Create an agent

package main

import(
	"context"
	mka1 "github.com/MeetKai/mka1-sdks/go"
	"github.com/MeetKai/mka1-sdks/go/optionalnullable"
	"github.com/MeetKai/mka1-sdks/go/models/components"
	"log"
)

func main() {
    ctx := context.Background()

    s := mka1.New(
        mka1.WithSecurity("<YOUR_BEARER_TOKEN_HERE>"),
    )

    res, err := s.Agents.CreateAgent(ctx, components.CreateAgentRequest{
        Name: "release-research-agent",
        Description: optionalnullable.From(mka1.Pointer("Looks up current release information before answering.")),
        Model: "functionary-pt",
        Instructions: optionalnullable.From(mka1.Pointer("Use web search when the question depends on current external information.")),
        Tools: []components.ToolDefinitionUnion{
            components.CreateToolDefinitionUnionToolDefinition1(
                components.ToolDefinition1{
                    Type: components.ToolDefinitionType1WebSearch,
                    SearchContextSize: components.ToolDefinitionSearchContextSizeMedium.ToPointer(),
                },
            ),
        },
        ToolChoice: "auto",
    }, nil)
    if err != nil {
        log.Fatal(err)
    }
    if res.Agent != nil {
        // handle response
    }
}

using MeetKai.MKA1;
using MeetKai.MKA1.Types.Components;
using System.Collections.Generic;

var sdk = new SDK(bearerAuth: "<YOUR_BEARER_TOKEN_HERE>");

var res = await sdk.Agents.CreateAgentAsync(body: new MeetKai.MKA1.Types.Components.CreateAgentRequest() {
    Name = "release-research-agent",
    Description = "Looks up current release information before answering.",
    Model = "functionary-pt",
    Instructions = "Use web search when the question depends on current external information.",
    Tools = new List<ToolDefinitionUnion>() {
        ToolDefinitionUnion.CreateToolDefinition1(
            new ToolDefinition1() {
                Type = ToolDefinitionType1.WebSearch,
                SearchContextSize = ToolDefinitionSearchContextSize.Medium,
            }
        ),
    },
    ToolChoice = "auto",
});

// handle response

from meetkai_mka1 import SDK


with SDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:

    res = sdk.agents.create_agent(name="release-research-agent", model="functionary-pt", description="Looks up current release information before answering.", instructions="Use web search when the question depends on current external information.", tools=[
        {
            "type": "web_search",
            "search_context_size": "medium",
        },
    ], tool_choice="auto", parallel_tool_calls=True)

    # Handle response
    print(res)

import { SDK } from "@meetkai/mka1";

const sdk = new SDK({
  bearerAuth: "<YOUR_BEARER_TOKEN_HERE>",
});

async function run() {
  const result = await sdk.agents.createAgent({
    createAgentRequest: {
      name: "release-research-agent",
      description: "Looks up current release information before answering.",
      model: "functionary-pt",
      instructions: "Use web search when the question depends on current external information.",
      tools: [
        {
          type: "web_search",
          searchContextSize: "medium",
        },
      ],
      toolChoice: "auto",
    },
  });

  console.log(result);
}

run();

curl --request POST \
  --url https://apigw.mka1.com/api/v1/agents \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "release-research-agent",
  "description": "Looks up current release information before answering.",
  "model": "functionary-pt",
  "instructions": "Use web search when the question depends on current external information.",
  "tools": [
    {
      "type": "web_search",
      "search_context_size": "medium"
    }
  ],
  "tool_choice": "auto",
  "parallel_tool_calls": true
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: 'release-research-agent',
    description: 'Looks up current release information before answering.',
    model: 'functionary-pt',
    instructions: 'Use web search when the question depends on current external information.',
    tools: [{type: 'web_search', search_context_size: 'medium'}],
    tool_choice: 'auto',
    parallel_tool_calls: true
  })
};

fetch('https://apigw.mka1.com/api/v1/agents', 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://apigw.mka1.com/api/v1/agents",
  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([
    'name' => 'release-research-agent',
    'description' => 'Looks up current release information before answering.',
    'model' => 'functionary-pt',
    'instructions' => 'Use web search when the question depends on current external information.',
    'tools' => [
        [
                'type' => 'web_search',
                'search_context_size' => 'medium'
        ]
    ],
    'tool_choice' => 'auto',
    'parallel_tool_calls' => true
  ]),
  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;
}

HttpResponse<String> response = Unirest.post("https://apigw.mka1.com/api/v1/agents")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"release-research-agent\",\n  \"description\": \"Looks up current release information before answering.\",\n  \"model\": \"functionary-pt\",\n  \"instructions\": \"Use web search when the question depends on current external information.\",\n  \"tools\": [\n    {\n      \"type\": \"web_search\",\n      \"search_context_size\": \"medium\"\n    }\n  ],\n  \"tool_choice\": \"auto\",\n  \"parallel_tool_calls\": true\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://apigw.mka1.com/api/v1/agents")

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  \"name\": \"release-research-agent\",\n  \"description\": \"Looks up current release information before answering.\",\n  \"model\": \"functionary-pt\",\n  \"instructions\": \"Use web search when the question depends on current external information.\",\n  \"tools\": [\n    {\n      \"type\": \"web_search\",\n      \"search_context_size\": \"medium\"\n    }\n  ],\n  \"tool_choice\": \"auto\",\n  \"parallel_tool_calls\": true\n}"

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

{
  "object": "agent",
  "id": "<string>",
  "name": "<string>",
  "description": "<string>",
  "model": "functionary-pt",
  "instructions": "<string>",
  "tools": [
    {
      "type": "function_reference",
      "function_tool_id": "<string>"
    }
  ],
  "tool_choice": "<unknown>",
  "parallel_tool_calls": true,
  "max_tool_calls": 123,
  "fallback_models": [
    "<string>"
  ],
  "max_concurrent_runs": 500,
  "concurrency_overflow": "reject",
  "text": {
    "format": {
      "type": "text"
    },
    "verbosity": "low"
  },
  "reasoning": {
    "effort": "low"
  },
  "metadata": {},
  "version": 2,
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "deleted_at": "2023-11-07T05:31:56Z",
  "retention_expires_at": "2023-11-07T05:31:56Z",
  "within_restore_window": true,
  "can_restore": true
}

{
  "error": {
    "message": "<string>",
    "details": "<unknown>"
  }
}

{
  "error": {
    "message": "<string>",
    "details": "<unknown>"
  }
}