LangSmith vs AssemblyAI

LangSmith

AssemblyAI

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.

AssemblyAI · 11 features

• Advanced Prompting — Streaming with disfluency + code-switching + realtime diarization.
• Audio Intelligence — Sentiment, topic detection, summarization, entity detection, content safety, IAB…
• Auto Punctuation — Smart capitalization + punctuation.
• Keyterm Prompting — Boost accuracy for domain vocabulary.
• LeMUR (LLM framework) — Run LLMs over transcripts: Q&A, summary, action items.
• Medical Mode — Specialized for clinical + medical vocabulary.
• PII Redaction — Auto-redact credit cards, SSNs, addresses, emails.
• Pre-recorded Transcription — Upload audio/video URL or file → transcript.
• Realtime Streaming — WebSocket-based low-latency STT.
• Speaker Diarization — Identify who spoke when.
• Webhooks — Auto-notify when transcription finishes.