Prompt Chain

Build custom TypeScript providers for prompt evaluation

A TypeScript custom API provider example for promptfoo that demonstrates how to build and test custom providers with CSV test cases and prompt evaluation

Works with openai

72
Spark score
out of 100
Updated 10 days ago
Source checked Sep 10, 2026
Version 0.123.0

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Why it matters

Enable developers to create and test custom API providers in TypeScript for prompt evaluation workflows, allowing integration of proprietary or specialized language models into the promptfoo testing framework.

Outcomes

What it gets done

01

Implement custom provider logic in TypeScript with type safety

02

Load and process CSV test cases for prompt evaluation

03

Execute prompt evaluations against custom API endpoints

04

Output structured JSON results from evaluation runs

Install

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Run in your project directory:

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

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Overview

Typescript

A TypeScript example that demonstrates how to implement a custom API provider for promptfoo. It includes a complete workflow with custom provider logic in customProvider.ts, CSV-based test cases, and a command-line configuration that references both the custom provider and OpenAI. Use this when you need to implement a custom provider for promptfoo and want to see a working TypeScript example with CSV test cases and prompt evaluation configuration.

What it does

This example demonstrates how to implement a custom API provider in TypeScript for promptfoo. The example includes a custom provider implementation in customProvider.ts and uses CSV test cases for prompt evaluation.

When to use - and when NOT to

Use this example when you need to create a custom API provider for promptfoo. It provides a working template showing how to structure your custom provider code in TypeScript and how to use CSV files for test cases.

Do NOT use this if you're working with already-supported providers like OpenAI, Anthropic, or other mainstream APIs - the built-in providers will be simpler and better maintained. Avoid this approach if you don't need custom logic; standard provider configurations are sufficient for most use cases.

Inputs and outputs

You provide a TypeScript file (customProvider.ts) that implements your custom provider logic, a prompts file (prompts.txt) containing the prompts to test, and a CSV file (vars.csv) with test case variables. The workflow outputs evaluation results, with results saved to output.json.

Integrations

The example shows a command-line configuration that references both customProvider.js and openai:chat as providers.

Who it's for

This example is for TypeScript developers who need to implement custom providers for promptfoo and want to see a working example of how to structure the code and configuration.

To get started, initialize the example:

npx promptfoo@latest init --example provider-custom/typescript
cd provider-custom/typescript

Then run the evaluation:

promptfoo eval

For full control, you can specify all parameters explicitly:

promptfoo eval --prompts prompts.txt --tests vars.csv --providers openai:chat --output output.json --providers customProvider.js
Source README

provider-custom/typescript (Custom Provider Typescript)

You can run this example with:

npx promptfoo@latest init --example provider-custom/typescript
cd provider-custom/typescript

Usage

This example uses a custom API provider in customProvider.ts. It also uses CSV test cases.

Run:

promptfoo eval

Full command-line equivalent:

promptfoo eval --prompts prompts.txt --tests vars.csv --providers openai:chat --output output.json --providers customProvider.js

FAQ

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Discussion

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