Archive Session

POST /v1/sessions/\{session_id\}/archive

Archive Session

Path parameters

session_id: string

Headers

"anthropic-beta": optional array of AnthropicBeta
Optional header to specify the beta version(s) you want to use.
- string
- "message-batches-2024-09-24" or "prompt-caching-2024-07-31" or "computer-use-2024-10-22" or 42 more
  - "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"
  - "user-profiles-2026-09-04"
  - "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"
  - "mid-conversation-output-config-2026-07-01"
  - "thinking-binding-controls-2026-08-01"
  - "mid-conversation-system-clear-at-2026-08-21"
"anthropic-workspace-id": optional string

Returns

BetaManagedAgentsSession object
A Managed Agents session.
- type: "session"
- id: string
- agent: BetaManagedAgentsSessionAgent
  Resolved agent definition for a session. Snapshot of the agent at session creation time.
  - type: "agent"
  - id: string
  - description: string or null
  - mcp_servers: array of BetaManagedAgentsMCPServerURLDefinition
    - type: "url"
    - name: string
    - url: string
  - model: BetaManagedAgentsModelConfig
    Model identifier and configuration.
    - id: BetaManagedAgentsModel
      The model that will power your agent.
      See models for additional details and options.
      - "claude-fable-5-1" or "claude-sonnet-5" or "claude-fable-5" or 11 more
        The model that will power your agent.
        See models for additional details and options.
        "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
      - string
    - 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.
      - BetaManagedAgentsEffortLow object
        Low effort. Favors latency over reasoning depth.
        type: "low"
      - BetaManagedAgentsEffortMedium object
        Medium effort. Balances latency and reasoning depth.
        type: "medium"
      - BetaManagedAgentsEffortHigh object
        High effort. Favors reasoning depth.
        type: "high"
      - BetaManagedAgentsEffortXhigh object
        Extra-high effort. Not all models accept this level.
        type: "xhigh"
      - BetaManagedAgentsEffortMax object
        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.
      - "standard"
      - "fast"
  - multiagent: BetaManagedAgentsSessionMultiagentCoordinator or null
    Resolved coordinator topology with full agent definitions for each roster member.
    - type: "coordinator"
    - agents: array of BetaManagedAgentsSessionThreadAgent or BetaManagedAgentsAdvisor
      Full agent definitions the coordinator may spawn as session threads.
      - BetaManagedAgentsSessionThreadAgent object
        Resolved agent definition for a single session_thread. Snapshot of the agent at thread creation time. The multiagent roster is not repeated here; read it from Session.agent.
        type: "agent"
        id: string
        description: string or null
        mcp_servers: array of BetaManagedAgentsMCPServerURLDefinition
        type: "url"
        name: string
        url: string
        model: BetaManagedAgentsModelConfig
        Model identifier and configuration.
        name: string
        skills: array of BetaManagedAgentsAnthropicSkill or BetaManagedAgentsCustomSkill
        BetaManagedAgentsAnthropicSkill object
        A resolved Anthropic-managed skill.
        type: "anthropic"
        skill_id: string
        version: string
        BetaManagedAgentsCustomSkill object
        A resolved user-created custom skill.
        type: "custom"
        skill_id: string
        version: string
        system: string or null
        tools: array of BetaManagedAgentsAgentToolset20260401 or BetaManagedAgentsMCPToolset or BetaManagedAgentsCustomTool
        BetaManagedAgentsAgentToolset20260401 object
        type: "agent_toolset_20260401"
        configs: array of BetaManagedAgentsAgentToolConfig
        BetaManagedAgentsBashToolConfig object
        Configuration for the bash tool.
        type: "bash"
        enabled: boolean
        name: "bash"
        permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
        Permission policy for tool execution.
        BetaManagedAgentsAlwaysAllowPolicy object
        Tool calls are automatically approved without user confirmation.
        type: "always_allow"
        BetaManagedAgentsAlwaysAskPolicy object
        Tool calls require user confirmation before execution.
        type: "always_ask"
        BetaManagedAgentsAutoPolicy object
        The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
        type: "auto"
        BetaManagedAgentsEditToolConfig object
        Configuration for the edit tool.
        type: "edit"
        enabled: boolean
        name: "edit"
        permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
        Permission policy for tool execution.
        BetaManagedAgentsAlwaysAllowPolicy object
        Tool calls are automatically approved without user confirmation.
        BetaManagedAgentsAlwaysAskPolicy object
