--- title: Get Session url: https://platform.claude.com/docs/en/api/python/beta/sessions/retrieve --- # Get Session `beta.sessions.retrieve(session_id, **kwargs) -> BetaManagedAgentsSession` **GET** `/v1/sessions/{session_id}` Get Session ## Parameters - `session_id: str` (path parameter) - `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 BetaManagedAgentsSession` A Managed Agents `session`. - `type: Literal["session"]` - `id: str` - `agent: BetaManagedAgentsSessionAgent` Resolved `agent` definition for a `session`. Snapshot of the `agent` at `session` creation time. - `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"` - `multiagent: Optional[BetaManagedAgentsSessionMultiagent]` Resolved multiagent orchestration configuration. Null when the agent is single-threaded. - `class BetaManagedAgentsSessionMultiagentCoordinator` Resolved coordinator topology with full agent definitions for each roster member. - `type: Literal["coordinator"]` - `agents: List[Agent]` Full `agent` definitions the coordinator may spawn as session threads. - `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. - `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 BetaManagedAgentsSessionMultiagent20261001` Resolved multiagent configuration with three members, as copied to the `session` at creation. - `type: Literal["multiagent_20261001"]` - `advisor: BetaManagedAgentsMultiagentAdvisor` Whether the session's primary thread can consult an advisor model. - `class BetaManagedAgentsMultiagentAdvisorEnabled` The session's primary thread can consult `model` mid-turn. - `type: Literal["enabled"]` - `model: str` The advisor model id. - `class BetaManagedAgentsMultiagentAdvisorDisabled` The agent has no advisor. - `type: Literal["disabled"]` - `subagents: BetaManagedAgentsSessionMultiagentSubagents` Whether the agent can spawn session threads. - `class BetaManagedAgentsSessionMultiagentSubagentsEnabled` The agent can spawn session threads. - `type: Literal["enabled"]` - `inline_agents: BetaManagedAgentsMultiagentInlineAgents` Whether the agent can define inline agents, which are not saved, when it spawns session threads. - `class BetaManagedAgentsMultiagentInlineAgentsEnabled` The agent can define inline agents. - `type: Literal["enabled"]` - `class BetaManagedAgentsMultiagentInlineAgentsDisabled` The agent cannot define inline agents. - `type: Literal["disabled"]` - `predefined_agents: List[BetaManagedAgentsSessionThreadAgent]` Full `agent` definitions of the predefined agents, which are saved agents that this agent can spawn as session threads. - `type: Literal["agent"]` - `id: str` - `description: Optional[str]` - `mcp_servers: List[BetaManagedAgentsMCPServerURLDefinition]` - `model: BetaManagedAgentsModelConfig` Model identifier and configuration. - `name: str` - `skills: List[Skill]` - `system: Optional[str]` - `tools: List[Tool]` - `version: int` format: int32 - `class BetaManagedAgentsMultiagentSubagentsDisabled` The agent cannot spawn session threads. - `type: Literal["disabled"]` - `workflows: BetaManagedAgentsSessionMultiagentWorkflows` Whether the agent can start workflow runs. - `class BetaManagedAgentsSessionMultiagentWorkflowsEnabled` The agent can start workflow runs. - `type: Literal["enabled"]` - `inline_agents: BetaManagedAgentsMultiagentInlineAgents` Whether a run's plan can define inline agents, which are not saved. - `predefined_agents: List[BetaManagedAgentsSessionThreadAgent]` Full `agent` definitions of the predefined agents, which are saved agents that a run's plan can use. - `type: Literal["agent"]` - `id: str` - `description: Optional[str]` - `mcp_servers: List[BetaManagedAgentsMCPServerURLDefinition]` - `model: BetaManagedAgentsModelConfig` Model identifier and configuration. - `name: str` - `skills: List[Skill]` - `system: Optional[str]` - `tools: List[Tool]` - `version: int` format: int32 - `class BetaManagedAgentsMultiagentWorkflowsDisabled` The agent cannot start workflow runs. - `type: Literal["disabled"]` - `name: str` - `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. - `version: int` format: int32 - `archived_at: Optional[datetime]` When the session was archived. Null if not archived. format: date-time - `budget: Optional[BetaManagedAgentsBudgetLimit]` The session's enforced spend ceiling, or null when no budget is set. - `type: Literal["limit"]` - `max_list_cost: BetaMonetaryAmount` Maximum list cost the session may accrue. List price is used regardless of any negotiated discount, so the cap fires at or before the actual charge. - `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. - `created_at: