--- title: List Session Threads url: https://platform.claude.com/docs/en/api/python/beta/sessions/threads/list --- # List Session Threads `beta.sessions.threads.list(session_id, **kwargs) -> SyncPageCursor[BetaManagedAgentsSessionThread]` **GET** `/v1/sessions/{session_id}/threads` List Session Threads ## Parameters - `session_id: str` (path parameter) - `limit: Optional[int]` (query parameter) Maximum results per page. Defaults to 1000. format: int32 - `page: Optional[str]` (query parameter) Opaque pagination cursor from a previous response's `next_page`. Forward-only. - `statuses: Optional[List[BetaManagedAgentsSessionThreadStatus]]` (query parameter) Return only threads that have one of these statuses. Repeat the parameter to give more than one status. Leave it out to return threads of every status. - `"running"` - `"idle"` - `"rescheduling"` - `"terminated"` - `betas: Optional[List[AnthropicBetaParam]]` (header parameter) Optional header to specify the beta version(s) you want to use. - `str` - `"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"` - `"compact-2026-09-04"` - `"inline-tools-2026-09-15"` - `"mcp-client-2026-09-15"` - `"ce-plugins-2026-09-01"` - `"spend-limit-reads-2026-09-26"` - `workspace_id: Optional[str]` (header 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. ## Returns - `class BetaManagedAgentsSessionThread` An execution thread within a `session`. Each session has one primary thread plus zero or more child threads. - `type: Literal["session_thread"]` - `id: str` Unique identifier for this thread. - `agent: Agent` Resolved agent definition for this thread. Snapshot of the agent at thread creation time. - `class BetaManagedAgentsSessionThreadAgent` 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: Literal["agent"]` - `id: str` - `description: Optional[str]` - `mcp_servers: List[BetaManagedAgentsMCPServerURLDefinition]` - `type: Literal["url"]` - `name: str` - `url: str` - `model: BetaManagedAgentsModelConfig` Model identifier and configuration. - `id: BetaManagedAgentsModel` The model that will power your agent. See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options. - `"claude-haiku-5-5"` Fastest model for high-volume, real-time tasks - `"claude-sonnet-5-5"` Efficient model for coding and agents - `"claude-opus-5-5"` Powerful intelligence for coding, knowledge work, and long-running agents - `"claude-fable-5-1"` Frontier intelligence for ambitious tasks across coding, scientific discovery, and enterprise workflows - `"claude-sonnet-5"` Efficient 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"` - `"claude-haiku-4-5-20251001"` - `"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"` **Deprecated**: Will reach end-of-life on November 30, 2026. Please migrate to claude-sonnet-5-5. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. High-performance model for agents and coding - `"claude-sonnet-4-5-20250929"` **Deprecated**: Will reach end-of-life on November 30, 2026. Please migrate to claude-sonnet-5-5. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. High-performance model for agents and coding - `str` - `effort: Optional[Effort]` How hard Claude works on each inference call. One of `low`, `medium`, `high`, `xhigh`, `max`. Always present; resolved to the per-model default at save time when not supplied. - `class BetaManagedAgentsEffortLow` Low effort. Favors latency over reasoning depth. - `type: Literal["low"]` - `class BetaManagedAgentsEffortMedium` Medium effort. Balances latency and reasoning depth. - `type: Literal["medium"]` - `class BetaManagedAgentsEffortHigh` High effort. Favors reasoning depth. - `type: Literal["high"]` - `class BetaManagedAgentsEffortXhigh` Extra-high effort. Not all models accept this level. - `type: Literal["xhigh"]` - `class BetaManagedAgentsEffortMax` Maximum effort. Favors reasoning depth over latency. - `type: Literal["max"]` - `inference_geo: Optional[str]` Geographic region for model inference. When unset, requests fall through to the workspace's default_inference_geo. - `speed: Optional[Literal["standard", "fast"]]` Inference speed mode. `fast` provides significantly faster output token generation at premium pricing. Defaults to `standard`. Not