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To use mistralā€™s models, please obtain the Mistral AI api key from their console. Set the MISTRAL_API_KEY environment variable to use the model as given below in the example.

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Usage

import os
from Zentry import Memory

os.environ["OPENAI_API_KEY"] = "your-api-key" # used for embedding model
os.environ["MISTRAL_API_KEY"] = "your-api-key"

config = {
    "llm": {
        "provider": "litellm",
        "config": {
            "model": "open-mixtral-8x7b",
            "temperature": 0.1,
            "max_tokens": 2000,
        }
    }
}

m = Memory.from_config(config)
messages = [
    {"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
    {"role": "assistant", "content": "How about a thriller movies? They can be quite engaging."},
    {"role": "user", "content": "Iā€™m not a big fan of thriller movies but I love sci-fi movies."},
    {"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
]
m.add(messages, user_id="alice", metadata={"category": "movies"})

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Config

All available parameters for the litellm config are present in Master List of All Params in Config.