curl --request POST \
  --url https://{api_endpoint}/v1/orchestrate/agents \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data @- <<EOF
{
  "description": "<string>",
  "name": "<string>",
  "display_name": "<string>",
  "instructions": "<string>",
  "tools": [],
  "collaborators": [],
  "llm": "<string>",
  "supported_apps": [
    "slack/askhr"
  ],
  "glossary": [],
  "guidelines": [],
  "knowledge_base": [],
  "hidden": false,
  "structured_output": {},
  "custom_join_tool": "<string>",
  "additional_properties": {
    "starter_prompts": {
      "customize": [
        {
          "title": "<string>",
          "prompt": "<string>",
          "id": "<string>",
          "subtitle": "<string>",
          "state": "<string>"
        }
      ]
    },
    "welcome_content": {
      "welcome_message": "<string>",
      "description": "<string>",
      "is_default_voice_greeting": false
    },
    "icon": "<string>",
    "realtime_agent_settings": {
      "enabled": true
    },
    "context_settings": {
      "context_compaction_enabled": true,
      "context_compaction_threshold": 123,
      "compaction_sliding_window": 123,
      "large_message_threshold": 123,
      "large_message_chunk_size": 123,
      "large_message_target_summary": 123,
      "large_message_detect_structured": true
    }
  },
  "tags": [],
  "chat_with_docs": {
    "enabled": false,
    "supports_full_document": true,
    "vector_index": {
      "embeddings_model_name": "<string>",
      "chunk_size": 400,
      "chunk_overlap": 50,
      "limit": 10,
      "extraction_strategy": "standard"
    },
    "generation": {
      "model_id": "<string>",
      "prompt_instruction": "",
      "max_docs_passed_to_llm": 5,
      "generated_response_length": "Moderate",
      "display_text_no_results_found": "I searched my knowledge base, but did not find anything related to your query",
      "display_text_connectivity_issue": "I might have information related to your query to share, but am unable to connect to my knowledge base at the moment",
      "idk_message": "I'm afraid I don't understand. Please rephrase your question.",
      "enabled": false
    },
    "query_rewrite": {
      "enabled": true,
      "model_id": "<string>"
    },
    "confidence_thresholds": {
      "retrieval_confidence_threshold": "Lowest",
      "response_confidence_threshold": "Lowest"
    },
    "citations": {
      "citation_title": "How do we know?",
      "citations_shown": -1
    },
    "hap_filtering": {
      "output": {
        "enabled": false,
        "threshold": 0.5
      }
    },
    "query_source": "Agent",
    "agent_query_description": "The query to search for in the knowledge base"
  },
  "context_access_enabled": true,
  "context_variables": [],
  "connection_ids": [],
  "hide_reasoning": false,
  "sync_tool_flow_interactions": true,
  "voice_configuration_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "restrictions": "editable",
  "bundled_agent_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "workspace_id": "00000000-0000-0000-0000-000000000001",
  "llm_config": {
    "decoding_method": "<string>",
    "prompt": "<string>",
    "max_tokens": 123,
    "max_completion_tokens": 123,
    "temperature": 123,
    "top_p": 123,
    "n": 123,
    "stream": true,
    "logprobs": 123,
    "top_logprobs": true,
    "echo": true,
    "stop": "<string>",
    "presence_penalty": 123,
    "frequency_penalty": 123,
    "best_of": 123,
    "logit_bias": {},
    "user": "<string>",
    "context": "<string>",
    "examples": [
      {
        "input": "<unknown>",
        "output": "<unknown>"
      }
    ],
    "top_k": 123,
    "response_format": {
      "type": "<string>",
      "json_schema": null
    },
    "seed": 123,
    "store": true,
    "metadata": {},
    "modalities": [
      "<string>"
    ],
    "audio": {
      "voice": "<string>",
      "format": "<string>"
    },
    "service_tier": "<string>",
    "prediction": {
      "type": "<string>",
      "content": [
        {
          "type": "<string>",
          "text": "<string>"
        }
      ]
    },
    "safety_settings": null,
    "anthropic_beta": "<string>",
    "anthropic_version": "<string>",
    "thinking": {
      "budget_tokens": 123,
      "type": "<string>"
    },
    "space_id": "<string>",
    "project_id": "<string>",
    "reasoning_effort": "<string>",
    "parallel_tool_calls": true,
    "disable_parallel_tool_use": true,
    "disable_tool_validation": true,
    "verbosity": "<string>",
    "thinking_level": "<string>"
  },
  "plugins": {
    "agent_pre_invoke": [
      {
        "plugin_id": "<string>"
      }
    ],
    "agent_post_invoke": [
      {
        "plugin_id": "<string>"
      }
    ]
  },
  "toolkits": [],
  "memory_enabled": false,
  "is_schedulable": false
}
EOF

