🧪 Agentic Flow Testing

🧪 Agentic Flow Testing

🧪 Agentic Flow Testing


Let AI Test AI — Automatically.

Meet LangWatch’s newest feature: Agentic Flow Testing, a powerful way to automate your AI’s quality assurance. Using AI agents to test other AI agents through open-ended conversations, you can now simulate real-world scenarios without writing a single line of test dialogue.

LangWatch's Evaluations framework makes it easy to measure the quality of your AI products at scale. Confidently iterate on your AI products and quickly determine whether they’re improving or regressing.

"It’s like giving your AI its own QA engineer — one that never sleeps, never misses a detail, and never lets bugs slip through the cracks."

"It’s like giving your AI its own QA engineer — one that never sleeps, never misses a detail, and never lets bugs slip through the cracks."

"It’s like giving your AI its own QA engineer — one that never sleeps, never misses a detail, and never lets bugs slip through the cracks."

Elara Voss - CTO @ Synterra AI

Elara Voss - CTO @ Synterra AI

Agents Testing Agents: Why it matters

Modern AI systems don’t always behave predictably. One minute they’re brilliant, the next they’re... weird. Traditional tests can’t cover it all.

Agentic Testing changes the game by letting two AI agents interact:

  • One acts as the Tester (challenger, edge-case generator, adversary).

  • The other is your AI Agent under test.

  • They chat autonomously until the goal is met — or something breaks.

The result? You uncover blind spots, verify critical behaviors, and ship AI features with confidence.

How it works

Define a Scenario:

Set the tester agent’s persona (e.g. frustrated user, malicious actor, etc.)
Set success criteria (e.g. safe refusal, on-brand answer, accurate info).

  1. Start the conversation
    The tester agent challenges your AI in natural, unscripted dialogue.
    Conversations flow freely — just like in production.

  2. Get structured results
    Pass/fail verdict
    Full transcript
    Built-in grading, safety flags, behavior checks

All done autonomously, repeatable, and CI/CD-ready.

Define a Scenario:

Set the tester agent’s persona (e.g. frustrated user, malicious actor, etc.)
Set success criteria (e.g. safe refusal, on-brand answer, accurate info).

  1. Start the conversation
    The tester agent challenges your AI in natural, unscripted dialogue.
    Conversations flow freely — just like in production.

  2. Get structured results
    Pass/fail verdict
    Full transcript
    Built-in grading, safety flags, behavior checks

All done autonomously, repeatable, and CI/CD-ready.

Smarter QA for smarter AI

With LangWatch’s Agentic Flow Testing;

You don’t just catch bugs — you understand behavior.

You build trust

You ship with peace of mind

Say goodbye to blind spots

Say hello to autonomous AI quality assurance

Smarter QA for smarter AI

With LangWatch’s Agentic Flow Testing;

You don’t just catch bugs — you understand behavior.

You build trust

You ship with peace of mind

Say goodbye to blind spots

Say hello to autonomous AI quality assurance

Smarter QA for smarter AI

With LangWatch’s Agentic Flow Testing;

You don’t just catch bugs — you understand behavior.

You build trust

You ship with peace of mind

Say goodbye to blind spots

Say hello to autonomous AI quality assurance

Boost your LLM's performance today

Get up and running with LangWatch in as little as 10 minutes.

Boost your LLM's performance today

Get up and running with LangWatch in as little as 10 minutes.

Boost your LLM's performance today

Get up and running with LangWatch in as little as 10 minutes.