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Minikube

To create a LangStream cluster locally, it's recommended to use minikube - setting 4 CPUs is highly recommended. mini-langstream comes in help for installing and managing your local cluster.

Install mini-langstream

mini-langstream requires the following commands to be already installed:

  • Docker
  • Minikube
  • Helm
  • Kubectl
  • LangStream CLI

{% hint style="info" %} If you install mini-langstream using Brew, all the dependencies are automatically installed. {% endhint %}

MacOS:

brew install LangStream/langstream/mini-langstream

Unix:

curl -Ls "https://raw.githubusercontent.com/LangStream/langstream/main/mini-langstream/get-mini-langstream.sh" | bash

Start the cluster

mini-langstream will do all the setup for you, in particular:

  • start minikube in a dedicated context
  • deploy LangStream components using helm
  • run a stateful Kafka broker as docker container
  • run a stateful s3-compatible storage (MinIO) as docker container
  • forward the control plane and API Gateways ports locally
  • create a dedicated LangStream CLI profile to interact with the cluster
  • wrap all the common k8s tools to inspect the cluster (mini-langstream kubectl, mini-langstream helm, mini-langstream k9s)
  1. Start or ensure the cluster is running:
mini-langstream start
  1. Try to use the CLI:
mini-langstream cli apps list
  1. Deploy an application:
export OPENAI_API_KEY=<your-openai-api-key>
mini-langstream cli apps deploy my-app -app https://github.com/LangStream/langstream/tree/main/examples/applications/openai-completions -s https://github.com/LangStream/langstream/blob/main/examples/secrets/secrets.yaml

To delete all the storage and stop the cluster:

mini-langstream delete

Your first application

Here are a few ways to get started building LangStream applications: