Evaluate prompts with custom JavaScript providers
Custom JavaScript provider example for promptfoo that demonstrates how to build and test custom API providers using .mjs modules with CSV test cases.
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Why it matters
Test and validate AI prompts systematically by running them through custom provider implementations, enabling developers to ensure prompt quality and consistency before deployment.
Outcomes
What it gets done
Execute prompt evaluations using custom JavaScript provider modules
Process CSV test cases against multiple prompts automatically
Compare outputs from custom providers alongside standard LLM providers
Generate structured evaluation reports in JSON format
Install
Add it to your toolbox
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Run in your project directory:
curl -fsSL https://spark.entire.vc/get/pfoo-mjs | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
Mjs
Mjs is a reference implementation showing how to build custom API providers for promptfoo using JavaScript modules. It includes a complete example with a custom provider file (customProvider.mjs), prompt definitions, and CSV-based test cases that can run alongside standard providers like OpenAI. Use this when you need a working example of how to structure and implement a custom provider for promptfoo using .mjs modules with CSV test cases.
What it does
Mjs is a working example that demonstrates how to implement a custom API provider for promptfoo using JavaScript modules (.mjs format). It provides a reference implementation with a custom provider file (customProvider.mjs), prompt definitions, and CSV-based test cases.
When to use - and when NOT to
Use this example when you need to create a custom provider implementation for promptfoo. It demonstrates the structure and setup for custom providers using .mjs modules with CSV test case files.
Do not use this if you're working with already-supported providers (OpenAI, Anthropic, etc.) - stick with the built-in integrations. Avoid this approach if you need TypeScript-specific features, as this example uses plain JavaScript modules.
Inputs and outputs
You provide a custom provider implementation in customProvider.mjs, a prompts file (prompts.txt), and test cases in CSV format (vars.csv). The example accepts standard promptfoo configuration including provider specifications and output destinations.
You receive output in JSON format as specified in the configuration.
How to use
Initialize the example:
npx promptfoo@latest init --example provider-custom/mjs
cd provider-custom/mjs
Run the evaluation:
promptfoo eval
For the full command-line equivalent with all options explicit:
promptfoo eval --prompts prompts.txt --tests vars.csv --providers openai:chat --output output.json --providers customProvider.js
Integrations
promptfoo: The core evaluation framework that loads and executes the custom provider.
CSV test cases: Supports CSV file format for defining test variables and scenarios.
Who it's for
This example is for developers who need to implement custom providers for promptfoo. It requires JavaScript development skills to implement the provider interface.
Source README
provider-custom/mjs (Custom Provider Mjs)
You can run this example with:
npx promptfoo@latest init --example provider-custom/mjs
cd provider-custom/mjs
Usage
This example uses a custom API provider in customProvider.mjs. 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
Common questions
Discussion
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