Claude Platform Docs

Создать сеанс

POST/v1/sessions

Создать сеанс

Headers
"anthropic-beta": optional array of AnthropicBeta

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

One of the following:
string
"message-batches-2024-09-24" or "prompt-caching-2024-07-31" or "computer-use-2024-10-22" or 43 more
One of the following:
"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"
"anthropic-workspace-id": optional string
Body

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.

One of the following:
string
BetaManagedAgentsAgentParams object{ type: "agent", id, version }

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

type: "agent"
id: string

The agent ID.

minLength1
maxLength128
version: optional number

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

formatint32
BetaManagedAgentsAgentWithOverridesParams object{ type: "agent_with_overrides", id, mcp_servers, 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.

environment_id: string

ID of the environment defining the container configuration for this session.

minLength1
maxLength128
budget: optional BetaManagedAgentsBudgetLimit { type: "limit", max_list_cost }

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

type: "limit"
max_list_cost: BetaMonetaryAmount { amount, currency }

A monetary amount in a specific currency.

amount: string

Amount in minor units of the currency, as an integer decimal string with no leading zeros: "2500" is $25.00 and "50" is fifty cents. A string rather than a number so no float rounding is ever applied.

currency: BetaCurrency

Uppercase ISO-4217 currency code. USD is the only currency currently supported; the accepted set is closed and grows only when a new currency is priced.

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

One of the following:
BetaManagedAgentsUserMessageEventParams object{ type: "user.message", content }

Parameters for sending a user message to the session.

BetaManagedAgentsUserDefineOutcomeEventParams object{ type: "user.define_outcome", description, rubric, max_iterations }

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

metadata: optional map[string]

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

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

One of the following:
BetaManagedAgentsGitHubRepositoryResourceParams object{ type: "github_repository", url, authorization_token, 2 more }

Mount a GitHub repository into the session's container.

BetaManagedAgentsFileResourceParams object{ type: "file", file_id, mount_path }

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

type: "file"
file_id: string

ID of a previously uploaded file.

minLength1
maxLength128
mount_path: optional string or null

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

minLength1
maxLength4096
BetaManagedAgentsMemoryStoreResourceParam object{ type: "memory_store", memory_store_id, access, instructions }

Parameters for attaching a memory store to an agent session.

type: "memory_store"
memory_store_id: string

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

access: optional "read_write" or "read_only" or null

Access mode for an attached memory store.

One of the following:
"read_write"
"read_only"
instructions: optional string or null

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

maxLength4096
title: optional string or null

Human-readable session title.

maxLength500
vault_ids: optional array of string

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

Returns
BetaManagedAgentsSession object{ type: "session", id, agent, 14 more }

A Managed Agents session.

Создать сеанс
curl https://api.anthropic.com/v1/sessions \
    -H 'Content-Type: application/json' \
    -H 'anthropic-version: 2023-06-01' \
    -H 'anthropic-beta: managed-agents-2026-04-01' \
    -H "X-Api-Key: $ANTHROPIC_API_KEY" \
    -d '{
          "agent": "agent_011CZkYpogX7uDKUyvBTophP",
          "environment_id": "env_011CZkZ9X2dpNyB7HsEFoRfW",
          "title": "Order #1234 inquiry"
        }'
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"
}