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docs: First InferenceService instructions with port-forwarding #412

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docs: First InferenceService instructions with port-forwarding #412

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10 changes: 10 additions & 0 deletions docs/get_started/first_isvc.md
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Original file line number Diff line number Diff line change
Expand Up @@ -186,6 +186,16 @@ Depending on your setup, use one of the following commands to curl the `Inferenc
curl -v -H "Content-Type: application/json" http://sklearn-iris.kserve-test/v1/models/sklearn-iris:predict -d @./iris-input.json
```

=== "Port forwarded service"

If you have done `Port Forward` above during testing, you can extract the inference
server URL from the status and make a curl request to it.

```bash
SERVICE_HOSTNAME=$(kubectl get inferenceservice sklearn-iris -n kserve-test -o jsonpath='{.status.url}' | cut -d "/" -f 3)
curl -v -H "Host: ${SERVICE_HOSTNAME}" -H "Content-Type: application/json" "http://${INGRESS_HOST}:${INGRESS_PORT}/v1/models/sklearn-iris:predict" -d @./iris-input.json
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Maybe instead adding a new section, what about add the command curl command after https://github.com/kserve/website/pull/412/files#diff-2066f8cd5b8985c4a57b1da95f0b1da8277507031b72a35759bd066b47d11ee3R121

btw, is think there is no need to pass the SERVICE_HOSTNAME

```

You should see two predictions returned (i.e. `{"predictions": [1, 1]}`). Both sets of data points sent for inference correspond to the flower with index `1`.
In this case, the model predicts that both flowers are "Iris Versicolour".

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