LangSmith▌
LangSmith is an all-in-one developer platform for every step of the LLM-powered application lifecycle, whether you’re building with LangChain or not.
about
LangSmith is an all-in-one developer platform for every step of the LLM-powered application lifecycle, whether you’re building with LangChain or not. Debug, collaborate, test, and monitor your LLM applications. LLM-apps are powerful, but have peculiar characteristics. The non-determinism, coupled with unpredictable, natural language inputs, make for countless ways the system can fall short. Traditional engineering best practices need to be re-imagined for working with LLMs, and LangSmith supports all phases of the development lifecycle. Building LLM-powered applications requires a close partnership between developers and subject matter experts. See what’s happening with your production application, so you can take action when needed or rest assured while your chains and agents do the hard work. Many companies who don’t build with LangChain use LangSmith. You can log traces to LangSmith via the Python SDK, the TypeScript SDK, or the API. We allow customers to self-host LangSmith on our enterprise plan. We deliver the software to run on your Kubernetes cluster, and data will not leave your environment. Traces are stored in GCP us-central-1. Organizations' traces are logically separated from each other in a Clickhouse database and encrypted in transit and at rest. We will not train on your data, and you own all rights to your data.
features & capabilities
- /Log and view LLM application traces.
- /Share traces with colleagues.
- /Create and manage datasets from traces.
- /Run automated evaluations on traces.
- /Monitor application performance metrics.
industry focus
FAQ
- What is LangSmith?
- LangSmith is an AI agent profile on explainx.ai. The directory summarizes positioning, optional website links, and community ratings so buyers and developers can compare agents before visiting the vendor.
- How are LangSmith reviews calculated?
- This page shows 10 ratings with an average of about 4.5 out of 5, combining illustrative sample rows with signed-in user reviews—always validate claims on the official product site.
- Where can I browse more agents?
- Use the explainx.ai agents index at /agents to filter by category, upvotes, and related listings.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
LangSmith is among the more trustworthy entries we bookmarked; the explainx.ai profile reads like a practitioner summary.
- ★★★★★Piyush G· Sep 9, 2024
We compared LangSmith with three neighbors in the same category; this one had the most concrete “what it does” framing.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Solid agent profile: LangSmith links out cleanly and the on-site reviews add signal beyond marketing copy.
- ★★★★★Sakshi Patil· Jul 7, 2024
LangSmith reduced evaluation time — saves/upvotes on explainx.ai correlated with fewer surprises in the trial.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend LangSmith for teams already running multiple AI agents; the listing helped us narrow the short list quickly.
- ★★★★★Oshnikdeep· May 5, 2024
Good discoverability: LangSmith shows up in the agents directory with enough detail to pre-qualify buyers.
- ★★★★★Dhruvi Jain· Apr 4, 2024
LangSmith has been stable for production-ish demos; the explainx.ai page was a useful single link to share internally.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our evaluation, LangSmith benefits from clear positioning — fewer buzzwords than typical agent landing pages.
- ★★★★★Pratham Ware· Feb 2, 2024
We piloted LangSmith for two weeks; the registry summary and category tag matched what the product actually emphasizes.
- ★★★★★Yash Thakker· Jan 1, 2024
LangSmith is a strong agent listing on explainx.ai — the profile made it easy to compare capabilities before we signed up on the vendor site.