What models does this promptfoo example use?

This example uses `replicate:meta/llama-4-scout-instruct` for text generation tasks and `replicate:image:stability-ai/sdxl` (pinned by version hash) for image generation tasks.

How do I test image generation with Replicate in promptfoo?

Use the `replicate:image:` prefix followed by the model name and version hash in your config, then write assertions that check for markdown image references pointing to hosted URLs.

What types of assertions are used in this example?

Text generation tests use `contains-any` keyword checks and `javascript` assertions to validate structure (like haiku line count), while image generation tests check for markdown image references using provider-scoped assertions.

When should I use this example?

Use this as a reference template if you need to test multiple Replicate-hosted model types (both text and image) in a single promptfoo config and want working examples of assertion patterns for each modality.

Prompt Chain

Summarize Web Content Comprehensively

Name: Replicate Comprehensive
Availability: OnlineOnly
Author: promptfoo/promptfoo

This promptfoo example evaluates Replicate's Llama 3 text generation and Stable Diffusion XL image generation in one config.

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Updated last month

Source checked Aug 11, 2026

Version 0.122.0

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Why it matters

Automate the process of gathering and synthesizing information from multiple web sources to provide a comprehensive summary.

Outcomes

What it gets done

Fetch content from various web pages.

Extract key information and data points.

Synthesize findings into a coherent summary.

Identify and present relevant details from search results.

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-replicate-comprehensive | 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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Overview

Replicate Comprehensive

This promptfoo example evaluates Replicate's Llama 3 8B Instruct text generation and Stable Diffusion XL image generation together in one config, using keyword, JavaScript, and image-validation assertions. Use it as a starting point for evaluating Replicate-hosted text or image models with promptfoo. Not a production suite - meant to be copied and extended with different models or test cases.

What it does

This promptfoo example demonstrates the Replicate provider's full range - text generation with Meta's Llama 3 8B Instruct model and image generation with Stable Diffusion XL - in one evaluation config, testing both creative writing and explanatory text tasks alongside photorealistic and artistic image generation; the image test uses a 512x512 resolution specifically chosen for faster generation during evaluation runs.

When to use - and when NOT to

Use it as a starting point for evaluating Replicate-hosted models with promptfoo, whether you're testing text generation quality (temperature, token limits, sampling) or image generation (resolution, style). It's a working example to copy and extend, not a production evaluation suite - the example itself suggests swapping in larger models like meta-llama-3-70b-instruct or a different image model like playground-v2.5-1024px-aesthetic, and adding code generation, translation, or style-transfer tests.

Inputs and outputs

The provider config sets temperature and max_new_tokens for the text model; assertions validate output with contains-any keyword checks, custom javascript logic, and is-valid-openai-image-generation-response for image URLs. Running promptfoo eval executes the configured test cases against Replicate, and promptfoo view opens the results. Large models can take 30-60 seconds; the provider polls Replicate automatically rather than requiring manual retries, and generated image URLs are temporary, so save them if you need them long-term.

Integrations

Requires a REPLICATE_API_TOKEN from replicate.com/account/api-tokens. At the time this example was written, Replicate priced Llama 3 8B text generation at roughly $0.0005 per 1K tokens and SDXL image generation at roughly $0.012 per image - check replicate.com/pricing for current rates. Replicate enforces its own rate limits, so a larger test run may need delays added between calls to avoid throttling.

Who it's for

Developers evaluating Replicate-hosted text or image models with promptfoo who want a working multi-modal example to adapt rather than starting from a blank config.

Source README

provider-replicate/comprehensive (Comprehensive Replicate Testing)

You can run this example with:

npx promptfoo@latest init --example provider-replicate/comprehensive
cd provider-replicate/comprehensive

This example demonstrates the full capabilities of the Replicate provider in promptfoo, including text generation and image generation.

Environment Variables

This example requires:

REPLICATE_API_TOKEN - Your Replicate API key (get one at https://replicate.com/account/api-tokens)

Set this in your environment:

export REPLICATE_API_TOKEN=r8_your_api_token_here

Features Demonstrated

1. Text Generation with Llama 3

Uses Meta's Llama 3 8B Instruct model
Configurable temperature, token limits, and sampling parameters
Demonstrates creative writing and explanatory tasks

2. Image Generation with SDXL

Uses Stable Diffusion XL for high-quality image generation
Custom resolution settings (512x512 for faster generation)
Tests both photorealistic and artistic styles

Running the Example

Set your Replicate API token:

export REPLICATE_API_TOKEN=your_token_here

Run the evaluation:
```
promptfoo eval
```
View the results:
```
promptfoo view
```

Understanding the Configuration

Provider Configuration

providers:
  - id: replicate:meta/meta-llama-3-8b-instruct
    config:
      temperature: 0.5 # Balanced creativity
      max_new_tokens: 200 # Limit response length

Assertion Types

The example uses various assertion types:

contains-any: Checks for specific keywords
javascript: Custom validation logic
is-valid-openai-image-generation-response: Validates image URLs

Customization Ideas

Try Different Models:
- Text: replicate:meta/meta-llama-3-70b-instruct (larger, more capable)
- Images: replicate:image:playgroundai/playground-v2.5-1024px-aesthetic
Adjust Parameters:
- Increase temperature for more creative outputs
- Change image dimensions for different aspect ratios
- Modify num_inference_steps for quality vs speed tradeoff
Add More Tests:
- Code generation tasks
- Language translation
- Style transfer for images
- Different artistic styles

Troubleshooting

Rate Limits: Replicate has rate limits; add delays between tests if needed
Timeouts: Large models may take 30-60 seconds; the provider handles polling automatically
Image URLs: Generated images are temporary; save them if needed for long-term use

Cost Considerations

Text generation: ~$0.0005 per 1K tokens (Llama 3 8B)
Image generation: ~$0.012 per image (SDXL)
Check current pricing at https://replicate.com/pricing

FAQ

Common questions

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