Prompt Chain

Summarize Web Content with Replicate

Promptfoo example comparing GPT-4.1-mini against a Replicate-hosted Llama 2 model reached through an OpenAI-compatible proxy endpoint.


78
Spark score
out of 100
Updated 10 days ago
Source checked Sep 10, 2026
Version 0.123.0
Models
gpt 4ollama 3

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Why it matters

Leverage the Replicate API to process and summarize web content, extracting key information and insights.

Outcomes

What it gets done

01

Fetch content from specified URLs.

02

Process and analyze the fetched content.

03

Generate concise summaries of the information.

04

Extract relevant data points from the content.

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-lifeboat | 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 Lifeboat

This promptfoo example compares GPT-4.1-mini against Llama 2 70B Chat accessed through Replicate's OpenAI-compatible Lifeboat proxy endpoint. Use it when a Replicate-hosted model needs to be accessed via an OpenAI-shaped API rather than promptfoo's native Replicate provider.

What it does

This promptfoo example compares openai:chat:gpt-4.1-mini against meta/llama-2-70b-chat accessed through Replicate's "Lifeboat" OpenAI-compatible proxy (apiBaseUrl: https://openai-proxy.replicate.com), letting a Replicate-hosted model be called with the standard openai:chat: provider syntax instead of Replicate's native provider format. Both run at temperature: 0.01 with a 512-token cap on the same conversational prompts.

When to use - and when NOT to

Use this example when you want to query a Replicate-hosted model through an OpenAI-shaped client/API rather than promptfoo's native replicate: provider - useful if your tooling only supports the OpenAI chat completion interface. It is scoped to conversational, factual-honesty-style prompts (weather knowledge, hippo swimming, Henry VIII's grandchildren, a coding task); several prompts have no automated assertion and are left for manual review.

Inputs and outputs

The Llama 2 provider config points the OpenAI-compatible client at Replicate's proxy endpoint instead of OpenAI's:

  - id: openai:chat:meta/llama-2-70b-chat
    config:
      apiKey: '...'
      apiBaseUrl: https://openai-proxy.replicate.com
      temperature: 0.01
      max_tokens: 512

Tests assert factual-honesty stances via llm-rubric on select prompts (e.g. "says that hippos are NOT good swimmers"), matching the same conversational test set used in other Claude/GPT/Llama comparison examples in this collection.

Integrations

Runs openai:chat:gpt-4.1-mini against OpenAI directly and meta/llama-2-70b-chat through Replicate's OpenAI-compatible "Lifeboat" proxy endpoint, using promptfoo's llm-rubric assertion type.

Who it's for

Developers who want to access a Replicate-hosted model via an OpenAI-compatible API surface (rather than promptfoo's native Replicate provider) and compare its conversational responses against GPT-4.1-mini.

Source README

provider-replicate/lifeboat (Replicate Lifeboat)

You can run this example with:

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

Usage

To get started, set your OpenAI and Replicate API tokens in promptfooconfig.yaml.

Then, add your test cases.

Then run:

promptfoo eval

Afterwards, you can view the results by running promptfoo view

FAQ

Common questions

Discussion

Questions & comments · 0

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