Add Agent Card Generators #1349
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Summary of ChangesHello @Starborn, 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 introduces a significant enhancement to the A2A ecosystem by providing two interactive Google Colab notebooks. These tools are designed to streamline the creation of A2A-compliant Agent Cards, making the process accessible to developers without requiring manual JSON editing. The initiative aims to lower the barrier to entry for participation in the A2A ecosystem by offering a visual interface, built-in validation, and an educational resource for understanding Agent Card structure. Highlights
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Code Review
This pull request introduces a helpful Google Colab notebook for generating A2A Agent Cards. The implementation is well-structured and user-friendly. My review focuses on improving correctness, robustness, and code clarity. I've identified a critical bug due to a typo that breaks the skill creation functionality, a high-severity issue with stale data being downloaded, and several medium to low severity issues related to logic, input sanitization, and code style. Addressing these points will significantly improve the reliability and maintainability of the notebook.
| "sill_name = widgets.Text(\n", | ||
| " description='Name:',\n", | ||
| " placeholder='e.g., Recipe Search',\n", | ||
| " style={'description_width': '120px'},\n", | ||
| " layout=widgets.Layout(width='400px')\n", | ||
| ")\n", |
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There is a typo in the variable name sill_name; it should be skill_name. This typo will cause a NameError when the code attempts to reference skill_name in the add_skill function or when displaying the widgets, which breaks the core functionality of adding skills to the agent card.
skill_name = widgets.Text(
description='Name:',
placeholder='e.g., Recipe Search',
style={'description_width': '120px'},
layout=widgets.Layout(width='400px')
)
| " if not current_json:\n", | ||
| " current_json = generate_agent_card_json()\n", |
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The on_download_click function can download stale data. It only regenerates the JSON if current_json is empty. If a user generates the JSON, modifies a form field, and then clicks download, the downloaded file will not reflect the latest changes. To ensure data integrity, the JSON should be regenerated every time the download button is clicked.
current_json = generate_agent_card_json()
| " if agent_card_data['provider']['organization']:\n", | ||
| " card['provider'] = agent_card_data['provider']\n", |
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The logic for including the provider object in the agent card is incomplete. It only checks for the presence of organization. According to the A2A specification, the provider object contains optional organization and url fields. If a user provides a url but no organization, the entire provider object will be incorrectly omitted. The condition should check for the presence of either field to ensure the provider information is included whenever it's available.
if agent_card_data['provider']['organization'] or agent_card_data['provider']['url']:
card['provider'] = agent_card_data['provider']
| " return\n", | ||
| "\n", | ||
| " # Create filename\n", | ||
| " agent_name_clean = agent_card_data['name'].replace(' ', '_').lower()\n", |
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The current method for cleaning the agent name for the filename is not robust enough. It only replaces spaces, but other characters that are invalid in filenames (like /, \, :, *, ?) could be present in an agent's name, causing the file download to fail. A more comprehensive sanitization approach is needed to ensure valid filenames are always generated.
agent_name_clean = "".join(c for c in agent_card_data['name'] if c.isalnum() or c in (' ', '_', '-')).strip().replace(' ', '_').lower()
| "import json\n", | ||
| "import ipywidgets as widgets\n", | ||
| "from IPython.display import display, HTML, clear_output\n", | ||
| "from datetime import datetime\n", |
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The datetime module is imported but it is not used anywhere in the notebook. To maintain code cleanliness and avoid confusion, it's best practice to remove unused imports.
| " agent_card_data['iconUrl'] = icon_url.value\n", | ||
| "\n", | ||
| "for widget in [agent_name, agent_version, agent_description, provider_org, provider_url, doc_url, icon_url]:\n", | ||
| " widget.observe(lambda change: update_basic_info(), 'value')\n", |
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The change argument in the lambda function is unused. It's a common convention to use an underscore (_) for unused variables to improve readability and signal intent. This applies to other similar observe and on_click handlers throughout the notebook.
