## Get Agent

`BetaManagedAgentsAgent beta().agents().retrieve(AgentRetrieveParamsparams = AgentRetrieveParams.none(), RequestOptionsrequestOptions = RequestOptions.none())`

**get** `/v1/agents/{agent_id}`

Get Agent

### Parameters

- `AgentRetrieveParams params`

  - `Optional<String> agentId`

  - `Optional<Long> version`

    Agent version. Omit for the most recent version. Must be at least 1 if specified.

  - `Optional<List<AnthropicBeta>> betas`

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

    - `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")`

    - `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")`

    - `THINKING_TOKEN_COUNT_2026_05_13("thinking-token-count-2026-05-13")`

### Returns

- `class BetaManagedAgentsAgent:`

  A Managed Agents `agent`.

  - `String id`

  - `Optional<LocalDateTime> archivedAt`

    A timestamp in RFC 3339 format

  - `LocalDateTime createdAt`

    A timestamp in RFC 3339 format

  - `Optional<String> description`

  - `List<BetaManagedAgentsMcpServerUrlDefinition> mcpServers`

    - `String name`

    - `Type type`

      - `URL("url")`

    - `String url`

  - `Metadata metadata`

  - `BetaManagedAgentsModelConfig model`

    Model identifier and configuration.

    - `BetaManagedAgentsModel id`

      The model that will power your agent.

      See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options.

      - `CLAUDE_OPUS_4_8("claude-opus-4-8")`

        Frontier intelligence for long-running agents and coding

      - `CLAUDE_OPUS_4_7("claude-opus-4-7")`

        Frontier intelligence for long-running agents and coding

      - `CLAUDE_OPUS_4_6("claude-opus-4-6")`

        Most intelligent model for building agents and coding

      - `CLAUDE_SONNET_4_6("claude-sonnet-4-6")`

        Best combination of speed and intelligence

      - `CLAUDE_HAIKU_4_5("claude-haiku-4-5")`

        Fastest model with near-frontier intelligence

      - `CLAUDE_HAIKU_4_5_20251001("claude-haiku-4-5-20251001")`

        Fastest model with near-frontier intelligence

      - `CLAUDE_OPUS_4_5("claude-opus-4-5")`

        Premium model combining maximum intelligence with practical performance

      - `CLAUDE_OPUS_4_5_20251101("claude-opus-4-5-20251101")`

        Premium model combining maximum intelligence with practical performance

      - `CLAUDE_SONNET_4_5("claude-sonnet-4-5")`

        High-performance model for agents and coding

      - `CLAUDE_SONNET_4_5_20250929("claude-sonnet-4-5-20250929")`

        High-performance model for agents and coding

    - `Optional<Speed> speed`

      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.

      - `STANDARD("standard")`

      - `FAST("fast")`

  - `Optional<BetaManagedAgentsMultiagent> multiagent`

    Resolved coordinator topology with a concrete agent roster.

    - `List<BetaManagedAgentsAgentReference> agents`

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

      - `String id`

      - `Type type`

        - `AGENT("agent")`

      - `long version`

    - `Type type`

      - `COORDINATOR("coordinator")`

  - `String name`

  - `List<Skill> skills`

    - `class BetaManagedAgentsAnthropicSkill:`

      A resolved Anthropic-managed skill.

      - `String skillId`

      - `Type type`

        - `ANTHROPIC("anthropic")`

      - `String version`

    - `class BetaManagedAgentsCustomSkill:`

      A resolved user-created custom skill.

      - `String skillId`

      - `Type type`

        - `CUSTOM("custom")`

      - `String version`

  - `Optional<String> system`

  - `List<Tool> tools`

    - `class BetaManagedAgentsAgentToolset20260401:`

      - `List<BetaManagedAgentsAgentToolConfig> configs`

        - `boolean enabled`

        - `Name name`

          Built-in agent tool identifier.

          - `BASH("bash")`

          - `EDIT("edit")`

          - `READ("read")`

          - `WRITE("write")`

          - `GLOB("glob")`

          - `GREP("grep")`

          - `WEB_FETCH("web_fetch")`

          - `WEB_SEARCH("web_search")`

        - `PermissionPolicy permissionPolicy`

          Permission policy for tool execution.

          - `class BetaManagedAgentsAlwaysAllowPolicy:`

            Tool calls are automatically approved without user confirmation.

            - `Type type`

              - `ALWAYS_ALLOW("always_allow")`

          - `class BetaManagedAgentsAlwaysAskPolicy:`

            Tool calls require user confirmation before execution.

            - `Type type`

              - `ALWAYS_ASK("always_ask")`

      - `BetaManagedAgentsAgentToolsetDefaultConfig defaultConfig`

        Resolved default configuration for agent tools.

        - `boolean enabled`

        - `PermissionPolicy permissionPolicy`

          Permission policy for tool execution.

          - `class BetaManagedAgentsAlwaysAllowPolicy:`

            Tool calls are automatically approved without user confirmation.

          - `class BetaManagedAgentsAlwaysAskPolicy:`

            Tool calls require user confirmation before execution.

      - `Type type`

        - `AGENT_TOOLSET_20260401("agent_toolset_20260401")`

    - `class BetaManagedAgentsMcpToolset:`

      - `List<BetaManagedAgentsMcpToolConfig> configs`

        - `boolean enabled`

        - `String name`

        - `PermissionPolicy permissionPolicy`

          Permission policy for tool execution.

          - `class BetaManagedAgentsAlwaysAllowPolicy:`

            Tool calls are automatically approved without user confirmation.

          - `class BetaManagedAgentsAlwaysAskPolicy:`

            Tool calls require user confirmation before execution.

      - `BetaManagedAgentsMcpToolsetDefaultConfig defaultConfig`

        Resolved default configuration for all tools from an MCP server.

        - `boolean enabled`

        - `PermissionPolicy permissionPolicy`

          Permission policy for tool execution.

          - `class BetaManagedAgentsAlwaysAllowPolicy:`

            Tool calls are automatically approved without user confirmation.

          - `class BetaManagedAgentsAlwaysAskPolicy:`

            Tool calls require user confirmation before execution.

      - `String mcpServerName`

      - `Type type`

        - `MCP_TOOLSET("mcp_toolset")`

    - `class BetaManagedAgentsCustomTool:`

      A custom tool as returned in API responses.

      - `String description`

      - `BetaManagedAgentsCustomToolInputSchema inputSchema`

        JSON Schema for custom tool input parameters.

        - `Optional<Properties> properties`

          JSON Schema properties defining the tool's input parameters.

        - `Optional<List<String>> required`

          List of required property names.

        - `Optional<Type> type`

          Must be 'object' for tool input schemas.

          - `OBJECT("object")`

      - `String name`

      - `Type type`

        - `CUSTOM("custom")`

  - `Type type`

    - `AGENT("agent")`

  - `LocalDateTime updatedAt`

    A timestamp in RFC 3339 format

  - `long version`

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

### Example

```java
package com.anthropic.example;

import com.anthropic.client.AnthropicClient;
import com.anthropic.client.okhttp.AnthropicOkHttpClient;
import com.anthropic.models.beta.agents.AgentRetrieveParams;
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().retrieve("agent_011CZkYpogX7uDKUyvBTophP");
    }
}
```

#### Response

```json
{
  "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-sonnet-4-6",
    "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"
          }
        }
      ],
      "default_config": {
        "enabled": true,
        "permission_policy": {
          "type": "always_ask"
        }
      },
      "type": "agent_toolset_20260401"
    }
  ],
  "type": "agent",
  "updated_at": "2026-03-15T10:00:00Z",
  "version": 1
}
```