README.md

metadata

title: The Agent Reliability Stack
emoji: 🪡
colorFrom: yellow
colorTo: gray
sdk: gradio
sdk_version: 5.49.1
python_version: '3.12'
app_file: app.py
pinned: false
license: mit
short_description: Live demo of fit, guard, snap, vet, cast — five small libs.
tags:
  - llm
  - agent
  - reliability
  - tool-use
  - structured-output
  - prompt-injection

The Agent Reliability Stack — Live Demo

Five small, focused libraries that fix the boring problems every long-running AI agent eventually hits. Pure Python, zero runtime dependencies. BYO LLM.

Pick a tab to see what each library does against your own input — no install needed.

What you can try

• 🪟 fit — fit a chat history into a token budget (drop-oldest / drop-middle / priority)
• 🛡️ guard — check URLs against a network-egress allowlist before any tool fetch
• 📸 snap — diff two tool-call traces, catch silent regressions
• ✅ vet — validate tool-call args before execution; LLM-friendly retry hints
• 🎯 cast — extract JSON from messy LLM text and validate it against a shape

Install

Pick the language you live in:

# Python
pip install mk-agentkit         # all five
pip install agentfit-py         # individual

# JavaScript / TypeScript
npm install @mukundakatta/agentkit   # all five
npm install @mukundakatta/agentfit   # individual

Or run them as MCP servers inside Claude Desktop / Cursor / Cline / Windsurf / Zed:

npx -y @mukundakatta/agentfit-mcp

Links

• 🌐 Landing: https://mukundakatta.github.io/agent-stack/
• 📦 PyPI: mukundakatta
• 📦 npm: @mukundakatta
• 💻 GitHub: MukundaKatta

License

MIT.