Test OpenAI Chat History Conversation Flows
A promptfoo example for setting up and running OpenAI chat evaluations with included configuration files.
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Why it matters
Evaluate and test conversational AI implementations that maintain chat history across multiple turns with OpenAI models, ensuring context is properly preserved and responses remain coherent throughout extended dialogues.
Outcomes
What it gets done
Initialize and configure OpenAI chat history examples with API credentials
Define conversation prompts and expected multi-turn dialogue patterns
Run evaluation tests to verify context retention across message exchanges
View and analyze test results to validate chat history implementation
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-openai-chat-history | 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
Openai Chat History
This is a promptfoo example that provides setup instructions and configuration files for evaluating OpenAI chat models. It includes prompt.json and promptfooconfig.yaml files along with commands for initializing and running evaluations. Use this when you need a starting point for setting up OpenAI chat model evaluations with promptfoo, or when you want to understand the basic workflow for running chat model tests.
What it does
This promptfoo example provides a working setup for evaluating OpenAI chat models. It includes configuration files (prompt.json and promptfooconfig.yaml) and demonstrates the basic workflow for running evaluations using promptfoo's framework.
When to use - and when NOT to
Use this example when you need a starting point for testing OpenAI chat models with promptfoo. It's ideal when you're building applications that use OpenAI's chat models and want to establish an evaluation workflow.
Do not use this if you're working with non-OpenAI models that don't support the chat message format, or if you need a different evaluation framework.
Inputs and outputs
You provide an OpenAI API key as an environment variable, along with a prompt.json file that defines your chat messages and a promptfooconfig.yaml file that configures the evaluation parameters. The example runs evaluations through promptfoo's framework and generates test results. You can view the results through promptfoo's web interface.
Integrations
This example requires an OpenAI API key (OPENAI_API_KEY) and uses promptfoo's evaluation framework for testing and result visualization.
Who it's for
This example is designed for developers working with OpenAI's chat models who want to use promptfoo for evaluation. It's particularly valuable for engineers setting up their first promptfoo evaluation workflow and for teams establishing testing processes for chat-based AI products.
To get started:
npx promptfoo@latest init --example openai-chat-history
cd openai-chat-history
Then set your OPENAI_API_KEY environment variable, review the prompt.json and promptfooconfig.yaml files, and run:
promptfoo eval
After evaluation completes, view the results with promptfoo view.
Source README
openai-chat-history (Openai Chat History)
You can run this example with:
npx promptfoo@latest init --example openai-chat-history
cd openai-chat-history
Usage
To get started, set your OPENAI_API_KEY environment variable.
Next, have a look at prompt.json and edit promptfooconfig.yaml.
Then run:
promptfoo eval
Afterwards, you can view the results by running promptfoo view
FAQ
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