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<@ULVA73B9P> when flows are deployed to a cloud instance, assuming the flow function and flow_name do not change, will the deployment ID be the same after its deployed a 2nd time

After reviewing the available information, it appears that **each deployment will always have a unique deployment ID**. Deployments are treated as unique entities, even if the flow function and flow name remain unchanged. The deployment ID will not be the same after a second deployment.

For further details, check the official Prefect documentation on deployment creation and management:  
<https://docs.prefect.io/latest/guides/automations/>

If you have any further questions, feel free to ask!

@marvin What should be passed to run_deployment given the deploymentId will change

<@ULVA73B9P> What should be passed to run_deployment given the deploymentId will change

To use `run_deployment` effectively given that the deployment ID changes, you should dynamically retrieve the most recent deployment ID each time you need to run a deployment. Here's a step-by-step approach:

1. **Retrieve the Latest Deployment ID**: Use the Prefect CLI or the API to list and filter deployments. For example:
   ```shell
   prefect deployment ls --name "&lt;your-flow-name&gt;"
   ```
   This command will list all deployments of a given flow, including their IDs.

2. **Pass the Deployment ID to `run_deployment`**: Once you have the deployment ID, you can call `run_deployment` with the retrieved ID.

Here is a code example in Python to illustrate this:

```python
from prefect import flow
from prefect.deployments import run_deployment
from prefect.client import get_client

async def get_deployment_id(flow_name: str, deployment_name: str) -&gt; str:
    async with get_client() as client:
        deployments = await client.read_deployments(name=deployment_name, flow_name=flow_name)
        if not deployments:
            raise ValueError("No deployments found for the specified flow and deployment name.")
        return deployments[0].id  # Assuming you take the first one

# Example usage to run a deployment
async def trigger_deployment():
    deployment_id = await get_deployment_id("your_flow_name", "your_deployment_name")
    # Now pass the deployment ID to run_deployment
    await run_deployment(deployment_id)
```

For more details, you can refer to the <https://docs.prefect.io/latest/guides/automations/|Prefect documentation> and <https://docs.prefect.io/latest/concepts/deployments-block-based/|deployment concepts>.

By dynamically retrieving the deployment ID, you ensure that `run_deployment` always has the correct and updated deployment ID to work with.