⚡Webhooks

Allow Agents to respond to third party systems events

Webhooks are still in beta

Webhooks serve as a powerful mechanism to enable automated responses from an Agent to events occurring within third-party systems, utilizing standard RESTful calls for communication. This feature allows for sophisticated integration, where the Agent can perform actions based on specific events, such as a GitHub pull request being opened. The process for setting up and utilizing webhooks is structured into key components for clarity and efficiency:

Configuring Webhooks

To leverage webhooks, you need to configure them to listen for specific events in third-party systems. This involves specifying which events should trigger the webhook and detailing the actions that the Agent should take in response.

AI Instructions Prompt

As part of the webhook configuration, you must provide AI instructions in the form of a prompt. This prompt guides the Agent on how to process the event, detailing the operations to perform with the context of the event's data.

Agent Selection

You have the flexibility to select the relevant Agent best suited for handling the task at hand. This ensures that the response is managed by the most appropriate resources, optimizing efficiency and effectiveness.

Dynamic Data Parsing with JMESPath

To enhance the utility and efficiency of webhooks, JMESPath can be integrated into the prompt template. This integration allows for the dynamic parsing of the event data, enabling you to refine the information sent to the Agent. Rather than working with the entire event payload, JMESPath helps extract only the essential data needed for the Agent to act on, ensuring a focused and relevant response to the event.

By structuring the webhook setup process around these components, you can create a streamlined and effective mechanism for your Agent to interact with third-party systems, responding to events with precision and contextual relevance.