Making your Agents more Aware with Custom Contexts

Introduction

In BrainSoup, contexts play a pivotal role in enhancing agent interactions by providing them with dynamic data reflective of real-world scenarios. To learn more about contexts in BrainSoup, you can refer to this dedicated article. The current article focuses on Custom Contexts—how to create them, use them, and understand their impact on agent performance.

Possible Uses

Custom Contexts can serve multiple purposes:

• Environmental Awareness: Equip agents with the ability to perceive and interact with both virtual and physical environments through real-time data.
• Core Knowledge Base: Establish a foundational dataset that agents can constantly reference for informed reasoning and decision-making.

How to Create a Custom Context

Creating a Custom Context involves defining a JSON-formatted file that represents the specific data you wish to inject into an agent's working memory. Here’s a step-by-step guide:

Step1: Define Your Data

Start by identifying the information critical for your agent's operation. This could be anything from weather conditions for an event planning agent to stock market data for a financial advisor agent.

Step2: Format Your Data

Structure this information in JSON format. The structure is freeform, but it should be clear and concise to ensure efficient processing. For example:

{
    "temperature": "22C",
    "humidity": "78%",
    "condition": "Sunny"
}

To learn more about JSON formatting, you can refer to this guide.

Step3: Save Your File

Place this JSON file in the BrainSoup's C:\Users\<YourUsername>\AppData\Roaming\BrainSoup\Context directory. The name of the file will be the subject of your context (e.g., WeatherData.json ).

Subscribing to Custom Contexts

Agents or chat rooms can subscribe to these contexts through their settings.

To subscribe an agent:

1. Access the agent's settings.
2. Navigate to the 'Context subscriptions' section.
3. Add the subject of your context (e.g., WeatherData ) to the list.

To subscribe a chat room:

1. Open the chat room settings.
2. Navigate to the 'Context subscriptions' section.
3. Add the subject of your context to the list.

This process links the agent or chat room to your Custom Context, enabling it to access and utilize the provided data.

Considerations Regarding Context Size and Agent Working Memory

The size of your context should be managed carefully; larger contexts consume some of the agent's working memory, potentially increasing response times and usage costs. Ensure your context data is concise and non-redundant to maximize efficiency.

Conclusion

Custom Contexts are a powerful feature in BrainSoup that allow for significant customization and flexibility in how agents perceive and interact with their environment. By following these guidelines, you can effectively create and utilize Custom Contexts to enhance your agents' capabilities and responsiveness to dynamic data.