For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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  • Getting Started
    • Overview
    • Quickstart
  • Explanation
    • Integrating Humanloop
  • Tutorials
    • Evaluate an Agent in the UI
    • Evaluate an Agent in code
    • Evaluate a RAG app
    • Capture user feedback
  • How-To Guides
    • Migrating from Humanloop
  • Reference
    • Deployment Options
    • Supported Models
    • Template Library
    • Vercel AI SDK
    • .prompt and .agent Files
    • Humanloop Runtime Environment
    • Security and Compliance
    • Data Management
    • Access roles (RBACs)
    • SSO and Authentication
    • LLMs.txt
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On this page
  • Browse the Library
  • Evaluators
  • Prompts
  • Tools
  • Datasets
  • Example Agents and Flows
  • How to use templates
Reference

Template Library

The Library provides example Evaluators, Prompts and Tools which you can customize for your use cases.
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Template Library

To help you get started, we provide a library of example Evaluators, Prompts, Tools and Datasets. These examples have been designed for common AI use-cases like RAG, customer service, and agents. Each example can be duplicated to your workspace and customized for your use cases.

Browse the Library

The Template Library includes various examples built for common AI application needs, including:

Evaluators

Pre-built evaluators for measuring semantic similarity, cost, latency, and other key metrics. Quickly assess your AI’s performance with ready-made evaluators that are suited for RAG. Measure response accuracy, prompt quality, and user satisfaction with tools designed for reliable and consistent evaluation.

Prompts

Example prompts for common use cases including classification, question-answering, content generation, conversational agents, and RAG (Retrieval-Augmented Generation).

Tools

Ready-to-use tools for tasks like retrieval, data extraction, and calling external functions with JSON Schema function calling.

Datasets

Example datasets for common use cases including classification, question-answering, and content generation.

Example Agents and Flows

Example agent templates designed for common use cases like customer support, guided workflows, and RAG applications. These templates demonstrate best practices for building AI agents that can classify queries, answer questions, generate content, and provide context-aware responses by retrieving and incorporating relevant information.

How to use templates

  1. Navigate to the ‘Library’ page in the sidebar
  2. Filter by type, category, or tags
  3. Select a template you’d like to use
  4. Click “Duplicate” to create a copy in your workspace that you can customize

Once you’ve added a template to your workspace, you can modify it to match your specific requirements. Learn more about customizing your files in our guides for Evaluators, Prompts, and Tools.