Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Building AI Agents in Python Using Github Copil...

Sponsored · Your Podcast. Everywhere. Effortlessly. Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
Avatar for Adarsh D Adarsh D
June 03, 2026
1

Building AI Agents in Python Using Github Copilot SDK

Avatar for Adarsh D

Adarsh D

June 03, 2026

Transcript

  1. AGENDA 01 INTRO Intro to Copilot SDK What are AI

    Agents 02 AGENT SETUP Choosing an LLM System Prompt Copilot Sessions 03 DATA & TOOLS Tools MCP Skills Copilot Hooks & Permissions 04 FINALE Demo Agent Next Steps 3
  2. LLMs - Trained an huge amounts of Data - Good

    at a large number of tasks 4
  3. Interacting with LLMs - Most popular way: Chat Fix writing,

    identify errors in code, summarize PDFs, etc. 5
  4. LLMs are capable to do more than just chat. AI

    agent is an AI system that can autonomously plan and execute multi-step actions toward a goal. Agents usually have specialized tools: Bash, Websearch, LSP - Claude Code: Agentic coding system - Lovable: Agentic Website builder Agents
  5. Chatbot vs Agent 7 A chatbot answers; an agent does

    work under rules set by the host application. Chatbot flow: User message -> Model response Agent flow: User goal -> App context -> Model -> Tool or question -> Result -> Final output - the model is not the whole product - the host application controls the loop, tools, permissions, and user experience
  6. Choosing an LLM Lorem ipsum dolor sit amet, consectetur adipiscing

    elit. SOCIAL 22% PAID 10% ORGANIC SEARCH 70% REFERRAL 8% 8 - Benchmarks - Costs - Reasoning model - Context Window
  7. Choosing an LLM 9 Things to compare: - Does the

    model follow instructions well? Can it call tools reliably? - Is it fast enough for the UI? - Do we need a hosted model or a local model?
  8. Whats Next 11 - Memory: Persist information across sessions -

    Agent Orchestration: Multiple Agents - Evals: Testing model outputs - Observability: Logs, tracing tools
  9. References 12 - The Missing Playbook for AI Agents -

    Blog post by Kumar Anirudha - AI Agent for beginners - Github repo by Microsoft - A practical guide to building agents - Guide by OpenAI - Building effective agents - Guide by Anthropic - Patterns for Building AI Agents - Free Ebook by Mastra