## Summary
Adds a docs page for LLM observability: every opted-in Vercel AI SDK
call inside a task becomes its own span in the run trace, carrying the
model, provider, token counts, cost, and latency. The page covers
turning it on per call with `experimental_telemetry: { isEnabled: true
}`, what each span inspector tab shows (Overview, Messages, Tools, and a
Prompt tab when linked), linking a call to its prompt version with
`toAISDKTelemetry()`, and querying usage across runs with TRQL against
the `llm_metrics` table.
It sits in the AI dropdown under Features, next to
[Prompts](https://trigger.dev/docs/ai/prompts), and cross-links the
[Query](https://trigger.dev/docs/observability/query) page.
It is explicit that capture is opt-in per call (not automatic) and only
covers Vercel AI SDK calls, and notes the `@ai-sdk/otel` requirement on
AI SDK 7. Every API name, span tab, and TRQL column was checked against
the SDK and the live query schema.
## Also in this PR
Corrects one bullet in the [AI Agents
overview](https://trigger.dev/docs/ai-chat/overview): it claimed an
in-progress chat resumes on the new version after a redeploy, which
contradicts the version-upgrades and backend pages. Chat agent runs are
pinned to the version they started on; moving onto new code is an
explicit version upgrade.
Removes the release-candidate framing from the docs for the 4.5 GA: the
`@rc` install caveats on the `skills` CLI command, and the AI Agents and
Prompts release-candidate banner (a shared snippet used across the
ai-chat and prompts pages) plus the `>=4.5.0-rc.0` compatibility pin in
the AI reference.
## Summary
A new guide for connecting a database to your tasks: where to create the
client, how to size the connection pool against your provider's limit,
when to reach for a pooler, and how to release connections at waits so
you don't hit "too many connections" or crash on resume.
It covers node-postgres, Prisma, Drizzle, and MongoDB, with researched
direct and pooled connection limits for the common Postgres providers
(Supabase, Neon, RDS, PlanetScale) and MongoDB Atlas. The page lives
under Documentation, Troubleshooting, and is linked from the chat agent
docs (overview, lifecycle hooks, chat.local, and the database
persistence pattern).
## Summary
Documents the new `tools` option on `chat.agent` (companion to #3790).
Adds a dedicated [Tools](/ai-chat/tools) guide: the three places tools
show up (config, `toStreamTextOptions`, `streamText`), why declaring
them on the config matters for `toModelOutput` across turns, static vs
per-turn tools, the typed `run()` payload,
`InferChatUIMessageFromTools`, the relationship to skills, and the
manual `convertToModelMessages` path for `customAgent` loops.
Threads the option through the rest of the guide: the reference tables,
a happy-path section on the backend page, the types page, and the HITL /
skills / tool-result-auditing patterns. Corrects the sub-agents guide,
where the `toModelOutput` compression was implied to work across turns
but silently degraded from turn 2 without config tools.
Also unstacks the three callouts that were piled under the
`chat.agent()` header on the backend page, and adds a changelog entry.
## Summary
Lands the full AI Agents documentation surface alongside the v4.5
release candidate of `@trigger.dev/sdk`. Covers `chat.agent` end to end
— defining agents, lifecycle hooks, the frontend transport, sub-agents,
recovery from cancel/crash/OOM, AI Prompts integration — and the
Sessions primitive that backs it.
## Coverage
- **Conceptual**: Overview, Quick Start, How it works.
- **Building agents**: Backend (`chat.agent` / `chat.createSession` /
raw primitives), Lifecycle hooks, Frontend transport, Server-side
`AgentChat`, Sessions reference, `chat.local` state primitive,
TypeScript types.
- **Features**: AI Prompts integration, Fast starts (Preload + Head
Start), Compaction, Pending Messages (steering), Background Injection
(`chat.inject` + `chat.defer`), Actions (undo / regenerate / edit),
Error handling.
- **Patterns (13)**: Sub-agents, Branching conversations, Code sandbox,
Database persistence, Persistence and replay, HITL, Tool result
auditing, Large payloads, Agent skills, OOM resilience, Recovery boot,
Trusted edge signals, Version upgrades.
- **Reference**: API Reference, Client Protocol (wire format), Testing
harness (`mockChatAgent`), MCP server tools, Upgrade guide, Changelog.
## Structure changes
- Top-level nav: AI → **Agents**, with sub-groups for *Building agents /
Features / Patterns / Reference*.
- New RC banner snippet on every page links to the supported AI SDK
versions table on the API Reference.
- All examples use Anthropic with `stopWhen: stepCountIs(15)`.
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
DKP