all models support `fast`; invalid combinations are rejected at create time. - `"standard"` - `"fast"` - `name: str` - `skills: List[Skill]` - `class BetaManagedAgentsAnthropicSkill` A resolved Anthropic-managed skill. - `type: Literal["anthropic"]` - `skill_id: str` - `version: str` - `class BetaManagedAgentsCustomSkill` A resolved user-created custom skill. - `type: Literal["custom"]` - `skill_id: str` - `version: str` - `system: Optional[str]` - `tools: List[Tool]` - `class BetaManagedAgentsAgentToolset20260401` - `type: Literal["agent_toolset_20260401"]` - `configs: List[BetaManagedAgentsAgentToolConfig]` - `class BetaManagedAgentsBashToolConfig` Configuration for the bash tool. - `type: Literal["bash"]` - `enabled: bool` - `name: Literal["bash"]` - `permission_policy: PermissionPolicy` Permission policy for tool execution. - `class BetaManagedAgentsAlwaysAllowPolicy` Tool calls are automatically approved without user confirmation. - `type: Literal["always_allow"]` - `class BetaManagedAgentsAlwaysAskPolicy` Tool calls require user confirmation before execution. - `type: Literal["always_ask"]` - `class BetaManagedAgentsAutoPolicy` 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: Literal["auto"]` - `class BetaManagedAgentsEditToolConfig` Configuration for the edit tool. - `type: Literal["edit"]` - `enabled: bool` - `name: Literal["edit"]` - `permission_policy: 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. - `class BetaManagedAgentsAutoPolicy` 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. - `class BetaManagedAgentsReadToolConfig` Configuration for the read tool. - `type: Literal["read"]` - `enabled: bool` - `name: Literal["read"]` - `permission_policy: 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. - `class BetaManagedAgentsAutoPolicy` 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. - `class BetaManagedAgentsWriteToolConfig` Configuration for the write tool. - `type: Literal["write"]` - `enabled: bool` - `name: Literal["write"]` - `permission_policy: 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. - `class BetaManagedAgentsAutoPolicy` 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. - `class BetaManagedAgentsGlobToolConfig` Configuration for the glob tool. - `type: Literal["glob"]` - `enabled: bool` - `name: Literal["glob"]` - `permission_policy: 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. - `class BetaManagedAgentsAutoPolicy` 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. - `class BetaManagedAgentsGrepToolConfig` Configuration for the grep tool. - `type: Literal["grep"]` - `enabled: bool` - `name: Literal["grep"]` - `permission_policy: 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. - `class BetaManagedAgentsAutoPolicy` 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. - `class BetaManagedAgentsWebFetchToolConfig` Configuration for the web_fetch tool. - `type: Literal["web_fetch"]` - `enabled: bool` - `name: Literal["web_fetch"]` - `permission_policy: 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. - `class BetaManagedAgentsAutoPolicy` 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. - `url_sources: Optional[BetaManagedAgentsWebFetchURLSources]` Which sources contribute URLs the tool may fetch, always in the object form. Null when not set, which allows every source. - `client_tool_results: Optional[BetaManagedAgentsWebFetchURLSourceToolFilter]` Which custom tools' results contribute URLs that may be fetched. Null when not set, which allows every custom tool's results. - `class BetaManagedAgentsWebFetchURLSourceAll` Every URL from this source may be fetched. This is the default. - `type: Literal["all"]` - `class BetaManagedAgentsWebFetchURLSourceNone` This source contributes no URLs that may be fetched. - `type: Literal["none"]` - `class BetaManagedAgentsWebFetchURLSourceOnly` Only the named tools' results contribute URLs that may be fetched. - `type: Literal["only"]` - `tools: List[BetaManagedAgentsWebFetchURLSourceToolReference]` The tools whose results contribute. Between 1 and 128 entries, each with a different name. An empty list is rejected; use "none" to allow no tool's results. - `type: Literal["tool_reference"]` Must be "tool_reference". - `name: str` Name of the tool. Compared exactly, so upper and lower case letters are different. minLength: 1, maxLength: 128 - `class BetaManagedAgentsWebFetchURLSourceExcept` Every tool's results contribute URLs that may be fetched, except the named tools' results. - `type: Literal["except"]` - `tools: List[BetaManagedAgentsWebFetchURLSourceToolReference]` The tools whose results do not contribute. Between 1 and 128 entries, each with a different name. An empty list is rejected; use "all" to leave out no tool's results. - `type: Literal["tool_reference"]` Must be "tool_reference". - `name: str` Name of the tool. Compared exactly, so upper and lower case letters are different. minLength: 1, maxLength: 128 - `server_tool_results: Optional[BetaManagedAgentsWebFetchURLSourceToolFilter]` Which of the web_search and web_fetch tools' results contribute URLs that may be fetched. Null when not set, which allows both. - `user_input: Optional[BetaManagedAgentsWebFetchURLSourceUserInput]` Whether URLs in the text of user messages may be fetched. Null when not set, which allows them. - `class BetaManagedAgentsWebFetchURLSourceAll` Every URL from this source may be fetched. This is the default. - `class BetaManagedAgentsWebFetchURLSourceNone` This source contributes no URLs that may be fetched. - `allowed_domains: Optional[List[str]]` - `blocked_domains: Optional[List[str]]` - `max_content_tokens: Optional[int]` format: int32 - `class BetaManagedAgentsWebSearchToolConfig` Configuration for the web_search tool. - `type: Literal["web_search"]` - `enabled: bool` - `name: Literal["web_search"]` - `permission_policy: 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. - `class BetaManagedAgentsAutoPolicy` 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[List[str]]` - `blocked_domains: Optional[List[str]]` - `user_location: Optional[BetaManagedAgentsUserLocation]` Approximate user location for search result localization. - `type: Literal["approximate"]` Location precision. Only "approximate" is supported. - `city: Optional[str]` City name. minLength: 1, maxLength: 255 - `country: Optional[str]` Two-letter ISO 3166-1 country code, uppercase. - `region: Optional[str]` Region or state name. minLength: 1, maxLength: 255 - `timezone: Optional[str]` IANA timezone identifier, e.g. "America/Los_Angeles". minLength: 1, maxLength: 255 - `default_config: BetaManagedAgentsAgentToolsetDefaultConfig` Resolved default configuration for agent tools. - `enabled: bool` - `permission_policy: 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. - `class BetaManagedAgentsAutoPolicy` 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. - `class BetaManagedAgentsMCPToolset` - `type: Literal["mcp_toolset"]` - `configs: List[BetaManagedAgentsMCPToolConfig]` - `enabled: bool` - `name: str` - `permission_policy: 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. - `class BetaManagedAgentsAutoPolicy` 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: bool` - `permission_policy: 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. - `class BetaManagedAgentsAutoPolicy` 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: str` - `class BetaManagedAgentsCustomTool` A custom tool as returned in API responses. - `type: Literal["custom"]` - `description: str` - `input_schema: BetaManagedAgentsCustomToolInputSchema` JSON Schema for custom tool input parameters. - `type: Literal["object"]` - `properties: Optional[Dict[str, object]]` - `required: Optional[List[str]]` - `name: str` - `version: int` format: int32 - `class BetaManagedAgentsAdvisor` Platform advisor roster entry: a model the session's primary thread may consult mid-turn. - `type: Literal["advisor"]` - `model: str` The advisor model id. - `class BetaManagedAgentsInlineAgent` An agent that has no Agent resource, and so no `id` or `version`. It is defined inline, in a workflow run's plan or when a session thread is spawned, and is not saved. - `type: Literal["inline"]` - `description: Optional[str]` - `mcp_servers: List[BetaManagedAgentsMCPServerURLDefinition]` - `type: Literal["url"]` - `name: str` - `url: str` - `model: BetaManagedAgentsModelConfig` Model identifier and configuration. - `name: