saroj rout
2247a45922
Merge https://github.com/google/adk-python/pull/3576 **Please ensure you have read the [contribution guide](https://github.com/google/adk-python/blob/main/CONTRIBUTING.md) before creating a pull request.** ### Link to Issue or Description of Change **1. Link to an existing issue (if applicable):** - Closes: #3557 - Related: #_issue_number_ **2. Or, if no issue exists, describe the change:** _If applicable, please follow the issue templates to provide as much detail as possible._ **Problem:** When creating a BaseAgent with multiple sub-agents, there was no validation to ensure that all sub-agents have unique names. This could lead to confusion when trying to find or reference specific sub-agents by name, as duplicate names would make it ambiguous which agent is being referenced. **Solution:** Added a @field_validator for the sub_agents field in BaseAgent that validates all sub-agents have unique names. The validator: Checks for duplicate names in the sub-agents list Raises a ValueError with a clear error message listing all duplicate names found Returns the validated list if all names are unique Handles edge cases like empty lists gracefully ### Testing Plan _Please describe the tests that you ran to verify your changes. This is required for all PRs that are not small documentation or typo fixes._ **Unit Tests:** - [x] I have added or updated unit tests for my change. - [x] All unit tests pass locally. _Please include a summary of passed `pytest` results._ Added 4 new test cases in tests/unittests/agents/test_base_agent.py: test_validate_sub_agents_unique_names_single_duplicate: Verifies that a single duplicate name raises ValueError test_validate_sub_agents_unique_names_multiple_duplicates: Verifies that multiple duplicate names are all reported in the error message test_validate_sub_agents_unique_names_no_duplicates: Verifies that unique names pass validation successfully test_validate_sub_agents_unique_names_empty_list: Verifies that empty sub-agents list passes validation All tests pass locally. You can run with: pytest tests/unittests/agents/test_base_agent.py::test_validate_sub_agents_unique_names_single_duplicate tests/unittests/agents/test_base_agent.py::test_validate_sub_agents_unique_names_multiple_duplicates tests/unittests/agents/test_base_agent.py::test_validate_sub_agents_unique_names_no_duplicates tests/unittests/agents/test_base_agent.py::test_validate_sub_agents_unique_names_empty_list -v **Manual End-to-End (E2E) Tests:** _Please provide instructions on how to manually test your changes, including any necessary setup or configuration. Please provide logs or screenshots to help reviewers better understand the fix._ Test Case 1: Duplicate names should raise error from google.adk.agents import Agent agent1 = Agent(name="sub_agent", model="gemini-2.5-flash") agent2 = Agent(name="sub_agent", model="gemini-2.5-flash") # Same name # This should raise ValueError try: parent = Agent( name="parent", model="gemini-2.5-flash", sub_agents=[agent1, agent2] ) except ValueError as e: print(f"Expected error: {e}") # Output: Found duplicate sub-agent names: `sub_agent`. All sub-agents must have unique names. Test Case 2: Unique names should work from google.adk.agents import Agent agent1 = Agent(name="agent1", model="gemini-2.5-flash") agent2 = Agent(name="agent2", model="gemini-2.5-flash") # This should work without error parent = Agent( name="parent", model="gemini-2.5-flash", sub_agents=[agent1, agent2] ) print("Success: Unique names validated correctly") ### Checklist - [x] I have read the [CONTRIBUTING.md](https://github.com/google/adk-python/blob/main/CONTRIBUTING.md) document. - [x] I have performed a self-review of my own code. - [x] I have commented my code, particularly in hard-to-understand areas. - [x] I have added tests that prove my fix is effective or that my feature works. - [x] New and existing unit tests pass locally with my changes. - [x] I have manually tested my changes end-to-end. - [x] Any dependent changes have been merged and published in downstream modules. ### Additional context This change adds validation at the BaseAgent level, so it automatically applies to all agent types that inherit from BaseAgent (e.g., LlmAgent, LoopAgent, etc.). The validation uses Pydantic's field validator system, which runs during object initialization, ensuring the constraint is enforced early and consistently. The error message clearly identifies which names are duplicated, making it easy for developers to fix the issue: COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/3576 from sarojrout:feat/validate-unique-sub-agent-names 07adf1f9a5fc935389eb9dfa3cbc1311f551ebe3 PiperOrigin-RevId: 835358118
Agent Development Kit (ADK)
An open-source, code-first Python framework for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Important Links: Docs, Samples, Java ADK, Go ADK & ADK Web.