import requests

url = "https://{api_endpoint}/v1/orchestrate/agents"

payload = {
    "description": "<string>",
    "name": "<string>",
    "display_name": "<string>",
    "instructions": "<string>",
    "tools": [],
    "collaborators": [],
    "llm": "<string>",
    "supported_apps": ["slack/askhr"],
    "glossary": [],
    "guidelines": [],
    "knowledge_base": [],
    "hidden": False,
    "structured_output": {},
    "custom_join_tool": "<string>",
    "additional_properties": {
        "starter_prompts": { "customize": [
                {
                    "title": "<string>",
                    "prompt": "<string>",
                    "id": "<string>",
                    "subtitle": "<string>",
                    "state": "<string>"
                }
            ] },
        "welcome_content": {
            "welcome_message": "<string>",
            "description": "<string>",
            "is_default_voice_greeting": False
        },
        "icon": "<string>",
        "realtime_agent_settings": { "enabled": True },
        "context_settings": {
            "context_compaction_enabled": True,
            "context_compaction_threshold": 123,
            "compaction_sliding_window": 123,
            "large_message_threshold": 123,
            "large_message_chunk_size": 123,
            "large_message_target_summary": 123,
            "large_message_detect_structured": True
        }
    },
    "tags": [],
    "chat_with_docs": {
        "enabled": False,
        "supports_full_document": True,
        "vector_index": {
            "embeddings_model_name": "<string>",
            "chunk_size": 400,
            "chunk_overlap": 50,
            "limit": 10,
            "extraction_strategy": "standard"
        },
        "generation": {
            "model_id": "<string>",
            "prompt_instruction": "",
            "max_docs_passed_to_llm": 5,
            "generated_response_length": "Moderate",
            "display_text_no_results_found": "I searched my knowledge base, but did not find anything related to your query",
            "display_text_connectivity_issue": "I might have information related to your query to share, but am unable to connect to my knowledge base at the moment",
            "idk_message": "I'm afraid I don't understand. Please rephrase your question.",
            "enabled": False
        },
        "query_rewrite": {
            "enabled": True,
            "model_id": "<string>"
        },
        "confidence_thresholds": {
            "retrieval_confidence_threshold": "Lowest",
            "response_confidence_threshold": "Lowest"
        },
        "citations": {
            "citation_title": "How do we know?",
            "citations_shown": -1
        },
        "hap_filtering": { "output": {
                "enabled": False,
                "threshold": 0.5
            } },
        "query_source": "Agent",
        "agent_query_description": "The query to search for in the knowledge base"
    },
    "context_access_enabled": True,
    "context_variables": [],
    "connection_ids": [],
    "hide_reasoning": False,
    "sync_tool_flow_interactions": True,
    "voice_configuration_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "restrictions": "editable",
    "bundled_agent_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "workspace_id": "00000000-0000-0000-0000-000000000001",
    "llm_config": {
        "decoding_method": "<string>",
        "prompt": "<string>",
        "max_tokens": 123,
        "max_completion_tokens": 123,
        "temperature": 123,
        "top_p": 123,
        "n": 123,
        "stream": True,
        "logprobs": 123,
        "top_logprobs": True,
        "echo": True,
        "stop": "<string>",
        "presence_penalty": 123,
        "frequency_penalty": 123,
        "best_of": 123,
        "logit_bias": {},
        "user": "<string>",
        "context": "<string>",
        "examples": [
            {
                "input": "<unknown>",
                "output": "<unknown>"
            }
        ],
        "top_k": 123,
        "response_format": {
            "type": "<string>",
            "json_schema": None
        },
        "seed": 123,
        "store": True,
        "metadata": {},
        "modalities": ["<string>"],
        "audio": {
            "voice": "<string>",
            "format": "<string>"
        },
        "service_tier": "<string>",
        "prediction": {
            "type": "<string>",
            "content": [
                {
                    "type": "<string>",
                    "text": "<string>"
                }
            ]
        },
        "safety_settings": None,
        "anthropic_beta": "<string>",
        "anthropic_version": "<string>",
        "thinking": {
            "budget_tokens": 123,
            "type": "<string>"
        },
        "space_id": "<string>",
