AI AGENT testing

Enterprise-grade testing for production AI agents

Test your AI agents with the same confidence you test your code. Integrated with your existing workflow.

Evaluations Wizard interface showing test creation and results
Evaluations Wizard interface showing test creation and results

Trusted by AI innovators and global enterprises

Trusted by AI innovators and global enterprises

Trusted by AI innovators and global enterprises

Ship agents faster with developer-first testing

Deploy autonomous agents with testing discipline that satisfies both technical teams and executive stakeholders.

User simulated agent testing

User simulated
agent testing

Universal integration

Universal
integration

User-friendly platform

Offline Evaluation

CI/CD

CI/CD

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

Framework agnostic

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

Collaborate with domain experts to build scenarios and evals

Scripted simulations

Scripted
simulations

Define specific flows and expected outcomes to test critical agent behaviors

Simple integration

Simple
integration

Integrate your Agent by implementing just one call() method

Visualized agent conversations

Identify failure points and understand interaction patterns during testing

Multi-turn control

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

Full
debugging

Identify exactly where and why agent interactions failed during testing

Identify exactly where
and why agent interactions failed during agent
testing

Real-time Evaluation

Custom Evaluators

Test agents with realistic

user simulations

Test agents with realistic user simulations

Instead of manually testing conversations or writing rigid input-output tests, simulated users interact naturally with your agents, testing edge cases and scenarios you might not consider.

  • Simulated users behave like real customers with natural language

  • Automatically tests complex multi-turn conversations

  • Catches edge cases manual testing misses

Test agents across any 

LLM provider or framework

Test agents across any

LLM provider or framework

LangWatch integrates with all major LLM providers and agent frameworks through standardized APIs and a framework agnostic protocol. Test agents regardless of your underlying infrastructure.

  • Works with OpenAI, Anthropic, Google, and local models

  • Supports LangGraph, CrewAI, AutoGen, and custom frameworks

  • Single API for testing across different providers

Visual debugging makes agent simulations actionable

Watch simulated conversations unfold in real-time to identify exactly where your agent fails and understand the complete interaction flow.

  • See conversation flows as they happen

  • Debug failed interactions step-by-step

  • Share results with non-technical stakeholders

  • Export conversation logs for analysis

Let domain experts test &

annotate LLMs from an
user-friendly UI

Let domain experts test &

annotate LLMs from an user-friendly UI

Add domain expert input to your 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