Claude Platform Docs

Create Agent

beta.agents.create(AgentCreateParams**kwargs) -> BetaManagedAgentsAgent
POST/v1/agents

Create Agent

Parameters
model: Model

Model identifier. Accepts the model string, e.g. claude-opus-5, or a model_config object for additional configuration control

One of the following:
Union[Literal["claude-sonnet-5", "claude-fable-5", "claude-opus-5", 10 more], str]
One of the following:
Literal["claude-sonnet-5", "claude-fable-5", "claude-opus-5", 10 more]

The model that will power your agent.

See models for additional details and options.

  • claude-sonnet-5 - High-performance model for coding and agents
  • claude-fable-5 - Next generation of intelligence for the hardest knowledge work and coding problems
  • claude-opus-5 - Powerful intelligence for long-running agents and coding
  • claude-opus-4-8 - Powerful intelligence for long-running agents and coding
  • claude-opus-4-7 - Powerful intelligence for long-running agents and coding
  • claude-opus-4-6 - Powerful intelligence for long-running agents and coding
  • claude-sonnet-4-6 - Best combination of speed and intelligence
  • claude-haiku-4-5 - Fastest model with near-frontier intelligence
  • claude-haiku-4-5-20251001 - Fastest model with near-frontier intelligence
  • claude-opus-4-5 - Powerful intelligence for long-running agents and coding
  • claude-opus-4-5-20251101 - Powerful intelligence for long-running agents and coding
  • claude-sonnet-4-5 - High-performance model for agents and coding
  • claude-sonnet-4-5-20250929 - High-performance model for agents and coding
One of the following:
"claude-sonnet-5"

High-performance model for coding and agents

"claude-fable-5"

Next generation of intelligence for the hardest knowledge work and coding problems

"claude-opus-5"

Powerful intelligence for long-running agents and coding

"claude-opus-4-8"

Powerful intelligence for long-running agents and coding

"claude-opus-4-7"

Powerful intelligence for long-running agents and coding

"claude-opus-4-6"

Powerful intelligence for long-running agents and coding

"claude-sonnet-4-6"

Best combination of speed and intelligence

"claude-haiku-4-5"

Fastest model with near-frontier intelligence

"claude-haiku-4-5-20251001"

Fastest model with near-frontier intelligence

"claude-opus-4-5"

Powerful intelligence for long-running agents and coding

"claude-opus-4-5-20251101"

Powerful intelligence for long-running agents and coding

"claude-sonnet-4-5"

High-performance model for agents and coding

"claude-sonnet-4-5-20250929"

High-performance model for agents and coding

str
class BetaManagedAgentsModelConfigParams:

An object that defines additional configuration control over model use

name: str

Human-readable name for the agent.

minLength1
maxLength256
description: Optional[str]

Description of what the agent does.

maxLength2048
mcp_servers: Optional[Iterable[BetaManagedAgentsURLMCPServerParams]]

MCP servers this agent connects to. Maximum 20. Names must be unique within the array. Every server must be referenced by an mcp_toolset in tools; unreferenced servers are rejected. See the MCP connector guide.

name: str

Unique name for this server, referenced by mcp_toolset configurations. 1-255 characters.

minLength1
maxLength255
type: Literal["url"]
url: str

Endpoint URL for the MCP server.

maxLength2048
metadata: Optional[Dict[str, str]]

Arbitrary key-value metadata. Maximum 16 pairs, keys up to 64 chars, values up to 512 chars.

multiagent: Optional[BetaManagedAgentsMultiagentParams]

A coordinator topology: the session's primary thread orchestrates work by spawning session threads, each running an agent drawn from the agents roster.

skills: Optional[Iterable[BetaManagedAgentsSkillParams]]

Skills available to the agent.

One of the following:
class BetaManagedAgentsAnthropicSkillParams:

An Anthropic-managed skill.

skill_id: str

Identifier of the Anthropic skill (e.g., "xlsx").

minLength1
maxLength64
type: Literal["anthropic"]
version: Optional[str]

Version to pin. Defaults to latest if omitted.

minLength1
maxLength64
class BetaManagedAgentsCustomSkillParams:

A user-created custom skill.

skill_id: str

Tagged ID of the custom skill (e.g., "skill_01XJ5...").

minLength1
maxLength64
type: Literal["custom"]
version: Optional[str]

Version to pin. Defaults to latest if omitted.

minLength1
maxLength64
system: Optional[str]

System prompt for the agent.

maxLength100000
tools: Optional[Iterable[Tool]]

Tool configurations available to the agent. Maximum of 128 tools across all toolsets allowed.

One of the following:
class BetaManagedAgentsAgentToolset20260401Params:

Configuration for built-in agent tools. Use this to enable or disable groups of tools available to the agent.

class BetaManagedAgentsMCPToolsetParams:

Configuration for tools from an MCP server defined in mcp_servers.

class BetaManagedAgentsCustomToolParams:

A custom tool that is executed by the API client rather than the agent. When the agent calls this tool, an agent.custom_tool_use event is emitted and the session goes idle, waiting for the client to provide the result via a user.custom_tool_result event.

description: str

Description of what the tool does, shown to the agent to help it decide when to use the tool.

minLength1

JSON Schema for custom tool input parameters.

type: Literal["object"]
properties: Optional[Dict[str, object]]
required: Optional[List[str]]
name: str

Unique name for the tool. 1-128 characters; letters, digits, underscores, and hyphens.

minLength1
maxLength128
type: Literal["custom"]
betas: Optional[List[AnthropicBetaParam]]

Optional header to specify the beta version(s) you want to use.

