Milen Kovachev
3cbcefce9f
Merge https://github.com/google/adk-python/pull/6155 **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):** N/A **2. Or, if no issue exists, describe the change:** **Problem:** The repository is missing Apache 2.0 license headers across 155 files. This is required by Google OSPO. **Solution:** Prepended the standard Apache 2.0 open-source license header to all flagged files. The copyright year was dynamically assigned based on each file's first commit year in git history. ### 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:** - [ ] I have added or updated unit tests for my change. - [x] All unit tests pass locally. _Please include a summary of passed `pytest` results._ N/A - This PR only adds comments (license headers) to the top of files and contains zero functional code changes. No new tests are needed, and existing tests should pass as-is. **Manual End-to-End (E2E) Tests:** N/A - No functional code was changed. ### 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. - [ ] I have commented my code, particularly in hard-to-understand areas. - [ ] 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. - [ ] I have manually tested my changes end-to-end. - [ ] Any dependent changes have been merged and published in downstream modules. ### Additional context Co-authored-by: Shangjie Chen <deanchen@google.com> COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/6155 from milenvk:fix-missing-licenses d2a264b9a812fd997daf975ec37996e6b4b7a042 PiperOrigin-RevId: 936165783
Config-based Agent Sample - Learning Assistant
This sample demonstrates a minimal multi-agent setup with a learning assistant that delegates to specialized tutoring agents.
Structure
root_agent.yaml- Main learning assistant agent that routes questions to appropriate tutorscode_tutor_agent.yaml- Specialized agent for programming and coding questionsmath_tutor_agent.yaml- Specialized agent for mathematical concepts and problems
Usage
The root agent will automatically delegate:
- Coding/programming questions →
code_tutor_agent - Math questions →
math_tutor_agent
This example shows how to create a simple multi-agent system without tools, focusing on clear delegation and specialized expertise.
Sample Queries
Coding Questions
"How do I create a for loop in Python?"
"Can you help me debug this function?"
"What are the best practices for variable naming?"
Math Questions
"Can you explain the quadratic formula?"
"How do I solve this algebra problem: 2x + 5 = 15?"
"What's the difference between mean and median?"