        Tool calls require user confirmation before execution.
        BetaManagedAgentsAutoPolicy object
        The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
        BetaManagedAgentsReadToolConfig object
        Configuration for the read tool.
        type: "read"
        enabled: boolean
        name: "read"
        permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
        Permission policy for tool execution.
        BetaManagedAgentsAlwaysAllowPolicy object
        Tool calls are automatically approved without user confirmation.
        BetaManagedAgentsAlwaysAskPolicy object
        Tool calls require user confirmation before execution.
        BetaManagedAgentsAutoPolicy object
        The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
        BetaManagedAgentsWriteToolConfig object
        Configuration for the write tool.
        type: "write"
        enabled: boolean
        name: "write"
        permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
        Permission policy for tool execution.
        BetaManagedAgentsAlwaysAllowPolicy object
        Tool calls are automatically approved without user confirmation.
        BetaManagedAgentsAlwaysAskPolicy object
        Tool calls require user confirmation before execution.
        BetaManagedAgentsAutoPolicy object
        The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
        BetaManagedAgentsGlobToolConfig object
        Configuration for the glob tool.
        type: "glob"
        enabled: boolean
        name: "glob"
        permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
        Permission policy for tool execution.
        BetaManagedAgentsAlwaysAllowPolicy object
        Tool calls are automatically approved without user confirmation.
        BetaManagedAgentsAlwaysAskPolicy object
        Tool calls require user confirmation before execution.
        BetaManagedAgentsAutoPolicy object
        The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
        BetaManagedAgentsGrepToolConfig object
        Configuration for the grep tool.
        type: "grep"
        enabled: boolean
        name: "grep"
        permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
        Permission policy for tool execution.
        BetaManagedAgentsAlwaysAllowPolicy object
        Tool calls are automatically approved without user confirmation.
        BetaManagedAgentsAlwaysAskPolicy object
        Tool calls require user confirmation before execution.
        BetaManagedAgentsAutoPolicy object
        The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
        BetaManagedAgentsWebFetchToolConfig object
        Configuration for the web_fetch tool.
        type: "web_fetch"
        enabled: boolean
        name: "web_fetch"
        permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
        Permission policy for tool execution.
        BetaManagedAgentsAlwaysAllowPolicy object
        Tool calls are automatically approved without user confirmation.
        BetaManagedAgentsAlwaysAskPolicy object
        Tool calls require user confirmation before execution.
        BetaManagedAgentsAutoPolicy object
        The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
        allowed_domains: optional array of string
        blocked_domains: optional array of string
        max_content_tokens: optional number or null
        format: int32
        BetaManagedAgentsWebSearchToolConfig object
        Configuration for the web_search tool.
        type: "web_search"
        enabled: boolean
        name: "web_search"
        permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
        Permission policy for tool execution.
        BetaManagedAgentsAlwaysAllowPolicy object
        Tool calls are automatically approved without user confirmation.
        BetaManagedAgentsAlwaysAskPolicy object
        Tool calls require user confirmation before execution.
        BetaManagedAgentsAutoPolicy object
        The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
        allowed_domains: optional array of string
        blocked_domains: optional array of string
        user_location: optional BetaManagedAgentsUserLocation or null
        Approximate user location for search result localization.
        type: "approximate"
        Location precision. Only "approximate" is supported.
        city: optional string or null
        City name.
        minLength: 1, maxLength: 255
        country: optional string or null
        Two-letter ISO 3166-1 country code, uppercase.
        region: optional string or null
        Region or state name.
        minLength: 1, maxLength: 255
        timezone: optional string or null
        IANA timezone identifier, e.g. "America/Los_Angeles".
        minLength: 1, maxLength: 255
        default_config: BetaManagedAgentsAgentToolsetDefaultConfig
        Resolved default configuration for agent tools.
        enabled: boolean
        permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
        Permission policy for tool execution.
        BetaManagedAgentsAlwaysAllowPolicy object
        Tool calls are automatically approved without user confirmation.
        BetaManagedAgentsAlwaysAskPolicy object
        Tool calls require user confirmation before execution.
        BetaManagedAgentsAutoPolicy object
        The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
        BetaManagedAgentsMCPToolset object
        type: "mcp_toolset"
        configs: array of BetaManagedAgentsMCPToolConfig
        enabled: boolean
        name: string
        permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
        Permission policy for tool execution.
        BetaManagedAgentsAlwaysAllowPolicy object
        Tool calls are automatically approved without user confirmation.
        BetaManagedAgentsAlwaysAskPolicy object
        Tool calls require user confirmation before execution.
        BetaManagedAgentsAutoPolicy object
        The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
        default_config: BetaManagedAgentsMCPToolsetDefaultConfig
        Resolved default configuration for all tools from an MCP server.
        enabled: boolean
        permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy or BetaManagedAgentsAutoPolicy
        Permission policy for tool execution.
        BetaManagedAgentsAlwaysAllowPolicy object
        Tool calls are automatically approved without user confirmation.
        BetaManagedAgentsAlwaysAskPolicy object
        Tool calls require user confirmation before execution.
        BetaManagedAgentsAutoPolicy object
        The server decides each tool call individually: it judges, from the tool, its input, and the session content so far, whether the call is safe to execute or high-risk, and evaluates it to allow when judged safe and to deny when judged high-risk. A call the server cannot reach a judgement on evaluates to ask.
        mcp_server_name: string
        BetaManagedAgentsCustomTool object
        A custom tool as returned in API responses.
        type: "custom"
        description: string
        input_schema: BetaManagedAgentsCustomToolInputSchema
        JSON Schema for custom tool input parameters.
        type: "object"
        properties: optional map[unknown] or null
        required: optional array of string or null
        name: string
        version: number
        format: int32
      - BetaManagedAgentsAdvisor object
        Platform advisor roster entry: a model the session's primary thread may consult mid-turn.
        type: "advisor"
        model: string
        The advisor model id.
  - name: string
  - skills: array of BetaManagedAgentsAnthropicSkill or BetaManagedAgentsCustomSkill
    - BetaManagedAgentsAnthropicSkill object
      A resolved Anthropic-managed skill.
    - BetaManagedAgentsCustomSkill object
      A resolved user-created custom skill.
  - system: string or null
  - tools: array of BetaManagedAgentsAgentToolset20260401 or BetaManagedAgentsMCPToolset or BetaManagedAgentsCustomTool
    - BetaManagedAgentsAgentToolset20260401 object
    - BetaManagedAgentsMCPToolset object
    - BetaManagedAgentsCustomTool object
      A custom tool as returned in API responses.
  - version: number
    format: int32
- archived_at: string or null
  A timestamp in RFC 3339 format
  format: date-time
- budget: BetaManagedAgentsBudgetLimit or null
  A hard spend ceiling. The session stops issuing new model requests once the tracked list cost reaches max_list_cost.
  - type: "limit"
  - max_list_cost: BetaMonetaryAmount
    A monetary amount in a specific currency.
    - amount: string
      Amount in minor units of the currency, as an integer decimal string with no leading zeros: "2500" is $25.00 and "50" is fifty cents. A string rather than a number so no float rounding is ever applied.
    - currency: BetaCurrency
      Uppercase ISO-4217 currency code. USD is the only currency currently supported; the accepted set is closed and grows only when a new currency is priced.
- created_at: string
  A timestamp in RFC 3339 format
  format: date-time
- environment_id: string
- metadata: map[string]
- outcome_evaluations: array of BetaManagedAgentsOutcomeEvaluationResource
  Per-outcome evaluation state. One entry per define_outcome event sent to the session.
  - type: "outcome_evaluation"
  - completed_at: string or null
    A timestamp in RFC 3339 format
    format: date-time
  - description: string
    What the agent should produce.
  - explanation: string or null
    Grader's verdict text from the most recent evaluation. For satisfied, explains why criteria are met; for needs_revision (intermediate), what's missing; for failed, why unrecoverable.
  - iteration: number
    0-indexed revision cycle the outcome is currently on.
    format: int32
  - outcome_id: string
    Server-generated outc_ ID for this outcome.
  - result: string