datetime` A timestamp in RFC 3339 format format: date-time - `environment_id: str` - `metadata: Dict[str, str]` - `outcome_evaluations: List[BetaManagedAgentsOutcomeEvaluationResource]` Per-outcome evaluation state. One entry per `define_outcome` event sent to the session. - `type: Literal["outcome_evaluation"]` - `completed_at: Optional[datetime]` When the outcome reached a terminal result. Null while `pending`/`running`/`evaluating`. format: date-time - `description: str` What the agent should produce. - `explanation: Optional[str]` 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: int` 0-indexed revision cycle the outcome is currently on. format: int32 - `outcome_id: str` Server-generated outc_ ID for this outcome. - `result: str` 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: List[BetaManagedAgentsSessionResource]` - `class BetaManagedAgentsGitHubRepositoryResource` - `type: Literal["github_repository"]` - `id: str` - `created_at: datetime` A timestamp in RFC 3339 format format: date-time - `mount_path: str` - `updated_at: datetime` A timestamp in RFC 3339 format format: date-time - `url: str` - `checkout: Optional[Checkout]` - `class BetaManagedAgentsBranchCheckout` - `type: Literal["branch"]` - `name: str` Branch name to check out. minLength: 1, maxLength: 255 - `class BetaManagedAgentsCommitCheckout` - `type: Literal["commit"]` - `sha: str` Full commit SHA to check out. minLength: 7, maxLength: 64 - `class BetaManagedAgentsFileResource` - `type: Literal["file"]` - `id: str` - `created_at: datetime` A timestamp in RFC 3339 format format: date-time - `file_id: str` - `mount_path: str` - `updated_at: datetime` A timestamp in RFC 3339 format format: date-time - `class BetaManagedAgentsMemoryStoreResource` A memory store attached to an agent session. - `type: Literal["memory_store"]` - `memory_store_id: str` The memory store ID (memstore_...). Must belong to the caller's organization and workspace. - `access: Optional[Literal["read_write", "read_only"]]` Access mode for the mounted store. Defaults to `read_write`. `read_only` mounts the store as a read-only filesystem. - `"read_write"` - `"read_only"` - `description: Optional[str]` 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[str]` 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[str]` 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[str]` 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 the session. - `active_seconds: Optional[float]` Cumulative time in seconds the session spent in `running` status. Excludes idle time. format: double - `duration_seconds: Optional[float]` Elapsed time since session creation in seconds. For terminated sessions, frozen at the final update. format: double - `status: Literal["rescheduling", "running", "idle", "terminated"]` - `"rescheduling"` Transient error occurred, retrying automatically. - `"running"` Agent is actively executing. - `"idle"` Agent is waiting for input, including user messages or tool confirmations. Sessions start in idle. - `"terminated"` Session has ended, either due to an error or completion. - `title: Optional[str]` - `updated_at: datetime` A timestamp in RFC 3339 format format: date-time - `usage: BetaManagedAgentsSessionUsage` Cumulative token usage for the session. - `active_seconds: Optional[float]` 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]` 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 the session across all turns, priced at public list rates. Absent until cost tracking is available for the session. - `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. Absent until server-tool tracking is available for the session. - `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 - `vault_ids: List[str]` Vault IDs attached to the session at creation. Empty when no vaults were supplied. - `deployment_id: Optional[str]` Deployment ID when the session was created from a deployment reference. Null otherwise. ## 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 ) beta_managed_agents_session = client.beta.sessions.retrieve( session_id="sesn_011CZkZAtmR3yMPDzynEDxu7", ) print(beta_managed_agents_session.id) ``` ### 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-5-5", "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-5-5", "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_011CZkZFNu9hAbo3jZPRgTmx", "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_011CZkZRSw2kEfs6ncTVmjxP", "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_011CZkZCKr6eXym1gWMPdQiu", "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" } ```