        "project_id": "<string>",
        "reasoning_effort": "<string>",
        "parallel_tool_calls": True,
        "disable_parallel_tool_use": True,
        "disable_tool_validation": True,
        "verbosity": "<string>",
        "thinking_level": "<string>"
    },
    "plugins": {
        "agent_pre_invoke": [{ "plugin_id": "<string>" }],
        "agent_post_invoke": [{ "plugin_id": "<string>" }]
    },
    "toolkits": [],
    "memory_enabled": False,
    "is_schedulable": False
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    description: '<string>',
    name: '<string>',
    display_name: '<string>',
    instructions: '<string>',
    tools: [],
    collaborators: [],
    llm: '<string>',
    supported_apps: ['slack/askhr'],
    glossary: [],
    guidelines: [],
    knowledge_base: [],
    hidden: false,
    structured_output: {},
    custom_join_tool: '<string>',
    additional_properties: {
      starter_prompts: {
        customize: [
          {
            title: '<string>',
            prompt: '<string>',
            id: '<string>',
            subtitle: '<string>',
            state: '<string>'
          }
        ]
      },
      welcome_content: {
        welcome_message: '<string>',
        description: '<string>',
        is_default_voice_greeting: false
      },
      icon: '<string>',
      realtime_agent_settings: {enabled: true},
      context_settings: {
        context_compaction_enabled: true,
        context_compaction_threshold: 123,
        compaction_sliding_window: 123,
        large_message_threshold: 123,
        large_message_chunk_size: 123,
        large_message_target_summary: 123,
        large_message_detect_structured: true
      }
    },
    tags: [],
    chat_with_docs: {
      enabled: false,
      supports_full_document: true,
      vector_index: {
        embeddings_model_name: '<string>',
        chunk_size: 400,
        chunk_overlap: 50,
        limit: 10,
        extraction_strategy: 'standard'
      },
      generation: {
        model_id: '<string>',
        prompt_instruction: '',
        max_docs_passed_to_llm: 5,
        generated_response_length: 'Moderate',
        display_text_no_results_found: 'I searched my knowledge base, but did not find anything related to your query',
        display_text_connectivity_issue: 'I might have information related to your query to share, but am unable to connect to my knowledge base at the moment',
        idk_message: 'I\'m afraid I don\'t understand. Please rephrase your question.',
        enabled: false
      },
      query_rewrite: {enabled: true, model_id: '<string>'},
      confidence_thresholds: {
        retrieval_confidence_threshold: 'Lowest',
        response_confidence_threshold: 'Lowest'
      },
      citations: {citation_title: 'How do we know?', citations_shown: -1},
      hap_filtering: {output: {enabled: false, threshold: 0.5}},
      query_source: 'Agent',
      agent_query_description: 'The query to search for in the knowledge base'
    },
    context_access_enabled: true,
    context_variables: [],
    connection_ids: [],
    hide_reasoning: false,
    sync_tool_flow_interactions: true,
    voice_configuration_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    restrictions: 'editable',
    bundled_agent_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    workspace_id: '00000000-0000-0000-0000-000000000001',
    llm_config: {
      decoding_method: '<string>',
      prompt: '<string>',
      max_tokens: 123,
      max_completion_tokens: 123,
      temperature: 123,
      top_p: 123,
      n: 123,
      stream: true,
      logprobs: 123,
      top_logprobs: true,
      echo: true,
      stop: '<string>',
      presence_penalty: 123,
      frequency_penalty: 123,
      best_of: 123,
      logit_bias: {},
      user: '<string>',
      context: '<string>',
      examples: [{input: '<unknown>', output: '<unknown>'}],
      top_k: 123,
      response_format: {type: '<string>', json_schema: null},
      seed: 123,
      store: true,
      metadata: {},
      modalities: ['<string>'],
      audio: {voice: '<string>', format: '<string>'},
      service_tier: '<string>',
      prediction: {type: '<string>', content: [{type: '<string>', text: '<string>'}]},
      safety_settings: null,
      anthropic_beta: '<string>',
      anthropic_version: '<string>',
      thinking: {budget_tokens: 123, type: '<string>'},
      space_id: '<string>',
      project_id: '<string>',
      reasoning_effort: '<string>',
      parallel_tool_calls: true,
      disable_parallel_tool_use: true,
      disable_tool_validation: true,
      verbosity: '<string>',
      thinking_level: '<string>'
    },
    plugins: {
      agent_pre_invoke: [{plugin_id: '<string>'}],
      agent_post_invoke: [{plugin_id: '<string>'}]
    },
    toolkits: [],
    memory_enabled: false,
    is_schedulable: false
  })
};

