Once this is merged, oxlint is at a pretty sensible baseline.
**Enable `no-unused-vars`, `typescript/consistent-type-imports`, and
`import/no-duplicates` lint rules**
Turns on three previously-disabled oxlint rules across the monorepo and
fixes all violations:
- **`no-unused-vars`** – enabled as an error with standard ignore
patterns: unused function arguments are ignored by default (`args:
"none"`), variables/caught errors/destructured array elements prefixed
with `_` are allowed, and rest siblings are permitted.
- **`typescript/consistent-type-imports`** – enforced as an error; all
type-only imports now use the `import type` syntax.
- **`import/no-duplicates`** – enforced as an error; duplicate import
statements from the same module have been merged.
The remaining commits clean up the violations found across the codebase:
removing unused variables/imports/type aliases, adding `_` prefixes to
intentionally unused bindings, fixing duplicate imports, and converting
value imports to `import type` where appropriate.
- Automatic LLM cost enrichment for AI SDK spans (streamText,
generateText, generateObject) or any other spans that use semantic
gen_ai attributes with support for 145+ models
- New AI span inspector sidebar showing model, tokens, cost, messages,
tool calls, and response text
- LLM metrics dual-write to ClickHouse `llm_metrics_v1` table for
analytics
- LLM metrics built-in dashboard (unlinked at the moment)
- Provider cost fallback — uses gateway/OpenRouter reported costs from
`providerMetadata` when registry pricing is unavailable
- Prefix-stripping for gateway/OpenRouter model names (e.g.
`mistral/mistral-large-3` matches `mistral-large-3` pricing)
- Admin dashboard for managing LLM model pricing (list, create, edit,
delete, search, test pattern matching)
- Missing models detection page — queries ClickHouse for unpriced models
with sample spans and Claude Code-ready prompts for adding pricing
- AI span seed script (`pnpm run db:seed:ai-spans`) with 51 spans across
12 provider systems for local dev testing
- UI fixes: `completionTokens`/`promptTokens` aliases,
`ai.response.object` display for generateObject, cache read/write token
breakdown
## Screenshots:
<img width="1030" height="104" alt="CleanShot 2026-03-17 at 16 48 54@2x"
src="https://github.com/user-attachments/assets/bc8fccda-e48b-4d0c-bfb1-e620064e5979"
/>
<img width="1094" height="1512" alt="CleanShot 2026-03-17 at 16 49
23@2x"
src="https://github.com/user-attachments/assets/c2424569-d07e-4d67-a436-e8250043a1ee"
/>
<img width="1074" height="1412" alt="CleanShot 2026-03-17 at 16 49
18@2x"
src="https://github.com/user-attachments/assets/22342ac4-4769-45d1-a328-a24fb9a82a50"
/>
<img width="1012" height="2292" alt="CleanShot 2026-03-17 at 16 39
01@2x"
src="https://github.com/user-attachments/assets/59e327d1-6652-4293-8be0-bb8326e5fbc5"
/>
<img width="3680" height="2392" alt="CleanShot 2026-03-15 at 08 29
38@2x"
src="https://github.com/user-attachments/assets/1f77beb8-de67-495b-b890-bcdb8d7f1fe8"
/>
---------
Co-authored-by: James Ritchie <james@trigger.dev>
What changed
- Fixed some functions like dateAdd, toString, ifNotFinite
- Removed all functions that accept lambdas as they're not supported
(yet)
- Added tests for all TRQL functions that use ClickHouse
- Adds an end-to-end OTEL metrics pipeline: task workers collect and
export metrics via OpenTelemetry, the webapp ingests them into
ClickHouse, and they're queryable through the existing dashboard query
engine
- Workers emit process CPU/memory metrics (via
`@opentelemetry/host-metrics`) and Node.js runtime metrics (event loop
utilization, event loop delay, heap usage)
- Users can create custom metrics in their tasks via
`otel.metrics.getMeter()` from `@trigger.dev/sdk`
- Metrics are automatically tagged with run context (run ID, task slug,
machine, worker version) so they can be sliced per-run, per-task, or
per-machine
- The TSQL query engine gains metrics table support with typed attribute
columns, `prettyFormat()` for human-readable values, and per-schema time
bucket thresholds
- Includes reference tasks
(`references/hello-world/src/trigger/metrics.ts`) demonstrating
CPU-intensive, memory-ramp, bursty workload, and custom metrics patterns
