Self-Improving Agent With Guardrails
A LiteLLM agent that senses weak KPIs, proposes prompt updates, and routes risky self-improvement through approval gates.
Research notes on AI governance, agentic architecture, and multi-agent system design, with attention to security, risk, and responsible deployment.
A LiteLLM agent that senses weak KPIs, proposes prompt updates, and routes risky self-improvement through approval gates.
A LiteLLM educational demo rebuild of the SWE-agent action loop using simulated tools, review gates, and no real execution.
A safe educational rebuild of GPT Researcher using fictional source packets and a plan, gather, publish research loop.
A safe educational rebuild of Goose as a LiteLLM-native safety-gated action planner for tool selection and review.
A safe educational rebuild of Browser Use as a fictional page-state planner with local action validation.
A safe educational rebuild of PentestGPT as an authorized scope, review, and evidence planning agent.
An educational demo of the Fabric pattern library idea as a small LiteLLM-native prompt runner.
Three-agent content pipeline using Agency Swarm, a CEO agent delegates research and writing to specialized workers through a structured communication chart.
Three AutoGen agents showing how AI can hold structured conversations, run group debates, and self-correct code without human input
Three-agent CrewAI crew where one agent researches, one writes, and one reviews, all routed through LiteLLM with no provider lock-in.