> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://humanloop.com/docs/v5/reference/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://humanloop.com/docs/_mcp/server.

# Reference

## Docs

- [Deployment Options](https://humanloop.com/docs/reference/deployment-options.md): Humanloop is SOC-2 compliant, offers within your VPC and never trains on your data. Learn more about our hosting options.
- [Supported Models](https://humanloop.com/docs/reference/models.md): Humanloop supports all the major large language model providers, including OpenAI, Anthropic, Google, AWS Bedrock, Azure, and more. Additionally, you can use your own custom models with with the API and still benefit from the Humanloop platform.
- [Template Library](https://humanloop.com/docs/template-library.md): Explore Humanloop’s template library. Find example evaluators and prompts for popular use cases like Agents and RAG, all ready for customization.
- [Vercel AI SDK](https://humanloop.com/docs/reference/vercel-ai-sdk.md): Learn about the ways you can use Humanloop with the Vercel AI SDK.
- [.prompt and .agent Files](https://humanloop.com/docs/reference/serialized-files.md): Humanloop File formats allow you to store File configurations alongside your source code. They are human-readable, version-control-friendly, and can be used directly in your applications via the SDK's path parameter.
- [Humanloop Runtime Environment](https://humanloop.com/docs/reference/python-environment.md): This reference provides details about the Python environment and supported packages.
- [Security and Compliance](https://humanloop.com/docs/reference/security-compliance.md): Learn about Humanloop's commitment to security, data protection, and compliance with industry standards.
- [Data Management](https://humanloop.com/docs/reference/data-management.md): Discover Humanloop's robust data management practices and state-of-the-art encryption methods ensuring maximum security and compliance for AI applications.
- [Access roles (RBACs)](https://humanloop.com/docs/reference/access-roles.md): Learn about the different roles and permissions in Humanloop to help you with prompt and data management for large language models.
- [SSO and Authentication](https://humanloop.com/docs/reference/sso-authentication.md): Learn about Single Sign-On (SSO) and authentication options for Humanloop
- [LLMs.txt](https://humanloop.com/docs/reference/llms-txt.md): Humanloop docs are accessible to AI tools using the llms.txt standard.