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LangWatch Agent Simulations

LangWatch Agent Simulations

Agentic testing for agentic codebases

5.0•10 reviews•

1.1K followers

Agentic testing for agentic codebases

5.0•10 reviews•

1.1K followers

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LLMs
•
Testing and QA software
•
AI Metrics and Evaluation
Open-source testing platform for AI agents. Run simulations, catch regressions, and ship autonomous agents with confidence. Built for developers who treat AI like software. Agent simulations are the new unit tests
  • Overview
  • Launches3
  • Reviews10
  • Alternatives
  • Forum
  • Team
  • Awards
  • More
Company Info
langwatch.aiGitHub
LangWatch Agent Simulations Info
Launched in 2024View 3 launches
Forum
p/langwatch
Awards
LangWatch was ranked #5 of the week for April 24th, 2024
LangWatch was ranked #3 of the day for April 24th, 2024
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LangWatch Agent Simulations Launches

LangWatch Scenario - Agent Simulations
LangWatch Scenario - Agent Simulations Agentic testing for agentic codebases

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Do you use LangWatch Agent Simulations?

Forum Threads

LangWatch Agent Simulationsp/langwatchManouk Draisma
Manouk Draisma
•

4mo ago

Is there an AI quality Lead in your Dev/AI team?

Every day I speak with AI teams building with LLM-powered applications and something is changing.

I see a new role is quietly forming:

The AI Quality lead as the quality owner.

LangWatch Agent Simulationsp/langwatchManouk Draisma
Manouk Draisma
•

4mo ago

Use an Agent to test your Agent

How do you validate an AI agent that could reply in unpredictable ways?

My team and I have released Agentic Flow Testing an open-source framework where one AI agent autonomously tests another through natural language conversations. 

View all
5.0
Based on 10 reviews
Review LangWatch Agent Simulations?

LangWatch Agent Simulations is highly praised for its transformative impact on AI testing. Users appreciate its open-source nature and focus on agentic testing, which enhances confidence in deploying autonomous agents. The platform's robust simulations, intuitive API, and visualization tools streamline the testing process, while community support and regular updates reflect a commitment to improvement. Users find it valuable for output monitoring, evaluation, and production optimization, with features like jailbreak detection and document tracking. Overall, it's considered essential for serious AI development and quality assurance.

Tim SlingerlandFerdinand GoetzenSandra Rullens
+7
Summarized with AI
Reviews
Helpful

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