LangSmith
UnclaimedDebug, monitor, and optimize your LLM applications and AI agents with comprehensive observability.
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What is LangSmith?
LangSmith (real-time analytics): Debug, monitor, and optimize your LLM applications and AI agents with comprehensive observability. LangSmith is an observability platform designed to help teams build and ship reliable AI agents and LLM applications. It provides robust tracing capabilities to quickly debug non-deterministic LLM app behavior, allowing developers to see step-by-step what their agent is doing and fix issues to improve latency and response quality. Key capabilities: Agent tracing for step-by-step debugging of LLM applications, Live dashboards for monitoring costs, latency, and response quality, Alerts for critical business metrics, Automatic discovery and clustering of similar conversations (Insights Agent), Support for any framework, including LangChain and LangGraph. LangSmith ships a free plan plus paid tiers that unlock as usage grows. Buyers most often compare LangSmith against SigNoz, Axiom, New Relic.
TL;DR - LangSmith
- Debug LLM applications with detailed agent tracing.
- Monitor key business metrics with live dashboards and alerts.
- Automatically discover usage patterns and systemic issues.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Provides deep visibility into non-deterministic LLM behavior
- Helps improve application performance and response quality
- Offers comprehensive monitoring and alerting capabilities
- Identifies systemic issues and user needs automatically
- Flexible integration with various frameworks and OTel
Cons
- Specific pricing details require visiting a separate page
- Self-hosting is only available on the enterprise plan
- Requires some setup (e.g., environment variables) to get started
Preview
Key Features
Agent tracing for step-by-step debugging of LLM applicationsLive dashboards for monitoring costs, latency, and response qualityAlerts for critical business metricsAutomatic discovery and clustering of similar conversations (Insights Agent)Support for any framework, including LangChain and LangGraphOpenTelemetry (OTel) support for unified observabilitySelf-hosting option for enterprise plansNo added latency to applications
Pricing
Freemium
LangSmith offers a generous free tier with optional paid upgrades for advanced features.
About LangSmith
By Toolradar Team·
LangSmith is an observability platform designed to help teams build and ship reliable AI agents and LLM applications. It provides robust tracing capabilities to quickly debug non-deterministic LLM app behavior, allowing developers to see step-by-step what their agent is doing and fix issues to improve latency and response quality.
The platform also offers live dashboards for monitoring business-critical metrics such as costs, latency, and response quality, with alerting features to notify users of issues and enable drilling down to root causes. Furthermore, LangSmith automatically discovers usage patterns and issues by clustering similar conversations, helping users understand what their users want and identify systemic problems. It integrates seamlessly with various frameworks, including LangChain and LangGraph, and supports OpenTelemetry for unified observability.
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Keywords AIFreemium
The AI gateway with built-in observability for LLM applications.
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LangSmith FAQ
What is LangSmith?
LangSmith is an observability platform that helps teams debug, monitor, and improve their LLM applications and AI agents through features like agent tracing, live dashboards for metrics, and automatic discovery of usage patterns and issues.
How much does LangSmith cost?
LangSmith offers a free tier to get started. For more detailed pricing information and to find a plan that works for you, you need to visit their pricing page. They operate on a pay-as-you-go model for usage.
Is LangSmith free?
Yes, you can sign up for free to get started with LangSmith. They offer a free tier, and you only pay for what you use across all plan types.
Who is LangSmith for?
LangSmith is for teams and developers building and deploying AI agents and LLM applications who need to ensure reliability, debug non-deterministic behavior, monitor performance metrics, and understand user interactions.
Source: langsmith.com