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Suivi des données

  • A Chrome extension for monitoring and analyzing your OpenAI usage effectively.
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    What is OpenAI Usage Insights (For Developers)?
    OpenAI Usage Insights is a Chrome extension designed to enhance your experience with OpenAI products by providing detailed visibility into your usage patterns. With this tool, users can efficiently monitor, track, and analyze their OpenAI data, allowing for better resource management and optimization. Its user-friendly interface makes it easy to generate usage reports, identify trends, and make informed decisions. Whether you're a developer, data scientist, or a business user, OpenAI Usage Insights offers valuable insights to help you maximize the efficiency of your OpenAI operations.
    OpenAI Usage Insights (For Developers) Core Features
    • Usage monitoring
    • Data analysis
    • Customizable reports
    • Trend identification
    • Resource optimization
  • AI-powered tool for competitive intelligence, insights, and strategy to win more deals.
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    What is Rivalyze?
    Rivalyze harnesses the power of AI to track competitor activities and generate actionable insights. This platform offers automated data collection, 24/7 monitoring, and real-time intelligence from multiple sources. It features battle cards, customizable dashboards, and comprehensive reports that help companies make informed, data-driven decisions. From competitor comparisons to strategic recommendations, Rivalyze is designed to enhance competitive positioning and uncover new market opportunities.
  • Lila is an open-source AI agent framework that orchestrates LLMs, manages memory, integrates tools, and customizes workflows.
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    What is Lila?
    Lila delivers a complete AI agent framework tailored for multi-step reasoning and autonomous task execution. Developers can define custom tools (APIs, databases, webhooks) and configure Lila to call them dynamically during runtime. It offers memory modules to store conversation history and facts, a planning component to sequence sub-tasks, and chain-of-thought prompting for transparent decision paths. Its plugin system allows seamless extension with new capabilities, while built-in monitoring tracks agent actions and outputs. Lila’s modular design makes it easy to integrate into existing Python projects or deploy as a hosted service for real-time agent workflows.
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