One of the following:
str
Literal["message-batches-2024-09-24", "prompt-caching-2024-07-31", "computer-use-2024-10-22", 38 more]
One of the following:
"message-batches-2024-09-24"
"prompt-caching-2024-07-31"
"computer-use-2024-10-22"
"computer-use-2025-01-24"
"pdfs-2024-09-25"
"token-counting-2024-11-01"
"token-efficient-tools-2025-02-19"
"output-128k-2025-02-19"
"files-api-2025-04-14"
"mcp-client-2025-04-04"
"mcp-client-2025-11-20"
"dev-full-thinking-2025-05-14"
"interleaved-thinking-2025-05-14"
"code-execution-2025-05-22"
"extended-cache-ttl-2025-04-11"
"context-1m-2025-08-07"
"context-management-2025-06-27"
"model-context-window-exceeded-2025-08-26"
"skills-2025-10-02"
"fast-mode-2026-02-01"
"output-300k-2026-03-24"
"user-profiles-2026-03-24"
"user-profiles-2026-08-18"
"advisor-tool-2026-03-01"
"managed-agents-2026-04-01"
"cache-diagnosis-2026-04-07"
"dreaming-2026-04-21"
"thinking-token-count-2026-05-13"
"server-side-fallback-2026-06-01"
"server-side-fallback-2026-07-01"
"fallback-credit-2026-06-01"
"fallback-credit-2026-07-01"
"agent-memory-2026-07-22"
"mid-conversation-tool-changes-2026-07-01"
"compact-2026-01-12"
"computer-use-2025-11-24"
"mcp-tunnels-2026-06-22"
"structured-outputs-2025-11-13"
"task-budgets-2026-03-13"
"thinking-display-updates-2026-08-18"
"ce-user-management-2026-07-13"
Returns
class BetaManagedAgentsAgent:

A Managed Agents agent.

Create Agent

import os
from anthropic import Anthropic

client = Anthropic(
    api_key=os.environ.get(
        "ANTHROPIC_API_KEY"
    ),  # This is the default and can be omitted
)
beta_managed_agents_agent = client.beta.agents.create(
    model="claude-opus-5",
    name="My First Agent",
)
print(beta_managed_agents_agent.id)
{
  "id": "agent_011CZkYpogX7uDKUyvBTophP",
  "archived_at": null,
  "created_at": "2026-03-15T10:00:00Z",
  "description": "A general-purpose starter agent.",
  "mcp_servers": [
    {
      "name": "example-mcp",
      "type": "url",
      "url": "https://example-server.modelcontextprotocol.io/sse"
    }
  ],
  "metadata": {
    "foo": "bar"
  },
  "model": {
    "id": "claude-opus-5",
    "effort": {
      "type": "low"
    },
    "inference_geo": "inference_geo",
    "speed": "standard"
  },
  "multiagent": {
    "agents": [
      {
        "id": "agent_011CZkYqphY8vELVzwCUpqiQ",
        "type": "agent",
        "version": 1
      }
    ],
    "type": "coordinator"
  },
  "name": "My First Agent",
  "skills": [
    {
      "skill_id": "xlsx",
      "type": "anthropic",
      "version": "1"
    },
    {
      "skill_id": "skill_011CZkZFNu9hAbo3jZPRgTlx",
      "type": "custom",
      "version": "2"
    }
  ],
  "system": "You are a general-purpose agent that can research, write code, run commands, and use connected tools to complete the user's task end to end.",
  "tools": [
    {
      "configs": [
        {
          "enabled": true,
          "name": "bash",
          "permission_policy": {
            "type": "always_allow"
          },
          "type": "bash"
        }
      ],
      "default_config": {
        "enabled": true,
        "permission_policy": {
          "type": "always_ask"
        }
      },
      "type": "agent_toolset_20260401"
    }
  ],
  "type": "agent",
  "updated_at": "2026-03-15T10:00:00Z",
  "version": 1
}
Returns Examples
{
  "id": "agent_011CZkYpogX7uDKUyvBTophP",
  "archived_at": null,
  "created_at": "2026-03-15T10:00:00Z",
  "description": "A general-purpose starter agent.",
  "mcp_servers": [
    {
      "name": "example-mcp",
      "type": "url",
      "url": "https://example-server.modelcontextprotocol.io/sse"
    }
  ],
  "metadata": {
    "foo": "bar"
  },
  "model": {
    "id": "claude-opus-5",
    "effort": {
      "type": "low"
    },
    "inference_geo": "inference_geo",
    "speed": "standard"
  },
  "multiagent": {
    "agents": [
      {
        "id": "agent_011CZkYqphY8vELVzwCUpqiQ",
        "type": "agent",
        "version": 1
      }
    ],
    "type": "coordinator"
  },
  "name": "My First Agent",
  "skills": [
    {
      "skill_id": "xlsx",
      "type": "anthropic",
      "version": "1"
    },
    {
      "skill_id": "skill_011CZkZFNu9hAbo3jZPRgTlx",
      "type": "custom",
      "version": "2"
    }
  ],
  "system": "You are a general-purpose agent that can research, write code, run commands, and use connected tools to complete the user's task end to end.",
  "tools": [
    {
      "configs": [
        {
          "enabled": true,
          "name": "bash",
          "permission_policy": {
            "type": "always_allow"
          },
          "type": "bash"
        }
      ],
      "default_config": {
        "enabled": true,
        "permission_policy": {
          "type": "always_ask"
        }
      },
      "type": "agent_toolset_20260401"
    }
  ],
  "type": "agent",
  "updated_at": "2026-03-15T10:00:00Z",
  "version": 1
}