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Retrieve an agent

client.beta.agents.retrieve(stringagentID, RequestOptionsoptions?): Agent { id, created_at, instructions, 10 more }
GET/agents/{agent_id}

Retrieves a reusable agent by ID. See agent configuration.

ParametersExpand Collapse
agentID: string
minLength0
maxLength1048576
ReturnsExpand Collapse
Agent { id, created_at, instructions, 10 more }

A reusable agent scoped to the caller’s project.

id: string

The ID of the reusable agent.

minLength0
created_at: number

The Unix timestamp, in seconds, when the agent was created.

formatint64
instructions: string | null

Custom instructions appended to the agent’s default base instructions.

minLength0
metadata: Record<string, string>

Custom string key-value pairs attached to the agent.

model: string

The requested model name used for inference.

minLength0
multi_agent: MultiAgentConfig { enabled, max_concurrent_subagents }

The resolved configuration for creating and coordinating subagents.

name: string | null

A human-readable name for the agent, or null if it is unnamed.

minLength0
object: "agent"

The object type. Always agent.

reasoning: AgentReasoning { effort, summary }

The resolved reasoning configuration, including the model default for an omitted effort.

service_tier: "auto" | "default" | "flex" | 3 more

The resolved service-tier policy used for model requests.

text: AgentText { format, verbosity }

The resolved configuration for text generated by the agent.

tools: Array<PersistedAgentTool>

Tools available to the agent.

updated_at: number

The Unix timestamp, in seconds, when the agent was last updated.

formatint64

Retrieve an agent

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env['OPENAI_API_KEY'], // This is the default and can be omitted
});

const agent = await client.beta.agents.retrieve('agent_id');

console.log(agent.id);
{
  "id": "id",
  "created_at": 0,
  "instructions": "instructions",
  "metadata": {
    "foo": "string"
  },
  "model": "model",
  "multi_agent": {
    "enabled": true,
    "max_concurrent_subagents": 1
  },
  "name": "name",
  "object": "agent",
  "reasoning": {
    "effort": "none",
    "summary": "concise"
  },
  "service_tier": "auto",
  "text": {
    "format": {
      "type": "text"
    },
    "verbosity": "low"
  },
  "tools": [
    {
      "defer_loading": true,
      "description": "description",
      "name": "name",
      "parameters": {
        "foo": "bar"
      },
      "type": "function"
    }
  ],
  "updated_at": 0
}
Returns Examples
{
  "id": "id",
  "created_at": 0,
  "instructions": "instructions",
  "metadata": {
    "foo": "string"
  },
  "model": "model",
  "multi_agent": {
    "enabled": true,
    "max_concurrent_subagents": 1
  },
  "name": "name",
  "object": "agent",
  "reasoning": {
    "effort": "none",
    "summary": "concise"
  },
  "service_tier": "auto",
  "text": {
    "format": {
      "type": "text"
    },
    "verbosity": "low"
  },
  "tools": [
    {
      "defer_loading": true,
      "description": "description",
      "name": "name",
      "parameters": {
        "foo": "bar"
      },
      "type": "function"
    }
  ],
  "updated_at": 0
}