Showing 4 open source projects for "rest api testing"

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  • 1
    webclaw

    webclaw

    Fast, local-first web content extraction for LLMs

    ...The tool addresses a major inefficiency in AI workflows by removing irrelevant elements like navigation menus, ads, and scripts, significantly reducing token usage when feeding data into language models. It supports multiple modes of operation, including CLI usage, REST API access, and an MCP server for direct integration with agent-based systems. Webclaw also provides advanced capabilities such as recursive crawling, structured JSON extraction, summarization, and content comparison, making it suitable for research and data pipelines. Its local-first architecture ensures privacy and eliminates the need for API keys.
    Downloads: 0 This Week
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  • 2
    mistral.rs

    mistral.rs

    Fast, flexible LLM inference

    ...For user-facing testing, mistral.rs can provide a built-in web UI, and it also offers a dedicated lightweight web chat interface that supports richer interaction patterns.
    Downloads: 2 This Week
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  • 3
    Google Workspace CLI

    Google Workspace CLI

    Command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, etc.

    Google Workspace CLI (gws) is a command-line tool designed to interact with Google Workspace services such as Drive, Gmail, Calendar, Sheets, and more from a single interface. It dynamically generates its command structure using Google’s Discovery Service, allowing it to automatically support new API endpoints as they become available. The tool eliminates the need for manual REST API calls by providing structured commands and built-in help for each resource and method. It outputs structured JSON responses, making it easy for developers, scripts, and AI agents to process results programmatically. The CLI supports multiple authentication methods, including OAuth login, service accounts, and environment-based credentials for automated environments. ...
    Downloads: 0 This Week
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  • 4
    Paddler

    Paddler

    Open-source LLM load balancer and serving platform for hosting LLMs

    Paddler is an open-source LLM infrastructure platform designed to deploy, manage, and scale large language models on private infrastructure. The system acts as a specialized load balancer and serving layer for language models, enabling organizations to run inference workloads without relying on external API providers. It supports running models locally through engines such as llama.cpp while distributing requests across multiple compute nodes to improve performance and reliability. The...
    Downloads: 3 This Week
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