Integrate Llama with Azure AI Foundry
Prompt workflow demonstrating integration of Meta Llama models on Azure AI Foundry with promptfoo for testing and evaluation.
Why it matters
Leverage Meta's Llama models on Azure AI Foundry for advanced AI applications. This asset facilitates seamless integration, enabling powerful natural language processing and generation capabilities within your Azure environment.
Outcomes
What it gets done
Connect Llama models to Azure AI Foundry.
Utilize promptfoo for efficient prompt management and testing.
Enable advanced AI functionalities like summarization and chatbots.
Streamline AI development within the Azure ecosystem.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/pfoo-llama | bash Capabilities
What this chain does
Chunks, embeds, and indexes documents for semantic retrieval.
Condenses long documents or threads into key takeaways.
Handles multi-turn conversations within a defined domain.
Overview
Llama
What it does
This example workflow shows how to configure and use Meta Llama models deployed on Azure AI Foundry with promptfoo, a testing and evaluation framework. It provides the integration pattern needed to connect promptfoo to Azure-hosted Llama endpoints.
How it connects
Use this when you need to set up testing and evaluation for Meta Llama models running on Azure AI Foundry. It's ideal for teams adopting promptfoo who want a working reference implementation for Azure's Llama deployment.
Source README
This example demonstrates how to use Meta Llama models on Azure AI Foundry with promptfoo.
Discussion
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