Prompt Chain

Process and Summarize Data from Multiple Sources

Integration Tau is a multi-step prompt workflow example from promptfoo that demonstrates chained prompt execution patterns for testing and evaluation.


62
Spark score
out of 100
Updated yesterday
Version code-scan-action-0.1

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Why it matters

Automate the extraction, processing, and summarization of data from various sources to gain actionable insights.

Outcomes

What it gets done

01

Extract relevant information from diverse data inputs.

02

Index and prepare data for efficient retrieval.

03

Summarize complex information into concise reports.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/pfoo-integration-tau | bash

Capabilities

What this chain does

Extract relevant information

Extract relevant information from diverse data inputs.

Index and prepare

Index and prepare data for efficient retrieval.

Summarize complex information

Summarize complex information into concise reports.

Overview

Integration Tau

What it does

Integration Tau is a prompt chain example from the promptfoo framework that shows how to build and execute multi-step prompt workflows. It demonstrates how to structure dependent prompt sequences where outputs from one step feed into subsequent steps, providing a reference implementation for developers building complex AI evaluation pipelines.

How it connects

Use this example when you need to learn or reference how to implement prompt chaining in promptfoo, especially for testing multi-step AI workflows. It is ideal for developers building integration test suites that require sequential prompt execution with data passing between steps.

Source README

You can run this example with:

Discussion

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