AI Agents · Page 5
Thông số và tài liệu đọc được bởi máy, thiết kế riêng cho trình phân tích cú pháp và bot AI.
72 articles · Page 5 of 6
Agent Tool Result Caching Spec: Keys, TTL, Invalidation
Specification for caching AI agent tool-call results: keying strategies, TTL policies by idempotency class, cache-busting, and invalidation hooks for repeatable agent runs.
Agent Tool Side-Effect Disclosure Specification
Side-effect disclosure annotates agent tools with read/write semantics, irreversibility, and risk class — letting the agent runtime branch between auto-execute, confirmation, and block.
Agent Tool Use Documentation Specification
Specification for documenting tools so AI agents can discover, understand, and correctly invoke them: structured schemas, examples, error semantics, and idempotency hints.
Agent Trace Instrumentation Specification: OpenTelemetry for AI Agents
Specification for instrumenting AI agents with OpenTelemetry: span hierarchy, gen_ai semantic conventions, privacy-aware capture, sampling, and vendor integration.
Agent Trajectory Documentation Spec: Designing Replay-Ready Docs for Browser Agents
Specification for replay-ready browser agent trajectory documentation: step manifests, selectors, verification steps, and citation-friendly source mapping.
Agent Vector Store Integration Specification: Pinecone, Weaviate, and pgvector
Production specification for agent vector store integration covering Pinecone, Weaviate, pgvector, indexing, hybrid search, and consistency.
Agent Versioning Documentation Specification
Specification for documenting agent tool and skill versions: semver vs date-based schemes, deprecation metadata, lifecycle states, and version negotiation patterns.
AI Agent Optimization: Technical Guide
Technical implementation guide for optimizing websites for AI agent discovery, evaluation, and interaction. Covers discovery, understanding, and action layers.
AI Agent Use Cases by Industry
Reference of AI agent use cases by industry. Maps agent actions to required content, schema markup, and APIs across e-commerce, travel, healthcare, finance, and SaaS.
AI Agents and Content: Preparing for Agent-Driven Search
How to prepare your content for AI agent consumption — autonomous systems that search, evaluate, and act on web content programmatically.
Browser Agent Crawl Etiquette: A Specification for Polite Autonomous AI Browsing
A specification defining how browser-based AI agents should identify themselves, throttle requests, and respect publisher signals to maintain citation trust.
Claude Skills vs OpenAI GPTs vs Gemini Gems: Agent Distribution Platforms Compared
Claude Skills vs OpenAI GPTs vs Gemini Gems compared across discoverability, tool access, distribution, and citation rules for builders.