mistral-cookbook

Mistral AI Integration Cookbook for HoneyHive

This cookbook demonstrates how to integrate Mistral AI with HoneyHive for observability in Large Language Model (LLM) applications.

Overview

Mistral AI is a model provider offering cutting-edge large language models, including the open-source Mistral 7B model. Mistral provides a cloud API that allows you to use their models for inference without hosting them yourself.

This cookbook covers:

• Setting up authentication with Mistral AI
• Making inference calls to Mistral's models
• Integrating with HoneyHive for observability
• Building applications with Mistral's chat completion and embedding capabilities

Contents

• mistral_integration.ipynb: Jupyter notebook with step-by-step examples
• README.md: This documentation file

Prerequisites

• Python 3.8+
• Mistral AI account and API key
• HoneyHive account and API key

Quick Start

1. Install the required packages:

   pip install mistralai==0.2.0 honeyhive

2. Set up your environment variables:

   export MISTRAL_API_KEY="your_mistral_api_key"
   export HONEYHIVE_API_KEY="your_honeyhive_api_key"

3. Open and run the Jupyter notebook:

   jupyter notebook mistral_integration.ipynb

Key Features

• Mistral Cloud API: Connect to Mistral's hosted models
• Chat Completion: Generate text responses with Mistral's models
• Streaming Support: Stream tokens incrementally for real-time applications
• Embeddings: Generate vector representations of text
• HoneyHive Tracing: Automatic instrumentation of Mistral API calls
• Performance Monitoring: Track latency and model performance

Model Options

Mistral offers several model variants, including:

• mistral-small-latest: Optimized for speed
• mistral-medium-latest: Balanced performance
• mistral-large-latest: Highest quality responses
• mistral-embed: For generating embeddings

Additional Resources

• Mistral AI Documentation
• HoneyHive Documentation
• Mistral AI GitHub

Support

For questions about this cookbook, please contact the HoneyHive team or visit honeyhive.ai.