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Josh SorefandCopybara-Service
aa1233608a
Merge https://github.com/google/adk-python/pull/2447 This PR corrects misspellings identified by the [check-spelling action](https://github.com/marketplace/actions/check-spelling) The misspellings have been reported at https://github.com/jsoref/adk-python/actions/runs/16840838898/attempts/1#summary-47711379253 The action reports that the changes in this PR would make it happy: https://github.com/jsoref/adk-python/actions/runs/16840839269/attempts/1#summary-47711380479 Note: while I use tooling to identify errors, the tooling doesn't _actually_ provide the corrections, I'm picking them on my own. I'm a human, and I may make mistakes. I've included a couple of changes to make CI happy. Personally, I object to CI being in a state of "random drive by person who adds a blank line in the middle of a file must fix all the preexisting bugs in the file", but that appears to be the state for this repository. COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/2447 from jsoref:spelling d85398e7fd154d124d477c6af6181481a01f34e0 PiperOrigin-RevId: 827629615
40 lines
2.0 KiB
Markdown
40 lines
2.0 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 an Jira connection. Note the `Connection Name`, `Project ID`, and `Location` of your connection.
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*
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2. **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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2. **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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3. **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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