Claude Platform Docs

Agent aktualisieren

BetaManagedAgentsAgent beta().agents().update(params = AgentUpdateParams.none(), requestOptions = RequestOptions.none())
POST/v1/agents/{agent_id}

Agent aktualisieren

Parameters
AgentUpdateParams params
Optional<String> agentId⁠Path parameter

Unique identifier of the agent to update.

Optional<List<AnthropicBeta>> betas⁠Header parameter

This endpoint is in beta: requests must send managed-agents-2026-04-01 in this header.

MESSAGE_BATCHES_2024_09_24("message-batches-2024-09-24")
PROMPT_CACHING_2024_07_31("prompt-caching-2024-07-31")
COMPUTER_USE_2024_10_22("computer-use-2024-10-22")
COMPUTER_USE_2025_01_24("computer-use-2025-01-24")
PDFS_2024_09_25("pdfs-2024-09-25")
TOKEN_COUNTING_2024_11_01("token-counting-2024-11-01")
TOKEN_EFFICIENT_TOOLS_2025_02_19("token-efficient-tools-2025-02-19")
OUTPUT_128K_2025_02_19("output-128k-2025-02-19")
FILES_API_2025_04_14("files-api-2025-04-14")
MCP_CLIENT_2025_04_04("mcp-client-2025-04-04")
MCP_CLIENT_2025_11_20("mcp-client-2025-11-20")
DEV_FULL_THINKING_2025_05_14("dev-full-thinking-2025-05-14")
INTERLEAVED_THINKING_2025_05_14("interleaved-thinking-2025-05-14")
CODE_EXECUTION_2025_05_22("code-execution-2025-05-22")
EXTENDED_CACHE_TTL_2025_04_11("extended-cache-ttl-2025-04-11")
CONTEXT_1M_2025_08_07("context-1m-2025-08-07")
CONTEXT_MANAGEMENT_2025_06_27("context-management-2025-06-27")
MODEL_CONTEXT_WINDOW_EXCEEDED_2025_08_26("model-context-window-exceeded-2025-08-26")
SKILLS_2025_10_02("skills-2025-10-02")
FAST_MODE_2026_02_01("fast-mode-2026-02-01")
OUTPUT_300K_2026_03_24("output-300k-2026-03-24")
USER_PROFILES_2026_03_24("user-profiles-2026-03-24")
USER_PROFILES_2026_08_18("user-profiles-2026-08-18")
USER_PROFILES_2026_09_04("user-profiles-2026-09-04")
ADVISOR_TOOL_2026_03_01("advisor-tool-2026-03-01")
MANAGED_AGENTS_2026_04_01("managed-agents-2026-04-01")
CACHE_DIAGNOSIS_2026_04_07("cache-diagnosis-2026-04-07")
DREAMING_2026_04_21("dreaming-2026-04-21")
THINKING_TOKEN_COUNT_2026_05_13("thinking-token-count-2026-05-13")
SERVER_SIDE_FALLBACK_2026_06_01("server-side-fallback-2026-06-01")
SERVER_SIDE_FALLBACK_2026_07_01("server-side-fallback-2026-07-01")
FALLBACK_CREDIT_2026_06_01("fallback-credit-2026-06-01")
FALLBACK_CREDIT_2026_07_01("fallback-credit-2026-07-01")
AGENT_MEMORY_2026_07_22("agent-memory-2026-07-22")
MID_CONVERSATION_TOOL_CHANGES_2026_07_01("mid-conversation-tool-changes-2026-07-01")
COMPACT_2026_01_12("compact-2026-01-12")
COMPUTER_USE_2025_11_24("computer-use-2025-11-24")
MCP_TUNNELS_2026_06_22("mcp-tunnels-2026-06-22")
STRUCTURED_OUTPUTS_2025_11_13("structured-outputs-2025-11-13")
TASK_BUDGETS_2026_03_13("task-budgets-2026-03-13")
THINKING_DISPLAY_UPDATES_2026_08_18("thinking-display-updates-2026-08-18")
CE_USER_MANAGEMENT_2026_07_13("ce-user-management-2026-07-13")
MID_CONVERSATION_OUTPUT_CONFIG_2026_07_01("mid-conversation-output-config-2026-07-01")
THINKING_BINDING_CONTROLS_2026_08_01("thinking-binding-controls-2026-08-01")
MID_CONVERSATION_SYSTEM_CLEAR_AT_2026_08_21("mid-conversation-system-clear-at-2026-08-21")
COMPACT_2026_09_04("compact-2026-09-04")
INLINE_TOOLS_2026_09_15("inline-tools-2026-09-15")
MCP_CLIENT_2026_09_15("mcp-client-2026-09-15")
CE_PLUGINS_2026_09_01("ce-plugins-2026-09-01")
SPEND_LIMIT_READS_2026_09_26("spend-limit-reads-2026-09-26")
TELEMETRY_DESTINATIONS_2026_08_11("telemetry-destinations-2026-08-11")
Optional<String> workspaceId⁠Header parameter

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.

Optional<String> description

Description. Omit to preserve; send empty string or null to clear.

maxLength2048
Optional<BetaManagedAgentsExecutionIdentityParams> executionIdentity

Execution principal for runs of this agent. Full replacement. Omit to preserve; send null or {"type": "service_account"} to restore the default.

