## List Sessions

`$ ant beta:sessions list`

**get** `/v1/sessions`

List Sessions

### Parameters

- `--agent-id: optional string`

  Query param: Filter sessions created with this agent ID.

- `--agent-version: optional number`

  Query param: Filter by agent version. Only applies when agent_id is also set.

- `--created-at-gt: optional string`

  Query param: Return sessions created after this time (exclusive).

- `--created-at-gte: optional string`

  Query param: Return sessions created at or after this time (inclusive).

- `--created-at-lt: optional string`

  Query param: Return sessions created before this time (exclusive).

- `--created-at-lte: optional string`

  Query param: Return sessions created at or before this time (inclusive).

- `--deployment-id: optional string`

  Query param: Filter sessions created by this deployment ID.

- `--include-archived: optional boolean`

  Query param: When true, includes archived sessions. Default: false (exclude archived).

- `--limit: optional number`

  Query param: Maximum number of results to return.

- `--memory-store-id: optional string`

  Query param: Filter sessions whose resources contain a memory_store with this memory store ID.

- `--order: optional "asc" or "desc"`

  Query param: Sort direction for results, ordered by created_at. Defaults to desc (newest first).

- `--page: optional string`

  Query param: Opaque pagination cursor from a previous response.

- `--status: optional array of "rescheduling" or "running" or "idle" or "terminated"`

  Query param: Filter by session status. Repeat the parameter to match any of multiple statuses.

- `--beta: optional array of AnthropicBeta`

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

### Returns

- `BetaManagedAgentsListSessions: object { data, next_page }`

  Paginated list of sessions.

  - `data: optional array of BetaManagedAgentsSession`

    List of sessions.

    - `id: string`

    - `agent: object { id, description, mcp_servers, 8 more }`

      Resolved `agent` definition for a `session`. Snapshot of the `agent` at `session` creation time.

      - `id: string`

      - `description: string`

      - `mcp_servers: array of BetaManagedAgentsMCPServerURLDefinition`

        - `name: string`

        - `type: "url"`

          - `"url"`

        - `url: string`

      - `model: object { id, speed }`

        Model identifier and configuration.

        - `id: "claude-fable-5" or "claude-opus-4-8" or "claude-opus-4-7" or 8 more or string`

          The model that will power your agent.

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

          - `"claude-fable-5"`

            Next generation of intelligence for the hardest knowledge work and coding problems

          - `"claude-opus-4-8"`

            Frontier intelligence for long-running agents and coding

          - `"claude-opus-4-7"`

            Frontier intelligence for long-running agents and coding

          - `"claude-opus-4-6"`

            Most intelligent model for building 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"`

            Premium model combining maximum intelligence with practical performance

          - `"claude-opus-4-5-20251101"`

            Premium model combining maximum intelligence with practical performance

          - `"claude-sonnet-4-5"`

            High-performance model for agents and coding

          - `"claude-sonnet-4-5-20250929"`

            High-performance model for agents and coding

        - `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: object { agents, type }`

        Resolved coordinator topology with full agent definitions for each roster member.

        - `agents: array of BetaManagedAgentsSessionThreadAgent`

          Full `agent` definitions the coordinator may spawn as session threads.

          - `id: string`

          - `description: string`

          - `mcp_servers: array of BetaManagedAgentsMCPServerURLDefinition`

            - `name: string`

            - `type: "url"`

            - `url: string`

          - `model: object { id, speed }`

            Model identifier and configuration.

            - `id: "claude-fable-5" or "claude-opus-4-8" or "claude-opus-4-7" or 8 more or string`

              The model that will power your agent.

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

            - `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.

          - `name: string`

          - `skills: array of BetaManagedAgentsAnthropicSkill or BetaManagedAgentsCustomSkill`

            - `beta_managed_agents_anthropic_skill: object { skill_id, type, version }`

              A resolved Anthropic-managed skill.

              - `skill_id: string`

              - `type: "anthropic"`

                - `"anthropic"`

              - `version: string`

            - `beta_managed_agents_custom_skill: object { skill_id, type, version }`

              A resolved user-created custom skill.

