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6729edd08e
This change renames the sample agent based on the Google API based tools to reflect the larger purpose and avoid confusion with the built-in BigQuery tools. In addition, it also renames the root agent in the BigQuery sample agent to "bigquery_agent" PiperOrigin-RevId: 775655226
47 lines
1.9 KiB
Markdown
47 lines
1.9 KiB
Markdown
# Google API Tools Sample
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## Introduction
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This sample tests and demos Google API tools available in the
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`google.adk.tools.google_api_tool` module. We pick the following BigQuery API
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tools for this sample agent:
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1. `bigquery_datasets_list`: List user's datasets.
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2. `bigquery_datasets_get`: Get a dataset's details.
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3. `bigquery_datasets_insert`: Create a new dataset.
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4. `bigquery_tables_list`: List all tables in a dataset.
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5. `bigquery_tables_get`: Get a table's details.
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6. `bigquery_tables_insert`: Insert a new table into a dataset.
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## How to use
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1. Follow https://developers.google.com/identity/protocols/oauth2#1.-obtain-oauth-2.0-credentials-from-the-dynamic_data.setvar.console_name. to get your client id and client secret.
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Be sure to choose "web" as your client type.
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2. Configure your `.env` file to add two variables:
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* OAUTH_CLIENT_ID={your client id}
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* OAUTH_CLIENT_SECRET={your client secret}
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Note: don't create a separate `.env` file , instead put it to the same `.env` file that stores your Vertex AI or Dev ML credentials
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3. Follow https://developers.google.com/identity/protocols/oauth2/web-server#creatingcred to add http://localhost/dev-ui/ to "Authorized redirect URIs".
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Note: localhost here is just a hostname that you use to access the dev ui, replace it with the actual hostname you use to access the dev ui.
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4. For 1st run, allow popup for localhost in Chrome.
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## Sample prompt
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* `Do I have any datasets in project sean-dev-agent ?`
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* `Do I have any tables under it ?`
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* `could you get me the details of this table ?`
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* `Can you help to create a new dataset in the same project? id : sean_test , location: us`
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* `could you show me the details of this new dataset ?`
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* `could you create a new table under this dataset ? table name : sean_test_table. column1 : name is id , type is integer, required. column2 : name is info , type is string, required. column3 : name is backup , type is string, optional.`
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