RunLLM / aqueduct

Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.

https://aqueducthq.com

RunLLM/aqueduct Issues

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Updated a year ago1
[ENG-2760] Merge id and name arguments into one for `client.flow()`
Closed a year ago8
[ENG-2816] [FEATURE REQUEST] Automatically create directory when creating S3 Integration
Closed a year ago7
[ENG-2689] Implement Google Cloud Functions integration
Updated a year ago1
[ENG-2575] Allow @metric and @check to easily inherit @op decorator inputs
Updated a year ago
[ENG-2623] Display the time it took the workflow and each operator to run on the UI
Updated a year ago
[ENG-2751] Polish the displaying of check severity level
Updated a year ago
[ENG-2624] Allow for more characters for the artifact/op name on sidesheets
Updated a year ago
[ENG-1629] Allow users to delete individual workflow runs
Updated a year ago
[ENG-2583] Pipe K8s logs back into the Aqueduct executor
Updated a year ago6
[ENG-1535] Add timezone to workflow settings modal
Updated a year ago
[FEATURE] Allow user to retrieve metrics history from SDK
Updated a year ago
[v0.2.2] Redefining multiple parameters fails
Closed a year ago
[BUG] Mongo data couldn't be previewed
Closed a year ago1
[BUG] Test-connect to demo DB failed
Closed 2 years ago1
[BUG] Loading connection to Integration connected after SDK client is created doesn't work
Closed 2 years ago
[BUG] UI shows unhelpful error message when the backend isn't running
Closed 2 years ago1
Website Documentation Incorrect
Closed 2 years ago1
Improve code example in README
Closed 2 years ago1
Telegram Github Group
Closed 2 years ago1