> ## Documentation Index
> Fetch the complete documentation index at: https://docs.langchain.com/llms.txt
> Use this file to discover all available pages before exploring further.
# LangSmith docs
**LangSmith is a framework-agnostic platform for building, debugging, and deploying AI agents and LLM applications.** Trace requests, evaluate outputs, test prompts, and manage deployments all in one place, with your agent stack.
## Get started
Sign up at [smith.langchain.com](https://smith.langchain.com?utm_source=docs\&utm_medium=cta\&utm_campaign=langsmith-signup\&utm_content=langsmith-home) (no credit card required).
You can log in with **Google**, **GitHub**, or **email**.
Go to your [Settings page](https://smith.langchain.com/settings) → **API Keys** → **Create API Key**.
Copy the key and save it securely.
LangSmith works with many frameworks and providers. Browse [available integrations](/langsmith/integrations) to connect your stack.
Once your account and API key are ready, choose a quickstart to begin building with LangSmith:
Gain visibility into every step your application takes to debug faster and improve reliability.
Measure and track quality over time to ensure your AI applications are consistent and trustworthy.
Deploy your agents as Agent Servers, ready to scale in production.
## More ways to build
Design and deploy AI agents visually without writing code.
Iterate on prompts with built-in versioning and collaboration to ship improvements faster.
Query and manage traces, datasets, experiments, and more from the terminal.
Use a visual interface to design, test, and refine applications end-to-end.
## Infrastructure
Use LangSmith in managed cloud or in a self-hosted environment to match your infrastructure and compliance needs.
LangSmith meets the highest standards of data security and privacy with HIPAA, SOC 2 Type 2, and GDPR compliance. [Meet with our team](https://www.langchain.com/contact-sales) to learn more or visit our [Trust Center](https://trust.langchain.com/).
## Workflow
LangSmith combines observability, evaluation, deployment, and platform setup in one integrated workflow—from local development to production.
***
[Connect these docs](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers.
[Edit this page on GitHub](https://github.com/langchain-ai/docs/edit/main/src/langsmith/home.mdx) or [file an issue](https://github.com/langchain-ai/docs/issues/new/choose).