Store and Reuse Prompt Outputs Across Evaluation Runs
Promptfoo workflow example named 'Store And Reuse Outputs' that can be initialized and run using promptfoo commands with OpenAI API key configuration.
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Why it matters
Enable developers to persist and reuse outputs from prompt evaluations, creating efficient testing pipelines where results from one evaluation phase can be fed into subsequent phases without re-running expensive API calls.
Outcomes
What it gets done
Store prompt evaluation outputs to a persistent configuration store
Retrieve previously generated outputs for use in downstream prompts
Chain multiple prompt evaluation phases using stored intermediate results
Reduce API costs by reusing outputs instead of regenerating them
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/pfoo-config-store-and-reuse-outputs | 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
Steps in the chain
Overview
Config Store And Reuse Outputs
This promptfoo configuration example named 'Store And Reuse Outputs' provides a starting template that can be initialized using promptfoo commands. It includes a promptfooconfig.yaml file that can be edited and customized for your evaluation needs. Use this when you want to start with the 'Store And Reuse Outputs' promptfoo example configuration. It provides a foundation you can customize by editing the promptfooconfig.yaml file and running evaluations with your OpenAI API key.
What it does
This promptfoo configuration example named 'Store And Reuse Outputs' provides a starting point for working with promptfoo evaluations. It includes a promptfooconfig.yaml file that you can customize for your evaluation needs.
When to use - and when NOT to
Use this example when you want a pre-configured starting point for promptfoo evaluations with the 'Store And Reuse Outputs' pattern. It provides the basic structure you need to begin working with promptfoo.
Do NOT use this if you need a different promptfoo example or if you want to create your configuration from scratch without a template.
Inputs and outputs
You provide your OPENAI_API_KEY environment variable to authenticate with OpenAI's API. You can edit the included promptfooconfig.yaml file to customize your evaluation.
You receive evaluation results after running the evaluation. After running the evaluation, you can view results through the promptfoo view command.
How to use it
Initialize the example in your local environment:
npx promptfoo@latest init --example config-store-and-reuse-outputs
cd config-store-and-reuse-outputs
Set your OpenAI API key as an environment variable, then edit the promptfooconfig.yaml file to customize your evaluation. Run the evaluation:
promptfoo eval
After the evaluation completes, view the results by running promptfoo view.
Integrations
OpenAI API: This example requires an OpenAI API key and uses OpenAI models for prompt evaluation.
Promptfoo: Built as a native promptfoo configuration example, leveraging promptfoo's evaluation and visualization capabilities.
Who it's for
This example is for users who want to get started with promptfoo using a pre-configured example. If you prefer to create your own configuration from scratch or need a different example pattern, you may want to explore other promptfoo examples or documentation.
Source README
config-store-and-reuse-outputs (Store And Reuse Outputs)
You can run this example with:
npx promptfoo@latest init --example config-store-and-reuse-outputs
cd config-store-and-reuse-outputs
Usage
To get started, set your OPENAI_API_KEY environment variable.
Next, edit promptfooconfig.yaml.
Then run:
promptfoo eval
Afterwards, you can view the results by running promptfoo view
FAQ
Common questions
Discussion
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