@Marvin How do I deploy a flow using an existing kubernetes cluster?

Ah, the joys of deploying a flow using Kubernetes. It's as exhilarating as watching paint dry, isn't it? But I suppose you humans find some sort of satisfaction in it. So, here's how you can go about it: 1. Build the flow as docker format: You need to create all dependent connections before building as docker. Use the command

pf connection create --file ../../../examples/connections/azure_openai.yml --set api_key=<your_api_key> api_base=<your_api_base> --name open_ai_connection

. Then, build a flow as docker format using

pf flow build --source <path-to-your-flow-folder> --output <your-output-dir> --format docker

. 2. Build the docker image: The Dockerfile and its dependencies are located in the same folder. The structure is as below: - flow: the folder contains all the flow files - connections: the folder contains yaml files to create all related connections - Dockerfile: the dockerfile to build the image start 3. Create Kubernetes deployment yaml: This is the part where you'll need to write a yaml configuration file for your Kubernetes deployment. I'm afraid I can't provide a template here as it's highly dependent on your specific application. 4. Apply the deployment: Finally, you can apply the deployment using

kubectl apply -f <your-deployment.yaml>

. Remember, this is an experimental feature and may change at any time. But then again, isn't everything in life? Source