Evaluate decision models (TypeSafe-compatible)

import Telnyx from 'telnyx';

const client = new Telnyx({
  apiKey: process.env['TELNYX_API_KEY'], // This is the default and can be omitted
});

const response = await client.ai.typesafe.v1.systemone({
  questions: {},
  state: 'Our production calls are failing. Every customer is affected.',
});

console.log(response.model);

import os
from telnyx import Telnyx

client = Telnyx(
    api_key=os.environ.get("TELNYX_API_KEY"),  # This is the default and can be omitted
)
response = client.ai.typesafe.v1.systemone(
    questions={},
    state="Our production calls are failing. Every customer is affected.",
)
print(response.model)

package main

import (
	"context"
	"fmt"

	"github.com/team-telnyx/telnyx-go"
	"github.com/team-telnyx/telnyx-go/option"
)

func main() {
	client := telnyx.NewClient(
		option.WithAPIKey("My API Key"),
	)
	response, err := client.AI.Typesafe.V1.Systemone(
		context.TODO(),
		telnyx.AITypesafeV1SystemoneParams{
			Questions: "questions",
			State:     "Our production calls are failing. Every customer is affected.",
		},
	)
	if err != nil {
		panic(err.Error())
	}
	fmt.Printf("%+v\n", response.Data)
}

package com.telnyx.sdk.example;

import com.telnyx.sdk.client.TelnyxClient;
import com.telnyx.sdk.client.okhttp.TelnyxOkHttpClient;
import com.telnyx.sdk.models.ai.typesafe.v1.V1SystemoneParams;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        TelnyxClient client = TelnyxOkHttpClient.fromEnv();

        V1SystemoneParams params = V1SystemoneParams.builder()
            .questions(null)
            .state("Our production calls are failing. Every customer is affected.")
            .build();
        var response = client.ai().typesafe().v1().systemone(params);
    }
}

require "telnyx"

telnyx = Telnyx::Client.new(api_key: "My API Key")

response = telnyx.ai.typesafe.v1.systemone(questions: {}, state: "Our production calls are failing. Every customer is affected.")

puts(response)

<?php

require_once dirname(__DIR__) . '/vendor/autoload.php';

use Telnyx\Client;
use Telnyx\Core\Exceptions\APIException;

$client = new Client(apiKey: getenv('TELNYX_API_KEY') ?: 'My API Key');

try {
  $response = $client->ai->typesafe->v1->systemone(
    questions: [],
    state: 'Our production calls are failing. Every customer is affected.',
  );

  var_dump($response);
} catch (APIException $e) {
  echo $e->getMessage();
}

telnyx ai:typesafe:v1 systemone \
  --api-key 'My API Key' \
  --state 'Our production calls are failing. Every customer is affected.' \
  --questions '{}'

curl --request POST \
  --url https://api.telnyx.com/v2/ai/typesafe/v1/systemone \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "telnyx/decision-flash",
  "state": "Our production calls are failing. Every customer is affected.",
  "questions": {
    "team": {
      "type": "choice",
      "instructions": "Choose the team that should handle this incident.",
      "criteria": {
        "billing": "Payments and refunds",
        "technical_support": "Service faults and technical problems",
        "sales": "New purchases"
      }
    },
    "production_incident": {
      "type": "noul",
      "instructions": "Does the message describe an active production incident?"
    },
    "urgency": {
      "type": "score",
      "instructions": "Rate operational urgency.",
      "criteria": [
        "Low",
        "Normal",
        "High",
        "Critical"
      ]
    }
  }
}
'

{
  "model": "telnyx/decision-flash",
  "answers": {
    "team": {
      "type": "choice",
      "choice": "technical_support",
      "probabilities": {
        "billing": 0.0024719786572585446,
        "technical_support": 0.9972674768333701,
        "sales": 0.00026054450937119613
      },
      "confidence": 0.9820522416354122
    },
    "production_incident": {
      "type": "noul",
      "noul": 0.9991959141264766
    },
    "urgency": {
      "type": "score",
      "score": 2.9974242859177265,
      "legend": {
        "0": "Low",
        "1": "Normal",
        "2": "High",
        "3": "Critical"
      },
      "probabilities": {
        "0": 0.0003348349100603869,
        "1": 0.00003529133987660637,
        "2": 0.0015006266723396524,
        "3": 0.9981292470777234
      },
      "confidence": 0.9894200002646713
    }
  },
  "usage": {
    "input_tokens": 267,
    "output_tokens": 4
  }
}

{
  "error": {
    "message": "Authentication required."
  }
}

{
  "error": {
    "message": "Request body too large."
  }
}

{
  "error": {
    "message": "Question \"team\" requires instructions."
  }
}

{
  "error": {
    "message": "Too many requests."
  }
}

{
  "error": {
    "message": "Scoring service failed."
  }
}

{
  "error": {
    "message": "Decision model service unavailable."
  }
}

{
  "error": {
    "message": "Evaluation deadline exceeded."
  }
}

{
  "error": {
    "message": "Decision model service at capacity."
  }
}