To use Azure OpenAI models, you have to set the LLM_AZURE_OPENAI_API_KEY, LLM_AZURE_ENDPOINT, LLM_AZURE_DEPLOYMENT and LLM_AZURE_API_VERSION environment variables. You can obtain the Azure API key from the Azure.

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Usage

import os
from mem0 import Memory

os.environ["LLM_AZURE_OPENAI_API_KEY"] = "your-api-key"
os.environ["LLM_AZURE_DEPLOYMENT"] = "your-deployment-name"
os.environ["LLM_AZURE_ENDPOINT"] = "your-api-base-url"
os.environ["LLM_AZURE_API_VERSION"] = "version-to-use"

config = {
    "llm": {
        "provider": "azure_openai",
        "config": {
            "model": "your-deployment-name",
            "temperature": 0.1,
            "max_tokens": 2000,
             "azure_kwargs" : {
                  "azure_deployment" : "",
                  "api_version" : "",
                  "azure_endpoint" : "",
                  "api_key" : ""
              }
        }
    }
}

m = Memory.from_config(config)
m.add("Likes to play cricket on weekends", user_id="alice", metadata={"category": "hobbies"})

We also support the new OpenAI structured-outputs model.

import os
from mem0 import Memory

os.environ["LLM_AZURE_OPENAI_API_KEY"] = "your-api-key"
os.environ["LLM_AZURE_DEPLOYMENT"] = "your-deployment-name"
os.environ["LLM_AZURE_ENDPOINT"] = "your-api-base-url"
os.environ["LLM_AZURE_API_VERSION"] = "version-to-use"

config = {
    "llm": {
        "provider": "azure_openai_structured",
        "config": {
            "model": "your-deployment-name",
            "temperature": 0.1,
            "max_tokens": 2000,
             "azure_kwargs" : {
                  "azure_deployment" : "",
                  "api_version" : "",
                  "azure_endpoint" : "",
                  "api_key" : ""
              }
        }
    }
}

​
Config

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

AnthropicOllama