AI Infrastructure · PyPI

llm-evalgate

Eval gates, calibrated LLM-as-judge, agentic-trace evals, and reliability primitives for LLM pipelines

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Details

Author
Lester Leong
GitHub profile
@LesterALeong
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/LesterALeong/llm-evalgate
Framework
unknown
Language
python
Stars
0
First indexed
2026-06-05
Last active
—
Directory sync
2026-06-05
@LesterALeong

Overview

Eval gates, calibrated LLM-as-judge, agentic-trace evals, and reliability primitives for LLM pipelines

Quick start

pip

pip install llm-evalgate

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What llm-evalgate can do

agentllmaiagenticllm-as-judge
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Ai — ai task automation.
  • Agentic — agentic task automation.
  • Llm As Judge — llm-as-judge task automation.

Frequently asked questions

What is llm-evalgate?
Eval gates, calibrated LLM-as-judge, agentic-trace evals, and reliability primitives for LLM pipelines
How do I install llm-evalgate?
Use pip: `pip install llm-evalgate`. Full setup details on the source page linked above.
Is llm-evalgate open source?
llm-evalgate is published on PyPI.
What are alternatives to llm-evalgate?
Comparable agents include awesome, openclaw, superpowers. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for llm-evalgate is sourced from PyPI, published by Lester Leong.

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