List Agent Versions

$ ant beta:agents:versions list

GET/v1/agents/{agent_id}/versions

List Agent Versions

Parameters

--agent-id: string

Path param: Path parameter agent_id

--limit: optional number

Query param: Maximum results per page. Default 20, maximum 100.

formatint32

--page: optional string

Query param: Opaque pagination cursor.

--beta: optional array of AnthropicBeta

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

--workspace-id: optional string

Header param: Optional header to select the Workspace for this request. The value is a Workspace ID (for example, wrkspc_011CZkZaBF1tNoB5wlCeusgy).

Only needed for credentials that can act on more than one Workspace. A credential that belongs to a specific Workspace may omit it; if sent, it must match that Workspace.

Returns

BetaManagedAgentsListAgentVersions: object{ data, next_page }

Paginated list of agent versions.

data: array of BetaManagedAgentsAgent { type: "agent", id, archived_at, 12 more }

Agent versions.

type: "agent"

id: string

archived_at: string

A timestamp in RFC 3339 format

formatdate-time

created_at: string

A timestamp in RFC 3339 format

formatdate-time

description: string

mcp_servers: array of BetaManagedAgentsMCPServerURLDefinition { type: "url", name, url }

type: "url"

url: string

metadata: map[string]

model: object{ id, effort, inference_geo, speed }

Model identifier and configuration.

id: "claude-fable-5-1" or "claude-sonnet-5" or "claude-fable-5" or 11 more or string

The model that will power your agent.

See models for additional details and options.

One of the following:

"claude-fable-5-1"

Frontier intelligence for ambitious tasks across coding, scientific discovery, and enterprise workflows

"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

effort: optional BetaManagedAgentsEffortLow or BetaManagedAgentsEffortMedium or BetaManagedAgentsEffortHigh or 2 more

How hard Claude works on each turn. Sets output_config.effort on every Messages call the session makes.

One of the following:

beta_managed_agents_effort_low: object{ type: "low" }

Low effort. Favors latency over reasoning depth.

type: "low"

beta_managed_agents_effort_medium: object{ type: "medium" }

Medium effort. Balances latency and reasoning depth.

type: "medium"

beta_managed_agents_effort_high: object{ type: "high" }

High effort. Favors reasoning depth.

type: "high"

beta_managed_agents_effort_xhigh: object{ type: "xhigh" }

Extra-high effort. Not all models accept this level.

type: "xhigh"

beta_managed_agents_effort_max: object{ type: "max" }

Maximum effort. Favors reasoning depth over latency.

type: "max"

inference_geo: optional string

Geographic region for model inference. When unset, requests fall through to the workspace's default_inference_geo.

speed: optional "standard" or "fast"

Inference speed mode. fast provides significantly faster output token generation at premium pricing. Not all models support fast; invalid combinations are rejected at create time.

One of the following:

"standard"

"fast"

multiagent: object{ type: "coordinator", agents }

Resolved coordinator topology with a concrete agent roster.

type: "coordinator"

agents: array of BetaManagedAgentsAgentReference or BetaManagedAgentsAdvisor

Agents the coordinator may spawn as session threads, each resolved to a specific version.

One of the following:

beta_managed_agents_agent_reference: object{ type: "agent", id, version }

A resolved agent reference with a concrete version.

type: "agent"

id: string

version: number

formatint32

beta_managed_agents_advisor: object{ type: "advisor", model }

Platform advisor roster entry: a model the session's primary thread may consult mid-turn.

type: "advisor"

model: string

The advisor model id.

skills: array of BetaManagedAgentsAnthropicSkill or BetaManagedAgentsCustomSkill

One of the following:

beta_managed_agents_anthropic_skill: object{ type: "anthropic", skill_id, version }

A resolved Anthropic-managed skill.

type: "anthropic"

skill_id: string

version: string

beta_managed_agents_custom_skill: object{ type: "custom", skill_id, version }

A resolved user-created custom skill.

type: "custom"

skill_id: string

version: string

system: string

tools: array of BetaManagedAgentsAgentToolset20260401 or BetaManagedAgentsMCPToolset or BetaManagedAgentsCustomTool

One of the following:

beta_managed_agents_agent_toolset20260401: object{ type: "agent_toolset_20260401", configs, default_config }

beta_managed_agents_mcp_toolset: object{ type: "mcp_toolset", configs, default_config, mcp_server_name }

beta_managed_agents_custom_tool: object{ type: "custom", description, input_schema, name }

A custom tool as returned in API responses.

type: "custom"

description: string

input_schema: object{ type: "object", properties, required }

JSON Schema for custom tool input parameters.

type: "object"

properties: optional map[unknown]

required: optional array of string

updated_at: string

A timestamp in RFC 3339 format

formatdate-time

version: number

The agent's current version. Starts at 1 and increments when the agent is modified.

formatint32

next_page: optional string

Opaque cursor for the next page. Null when no more results.

List Agent Versions

ant beta:agents:versions list \
  --api-key my-anthropic-api-key \
  --agent-id agent_011CZkYpogX7uDKUyvBTophP

Response 200

{
  "data": [
    {
      "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
    }
  ],
  "next_page": "next_page"
}

Returns Examples

Response 200

{
  "data": [
    {
      "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
    }
  ],
  "next_page": "next_page"
}