Generate dynamic test variables at runtime with scripts
Promptfoo example that generates variable values at runtime with a Python or JavaScript script.
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Why it matters
Enable developers to dynamically generate variable values at evaluation time using JavaScript or Python scripts that can access test context and other variables, making prompt testing more flexible and context-aware.
Outcomes
What it gets done
Load role-specific prompts dynamically based on test variables
Execute Python or JavaScript scripts at evaluation time to compute values
Pass test context and other variables into generation scripts
Return structured output or error messages from variable generation functions
Install
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Run in your project directory:
curl -fsSL https://spark.entire.vc/get/pfoo-config-dynamic-var | 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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Steps
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Overview
Config Dynamic Var
This promptfoo example generates a test variable's value at runtime by referencing a Python or JavaScript script with file://, which receives the prompt and other resolved variables and returns the computed value. Use it when a variable's value must be computed from other variables or external logic at evaluation time rather than hardcoded in the config.
What it does
This is a promptfoo example (config-dynamic-var) showing how to generate variable values at runtime using a JavaScript or Python script instead of a static value. Referencing a script with file:// in a test's vars runs that script at evaluation time, passing it the current test context - the variable name, the prompt, and every other variable already resolved for that test - so it can, for example, load a role-specific system prompt based on another variable's value. A Python script defines get_var(var_name, prompt, other_vars) and returns {"output": "value"} or {"error": "message"}; a JavaScript script exports an async function with the same shape (varName, prompt, otherVars, provider) and the same return contract.
When to use - and when NOT to
Use it when a test variable's value needs to be computed rather than hardcoded - looking up a role-specific prompt, deriving a value from another variable, or calling out to external logic at evaluation time. It requires an OPENAI_API_KEY to run the example end to end. It's not needed for tests where every variable value is already known and static; a plain vars entry is simpler in that case.
Inputs and outputs
Input: a file:// reference to a Python or JavaScript script in a test's vars, plus that script's own inputs at runtime - the variable name, the prompt, and the other already-resolved variables for that test. Output: the script returns {"output": <value>} to supply the variable's value, or {"error": <message>} to fail that test case.
Integrations
- promptfoo eval framework, run via
promptfoo evaland viewed withpromptfoo view - Python or JavaScript/Node.js for the dynamic-variable script
Who it's for
Anyone writing promptfoo tests who needs a variable's value computed from other variables or external logic at evaluation time, rather than fixed in the config.
Source README
config-dynamic-var (Dynamic Variable Generation)
Generate variable values at runtime using JavaScript or Python.
You can run this example with:
npx promptfoo@latest init --example config-dynamic-var
cd config-dynamic-var
Environment Variables
This example requires:
OPENAI_API_KEY- Your OpenAI API key
How It Works
Reference a script with file:// in your vars. The script runs at evaluation time and can access other variables:
tests:
- vars:
role: support
query: 'My order is late'
system_prompt: file://load_prompt.py # Loads support-specific prompt
The script receives the test context and returns the value:
def get_var(var_name, prompt, other_vars):
role = other_vars.get("role")
return {"output": PROMPTS[role]}
Function Signatures
Python - Define get_var(var_name, prompt, other_vars):
def get_var(var_name, prompt, other_vars):
return {"output": "value"} # or {"error": "message"}
JavaScript - Export a function:
module.exports = async function (varName, prompt, otherVars, provider) {
return { output: 'value' }; // or { error: "message" }
};
Running the Example
promptfoo eval
promptfoo view
FAQ
Common questions
Discussion
Questions & comments · 0
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