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API Reference

Models

Manage LLM models available to a workspace. Models represent provider and family pairs (e.g., “anthropic/claude-sonnet-4.6”). Workspaces are seeded with the supported models and you can enable or disable each one.

List models
models.list(workspace_id, **kwargs) -> CursorPagination<Model { metadata, spec } >
GET/v1/workspaces/{workspaceId}/models
Get a model by ID
models.retrieve(id, **kwargs) -> Model { metadata, spec }
GET/v1/workspaces/{workspaceId}/models/{id}
Set model status
models.set_status(id, **kwargs) -> Model { metadata, spec }
PUT/v1/workspaces/{workspaceId}/models/{id}/status
ModelsExpand Collapse
class Model { metadata, spec }
metadata: ResourceMetadata { id, account_id, created_at, 6 more }

Standard metadata for persistent, named resources (e.g., agents, tools, prompts)

id: String

Unique identifier for the resource (prefixed ULID, e.g., “agent_01HXK…”)

account_id: String

Account this resource belongs to for multi-tenant isolation (prefixed ULID)

created_at: Time

Timestamp when this resource was created

formatdate-time
name: String

Human-readable name for the resource (e.g., “Customer Support Agent”, “Email Tool”) Required for resources that users interact with directly

profile_id: String

ID of the actor (user or service account) that created this resource

workspace_id: String

Workspace this resource belongs to for organizational grouping (prefixed ULID)

bundle_key: String

Optional bundle ownership key. When set, indicates the resource is managed by a configuration bundle identified by this key. Used by BulkWorkspaceResources.Apply to track which resources belong to which bundle for reconciliation / soft-delete on re-apply.

external_id: String

External ID for the resource (e.g., a workflow ID from an external system)

labels: Hash[Symbol, String]

Arbitrary key-value pairs for categorization and filtering Examples: {“environment”: “production”, “team”: “platform”, “version”: “v2”}

spec: ModelSpec { family, input_price_per_million_tokens, max_input_tokens, 4 more }

Model specification

family: String

The model family (e.g., “claude-sonnet-4.6”, “gpt-5.4”, “gemini-2.5-flash”)

input_price_per_million_tokens: String

Cost per million input tokens in cents (e.g., 300 = $3.00)

max_input_tokens: Integer

Maximum number of input tokens the model supports

formatint32
max_output_tokens: Integer

Maximum number of output tokens the model can generate

formatint32
output_price_per_million_tokens: String

Cost per million output tokens in cents (e.g., 1500 = $15.00)

provider: String

The model provider (e.g., “anthropic”, “openai”, “google”)

status: :MODEL_STATUS_UNSPECIFIED | :MODEL_STATUS_ENABLED | :MODEL_STATUS_DISABLED

The status of the model in the workspace

formatenum
One of the following:
:MODEL_STATUS_UNSPECIFIED
:MODEL_STATUS_ENABLED
:MODEL_STATUS_DISABLED
class ModelSpec { family, input_price_per_million_tokens, max_input_tokens, 4 more }
family: String

The model family (e.g., “claude-sonnet-4.6”, “gpt-5.4”, “gemini-2.5-flash”)

input_price_per_million_tokens: String

Cost per million input tokens in cents (e.g., 300 = $3.00)

max_input_tokens: Integer

Maximum number of input tokens the model supports

formatint32
max_output_tokens: Integer

Maximum number of output tokens the model can generate

formatint32
output_price_per_million_tokens: String

Cost per million output tokens in cents (e.g., 1500 = $15.00)

provider: String

The model provider (e.g., “anthropic”, “openai”, “google”)

status: :MODEL_STATUS_UNSPECIFIED | :MODEL_STATUS_ENABLED | :MODEL_STATUS_DISABLED

The status of the model in the workspace

formatenum
One of the following:
:MODEL_STATUS_UNSPECIFIED
:MODEL_STATUS_ENABLED
:MODEL_STATUS_DISABLED