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updated the agent.py to use the ClaudeSDK and mlflow to start the traces
updated deploy.sh during testing phase, found issues with step 6 granting permissions to lakebase.
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what's the executions table for ? |
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Message tracking. If you close or refresh, the frontend can retrieve the conversation and pick up from where you left without losing the response. |
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Created a single full deployment script to deploy everything needed for the builder app. This focuses on remote deployment to a workspace. Everything is done inside the deploy.sh. We cannot currently DAB everything directly, so the deploy is a collection of DABs, cli/sdk calls and python for the best approach. In the future when DAB supports everything we can revisit.