Claude Platform Docs

创建会话

BetaManagedAgentsSession Beta.Sessions.Create(parameters, cancellationToken = default)
POST/v1/sessions

创建会话

Parameters
SessionCreateParams parameters
required Agent agent

Body param: Agent identifier. Accepts the agent ID string, which pins the latest version for the session, or an agent object with both id and version specified.

string
class BetaManagedAgentsAgentParams { Type; ID; Version; }

Specification for an Agent. Provide a specific version or use the short-form agent="agent_id" for the most recent version

required Type Type
required string ID

The agent ID.

minLength1
maxLength128
int Version

The specific agent version to use. Omit to use the latest version. Must be at least 1 if specified.

formatint32
class BetaManagedAgentsAgentWithOverridesParams { Type; ID; McpServers; /* 5 more */ }

Reference to an agent plus optional configuration overrides. Each provided field replaces the agent's value for the caller's use; the agent resource is unchanged.

required string environmentID

Body param: ID of the environment defining the container configuration for this session.

minLength1
maxLength128

Body param: A hard spend ceiling. The session stops issuing new model requests once the tracked list cost reaches max_list_cost.

IReadOnlyList<InitialEvent> initialEvents

Body param: Initial events to send to the session at creation, processed in order. Supports user.message and user.define_outcome events. Maximum 50 events.

class BetaManagedAgentsUserMessageEventParams { Type; Content; }

Parameters for sending a user message to the session.

class BetaManagedAgentsUserDefineOutcomeEventParams { Type; Description; Rubric; MaxIterations; }

Parameters for defining an outcome the agent should work toward. The agent begins work on receipt.

required Type Type
required string Description

What the agent should produce. This is the task specification.

required Rubric Rubric

Rubric for grading the quality of an outcome.

One of the following:
class BetaManagedAgentsFileRubricParams { Type; FileID; }

Rubric referenced by a file uploaded via the Files API.

required Type Type
required string FileID

ID of the rubric file.

class BetaManagedAgentsTextRubricParams { Type; Content; }

Rubric content provided inline as text.

required Type Type
required string Content

Rubric content. Plain text or markdown — the grader treats it as freeform text. Maximum 262144 characters.

maxLength262144
int? MaxIterations

Eval→revision cycles before giving up. Default 3, max 20.

formatint32
IReadOnlyDictionary<string, string> metadata

Body param: Arbitrary key-value metadata attached to the session. Maximum 16 pairs, keys up to 64 chars, values up to 512 chars.

IReadOnlyList<Resource> resources

Body param: Resources (e.g. repositories, files) to mount into the session's container.

class BetaManagedAgentsGitHubRepositoryResourceParams { Type; Url; AuthorizationToken; /* 2 more */ }

Mount a GitHub repository into the session's container.

class BetaManagedAgentsFileResourceParams { Type; FileID; MountPath; }

Mount a file uploaded via the Files API into the session.

required Type Type
required string FileID

ID of a previously uploaded file.

minLength1
maxLength128
string? MountPath

Mount path in the container. Defaults to /mnt/session/uploads/<file_id>.

minLength1
maxLength4096
class BetaManagedAgentsMemoryStoreResourceParam { Type; MemoryStoreID; Access; Instructions; }

Parameters for attaching a memory store to an agent session.

required Type Type
required string MemoryStoreID

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

Access? Access

Access mode for an attached memory store.

One of the following:
ReadWrite("read_write")
ReadOnly("read_only")
string? Instructions

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

maxLength4096
string? title

Body param: Human-readable session title.

maxLength500
IReadOnlyList<string> vaultIds

Body param: Vault IDs for stored credentials the agent can use during the session.

IReadOnlyList<AnthropicBeta> betas

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

MessageBatches2024_09_24("message-batches-2024-09-24")
PromptCaching2024_07_31("prompt-caching-2024-07-31")
ComputerUse2024_10_22("computer-use-2024-10-22")
ComputerUse2025_01_24("computer-use-2025-01-24")
Pdfs2024_09_25("pdfs-2024-09-25")
TokenCounting2024_11_01("token-counting-2024-11-01")
TokenEfficientTools2025_02_19("token-efficient-tools-2025-02-19")
Output128k2025_02_19("output-128k-2025-02-19")
FilesApi2025_04_14("files-api-2025-04-14")
McpClient2025_04_04("mcp-client-2025-04-04")
McpClient2025_11_20("mcp-client-2025-11-20")
DevFullThinking2025_05_14("dev-full-thinking-2025-05-14")
InterleavedThinking2025_05_14("interleaved-thinking-2025-05-14")
CodeExecution2025_05_22("code-execution-2025-05-22")
ExtendedCacheTtl2025_04_11("extended-cache-ttl-2025-04-11")
Context1m2025_08_07("context-1m-2025-08-07")
ContextManagement2025_06_27("context-management-2025-06-27")
ModelContextWindowExceeded2025_08_26("model-context-window-exceeded-2025-08-26")
Skills2025_10_02("skills-2025-10-02")
FastMode2026_02_01("fast-mode-2026-02-01")
Output300k2026_03_24("output-300k-2026-03-24")
UserProfiles2026_03_24("user-profiles-2026-03-24")
UserProfiles2026_08_18("user-profiles-2026-08-18")
UserProfiles2026_09_04("user-profiles-2026-09-04")
AdvisorTool2026_03_01("advisor-tool-2026-03-01")
ManagedAgents2026_04_01("managed-agents-2026-04-01")
CacheDiagnosis2026_04_07("cache-diagnosis-2026-04-07")
Dreaming2026_04_21("dreaming-2026-04-21")
ThinkingTokenCount2026_05_13("thinking-token-count-2026-05-13")
ServerSideFallback2026_06_01("server-side-fallback-2026-06-01")
ServerSideFallback2026_07_01("server-side-fallback-2026-07-01")
FallbackCredit2026_06_01("fallback-credit-2026-06-01")
FallbackCredit2026_07_01("fallback-credit-2026-07-01")
AgentMemory2026_07_22("agent-memory-2026-07-22")
MidConversationToolChanges2026_07_01("mid-conversation-tool-changes-2026-07-01")
Compact2026_01_12("compact-2026-01-12")
ComputerUse2025_11_24("computer-use-2025-11-24")
McpTunnels2026_06_22("mcp-tunnels-2026-06-22")
StructuredOutputs2025_11_13("structured-outputs-2025-11-13")
TaskBudgets2026_03_13("task-budgets-2026-03-13")
ThinkingDisplayUpdates2026_08_18("thinking-display-updates-2026-08-18")
CEUserManagement2026_07_13("ce-user-management-2026-07-13")
MidConversationOutputConfig2026_07_01("mid-conversation-output-config-2026-07-01")
ThinkingBindingControls2026_08_01("thinking-binding-controls-2026-08-01")
MidConversationSystemClearAt2026_08_21("mid-conversation-system-clear-at-2026-08-21")
Compact2026_09_04("compact-2026-09-04")
string workspaceID

Header param: 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 { Type; ID; Agent; /* 14 more */ }

A Managed Agents session.

创建会话
SessionCreateParams parameters = new()
{
    Agent = "agent_011CZkYpogX7uDKUyvBTophP",
    EnvironmentID = "env_011CZkZ9X2dpNyB7HsEFoRfW",
};

var betaManagedAgentsSession = await client.Beta.Sessions.Create(parameters);

Console.WriteLine(betaManagedAgentsSession);
Returns Examples
Response 200
{
  "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"
}