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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DocsReferenceChangelog
  • Getting Started
    • Overview
    • Why Humanloop?
    • Quickstart Tutorial
  • Tutorials
    • Create your first GPT-4 App
    • ChatGPT clone with streaming
  • Guides
    • Create a Prompt
    • Fine-tune a model
    • Manage API keys
    • Invite collaborators
    • Deploy to environments
  • Core concepts
    • Prompts
    • Tools
    • Datasets
    • Evaluators
    • Logs
    • Environments
    • Key Concepts
  • Reference
    • Supported Models
    • Access Roles
    • .prompt files
    • Postman Workspace
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Getting Started

Overview

Humanloop is an Integrated Development Environment for Large Language Models
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Why Humanloop?

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Humanloop enables AI and product teams to develop LLM-based applications that are reliable and scalable.

Principally, it is an evaluation suite to enable you to rigorously measure and improve LLM performance during development and in production and a collaborative workspace where engineers, PMs and subject matter experts improve prompts, tools and agents together.

By adopting Humanloop, teams save 6-8 engineering hours each week through better workflows and they feel confident that their AI is reliable.

Humanloop's IDE for LLMs helps teams prompt engineer and evaluate LLM applications.

The power of Humanloop lies in its integrated approach to AI development. Evaluation, monitoring and prompt engineering in one platform enables you to understand system performance and take the actions needed to fix it. Additionally, the SDK slots seamlessly into your existing code-based orchestration and the user-friendly interface allows both developers and non-technical stakeholders to adjust the AI together.

You can learn more about the challenges of AI development and how Humanloop solves them in Why Humanloop?.