Robot Framework AI Agent Datadriver

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Robot Framework AI Agent Datadriver is a plugin that integrates OpenAI-powered AI agents with Robot Framework, enabling automated test data generation and dynamic test case creation. It transforms static data-driven suites into intelligent workflows by using language models to generate input values, validate outputs, and produce edge case scenarios. The plugin supports CSV, Excel, and JSON data sources to streamline test automation and data management.
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Robot Framework AI Agent Datadriver

Robot Framework AI Agent Datadriver

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Robot Framework AI Agent Datadriver
Robot Framework AI Agent Datadriver is a plugin that integrates OpenAI-powered AI agents with Robot Framework, enabling automated test data generation and dynamic test case creation. It transforms static data-driven suites into intelligent workflows by using language models to generate input values, validate outputs, and produce edge case scenarios. The plugin supports CSV, Excel, and JSON data sources to streamline test automation and data management.
Added on:
Social & Email:
Platform:
May 15 2025
--
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What is Robot Framework AI Agent Datadriver?

Robot Framework AI Agent Datadriver is an open-source extension for Robot Framework that leverages large language models to automate and enhance data-driven testing. By integrating with OpenAI’s API, the plugin can generate diverse input sets, create edge case scenarios, and validate outputs on the fly. Test engineers define test templates using standard Robot Framework syntax and the DataDriver library; the AI Agent analyzes prompts and data schemas to produce rich test parameters. This approach reduces manual data preparation, accelerates test development, and improves overall coverage and accuracy for functional and regression testing suites.

Who will use Robot Framework AI Agent Datadriver?

  • QA Engineers
  • Test Automation Engineers
  • Software Developers
  • DevOps Teams
  • Test Managers

How to use the Robot Framework AI Agent Datadriver?

  • Step1: Install the plugin with ‘pip install robotframework-ai-agent-datadriver’.
  • Step2: Configure your OpenAI API key in a properties file or environment variable.
  • Step3: Define your test cases using Robot Framework and include DataDriver settings.
  • Step4: Add AI Agent keywords to enable automatic data generation.
  • Step5: Run your test suite; the AI Agent generates and injects test data dynamically.
  • Step6: Review test reports, refine prompts, and regenerate data as needed.

Platform

  • mac
  • windows
  • linux

Robot Framework AI Agent Datadriver's Core Features & Benefits

The Core Features

  • AI-powered test data generation
  • Dynamic test case creation
  • Support for CSV, Excel & JSON data sources
  • Integration with OpenAI API
  • Edge case scenario generation
  • Output validation and reporting

The Benefits

  • Accelerates test development
  • Improves test coverage
  • Reduces manual data creation
  • Enhances test reliability
  • Streamlines data-driven workflows

Robot Framework AI Agent Datadriver's Main Use Cases & Applications

  • Generating diverse input sets for functional testing
  • Automated creation of edge case scenarios
  • Dynamic regression test suite maintenance
  • AI-assisted requirement validation

FAQs of Robot Framework AI Agent Datadriver

Robot Framework AI Agent Datadriver Company Information

Robot Framework AI Agent Datadriver Reviews

5/5
Do You Recommend Robot Framework AI Agent Datadriver? Leave a Comment Below!

Robot Framework AI Agent Datadriver's Main Competitors and alternatives?

  • Testim
  • Mabl
  • TestSigma
  • Functionize
  • TestCraft

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