Getting Started with LangChain and OpenAIChat Wrapper

LangChain, a powerful framework for building LLM applications, can be combined with the OpenAI Chat Wrapper to create sophisticated conversational AI agents. In this comprehensive guide, we will explore the steps involved in setting up and using LangChain and the OpenAI Chat Wrapper.

Prerequisites

• Python: Ensure you have Python installed on your system.
• LangChain: Install LangChain using pip: pip install langchain
• OpenAI: Install the OpenAI Python library: pip install openai
• OpenAI API Key: Obtain an OpenAI API key from the OpenAI platform.

Creating a LangChain LLM Chain

Import Necessary Libraries:

Python

from langchain.llms import OpenAI
from langchain.chains import LLMChain

Create an LLM Object:

Python

llm = OpenAI(temperature=0.7)

Create an LLM Chain:

Python

chain = LLMChain(llm=llm, prompt=”Summarize the following text:”)

Using the OpenAI Chat Wrapper

Import the Chat Wrapper:

Python

from langchain.chat_models import ChatOpenAI

Create a Chat Model:

Python

chat_model = ChatOpenAI(temperature=0.7)

Combining LangChain and OpenAI Chat Wrapper

Create a Prompt Template:

Python

prompt_template = “””Summarize the following text:
{text}
“””

Create a Prompt:

Python

prompt = prompt_template.format(text=”This is a sample text.”)

Generate a Response:

Python

response = chat_model(prompt)
print(response.content)

By following these steps, you can effectively use LangChain and the OpenAI Chat Wrapper to create powerful conversational AI agents. You can customize the prompt templates and LLM parameters to tailor the responses to your specific needs.