LangSmith AI
Features of LangSmith AI
Use Cases of LangSmith AI
FAQ about LangSmith AI
QWhat is LangSmith AI?
LangSmith AI is an agent-engineering platform that delivers trace-centric observability, evaluation and deployment tooling so developers can debug and continuously improve agents from build to production.
QHow do I get started with LangSmith?
Sign up at smith.langchain.com (Google, GitHub, Discord or email), create a project, copy your API key, set the environment variable and install the SDK—traces start flowing immediately.
QWhich SDKs and integrations are supported?
Official SDKs for Python, TypeScript/JavaScript, Go and Java; drop-in connectors for LangChain, LangGraph, CrewAI, Autogen or any custom agent stack.
QWhen should I use Fleet no-code?
Use Fleet when product, support or ops teams need to prototype or tweak simple assistants without pulling engineers off core work.
QHow does LangSmith handle data residency and privacy?
You choose the data region at signup, opt for cloud, hybrid or self-hosted deployments, and configure retention policies; details are in the security docs or talk to sales.
QDoes LangSmith support evaluation and human feedback?
Yes—create datasets, run offline or online evaluations, collect human ratings and comments, then track score regressions in the dashboard.
QWhere can I find pricing and edition details?
Visit the Pricing page for pay-as-you-go and enterprise tiers; exact quotas and enterprise features are listed there or available from sales.
QWhat common limits or best practices should I know?
Safeguard your API keys, pick the right data region and retention window, and store third-party service keys (OpenAI, SERPAPI, etc.) securely; quotas are shown in your account settings.
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