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

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Enterprise-ready. Proven at scale.

Stay in charge

You’ve tested your agent on a handful of scenarios manually, a great start, but real users will push it in unexpected ways, so ship with confidence using simulations, prompt/model/app versioning, rollbacks, and live tracing with dashboards

Build, ship and test 10x faster

Stop relying on internal teams to “try and break” your POC. Use thousands of simulations to stress-test your agents in minutes.

Collaboration

Work as one team. Let engineering, product, data teams, and domain experts shape prompts, review outputs, and annotate failures. Role-based workflows. Building reliable AI is a collaborative process

Enterprise commitment

All sensitive data remains inside your environment, cloud, VPC, or on-prem. RBAC/custom SSO/audit logs, data residency options, and on-prem deployments so security and compliance will say yes!

Maximum control of your LLM-apps and AI agents

Maximum control of your LLM-apps and AI agents

Gain full control over every step in your AI pipeline, inputs, outputs, intermediate calls, and decisions.


Trace, debug, and optimize model behavior, tool invocations, and agent reasoning with precision. Troubleshoot faster, ship with confidence.

LLM Observability Workflow

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import langwatch

langwatch.setup(
instrumentors=[AIInstrumentor()]
)

@langwatch.trace()
def main():
...

How it works

Complete LLMops platform - from POC to Prod reliably

Scenario's - Agent Simulations

Agent simulations let you pressure-test your agent across hundreds of realistic scenarios—far beyond what manual checks can cover, so failures surface before users ever see them

LLM Evaluations

Debugging and Observability

Prompt Management & DSPy

Opentelemetry SDK

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script: [

user("help me with billing"),
agent("Sure, how can I help?"),
user(),

agent(),
(state) => expect(

state.hasToolCall("get_billing_details")

).toBe(true),
judge(),
],

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script: [

user("help me with billing"),
agent("Sure, how can I help?"),
user(),

agent(),
(state) => expect(

state.hasToolCall("get_billing_details")

).toBe(true),
judge(),
],

Enterprise-grade security for mission-critical AI

Enterprise-grade security for mission-critical AI

Role-based access control, org, project and user-level

On-premise and exclusive data instances

Model Agnostic; Whether it's open or closed source.

SOC2, ISO certified, highest security standards

Framework Flexible

Seamless integration in your enterprise tech stack

Seamless integration in your enterprise tech stack

OpenTelemetry native

Strong integrations with all hyper-scalers, AWS BedRock, Microsoft Azure, Google ADK and more..

Self-Hosting incl architecture guiding, onboarding and support.

No data lock-in, export any data you need and interop with the rest of your stack

python

Typescript Logo

Typescript

uv add langwatch

python

Typescript Logo

Typescript

uv add langwatch

LangChain
DSPy
Agno
Mastra
CrewAI
Langflow
n8n

python

Typescript Logo

Typescript

uv add langwatch

LangChain
DSPy
Agno
Mastra
CrewAI
Langflow
n8n

How it works

Complete LLMops platform - from POC to Prod reliably

Scenario's - Agent Simulations

Agent simulations let you pressure-test your agent across hundreds of realistic scenarios—far beyond what manual checks can cover, so failures surface before users ever see them

LLM Evaluations

Debugging and Observability

Prompt Management & DSPy

Opentelemetry SDK

Scenario's - Agent Simulations

Agent simulations let you pressure-test your agent across hundreds of realistic scenarios—far beyond what manual checks can cover, so failures surface before users ever see them

LLM Evaluations

Debugging and Observability

Prompt Management & DSPy

Opentelemetry SDK

Scenario's - Agent Simulations

Agent simulations let you pressure-test your agent across hundreds of realistic scenarios—far beyond what manual checks can cover, so failures surface before users ever see them

LLM Evaluations

Debugging and Observability

Prompt Management & DSPy

Opentelemetry SDK

Scenario's - Agent Simulations

Agent simulations let you pressure-test your agent across hundreds of realistic scenarios—far beyond what manual checks can cover, so failures surface before users ever see them

LLM Evaluations

Debugging and Observability

Prompt Management & DSPy

Opentelemetry SDK

How it works


Complete LLMops platform -
from POC to Prod reliably

Control and ship your AI Agents

Learn how enterprise AI teams deploy AI with confidence at scale.

Control and ship your AI Agents

Learn how enterprise AI teams deploy AI with confidence at scale.

Control and ship your AI Agents

Learn how enterprise AI teams deploy AI with confidence at scale.