AI Agent Studio v.34 release
- Updated: 2025/02/15
Review what's new and changed, and the fixes and limitations in AI Agent Studio for the v.34 release.
What's new
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Support for RAG
capability in AI Agent Studio to create grounded
Model connections using Amazon Bedrock and Google Vertex AI foundational
models Create Grounded by knowledge base and Grounded by data store
Model connections using the native RAG
(retrieval-augmented generation) capability from Amazon Bedrock and Google Vertex AI to generate accurate and
contextually relevant information referenced from Amazon Knowledge Base and Google Data Source. Note: You can use this feature in
Automation 360 v34 release in
Cloud and On-Premises. See Create Grounded Model connections with Amazon Bedrock RAG capability and Create Grounded Model connections with Google Vertex AI RAG capability. |
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Support for Fine tuned
Model connections in AI Agent Studio Create Fine tuned Model connections by customizing the supported foundational models via testing and fine-tuning to make them available to Professional Developers for connecting to the AI Skills. |
| AI Skills integration with API Tasks Enhance your API Tasks by leveraging the generative AI capability of AI Skills to reduce cost and improve performance of automations while integrating with AI models in a scalable, safe, and governed environment. |
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New code analysis policy support for AI Governance Monitor and enforce responsible use of AI during design and development of automations with a new code analysis policy to ensure compliance and governance. |
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New AI Governance dashboard Derive valuable insights into the AI model usage and their performance within automations, and track and monitor the most used models along with their token consumption to ensure compliance through your dashboard. Drill down to interaction details during the design and execution of automations and download the reports. Track data via
the following AI Governance dashboard
widgets:
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Enable/disable Data logging toggle from the AI Skills editor
Enabling enables the Data logging toggle in the AI Skill editor. This feature generates detailed logs of AI Skills displaying the prompt-text, response, and the model parameter settings in the tab. The Pro Developer can enable or disable the toggle to mask sensitive information for an AI Skill, as required by their organization regulations and compliance policies. |
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We have added new models from the supported foundational model vendors. You can select these models in the Connection settings section when you are creating a Model connection in AI Agent Studio. Navigate to and then expand the drop-down list for
Choose a model field. Refer to
the following list for all new added models:
See General FAQs. |
What's changed
| Navigation
for Model connections and AI Governance in the Control Room
Now you should navigate to and in the Control Room. |
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AI Tools UI updates
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AI Governance updates
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Citations field displayed in a Task Bot when using the AI Skills package with Grounded Model connections With the introduction of the Grounded by knowledge base and Grounded by data store Model connections using Amazon Bedrock and Google Vertex AI RAG capability, we now additionally display fields with the returned citations in a table format when using the AI Skills package.The response goes to a
SampleString variable and a table
variable gets automatically selected to display the
citations. The table displays two keys within each citation.
One is the content segment displaying the information chunk
and the other is the URI, which is a URL to the chunk of
information in the knowledge base or data store the model
call is referencing. Note: When you run
the automation, the execution displays messages showing
the referenced citations in message
boxes. |
Fixes
|
Google Vertex AI Grounded by data store Model connections is now available in Automation 360 v34 release on Cloud as well. Google Data Store with document chunking is now supported to ensure optimal results in automation executions. You can enable document chunking in the Google Data Store for using Google Vertex AI Grounded models in AI Agent Studio. |
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When creating or editing a Model connection (in Chrome version 127), the drop-down menu is now functioning as expected. |
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When you are testing a Model connection or AI Skill on your machine, but are connected to a remote device for running the Bot Agent, clicking on the Get response button in the AI Skills screen twice was displaying an error message and would not allow you to complete the task. This issue is now resolved using the latest version of the Recorder package v.3.3.1 for running the desktop operation. This was a limitation in Automation 360 v.33 release. |
Limitations
| When creating a Fine tuned Model connection, we recommend not selecting any of the Amazon Anthropic Claude models from the Choose a model drop-down selection field. Amazon does not allow fine-tuning any of the Anthropic Claude models, hence this model option should not display in the drop-down list. We will remove the option in our future release. |
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The View Settings permission is required to view and enable data logging within the AI Skill editor. Without this permission, the Data logging enabled toggle in the top right corner will be hidden. However, you can still edit other aspects of the AI Skill. Additionally, you will encounter an Access Denied error message when attempting to open the AI Skill. |
| In this release, AI Governance logs are not supported for API Tasks. This is specific to the API Tasks that are run in real-time mode (for attended automations). |
| In the AI Skill editor, when you try to update the title of an existing AI Skill without an associated Model connection, Prompt-text, or defined Prompt Input, the system displays an error message stating a validation failure and fails to save the update. The AI Skill should take the update and save the change. |
| Bot Agent 22.60.10 and later dependency
for generating audit logs For the AI Governance feature, when automation administrators enable the , they see a notification requesting them to install a compatible Bot Agent version to ensure the audit logs for all model interactions are logged successfully in the Control Room. The GRC Leads, Automation
Leads, and the Professional Developers accessing the data
logs in and in the Control Room also
receive the same notification. Note: We recommend using Bot Agent
version 22.60.10 and later. |
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The Search field in the and tabs list-view pages is not able to process entries with special characters such as the following: + = && || > < ! , { } [ ] ^ ~ : |
Updates to the interface
| AI Agent Studio |
|---|
| The navigation has been updated for accessing Model connections.
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| The navigation has been updated for accessing AI Governance.
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| Prompt Template has been renamed to AI Skills.
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| The Generative AI Prompt Template
package is now called the AI Skills
package and the Execute action displays
additional fields.
Generative AI Prompt Template package is now called AI Skills package The AI Skills package action displays new fields for citations |