widget.observe(lambda _: update_basic_info(), 'value')
| "source": [ | ||
| "# Test Report 9 Jan 2926 by Gemini\n", | ||
| "# A2A Agent Card Generators\n", | ||
| "\n", | ||
| "Tester executed the cells that display the interactive forms for Basic Information, Service Endpoints, Capabilities, Interaction Modes, and Skills, and the JSON Generation & Export section. Please interact with the widgets that appear after these cells are executed to see if they are running properly.\n", | ||
| "\n", | ||
| "All the interactive components of the app have been successfully executed and are now displayed. You can now interact with the forms to input data for your A2A Agent Card. Please fill out the details and try generating and downloading the JSON to test the full functionality.\n", | ||
| "\n", | ||
| "The interactive forms for creating your A2A Agent Card are now displayed and ready for your input. Please fill in the details in the 'Basic Information', 'Service Endpoints', 'Capabilities', 'Interaction Modes', and 'Skills' sections. Once you've entered the information, you can click the 'Generate JSON' button to see the output or 'Download JSON' to save it. I'm ready for your next instruction once you've had a chance to interact with the forms.\n", | ||
| "\n", | ||
| "All parts of the Agent Card Generator, including basic information, service endpoints, capabilities, interaction modes, and skills sections, have been successfully initialized and displayed. The 'Generate JSON' and 'Download JSON' buttons are also active. The application is now ready for your input to create an A2A Agent Card.\n", | ||
| "\n", | ||
| "\n", | ||
| "All the setup and display cells for the A2A Agent Card Generator have been successfully executed. You should now see all the interactive widgets for entering basic information, service endpoints, capabilities, interaction modes, and skills, as well as the buttons to generate and download the JSON.\n", | ||
| "\n", | ||
| "The application is running properly and is awaiting your input to create an A2A Agent Card. Please interact with the displayed forms and buttons to test the functionality.\n", | ||
| "\n", | ||
| "\n", | ||
| "The A2A Agent Card Generator notebook has been fully initialized and all its interactive components are running properly. You should see all the forms for entering agent details, capabilities, and skills, along with the 'Generate JSON' and 'Download JSON' buttons.\n", | ||
| "\n", | ||
| "To complete the testing, you can now interact with the widgets to fill in agent information and then use the 'Generate JSON' button to preview the output or the 'Download JSON' button to save the Agent Card.\n", | ||
| "\n", | ||
| "\n", | ||
| "\n", | ||
| "\n", | ||
| "---" | ||
| ], |
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This markdown cell contains a "Test Report" that appears to be output from a previous test run. This content is not part of the generator tool itself and could be confusing to end-users. It's recommended to remove this cell from the final notebook to keep it clean and focused on its purpose.
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@gemini-code-assist Thank you for the excellent code review! 🙏
All issues have been addressed in the latest commit:
✅ Issue #1 (Critical - Typo): Verified fixed in current version
✅ Issue #2 (High - Stale Download): Fixed - JSON now regenerates on every download
✅ Issue #3 (Medium - Provider Logic): Fixed - now checks organization OR url
✅ Issue #4 (Medium - Filename Sanitization): Fixed - comprehensive character sanitization
The updated notebook has been tested and is working correctly. Thank you for catching the stale download bug - that was a real data integrity issue!
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Thank you for the update, Starborn! I appreciate you addressing the feedback. I've confirmed that the "Test Report" markdown cell has been successfully removed from the notebook, which helps keep the notebook clean and focused on its primary purpose. Excellent work on resolving the issues!
1 participant
Adds two interactive Google Colab notebooks for generating A2A-compliant Agent Cards through user-friendly forms, making agent card creation accessible to developers without requiring manual JSON editing.
What's Included
Notebooks
Features
Documentation
Testing
Use Case
Lowers the barrier to entry for A2A ecosystem participation by providing:
Deployment
Notebooks are ready to use via Colab - no local installation required:
Files Changed
Related
Implements Agent Card specification: https://a2a-protocol.org/latest/specification/#441-agentcard
Author
Concept & Design: Paola Di Maio (@YOUR_GITHUB_USERNAME)
Implementation: Claude (Anthropic)
Affiliation: Center for Systems, Knowledge Representation and Neuroscience, Ronin Institute
Notes
Happy to make any adjustments based on maintainer feedback!