Flyte enables production-grade orchestration for machine learning workflows and data processing created to accelerate local workflows to production.

Flyte

New RunLLM response generated:

>>>*# Question*
I am running it locally
*# Answer*
To run a Flyte workflow locally, you can use either a local Python environment or a local Flyte cluster. 

1. *Local Python Environment*: 
   - Navigate to your Flyte project's workflows directory.
   - Use `pyflyte run` to execute the workflow:
     ```
     cd my_project/workflows
     pyflyte run example.py wf
     ```
   - Alternatively, you can run the script directly with Python by adding a main module conditional:
     ```
     if __name__ == "__main__":
         print(wf())
     ```

2. *Local Flyte Cluster*:
   - Ensure you have Docker and `flytectl` installed.
   - Start and configure a local Flyte cluster using `flytectl`.

Would you like more details on any specific part of this process?

Sources:
- <https://docs.flyte.org/en/latest/getting_started_with_workflow_development/running_a_workflow_locally.html|Running a workflow locally>

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