LLM Observability

Full visibility into your
LLM application stack

Full visibility into your LLM application stack

Full visibility into your LLM application stack

Understand, debug, and optimize your LLM applications with LangWatch—your all-in-one observability and evaluation platform.

Get actionable insights to improve performance, catch failures before they impact users, and optimize your AI investments.

LLM Observability Dashboard showing traces and metrics
LLM Observability Dashboard showing traces and metrics
LLM Observability Dashboard showing traces and metrics
LLM Observability Dashboard showing traces and metrics
LLM Observability Dashboard showing traces and metrics

Engineers who love to work with LangWatch

Engineers who love to work with LangWatch

Engineers who love to work with LangWatch

LLM metrics built for AI Engineers & Product Teams

Monitor what matters with LangWatch's extensive LLM observability metrics

Prompt & response tracing

Capture the full lifecycle of every LLM call, including inputs, outputs, retries, and context variables.

Metadata-Rich Logs

Attach user IDs, session context, features used, or any custom metadata for deeper filtering and analysis.

Latency & error tracking

Understand performance bottlenecks, slow generations, and model failures—across all environments.

Error Tracking

Identify and analyze failures and rate-limiting issues

Token Usage

Track input and output tokens across models and requests

User Journey Mapping

Follow how users interact with your LLM applications. In-depth user-analytics, export Analytics via API to anywhere.

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Trace and debug your agent with easy

Visualize your multi-step LLM interactions, log requests in real-time and pinpoint root cause of errors.

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Complete observability for your AI applications

LangWatch provides seamless monitoring and debugging tools for your entire LLM stack

Trace LLM Calls

Full visibility
into LLM calls

Full visibility
into LLM calls

Open the blackbox: Track inputs, outputs, latency, tokens, cost, and metadata across your entire LLM pipeline. Get started with setting up your traces.

Analyze LLM performance

Real-time
analytics

Real-time
analytics

Identify exactly where issues arise with a full stack trace and control flow visualization of your AI products. Monitor latency, and ensure optimal throughput. Setup custom Dashboards to view the performance and act on it.

Triggers and alerts

LangWatch lets you define trigger conditions to flag anomalies, failed evaluations, or specific patterns—helping you automate monitoring and improve GenAI reliability in real-time.

Seamless integration accross platforms

Framework
agnostic

Framework
agnostic

LangWatch works with any LLM framework - LangChain, DSPy, direct API calls, and custom implementations. Integrate our Python SDK, Typescript SDK, via OpenTelemetry or RestAPI. New model available on the market? Immediately available via LiteLLM on LangWatch.