Comprehensive 실시간 성능 추적 Tools for Every Need

Get access to 실시간 성능 추적 solutions that address multiple requirements. One-stop resources for streamlined workflows.

실시간 성능 추적

  • LangSmith enhances AI application development with smart tools for testing and data management.
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    What is LangSmith?
    LangSmith is designed for AI developers, offering a suite of tools to streamline application development. With features such as application testing, performance analytics, and team collaboration, it simplifies the testing and optimization processes. By providing users with insights into application behavior, LangSmith enables developers to enhance their AI solutions effectively. This ensures a better user experience and higher adoption rates for AI applications.
    LangSmith Core Features
    • Application testing tools
    • Performance analytics
    • Team collaboration features
    • Code integration
    LangSmith Pro & Cons

    The Cons

    Not open-source, limiting customization and community contributions.
    No direct mobile or app store presence mentioned.
    Limited information on potential pricing tiers and costs.

    The Pros

    Unified platform for observability and evaluation of AI agents.
    Detailed tracing and debugging of LLM app behavior.
    Supports human feedback and automated LLM-as-Judge evaluation.
    Collaborative tools for prompt experimentation and improvement.
    Flexible deployment with hybrid and self-hosted options.
    API-first and OTEL-compliant to integrate with existing DevOps tools.
    Does not add latency to AI applications.
    LangSmith Pricing
    Has free planYES
    Free trial details
    Pricing modelFreemium
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyMonthly

    Details of Pricing Plan

    Developer

    0 USD
    • For hobbyist projects by solo devs
    • First 5k traces included
    • Tracing to debug agent execution
    • Continuous evals, online and offline
    • Prompt Hub, Playground, and Canvas
    • Annotation queues for human feedback
    • Monitoring and alerting

    Plus

    39 USD
    • Batteries-included tooling for building reliable agents fast
    • First 10k traces included
    • Up to 10 seats
    • Higher rate limits for LangSmith traces
    • 1 dev-sized LangGraph Platform deployment included
    • Email support
    • Everything in Developer plan

    Enterprise

    0 USD
    • For teams with advanced deployment, security, and support needs
    • Custom pricing
    • Alternative deployment options including hybrid and self-hosted
    • Custom SSO and RBAC
    • Access to deployed engineering team
    • Support SLA
    • Team trainings and architectural guidance
    • Everything in Plus plan
    For the latest prices, please visit: https://www.langchain.com/pricing-langsmith
  • Swarm Squad orchestrates autonomous AI agent teams for collaborative content creation, data analysis, task automation, and process optimization.
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    What is Swarm Squad?
    Swarm Squad leverages autonomous AI agents that operate in concert to manage and execute complex workflows. Users define objectives and configure agent roles—such as research, drafting, analysis, and scheduling—through an intuitive interface. Each agent specializes in its function, exchanging data and feedback to refine outputs iteratively. The platform integrates with popular services like Google Drive, Slack, and CRM systems, enabling seamless data transfer and task handoffs. Real-time dashboards track agent performance, while automated alerts ensure timely interventions. Advanced customization features allow users to script custom agent behaviors and trigger conditional workflows, resulting in a unified, end-to-end solution for marketing campaigns, customer outreach, report generation, and other business-critical processes.
  • An open-source framework for developers to build, customize, and deploy autonomous AI agents with plugin support.
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    What is BeeAI Framework?
    BeeAI Framework provides a fully modular architecture for building intelligent agents that can perform tasks, manage state, and interact with external tools. It includes a memory manager for long-term context retention, a plugin system for custom skill integration, and built-in support for API chaining and multi-agent coordination. The framework offers Python and JavaScript SDKs, a command-line interface for scaffolding projects, and deployment scripts for cloud, Docker, or edge devices. Monitoring dashboards and logging utilities help track agent performance and troubleshoot issues in real time.
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