curl --request POST \
  --url https://api.bland.ai/v2/agents/{agent_id}/dispositions/extractors \
  --header 'Content-Type: application/json' \
  --header 'authorization: <authorization>' \
  --data '
{
  "key": "<string>",
  "name": "<string>",
  "description": {},
  "scopedToAgent": true,
  "systemPromptMd": "<string>",
  "promptMd": "<string>",
  "outputSchema": {
    "kind": "<string>",
    "description": "<string>",
    "format": "<string>",
    "options": [
      {}
    ],
    "items": {},
    "minItems": 123,
    "maxItems": 123,
    "properties": {},
    "required": [
      {}
    ]
  },
  "inferenceConfig": {
    "contextSources": [
      {}
    ],
    "modelProfileKey": "<string>",
    "temperature": {},
    "maxOutputTokens": {},
    "thinking": {}
  }
}
'

import requests

url = "https://api.bland.ai/v2/agents/{agent_id}/dispositions/extractors"

payload = {
    "key": "<string>",
    "name": "<string>",
    "description": {},
    "scopedToAgent": True,
    "systemPromptMd": "<string>",
    "promptMd": "<string>",
    "outputSchema": {
        "kind": "<string>",
        "description": "<string>",
        "format": "<string>",
        "options": [{}],
        "items": {},
        "minItems": 123,
        "maxItems": 123,
        "properties": {},
        "required": [{}]
    },
    "inferenceConfig": {
        "contextSources": [{}],
        "modelProfileKey": "<string>",
        "temperature": {},
        "maxOutputTokens": {},
        "thinking": {}
    }
}
headers = {
    "authorization": "<authorization>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {authorization: '<authorization>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    key: '<string>',
    name: '<string>',
    description: {},
    scopedToAgent: true,
    systemPromptMd: '<string>',
    promptMd: '<string>',
    outputSchema: {
      kind: '<string>',
      description: '<string>',
      format: '<string>',
      options: [{}],
      items: {},
      minItems: 123,
      maxItems: 123,
      properties: {},
      required: [{}]
    },
    inferenceConfig: {
      contextSources: [{}],
      modelProfileKey: '<string>',
      temperature: {},
      maxOutputTokens: {},
      thinking: {}
    }
  })
};

fetch('https://api.bland.ai/v2/agents/{agent_id}/dispositions/extractors', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.bland.ai/v2/agents/{agent_id}/dispositions/extractors",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'key' => '<string>',
    'name' => '<string>',
    'description' => [
        
    ],
    'scopedToAgent' => true,
    'systemPromptMd' => '<string>',
    'promptMd' => '<string>',
    'outputSchema' => [
        'kind' => '<string>',
        'description' => '<string>',
        'format' => '<string>',
        'options' => [
                [
                                
                ]
        ],
        'items' => [
                
        ],
        'minItems' => 123,
        'maxItems' => 123,
        'properties' => [
                
        ],
        'required' => [
                [
                                
                ]
        ]
    ],
    'inferenceConfig' => [
        'contextSources' => [
                [
                                
                ]
        ],
        'modelProfileKey' => '<string>',
        'temperature' => [
                
        ],
        'maxOutputTokens' => [
                
        ],
        'thinking' => [
                
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "authorization: <authorization>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.bland.ai/v2/agents/{agent_id}/dispositions/extractors"

	payload := strings.NewReader("{\n  \"key\": \"<string>\",\n  \"name\": \"<string>\",\n  \"description\": {},\n  \"scopedToAgent\": true,\n  \"systemPromptMd\": \"<string>\",\n  \"promptMd\": \"<string>\",\n  \"outputSchema\": {\n    \"kind\": \"<string>\",\n    \"description\": \"<string>\",\n    \"format\": \"<string>\",\n    \"options\": [\n      {}\n    ],\n    \"items\": {},\n    \"minItems\": 123,\n    \"maxItems\": 123,\n    \"properties\": {},\n    \"required\": [\n      {}\n    ]\n  },\n  \"inferenceConfig\": {\n    \"contextSources\": [\n      {}\n    ],\n    \"modelProfileKey\": \"<string>\",\n    \"temperature\": {},\n    \"maxOutputTokens\": {},\n    \"thinking\": {}\n  }\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("authorization", "<authorization>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.bland.ai/v2/agents/{agent_id}/dispositions/extractors")
  .header("authorization", "<authorization>")
  .header("Content-Type", "application/json")
  .body("{\n  \"key\": \"<string>\",\n  \"name\": \"<string>\",\n  \"description\": {},\n  \"scopedToAgent\": true,\n  \"systemPromptMd\": \"<string>\",\n  \"promptMd\": \"<string>\",\n  \"outputSchema\": {\n    \"kind\": \"<string>\",\n    \"description\": \"<string>\",\n    \"format\": \"<string>\",\n    \"options\": [\n      {}\n    ],\n    \"items\": {},\n    \"minItems\": 123,\n    \"maxItems\": 123,\n    \"properties\": {},\n    \"required\": [\n      {}\n    ]\n  },\n  \"inferenceConfig\": {\n    \"contextSources\": [\n      {}\n    ],\n    \"modelProfileKey\": \"<string>\",\n    \"temperature\": {},\n    \"maxOutputTokens\": {},\n    \"thinking\": {}\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.bland.ai/v2/agents/{agent_id}/dispositions/extractors")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["authorization"] = '<authorization>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"key\": \"<string>\",\n  \"name\": \"<string>\",\n  \"description\": {},\n  \"scopedToAgent\": true,\n  \"systemPromptMd\": \"<string>\",\n  \"promptMd\": \"<string>\",\n  \"outputSchema\": {\n    \"kind\": \"<string>\",\n    \"description\": \"<string>\",\n    \"format\": \"<string>\",\n    \"options\": [\n      {}\n    ],\n    \"items\": {},\n    \"minItems\": 123,\n    \"maxItems\": 123,\n    \"properties\": {},\n    \"required\": [\n      {}\n    ]\n  },\n  \"inferenceConfig\": {\n    \"contextSources\": [\n      {}\n    ],\n    \"modelProfileKey\": \"<string>\",\n    \"temperature\": {},\n    \"maxOutputTokens\": {},\n    \"thinking\": {}\n  }\n}"

response = http.request(request)
puts response.read_body