Test LLM Temperature Settings
A promptfoo example workflow that runs GPT-4o evaluations across multiple temperature settings using the promptfoo eval command.
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Why it matters
Evaluate the impact of different temperature settings on LLM output quality and consistency. This asset helps developers ensure their AI applications produce reliable and predictable results.
Outcomes
What it gets done
Define test cases for LLM responses.
Execute prompts with varying temperature parameters.
Compare and analyze the output variations.
Identify optimal temperature settings for specific use cases.
Install
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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-compare-gpt-temperature | 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
Compare Gpt Temperature
This promptfoo example workflow evaluates GPT-4o model responses across multiple temperature settings. It provides a pre-configured setup that you can initialize with a single command, customize through the promptfooconfig.yaml file, and run using promptfoo eval to generate evaluation reports viewable through promptfoo view. Use this when you want to explore how temperature settings affect GPT-4o outputs or when you need a starting point for building temperature comparison evaluations with promptfoo.
What it does
This promptfoo example demonstrates how to evaluate OpenAI's GPT-4o model at different temperature settings. It provides a pre-configured setup that you can initialize, customize, and run to compare model outputs across temperature configurations.
When to use - and when NOT to
Use this example when you want to explore how temperature settings affect GPT-4o outputs or when you need a starting point for building your own temperature comparison evaluations.
Do not use this if you've already built your own evaluation framework or if you're working with non-OpenAI models that this example doesn't support.
Inputs and outputs
You provide an OpenAI API key via the OPENAI_API_KEY environment variable and configure test prompts in the promptfooconfig.yaml file. The workflow executes your prompts and generates an evaluation report.
You receive evaluation results that you can view through the promptfoo view command.
How to use
Initialize the example workflow:
npx promptfoo@latest init --example compare-gpt-temperature
cd compare-gpt-temperature
Set your OpenAI API key as an environment variable, then edit promptfooconfig.yaml to define your test prompts and temperature values. Run the evaluation:
promptfoo eval
After execution completes, launch the results viewer with promptfoo view to analyze the outputs.
Who it's for
This example is designed for anyone working with promptfoo who wants to evaluate GPT-4o temperature settings.
Source README
compare-gpt-temperature (Gpt 4o Temperature Comparison)
You can run this example with:
npx promptfoo@latest init --example compare-gpt-temperature
cd compare-gpt-temperature
Usage
To get started, set the OPENAI_API_KEY environment variable.
Next, edit promptfooconfig.yaml.
Then run:
promptfoo eval
Afterwards, you can view the results by running promptfoo view
FAQ
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Discussion
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