Overview

Inspiration

• the project that won the previous Mistral SF hackathon: a prompt engineering assistant powered by AI, l'Invite Parfaite: if it has been done for prompts, it can be done for implementing Mistral functions too.
• Wilfred's previous job, where he was in charge of connecting our IoT cloud to multiple external APIs._

What it does

• Magistral Wizard: an universal external APIs to Mistral AI functions converter, it takes those API specifications (Swagger, GraphQL, custom format) or documentation (with NLU) as input and produces the tools logic for Mistral AI. We wanted to be impactful for Mistral and the innovation ecosystem.
• Magistral Multi-Agent conversation : tailored to support a wide range of use-cases, including calling external APIs thanks to Magistral Wizard

How we built it

• Python
• Mistral AI client API
• NiceGUI library
• Prompt-Engineering

Challenges we ran into

• The solutions provided by AI are not 100% perfect
• Short-time

Accomplishments that we're proud of

• First working prototype

What we learned

• Mistral AI functions
• Prompt-engineering
• During the hackathons : AWS SageMaker, Weight & Biases, and HuggingFace workshops

What's next for MagisTral

• Integrate it natively in Mistral.AI "La Plateforme"

Other idea we had

• Integrate vision
• Prune and quantize the Mistral open-source model for targeting mobile inference

Screenshots/Demos