              - `skill_id: string`

              - `type: "custom"`

                - `"custom"`

              - `version: string`

          - `system: string`

          - `tools: array of BetaManagedAgentsAgentToolset20260401 or BetaManagedAgentsMCPToolset or BetaManagedAgentsCustomTool`

            - `beta_managed_agents_agent_toolset20260401: object { configs, default_config, type }`

              - `configs: array of BetaManagedAgentsAgentToolConfig`

                - `enabled: boolean`

                - `name: "bash" or "edit" or "read" or 5 more`

                  Built-in agent tool identifier.

                  - `"bash"`

                  - `"edit"`

                  - `"read"`

                  - `"write"`

                  - `"glob"`

                  - `"grep"`

                  - `"web_fetch"`

                  - `"web_search"`

                - `permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy`

                  Permission policy for tool execution.

                  - `beta_managed_agents_always_allow_policy: object { type }`

                    Tool calls are automatically approved without user confirmation.

                    - `type: "always_allow"`

                      - `"always_allow"`

                  - `beta_managed_agents_always_ask_policy: object { type }`

                    Tool calls require user confirmation before execution.

                    - `type: "always_ask"`

                      - `"always_ask"`

              - `default_config: object { enabled, permission_policy }`

                Resolved default configuration for agent tools.

                - `enabled: boolean`

                - `permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy`

                  Permission policy for tool execution.

                  - `beta_managed_agents_always_allow_policy: object { type }`

                    Tool calls are automatically approved without user confirmation.

                  - `beta_managed_agents_always_ask_policy: object { type }`

                    Tool calls require user confirmation before execution.

              - `type: "agent_toolset_20260401"`

                - `"agent_toolset_20260401"`

            - `beta_managed_agents_mcp_toolset: object { configs, default_config, mcp_server_name, type }`

              - `configs: array of BetaManagedAgentsMCPToolConfig`

                - `enabled: boolean`

                - `name: string`

                - `permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy`

                  Permission policy for tool execution.

                  - `beta_managed_agents_always_allow_policy: object { type }`

                    Tool calls are automatically approved without user confirmation.

                  - `beta_managed_agents_always_ask_policy: object { type }`

                    Tool calls require user confirmation before execution.

              - `default_config: object { enabled, permission_policy }`

                Resolved default configuration for all tools from an MCP server.

                - `enabled: boolean`

                - `permission_policy: BetaManagedAgentsAlwaysAllowPolicy or BetaManagedAgentsAlwaysAskPolicy`

                  Permission policy for tool execution.

                  - `beta_managed_agents_always_allow_policy: object { type }`

                    Tool calls are automatically approved without user confirmation.

                  - `beta_managed_agents_always_ask_policy: object { type }`

                    Tool calls require user confirmation before execution.

              - `mcp_server_name: string`

              - `type: "mcp_toolset"`

                - `"mcp_toolset"`

            - `beta_managed_agents_custom_tool: object { description, input_schema, name, type }`

              A custom tool as returned in API responses.

              - `description: string`

              - `input_schema: object { type, properties, required }`

                JSON Schema for custom tool input parameters.

                - `type: "object"`

                - `properties: optional map[unknown]`

                - `required: optional array of string`

              - `name: string`

              - `type: "custom"`

                - `"custom"`

          - `type: "agent"`

            - `"agent"`

          - `version: number`

        - `type: "coordinator"`

          - `"coordinator"`

      - `name: string`

      - `skills: array of BetaManagedAgentsAnthropicSkill or BetaManagedAgentsCustomSkill`

        - `beta_managed_agents_anthropic_skill: object { skill_id, type, version }`

          A resolved Anthropic-managed skill.

        - `beta_managed_agents_custom_skill: object { skill_id, type, version }`

          A resolved user-created custom skill.

      - `system: string`

      - `tools: array of BetaManagedAgentsAgentToolset20260401 or BetaManagedAgentsMCPToolset or BetaManagedAgentsCustomTool`

        - `beta_managed_agents_agent_toolset20260401: object { configs, default_config, type }`

        - `beta_managed_agents_mcp_toolset: object { configs, default_config, mcp_server_name, type }`

        - `beta_managed_agents_custom_tool: object { description, input_schema, name, type }`

          A custom tool as returned in API responses.

      - `type: "agent"`

        - `"agent"`

      - `version: number`

    - `archived_at: string`

      A timestamp in RFC 3339 format

    - `created_at: string`

      A timestamp in RFC 3339 format

    - `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.

      - `completed_at: string`

        A timestamp in RFC 3339 format

      - `description: string`

        What the agent should produce.

