Built on OpenSource & Open standard foundations

Giving AI teams confidence in every release

LangWatch is an LLM observability and evaluation platform.


Debug, Evaluate & Optimize your entire AI agent lifecycle with LangWatch.

Trusted by AI Startups, Agencies & Enterprises

“LangWatch has brought us the next
level observability and evaluations. The
Optimization Studio brings the kind of
progress we were hoping for as a
partner."

Lane - VP engineering - GetGenetica - Flora AI

LLM Observability

Identify, debug and resolve blindspots in you AI stack

With built-in support for OpenTelemetry, you get full visibility into prompts, variables, tool calls, and agents across major AI frameworks. No setup headaches, just faster debugging and smarter insights.

• Trace every request through your entire stack

• Visualize token usage, response time, latency and costs

• Find the root cause

• Debug complex prompt engineering issues

LangWatch’s UI-based approach allowed
us to experiment with prompts,
hyperparameters, and LLMs without
touching production code. When deeper
customization was needed, the flexibility
to dive into coding was a huge plus

Malavika Suresh. - AI Researcher, PHWL.ai

LLM Evaluations

Integrate automated LLM evaluations directly into your workflow

Run both offline and online checks with LLM-as-a-Judge and code-based tests triggered on every push. Scale evaluations in production to catch regressions early and maintain performance.

  • Detect hallucinations and factual inaccuracies

  • Measure response quality with custom evaluations

  • Compare performance across different models / prompts

  • Create feedback loops with domain experts or user-feedback for continuous improvement

LLM Monitoring

Keep your AI reliable and under control

Get real-time monitoring with automated anomaly detection, smart alerting, and root cause analysis—all without manual tuning.

• Create customizable dashboards to share with Stakeholders.

• Set up alerts for anomalies and build automatically datasets from these.

• Track metrics over time

• Generate reports for stakeholders


LangWatch’s UI-based approach allowed
us to experiment with prompts,
hyperparameters, and LLMs without
touching production code. When deeper
customization was needed, the flexibility
to dive into coding was a huge plus

Malavika Suresh. - AI Researcher, PHWL.ai

Annotations & Labelling

Get better data, faster with human-in-the-loop workflows

Combine domain expert input with smart workflows to generate high-quality annotations, catch edge cases, and fine-tune datasets for more accurate, robust AI models.

• Share findings with team members

• Collaborate on prompt improvements

• Document changes and their effects

• Automatically build datasets from Annotations

LLM Experimentations

Why writing prompts yourself when AI can do that for you?

  • DSPy optimizers to automatically find the best prompt and few shot examples for the LLMs, including MIPROv2.

  • Drag-and-drop prompting techniques: ChainOfThought, FewShotPrompting, ReAct.

  • Compatible with all LLM models, just switch and let the optimizer fix the prompts.

  • Track optimization progress with LangWatch DSPy Visualizer.

“I’ve seen a lot of LLMops tools and
LangWatch is solving a problem that
everyone building with AI will have when
going to production. The best part is
their product is so easy to use.”

Kjeld Oostra. - AI Architect, Entropical AI agency

LLMOPS for your LLM-apps

All-in one Observability & Evaluations platform

LangWatch is a complete end-to-end LLMops platform, integrated in any tech stack.


Monitor, evaluate and get business metrics from your LLM application, creating more data to iterate and measuring real ROI.


Bring your Domain Experts onboard to bring human evals an important step in your workflows.

“LangWatch didn’t just help us optimize
our AI—it fundamentally changed how
we work, now, everyone on our
team—from engineers to coaching
experts—can contribute to building a
better AI coach.”

David Nicol - CTO - Productive Healthy Work Lives

Easy Integration into any tech stack

Supports all LLMs , Model agnostic

OpenAI

Claude

Azure

Gemini

Hugging Face

Groq

Use your optimized LLM
flow as an API

Supports all LLMs

LangChain

DSPy

Vercel AI SDK

LiteLLM

OpenTelemetry

LangFlow

Guarantee AI Quality with LangWatch

quick 15 min demo

Enterprise-grade controls:
Your data, your rules

Self-hosted or Hybrid deployment

Deploy on your own infrastructure for full control over data and security, ensuring compliance with your enterprise standards. Or use the easiness of LangWatch Cloud and keep your customer data on your own premises.

Compliance

LangWatch is GDPR compliant and ISO27001 certified. For European customers, all our servers are hosted within Europe, with no 3rd party other than LLM providers, which you have full control of.

Role-based access controls

Assign specific roles and permissions to team members, ensuring the right access for the right people. Manage multiple projects and teams under the same organization.

Use your own models

& integrate via API

Integrate your custom models and leverage any API-accessible tools for maximum integration of the AI workflows with your enterprise sytems.

Frequently asked questions

How can I contribute to the project?

Why do I need AI Observability for my LLM application?

What are AI or LLM evaluations?

How does LangWatch compare to Langfuse or LangSmith?

What models and frameworks does LangWatch support?

Is LangWatch self-hosted available?

How do evaluations work in LangWatch?

How do I connect my LLM-pipelines with LangWatch?

Can I try LangWatch for free?

How does LangWatch handle Security and compliance?