6 posts tagged with “production”
Most LLM apps send every request to the most expensive model and re-pay for every duplicate question. The LLM Gateway pattern fixes both — with smart routing, semantic caching, and budget guards. Here is the production architecture, with code.
Single-agent architectures hit a wall the moment your task needs planning, research, and execution in parallel. Multi-agent systems solve this — but most tutorials skip the hard parts. This guide doesn't.
Your agent framework handles the happy path. Erlang's supervision trees handled telecom uptime for 40 years. Here's how to apply the same 'let it crash' philosophy to make AI agents self-healing.
Step-by-step tutorial with complete Python code to build a production-ready event-sourced AI agent — orchestrator, planner, policy guard, tool executor, and replay engine.
Most AI agents fail in production because they are not replayable, testable, or safe. Learn an event-sourced architecture that gives your agents deterministic behavior, cost control, and enterprise-grade reliability.
Learn how to build Retrieval-Augmented Generation systems that actually work in production — from chunking strategies to evaluation frameworks.
