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Overview

Switchport is a platform designed to help engineering teams manage, test, and optimize LLM prompts in production environments. It provides tools for prompt versioning, A/B testing, and metrics tracking to help you build better AI-powered applications.

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The Problem

Building production LLM applications comes with unique challenges:
  • Prompt iterations: Changing prompts requires code deployments
  • A/B testing: Difficult to test multiple prompt versions and compare performance
  • Metrics tracking: Hard to link user feedback or business metrics to specific prompt versions
  • Version management: No easy way to roll back to previous prompts or track changes

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The Solution

Switchport solves these problems by providing:

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Centralized Prompt Management

Store all your prompts in one place with version control. Update prompts through the dashboard without deploying code changes.

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Deterministic A/B Testing

Test multiple prompt versions simultaneously with consistent user experiences. The same context (e.g., user ID) always gets the same version.

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Automatic Metrics Aggregation

Record metrics with the same context used for prompt execution. Switchport automatically aggregates metrics per version so you can see which prompts perform best.

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Multi-Model Support

Works with all major LLM providers:
  • OpenAI (GPT-3.5, GPT-4, GPT-4o)
  • Anthropic (Claude 3 family)
  • Google (Gemini)
  • And more

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How It Works

1

Dashboard Setup

Create prompt configs, define versions, and set up A/B test distributions in the Switchport dashboard.
2

SDK Integration

Use the SDK in your application to execute prompts and record metrics with minimal code changes.
3

Data Collection

As users interact with your application, Switchport tracks which version each user sees based on context.
4

Analysis

View aggregated metrics per version to identify winners and make data-driven decisions.

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Use Cases

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Customer Support Chatbots

Test different conversation styles and measure customer satisfaction scores to optimize your support bot.

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Email Generation

A/B test email templates and track open rates, click-through rates, or conversion metrics.

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Product Descriptions

Test different product description styles and measure which ones drive more purchases.

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Content Recommendations

Optimize recommendation prompts by testing different approaches and measuring user engagement.

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Who Is It For?

Switchport is built for:
  • Product Engineers building LLM-powered features
  • ML Engineers optimizing prompt performance
  • Product Managers making data-driven decisions about AI features
  • Growth Teams running experiments to improve conversion metrics

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Next Steps

Get Started

Start building with the Python SDK

Core Concepts

Learn about key concepts