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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.
    SwarmZero Core Features
    • Multi-agent orchestration API
    • Role-based agent definitions
    • Plugin and extension support
    • Session replay and debugging
    • Metrics tracking and logging
    • Customizable prompt templates
    • Integrations with major LLM providers
    SwarmZero Pro & Cons

    The Cons

    Limited information on pricing details and specific limitations or costs.
    Potential complexity for new users in managing multi-agent swarms and advanced configurations.
    Lack of explicit information on support for mobile or browser applications.

    The Pros

    Offers a decentralized and community-driven platform supporting AI agent development and monetization.
    Provides a marketplace that connects developers and customers, simplifying access to AI agents.
    Supports creating complex workflows by grouping agents into swarms.
    Enables developers to integrate multiple ML models, APIs, and embed other agents to enhance agent capabilities.
    SwarmZero Pricing
    Has free planNo
    Free trial details
    Pricing modelPaid
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyMonthly

    Details of Pricing Plan

    Basic Plan Monthly

    15 USD
    • Build AI Agents and customize them for your use case.
    • Build Swarms of AI Agents and customize them.
    • Add more tools to your agents to increase their abilities.
    • Configure your agents to use different LLMs.
    • Upload images and documents to your agents and swarms.
    • Priority access during high-traffic periods.

    Basic Plan Yearly

    165 USD
    • Build AI Agents and customize them for your use case.
    • Build Swarms of AI Agents and customize them.
    • Add more tools to your agents to increase their abilities.
    • Configure your agents to use different LLMs.
    • Upload images and documents to your agents and swarms.
    • Priority access during high-traffic periods.
    • 12th month free

    Enterprise

    Custom USD
    • Tailored pricing and dedicated support for businesses.
    • For businesses of any size
    Discount:Lock-in a discounted price now for the first year of usage. 12th month free on yearly plan.
    For the latest prices, please visit: https://swarmzero.ai/pricing
  • 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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