Is your feature request related to a problem? Please describe.
Currently, developers who want to programmatically integrate applications with the Google Cloud Gemini Data Analytics API with A2A Data Engineering Agent lack a dedicated copy-paste-runnable Python code sample. Only generic examples from A2A org is available. https://github.com/a2aproject/a2a-python#examples
Describe the solution you'd like.
We would like to contribute a production-ready, stateless Python sample under a new geminidataanalytics/a2a_client/ folder that demonstrates best practices for programmatic client integration:
Describe alternatives you've considered.
The alternative is for developers to follow generic example from A2A org which is not specific to Data Engineering Agent. This creates friction in development velocity.
Additional context.
API Reference: Google Cloud Data Engineering Agent Overview
Making sure to follow these steps will guarantee the quickest resolution possible.
Thanks!
Is your feature request related to a problem? Please describe.
Currently, developers who want to programmatically integrate applications with the Google Cloud Gemini Data Analytics API with A2A Data Engineering Agent lack a dedicated copy-paste-runnable Python code sample. Only generic examples from A2A org is available. https://github.com/a2aproject/a2a-python#examples
Describe the solution you'd like.
We would like to contribute a production-ready, stateless Python sample under a new geminidataanalytics/a2a_client/ folder that demonstrates best practices for programmatic client integration:
Describe alternatives you've considered.
The alternative is for developers to follow generic example from A2A org which is not specific to Data Engineering Agent. This creates friction in development velocity.
Additional context.
API Reference: Google Cloud Data Engineering Agent Overview
Making sure to follow these steps will guarantee the quickest resolution possible.
Thanks!