    Current evaluation state. pending before the agent begins work; running while producing or revising; evaluating while the grader scores; satisfied/max_iterations_reached/failed/interrupted are terminal.
- resources: array of BetaManagedAgentsSessionResource
  - BetaManagedAgentsGitHubRepositoryResource object
    - type: "github_repository"
    - id: string
    - created_at: string
      A timestamp in RFC 3339 format
      format: date-time
    - mount_path: string
    - updated_at: string
      A timestamp in RFC 3339 format
      format: date-time
    - url: string
    - checkout: optional BetaManagedAgentsBranchCheckout or BetaManagedAgentsCommitCheckout or null
      - BetaManagedAgentsBranchCheckout object
        type: "branch"
        name: string
        Branch name to check out.
        minLength: 1, maxLength: 255
      - BetaManagedAgentsCommitCheckout object
        type: "commit"
        sha: string
        Full commit SHA to check out.
        minLength: 7, maxLength: 64
  - BetaManagedAgentsFileResource object
    - type: "file"
    - id: string
    - created_at: string
      A timestamp in RFC 3339 format
      format: date-time
    - file_id: string
    - mount_path: string
    - updated_at: string
      A timestamp in RFC 3339 format
      format: date-time
  - BetaManagedAgentsMemoryStoreResource object
    A memory store attached to an agent session.
    - type: "memory_store"
    - memory_store_id: string
      The memory store ID (memstore_...). Must belong to the caller's organization and workspace.
    - access: optional "read_write" or "read_only" or null
      Access mode for an attached memory store.
      - "read_write"
      - "read_only"
    - description: optional string
      Description of the memory store, snapshotted at attach time. Rendered into the agent's system prompt. Empty string when the store has no description.
    - instructions: optional string or null
      Per-attachment guidance for the agent on how to use this store. Rendered into the memory section of the system prompt. Max 4096 chars.
      maxLength: 4096
    - mount_path: optional string or null
      Filesystem path where the store is mounted in the session container, e.g. /mnt/memory/user-preferences. Derived from the store's name. Output-only.
    - name: optional string or null
      Display name of the memory store, snapshotted at attach time. Later edits to the store's name do not propagate to this resource.
- stats: BetaManagedAgentsSessionStats
  Timing statistics for a session.
  - active_seconds: optional number
    Cumulative time in seconds the session spent in running status. Excludes idle time.
    format: double
  - duration_seconds: optional number
    Elapsed time since session creation in seconds. For terminated sessions, frozen at the final update.
    format: double
- status: "rescheduling" or "running" or "idle" or "terminated"
  SessionStatus enum
  - "rescheduling"
  - "running"
  - "idle"
  - "terminated"
- title: string or null
- updated_at: string
  A timestamp in RFC 3339 format
  format: date-time
- usage: BetaManagedAgentsSessionUsage
  Cumulative token usage for a session across all turns.
  - active_seconds: optional number
    Cumulative time in seconds during which the session had at least one thread in running status. Overlapping activity from concurrent threads is counted once, unlike stats.active_seconds, which sums each thread's own active time. This is the duration the session's runtime cost is priced on.
    format: double
  - cache_creation: optional BetaManagedAgentsCacheCreationUsage
    Prompt-cache creation token usage broken down by cache lifetime.
    - ephemeral_1h_input_tokens: optional number
      Tokens used to create 1-hour ephemeral cache entries.
      format: int32
    - ephemeral_5m_input_tokens: optional number
      Tokens used to create 5-minute ephemeral cache entries.
      format: int32
  - cache_read_input_tokens: optional number
    Total tokens read from prompt cache.
    format: int32
  - input_tokens: optional number
    Total input tokens consumed across all turns.
    format: int32
  - list_cost: optional BetaMonetaryAmount or null
    A monetary amount in a specific currency.
  - output_tokens: optional number
    Total output tokens generated across all turns.
    format: int32
  - server_tool_use: optional BetaManagedAgentsServerToolUsage or null
    Cumulative count of server-executed tool invocations, broken down by tool.
    - web_fetch_requests: optional number
      Number of server-executed web fetch requests.
      format: int32
    - web_search_requests: optional number
      Number of server-executed web search requests.
      format: int32
- vault_ids: array of string
  Vault IDs attached to the session at creation. Empty when no vaults were supplied.
- deployment_id: optional string or null
  Deployment ID when the session was created from a deployment reference. Null otherwise.

