LangSmith vs Inngest

LangSmith

Inngest

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.

Inngest · 14 features

• AgentKit — Build AI agents as durable Inngest functions.
• Auto Retries — Configurable retries with exponential backoff.
• Concurrency Controls — Per-function and per-user concurrency limits.
• Cron Triggers — Scheduled functions via cron syntax.
• Debounce — Coalesce rapid-fire events into one execution.
• Dev Server — Local Inngest runtime for dev.
• Durable Steps — step.run, step.sleep, step.waitForEvent.
• Event System — Typed events with schemas.
• Fan Out / Batching — Process many events in parallel with batch control.
• Priority Lanes — Route premium customers to faster execution.
• Rate Limiting — Throttle events per key.
• Realtime — Stream function output to clients.
• Replay — Re-run past functions with new code.
• Self-Host — OSS runtime — run your own Inngest.