Your coding agent bill doubled. Here’s how to fix it.
LangChain and LangSmith focus on observability and evaluation for coding agents, addressing the challenge of fragmented tool usage that leads to unclear cost visibility. By providing a unified trace model, LangSmith enables teams to track and optimize tool usage, identifying expensive sessions and improving cost efficiency. The integration with Engine and LLM Gateway helps standardize cost tracking, surface optimization recommendations, and enforce governance to manage spending effectively.
More from Langchain
Why managed agents are the next big thing in agent building
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.
langchain.com··Mads Kristian Nylund·AI InfrastructureAI-agents
LangSmith BYOC on AWS is generally available
LangSmith Bring Your Own Cloud is now generally available on AWS, giving Enterprise teams managed observability, evaluation, and deployment inside their own VPC.
langchain.com··Mads Kristian Nylund·AI DevelopmentAI InfrastructureAI Platforms
What is an AI agent?
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.
langchain.com··Mads Kristian Nylund·AI DevelopmentAI InfrastructureAI-agents