import honeyhive
from honeyhive.models import components

s = honeyhive.HoneyHive(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
)


res = s.configurations.create_configuration(request=components.PostConfigurationRequest(
    project='660d7ba7995cacccce4d299e',
    name='function-v0',
    provider='openai',
    parameters=components.PostConfigurationRequestParameters(
        call_type=components.PostConfigurationRequestCallType.CHAT,
        model='gpt-4-turbo-preview',
        hyperparameters={
            'temperature': 0,
            'max_tokens': 1000,
            'top_p': 1,
            'top_k': -1,
            'frequency_penalty': 0,
            'presence_penalty': 0,
            'stop_sequences': [
                '<value>',
            ],
        },
        selected_functions=[
            components.PostConfigurationRequestSelectedFunctions(
                id='64e3ba90e81f9b3a3808c27f',
                name='get_google_information',
                description='Get information from Google when you do not have that information in your context',
                parameters={
                    'type': 'object',
                    'properties': {
                        'query': {
                            'type': 'string',
                            'description': 'The query asked by the user',
                        },
                    },
                    'required': [
                        'query',
                    ],
                },
            ),
        ],
        function_call_params=components.PostConfigurationRequestFunctionCallParams.AUTO,
        force_function={

        },
        additional_properties={
            'template': [
                {
                    'role': 'system',
                    'content': 'You are a web search assistant.',
                },
                {
                    'role': 'user',
                    'content': '{{ query }}',
                },
            ],
        },
    ),
    env=[
        components.PostConfigurationRequestEnv.STAGING,
    ],
    user_properties={
        'user_id': 'google-oauth2|108897808434934946583',
        'user_name': 'Dhruv Singh',
        'user_picture': 'https://lh3.googleusercontent.com/a/ACg8ocLyQilNtK9RIv4M0p-0FBSbxljBP0p5JabnStku1AQKtFSK=s96-c',
        'user_email': 'dhruv@honeyhive.ai',
    },
))

if res is not None:
    # handle response
    pass

import { HoneyHive } from "honeyhive";
import { PostConfigurationRequestEnv } from "honeyhive/dist/models/components";

async function run() {
  const sdk = new HoneyHive({
    bearerAuth: "<YOUR_BEARER_TOKEN_HERE>",
  });

  const res = await sdk.configurations.createConfiguration({
    project: "660d7ba7995cacccce4d299e",
    name: "function-v0",
    provider: "openai",
    parameters: {
      "call_type": "chat",
      "model": "gpt-4-turbo-preview",
      "hyperparameters": {
        "temperature": 0,
        "max_tokens": 1000,
        "top_p": 1,
        "top_k": -1,
        "frequency_penalty": 0,
        "presence_penalty": 0,
        "stop_sequences": [
          "<value>",
        ],
      },
      "selectedFunctions": [
        {
          "id": "64e3ba90e81f9b3a3808c27f",
          "name": "get_google_information",
          "description": "Get information from Google when you do not have that information in your context",
          "parameters": {
            "type": "object",
            "properties": {
              "query": {
                "type": "string",
                "description": "The query asked by the user",
              },
            },
            "required": [
              "query",
            ],
          },
        },
      ],
      "functionCallParams": "auto",
      "forceFunction": {

      },
      "template": [
        {
          "role": "system",
          "content": "You are a web search assistant.",
        },
        {
          "role": "user",
          "content": "{{ query }}",
        },
      ],
    },
    env: [
      PostConfigurationRequestEnv.Staging,
    ],
    userProperties: {
      "user_id": "google-oauth2|108897808434934946583",
      "user_name": "Dhruv Singh",
      "user_picture": "https://lh3.googleusercontent.com/a/ACg8ocLyQilNtK9RIv4M0p-0FBSbxljBP0p5JabnStku1AQKtFSK=s96-c",
      "user_email": "dhruv@honeyhive.ai",
    },
  });

  if (res.statusCode == 200) {
    // handle response
  }
}

run();

