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{
"cells": [
{
"cell_type": "markdown",
"id": "0",
"metadata": {},
"source": [
"# Setup"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1",
"metadata": {},
"outputs": [],
"source": [
"# If not already in your PYTHONPATH, add the project root so we can import agent-2\n",
"import sys, os, pathlib, importlib\n",
"\n",
"project_root = pathlib.Path.cwd() # adjust if the notebook sits elsewhere\n",
"sys.path.append(str(project_root))\n",
"\n",
"# Optional: load .env for API keys\n",
"from dotenv import load_dotenv\n",
"load_dotenv() # expects OPENAI_API_KEY and NEBIUS_API_KEY\n",
"\n",
"\n",
"import os\n",
"os.environ[\"LANGSMITH_TRACING\"] = \"true\""
]
},
{
"cell_type": "markdown",
"id": "2",
"metadata": {},
"source": [
"# Import Agent"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3",
"metadata": {},
"outputs": [],
"source": [
"# import agent\n",
"agent_module = importlib.import_module(\"agent\") # agent.py ➜ agent\n",
"Agent = agent_module.Agent # grab the class"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4",
"metadata": {},
"outputs": [],
"source": [
"# Initiate\n",
"agent = Agent()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5",
"metadata": {},
"outputs": [],
"source": [
"# visualise\n",
"from IPython.display import Image, display\n",
"\n",
"try:\n",
" display(Image(agent.graph.get_graph().draw_mermaid_png()))\n",
"except Exception:\n",
" # This requires some extra dependencies and is optional\n",
" pass"
]
},
{
"cell_type": "markdown",
"id": "6",
"metadata": {},
"source": [
"# Question"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7",
"metadata": {},
"outputs": [],
"source": [
"# Question\n",
"question_text = \"How many at bats did the Yankee with the most walks in the 1977 regular season have that same season?\"\n",
"\n",
"\n",
"answer = agent(question=question_text)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8",
"metadata": {},
"outputs": [],
"source": [
"print(answer)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9",
"metadata": {},
"outputs": [],
"source": [
"\n",
"print(\"Answer:\", answer)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "10",
"metadata": {},
"outputs": [],
"source": [
"# Show the messages\n",
"for m in answer['Answer']:\n",
" m.pretty_print()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.8"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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