feat/cli-deploy-api-key
2 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 Eric Allam
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1cfc296c6b |
feat(ai): LLM metrics tracking and AI span inspector (#3213)
- 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> |
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Eric Allam
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469b039090 |
feat: OTEL metrics pipeline for task workers (#3061)
- 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.*` |