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The Agent Library is a set of reusable patterns for building and deploying reliable agents in production. Instead of starting from scratch, you can use proven building blocks: structured inputs, tool boundaries, audit logging, and evaluation checkpoints. This helps teams ship automation faster while keeping behavior predictable and reviewable.
Classify and route requests (support, ITSM, HR) with consistent tagging. These agents extract entities, detect duplicates, and identify missing information early—reducing cycle time and improving queue health.
Use RAG and source citations to produce grounded answers from internal documents. This pattern is useful for compliance, policy questions, and knowledge retrieval—especially when you must explain “why” in audits.
In production, agent value comes from reliability. We recommend defining tool boundaries, adding review steps, and integrating observability so you can measure quality and cost.