-pipeline/</guid><description>大模型推理流水线设计</description></item><item><title>大模型推理网关架构</title><link>https://guijiagi.com/posts/llm-inference-gateway/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-inference-gateway/</guid><description>大模型推理网关架构</description></item><item><title>多Agent协作系统架构设计</title><link>https://guijiagi.com/posts/multi-agent-collaboration-architecture/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/multi-agent-collaboration-architecture/</guid><description>多Agent协作系统架构设计</description></item><item><title>多模态Agent架构设计</title><link>https://guijiagi.com/posts/multimodal-agent-architecture/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/multimodal-agent-architecture/</guid><description>多模态Agent架构设计</description></item><item><title>企业级Agent平台架构蓝图</title><link>https://guijiagi.com/posts/enterprise-agent-platform-blueprint/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/enterprise-agent-platform-blueprint/</guid><description>企业级Agent平台架构蓝图</description></item><item><title>智能体工具链架构设计</title><link>https://guijiagi.com/posts/agent-toolchain-architecture/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-toolchain-architecture/</guid><description>智能体工具链架构设计</description></item><item><title>智能体记忆系统架构方案</title><link>https://guijiagi.com/posts/agent-memory-system/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-memory-system/</guid><description>智能体记忆系统架构方案</description></item><item><title>智能体路由分发架构</title><link>https://guijiagi.com/posts/agent-routing-architecture/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-routing-architecture/</guid><description>智能体路由分发架构</description></item><item><title>多模态智能体设计：图文音视一体化架构</title><link>https://guijiagi.com/posts/multimodal-agent-design/</link><pubDate>Fri, 26 Jun 2026 14:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/multimodal-agent-design/</guid><description>探讨多模态智能体的架构设计，涵盖视觉语言模型、语音交互、视频理解与跨模态推理，附完整系统架构与代码实现。</description></item><item><title>多智能体协作模式：从层级到对等网络</title><link>https://guijiagi.com/posts/multi-agent-collaboration-patterns/</link><pubDate>Fri, 26 Jun 2026 14:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/multi-agent-collaboration-patterns/</guid><description>系统梳理多智能体协作的主流模式，从层级式到对等网络，结合 AutoGen、CrewAI 等框架解析架构设计与工程实践。</description></item><item><title>智能体负载均衡与并发控制</title><link>https://guijiagi.com/posts/agent-load-balancing/</link><pubDate>Fri, 26 Jun 2026 14:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-load-balancing/</guid><description>深入探讨 AI 智能体系统中的负载均衡策略与并发控制机制，涵盖流量调度、限流降级和弹性伸缩</description></item><item><title>智能体工具设计模式</title><link>https://guijiagi.com/posts/agent-tool-design-patterns/</link><pubDate>Fri, 26 Jun 2026 14:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-tool-design-patterns/</guid><description>系统梳理 AI 智能体工具设计的核心模式、最佳实践与反模式，助力构建可靠可扩展的工具调用体系</description></item><item><title>智能体工作流编排：从 DAG 到动态执行</title><link>https://guijiagi.com/posts/agent-workflow-orchestration/</link><pubDate>Fri, 26 Jun 2026 14:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-workflow-orchestration/</guid><description>深入探讨智能体工作流编排的演进路径，从静态 DAG 到动态执行图，涵盖 LangGraph 等主流框架的架构设计与实践</description></item><item><title>Agent 可观测性：追踪、指标与日志的统一方案</title><link>https://guijiagi.com/posts/agent-observability/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-observability/</guid><description>系统讲解 Agent 可观测性架构设计，涵盖分布式追踪、指标采集、日志聚合与实时告警</description></item><item><title>AI 