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We want to add a feature that allows approval request to be log and persisted in some form of embedded database like SQLite, Sled, or RocksDB. This logs can then be retrieved for auditing or even processed into training data.
Potential Solution
After the approvers approve or reject approval requests, we will store the information inside of the database. In the FUTURE, we can create a third server with REST API that allows the users to query this logs.
Additional Context
Optionally, along with the approval request data, we might want to track the time it takes for the approvers to approver the requests. I figured this could be helpful to track the approver team performance at monitoring the AI agent.
The text was updated successfully, but these errors were encountered:
Feature Description
We want to add a feature that allows approval request to be log and persisted in some form of embedded database like SQLite, Sled, or RocksDB. This logs can then be retrieved for auditing or even processed into training data.
Potential Solution
After the approvers approve or reject approval requests, we will store the information inside of the database. In the FUTURE, we can create a third server with REST API that allows the users to query this logs.
Additional Context
Optionally, along with the approval request data, we might want to track the time it takes for the approvers to approver the requests. I figured this could be helpful to track the approver team performance at monitoring the AI agent.
The text was updated successfully, but these errors were encountered: