翻译记录

• Introducing Dynamic Subagents in Deep Agents
  https://www.langchain.com/blog/introducing-dynamic-subagents-in-deep-agents
• Crafting an agent team that still includes me – Richard Seroter's Architecture Musings
  https://seroter.com/2026/06/28/crafting-an-agent-team-that-still-includes-me/
• Untitled
  https://www.sitepoint.com/headroom-the-tokencompression-cli-that-cuts-your-llm-api-costs-by-6095/
• Prompt Compression and Cache Tuning: Cut Your LLM API Costs by 60%
  https://www.sitepoint.com/prompt-compression-cache-tuning-llm-api-costs/
• Agent Memory – O’Reilly
  https://www.oreilly.com/radar/agent-memory/
• Million PDFs: Building a Modern Document Infrastructure with Rust and Typst - InfoQ
  https://www.infoq.com/presentations/document-infrastructure-rust-typst/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global
• Best AI observability platform in 2026 | Pydantic Logfire
  https://pydantic.dev/articles/best-ai-observability-platform
• From Traces to Insights: Understanding Agent Behavior at Scale
  https://www.langchain.com/blog/from-traces-to-insights-understanding-agent-behavior-at-scale
• Agent Engineering: A New Discipline
  https://www.langchain.com/blog/agent-engineering-a-new-discipline
• Context Engineering
  https://www.langchain.com/blog/context-engineering-for-agents
• Doubling down on Deep Agents
  https://www.langchain.com/blog/doubling-down-on-deepagents
• The best response to AI slop, infinite advice, and online noise is from Robin Williams
  https://jayacunzo.com/blog/your-move-chief
• Software Engineering in the Age of AI
  https://adiamond.me/2026/06/software-engineering-in-the-age-of-ai/
• Evaluating Deep Agents: Our Learnings
  https://www.langchain.com/blog/evaluating-deep-agents-our-learnings
• Building Multi-Agent Applications with Deep Agents
  https://www.langchain.com/blog/building-multi-agent-applications-with-deep-agents
• Context Management for Deep Agents
  https://www.langchain.com/blog/context-management-for-deepagents
• How to Debug & Evaluate AI Agents with Observability — LangChain Guide
  https://www.langchain.com/blog/agent-observability-powers-agent-evaluation
• Improving Deep Agents with harness engineering
  https://www.langchain.com/blog/improving-deep-agents-with-harness-engineering
• Agent Observability: How to Monitor and Evaluate LLM Agents in Production
  https://www.langchain.com/blog/production-monitoring
• Knowledge Distillation of Black-Box Large Language Models
  https://arxiv.org/html/2401.07013v2
• The Cost YAGNI Was Never About - by Kent Beck
  https://newsletter.kentbeck.com/p/the-cost-yagni-was-never-about
• Agent Evaluation Readiness Checklist
  https://www.langchain.com/blog/agent-evaluation-readiness-checklist#the-full-checklist
• Benchmarking Multi-Agent Architectures
  https://www.langchain.com/blog/benchmarking-multi-agent-architectures
• Designing Efficient Verifiers for Legal Agents
  https://www.langchain.com/blog/designing-efficient-verifiers-for-legal-agents
• https://www.langchain.com/blog/financial-ai-that-investigates-macro-trends-eu-economic-analysis-with-you-com-and-langchain
  https://www.langchain.com/blog/financial-ai-that-investigates-macro-trends-eu-economic-analysis-with-you-com-and-langchain
• https://www.langchain.com/blog/building-a-company-due-diligence-agent-with-deep-agents-langsmith-and-parallel
  https://www.langchain.com/blog/building-a-company-due-diligence-agent-with-deep-agents-langsmith-and-parallel
• How LangSmith and LangChain OSS Help You Meet EU AI Act Requirements
  https://www.langchain.com/blog/langsmith-langchain-oss-eu-ai-act
• Human judgment in the agent improvement loop
  https://www.langchain.com/blog/human-judgment-in-the-agent-improvement-loop
• How to Detect Hallucinations in Your RAG Pipeline (with Code Examples) | OpenLIT | OpenTelemetry-native GenAI and LLM Application Observability
  https://openlit.io/blogs/how-to-detect-hallucinations-in-your-rag-pipeline
• Prompt Caching with Deep Agents
  https://www.langchain.com/blog/deep-agents-prompt-caching