LangSmith

A comprehensive platform offering observability, evaluation, and debugging tools for building and optimizing large language model (LLM) applications.

4.8 (5)

Értékelte Daniel Nikulshyn·Frissítve 2026. május

Observability Evaluation AI Infrastructure LLM Ops Debugging Developer Tools Monitoring

Áttekintés

LangSmith — A comprehensive platform offering observability, evaluation, and debugging tools for building and optimizing large language model (LLM) applications.

Felhasználási esetek

Debug LLM Application Traces

Inspect detailed execution traces of LLM chains and agents to identify failures, latency bottlenecks, and unexpected outputs during development.

Evaluate Model Performance

Run evaluations on LLM outputs against test datasets to measure quality, accuracy, and regressions before shipping changes to production.

Monitor Production LLM Apps

Track real-time performance, usage, and errors of deployed LLM applications to maintain reliability and quickly diagnose issues.

Optimize Prompt Engineering

Iterate on prompts and compare versions using observability data and evaluation metrics to improve LLM application outcomes.

Értékelések

4.8

Átlag 5 értékelésből.

Jelentkezz be értékelés írásához.

Hannah Goldberg

Use it every day

Honestly didn't expect to like it this much. The automation is exactly what I needed, and the value for money is strong. I do wish the mobile experience lags, but I reach for it almost every day now and it just clicks.

Jamal Carter

Use it every day

Honestly didn't expect to like it this much. The dashboard is exactly what I needed, and support is responsive. I do wish the mobile experience lags, but I reach for it almost every day now and it just clicks.

Sanjay Gupta

Years in this space

I've evaluated a lot of these over the years. What stands out here is the integrations — handled better than most — and support is responsive. Worth the time if this is your use case.

Beatriz Costa

Years in this space

I've evaluated a lot of these over the years. What stands out here is the onboarding — handled better than most — and the value for money is strong. Pricing gets steep at scale is my one real gripe. Worth the time if this is your use case.

Kwame Mensah

Solid for our team

We rolled this out across the team last quarter and the value for money is strong. The onboarding fits neatly into how we already work, and the API removed a step we used to do by hand. The docs could be deeper, which is the main caveat, but it has held up under daily use.