A growing ecosystem of Python libraries for building real-world LLM applications.
llming provides modular, composable building blocks for working with large language models — from multi-provider LLM access and streaming to document processing, real-time dashboards, task automation, and MCP integrations. Built in the open, designed for production.
Multi-provider LLM client with streaming, tools, MCP support, and budget management
Real-time dashboard framework for Python web applications with live-updating widgets
Base library for building document-knowledge MCP agents
Document plugin system for creating, editing, and exporting rich documents via MCP tools
Model metadata, configuration, and budget management for LLM applications
WebSocket session management, authentication, and debug API for real-time web apps
Task automation made easy
Remote-controlled isolated Python execution with resource limits and Redis queue
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