curl --request POST \
  --url https://api.honeyhive.ai/configurations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "project": "660d7ba7995cacccce4d299e",
  "name": "function-v0",
  "provider": "openai",
  "parameters": {
    "call_type": "chat",
    "model": "gpt-4-turbo-preview",
    "hyperparameters": {
      "temperature": 0,
      "max_tokens": 1000,
      "top_p": 1,
      "top_k": -1,
      "frequency_penalty": 0,
      "presence_penalty": 0,
      "stop_sequences": []
    },
    "selectedFunctions": [
      {
        "id": "64e3ba90e81f9b3a3808c27f",
        "name": "get_google_information",
        "description": "Get information from Google when you do not have that information in your context",
        "parameters": {
          "type": "object",
          "properties": {
            "query": {
              "type": "string",
              "description": "The query asked by the user"
            }
          },
          "required": [
            "query"
          ]
        }
      }
    ],
    "functionCallParams": "auto",
    "forceFunction": {},
    "template": [
      {
        "role": "system",
        "content": "You are a web search assistant."
      },
      {
        "role": "user",
        "content": "{{ query }}"
      }
    ]
  },
  "tags": [],
  "env": [
    "staging"
  ],
  "user_properties": {
    "user_id": "google-oauth2|108897808434934946583",
    "user_name": "Dhruv Singh",
    "user_picture": "https://lh3.googleusercontent.com/a/ACg8ocLyQilNtK9RIv4M0p-0FBSbxljBP0p5JabnStku1AQKtFSK=s96-c",
    "user_email": "dhruv@honeyhive.ai"
  }
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    project: '660d7ba7995cacccce4d299e',
    name: 'function-v0',
    provider: 'openai',
    parameters: {
      call_type: 'chat',
      model: 'gpt-4-turbo-preview',
      hyperparameters: {
        temperature: 0,
        max_tokens: 1000,
        top_p: 1,
        top_k: -1,
        frequency_penalty: 0,
        presence_penalty: 0,
        stop_sequences: []
      },
      selectedFunctions: [
        {
          id: '64e3ba90e81f9b3a3808c27f',
          name: 'get_google_information',
          description: 'Get information from Google when you do not have that information in your context',
          parameters: {
            type: 'object',
            properties: {query: {type: 'string', description: 'The query asked by the user'}},
            required: ['query']
          }
        }
      ],
      functionCallParams: 'auto',
      forceFunction: {},
      template: [
        {role: 'system', content: 'You are a web search assistant.'},
        {role: 'user', content: '{{ query }}'}
      ]
    },
    tags: [],
    env: ['staging'],
    user_properties: {
      user_id: 'google-oauth2|108897808434934946583',
      user_name: 'Dhruv Singh',
      user_picture: 'https://lh3.googleusercontent.com/a/ACg8ocLyQilNtK9RIv4M0p-0FBSbxljBP0p5JabnStku1AQKtFSK=s96-c',
      user_email: 'dhruv@honeyhive.ai'
    }
  })
};

fetch('https://api.honeyhive.ai/configurations', 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.honeyhive.ai/configurations",
  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([
    'project' => '660d7ba7995cacccce4d299e',
    'name' => 'function-v0',
    'provider' => 'openai',
    'parameters' => [
        'call_type' => 'chat',
        'model' => 'gpt-4-turbo-preview',
        'hyperparameters' => [
                'temperature' => 0,
                'max_tokens' => 1000,
                'top_p' => 1,
                'top_k' => -1,
                'frequency_penalty' => 0,
                'presence_penalty' => 0,
                'stop_sequences' => [
                                
                ]
        ],
        'selectedFunctions' => [
                [
                                'id' => '64e3ba90e81f9b3a3808c27f',
                                'name' => 'get_google_information',
                                'description' => 'Get information from Google when you do not have that information in your context',
                                'parameters' => [
                                                                'type' => 'object',
                                                                'properties' => [
                                                                                                                                'query' => [
                                                                                                                                                                                                                                                                'type' => 'string',
                                                                                                                                                                                                                                                                'description' => 'The query asked by the user'
                                                                                                                                ]
                                                                ],
                                                                'required' => [
                                                                                                                                'query'
                                                                ]
                                ]
                ]
        ],
        'functionCallParams' => 'auto',
        'forceFunction' => [
                
        ],
        'template' => [
                [
                                'role' => 'system',
                                'content' => 'You are a web search assistant.'
                ],
                [
                                'role' => 'user',
                                'content' => '{{ query }}'
                ]
        ]
    ],
    'tags' => [
        
    ],
    'env' => [
        'staging'
    ],
    'user_properties' => [
        'user_id' => 'google-oauth2|108897808434934946583',
        'user_name' => 'Dhruv Singh',
        'user_picture' => 'https://lh3.googleusercontent.com/a/ACg8ocLyQilNtK9RIv4M0p-0FBSbxljBP0p5JabnStku1AQKtFSK=s96-c',
        'user_email' => 'dhruv@honeyhive.ai'
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($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.honeyhive.ai/configurations"

	payload := strings.NewReader("{\n  \"project\": \"660d7ba7995cacccce4d299e\",\n  \"name\": \"function-v0\",\n  \"provider\": \"openai\",\n  \"parameters\": {\n    \"call_type\": \"chat\",\n    \"model\": \"gpt-4-turbo-preview\",\n    \"hyperparameters\": {\n      \"temperature\": 0,\n      \"max_tokens\": 1000,\n      \"top_p\": 1,\n      \"top_k\": -1,\n      \"frequency_penalty\": 0,\n      \"presence_penalty\": 0,\n      \"stop_sequences\": []\n    },\n    \"selectedFunctions\": [\n      {\n        \"id\": \"64e3ba90e81f9b3a3808c27f\",\n        \"name\": \"get_google_information\",\n        \"description\": \"Get information from Google when you do not have that information in your context\",\n        \"parameters\": {\n          \"type\": \"object\",\n          \"properties\": {\n            \"query\": {\n              \"type\": \"string\",\n              \"description\": \"The query asked by the user\"\n            }\n          },\n          \"required\": [\n            \"query\"\n          ]\n        }\n      }\n    ],\n    \"functionCallParams\": \"auto\",\n    \"forceFunction\": {},\n    \"template\": [\n      {\n        \"role\": \"system\",\n        \"content\": \"You are a web search assistant.\"\n      },\n      {\n        \"role\": \"user\",\n        \"content\": \"{{ query }}\"\n      }\n    ]\n  },\n  \"tags\": [],\n  \"env\": [\n    \"staging\"\n  ],\n  \"user_properties\": {\n    \"user_id\": \"google-oauth2|108897808434934946583\",\n    \"user_name\": \"Dhruv Singh\",\n    \"user_picture\": \"https://lh3.googleusercontent.com/a/ACg8ocLyQilNtK9RIv4M0p-0FBSbxljBP0p5JabnStku1AQKtFSK=s96-c\",\n    \"user_email\": \"dhruv@honeyhive.ai\"\n  }\n}")

