Summarize Amazon Bedrock Information
Amazon Bedrock examples for promptfoo including Claude, Llama, Mistral, Nova, DeepSeek, Qwen, Grok models, agents with tool use and knowledge bases, and video
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Why it matters
Leverage Amazon Bedrock to efficiently research and summarize information from various sources, providing concise and actionable insights.
Outcomes
What it gets done
Ingest and process data from Amazon Bedrock.
Perform web searches to gather relevant information.
Generate summaries of complex topics.
Index information for quick retrieval.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/pfoo-amazon-bedrock | bash Overview
Amazon Bedrock
Examples for using promptfoo with Amazon Bedrock When you need example configurations for promptfoo with Amazon Bedrock models, agents, or video generation
What it does
This collection contains examples for using promptfoo with Amazon Bedrock. It includes model examples covering Claude, Llama, Mistral, Nova, DeepSeek, Qwen, Grok, and more. It also includes examples for Bedrock Agents with tool use and knowledge bases, and video generation with Amazon Nova Reel.
When to use - and when NOT to
Use this when you want examples of using promptfoo with Amazon Bedrock models, agents, or video generation capabilities.
Do not use this if you are not working with Amazon Bedrock or promptfoo.
Inputs and outputs
The source material provides example configurations for models, agents, and video generation with Amazon Bedrock.
Integrations
promptfoo - The evaluation framework these examples are designed for.
Amazon Bedrock - The AWS managed service providing access to foundation models including Claude, Llama, Mistral, Nova, DeepSeek, Qwen, and Grok.
Bedrock Agents - Amazon's agent framework with tool use and knowledge base capabilities, covered in the agents examples.
Amazon Nova Reel - The video generation capability covered in the video examples.
Who it's for
Users working with promptfoo and Amazon Bedrock who want example configurations for models, agents, or video generation.
Source README
FAQ
Common questions
Discussion
Questions & comments · 0
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