Finalize GenAI exam: simplify qabilah+q2, add q5 LangChain agent

q5-llm-agent/llm-agent.md

@@ -0,0 +1,50 @@
+# Q5 — Build a simple LLM agent with LangChain (on Ghaymah's GenAI services)
+
+⏱ **Budget: ~9 minutes** · Weight: 20%
+
+## The task
+
+Build a small **LLM agent** using **LangChain**, and point it at **Ghaymah's GenAI services** (the ready-to-use LLM models you saw in the dashboard).
+
+Requirements:
+
+1. Use LangChain (Python) with an **OpenAI-compatible** client pointed at Ghaymah's inference endpoint. Get the **base URL**, **API key**, and a **model ID** from https://deploy.ghaymah.systems (see the AI / models section).
+2. Give the agent **at least one tool** — e.g. a calculator, a "save note" memory tool, or a tiny retrieval tool.
+3. (Optional, +bonus) Wire it to the static site from **Q4** — the page calls your agent's endpoint and shows the reply.
+
+There's a starter `agent.py` + `requirements.txt` in this folder you may extend or replace.
+
+## Deliverable
+
+Fill in the template below and commit your code in this folder.
+
+---
+
+## ANSWER — LangChain agent
+
+### 1. What my agent does
+
+> _one or two lines_ 
+
+### 2. Architecture (LangChain components)
+
+| Component | What I used |
+|---|---|
+| Model (LLM) | |
+| Tool(s) | |
+| Prompt | |
+| Executor | |
+
+### 3. How it uses Ghaymah's GenAI services
+
+> _base URL pattern, model ID, how you got the key (do not paste the key)_ 
+
+### 4. Code
+
+> _commit your code in this folder (agent.py etc.) and reference it here_ 
+
+### 5. How to run / deploy it
+
+```bash
+# commands
+```