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

	req.Header.Add("Authorization", "Bearer <token>")
	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.honeyhive.ai/configurations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"project\": \"660d7ba7995cacccce4d299e\",\n  \"name\": \"function-v0\",\n  \"provider\": \"openai\",\n  \"parameters\": {\n    \"call_type\": \"chat\",\n    \"model\": \"gpt-4-turbo-preview\",\n    \"hyperparameters\": {\n      \"temperature\": 0,\n      \"max_tokens\": 1000,\n      \"top_p\": 1,\n      \"top_k\": -1,\n      \"frequency_penalty\": 0,\n      \"presence_penalty\": 0,\n      \"stop_sequences\": []\n    },\n    \"selectedFunctions\": [\n      {\n        \"id\": \"64e3ba90e81f9b3a3808c27f\",\n        \"name\": \"get_google_information\",\n        \"description\": \"Get information from Google when you do not have that information in your context\",\n        \"parameters\": {\n          \"type\": \"object\",\n          \"properties\": {\n            \"query\": {\n              \"type\": \"string\",\n              \"description\": \"The query asked by the user\"\n            }\n          },\n          \"required\": [\n            \"query\"\n          ]\n        }\n      }\n    ],\n    \"functionCallParams\": \"auto\",\n    \"forceFunction\": {},\n    \"template\": [\n      {\n        \"role\": \"system\",\n        \"content\": \"You are a web search assistant.\"\n      },\n      {\n        \"role\": \"user\",\n        \"content\": \"{{ query }}\"\n      }\n    ]\n  },\n  \"tags\": [],\n  \"env\": [\n    \"staging\"\n  ],\n  \"user_properties\": {\n    \"user_id\": \"google-oauth2|108897808434934946583\",\n    \"user_name\": \"Dhruv Singh\",\n    \"user_picture\": \"https://lh3.googleusercontent.com/a/ACg8ocLyQilNtK9RIv4M0p-0FBSbxljBP0p5JabnStku1AQKtFSK=s96-c\",\n    \"user_email\": \"dhruv@honeyhive.ai\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.honeyhive.ai/configurations")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"project\": \"660d7ba7995cacccce4d299e\",\n  \"name\": \"function-v0\",\n  \"provider\": \"openai\",\n  \"parameters\": {\n    \"call_type\": \"chat\",\n    \"model\": \"gpt-4-turbo-preview\",\n    \"hyperparameters\": {\n      \"temperature\": 0,\n      \"max_tokens\": 1000,\n      \"top_p\": 1,\n      \"top_k\": -1,\n      \"frequency_penalty\": 0,\n      \"presence_penalty\": 0,\n      \"stop_sequences\": []\n    },\n    \"selectedFunctions\": [\n      {\n        \"id\": \"64e3ba90e81f9b3a3808c27f\",\n        \"name\": \"get_google_information\",\n        \"description\": \"Get information from Google when you do not have that information in your context\",\n        \"parameters\": {\n          \"type\": \"object\",\n          \"properties\": {\n            \"query\": {\n              \"type\": \"string\",\n              \"description\": \"The query asked by the user\"\n            }\n          },\n          \"required\": [\n            \"query\"\n          ]\n        }\n      }\n    ],\n    \"functionCallParams\": \"auto\",\n    \"forceFunction\": {},\n    \"template\": [\n      {\n        \"role\": \"system\",\n        \"content\": \"You are a web search assistant.\"\n      },\n      {\n        \"role\": \"user\",\n        \"content\": \"{{ query }}\"\n      }\n    ]\n  },\n  \"tags\": [],\n  \"env\": [\n    \"staging\"\n  ],\n  \"user_properties\": {\n    \"user_id\": \"google-oauth2|108897808434934946583\",\n    \"user_name\": \"Dhruv Singh\",\n    \"user_picture\": \"https://lh3.googleusercontent.com/a/ACg8ocLyQilNtK9RIv4M0p-0FBSbxljBP0p5JabnStku1AQKtFSK=s96-c\",\n    \"user_email\": \"dhruv@honeyhive.ai\"\n  }\n}"

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