curl --request POST \
  --url https://api.b-bot.space/api/v1/invoke_agent \
  --header 'Content-Type: application/json' \
  --header 'bbot-api-key: <api-key>' \
  --data '
{
  "expert_id": 37,
  "ability_id": 80,
  "model_id": 6,
  "session_id": "12333333",
  "input_data": "use the Assistant Consultation Tool to call an Assistant for help regarding a question",
  "temperature": 0,
  "user_id": "123",
  "document_urls": [
    "<string>"
  ],
  "conversation_history": [
    {
      "role": "<string>",
      "content": "<string>"
    }
  ],
  "tool_config": {
    "tavily_max_results": 1
  },
  "tool_activation": {
    "tavily_search": true,
    "wolfram_alpha": true,
    "document_retriever": false,
    "notion_connector": false
  }
}
'

import requests

url = "https://api.b-bot.space/api/v1/invoke_agent"

payload = {
    "expert_id": 37,
    "ability_id": 80,
    "model_id": 6,
    "session_id": "12333333",
    "input_data": "use the Assistant Consultation Tool to call an Assistant for help regarding a question",
    "temperature": 0,
    "user_id": "123",
    "document_urls": ["<string>"],
    "conversation_history": [
        {
            "role": "<string>",
            "content": "<string>"
        }
    ],
    "tool_config": { "tavily_max_results": 1 },
    "tool_activation": {
        "tavily_search": True,
        "wolfram_alpha": True,
        "document_retriever": False,
        "notion_connector": False
    }
}
headers = {
    "bbot-api-key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'bbot-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    expert_id: 37,
    ability_id: 80,
    model_id: 6,
    session_id: '12333333',
    input_data: 'use the Assistant Consultation Tool to call an Assistant for help regarding a question',
    temperature: 0,
    user_id: '123',
    document_urls: ['<string>'],
    conversation_history: [{role: '<string>', content: '<string>'}],
    tool_config: {tavily_max_results: 1},
    tool_activation: {
      tavily_search: true,
      wolfram_alpha: true,
      document_retriever: false,
      notion_connector: false
    }
  })
};

fetch('https://api.b-bot.space/api/v1/invoke_agent', 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.b-bot.space/api/v1/invoke_agent",
  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([
    'expert_id' => 37,
    'ability_id' => 80,
    'model_id' => 6,
    'session_id' => '12333333',
    'input_data' => 'use the Assistant Consultation Tool to call an Assistant for help regarding a question',
    'temperature' => 0,
    'user_id' => '123',
    'document_urls' => [
        '<string>'
    ],
    'conversation_history' => [
        [
                'role' => '<string>',
                'content' => '<string>'
        ]
    ],
    'tool_config' => [
        'tavily_max_results' => 1
    ],
    'tool_activation' => [
        'tavily_search' => true,
        'wolfram_alpha' => true,
        'document_retriever' => false,
        'notion_connector' => false
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "bbot-api-key: <api-key>"
  ],
]);

$response = curl_exec($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.b-bot.space/api/v1/invoke_agent"

	payload := strings.NewReader("{\n  \"expert_id\": 37,\n  \"ability_id\": 80,\n  \"model_id\": 6,\n  \"session_id\": \"12333333\",\n  \"input_data\": \"use the Assistant Consultation Tool to call an Assistant for help regarding a question\",\n  \"temperature\": 0,\n  \"user_id\": \"123\",\n  \"document_urls\": [\n    \"<string>\"\n  ],\n  \"conversation_history\": [\n    {\n      \"role\": \"<string>\",\n      \"content\": \"<string>\"\n    }\n  ],\n  \"tool_config\": {\n    \"tavily_max_results\": 1\n  },\n  \"tool_activation\": {\n    \"tavily_search\": true,\n    \"wolfram_alpha\": true,\n    \"document_retriever\": false,\n    \"notion_connector\": false\n  }\n}")

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

	req.Header.Add("bbot-api-key", "<api-key>")
	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.b-bot.space/api/v1/invoke_agent")
  .header("bbot-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"expert_id\": 37,\n  \"ability_id\": 80,\n  \"model_id\": 6,\n  \"session_id\": \"12333333\",\n  \"input_data\": \"use the Assistant Consultation Tool to call an Assistant for help regarding a question\",\n  \"temperature\": 0,\n  \"user_id\": \"123\",\n  \"document_urls\": [\n    \"<string>\"\n  ],\n  \"conversation_history\": [\n    {\n      \"role\": \"<string>\",\n      \"content\": \"<string>\"\n    }\n  ],\n  \"tool_config\": {\n    \"tavily_max_results\": 1\n  },\n  \"tool_activation\": {\n    \"tavily_search\": true,\n    \"wolfram_alpha\": true,\n    \"document_retriever\": false,\n    \"notion_connector\": false\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.b-bot.space/api/v1/invoke_agent")

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

request = Net::HTTP::Post.new(url)
request["bbot-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"expert_id\": 37,\n  \"ability_id\": 80,\n  \"model_id\": 6,\n  \"session_id\": \"12333333\",\n  \"input_data\": \"use the Assistant Consultation Tool to call an Assistant for help regarding a question\",\n  \"temperature\": 0,\n  \"user_id\": \"123\",\n  \"document_urls\": [\n    \"<string>\"\n  ],\n  \"conversation_history\": [\n    {\n      \"role\": \"<string>\",\n      \"content\": \"<string>\"\n    }\n  ],\n  \"tool_config\": {\n    \"tavily_max_results\": 1\n  },\n  \"tool_activation\": {\n    \"tavily_search\": true,\n    \"wolfram_alpha\": true,\n    \"document_retriever\": false,\n    \"notion_connector\": false\n  }\n}"

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

{
  "input": "use the Assistant Consultation Tool to call an Assistant for help regarding a question",
  "chat_history": [
    {
      "role": "<string>",
      "content": "<string>"
    }
  ],
  "output": "### Marketing Strategy Improvement Tips:\n- **Set Objectives Right Away:** Setting clear objectives is crucial...",
  "intermediate_steps": [
    [
      {
        "tool": "<string>",
        "tool_input": {
          "query": "<string>"
        },
        "log": "<string>",
        "message_log": [
          {
            "content": "<string>",
            "additional_kwargs": {
              "tool_calls": [
                {
                  "index": 123,
                  "id": "<string>",
                  "function": {
                    "arguments": "<string>",
                    "name": "<string>"
                  },
                  "type": "<string>"
                }
              ]
            }
          }
        ],
        "tool_call_id": "<string>"
      }
    ]
  ]
}

{
  "error": 123,
  "message": "<string>"
}