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diff --git a/notebooks/Chapter 1_ Prompt Chaining (Code Example).ipynb b/notebooks/Chapter 1_ Prompt Chaining (Code Example).ipynb
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+{"cells":[{"cell_type":"code","source":["import os\n","from langchain_openai import ChatOpenAI\n","from langchain_core.prompts import ChatPromptTemplate\n","from langchain_core.output_parsers import StrOutputParser\n","\n","# For better security, load environment variables from a .env file\n","# from dotenv import load_dotenv\n","# load_dotenv()\n","# Make sure your OPENAI_API_KEY is set in the .env file\n","\n","# Initialize the Language Model (using ChatOpenAI is recommended)\n","llm = ChatOpenAI(temperature=0)\n","\n","# --- Prompt 1: Extract Information ---\n","prompt_extract = ChatPromptTemplate.from_template(\n","    \"Extract the technical specifications from the following text:\\n\\n{text_input}\"\n",")\n","\n","# --- Prompt 2: Transform to JSON ---\n","prompt_transform = ChatPromptTemplate.from_template(\n","    \"Transform the following specifications into a JSON object with 'cpu', 'memory', and 'storage' as keys:\\n\\n{specifications}\"\n",")\n","\n","# --- Build the Chain using LCEL ---\n","# The StrOutputParser() converts the LLM's message output to a simple string.\n","extraction_chain = prompt_extract | llm | StrOutputParser()\n","\n","# The full chain passes the output of the extraction chain into the 'specifications'\n","# variable for the transformation prompt.\n","full_chain = (\n","    {\"specifications\": extraction_chain}\n","    | prompt_transform\n","    | llm\n","    | StrOutputParser()\n",")\n","\n","# --- Run the Chain ---\n","input_text = \"The new laptop model features a 3.5 GHz octa-core processor, 16GB of RAM, and a 1TB NVMe SSD.\"\n","\n","# Execute the chain with the input text dictionary.\n","final_result = full_chain.invoke({\"text_input\": input_text})\n","\n","print(\"\\n--- Final JSON Output ---\")\n","print(final_result)"],"outputs":[],"execution_count":null,"metadata":{"id":"NhfdOggSqMrH"}}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"}},"nbformat":4,"nbformat_minor":0}
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