</html>Agent Development Kit (ADK) is a flexible and modular framework that applies software development principles to AI agent creation. It is designed to simplify building, deploying, and orchestrating agent workflows, from simple tasks to complex systems. While optimized for Gemini, ADK is model-agnostic, deployment-agnostic, and compatible with other frameworks.
π₯ What's new
-
Custom Service Registration: Add a service registry to provide a generic way to register custom service implementations to be used in FastAPI server. See short instruction. (391628f)
-
Rewind: Add the ability to rewind a session to before a previous invocation (9dce06f).
-
New CodeExecutor: Introduces a new AgentEngineSandboxCodeExecutor class that supports executing agent-generated code using the Vertex AI Code Execution Sandbox API (ee39a89)
β¨ Key Features
-
Rich Tool Ecosystem: Utilize pre-built tools, custom functions, OpenAPI specs, MCP tools or integrate existing tools to give agents diverse capabilities, all for tight integration with the Google ecosystem.
-
Code-First Development: Define agent logic, tools, and orchestration directly in Python for ultimate flexibility, testability, and versioning.
-
Agent Config: Build agents without code. Check out the Agent Config feature.
-
Tool Confirmation: A tool confirmation flow(HITL) that can guard tool execution with explicit confirmation and custom input.
-
Modular Multi-Agent Systems: Design scalable applications by composing multiple specialized agents into flexible hierarchies.
-
Deploy Anywhere: Easily containerize and deploy agents on Cloud Run or scale seamlessly with Vertex AI Agent Engine.
π Installation
Stable Release (Recommended)
You can install the latest stable version of ADK using pip:
pip install google-adk
The release cadence is roughly bi-weekly.
This version is recommended for most users as it represents the most recent official release.
Development Version
Bug fixes and new features are merged into the main branch on GitHub first. If you need access to changes that haven't been included in an official PyPI release yet, you can install directly from the main branch:
pip install git+https://github.com/google/adk-python.git@main
Note: The development version is built directly from the latest code commits. While it includes the newest fixes and features, it may also contain experimental changes or bugs not present in the stable release. Use it primarily for testing upcoming changes or accessing critical fixes before they are officially released.
π€ Agent2Agent (A2A) Protocol and ADK Integration
For remote agent-to-agent communication, ADK integrates with the A2A protocol. See this example for how they can work together.
π Documentation
Explore the full documentation for detailed guides on building, evaluating, and deploying agents:
π Feature Highlight
Define a single agent:
from google.adk.agents import Agent
from google.adk.tools import google_search
root_agent = Agent(
name="search_assistant",
model="gemini-2.5-flash", # Or your preferred Gemini model
instruction="You are a helpful assistant. Answer user questions using Google Search when needed.",
description="An assistant that can search the web.",
tools=[google_search]
)
Define a multi-agent system:
Define a multi-agent system with coordinator agent, greeter agent, and task execution agent. Then ADK engine and the model will guide the agents works together to accomplish the task.
from google.adk.agents import LlmAgent, BaseAgent
# Define individual agents
greeter = LlmAgent(name="greeter", model="gemini-2.5-flash", ...)
task_executor = LlmAgent(name="task_executor", model="gemini-2.5-flash", ...)
# Create parent agent and assign children via sub_agents
coordinator = LlmAgent(
name="Coordinator",
model="gemini-2.5-flash",
description="I coordinate greetings and tasks.",
sub_agents=[ # Assign sub_agents here
greeter,
task_executor
]
)
Development UI
A built-in development UI to help you test, evaluate, debug, and showcase your agent(s).
Evaluate Agents
adk eval \
samples_for_testing/hello_world \
samples_for_testing/hello_world/hello_world_eval_set_001.evalset.json
π€ Contributing
We welcome contributions from the community! Whether it's bug reports, feature requests, documentation improvements, or code contributions, please see our
- General contribution guideline and flow.
- Then if you want to contribute code, please read Code Contributing Guidelines to get started.
Community Repo
We have adk-python-community repothat is home to a growing ecosystem of community-contributed tools, third-party service integrations, and deployment scripts that extend the core capabilities of the ADK.
Vibe Coding
If you are to develop agent via vibe coding the llms.txt and the llms-full.txt can be used as context to LLM. While the former one is a summarized one and the later one has the full information in case your LLM has big enough context window.
Community Events
- [Completed] ADK's 1st community meeting on Wednesday, October 15, 2025. Remember to join our group to get access to the recording, and deck.
π License
This project is licensed under the Apache 2.0 License - see the LICENSE file for details.
Happy Agent Building!