## What changed
### Metrics collection (packages/core, packages/cli-v3)
- **Metrics export pipeline** — `TracingSDK` now sets up a
`MeterProvider` with a `PeriodicExportingMetricReader` that chains
through `TaskContextMetricExporter` (adds run context attributes) and
`BufferingMetricExporter` (batches exports to reduce overhead)
- **Host metrics** — Enabled `@opentelemetry/host-metrics` for process
CPU, memory, and system-level metrics
- **Node.js runtime metrics** — New `nodejsRuntimeMetrics.ts` module
using `performance.eventLoopUtilization()`, `monitorEventLoopDelay()`,
and `process.memoryUsage()` to emit 6 observable gauges
- File system and diskio metrics
- **Custom metrics** — Exposed `otel.metrics` from `@trigger.dev/sdk` so
users can create counters, histograms, and gauges in their tasks
- **Machine ID** — Stable per-worker machine identifier for grouping
metrics
- **Dev worker** — Drops `system.*` metrics to reduce noise, keeps
sending metrics between runs in warm workers
### Metrics ingestion (apps/webapp)
- **OTEL endpoint** — `otel.v1.metrics.ts` accepts OTEL metric export
requests (JSON and protobuf), converts to ClickHouse rows
- **ClickHouse schema** — `017_create_metrics_v1.sql` with 10-second
aggregation buckets, JSON attributes column, 60-day TTLs
### Query engine (internal-packages/tsql, apps/webapp)
- **Metrics query schema** — Typed columns for metric attributes
(`task_identifier`, `run_id`, `machine_name`, `worker_version`, etc.)
extracted from the JSON attributes column
- **`prettyFormat()`** — TSQL function that annotates columns with
format hints (`bytes`, `percent`, `durationSeconds`) for frontend
rendering without changing the underlying data
- **Per-schema time buckets** — Different tables can define their own
time bucket thresholds (metrics uses tighter intervals than runs)
- **AI query integration** — The AI query service knows about the
metrics table and can generate metric queries
- **Chart improvements** — Better formatting for byte values,
percentages, and durations in charts and tables
### Reference project
- **`references/hello-world/src/trigger/metrics.ts`** — 6 example tasks:
`cpu-intensive`, `memory-ramp`, `bursty-workload`, `sustained-workload`,
`concurrent-load`, `custom-metrics`
## Test plan
- [ ] Build all packages and webapp
- [ ] Start dev worker with hello-world reference project
- [ ] Run `cpu-intensive`, `memory-ramp`, and `custom-metrics` tasks
- [ ] Verify metrics in ClickHouse: `SELECT DISTINCT metric_name FROM
metrics_v1`
- [ ] Query via dashboard AI: "show me CPU utilization over time"
- [ ] Verify `prettyFormat` renders correctly in chart tooltips and
table cells
- [ ] Confirm dev worker drops `system.*` metrics but keeps `process.*`
and `nodejs.*`
For now we’re going to always add FINAL to TRQL queries for data
correctness.
In the future we will implement an automated optimization where we use
`SELECT argMax(column, _version)` and `WHERE _is_deleted = 0`. But this
is a more complex change and needs more investigation of downsides.
Summary
- Implemented metrics dashboards with a built-in dashboard and custom
dashboards
- Added a "Big number” display type
What changed
- New data format for metric layouts and saving/editing layouts
(editing, saving, cancel revert)
- QueryWidget usable on Query page and Metrics dashboards
- Time filtering, auto-reloading and timeBucket() auto-bin support
- Filters added to metrics; widget popover/improved history and blank
states
- Side menu:
- Metrics/Insights section with icons, colors, padding, collapsible
behavior and reordering of custom dashboards
- Move action logic into service for reuse and API querying; refactor
reordering for reuse
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---------
Co-authored-by: James Ritchie <james@trigger.dev>
Summary
- Query: add time limits, performance improvements, and styling updates
Changes
- Add ClickHouse output_text and error_text columns with indexes
- Automatically use _text columns for JSON based on query pattern;
support JSON column data prefixes
- Add idempotency key and scope columns
- Add enforcedWhereClause for tenant and time restrictions, instead of
the old tenant stuff.
