Samples/resiliency #44
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Summary of ChangesHello @sarojrout, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request adds a comprehensive sample to the ADK community repository, focusing on building resilient multi-agent applications. It provides practical examples and tools to manage common challenges like agent timeouts and failures, ensuring smoother operation and better user experience. The sample demonstrates how to implement robust error handling, retry mechanisms, and intelligent agent fallbacks, offering a blueprint for developers to create more reliable agent-based systems. Highlights
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Code Review
This pull request introduces an excellent and valuable sample demonstrating resiliency patterns such as timeouts, retries, and fallbacks in a multi-agent system. The code is well-structured, and the examples are clear and helpful. I've identified a critical issue with a filename that will prevent the Python package from being recognized, along with several medium-severity issues related to unused imports, a redundant variable, and code organization that will improve maintainability.
…community into samples/resiliency
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/gemini review |
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Code Review
This pull request introduces an excellent and comprehensive sample for demonstrating agent resiliency patterns, including timeouts, retries, and fallbacks. The code is well-structured, with a clear separation of concerns that makes it easy to understand. The use of a custom TimeoutAgentTool and the ReflectAndRetryToolPlugin effectively showcases the capabilities of the ADK. I have a few minor suggestions to improve code clarity and fix a typo in the documentation.
| ├── agent.py # Agent definitions with resilience patterns | ||
| ├── test_helpers.py # Test utilities for simulating timeouts and failures | ||
| ├── test_example.py # Example script demonstrating how to test the sample | ||
| ├── __Init__.py # Package initialization |
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There is a typo in the filename within the sample structure diagram. Python package initialization files are conventionally named __init__.py in all lowercase.
| ├── __Init__.py # Package initialization | |
| ├── __init__.py # Package initialization |
| plugins=[retry_plugin], | ||
| ) | ||
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| root_agent = coordinator_agent No newline at end of file |
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The root_agent variable is redundant as it's assigned the coordinator_agent, which is already set as the root_agent for the app instance on line 245. This variable is also not used elsewhere in the sample. To improve code clarity and avoid redundancy, it's best to remove this line.
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| from google.adk.runners import Runner | ||
| from google.adk.tools import AgentTool | ||
| from agent import coordinator_agent, app, TimeoutAgentTool |
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The app variable is imported from the agent module but is not used anywhere in this file. Removing unused imports helps keep the code clean and maintainable.
| from agent import coordinator_agent, app, TimeoutAgentTool | |
| from agent import coordinator_agent, TimeoutAgentTool |
| print("=" * 60) | ||
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| # Create a coordinator with timeout_test_agent wrapped in TimeoutAgentTool | ||
| from agent import Agent |
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This Agent class is imported locally within the function. According to PEP 8 style guidelines, imports should be placed at the top of the file. This improves readability and makes dependencies clear. Please remove this local import and add from google.adk import Agent at the top of the file.
| print("=" * 60) | ||
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| # Create a coordinator with failure_test_agent | ||
| from agent import Agent |
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Similar to the other test function, this Agent class is imported locally. For consistency and adherence to PEP 8, please move this import to the top of the file. This makes the code cleaner and easier to maintain.
1 participant
agent tool resilience sample to handle retry, timeout