Loops vs LangSmith

Loops

LangSmith

Loops · 12 features

• API Keys — Scoped keys for testing vs production.
• Audiences (Segments) — Filter contacts by properties + event behavior.
• Campaign Analytics — Open/click/unsubscribe rates, heatmaps, A/B significance.
• Campaigns — One-off broadcasts to audience segments. Schedule + A/B test subject.
• Contacts — Contact records with custom properties (strings, numbers, booleans, dates).
• Email Editor — Visual block-based + Markdown + HTML modes.
• Events — Send events to trigger loops/journeys or filter audiences.
• Loops (Automations) — Event-triggered automation flows with delays + conditions.
• Mailing Lists — Opt-in lists with subscribe/unsubscribe preferences per list.
• Template Library — Pre-built templates for SaaS use cases (onboarding, digest, launch).
• Transactional API — Send transactional emails (receipts, password resets) via /transactional endpoin…
• Webhooks — Subscribe to contact/event changes.

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.