      - `explanation: string`

        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.

      - `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.

      - `type: "outcome_evaluation"`

        - `"outcome_evaluation"`

    - `resources: array of BetaManagedAgentsSessionResource`

      - `beta_managed_agents_github_repository_resource: object { id, created_at, mount_path, 4 more }`

        - `id: string`

        - `created_at: string`

          A timestamp in RFC 3339 format

        - `mount_path: string`

        - `type: "github_repository"`

          - `"github_repository"`

        - `updated_at: string`

          A timestamp in RFC 3339 format

        - `url: string`

        - `checkout: optional BetaManagedAgentsBranchCheckout or BetaManagedAgentsCommitCheckout`

          - `beta_managed_agents_branch_checkout: object { name, type }`

            - `name: string`

              Branch name to check out.

            - `type: "branch"`

              - `"branch"`

          - `beta_managed_agents_commit_checkout: object { sha, type }`

            - `sha: string`

              Full commit SHA to check out.

            - `type: "commit"`

              - `"commit"`

      - `beta_managed_agents_file_resource: object { id, created_at, file_id, 3 more }`

        - `id: string`

        - `created_at: string`

          A timestamp in RFC 3339 format

        - `file_id: string`

        - `mount_path: string`

        - `type: "file"`

          - `"file"`

        - `updated_at: string`

          A timestamp in RFC 3339 format

      - `beta_managed_agents_memory_store_resource: object { memory_store_id, type, access, 4 more }`

        A memory store attached to an agent session.

        - `memory_store_id: string`

          The memory store ID (memstore_...). Must belong to the caller's organization and workspace.

        - `type: "memory_store"`

          - `"memory_store"`

        - `access: optional "read_write" or "read_only"`

          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`

          Per-attachment guidance for the agent on how to use this store. Rendered into the memory section of the system prompt. Max 4096 chars.

        - `mount_path: optional string`

          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`

          Display name of the memory store, snapshotted at attach time. Later edits to the store's name do not propagate to this resource.

    - `stats: object { active_seconds, duration_seconds }`

      Timing statistics for a session.

      - `active_seconds: optional number`

        Cumulative time in seconds the session spent in running status. Excludes idle time.

      - `duration_seconds: optional number`

        Elapsed time since session creation in seconds. For terminated sessions, frozen at the final update.

    - `status: "rescheduling" or "running" or "idle" or "terminated"`

      SessionStatus enum

      - `"rescheduling"`

      - `"running"`

      - `"idle"`

      - `"terminated"`

    - `title: string`

    - `type: "session"`

      - `"session"`

    - `updated_at: string`

      A timestamp in RFC 3339 format

    - `usage: object { cache_creation, cache_read_input_tokens, input_tokens, output_tokens }`

      Cumulative token usage for a session across all turns.

      - `cache_creation: optional object { ephemeral_1h_input_tokens, ephemeral_5m_input_tokens }`

        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.

        - `ephemeral_5m_input_tokens: optional number`

          Tokens used to create 5-minute ephemeral cache entries.

      - `cache_read_input_tokens: optional number`

        Total tokens read from prompt cache.

      - `input_tokens: optional number`

        Total input tokens consumed across all turns.

      - `output_tokens: optional number`

        Total output tokens generated across all turns.

    - `vault_ids: array of string`

      Vault IDs attached to the session at creation. Empty when no vaults were supplied.

    - `deployment_id: optional string`

      Deployment ID when the session was created from a deployment reference. Null otherwise.

  - `next_page: optional string`

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

### Example

```cli
ant beta:sessions list \
  --api-key my-anthropic-api-key
```

#### Response

```json
{
  "data": [
    {
      "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-sonnet-4-6",
          "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-sonnet-4-6",
                "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"
                      }
                    }
                  ],
                  "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"
                }
              }
            ],
            "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",
      "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": {
        "cache_creation": {
          "ephemeral_1h_input_tokens": 0,
          "ephemeral_5m_input_tokens": 0
        },
        "cache_read_input_tokens": 0,
        "input_tokens": 0,
        "output_tokens": 0
      },
      "vault_ids": [
        "vlt_011CZkZDLs7fYzm1hXNPeRjv"
      ],
      "deployment_id": "deployment_id"
    }
  ],
  "next_page": "page_MjAyNS0wNS0xNFQwMDowMDowMFo="
}
```
