| name | actions |
| description | How to create and run agent actions. Actions are the single source of truth for app operations — the agent calls them as tools and frontend code calls them through client hooks. Use when creating a new action, adding an API integration, or wiring up frontend data fetching. |
| scope | dev |
| metadata | {"internal":true} |
Agent Actions
Rule
Actions in actions/ are the single source of truth for app operations. The agent calls them as tools, the frontend calls them through useActionQuery / useActionMutation, and the framework owns the HTTP transport behind those hooks — no duplicate /api/ routes.
Before creating any custom route for app data, check actions/ and the action table in AGENTS.md. An action already exists? Call it directly. Missing? Create or update a defineAction. Stop trigger: about to add a file under server/routes/api/ (or middleware to guard one)? Check it against the exception list in Custom /api/ Routes below first — even if you already started the route.
Keep Actions Deterministic
An action may call a provider API, validate data, and persist records without being an AI feature — keep it deterministic, focused, and independently useful to the agent. Don't put LLM calls or a second model runtime in ordinary actions (completeText() in delegate-to-agent is the one narrow exception).
When a workflow is research, analysis, generation, recommendation, or synthesis — or spans several provider calls and writes — route it to the AgentSidebar via sendToAgentChat({ openSidebar: true }) and let the agent orchestrate focused actions instead of hiding an AI-shaped workflow behind one opaque generate-*/create-* action just because its implementation happens to be deterministic.
How to Create an Action
import { z } from "zod";
import { defineAction } from "@agent-native/core/action";
import { getDb } from "../server/db/index.js";
import { meals } from "../server/db/schema.js";
export default defineAction({
description: "List all meals",
schema: z.object({
date: z.string().describe("Filter by date (YYYY-MM-DD)"),
}),
http: { method: "GET" },
run: async (args) => {
const db = getDb();
const rows = await db.select().from(meals);
return rows;
},
});
schema (Zod or Standard Schema-compatible) gives runtime validation, TS inference for run() args, and an auto-generated JSON Schema for the tool. .describe() each param, .optional() for optional ones, z.enum([...]) for constrained values, z.coerce.number() for numeric HTTP params — but write an explicit boolean parser instead of z.coerce.boolean(), which treats "false" as truthy.
Use Drizzle's query builder, not raw SQL/getDbExec()/dialect-specific imports, unless Drizzle can't express the query. Never hardcode API keys/tokens/secrets — read via readAppSecret / resolveCredential / OAuth helpers; process.env is deploy-level config only.
Decision order: existing action → extend/create a defineAction → custom route as last resort (Custom /api/ Routes below). Actions are already callable by agents, CLIs, hooks, HTTP, and MCP/A2A — don't wrap them in an umbrella REST API.
Keep the Action Surface Small and Orthogonal
Every agent-exposed action is a tool in the model's context window; more tools degrades tool-selection quality. Add the fewest, most orthogonal actions that cover the capability.
- One orthogonal
update per resource, not one per field — update-<thing> taking an optional-fields patch, not update-<thing>-name + update-<thing>-order + …
- Reach for a generic escape hatch before minting a new read action — the
provider-api-catalog/docs/request trio for provider data (references/provider-apis.md), db-query for ad hoc app-data reads in dev.
agentTool: false hides a UI-only/programmatic action from the model while keeping it frontend/HTTP-callable — not toolCallable: false, which only blocks the sandboxed extension bridge and leaves the action visible everywhere else; reserve that one for high-blast-radius operations.
- Delete or hide stale actions once the UI stops using them;
pnpm actions:audit advisory-flags likely-dead/redundant ones (references/examples.md).
The http Option
Controls HTTP exposure:
| Value | Behavior | Use for |
|---|
| (omitted) | POST /_agent-native/actions/:name | Write operations (default) |
{ method: "GET" } | GET /_agent-native/actions/:name | Read-only queries |
{ method: "PUT"/"DELETE" } | matching verb | Update / delete |
{ method: "GET", path: "x" } | custom route path | Non-default path |
false | never exposed as HTTP | navigate, view-screen, internal |
Mutating actions (anything but GET) auto-refresh the UI on success — don't call refresh-screen after a normal action. Overrides (readOnly, parallelSafe) and exact trigger rules: references/action-fields.md.
Return Values
Return structured data (objects, arrays), never JSON.stringify() — the framework serializes the response and only tries to parse a returned string as JSON, which isn't the same contract.
run: async (args) => await fetchEvents(args.from, args.to);
run: async (args) => JSON.stringify(await fetchEvents(...));
Reach for outputSchema (validate the return), _agentImages (attach images the agent can see), authorize (gate who may call it), or needsApproval (require human sign-off per call) only when the action needs that guarantee — examples in references/action-fields.md.
