Comprehensive 오류 추적 Tools for Every Need

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오류 추적

  • SwarmZero is a Python framework that orchestrates multiple LLM-based agents collaborating on tasks with role-driven workflows.
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    What is SwarmZero?
    SwarmZero offers a scalable, open-source environment for defining, managing, and executing swarms of AI agents. Developers can declare agent roles, customize prompts, and chain workflows via a unified Orchestrator API. The framework integrates with major LLM providers, supports plugin extensions, and logs session data for debugging and performance analysis. Whether coordinating research bots, content creators, or data analyzers, SwarmZero streamlines multi-agent collaboration and ensures transparent, reproducible results.
  • Lumina Log is a powerful and clean logging library for diverse applications.
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    What is LuminaLog?
    Lumina Log is a versatile and clean logging library designed to be used with a wide range of applications. Whether you are developing software for personal use, business, or enterprise-level needs, Lumina Log provides a robust solution for all your logging requirements. Key features include easy integration, minimal setup time, and comprehensive logging capabilities that support error tracking, performance monitoring, and data analysis. It helps improve the efficiency of debugging and ensures smoother application performance.
  • Spellcaster is an open-source platform for defining, testing, and orchestrating GPT-powered AI agents through templated spells.
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    What is Spellcaster?
    Spellcaster provides a structured approach to building AI Agents by using 'spells'—a combination of prompts, logic, and workflows. Developers write YAML configurations to define agents’ roles, inputs, outputs, and orchestration steps. The CLI tool executes spells, routes messages, and integrates seamlessly with OpenAI, Anthropic, and other LLM APIs. Spellcaster tracks execution logs, retains conversation context, and supports custom plugins for pre- and post-processing. Its debugging interface visualizes the sequence of calls and data flows, making it easier to identify prompt failures and performance issues. By abstracting complex orchestration patterns and standardizing prompt templates, Spellcaster reduces development overhead and ensures consistent agent behavior across environments.
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