- Implement basic time filter limiting and set default time period based
on plan; show message when results are clipped
- UX: resizable code area (including vertical splits), collapsible
sidebar, fix table/chart vertical sizing, max height for chart legend in
fullscreen
- Styling and UI tweaks: improved chart legend styling, more chart
colours, thinner line chart stroke, pricing callout color, improved
layout for callouts
- Features: generate and save AI titles
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What changed
- Upgraded recharts to 2.15.2
- Added multiple chart types and components: big number, line, stacked,
bar (including zoomable & reference line), big dataset bar, and usage
graph
- Implemented custom legend with animated values, tooltip showing x-axis
data, and hover/highlight behaviors for stacks and legend
- Added loading, no-data, and invalid chart states plus loading spinners
and improved loading animations/layout
- Storybook integration: initial charts setup, separate chart files,
alphabetized menu, chart state toggles, and story updates
- Interaction & UX improvements: zooming (drag/select), crosshair
pointer, show/select dates while zooming, prevent text selection on
drag, hide mouse wheel zoom, capped legend items, axis/legend styling
tweaks, better spacing, and min-height for charts
- Data & state handling: moved date data to route for unified zooming,
moved chartState to main Chart component, moved hard-coded/mock data out
of components, and set chart data when zooming to start/end dates
- Performance & animation: turned off/reduced chart animations, sped up
animated numbers, removed hover transitions for bars
- New UI primitives and layout: Card component, small card updates, SVG
icons, improved segmented control and popover variants, table
improvements (resizable columns, filtering, sorting, scrolling fixes)
- Various fixes and polish: tooltip style fixes, legend value updates,
hover/leave state resets, bar width fixes for small datasets,
type/import fixes, and numerous small style/typo tweaks
---------
Co-authored-by: James Ritchie <james@trigger.dev>
Don’t allow aliased columns to be queried – it was actually safe but
confusing. We call `created_at` -> `triggered_at` but we still allowed
created_at which was confusing.
Now we have nice errors if you try select columns that aren’t
selectable.
Also removed a ClickHouse setting `allow_experimental_object_type` which
worked fine locally but stopped all queries working on ClickHouse Cloud
🤦♂️
Summary
- Improve query experience and safety across ClickHouse and TSQL.
Changes
- Display JSON columns when in non-pretty mode (no longer show [Object
Object]).
- Sanitize ClickHouse errors originating from TSQL.
- Remove tenant details from errors.
- Add AI-assisted error-fixing for queries.
- Improve code quality and readability.
- Provide autocomplete support for enum values.
- Enforce limits on ClickHouse queries (10s query limit).
- Add org-level and global concurrency limits.
- Warn and train AI to avoid SELECT *; when used, only return core
columns and show info.
- If AI suggests no time range, default to past 7 days.
- Format the default query for readability.
- Add an admin-only EXPLAIN button.
- Prevent impersonation queries from being saved to history.
TRQL (pronounced Treacle like the delicious British dark sweet syrup) is
the TRiggerQueryLanguage. It allows users to safely write queries on
their data. The queries are safely turned into ClickHouse queries which
are tenant-safe and not SQL injectable.
https://github.com/user-attachments/assets/bbfca473-b3fc-4150-8fe6-79e8840a2d29
This started out as a translation of HogQL by PostHog from Python to
TypeScript.
Features
- Tenant safe queries.
- Many underlying ClickHouse features including functions and
aggregations.
- Virtual columns, which are exposed to users as real columns but are
actually expressions.
- Transformations of data types and where clauses.
- Simple JSON path querying.
- Limits on execution time.
- Reporting of query statistics.
## Query page
There’s a new Query page (currently behind a feature flag) where you can
write TRQL queries and execute them against your environment, project or
organization.
Features
- Executing TRQL queries
- Syntax highlighting and errors
- Autocomplete
- AI generation/editing of queries
- Help and examples
- Table with auto-inferred data types from the table schema
- Table cell renderers for our special types like Run ids, environments,
machines, tasks, queues, etc.
- Copy/export as CSV/JSON
- Line and bar graphs with grouping and stacking
- History of queries
Chris Arderne