Frontend Hooks
Use hooks from @agent-native/core/client, not hand-written fetch("/_agent-native/actions/...").
import { useActionQuery, useActionMutation, callAction } from "@agent-native/core/client/hooks";
const { data: meals } = useActionQuery("list-meals", { date: "2025-01-01" });
const { mutate } = useActionMutation("log-meal");
mutate({ name: "Salad", calories: 350 });
const people = await callAction("search-people", { query }, { method: "GET" });
Don't add manual generics like useActionQuery<Meal[]>(...) — types come from .generated/action-types.d.ts. Mutations auto-invalidate all ["action"] query keys, so GET queries refetch.
How to Run (Agent)
pnpm action my-action --input data/source.json --output data/result.json
The default template dispatches through core's runScript() in actions/run.ts. Action names are lowercase-with-hyphens (pnpm action my-action → actions/my-action.ts).
After adding or changing several related actions, smoke-test once (one
happy-path call that proves the wire-up), then typecheck once. Do not run
pnpm action … for every method unless a smoke test failed and you need to
isolate which action broke.
CRUD + Drizzle in this starter
Before hunting through node_modules for DB helpers, read:
drizzle/START_HERE.md — where tables live + migrate commands
drizzle/crud-action-example.ts — copy-paste list/create/update/delete pattern
DB client: getDb / schema from server/db.ts.
Custom /api/ Routes
Complete exception list — justified only when the caller isn't your own UI/agent, or the payload isn't JSON: file uploads (actions take JSON, not multipart), streaming (SSE/chunked needing direct H3 control), webhooks, OAuth callbacks (fixed redirect URL patterns), public unauthenticated endpoints (SEO/OG images, share links), binary/non-JSON responses.
Everything else — CRUD, settings, search, list/detail reads, auth state, anything the UI fetches as JSON — is an action. Needing middleware to scope a route to the current user is itself a signal it should be an action. First-party templates still carry a shrinking, grandfathered set of older /api/* CRUD routes (guard:no-action-twin-routes ratchets it down) — not license to add new ones.
Do / Don't
- Do keep one action, one job; document a reusable action (when to use it, key args, return fields to preserve) in
AGENTS.md once it's called from outside one narrow screen; promote workflow-heavy actions (provider-backed, cross-app, MCP/A2A, multi-step) into a skill.
- Do use
fail(message, { errorCode, statusCode }) for user-friendly errors and import primitives from @agent-native/core(/action) instead of redefining them; use the core upload-image action or uploadFile() for durable images/files — never base64 into SQL, markdown, or action results.
- Do signal failure by throwing (
fail()), never by returning { error: ... }. A returned envelope is a successful return everywhere the framework looks: the retry breakers (MAX_IDENTICAL_TOOL_ERRORS, MAX_SAME_ERROR_ACROSS_ARGUMENTS) never count it, the call is recorded completedSideEffect: true even though nothing was written, and failed_tools / $ai_is_error stay clean while the model keeps guessing. One production run spent 32% of its cost on three rejected writes that every dashboard reported as successes.
- Do throw through
fail() rather than throw new Error() whenever the message is written for whoever called. The agent reads either one, but the HTTP route can only tell them apart by type: fail() raises an ActionContractError, whose message, errorCode, and details reach the browser, while a bare Error is indistinguishable from a driver blowup and is replaced by a generic 500 "Internal server error" plus an error-tracking report. Keep the bare throw for genuine internal faults — that is what the 500 is for.
- Do give
fail() the status that matches the cause: it defaults to 400, and useActionQuery retries only 429, 502, 503, and 504. A refusal sent as 404 or 409 costs one round trip; sent as a 500 (or thrown bare) it used to cost four, plus four duplicate error reports.
- Do render in UI, never bare . The message keeps an prefix that belongs in a console, so a toast built from it reads "Action update-brand-kit failed: That name is taken." The helper returns only what the action wrote, and when nothing did (network drop, proxy HTML page), which is why the fallback is not optional.
Troubleshooting
- Action not found — filename must match the command (
pnpm action foo-bar → actions/foo-bar.ts).
- Args not parsing — use
--key value / --key=value; boolean flags are --flag (sets "true").
- Frontend 405 —
http.method doesn't match the hook (useActionQuery for GET, useActionMutation for POST/PUT/DELETE).
- Frontend gets undefined — action must return structured data, not
JSON.stringify().
References
references/provider-apis.md — wiring a credentialed provider (HubSpot, Gong, Slack, …) for querying, reporting, or cross-source research.
references/action-fields.md — outputSchema, authorize, needsApproval, _agentImages, and exact auto-refresh rules.
references/examples.md — a second worked example, the legacy parameters/bare-export patterns, and pnpm actions:audit.
Related Skills
- storing-data — Actions read/write data in SQL
- delegate-to-agent — The agent invokes actions via
pnpm action <name>
- real-time-sync — Database writes from actions trigger change events to update the UI
- adding-a-feature — Actions are area 2 of the four-area checklist
- client-methods — Client code uses named helpers/hooks instead of raw REST calls