Optional<List<BetaManagedAgentsUrlMcpServerParams>> mcpServers

MCP servers. Full replacement. Omit to preserve; send empty array or null to clear. Names must be unique. Maximum 20. Every server must be referenced by an mcp_toolset in the agent's resulting tools; unreferenced servers are rejected. See the MCP connector guide.

Type type
String name

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

minLength1
maxLength255
String url

Endpoint URL for the MCP server.

maxLength2048
Optional<Metadata> metadata

Metadata patch. Set a key to a string to upsert it, or to null to delete it. Omit the field to preserve. The stored bag is limited to 16 keys (up to 64 chars each) with values up to 512 chars.

Optional<Model> model

Model identifier. Accepts the model string, e.g. claude-opus-5-5, or a model_config object for additional configuration control. Omit to preserve. Cannot be cleared.

enum BetaManagedAgentsModel

The model that will power your agent.

See models for additional details and options.

class BetaManagedAgentsModelConfigParams { id; effort; inferenceGeo; speed; }

An object that defines additional configuration control over model use

Optional<BetaManagedAgentsMultiagentParams> multiagent

Multiagent orchestration configuration. Full replacement. Omit to preserve; send null to clear.

Optional<String> name

Human-readable name. Must be non-empty. Omit to preserve. Cannot be cleared.

maxLength256
Optional<List<BetaManagedAgentsSkillParams>> skills

Skills. Full replacement. Omit to preserve; send empty array or null to clear.

class BetaManagedAgentsAnthropicSkillParams { type; skillId; version; }

An Anthropic-managed skill.

Type type
String skillId

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

minLength1
maxLength64
Optional<String> version

Version to pin. Defaults to latest if omitted.

minLength1
maxLength64
class BetaManagedAgentsCustomSkillParams { type; skillId; version; }

A user-created custom skill.

Type type
String skillId

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

minLength1
maxLength64
Optional<String> version

Version to pin. Defaults to latest if omitted.

minLength1
maxLength64
Optional<String> system

System prompt. Omit to preserve; send empty string or null to clear.

maxLength100000
Optional<List<Tool>> tools

Tool configurations available to the agent. Full replacement. Omit to preserve; send empty array or null to clear. Maximum of 256 tools across all toolsets allowed.

class BetaManagedAgentsAgentToolset20260401Params { type; configs; defaultConfig; }

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

class BetaManagedAgentsMcpToolsetParams { type; mcpServerName; configs; defaultConfig; }

Configuration for tools from an MCP server defined in mcp_servers.

class BetaManagedAgentsCustomToolParams { type; description; inputSchema; name; }

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.

Type type
String description

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

minLength1
BetaManagedAgentsCustomToolInputSchema inputSchema

JSON Schema defining the expected input parameters for the tool.

JsonValue type = "object"
Optional<Properties> properties
Optional<List<String>> required
String name

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

minLength1
maxLength128
Optional<Long> version

The agent's current version, used to prevent concurrent overwrites. Obtain this value from a create or retrieve response. Must be at least 1 if specified. When supplied, the request fails if it does not match the server's current version; omit to apply the update unconditionally.

formatint32
Returns
class BetaManagedAgentsAgent { type; id; archivedAt; /* 13 more */ }

A Managed Agents agent.

Agent aktualisieren
package com.anthropic.example;

import com.anthropic.client.AnthropicClient;
import com.anthropic.client.okhttp.AnthropicOkHttpClient;
import com.anthropic.models.beta.agents.AgentUpdateParams;
import com.anthropic.models.beta.agents.BetaManagedAgentsAgent;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        AnthropicClient client = AnthropicOkHttpClient.fromEnv();

        BetaManagedAgentsAgent betaManagedAgentsAgent = client.beta().agents().update("agent_011CZkYpogX7uDKUyvBTophP");
    }
}
Returns Examples
Response 200
{
  "id": "agent_011CZkYpogX7uDKUyvBTophP",
  "archived_at": null,
  "created_at": "2026-03-15T10:00:00Z",
  "description": "A general-purpose starter agent.",
  "execution_identity": {
    "type": "service_account"
  },
  "mcp_servers": [
    {
      "name": "example-mcp",
      "type": "url",
      "url": "https://example-server.modelcontextprotocol.io/sse"
    }
  ],
  "metadata": {
    "foo": "bar"
  },
  "model": {
    "id": "claude-opus-5-5",
    "effort": {
      "type": "low"
    },
    "inference_geo": "inference_geo",
    "speed": "standard"
  },
  "multiagent": {
    "advisor": {
      "type": "disabled"
    },
    "subagents": {
      "inline_agents": {
        "type": "enabled"
      },
      "predefined_agents": [
        {
          "id": "agent_011CZkYqphY8vELVzwCUpqiQ",
          "type": "agent",
          "version": 1
        }
      ],
      "type": "enabled"
    },
    "type": "multiagent_20261001",
    "workflows": {
      "inline_agents": {
        "type": "enabled"
      },
      "predefined_agents": [
        {
          "id": "agent_011CZkYqphY8vELVzwCUpqiQ",
          "type": "agent",
          "version": 1
        }
      ],
      "type": "enabled"
    }
  },
  "name": "My First Agent",
  "skills": [
    {
      "skill_id": "xlsx",
      "type": "anthropic",
      "version": "1"
    },
    {
      "skill_id": "skill_011CZkZFNu9hAbo3jZPRgTmx",
      "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
}