From cd216059cc63a5c8d1be6eb930cc7b40b5ec49b8 Mon Sep 17 00:00:00 2001 From: adk-bot Date: Thu, 20 Nov 2025 01:11:11 +0000 Subject: [PATCH] Update Python version requirement to 3.10 --- docs/get-started/python.md | 4 ++-- docs/get-started/quickstart.md | 4 ++-- docs/grounding/google_search_grounding.md | 4 ++-- docs/grounding/vertex_ai_search_grounding.md | 4 ++-- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/docs/get-started/python.md b/docs/get-started/python.md index b1f162ff69..9c7ff48d6c 100644 --- a/docs/get-started/python.md +++ b/docs/get-started/python.md @@ -3,7 +3,7 @@ This guide shows you how to get up and running with Agent Development Kit (ADK) for Python. Before you start, make sure you have the following installed: -* Python 3.9 or later +* Python 3.10 or later * `pip` for installing packages ## Installation @@ -146,4 +146,4 @@ upper left corner and type a request. Now that you have ADK installed and your first agent running, try building your own agent with our build guides: -* [Build your agent](/adk-docs/tutorials/) +* [Build your agent](/adk-docs/tutorials/) \ No newline at end of file diff --git a/docs/get-started/quickstart.md b/docs/get-started/quickstart.md index 54d37440b5..cf2942c691 100644 --- a/docs/get-started/quickstart.md +++ b/docs/get-started/quickstart.md @@ -6,7 +6,7 @@ setting up a basic agent with multiple tools, and running it locally either in t This quickstart assumes a local IDE (VS Code, PyCharm, IntelliJ IDEA, etc.) -with Python 3.9+ or Java 17+ and terminal access. This method runs the +with Python 3.10+ or Java 17+ and terminal access. This method runs the application entirely on your machine and is recommended for internal development. ## 1. Set up Environment & Install ADK { #set-up-environment-install-adk } @@ -443,4 +443,4 @@ You've successfully created and interacted with your first agent using ADK! section for deeper dives into project structure, configuration, and other interfaces. * **Understand Core Concepts:** Learn about - [agents concepts](../agents/index.md). + [agents concepts](../agents/index.md). \ No newline at end of file diff --git a/docs/grounding/google_search_grounding.md b/docs/grounding/google_search_grounding.md index 7ae8b41ae8..8086d8b3d5 100644 --- a/docs/grounding/google_search_grounding.md +++ b/docs/grounding/google_search_grounding.md @@ -19,7 +19,7 @@ As an additional resource, [Gemini Fullstack Agent Development Kit (ADK) Quickst ## Google Search Grounding Quickstart -This quickstart guides you through creating an ADK agent with Google Search grounding feature. This quickstart assumes a local IDE (VS Code or PyCharm, etc.) with Python 3.9+ and terminal access. +This quickstart guides you through creating an ADK agent with Google Search grounding feature. This quickstart assumes a local IDE (VS Code or PyCharm, etc.) with Python 3.10+ and terminal access. ### 1. Set up Environment & Install ADK { #set-up-environment-install-adk } @@ -297,4 +297,4 @@ Google Search Grounding transforms AI agents from static knowledge repositories - Deliver comprehensive answers with verifiable facts - Enhance user experience with relevant search suggestions -The grounding process seamlessly connects user queries to Google's vast search index, enriching responses with up-to-date context while maintaining the conversational flow. With proper implementation and display of grounded responses, your agents become powerful tools for information discovery and decision-making. +The grounding process seamlessly connects user queries to Google's vast search index, enriching responses with up-to-date context while maintaining the conversational flow. With proper implementation and display of grounded responses, your agents become powerful tools for information discovery and decision-making. \ No newline at end of file diff --git a/docs/grounding/vertex_ai_search_grounding.md b/docs/grounding/vertex_ai_search_grounding.md index ae74512e00..ab6452d6bc 100644 --- a/docs/grounding/vertex_ai_search_grounding.md +++ b/docs/grounding/vertex_ai_search_grounding.md @@ -15,7 +15,7 @@ In this guide, you'll discover: ## Vertex AI Search Grounding Quickstart -This quickstart guides you through creating an ADK agent with Vertex AI Search grounding feature. This quickstart assumes a local IDE (VS Code or PyCharm, etc.) with Python 3.9+ and terminal access. +This quickstart guides you through creating an ADK agent with Vertex AI Search grounding feature. This quickstart assumes a local IDE (VS Code or PyCharm, etc.) with Python 3.10+ and terminal access. ### 1. Prepare Vertex AI Search { #prepare-vertex-ai-search } @@ -316,4 +316,4 @@ Vertex AI Search Grounding transforms AI agents from general-purpose assistants - Deliver comprehensive answers with verifiable enterprise facts - Maintain data privacy within your Google Cloud environment -The grounding process seamlessly connects user queries to your organization's knowledge base, enriching responses with relevant context from your private documents while maintaining the conversational flow. With proper implementation, your agents become powerful tools for enterprise information discovery and decision-making. +The grounding process seamlessly connects user queries to your organization's knowledge base, enriching responses with relevant context from your private documents while maintaining the conversational flow. With proper implementation, your agents become powerful tools for enterprise information discovery and decision-making. \ No newline at end of file