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41 lines
1.9 KiB
Markdown
41 lines
1.9 KiB
Markdown
# Application Integration Agent Sample
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## Introduction
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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.
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## Prerequisites
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1. **Set up Integration Connection:**
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- 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 a Jira connection. Note the `Connection Name`, `Project ID`, and `Location` of your connection.
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-
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1. **Configure Environment Variables:**
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- Create a `.env` file in the same directory as `agent.py` (or add to your existing one).
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- Add the following variables to the `.env` file, replacing the placeholder values with your actual connection details:
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```dotenv
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CONNECTION_NAME=<YOUR_JIRA_CONNECTION_NAME>
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CONNECTION_PROJECT=<YOUR_GOOGLE_CLOUD_PROJECT_ID>
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CONNECTION_LOCATION=<YOUR_CONNECTION_LOCATION>
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```
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## How to Use
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1. **Install Dependencies:** Ensure you have the necessary libraries installed (e.g., `google-adk`, `python-dotenv`).
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1. **Run the Agent:** Execute the agent script from your terminal:
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```bash
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python agent.py
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```
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1. **Interact:** Once the agent starts, you can interact with it by typing prompts related to Jira issue management.
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## Sample Prompts
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Here are some examples of how you can interact with the agent:
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- `Can you list me all the issues ?`
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- `Can you list me all the projects ?`
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- `Can you create an issue: "Bug in product XYZ" in project ABC ?`
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