# Application Integration Agent Sample ## Introduction This sample demonstrates how to use the `ApplicationIntegrationToolset` within an ADK agent to interact with external applications, specifically Jira in this case. The agent (`agent.py`) is configured to manage Jira issues using a pre-configured Application Integration connection. ## Prerequisites 1. **Set up Integration Connection:** * You need an existing [Integration connection](https://cloud.google.com/integration-connectors/docs/overview) configured to interact with your Jira instance. Follow the [documentation](https://google.github.io/adk-docs/tools/google-cloud-tools/#use-integration-connectors) to provision the Integration Connector in Google Cloud and then use this [documentation](https://cloud.google.com/integration-connectors/docs/connectors/jiracloud/configure) to create an JIRA connection. Note the `Connection Name`, `Project ID`, and `Location` of your connection. * 2. **Configure Environment Variables:** * Create a `.env` file in the same directory as `agent.py` (or add to your existing one). * Add the following variables to the `.env` file, replacing the placeholder values with your actual connection details: ```dotenv CONNECTION_NAME= CONNECTION_PROJECT= CONNECTION_LOCATION= ``` ## How to Use 1. **Install Dependencies:** Ensure you have the necessary libraries installed (e.g., `google-adk`, `python-dotenv`). 2. **Run the Agent:** Execute the agent script from your terminal: ```bash python agent.py ``` 3. **Interact:** Once the agent starts, you can interact with it by typing prompts related to Jira issue management. ## Sample Prompts Here are some examples of how you can interact with the agent: * `Can you list me all the issues ?` * `Can you list me all the projects ?` * `Can you create an issue: "Bug in product XYZ" in project ABC ?`