curl -s -X POST "https://inference.impulselabs.ai/infer" \
  -H "Authorization: Bearer $IMPULSE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "deployment_id": "clf-titanic-survived",
    "inputs": {
      "Pclass": 3,
      "Sex": "male",
      "Age": 22,
      "SibSp": 1,
      "Parch": 0,
      "Fare": 7.25,
      "Embarked": "S"
    }
  }'

curl -s -X POST "https://inference.impulselabs.ai/infer" \
  -H "Authorization: Bearer $IMPULSE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "deployment_id": "clf-churn-v2",
    "inputs": {
      "tenure": 12,
      "MonthlyCharges": 65.5,
      "TotalCharges": 786.0,
      "Contract": "Month-to-month",
      "PaymentMethod": "Electronic check",
      "InternetService": "Fiber optic"
    }
  }'

import os
import requests

resp = requests.post(
    "https://inference.impulselabs.ai/infer",
    headers={
        "Authorization": f"Bearer {os.environ['IMPULSE_API_KEY']}",
        "Content-Type": "application/json",
    },
    json={
        "deployment_id": "clf-titanic-survived",
        "inputs": {
            "Pclass": 3,
            "Sex": "male",
            "Age": 22,
            "SibSp": 1,
            "Parch": 0,
            "Fare": 7.25,
            "Embarked": "S",
        },
    },
)
resp.raise_for_status()
result = resp.json()
print(f"Prediction: {result['prediction']}, probability: {result['probability']:.0%}")

const response = await fetch("https://inference.impulselabs.ai/infer", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.IMPULSE_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    deployment_id: "clf-titanic-survived",
    inputs: {
      Pclass: 3,
      Sex: "male",
      Age: 22,
      SibSp: 1,
      Parch: 0,
      Fare: 7.25,
      Embarked: "S",
    },
  }),
});

if (!response.ok) {
  const err = await response.json();
  throw new Error(err.detail ?? "Inference failed");
}

const { prediction, probability, target } = await response.json();
console.log(`${target}: ${prediction} (${(probability * 100).toFixed(1)}%)`);

interface InferRequest {
  deployment_id: string;
  inputs: Record<string, unknown>;
}

interface InferResponse {
  prediction: unknown;
  probability: number | null;
  target: string | null;
}

async function infer(deploymentId: string, inputs: Record<string, unknown>): Promise<InferResponse> {
  const resp = await fetch("https://inference.impulselabs.ai/infer", {
    method: "POST",
    headers: {
      Authorization: `Bearer ${process.env.IMPULSE_API_KEY}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({ deployment_id: deploymentId, inputs } satisfies InferRequest),
  });

  if (!resp.ok) {
    const err = await resp.json();
    throw Object.assign(new Error(err.detail ?? "Inference failed"), { status: resp.status });
  }

  return resp.json() as Promise<InferResponse>;
}

{
  "prediction": 0,
  "probability": 0.142,
  "target": "Survived"
}

{
  "prediction": 42350.75,
  "probability": null,
  "target": "SalePrice"
}

{
  "valid": false,
  "error": "Invalid API key"
}

{
  "detail": "No deployment 'clf-titanic-survived' found for user"
}

{
  "valid": false,
  "error": "Rate limit exceeded",
  "limit": 120,
  "retry_after_seconds": 34
}

{
  "detail": "Deployment 'clf-titanic-survived' is not active (status: BUILDING)"
}

{
  "detail": "Deployment 'clf-titanic-survived' is not reachable. Retry shortly"
}