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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  • Environment details
Reference

Humanloop Runtime Environment

Humanloop provides a secure Python runtime to support defining code based Evaluator and Tool implementations.
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Security and Compliance

An overview of Humanloop's security and compliance measures
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Humanloop allows you to specify the runtime for your code Evaluators and Tool implementations in order to run them natively with your Prompts in our Editor and UI based Evaluation workflows.

Environment details

Python version: 3.11.4

anthropic==0.29.0
continuous-eval==0.3.13
jellyfish==1.1.0
jsonschema==4.22.0
langdetect==1.0.9
nltk==3.8.1
numpy==1.26.4
openai==1.35.10
pandas==2.2.2
pydantic==2.8.2
requests==2.32.3
scikit-learn==1.5.1
spacy==3.7.5
sqlglot==25.5.1
syllapy==0.7.2
textstat==0.7.3
transformers==4.43.4

If you have any specific packages you would like to see here, please let us know at support@humanloop.com.