
Deep Agents is a general-purpose agent that supports prompt caching across major model providers, reducing API costs by up to 80% through token reuse. It automatically sets explicit cache breakpoints, uses provider-side implicit caching, and structures prompts to maximize cache efficiency, enabling cross-provider cost savings. However, provider-specific features like explicit breakpoints and TTL vary, affecting overall savings. The harness minimizes cache degradation by maintaining consistent prefixes, and its effectiveness depends on conversation length and provider-specific features.
Managed Deep Agents gives developers a managed way to build, run, and deploy Deep Agents with built-in runtime, streaming, sandboxes, evals, memory, and auth.

LangSmith Bring Your Own Cloud is now generally available on AWS, giving Enterprise teams managed observability, evaluation, and deployment inside their own VPC.

Learn what AI agents are, how they work in an LLM loop, and where workflows fit so you can build reliable, production-ready autonomous systems.
