Evals

MLflow LLM Evaluate

MLflow LLM evaluate extends MLflow's experiment tracking with mlflow.evaluate() support for LLM tasks. The API runs reference-based and reference-free metrics (toxicity, perplexity, BLEU, ROUGE, exact match, custom LLM judges) over a logged model or a function and persists results into MLflow's experiment store alongside traditional ML metrics. Sits inside the broader MLflow open-source project.

GitHub

Documentation

📖
Documentation
https://mlflow.org/docs/latest/llms/llm-evaluate/index.html

SDKs

📦
GitHubRepository
https://github.com/mlflow/mlflow

Work with this as data

Every API here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for apis

7 MCP tools reach this
  • find_apisBrowse and filter every API in the catalog.
  • get_api_artifactsOne API's artifacts, grouped by type.
  • get_openapiThe primary OpenAPI for this API.
  • find_similar_apisAPIs that look like this one.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This API 
curl "https://apis.io/api/v1/apis/mlflow-llm-evaluate"
All apis 
curl "https://apis.io/api/v1/apis?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.

API entry from apis.yml

apis.yml Raw ↑ 
name: MLflow LLM Evaluate
description: MLflow LLM evaluate extends MLflow's experiment tracking with mlflow.evaluate() support for
  LLM tasks. The API runs reference-based and reference-free metrics (toxicity, perplexity, BLEU, ROUGE,
  exact match, custom LLM judges) over a logged model or a function and persists results into MLflow's
  experiment store alongside traditional ML metrics. Sits inside the broader MLflow open-source project.
humanURL: https://mlflow.org/
baseURL: https://mlflow.org
tags:
- Open-Source
- MLflow
- Experiment Tracking
- LLM Judges
- Apache
tags_raw:
- Open Source
- MLflow
- Experiment Tracking
- LLM Judges
- Apache
properties:
- type: Documentation
  url: https://mlflow.org/docs/latest/llms/llm-evaluate/index.html
- type: GitHubRepository
  url: https://github.com/mlflow/mlflow