triggerdotdev/trigger-authoring-chat-agent
> run loop, why you MUST spread ...chat.toStreamTextOptions() first, returning a StreamTextResult vs calling chat.pipe(), the two server actions (chat.createStartSessionAction + auth.createPublicToken), and wiring useChat to useTriggerChatTransport. Load this when building, modifying, or debugging a chat backend (the agent task or its lifecycle hooks) or its React transport, when declaring typed tools or custom data parts, or when migrating a plain AI SDK streamText route to chat.agent.
npx skills add https://github.com/triggerdotdev/trigger.dev --skill trigger-authoring-chat-agent
The full, version-pinned reference ships inside your installed @trigger.dev/sdk. Read it before writing code — it always matches the SDK version in this project, so it never drifts:
node_modules/@trigger.dev/sdk/skills/trigger-authoring-chat-agent/SKILL.md — the per-turn run loop, chat.toStreamTextOptions(), the two server actions, typed tools/data parts, and the React transport.node_modules/@trigger.dev/sdk/docs/ai-chat/; the skill above lists the exact pages it draws from in its sources: frontmatter. Grep for an API, e.g. grep -rl "toStreamTextOptions" node_modules/@trigger.dev/sdk/docs/.If those paths don't exist, @trigger.dev/sdk isn't installed yet — install it first. In a non-hoisted layout, resolve the package with node -p "require.resolve('@trigger.dev/sdk/package.json')" and read skills/ + docs/ beside it.
...chat.toStreamTextOptions(). // Wrong - compaction / steering / background injection silently no-op
return streamText({ model, messages, abortSignal: signal });
// Correct - spread FIRST so explicit overrides win
return streamText({ ...chat.toStreamTextOptions(), model, messages, abortSignal: signal });
It wires the prepareStep callback behind compaction, mid-turn steering, and background
injection, injects the system prompt from chat.prompt(), resolves the registry model, and adds
telemetry. Omitting it makes all of those silently no-op with no error.
streamText. Also declare them on chat.agent({ tools }), read themback from run, and pass chat.toStreamTextOptions({ tools }). Otherwise each tool's
toModelOutput runs on turn 1 but is dropped when history is re-converted on later turns.
signal for stop. Without abortSignal: signal, Stop updates the UI but themodel keeps generating server-side.
chat.local in onChatStart. Initialize it in onBoot. onChatStart firesonce per chat, so continuation runs skip it and crash with
chat.local can only be modified after initialization. onBoot fires on every fresh worker.
the two server actions; the transport calls them.
lastEventId on chat.endRun(). Keep the cursor for the Session lifetime; clear itonly when the Session itself closes. It is sessionId-keyed, so clearing forces a resubscribe from
seq_num=0 that can hit the prior turn's stale turn-complete and close the stream empty.
uiMessageStreamOptions.onError. It leaks internals (keys,stack traces). Return a sanitized string instead.
Sibling skills: trigger-chat-agent-advanced (Sessions primitive, custom transports, sub-agents, HITL, fast starts, resilience, testing, upgrades), trigger-authoring-tasks and trigger-realtime-and-frontend (the task + frontend foundations chat builds on).
Take triggerdotdev/trigger-authoring-chat-agent from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.