| llmling |
A backend for pydantic-AI agents and MCP servers. |
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| sqlmodel |
SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness. |
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| prompt_toolkit |
Library for building powerful interactive command lines in Python |
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| psygnal |
Fast python callback/event system modeled after Qt Signals |
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| pydantic-ai |
Agent Framework / shim to use Pydantic with LLMs |
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| promptantic |
Generate pydantic models using prompts |
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| pyperclip |
A cross-platform clipboard module for Python. (Only handles plain text for now.) |
extra == "clipboard" |
| watchfiles |
Simple, modern and high performance file watching and code reload in python. |
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| pydantic |
Data validation using Python type hints |
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| fieldz |
Utilities for providing compatibility with many dataclass-like libraries |
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| textual |
Modern Text User Interface framework |
extra == "textual" |
| typer |
Typer, build great CLIs. Easy to code. Based on Python type hints. |
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| gradio |
Python library for easily interacting with trained machine learning models |
extra == "ui" |
| python-dotenv |
Read key-value pairs from a .env file and set them as environment variables |
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| toprompt |
Convert python objects to LLM-friendly descriptions |
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| llmling-models |
Pydantic-AI models for LLMling-agent |
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| slashed |
Slash commands and autocompletions |
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| mcp |
Model Context Protocol SDK |
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| litellm |
Library to easily interface with LLM API providers |
extra == "litellm" |
| tokonomics |
Calcuate costs for LLM Usage based on token count |
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