Order Cancellation Request

Pass

Billing Dispute

Pass

Product Return Inquiry

Pass

Payment Method Update

Pass

Order Status Inquiry

Pass

Gift Card Balance

Pass

Product Defect Report

Pass

Shipping Delay Complaint

Pass

Loyality Points Query

Fail

Order Cancellation Request

Pass

Billing Dispute

Pass

Product Return Inquiry

Pass

Payment Method Update

Pass

Order Status Inquiry

Pass

Gift Card Balance

Pass

Product Defect Report

Pass

Shipping Delay Complaint

Pass

Loyality Points Query

Fail

Trusted by AI innovators & global enterprises

Trusted by AI innovators & global enterprises

Trusted by AI innovators & global enterprises

Amit Huli

Amit Huli

Head of AI - Roojoom

When I saw LangWatch for the first time, it reminded me of how we used to evaluate models in classic machine learning. I knew this was exactly what we needed to maintain our high standards at enterprise scale"

Amit Huli

Amit Huli

Amit Huli

Head of AI - Roojoom

When I saw LangWatch for the first time, it reminded me of how we used to evaluate models in classic machine learning. I knew this was exactly what we needed to maintain our high standards at enterprise scale"

Amit Huli

Amit Huli

Amit Huli

Head of AI - Roojoom

When I saw LangWatch for the first time, it reminded me of how we used to evaluate models in classic machine learning. I knew this was exactly what we needed to maintain our high standards at enterprise scale"

Amit Huli

Test agents with realistic
user simulations

Test agents with realistic
user simulations

Simulated users behave like real customers

We chat with your agent to generate test cases.

Uncover edge cases that manual testing misses

Use scripts, randomness, and adversarial probing to expose unexpected agent behavior.

Catch regressions and understand failures

Automatically detect what changed, what failed, and why, on every agent update or prompt revision.

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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(),
],

Manage your AI Agents

Simulation & evals for AI agents, from chat to voice.

CI/CD

Execute agent simulations directly from your local machine or CI/CD pipeline

Framework agnostic

Combine LangWatch with any LLM eval framework or custom evals

Designed for collaboration

Collaborate with product managers and domain experts to build scenarios and evals

Scripted simulations

Define specific flows and expected outcomes to test critical agent behaviors

Simple integration

Integrate your Agent by implementing just one call() method

Visualized conversation

Identify failure points and understand interaction patterns during testing

Multi-turn control

Pause, evaluate, and annotate agent responses during simulated conversations

Multiple response format support

Handle agent responses in any format without additional parsing or conversion

Full debugging

Identify exactly where and why agent interactions failed during testing

How LangWatch Scenario works

How LangWatch Scenario works

Test your agents and prevent regressions

AI Agent Testing

Simulate edge cases

Replicate edge cases with scripted simulations to prevent regressions. Discover new edge cases with auto-pilot (simulated-user) runs.

AI Agent Testing

Simulate edge cases

Replicate edge cases with scripted simulations to prevent regressions. Discover new edge cases with auto-pilot (simulated-user) runs.

AI Agent Testing

Simulate edge cases

Replicate edge cases with scripted simulations to prevent regressions. Discover new edge cases with auto-pilot (simulated-user) runs.

Voice AI Agent Testing

Seamlessly integrate Agent testing in your CI/CD Integration

Plug into your existing pipeline to catch issues before deployment.

Voice AI Agent Testing

Seamlessly integrate Agent testing in your CI/CD Integration

Plug into your existing pipeline to catch issues before deployment.

Voice AI Agent Testing

Seamlessly integrate Agent testing in your CI/CD Integration

Plug into your existing pipeline to catch issues before deployment.

Image-Only Analysis

Validate complex Scenarios with Multimodal & Multi-turn Testing

Ensure correct tool use across long dialogues and varied inputs.

Image-Only Analysis

Validate complex Scenarios with Multimodal & Multi-turn Testing

Ensure correct tool use across long dialogues and varied inputs.

Image-Only Analysis

Validate complex Scenarios with Multimodal & Multi-turn Testing

Ensure correct tool use across long dialogues and varied inputs.

Adversarial multilingual testing

Harden your Agents with adversarial attacks

Stress-test your agents with edge-case prompts and malicious inputs.

Adversarial multilingual testing

Harden your Agents with adversarial attacks

Stress-test your agents with edge-case prompts and malicious inputs.

Adversarial multilingual testing

Harden your Agents with adversarial attacks

Stress-test your agents with edge-case prompts and malicious inputs.

python

Typescript Logo

Typescript

uv add langwatch-scenario

python

Typescript Logo

Typescript

uv add langwatch-scenario

LangChain
DSPy
Agno
Mastra
CrewAI
Langflow
n8n

python

Typescript Logo

Typescript

uv add langwatch-scenario

LangChain
DSPy
Agno
Mastra
CrewAI
Langflow
n8n

Works with any LLM app, agent framework, or model

Works with any LLM app, agent framework, or model

OpenTelemetry native, integrates with all LLMs & AI agent frameworks

Evaluations and Agent Simulations running on your existing testing infra

Fully open-source; run locally or self-host

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

From unit tests to full agent evaluations

From unit tests to full agent evaluations

LangWatch is more than just test scenario. It’s a complete evaluation platform:

LLM-as-judge or custom evals (tone, helpfulness, accuracy)

Visual diffing to catch subtle behavioral regressions

Fully open-source; run locally or self-host

Fits in CI workflows

Does not require a dataset to get started

From Agent Testing to Prompt Optimization

Automatically tune prompts, selectors, and agents based on evaluation feedback.

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.