fetch('https://{api_endpoint}/v1/orchestrate/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://{api_endpoint}/v1/orchestrate/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([
    'description' => '<string>',
    'name' => '<string>',
    'display_name' => '<string>',
    'instructions' => '<string>',
    'tools' => [
        
    ],
    'collaborators' => [
        
    ],
    'llm' => '<string>',
    'supported_apps' => [
        'slack/askhr'
    ],
    'glossary' => [
        
    ],
    'guidelines' => [
        
    ],
    'knowledge_base' => [
        
    ],
    'hidden' => false,
    'structured_output' => [
        
    ],
    'custom_join_tool' => '<string>',
    'additional_properties' => [
        'starter_prompts' => [
                'customize' => [
                                [
                                                                'title' => '<string>',
                                                                'prompt' => '<string>',
                                                                'id' => '<string>',
                                                                'subtitle' => '<string>',
                                                                'state' => '<string>'
                                ]
                ]
        ],
        'welcome_content' => [
                'welcome_message' => '<string>',
                'description' => '<string>',
                'is_default_voice_greeting' => false
        ],
        'icon' => '<string>',
        'realtime_agent_settings' => [
                'enabled' => true
        ],
        'context_settings' => [
                'context_compaction_enabled' => true,
                'context_compaction_threshold' => 123,
                'compaction_sliding_window' => 123,
                'large_message_threshold' => 123,
                'large_message_chunk_size' => 123,
                'large_message_target_summary' => 123,
                'large_message_detect_structured' => true
        ]
    ],
    'tags' => [
        
    ],
    'chat_with_docs' => [
        'enabled' => false,
        'supports_full_document' => true,
        'vector_index' => [
                'embeddings_model_name' => '<string>',
                'chunk_size' => 400,
                'chunk_overlap' => 50,
                'limit' => 10,
                'extraction_strategy' => 'standard'
        ],
        'generation' => [
                'model_id' => '<string>',
                'prompt_instruction' => '',
                'max_docs_passed_to_llm' => 5,
                'generated_response_length' => 'Moderate',
                'display_text_no_results_found' => 'I searched my knowledge base, but did not find anything related to your query',
                'display_text_connectivity_issue' => 'I might have information related to your query to share, but am unable to connect to my knowledge base at the moment',
                'idk_message' => 'I\'m afraid I don\'t understand. Please rephrase your question.',
                'enabled' => false
        ],
        'query_rewrite' => [
                'enabled' => true,
                'model_id' => '<string>'
        ],
        'confidence_thresholds' => [
                'retrieval_confidence_threshold' => 'Lowest',
                'response_confidence_threshold' => 'Lowest'
        ],
        'citations' => [
                'citation_title' => 'How do we know?',
                'citations_shown' => -1
        ],
        'hap_filtering' => [
                'output' => [
                                'enabled' => false,
                                'threshold' => 0.5
                ]
        ],
        'query_source' => 'Agent',
        'agent_query_description' => 'The query to search for in the knowledge base'
    ],
    'context_access_enabled' => true,
    'context_variables' => [
        
    ],
    'connection_ids' => [
        
    ],
    'hide_reasoning' => false,
    'sync_tool_flow_interactions' => true,
    'voice_configuration_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'restrictions' => 'editable',
    'bundled_agent_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'workspace_id' => '00000000-0000-0000-0000-000000000001',
    'llm_config' => [
        'decoding_method' => '<string>',
        'prompt' => '<string>',
        'max_tokens' => 123,
        'max_completion_tokens' => 123,
        'temperature' => 123,
        'top_p' => 123,
        'n' => 123,
        'stream' => true,
        'logprobs' => 123,
        'top_logprobs' => true,
        'echo' => true,
        'stop' => '<string>',
        'presence_penalty' => 123,
        'frequency_penalty' => 123,
        'best_of' => 123,
        'logit_bias' => [
                
        ],
        'user' => '<string>',
        'context' => '<string>',
        'examples' => [
                [
                                'input' => '<unknown>',
                                'output' => '<unknown>'
                ]
        ],
        'top_k' => 123,
        'response_format' => [
                'type' => '<string>',
                'json_schema' => null
        ],
        'seed' => 123,
        'store' => true,
        'metadata' => [
                
        ],
        'modalities' => [
                '<string>'
        ],
        'audio' => [
                'voice' => '<string>',
                'format' => '<string>'
        ],
        'service_tier' => '<string>',
        'prediction' => [
                'type' => '<string>',
                'content' => [
                                [
                                                                'type' => '<string>',
                                                                'text' => '<string>'
                                ]
                ]
        ],
        'safety_settings' => null,
        'anthropic_beta' => '<string>',
        'anthropic_version' => '<string>',
        'thinking' => [
                'budget_tokens' => 123,
                'type' => '<string>'
        ],
        'space_id' => '<string>',
        'project_id' => '<string>',
        'reasoning_effort' => '<string>',
        'parallel_tool_calls' => true,
        'disable_parallel_tool_use' => true,
        'disable_tool_validation' => true,
        'verbosity' => '<string>',
        'thinking_level' => '<string>'
    ],
    'plugins' => [
        'agent_pre_invoke' => [
                [
                                'plugin_id' => '<string>'
                ]
        ],
        'agent_post_invoke' => [
                [
                                'plugin_id' => '<string>'
                ]
        ]
    ],
    'toolkits' => [
        
