Advanced мониторинг использования Tools for Professionals

Discover cutting-edge мониторинг использования tools built for intricate workflows. Perfect for experienced users and complex projects.

мониторинг использования

  • Blobr optimizes ad budget and offers AI-driven API management solutions.
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    What is Blobr?
    Blobr is an AI-driven platform designed to help businesses optimize their advertising budget and efficiently manage their APIs. It uses advanced AI algorithms to analyze sales and marketing data, providing actionable insights to improve performance. Blobr offers features like API documentation, usage monitoring, and monetization options, making it easy for businesses to share and manage their APIs without extensive technical knowledge. With Blobr, businesses can uncover marketing and sales insights by querying their favorite business tools through a simple chat interface.
  • Track your ChatGPT usage efficiently with this Chrome extension.
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    What is GPT4-Requests-Counter?
    The GPT4-Requests-Counter Chrome extension helps users keep track of their ChatGPT question prompts effectively. By counting the number of inquiries made within a 3-hour period, this extension allows users to maintain oversight of their usage patterns and ensures they do not exceed usage limits. The user-friendly interface provides clear visual feedback on queries made, enhancing the interaction experience with AI. Whether for developers, bloggers, or general users, this tool is an essential companion for anyone looking to optimize their usage of ChatGPT.
  • A CLI client to interact with Ollama LLM models locally, enabling multi-turn chat, streaming outputs, and prompt management.
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    What is MCP-Ollama-Client?
    MCP-Ollama-Client provides a unified interface to communicate with Ollama’s language models running locally. It supports full-duplex multi-turn dialogues with automatic history tracking, live streaming of completion tokens, and dynamic prompt templates. Developers can choose between installed models, customize hyperparameters like temperature and max tokens, and monitor usage metrics directly in the terminal. The client exposes a simple REST-like API wrapper for integration into automation scripts or local applications. With built-in error reporting and configuration management, it streamlines the development and testing of LLM-powered workflows without relying on external APIs.
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