Create a Gateway Service and a Route, then enable the AI Proxy plugin and configure it with the Databricks provider, and the GPT OSS 20B model.
This is a Konnect tutorial and requires a Konnect personal access token.
Create a new personal access token by opening the Konnect PAT page and selecting Generate Token.
Export your token to an environment variable:
export KONNECT_TOKEN='YOUR_KONNECT_PAT'
Run the quickstart script to automatically provision a Control Plane and Data Plane, and configure your environment:
curl -Ls https://get.konghq.com/quickstart | bash -s -- -k $KONNECT_TOKEN --deck-output
This sets up a Konnect Control Plane named quickstart, provisions a local Data Plane, and prints out the following environment variable exports:
export DECK_KONNECT_TOKEN=$KONNECT_TOKEN
export DECK_KONNECT_CONTROL_PLANE_NAME=quickstart
export KONNECT_CONTROL_PLANE_URL=https://us.api.konghq.com
export KONNECT_PROXY_URL='http://localhost:8000'
Copy and paste these into your terminal to configure your session.
This tutorial requires Kong Gateway Enterprise. If you don’t have Kong Gateway set up yet, you can use the quickstart script with an enterprise license to get an instance of Kong Gateway running almost instantly.
Export your license to an environment variable:
export KONG_LICENSE_DATA='LICENSE-CONTENTS-GO-HERE'
Run the quickstart script:
curl -Ls https://get.konghq.com/quickstart | bash -s -- -e KONG_LICENSE_DATA
Once Kong Gateway is ready, you will see the following message:
Kong Gateway Ready
decK is a CLI tool for managing Kong Gateway declaratively with state files. To complete this tutorial, install decK version 1.43 or later.
This guide uses deck gateway apply, which directly applies entity configuration to your Gateway instance.
We recommend upgrading your decK installation to take advantage of this tool.
You can check your current decK version with deck version.
For this tutorial, you’ll need Kong Gateway entities, like Gateway Services and Routes, pre-configured. These entities are essential for Kong Gateway to function but installing them isn’t the focus of this guide. Follow these steps to pre-configure them:
Run the following command:
echo '
_format_version: "3.0"
services:
- name: example-service
url: http://httpbin.konghq.com/anything
routes:
- name: example-route
paths:
- "/anything"
service:
name: example-service
protocols:
- http
- https
' | deck gateway apply -
To learn more about entities, you can read our entities documentation.
This tutorial requires a Databricks instance. You can create one with the express setup or through AWS.
dbc-, from the URL, and export it to your environment:
export DECK_DATABRICKS_WORKSPACE_INSTANCE_ID='YOUR INSTANCE ID'
export DECK_DATABRICKS_TOKEN='YOUR DATABRICKS TOKEN'
Configure the plugin with your Databricks workspace ID and the databricks-gpt-oss-20b model.
echo '
_format_version: "3.0"
plugins:
- name: ai-proxy
config:
route_type: llm/v1/chat
auth:
header_name: Authorization
header_value: Bearer ${{ env "DECK_DATABRICKS_TOKEN" }}
model:
provider: databricks
name: databricks-gpt-oss-20b
options:
databricks:
workspace_instance_id: "${{ env "DECK_DATABRICKS_WORKSPACE_INSTANCE_ID" }}"
' | deck gateway apply -
Send a request to the Route to validate.
curl -X POST "$KONNECT_PROXY_URL/anything" \
--no-progress-meter --fail-with-body \
-H "Accept: application/json"\
-H "Content-Type: application/json" \
--json '{
"messages": [
{
"role": "system",
"content": "You are a mathematician"
},
{
"role": "user",
"content": "What is 1+1?"
}
]
}'
curl -X POST "http://localhost:8000/anything" \
--no-progress-meter --fail-with-body \
-H "Accept: application/json"\
-H "Content-Type: application/json" \
--json '{
"messages": [
{
"role": "system",
"content": "You are a mathematician"
},
{
"role": "user",
"content": "What is 1+1?"
}
]
}'
If you created a new control plane and want to conserve your free trial credits or avoid unnecessary charges, delete the new control plane used in this tutorial.
curl -Ls https://get.konghq.com/quickstart | bash -s -- -d