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Overview

The Upsonic framework can use .env variable files or environment variables for LLM support. Once you provide the keys for various services, you can easily select the LLM by using the model parameter within the agents.

The supported LLMs are:

  • OpenAI

    • openai/gpt-4o

    • openai/o3-mini

  • Azure

    • azure/gpt-4o

  • Anthropic

    • claude/claude-3-5-sonnet

  • AWS Bedrock

    • bedrock/claude-3-5-sonnet

  • DeepSeek

    • deepseek/deepseek-chat

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Setting up .env

To use these LLMs, an example .env variable file is as follows. You can adjust the variables according to the LLM you want to use and fill in only the ones required. This .env file must be located in your working directory.


# OpenAI
OPENAI_API_KEY="sk-***"

# Anthropic
ANTHROPIC_API_KEY="sk-***"

# DeepSeek
DEEPSEEK_API_KEY="sk-**"

# AWS Bedrock
AWS_ACCESS_KEY_ID="**"
AWS_SECRET_ACCESS_KEY="***"
AWS_REGION="**-**"

# Azure
AZURE_OPENAI_ENDPOINT="https://**.com/"
AZURE_OPENAI_API_VERSION="****-**-**"
AZURE_OPENAI_API_KEY="***"

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Using an specific model in Agent

Using the model parameter, you can easily select which LLM each agent will use. You can refer to the example below:

from upsonic import Agent

product_manager_agent = Agent(
    "Product Manager",

    model="openai/gpt-4o" # Specify the model
)
Direct LLM CallTools