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Comprehensive 관찰 도구 Tools for Every Need

Get access to 관찰 도구 solutions that address multiple requirements. One-stop resources for streamlined workflows.

관찰 도구

  • Agent Starter Pack

    An open-source Google Cloud framework offering templates and samples to build conversational AI agents with memory, planning, and API integrations.
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    What is Agent Starter Pack?
    Agent Starter Pack is a developer toolkit that scaffolds intelligent, interactive agents on Google Cloud. It offers templates in Node.js and Python to manage conversation flows, maintain long-term memory, and perform tool and API invocations. Built on Vertex AI and Cloud Functions or Cloud Run, it supports multi-step planning, dynamic routing, observability, and logging. Developers can extend connectors to custom services, build domain-specific assistants, and deploy scalable agents in minutes.
    Agent Starter Pack Core Features
    • Conversation scaffolding with multi-turn dialogue
    • Long-term memory management
    • Multi-step reasoning and planning
    • API and tool invocation connectors
    • Integration with Vertex AI LLMs
    • Deployment on Cloud Functions or Cloud Run
    • Observability via Cloud Logging and Monitoring
    Agent Starter Pack Pro & Cons

    The Cons

    No explicit pricing information available on the page.
    Potential complexity in customizing templates for users without advanced knowledge.
    Documentation may require prior familiarity with Google Cloud and AI agent concepts.

    The Pros

    Pre-built templates enable rapid development of AI agents.
    Integration with Vertex AI allows for effective experimentation and evaluation.
    Production-ready infrastructure supports reliable deployment with monitoring and CI/CD.
    Highly customizable and extendable to suit various use cases.
    Open-source under Apache 2.0 License facilitating community contribution and transparency.

  • FAgent

    FAgent is a Python framework that orchestrates LLM-driven agents with task planning, tool integration, and environment simulation.
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    What is FAgent?
    FAgent offers a modular architecture for constructing AI agents, including environment abstractions, policy interfaces, and tool connectors. It supports integration with popular LLM services, implements memory management for context retention, and provides an observability layer for logging and monitoring agent actions. Developers can define custom tools and actions, orchestrate multi-step workflows, and run simulation-based evaluations. FAgent also includes plugins for data collection, performance metrics, and automated testing, making it suitable for research, prototyping, and production deployments of autonomous agents in various domains.
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