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Fix `chat.agent` skills silently missing in `trigger dev` for projects whose task files read `process.env` at module top level (e.g. a third-party SDK client initialized at import). Skill folders now bundle into `.trigger/skills/` reliably regardless of which env vars are set when the CLI launches.
Fix `chat.agent` HITL continuations on reasoning-heavy turns. Two changes that work together:
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- The per-turn merge now overlays the wire copy's tool-part state advancement onto the agent's existing chain — `state` + the matching resolution field (`output` / `errorText` / `approval`) come from the wire, everything else (text, reasoning, tool `input`, provider metadata) stays whatever the snapshot or `hydrateMessages` returned. Previously a full-message replace overwrote those fields with whatever the client shipped, so a slimmed wire copy landed a tool call with no `arguments` on the next LLM call. Covers `output-available` / `output-error` (HITL `addToolOutput`) and `approval-responded` / `output-denied` (approval flow).
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-`TriggerChatTransport.sendMessages` and `AgentChat.sendRaw` now slim assistant messages that carry advanced tool parts. The wire payload is just `{ id, role, parts: [<state + resolution field>] }` for `submit-message` continuations; everything else passes through. Reasoning blobs and full tool inputs no longer ride the wire on every `addToolOutput` / `addToolApproveResponse`, so continuation payloads stay well under the `.in/append` cap on long agent loops.
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Note: `onValidateMessages` receives the slim wire on HITL turns. If you call `validateUIMessages` from `ai` against the full `messages` array it will reject the slim assistant; filter to user messages (or skip on HITL turns) — see the updated docstring on `onValidateMessages` for the recommended pattern.
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For `hydrateMessages` hooks that persist the chain, this release also adds a small helper to the `@trigger.dev/sdk/ai` surface:
It pushes fresh user messages by id, no-ops on HITL continuations (the incoming shares an id with the existing assistant — the runtime overlays the new tool-state advance), and skips on non-`submit-message` triggers. Returns `true` if it mutated `stored` so the caller knows whether to persist.
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Net effect: `chat.addToolOutput(...)` / `chat.addToolApproveResponse(...)` on multi-step reasoning agents (OpenAI Responses with `store: false`, Anthropic extended thinking, etc.) no longer blows the cap and no longer corrupts the LLM input.
// In the browser, threaded from the transport's typed startSession callback:
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const transport =useTriggerChatTransport<typeofmyChat>({
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task: "my-chat",
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startSession: ({ chatId, clientData }) =>
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startChatSession({ chatId, clientData }),
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// ...
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});
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```
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`ChatStartSessionParams` gains a typed `clientData` field — folded into the first run's `payload.metadata` so `onPreload` / `onChatStart` see the same shape per-turn `metadata` carries via the transport. The opaque session-level `metadata` field is unchanged.
Add MollifierBuffer and MollifierDrainer primitives for trigger burst smoothing.
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MollifierBuffer (`accept`, `pop`, `ack`, `requeue`, `fail`, `evaluateTrip`) is a per-env FIFO over Redis with atomic Lua transitions for status tracking. `evaluateTrip` is a sliding-window trip evaluator the webapp gate uses to detect per-env trigger bursts.
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MollifierDrainer pops entries through a polling loop with a user-supplied handler. The loop survives transient Redis errors via capped exponential backoff (up to 5s), and per-env pop failures don't poison the rest of the batch — one env's blip is logged and counted as failed for that tick. Rotation is two-level: orgs at the top, envs within each org. The buffer maintains `mollifier:orgs` and `mollifier:org-envs:${orgId}` atomically with per-env queues, so the drainer walks orgs → envs directly without an in-memory cache. The `maxOrgsPerTick` option (default 500) caps how many orgs are scheduled per tick; for each picked org, one env is popped (rotating round-robin within the org). An org with N envs gets the same per-tick scheduling slot as an org with 1 env, so tenant-level drainage throughput is determined by org count rather than env count.
Fix `COULD_NOT_FIND_EXECUTOR` when a task's definition is loaded via `await import(...)` from inside another task's `run()`. The runtime workers now register such tasks with a sentinel file context, and the catalog logs a one-time warning per task id.
Add `TriggerClient` for running multiple SDK clients side-by-side, each with its own auth, preview branch, and baseURL. Useful when a single process needs to trigger tasks or read runs across multiple projects, environments, or preview branches without mutating shared global state.
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