LangChain
Platform for building, testing, and operating AI agents
What is LangChain?
LangChain is a platform for teams building and operating AI agents. It covers the agent lifecycle from initial development through testing, deployment, monitoring, iteration, and governance.
Teams can build agents with or without code and choose their model, harness, context, and memory setup. LangChain also offers open-source frameworks for different levels of control.
Before deployment, the platform supports trace-based debugging, dataset creation, and evaluations. Its production tooling is designed for long-running tasks, persistent state, and secure execution.
LangChain is intended for engineering teams that need to run agents in production and improve them over time. Monitoring and governance tools help teams observe quality, manage operational concerns, and control sensitive actions.
LangChain Features
Build agents with flexible controls
LangChain supports agent development with or without code. Teams can select models and retain control over the harness, context, and memory that shape an agent's behavior.
Test agent behavior before release
LangChain provides tools for validating agent behavior before agents are shipped. Teams can use traces to form realistic datasets and evaluate individual steps in an agent workflow.
Production monitoring and governance
LangChain includes monitoring tools for production agent runs. Governance controls cover model calls, spend, sensitive data, and approval requirements for sensitive actions.
Pricing
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