Prompt Chain

Evaluate Code Generation with Strands Agents

Example workflow demonstrating how to evaluate Strands Agents SDK using promptfoo's testing framework for multi-step agent prompt workflows.

Works with githubpromptfoo

91
Spark score
out of 100
Updated 3 months ago
Version 1.0.0

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Why it matters

Leverage Strands Agents and promptfoo to rigorously evaluate and improve your code generation capabilities. This asset provides a framework for testing AI-generated code quality and identifying areas for enhancement.

Outcomes

What it gets done

01

Set up Strands Agents for code generation tasks.

02

Utilize promptfoo for automated evaluation of generated code.

03

Analyze test results to debug and refine code generation prompts.

04

Integrate with GitHub for version control and collaboration.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/pfoo-strands-agents | bash

Capabilities

What this chain does

Generate code

Writes source code or scripts from a description.

Review code

Analyzes code for bugs, style issues, and improvements.

Debug

Traces errors to their root cause and suggests fixes.

Overview

Strands Agents

What it does

This is a reference example that demonstrates the integration between Strands Agents SDK and promptfoo's evaluation framework. It provides a working configuration showing how to test and evaluate agent-based prompt workflows built with the Strands Agents SDK using promptfoo's testing capabilities.

How it connects

Use this example when you are building applications with the Strands Agents SDK and need to set up systematic testing and evaluation. It is particularly relevant when you want to establish quality benchmarks for multi-step agent interactions or validate agent behavior before deploying to production.

Source README

This example demonstrates how to evaluate Strands Agents SDK with promptfoo.

Discussion

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