Join 1000's of AI developers using LangWatch to ship complex AI reliably

Join 1000's of AI developers using LangWatch to ship complex AI reliably

Join 1000's of AI developers using LangWatch to ship complex AI reliably

How LangWatch compares to Langfuse

LangWatch Logo
LangWatch Logo

Agent simulation testing

Simulated agent testing validates complex multi-modal scenarios, tool interactions, and multi-step reasoning workflows beyond basic prompt-response evaluations across production environments.

Native OpenTelemetry integration

Built-in OpenTelemetry support provides standardized tracing across all frameworks without additional configuration or setup complexity.

Platform and code collaboration

Flexible collaboration model where domain experts can build scenarios through a platform interface while developers can build complex workflows via API and SDK.

Automated prompt optimization

DSPy integration includes complete prompt management using techniques like MIPROv2, ChainOfThought, and few-shot learning with connection to GitHub.

Technical and user analytics

Complete analytics stack with technical metrics (traces, cost, latency) and user behavior analytics like conversion funnels, session patterns, and product usage insights.

Langfuse Logo
Langfuse Logo
Langfuse Logo

Basic evals

Langfuse started as a tracing and logging tool. It’s great for capturing what happened, but not for advanced evaluations.

OpenTelemetry backend support

Functions as an OpenTelemetry backend requiring manual property mapping and more for proper trace visualization and data model alignment.

Good for dev's not for teams

Built for devs. Cannot onboard non-technical teammates: product managers, domain experts…



Not suited for high-velocity teams

Running multiple Experiments and comparing iterations should be integrated with your stack and easy to work with. With LangWatch it is.


Only technical metrics

Technical observability with detailed trace analysis, cost tracking, and performance metrics but limited user behavior analytics and product conversion insights.

What makes LangWatch different?

What makes LangWatch different?

Agent simulations

Agent simulations

Enterprise-grade agent simulation testing, validating multi-step workflows and tool use to ensure realistic scenarios are tested before production with true release confidence.

Voice AI Agent Testing

DSPy native

DSPy integration automatically optimizes prompts through systematic generation and testing, eliminating manual iteration cycles otherwise required for performance improvement.

Voice AI Agent Testing

DSPy native

DSPy integration automatically optimizes prompts through systematic generation and testing, eliminating manual iteration cycles otherwise required for performance improvement.

Voice AI Agent Testing

DSPy native

DSPy integration automatically optimizes prompts through systematic generation and testing, eliminating manual iteration cycles otherwise required for performance improvement.

AI Agent Testing

Collaboration with PMs, domain experts, and devs

LangWatch bridges domain experts and developers, enabling shared scenario design and workflow building for aligned, enterprise-ready QA.

AI Agent Testing

Collaboration with PMs, domain experts, and devs

LangWatch bridges domain experts and developers, enabling shared scenario design and workflow building for aligned, enterprise-ready QA.

AI Agent Testing

Collaboration with PMs, domain experts, and devs

LangWatch bridges domain experts and developers, enabling shared scenario design and workflow building for aligned, enterprise-ready QA.

Discover LangWatch

Try LangWatch yourself or book some time with an expert to help you get set up.

Ship agents with confidence, not crossed fingers

Get up and running with LangWatch in as little as 5 minutes.

Ship agents with confidence, not crossed fingers

Get up and running with LangWatch in as little as 5 minutes.

Ship agents with confidence, not crossed fingers

Get up and running with LangWatch in as little as 5 minutes.