mirror of
https://github.com/google/adk-docs.git
synced 2026-09-14 16:16:59 +08:00
de510f8059
* 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>
1.7 KiB
1.7 KiB
catalog_title, catalog_description, catalog_icon, catalog_tags
| catalog_title | catalog_description | catalog_icon | catalog_tags | ||
|---|---|---|---|---|---|
| Data Agents | Analyze data with AI-powered agents | /integrations/assets/agent-platform.svg |
|
Google Cloud Data Agents tool for ADK
Supported in ADKPython v1.23.0
These are a set of tools aimed to provide integration with Data Agents powered by Conversational Analytics API.
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.
Prerequisites
Before using these tools, you must build and configure your Data Agents in Google Cloud:
- Build a data agent using HTTP and Python
- Build a data agent using the Python SDK
- Create a data agent in BigQuery Studio
The DataAgentToolset includes the following tools:
list_accessible_data_agents: Lists Data Agents you have permission to access in the configured GCP project.get_data_agent_info: Retrieves details about a specific Data Agent given its full resource name.ask_data_agent: Chats with a specific Data Agent using natural language.
They are packaged in the toolset DataAgentToolset.
--8<-- "examples/python/snippets/tools/built-in-tools/data_agent.py"