- Add onPreload hook and preloaded field to all lifecycle events
- Add transport.preload(chatId) for eagerly starting runs before first message
- Add preloadWarmTimeoutInSeconds and preloadTimeout task options
- Add preload:true run tag and chat.preloaded span attributes
- Add UserTool model for per-user dynamic tools loaded from DB
- Load dynamic tools in onPreload/onChatStart via chat.local
- Build dynamicTool() instances in run and spread into streamText tools
- Reference project: preload on new chat, dynamic company-info and user-preferences tools
- Store chat turn context (chatId, turn, continuation, clientData) in locals for auto-detection
- toolFromTask now auto-detects chat context and passes it to subtask metadata
- Skip serializing messages array (can be large, rarely needed by subtasks)
- Tag subtask runs with toolCallId for dashboard visibility
- Add ai.toolCallId() convenience helper
- Add ai.chatContext<typeof myChat>() with typed clientData inference
- Add ai.chatContextOrThrow<typeof myChat>() that throws if not in a chat context
- Update deepResearch example to use ai.chatContextOrThrow
- Document all helpers in ai-chat guide
- Export chat.stream (typed RealtimeDefinedStream<UIMessageChunk>) for writing custom data to the chat stream
- Add deepResearch subtask using data-* chunks to stream progress back to parent chat via target: root
- Use AI SDK data-research-progress chunk protocol with id-based updates for live progress
- Add ResearchProgress component and generic data-* fallback renderer in frontend
- Persist model per chat in DB (schema + onChatStart), model selector only on new chats
- Add collapsible debug panel showing run ID (with dashboard link), chat ID, model, status, session info
- Document chat.stream API, data-* chunks, and subtask streaming pattern in docs
- Fix onFinish race condition: await onFinishPromise so capturedResponseMessage is set before accumulation
- Add chat.isStopped() helper accessible from anywhere during a turn
- Add chat.cleanupAbortedParts() to remove incomplete tool/reasoning/text parts on stop
- Auto-cleanup aborted parts before passing to onTurnComplete
- Clean incoming messages from frontend to prevent tool_use without tool_result API errors
- Add stopped and rawResponseMessage fields to TurnCompleteEvent
- Add continuation and previousRunId fields to all lifecycle hooks and run payload
- Add span attributes (chat.id, chat.turn, chat.stopped, chat.continuation, chat.previous_run_id, etc.)
- Add webFetch tool and reasoning model support to ai-chat reference project
- Render reasoning parts in frontend chat component
- Document all new fields in ai-chat guide
@ai-sdk/openai v3 and @ai-sdk/react v3 are needed for ai v6 compatibility.
convertToModelMessages is async in newer AI SDK versions.
Co-authored-by: Eric Allam <eric@trigger.dev>
1. Add null/object guard before enqueuing UIMessageChunk from SSE stream
to handle heartbeat or malformed events safely
2. Use incrementing counter instead of Date.now() in test message
factories to avoid duplicate IDs
3. Add test covering publicAccessToken from trigger response being used
for stream subscription auth
Co-authored-by: Eric Allam <eric@trigger.dev>
Eric Allam