Example

bash

curl https://api.anthropic.com/v1/sessions/$SESSION_ID/archive \
    -X POST \
    -H 'anthropic-version: 2023-06-01' \
    -H 'anthropic-beta: managed-agents-2026-04-01' \
    -H "X-Api-Key: $ANTHROPIC_API_KEY"

Response (200)

json

{
  "id": "sesn_011CZkZAtmR3yMPDzynEDxu7",
  "agent": {
    "id": "agent_011CZkYpogX7uDKUyvBTophP",
    "description": "A general-purpose starter agent.",
    "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"
    },
    "multiagent": {
      "agents": [
        {
          "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
        }
      ],
      "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",
    "version": 1
  },
  "archived_at": null,
  "budget": {
    "max_list_cost": {
      "amount": "2500",
      "currency": "USD"
    },
    "type": "limit"
  },
  "created_at": "2026-03-15T10:00:00Z",
  "environment_id": "env_011CZkZ9X2dpNyB7HsEFoRfW",
  "metadata": {},
  "outcome_evaluations": [
    {
      "completed_at": "2026-03-15T10:02:31Z",
      "description": "Produce a 2-page summary as summary.md",
      "explanation": "All five sections present with inline citations.",
      "iteration": 0,
      "outcome_id": "outc_011CZkZRSw2kEfs6ncTVljxP",
      "result": "satisfied",
      "type": "outcome_evaluation"
    }
  ],
  "resources": [
    {
      "id": "sesrsc_011CZkZBJq5dWxk9fVLNcPht",
      "created_at": "2026-03-15T10:00:00Z",
      "file_id": "file_011CNha8iCJcU1wXNR6q4V8w",
      "mount_path": "/uploads/receipt.pdf",
      "type": "file",
      "updated_at": "2026-03-15T10:00:00Z"
    },
    {
      "id": "sesrsc_011CZkZCKr6eXyl0gWMOdQiu",
      "created_at": "2026-03-15T10:00:00Z",
      "mount_path": "/workspace/example-repo",
      "type": "github_repository",
      "updated_at": "2026-03-15T10:00:00Z",
      "url": "https://github.com/example-org/example-repo",
      "checkout": {
        "name": "main",
        "type": "branch"
      }
    }
  ],
  "stats": {
    "active_seconds": 0,
    "duration_seconds": 0
  },
  "status": "idle",
  "title": "Order #1234 inquiry",
  "type": "session",
  "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
    }
  },
  "vault_ids": [
    "vlt_011CZkZDLs7fYzm1hXNPeRjv"
  ],
  "deployment_id": "deployment_id"
}

Docs home

Messages

Managed Agents

Admin

Best practices

Models & pricing

CLI, SDKs, and libraries

API reference

Claude API skill

Release notes

API Reference

Other pages

models

use-case-guides

tool-use

beta

messages

batches

organization

federation

sessions

events

threads

vaults

compliance

activities

messages

batches

prompt-engineering

wif-providers

fable-5-1

opus-5

system-prompts

Archive Session

Path parameters

Headers

Returns

Example

Response (200)

messages

batches

organization

federation

sessions

events

threads

vaults

activities

batches

Archive Session ​

Path parameters ​

Headers ​

Returns ​

Example ​

Response (200) ​

Archive Session

Path parameters

Headers

Returns

Example

Response (200)