LangSmith vs Trigger.dev

LangSmith

Trigger.dev

LangSmith · 14 features

• Alerts — Threshold alerts on latency, cost, eval metrics.
• Annotation Queues — Human-review workflows for trace quality rating.
• Custom Dashboards — Aggregate metrics dashboards per project/tag.
• Datasets — Collect examples → use as eval sets or training data.
• Evaluations — LLM-as-judge, embedding similarity, custom Python evaluators, offline batch eval…
• LangChain Integration — Auto-trace any LangChain/LangGraph run with env var.
• LangGraph Integration — First-class trace + eval for LangGraph agents.
• LLM Tracing — Automatic trace every LLM call + tool call + chain step.
• OpenTelemetry Export — Export traces as OTLP to Datadog/Honeycomb/etc.
• Playground — Test prompts + models inline before deploying.
• Prompt Canvas — Visual prompt editor with live test + eval.
• Prompt Hub — Public + private prompt library with versioning.
• Self-Hosted (Enterprise) — Docker + k8s deployment in your infra.
• Threads + Sessions — Group traces into conversational sessions.

Trigger.dev · 13 features

• Batch Trigger — Trigger many runs at once with limits.
• Environment Variables — Manage secrets in dashboard.
• Idempotency Keys — Prevent duplicate runs.
• Machine Sizing — Pick CPU/RAM per task.
• Queues + Concurrency — Named queues for controlled throughput.
• Realtime + React Hooks — Subscribe to run progress from client.
• Retries — Exponential + custom strategies.
• Schedules — Cron-triggered runs.
• Self-Hosting — Run locally or on your infra.
• Subtasks + triggerAndWait — Compose tasks by triggering children.
• Task Metadata — Attach arbitrary metadata to runs.
• Tasks — Define long-running TS tasks.
• wait.for / wait.until — Durable waits — minutes, hours, days.