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自動ログ記録

  • An HTTP proxy for AI agent API calls enabling streaming, caching, logging, and customizable request parameters.
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    What is MCP Agent Proxy?
    MCP Agent Proxy acts as a middleware service between your applications and the OpenAI API. It transparently forwards ChatCompletion and Embedding calls, handles streaming responses to clients, caches results to improve performance and reduce costs, logs request and response metadata for debugging, and allows on-the-fly customization of API parameters. Developers can integrate it into existing agent frameworks to simplify multi-channel processing and maintain a single managed endpoint for all AI interactions.
  • Effortlessly track your work time in Chrome with ZeroTime.
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    What is ZeroTime for Chrome?
    ZeroTime for Chrome is designed to help users efficiently track time spent on various tasks while using their browser. By logging activity such as tab names and URLs, it enables an accurate overview of how time is allocated across different projects. The extension simplifies the process of timesheet management by automating task tracking, ensuring entries are consolidated for efficiency. This allows individuals and teams to gain insights into their work patterns without the hassle of manual logging.
  • An AWS Step Functions-based AI agent orchestrating LLM-powered workflows, dynamic branching, and function invocations for automation.
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    What is Step Functions Agent?
    Step Functions Agent is an open-source toolkit enabling developers to construct intelligent serverless workflows on AWS. By leveraging Large Language Models like OpenAI's GPT, this agent dynamically generates AWS Step Functions state machine definitions based on natural language prompts or structured instructions. It supports invoking Lambda functions, passing context between steps, implementing conditional branching, parallelization, retries, and error handling. The framework abstracts AWS service integrations, automatically provisions resources, and offers observability through CloudWatch. Users can customize prompts, integrate custom functions, and monitor workflow executions. With built-in fallback strategies and audit logging, Step Functions Agent streamlines building scalable, resilient AI-driven automation pipelines, accelerating development for data processing, ETL, and decision support applications.
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