Build AI solutions with quality,
confidence, and safety

LangWatch provides all-in-one tooling to improve and iterate on your current models, as well as mitigating risks such as jailbreaking, sensitive data leaks and hallucinations. To create AI with confidence, create it with LangWatch.

Try for free

No more blackbox

Unlock the full story of your LLM app

Analysis and improvement

Track conversion rates, output quality, user feedback and knowledge base gaps with real-time metrics - gain constant insights for continuous improvement.

Intelligent evaluation

Powerful data evaluation allows you to evaluate new models and prompts, develop datasets for testing and run experimental simulations on tailored builds.

Robust safeguards

LangWatch’s safety checks and guardrails prevent common AI issues including jailbreaking, exposing sensitive data, and off-topic conversations.

For teams

Collaborate with your AI stakeholders.

Get started in minutes

Tracking interactions with LangWatch is incredibly easy and non-intrusive, it requires just two lines of code. Use your LLMs as always and track what you want

Works with Azure, OpenAI and other SDKs out of the box.

Be in control with real-time observability

Save engineering time with unified LLM integration and operations

Get Started

from openai import openai
import langwatch

client = OpenAI()

# Use the LangWatch tracer for the OpenAI GPT-4 Chat model
with langwatch.openai.OpenAITracer():
    completion = client.chat.completions.create(
        model="gpt-4-turbo",
        messages=[
            {
                "role": "system",
                "content": "You are a helpful assistant that only reply in short tweet-like responses, using lots of emojis.",
            },
            {
                "role": "user",
                "content": "Tell me a joke!"
            }
        ]
    )