Agently Runtime

Use this Skill after the request or workflow owner is known. Use agently-triggerflow when branching, concurrency, pause/resume, retry, or multi-stage progression must remain visible in the execution graph. Use agently-stage only for process-local lifetime and sync/async bridging.

Read by Need

• Callable Actions, Search/Browse, MCP/ACP, policy, artifacts, or AgentTask evidence: actions-runtime.md.
• Action versus ExecutionResource, managed clients/sandboxes/processes/ browsers/databases, and runtime permission profiles: actions-execution-resource.md.
• auto_func, KeyWaiter, FastAPIHelper, SSE, or WebSocket exposure: helpers-and-services.md.
• RuntimeEvent, logs, traces, evaluation, playground, or DevTools: devtools.md.
• TaskContext, ContextReader, SkillLibrary, and real-world Skill packages: context-and-skills.md.

Owner Boundaries

Owner	Responsibility
ActionRuntime	Model-callable operation schema, planning/dispatch, policy, and Action results.
ExecutionResource	Lifecycle of live clients, sandboxes, processes, browsers, databases, and MCP sessions.
TaskWorkspace	One task's contained files, generated artifacts, readback, identity, and promotion.
RecordStore	Durable records, links, retrieval, RuntimeEvents, checkpoints, snapshots, leases, and durable refs.
TaskContext / ContextReader	Task information bindings and consumer-bound progressive disclosure.
SkillLibrary	Installed immutable Skill revisions and resource reads; never execution permission.
AgentExecution	Task-scoped binding, context preparation, route selection, result, and stream APIs.

Do not collapse these into a generic Workspace or runtime manager. File space is not record storage; records are not model-hot context; a Skill package is not an executor or permission grant.

Runtime Rules

• Prefer @agent.action_func and agent.use_actions(...). The tool_* and use_tool(s) names are compatibility surfaces.
• Treat Action ids and model-planned arguments as untrusted. Validate schema, authorization, and policy before dispatch; require recorded Action evidence for claimed side effects.
• Keep permission profiles explicit and narrow. Do not expose shell, network, browser, install, file-write, or MCP capabilities merely because an AgentTask exists.
• Use TaskWorkspace for contained file work and verified artifact readback; use RecordStore for durable records and recovery. Keep large bodies cold behind refs until an explicit consumer reads them.
• A real-world Skill supplies guidance and addressable resources. Actions, MCP, ExecutionResources, script authorization, and side-effect proof remain explicit host-owned bindings.
• Use a fresh agent.create_execution() for multi-statement setup. A completed execution is an immutable run record; create another execution for another run.
• Use agent.create_task(...) only when the model should own bounded planning, execution evidence, verification, and replan. create_task_loop(...) is a compatibility spelling, not the recommended surface. Stable application orchestration belongs to TriggerFlow.
• Persist resource descriptors, never live clients or secrets. Reconstruct resources through their provider/resolver during recovery.
• Bind RuntimeEvent persistence explicitly. Availability of a RecordStore does not turn every observation into a durable event archive.
• Observation and transport are adapters: they must not become owners of routing, authorization, workflow lifecycle, semantic acceptance, or retry.

Fail Closed

Reject unknown Skill revisions, resource refs, Action ids, selection keys, context block keys, recovery providers, and external-resume identities. Offer models one short host-issued selection key, validate it against the offered set, then reconstruct canonical records in host code.

Do not use keyword or regex matching as the semantic owner for intent, Skill relevance, route choice, evidence usefulness, or output quality. Do not fake model-owned success with canned outputs or deterministic business mappings.