    ],
    'memory_enabled' => false,
    'is_schedulable' => false
  ]),
  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_endpoint}/v1/orchestrate/agents"

	payload := strings.NewReader("{\n  \"description\": \"<string>\",\n  \"name\": \"<string>\",\n  \"display_name\": \"<string>\",\n  \"instructions\": \"<string>\",\n  \"tools\": [],\n  \"collaborators\": [],\n  \"llm\": \"<string>\",\n  \"supported_apps\": [\n    \"slack/askhr\"\n  ],\n  \"glossary\": [],\n  \"guidelines\": [],\n  \"knowledge_base\": [],\n  \"hidden\": false,\n  \"structured_output\": {},\n  \"custom_join_tool\": \"<string>\",\n  \"additional_properties\": {\n    \"starter_prompts\": {\n      \"customize\": [\n        {\n          \"title\": \"<string>\",\n          \"prompt\": \"<string>\",\n          \"id\": \"<string>\",\n          \"subtitle\": \"<string>\",\n          \"state\": \"<string>\"\n        }\n      ]\n    },\n    \"welcome_content\": {\n      \"welcome_message\": \"<string>\",\n      \"description\": \"<string>\",\n      \"is_default_voice_greeting\": false\n    },\n    \"icon\": \"<string>\",\n    \"realtime_agent_settings\": {\n      \"enabled\": true\n    },\n    \"context_settings\": {\n      \"context_compaction_enabled\": true,\n      \"context_compaction_threshold\": 123,\n      \"compaction_sliding_window\": 123,\n      \"large_message_threshold\": 123,\n      \"large_message_chunk_size\": 123,\n      \"large_message_target_summary\": 123,\n      \"large_message_detect_structured\": true\n    }\n  },\n  \"tags\": [],\n  \"chat_with_docs\": {\n    \"enabled\": false,\n    \"supports_full_document\": true,\n    \"vector_index\": {\n      \"embeddings_model_name\": \"<string>\",\n      \"chunk_size\": 400,\n      \"chunk_overlap\": 50,\n      \"limit\": 10,\n      \"extraction_strategy\": \"standard\"\n    },\n    \"generation\": {\n      \"model_id\": \"<string>\",\n      \"prompt_instruction\": \"\",\n      \"max_docs_passed_to_llm\": 5,\n      \"generated_response_length\": \"Moderate\",\n      \"display_text_no_results_found\": \"I searched my knowledge base, but did not find anything related to your query\",\n      \"display_text_connectivity_issue\": \"I might have information related to your query to share, but am unable to connect to my knowledge base at the moment\",\n      \"idk_message\": \"I'm afraid I don't understand. Please rephrase your question.\",\n      \"enabled\": false\n    },\n    \"query_rewrite\": {\n      \"enabled\": true,\n      \"model_id\": \"<string>\"\n    },\n    \"confidence_thresholds\": {\n      \"retrieval_confidence_threshold\": \"Lowest\",\n      \"response_confidence_threshold\": \"Lowest\"\n    },\n    \"citations\": {\n      \"citation_title\": \"How do we know?\",\n      \"citations_shown\": -1\n    },\n    \"hap_filtering\": {\n      \"output\": {\n        \"enabled\": false,\n        \"threshold\": 0.5\n      }\n    },\n    \"query_source\": \"Agent\",\n    \"agent_query_description\": \"The query to search for in the knowledge base\"\n  },\n  \"context_access_enabled\": true,\n  \"context_variables\": [],\n  \"connection_ids\": [],\n  \"hide_reasoning\": false,\n  \"sync_tool_flow_interactions\": true,\n  \"voice_configuration_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"restrictions\": \"editable\",\n  \"bundled_agent_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"workspace_id\": \"00000000-0000-0000-0000-000000000001\",\n  \"llm_config\": {\n    \"decoding_method\": \"<string>\",\n    \"prompt\": \"<string>\",\n    \"max_tokens\": 123,\n    \"max_completion_tokens\": 123,\n    \"temperature\": 123,\n    \"top_p\": 123,\n    \"n\": 123,\n    \"stream\": true,\n    \"logprobs\": 123,\n    \"top_logprobs\": true,\n    \"echo\": true,\n    \"stop\": \"<string>\",\n    \"presence_penalty\": 123,\n    \"frequency_penalty\": 123,\n    \"best_of\": 123,\n    \"logit_bias\": {},\n    \"user\": \"<string>\",\n    \"context\": \"<string>\",\n    \"examples\": [\n      {\n        \"input\": \"<unknown>\",\n        \"output\": \"<unknown>\"\n      }\n    ],\n    \"top_k\": 123,\n    \"response_format\": {\n      \"type\": \"<string>\",\n      \"json_schema\": null\n    },\n    \"seed\": 123,\n    \"store\": true,\n    \"metadata\": {},\n    \"modalities\": [\n      \"<string>\"\n    ],\n    \"audio\": {\n      \"voice\": \"<string>\",\n      \"format\": \"<string>\"\n    },\n    \"service_tier\": \"<string>\",\n    \"prediction\": {\n      \"type\": \"<string>\",\n      \"content\": [\n        {\n          \"type\": \"<string>\",\n          \"text\": \"<string>\"\n        }\n      ]\n    },\n    \"safety_settings\": null,\n    \"anthropic_beta\": \"<string>\",\n    \"anthropic_version\": \"<string>\",\n    \"thinking\": {\n      \"budget_tokens\": 123,\n      \"type\": \"<string>\"\n    },\n    \"space_id\": \"<string>\",\n    \"project_id\": \"<string>\",\n    \"reasoning_effort\": \"<string>\",\n    \"parallel_tool_calls\": true,\n    \"disable_parallel_tool_use\": true,\n    \"disable_tool_validation\": true,\n    \"verbosity\": \"<string>\",\n    \"thinking_level\": \"<string>\"\n  },\n  \"plugins\": {\n    \"agent_pre_invoke\": [\n      {\n        \"plugin_id\": \"<string>\"\n      }\n    ],\n    \"agent_post_invoke\": [\n      {\n        \"plugin_id\": \"<string>\"\n      }\n    ]\n  },\n  \"toolkits\": [],\n  \"memory_enabled\": false,\n  \"is_schedulable\": false\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_endpoint}/v1/orchestrate/agents")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"description\": \"<string>\",\n  \"name\": \"<string>\",\n  \"display_name\": \"<string>\",\n  \"instructions\": \"<string>\",\n  \"tools\": [],\n  \"collaborators\": [],\n  \"llm\": \"<string>\",\n  \"supported_apps\": [\n    \"slack/askhr\"\n  ],\n  \"glossary\": [],\n  \"guidelines\": [],\n  \"knowledge_base\": [],\n  \"hidden\": false,\n  \"structured_output\": {},\n  \"custom_join_tool\": \"<string>\",\n  \"additional_properties\": {\n    \"starter_prompts\": {\n      \"customize\": [\n        {\n          \"title\": \"<string>\",\n          \"prompt\": \"<string>\",\n          \"id\": \"<string>\",\n          \"subtitle\": \"<string>\",\n          \"state\": \"<string>\"\n        }\n      ]\n    },\n    \"welcome_content\": {\n      \"welcome_message\": \"<string>\",\n      \"description\": \"<string>\",\n      \"is_default_voice_greeting\": false\n    },\n    \"icon\": \"<string>\",\n    \"realtime_agent_settings\": {\n      \"enabled\": true\n    },\n    \"context_settings\": {\n      \"context_compaction_enabled\": true,\n      \"context_compaction_threshold\": 123,\n      \"compaction_sliding_window\": 123,\n      \"large_message_threshold\": 123,\n      \"large_message_chunk_size\": 123,\n      \"large_message_target_summary\": 123,\n      \"large_message_detect_structured\": true\n    }\n  },\n  \"tags\": [],\n  \"chat_with_docs\": {\n    \"enabled\": false,\n    \"supports_full_document\": true,\n    \"vector_index\": {\n      \"embeddings_model_name\": \"<string>\",\n      \"chunk_size\": 400,\n      \"chunk_overlap\": 50,\n      \"limit\": 10,\n      \"extraction_strategy\": \"standard\"\n    },\n    \"generation\": {\n      \"model_id\": \"<string>\",\n      \"prompt_instruction\": \"\",\n      \"max_docs_passed_to_llm\": 5,\n      \"generated_response_length\": \"Moderate\",\n      \"display_text_no_results_found\": \"I searched my knowledge base, but did not find anything related to your query\",\n      \"display_text_connectivity_issue\": \"I might have information related to your query to share, but am unable to connect to my knowledge base at the moment\",\n      \"idk_message\": \"I'm afraid I don't understand. Please rephrase your question.\",\n      \"enabled\": false\n    },\n    \"query_rewrite\": {\n      \"enabled\": true,\n      \"model_id\": \"<string>\"\n    },\n    \"confidence_thresholds\": {\n      \"retrieval_confidence_threshold\": \"Lowest\",\n      \"response_confidence_threshold\": \"Lowest\"\n    },\n    \"citations\": {\n      \"citation_title\": \"How do we know?