Prompt Chain

Integrate MLflow AI Gateway with Promptfoo

Prompt workflow example demonstrating MLflow AI Gateway integration as an LLM provider in promptfoo for governed model access and testing.

Works with mlflow

78
Spark score
out of 100
Updated 17 days ago
Version 1.0.0
Models

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Why it matters

Leverage MLflow AI Gateway as a provider within promptfoo for enhanced LLM testing and evaluation. Streamline your MLOps pipeline by integrating powerful AI governance with your prompt development process.

Outcomes

What it gets done

01

Configure promptfoo to use MLflow AI Gateway.

02

Test and evaluate LLM responses through the MLflow provider.

03

Integrate AI governance into your prompt testing framework.

04

Automate LLM provider selection and management.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/pfoo-provider-mlflow-gateway | bash

Capabilities

What this chain does

Generate code

Writes source code or scripts from a description.

Debug

Traces errors to their root cause and suggests fixes.

Review code

Analyzes code for bugs, style issues, and improvements.

Overview

Provider Mlflow Gateway

What it does

This is a configuration example that demonstrates how to set up MLflow AI Gateway as an LLM provider within promptfoo. It shows the integration pattern needed to route prompt evaluation requests through MLflow's governance layer instead of calling models directly.

How it connects

Use this example when you need to test prompts against models accessed through MLflow AI Gateway, particularly in enterprise environments where AI governance, access control, and centralized model management are required.

Source README

This example demonstrates how to use MLflow AI Gateway as an LLM provider in promptfoo.

Discussion

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