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Shobhit Singh
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* docs: remove experimental banner from data agent tools * Update data-agent.md also remove "Experimental" tag subheader --------- Co-authored-by: Joe Fernandez <931947+joefernandez@users.noreply.github.com>
37 lines
1.7 KiB
Markdown
37 lines
1.7 KiB
Markdown
---
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catalog_title: Data Agents
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catalog_description: Analyze data with AI-powered agents
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catalog_icon: /integrations/assets/agent-platform.svg
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catalog_tags: ["data", "google"]
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---
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# Google Cloud Data Agents tool for ADK
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<div class="language-support-tag">
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<span class="lst-supported">Supported in ADK</span><span class="lst-python">Python v1.23.0</span>
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</div>
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These are a set of tools aimed to provide integration with Data Agents powered by [Conversational Analytics API](https://docs.cloud.google.com/gemini/docs/conversational-analytics-api/overview).
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Data Agents are AI-powered agents that help you analyze your data using natural language. When configuring a Data Agent, you can choose from supported data sources, including **BigQuery**, **Looker**, and **Looker Studio**.
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**Prerequisites**
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Before using these tools, you must build and configure your Data Agents in Google Cloud:
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* [Build a data agent using HTTP and Python](https://docs.cloud.google.com/gemini/docs/conversational-analytics-api/build-agent-http)
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* [Build a data agent using the Python SDK](https://docs.cloud.google.com/gemini/docs/conversational-analytics-api/build-agent-sdk)
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* [Create a data agent in BigQuery Studio](https://docs.cloud.google.com/bigquery/docs/create-data-agents#create_a_data_agent)
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The `DataAgentToolset` includes the following tools:
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* **`list_accessible_data_agents`**: Lists Data Agents you have permission to access in the configured GCP project.
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* **`get_data_agent_info`**: Retrieves details about a specific Data Agent given its full resource name.
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* **`ask_data_agent`**: Chats with a specific Data Agent using natural language.
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They are packaged in the toolset `DataAgentToolset`.
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```py
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--8<-- "examples/python/snippets/tools/built-in-tools/data_agent.py"
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```
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