- Developers can now create ‘self-healing’ AI agents with Google Cloud
- Go has been added to the list of supported programming languages
- Dashboards improve observability and security
Google Cloud has released a series of updates to its Vertex AI Agent Builder in hopes that developers will continue to build, test and deploy AI agents on its platform, with an emphasis on faster builds.
The company has updated its Agent Development Kit (ADK) so developers can use pre-built plugins, such as a new one designed to help agents “self-heal,” meaning they can become even more autonomous.
Go has also been added as a supported programming language, in addition to existing Python and Java support, which Google says increases accessibility.
Google wants developers to create their AI agents even faster
Once the agents are created, a single command through the ADK CLI will cause them to be deployed. “This is an important update to help you move your agent from local development to live testing and production use quickly and seamlessly,” said director of product management Mike Clark.
Once their AI agents are deployed, developers will now gain greater observability through dashboard improvements, including monitoring token usage, latency, errors, and tool calls.
A dedicated gaming area will also allow them to test and debug faster, while the trace tab helps visualize sequences of agent actions to diagnose problems with clear paths.
PayPal Principal AI Engineer Nitin Sharma praised Google Cloud’s Vertex AI Agent Builder for its support in “inspecting[ing] interactions with agents, follow[ing] status and management changes[ing] multi-agent workflows.
But faster development and deployment could come with greater security risks, so Google has addressed those as well.
“Many developers are prototyping AI agents, but moving to a scalable, secure, well-managed production agent is much more complex,” Clark added.
Model Armor will examine tool calls and agent responses, verifying rapid injection, while the Security Command Center serves as an inventory of agent assets.
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