推理服务架构：从单机到分布式弹性扩展</title><link>https://guijiagi.com/posts/ai-inference-serving/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/ai-inference-serving/</guid><description>系统讲解 AI 推理服务的架构演进，涵盖模型加载、批处理、GPU 调度与弹性伸缩</description></item><item><title>AI 原生数据库设计：向量检索与结构化查询的融合</title><link>https://guijiagi.com/posts/ai-native-database/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/ai-native-database/</guid><description>系统讲解 AI 原生数据库的核心架构设计，涵盖向量索引、混合查询、存储引擎与性能优化</description></item><item><title>LLM 缓存策略：语义缓存与多级缓存架构</title><link>https://guijiagi.com/posts/llm-caching-strategy/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-caching-strategy/</guid><description>系统解析 LLM 应用的缓存策略，涵盖语义缓存、多级缓存架构与性能优化实践</description></item><item><title>LLM 网关设计：统一接入层与多模型路由</title><link>https://guijiagi.com/posts/llm-gateway-design/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-gateway-design/</guid><description>系统化讲解 LLM 网关的架构设计，涵盖多模型路由、负载均衡、限流降级与成本控制</description></item><item><title>多智能体编排架构：从中心化到去中心化的设计模式</title><link>https://guijiagi.com/posts/multi-agent-orchestration/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/multi-agent-orchestration/</guid><description>深入探讨多智能体系统的编排架构，涵盖中心化、去中心化与混合模式的设计模式、通信协议与工程实践</description></item><item><title>事件驱动 Agent 架构：从 Webhook 到实时响应</title><link>https://guijiagi.com/posts/event-driven-agent/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/event-driven-agent/</guid><description>深入解析事件驱动 Agent 架构设计，涵盖事件总线、状态机、Webhook 集成与实时响应</description></item><item><title>LLM 成本优化深度指南：省下 80% API 费用</title><link>https://guijiagi.com/posts/llm-cost-optimization-deep/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-cost-optimization-deep/</guid><description>从 Token 优化到模型路由再到自部署 TCO 分析，全面覆盖 LLM 成本优化策略</description></item><item><title>LLM 负载均衡设计：多模型多实例的流量调度</title><link>https://guijiagi.com/posts/llm-load-balancing/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-load-balancing/</guid><description>多模型多实例 LLM 服务的负载均衡设计：策略选型、模型感知路由、故障转移与健康检查</description></item><item><title>LLM 可观测性技术栈：Log/Trace/Metric 三位一体</title><link>https://guijiagi.com/posts/llm-observability-stack/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-observability-stack/</guid><description>LLM 生产系统可观测性全栈：结构化日志、分布式链路追踪、关键指标监控与告警规则设计</description></item><item><title>LLM 微调流水线设计：从数据到部署的 MLOps</title><link>https://guijiagi.com/posts/llm-finetune-pipeline/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-finetune-pipeline/</guid><description>完整的 LLM 微调 MLOps 流水线：数据准备、训练配置、评估、版本管理、A/B 测试与灰度发布</description></item><item><title>RAG 生产架构设计：从 POC 到百万级查询</title><link>https://guijiagi.com/posts/rag-production-architecture/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/rag-production-architecture/</guid><description>生产级 RAG 架构全解：嵌入、检索、重排、生成四层设计，向量数据库选型与混合检索策略</description></item><item><title>多区域 LLM 部署：全球低延迟 AI 服务</title><link>https://guijiagi.com/posts/multi-region-llm-deploy/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/multi-region-llm-deploy/</guid><description>多区域 LLM 部署架构：GeoDNS 流量路由、数据合规、模型同步、灾难恢复与成本分析</description></item><item><title>AI 网关架构设计：统一管理多模型 API</title><link>https://guijiagi.com/posts/ai-gateway-architecture/</link><pubDate>Wed, 24 Jun 2026 16:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/ai-gateway-architecture/</guid><description>设计 AI 网关架构，统一管理多个 LLM 提供商的 API，涵盖路由、限流、缓存、计费和灰度发布</description></item><item><title>边缘 AI 架构设计：在手机和 IoT 上运行 LLM</title><link>https://guijiagi.com/posts/edge-ai-architecture/</link><pubDate>Wed, 24 Jun 2026 16:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/edge-ai-architecture/</guid><description>探讨在手机和 IoT 设备上运行 LLM 的架构设计，涵盖模型压缩、端侧推理引擎、NPU 加速和混合云-端架构</description></item><item><title>多租户 LLM 架构设计：SaaS 场景下的隔离与共享</title><link>https://guijiagi.com/posts/multi-tenant-llm-architecture/</link><pubDate>Wed, 24 Jun 2026 16:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/multi-tenant-llm-architecture/</guid><description>深入探讨 SaaS 场景下多租户 LLM 架构设计，涵盖租户隔离模型、共享与专用模型策略、配额计费和安全边界</description></item><item><title>Agent 编排模式：从串行到图式编排</title><link>https://guijiagi.com/posts/agent-orchestration-patterns/</link><pubDate>Wed, 24 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-orchestration-patterns/</guid><description>多 Agent 编排模式详解，含 Router/Supervisor/Hierarchical 模式与代码实现</description></item><item><title>高级 RAG 架构模式：超越简单检索</title><link>https://guijiagi.com/posts/rag-architecture-advanced/</link><pubDate>Wed, 24 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/rag-architecture-advanced/</guid><description>多跳检索、自适应检索、Self-RAG 等高级 RAG 架构模式与选型决策</description></item><item><title>Agent 系统可扩展性设计：从单机到分布式</title><link>https://guijiagi.com/posts/agent-scalability/</link><pubDate>Wed, 24 Jun 2026 14:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-scalability/</guid><description>系统讲解 AI Agent 系统的可扩展性设计，涵盖水平扩展、状态外部化、无状态 Agent、负载均衡与分布式追踪</description></item><item><title>实时 Agent 架构设计：低延迟智能体</title><link>https://guijiagi.com/posts/realtime-agent-architecture/</link><pubDate>Wed, 24 Jun 2026 14:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/realtime-agent-architecture/</guid><description>探讨实时 Agent 架构设计，涵盖 WebSocket/SSE 流式输出、流式推理、管道并行、延迟优化与边缘部署策略</description></item><item><title>Agent 记忆系统设计：从短期上下文到长期知识</title><link>https://guijiagi.com/posts/agent-memory-system-advanced/</link><pubDate>Wed, 24 Jun 2026 10:30:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-memory-system-advanced/</guid><description>深入 Agent 记忆系统的架构设计，涵盖工作记忆、情景记忆和语义记忆</description></item><item><title>RAG 架构设计模式：从朴素 RAG 到模块化 RAG 的演进</title><link>https://guijiagi.com/posts/rag-architecture-patterns/</link><pubDate>Wed, 24 Jun 2026 10:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/rag-architecture-patterns/</guid><description>系统梳理 RAG 架构的演进路径、设计模式和工程选型</description></item><item><title>多 Agent 系统架构设计：从单一智能体到群体智能</title><link>https://guijiagi.com/posts/multi-agent-architecture/</link><pubDate>Wed, 24 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/multi-agent-architecture/</guid><description>多 Agent 系统的架构模式、通信机制、冲突处理和工程实践</description></item><item><title>Agent 记忆系统 2026：从短期上下文到持久记忆的工程实践</title><link>https://guijiagi.com/posts/agent-%E8%AE%B0%E5%BF%86%E7%B3%BB%E7%BB%9F-2026-%E4%BB%8E%E7%9F%AD%E6%9C%9F%E4%B8%8A%E4%B8%8B%E6%96%87%E5%88%B0%E6%8C%81%E4%B9%85%E8%AE%B0%E5%BF%86%E7%9A%84%E5%B7%A5%E7%A8%8B%E5%AE%9E%E8%B7%B5/</link><pubDate>Sat, 20 Jun 2026 00:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-%E8%AE%B0%E5%BF%86%E7%B3%BB%E7%BB%9F-2026-%E4%BB%8E%E7%9F%AD%E6%9C%9F%E4%B8%8A%E4%B8%8B%E6%96%87%E5%88%B0%E6%8C%81%E4%B9%85%E8%AE%B0%E5%BF%86%E7%9A%84%E5%B7%A5%E7%A8%8B%E5%AE%9E%E8%B7%B5/</guid><description>深度解析 2026 年 Agent 记忆系统的最佳实践，涵盖向量数据库、知识图谱、分层记忆架构与端到端实现方案</description></item><item><title>多智能体协作：从「单打独斗」到「团队作战」</title><link>https://guijiagi.com/posts/multi-agent-collaboration/</link><pubDate>Tue, 16 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/multi-agent-collaboration/</guid><description>单个 Agent 能力有限，多个 Agent 协作能解决更复杂的问题。本文探讨多智能体协作的核心模式、通信协议和工程挑战。</description></item></channel></rss>