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aws-py-langserve

README.md

AWS YAML LangServe Example

This example demonstrates how to use deploy a simple app using Pulumi in YAML.

Prerequisites

To run this example, you'll need the following tools installed on your machine:

  1. Install Pulumi
  2. Install Python
  3. Configure AWS
  4. Install Docker
  5. Install the AWS CLI
  6. Install the LangChain CLI

Deploying to AWS using Pulumi

Set the region with the following command:

pulumi config set aws:region <region>

Run the following command to deploy your LangServe app to AWS:

git clone https://github.com/pulumi/examples.git
cd examples/aws-py-langserve
pulumi stack init <your-stack-name>
pulumi config set open-api-key --secret # Enter your OpenAI API key
pulumi up

This last command will show you a preview of the resources that will be created. After reviewing the changes, you will be prompted to continue. Once confirmed, Pulumi will deploy your LangServe app to AWS.

The whole deployoment process will take a couple of minutes. Once it's done, you will see the URL of your LangServe app in the output.

Outputs:
    url: "http://<dns>.elb.amazonaws.com"

Resources:
    + 27 created

You can now access the LangServe playground by adding /openai/playground to the URL you got from the output.

Note

It may take a few minutes for the load balancer to be ready to accept requests. If you see a 503 error, wait a few minutes and try again.

Clean up

To clean up the resources created by this example, run the following command:

pulumi destroy

You will be prompted to confirm the deletion of the resources. Once confirmed, Pulumi will delete all the resources created by this example.