chore: import upstream snapshot with attribution
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# openai-vision (OpenAI Vision Model Example)
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This example demonstrates how to use promptfoo to evaluate OpenAI's vision capabilities, allowing you to test models on their ability to analyze and describe images.
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## Features Demonstrated
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- Using OpenAI's GPT-4o with vision capabilities
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- Incorporating images in prompts using JSON format
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- Passing image URLs as variables
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- Testing vision model responses against expected content
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## Environment Variables
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This example requires the following environment variables:
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- `OPENAI_API_KEY` - Your OpenAI API key
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You can set this in a `.env` file or directly in your environment.
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## Running the Example
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You can run this example with:
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```bash
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npx promptfoo@latest init --example openai-vision
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# and then
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cd openai-vision
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# Run the evaluation
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npx promptfoo eval
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# View the results
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npx promptfoo view
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```
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## Example Configuration
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This example:
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1. Uses a JSON-formatted prompt that includes both text and image inputs
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2. Passes image URLs as variables that can be changed for each test case
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3. Tests the model's ability to accurately describe image content
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4. Demonstrates how to transform variables to generate markdown image tags
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## Key Technical Features
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- JSON prompt structure for multi-modal inputs
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- Image URL handling through variable substitution
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- Simple assertions to validate image content recognition
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- Variable transformation to generate additional context
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## Documentation
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For more information, see:
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- [OpenAI Vision API Documentation](https://platform.openai.com/docs/guides/vision)
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- [promptfoo OpenAI Provider Documentation](https://promptfoo.dev/docs/providers/openai#sending-images-in-prompts)
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[
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": "{{question}}"
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},
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{
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"type": "image_url",
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"image_url": {
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"url": "{{url}}"
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}
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}
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]
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}
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]
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# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
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description: OpenAI vision model image analysis and evaluation
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prompts:
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- file://prompt.json
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providers:
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- openai:chat:gpt-5.4
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tests:
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- vars:
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question: 'What do you see?'
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url: 'https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg'
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options:
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transformVars: |
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return { ...vars, image_markdown: `` }
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assert:
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- type: contains
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value: 'boardwalk'
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