\",\n      \"citations_shown\": -1\n    },\n    \"hap_filtering\": {\n      \"output\": {\n        \"enabled\": false,\n        \"threshold\": 0.5\n      }\n    },\n    \"query_source\": \"Agent\",\n    \"agent_query_description\": \"The query to search for in the knowledge base\"\n  },\n  \"context_access_enabled\": true,\n  \"context_variables\": [],\n  \"connection_ids\": [],\n  \"hide_reasoning\": false,\n  \"sync_tool_flow_interactions\": true,\n  \"voice_configuration_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"restrictions\": \"editable\",\n  \"bundled_agent_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"workspace_id\": \"00000000-0000-0000-0000-000000000001\",\n  \"llm_config\": {\n    \"decoding_method\": \"<string>\",\n    \"prompt\": \"<string>\",\n    \"max_tokens\": 123,\n    \"max_completion_tokens\": 123,\n    \"temperature\": 123,\n    \"top_p\": 123,\n    \"n\": 123,\n    \"stream\": true,\n    \"logprobs\": 123,\n    \"top_logprobs\": true,\n    \"echo\": true,\n    \"stop\": \"<string>\",\n    \"presence_penalty\": 123,\n    \"frequency_penalty\": 123,\n    \"best_of\": 123,\n    \"logit_bias\": {},\n    \"user\": \"<string>\",\n    \"context\": \"<string>\",\n    \"examples\": [\n      {\n        \"input\": \"<unknown>\",\n        \"output\": \"<unknown>\"\n      }\n    ],\n    \"top_k\": 123,\n    \"response_format\": {\n      \"type\": \"<string>\",\n      \"json_schema\": null\n    },\n    \"seed\": 123,\n    \"store\": true,\n    \"metadata\": {},\n    \"modalities\": [\n      \"<string>\"\n    ],\n    \"audio\": {\n      \"voice\": \"<string>\",\n      \"format\": \"<string>\"\n    },\n    \"service_tier\": \"<string>\",\n    \"prediction\": {\n      \"type\": \"<string>\",\n      \"content\": [\n        {\n          \"type\": \"<string>\",\n          \"text\": \"<string>\"\n        }\n      ]\n    },\n    \"safety_settings\": null,\n    \"anthropic_beta\": \"<string>\",\n    \"anthropic_version\": \"<string>\",\n    \"thinking\": {\n      \"budget_tokens\": 123,\n      \"type\": \"<string>\"\n    },\n    \"space_id\": \"<string>\",\n    \"project_id\": \"<string>\",\n    \"reasoning_effort\": \"<string>\",\n    \"parallel_tool_calls\": true,\n    \"disable_parallel_tool_use\": true,\n    \"disable_tool_validation\": true,\n    \"verbosity\": \"<string>\",\n    \"thinking_level\": \"<string>\"\n  },\n  \"plugins\": {\n    \"agent_pre_invoke\": [\n      {\n        \"plugin_id\": \"<string>\"\n      }\n    ],\n    \"agent_post_invoke\": [\n      {\n        \"plugin_id\": \"<string>\"\n      }\n    ]\n  },\n  \"toolkits\": [],\n  \"memory_enabled\": false,\n  \"is_schedulable\": false\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://{api_endpoint}/v1/orchestrate/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  \"description\": \"<string>\",\n  \"name\": \"<string>\",\n  \"display_name\": \"<string>\",\n  \"instructions\": \"<string>\",\n  \"tools\": [],\n  \"collaborators\": [],\n  \"llm\": \"<string>\",\n  \"supported_apps\": [\n    \"slack/askhr\"\n  ],\n  \"glossary\": [],\n  \"guidelines\": [],\n  \"knowledge_base\": [],\n  \"hidden\": false,\n  \"structured_output\": {},\n  \"custom_join_tool\": \"<string>\",\n  \"additional_properties\": {\n    \"starter_prompts\": {\n      \"customize\": [\n        {\n          \"title\": \"<string>\",\n          \"prompt\": \"<string>\",\n          \"id\": \"<string>\",\n          \"subtitle\": \"<string>\",\n          \"state\": \"<string>\"\n        }\n      ]\n    },\n    \"welcome_content\": {\n      \"welcome_message\": \"<string>\",\n      \"description\": \"<string>\",\n      \"is_default_voice_greeting\": false\n    },\n    \"icon\": \"<string>\",\n    \"realtime_agent_settings\": {\n      \"enabled\": true\n    },\n    \"context_settings\": {\n      \"context_compaction_enabled\": true,\n      \"context_compaction_threshold\": 123,\n      \"compaction_sliding_window\": 123,\n      \"large_message_threshold\": 123,\n      \"large_message_chunk_size\": 123,\n      \"large_message_target_summary\": 123,\n      \"large_message_detect_structured\": true\n    }\n  },\n  \"tags\": [],\n  \"chat_with_docs\": {\n    \"enabled\": false,\n    \"supports_full_document\": true,\n    \"vector_index\": {\n      \"embeddings_model_name\": \"<string>\",\n      \"chunk_size\": 400,\n      \"chunk_overlap\": 50,\n      \"limit\": 10,\n      \"extraction_strategy\": \"standard\"\n    },\n    \"generation\": {\n      \"model_id\": \"<string>\",\n      \"prompt_instruction\": \"\",\n      \"max_docs_passed_to_llm\": 5,\n      \"generated_response_length\": \"Moderate\",\n      \"display_text_no_results_found\": \"I searched my knowledge base, but did not find anything related to your query\",\n      \"display_text_connectivity_issue\": \"I might have information related to your query to share, but am unable to connect to my knowledge base at the moment\",\n      \"idk_message\": \"I'm afraid I don't understand. Please rephrase your question.\",\n      \"enabled\": false\n    },\n    \"query_rewrite\": {\n      \"enabled\": true,\n      \"model_id\": \"<string>\"\n    },\n    \"confidence_thresholds\": {\n      \"retrieval_confidence_threshold\": \"Lowest\",\n      \"response_confidence_threshold\": \"Lowest\"\n    },\n    \"citations\": {\n      \"citation_title\": \"How do we know?\",\n      \"citations_shown\": -1\n    },\n    \"hap_filtering\": {\n      \"output\": {\n        \"enabled\": false,\n        \"threshold\": 0.5\n      }\n    },\n    \"query_source\": \"Agent\",\n    \"agent_query_description\": \"The query to search for in the knowledge base\"\n  },\n  \"context_access_enabled\": true,\n  \"context_variables\": [],\n  \"connection_ids\": [],\n  \"hide_reasoning\": false,\n  \"sync_tool_flow_interactions\": true,\n  \"voice_configuration_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"restrictions\": \"editable\",\n  \"bundled_agent_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"workspace_id\": \"00000000-0000-0000-0000-000000000001\",\n  \"llm_config\": {\n    \"decoding_method\": \"<string>\",\n    \"prompt\": \"<string>\",\n    \"max_tokens\": 123,\n    \"max_completion_tokens\": 123,\n    \"temperature\": 123,\n    \"top_p\": 123,\n    \"n\": 123,\n    \"stream\": true,\n    \"logprobs\": 123,\n    \"top_logprobs\": true,\n    \"echo\": true,\n    \"stop\": \"<string>\",\n    \"presence_penalty\": 123,\n    \"frequency_penalty\": 123,\n    \"best_of\": 123,\n    \"logit_bias\": {},\n    \"user\": \"<string>\",\n    \"context\": \"<string>\",\n    \"examples\": [\n      {\n        \"input\": \"<unknown>\",\n        \"output\": \"<unknown>\"\n      }\n    ],\n    \"top_k\": 123,\n    \"response_format\": {\n      \"type\": \"<string>\",\n      \"json_schema\": null\n    },\n    \"seed\": 123,\n    \"store\": true,\n    \"metadata\": {},\n    \"modalities\": [\n      \"<string>\"\n    ],\n    \"audio\": {\n      \"voice\": \"<string>\",\n      \"format\": \"<string>\"\n    },\n    \"service_tier\": \"<string>\",\n    \"prediction\": {\n      \"type\": \"<string>\",\n      \"content\": [\n        {\n          \"type\": \"<string>\",\n          \"text\": \"<string>\"\n        }\n      ]\n    },\n    \"safety_settings\": null,\n    \"anthropic_beta\": \"<string>\",\n    \"anthropic_version\": \"<string>\",\n    \"thinking\": {\n      \"budget_tokens\": 123,\n      \"type\": \"<string>\"\n    },\n    \"space_id\": \"<string>\",\n    \"project_id\": \"<string>\",\n    \"reasoning_effort\": \"<string>\",\n    \"parallel_tool_calls\": true,\n    \"disable_parallel_tool_use\": true,\n    \"disable_tool_validation\": true,\n    \"verbosity\": \"<string>\",\n    \"thinking_level\": \"<string>\"\n  },\n  \"plugins\": {\n    \"agent_pre_invoke\": [\n      {\n        \"plugin_id\": \"<string>\"\n      }\n    ],\n    \"agent_post_invoke\": [\n      {\n        \"plugin_id\": \"<string>\"\n      }\n    ]\n  },\n  \"toolkits\": [],\n  \"memory_enabled\": false,\n  \"is_schedulable\": false\n}"

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

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}