Why am I getting an authentication error when trying to run a LangChain tutorial on FAISS vector database with OpenAI API?

I follow a YouTube LangChain tutorial where it teaches Create Your Own ChatGPT with PDF Data in 5 Minutes (LangChain Tutorial) and here is the colab notebook link provided by the author for his work below the video description. I didn't modify a lot of his codes where I just changed the OpenAPI key with my one (not free plan).

Can I know why I got this error as shown in the diagram above when I try to run the code in the cell?

I expect the FAISS vector database can be created.

Update: (29th may, 2023)

In order to use the library with Microsoft Azure endpoints, you need to set the OPENAI_API_TYPE, OPENAI_API_BASE, OPENAI_API_KEY, and optionally API_VERSION. The OPENAI_API_TYPE must be set to 'azure' and the others correspond to the properties of your endpoint. In addition, the deployment name must be passed as the model parameter.

See the below example:

import os

os.environ["OPENAI_API_TYPE"] = "azure"
os.environ["OPENAI_API_BASE"] = "https://<your-endpoint.openai.azure.com/"
os.environ["OPENAI_API_KEY"] = "your AzureOpenAI key"

from langchain.embeddings.openai import OpenAIEmbeddings

embeddings = OpenAIEmbeddings(
    deployment="your-embeddings-deployment-name",
    model="your-embeddings-model-name",
    api_base="https://your-endpoint.openai.azure.com/",
    api_type="azure",
)

The same goes for the LLM model. See the below example with reference to your provided notebook link:

import os

os.environ["OPENAI_API_TYPE"] = "azure"
os.environ["OPENAI_API_VERSION"] = "2022-12-01"
os.environ["OPENAI_API_BASE"] = "..."
os.environ["OPENAI_API_KEY"] = "..."

# Import Azure OpenAI
from langchain.llms import AzureOpenAI

# Replace the deployment name with your own
chain = load_qa_chain(
    AzureOpenAI(
        deployment_name="td2",
        model_name="text-davinci-002",
    ),
    chain_type="stuff",
)

Initial suspicion

AuthenticationError occurs when there's an issue with your API key or token. It could be because it's invalid. This may happen if there's a small mistake, like a typo or a formatting error. Try with a different/new API key if the issue persists.