Comprehensive 性能測試 Tools for Every Need

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性能測試

  • ToolFuzz automatically generates fuzz tests to evaluate and debug tool-using capabilities and reliability of AI agents.
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    What is ToolFuzz?
    ToolFuzz provides a comprehensive fuzz testing framework specifically tailored for tool-using AI agents. It systematically generates randomized tool invocation sequences, malformed API inputs, and unexpected parameter combinations to stress-test the agent’s tool-calling modules. Users can define custom fuzz strategies using a modular plugin interface, integrate third-party tools or APIs, and adjust mutation rules to target specific failure modes. The framework collects execution traces, measures code coverage for each component, and highlights unhandled exceptions or logic flaws. With built-in result aggregation and reporting, ToolFuzz accelerates the identification of edge cases, regression issues, and security vulnerabilities, ultimately strengthening the robustness and reliability of AI-driven workflows.
    ToolFuzz Core Features
    • Automated fuzz case generation
    • Malformed input injection
    • Tool invocation sequence exploration
    • Customizable fuzz strategies
    • Coverage tracking and metrics
    • Real-time result visualization
    • Modular plugin interface
  • Benchmark suite measuring throughput, latency, and scalability for Java-based LightJason multi-agent framework across diverse test scenarios.
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    What is LightJason Benchmark?
    LightJason Benchmark offers a comprehensive set of predefined and customizable scenarios to stress-test and evaluate multi-agent applications built on the LightJason framework. Users can configure agent counts, communication patterns, and environmental parameters to simulate real-world workloads and assess system behavior. Benchmarks gather metrics such as message throughput, agent response times, CPU and memory consumption, logging results to CSV and graphical formats. Its integration with JUnit allows seamless inclusion in automated testing pipelines, enabling regression and performance testing as part of CI/CD workflows. With adjustable settings and extensible scenario templates, the suite helps pinpoint performance bottlenecks, validate scalability claims, and guide architectural optimizations for high-performance, resilient multi-agent systems.
  • AI-native platform making browser testing easy and automated through natural language instructions.
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    What is Magic Inspector?
    Magic Inspector is an AI-powered, no-code browser testing platform designed to streamline and automate testing processes. This platform allows users to create tests in natural language, making it accessible to non-technical users. Key features include scheduling, extensive third-party integrations, video recordings of test runs, and advanced analytics. With Magic Inspector, businesses can achieve faster QA processes, reduce manual testing effort, and efficiently detect bugs on autopilot, ensuring a smooth user experience and maintaining high application standards.
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