Pusher vs LangSmith

Pusher

LangSmith

Pusher · 11 features

• Beams — Push notifications for iOS/Android/Web with device interest groups.
• Beams Authenticated Users — Target users by auth user ID across devices.
• Channels — WebSocket pub/sub — realtime events, live updates, notifications.
• Channels Webhooks — Receive server-side notifications of channel activity.
• Client Events — Publish events from clients directly (triggered from browser).
• Debug Console — Live channel debugging dashboard.
• Encrypted Channels — End-to-end encrypted messages.
• Global Clusters — US, EU, AP-Southeast, etc. Pick nearest region.
• Presence Channels — Track who is online in a channel.
• Private Channels — Auth-required channels with server-signed tokens.
• Stats — Connection / message dashboards.

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.