str` The name that the agent's definition gave, or one that the server assigned. - `skills: List[Skill]` - `class BetaManagedAgentsAnthropicSkill` A resolved Anthropic-managed skill. - `class BetaManagedAgentsCustomSkill` A resolved user-created custom skill. - `system: Optional[str]` - `tools: List[Tool]` - `class BetaManagedAgentsAgentToolset20260401` - `class BetaManagedAgentsMCPToolset` - `class BetaManagedAgentsCustomTool` A custom tool as returned in API responses. - `archived_at: Optional[datetime]` When the thread was archived. Null if not archived. format: date-time - `created_at: datetime` When the thread was created. format: date-time - `parent_thread_id: Optional[str]` Parent thread that spawned this thread. Null for the primary thread. - `session_id: str` The session this thread belongs to. - `stats: Optional[BetaManagedAgentsSessionThreadStats]` Timing statistics for this thread. Null until the thread's first status transition. - `active_seconds: Optional[float]` Cumulative time in seconds the thread spent actively running. Excludes idle time. format: double - `duration_seconds: Optional[float]` Elapsed time since thread creation in seconds. For archived threads, frozen at the final update. format: double - `startup_seconds: Optional[float]` Time in seconds for the thread to begin running. Zero for child threads, which start immediately. format: double - `status: BetaManagedAgentsSessionThreadStatus` Current execution status of the thread. - `"running"` - `"idle"` - `"rescheduling"` - `"terminated"` - `updated_at: datetime` When the thread was last updated. format: date-time - `usage: Optional[BetaManagedAgentsSessionThreadUsage]` Cumulative token usage for this thread. Null until the thread's first idle transition. - `active_seconds: Optional[float]` Cumulative time in seconds this thread spent in running status. Equal to `stats.active_seconds`; surfaced here so a thread's usage carries every quantity its cost is priced on. format: double - `cache_creation: Optional[BetaManagedAgentsCacheCreationUsage]` Tokens used to create prompt cache entries, broken down by cache TTL. - `ephemeral_1h_input_tokens: Optional[int]` Tokens used to create 1-hour ephemeral cache entries. format: int32 - `ephemeral_5m_input_tokens: Optional[int]` Tokens used to create 5-minute ephemeral cache entries. format: int32 - `cache_read_input_tokens: Optional[int]` Total tokens read from prompt cache. format: int32 - `input_tokens: Optional[int]` Total input tokens consumed across all turns. format: int32 - `list_cost: Optional[BetaMonetaryAmount]` Cumulative list cost of this thread across all turns, priced at public list rates. Absent until cost tracking is available for the thread. Each figure is rounded to the nearest cent independently and the session's aggregate `usage.list_cost` additionally includes session runtime, so per-thread costs do not sum exactly to the session figure; the session figure is authoritative and is what a budget is enforced against. - `amount: str` 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. - `output_tokens: Optional[int]` Total output tokens generated across all turns. format: int32 - `server_tool_use: Optional[BetaManagedAgentsServerToolUsage]` Cumulative server-executed tool usage across all turns of this thread. Absent until server-tool tracking is available for the thread. - `web_fetch_requests: Optional[int]` Number of server-executed web fetch requests. format: int32 - `web_search_requests: Optional[int]` Number of server-executed web search requests. format: int32 - `workflow_run_id: Optional[str]` Identifier of the workflow run that created the thread, or `null` for any other thread. ## Example ```python import os from anthropic import Anthropic client = Anthropic( api_key=os.environ.get( "ANTHROPIC_API_KEY" ), # This is the default and can be omitted ) page = client.beta.sessions.threads.list( session_id="sesn_011CZkZAtmR3yMPDzynEDxu7", ) page = page.data[0] print(page.id) ``` ### Response (200) ```json { "data": [ { "id": "sthr_011CZkZVWa6oJjw1rgXZpnBt", "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 } }, "workflow_run_id": null } ], "next_page": "page_MjAyNS0wNS0xNFQwMDowMDowMFo=" } ```