Claude Platform Docs

Archive Session Thread

BetaManagedAgentsSessionThread beta().sessions().threads().archive(ThreadArchiveParamsparams, RequestOptionsrequestOptions = RequestOptions.none())
POST/v1/sessions/{session_id}/threads/{thread_id}/archive

Archive Session Thread

Parameters
ThreadArchiveParams params
String sessionId
Optional<String> threadId
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")
USER_PROFILES_2026_08_18("user-profiles-2026-08-18")
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")
Returns
class BetaManagedAgentsSessionThread:

An execution thread within a session. Each session has one primary thread plus zero or more child threads spawned by the coordinator.

Archive Session Thread

package com.anthropic.example;

import com.anthropic.client.AnthropicClient;
import com.anthropic.client.okhttp.AnthropicOkHttpClient;
import com.anthropic.models.beta.sessions.threads.BetaManagedAgentsSessionThread;
import com.anthropic.models.beta.sessions.threads.ThreadArchiveParams;

public final class Main {
    private Main() {}

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

        ThreadArchiveParams params = ThreadArchiveParams.builder()
            .sessionId("sesn_011CZkZAtmR3yMPDzynEDxu7")
            .threadId("sthr_011CZkZVWa6oIjw0rgXZpnBt")
            .build();
        BetaManagedAgentsSessionThread betaManagedAgentsSessionThread = client.beta().sessions().threads().archive(params);
    }
}
{
  "id": "sthr_011CZkZVWa6oIjw0rgXZpnBt",
  "agent": {
    "id": "agent_011CZkYqphY8vELVzwCUpqiQ",
    "description": "A focused research subagent.",
    "mcp_servers": [
      {
        "name": "example-mcp",
        "type": "url",
        "url": "https://example-server.modelcontextprotocol.io/sse"
      }
    ],
    "model": {
      "id": "claude-opus-5",
      "effort": {
        "type": "low"
      },
      "inference_geo": "inference_geo",
      "speed": "standard"
    },
    "name": "Researcher",
    "skills": [
      {
        "skill_id": "xlsx",
        "type": "anthropic",
        "version": "1"
      }
    ],
    "system": "You are a research subagent that gathers and summarises sources for the coordinating agent.",
    "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",
    "version": 1
  },
  "archived_at": null,
  "created_at": "2026-03-15T10:00:00Z",
  "parent_thread_id": null,
  "session_id": "sesn_011CZkZAtmR3yMPDzynEDxu7",
  "stats": {
    "active_seconds": 0,
    "duration_seconds": 0,
    "startup_seconds": 0
  },
  "status": "idle",
  "type": "session_thread",
  "updated_at": "2026-03-15T10:00:00Z",
  "usage": {
    "active_seconds": 0,
    "cache_creation": {
      "ephemeral_1h_input_tokens": 0,
      "ephemeral_5m_input_tokens": 0
    },
    "cache_read_input_tokens": 0,
    "input_tokens": 0,
    "list_cost": {
      "amount": "2500",
      "currency": "USD"
    },
    "output_tokens": 0,
    "server_tool_use": {
      "web_fetch_requests": 0,
      "web_search_requests": 3
    }
  }
}
Returns Examples
{
  "id": "sthr_011CZkZVWa6oIjw0rgXZpnBt",
  "agent": {
    "id": "agent_011CZkYqphY8vELVzwCUpqiQ",
    "description": "A focused research subagent.",
    "mcp_servers": [
      {
        "name": "example-mcp",
        "type": "url",
        "url": "https://example-server.modelcontextprotocol.io/sse"
      }
    ],
    "model": {
      "id": "claude-opus-5",
      "effort": {
        "type": "low"
      },
      "inference_geo": "inference_geo",
      "speed": "standard"
    },
    "name": "Researcher",
    "skills": [
      {
        "skill_id": "xlsx",
        "type": "anthropic",
        "version": "1"
      }
    ],
    "system": "You are a research subagent that gathers and summarises sources for the coordinating agent.",
    "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",
    "version": 1
  },
  "archived_at": null,
  "created_at": "2026-03-15T10:00:00Z",
  "parent_thread_id": null,
  "session_id": "sesn_011CZkZAtmR3yMPDzynEDxu7",
  "stats": {
    "active_seconds": 0,
    "duration_seconds": 0,
    "startup_seconds": 0
  },
  "status": "idle",
  "type": "session_thread",
  "updated_at": "2026-03-15T10:00:00Z",
  "usage": {
    "active_seconds": 0,
    "cache_creation": {
      "ephemeral_1h_input_tokens": 0,
      "ephemeral_5m_input_tokens": 0
    },
    "cache_read_input_tokens": 0,
    "input_tokens": 0,
    "list_cost": {
      "amount": "2500",
      "currency": "USD"
    },
    "output_tokens": 0,
    "server_tool_use": {
      "web_fetch_requests": 0,
      "web_search_requests": 3
    }
  }
}