The Solutions:
Solution 1: Using a local variable
To address the issue and avoid using environment variables, you can use a local variable to store your API key. Here’s a code snippet demonstrating this approach:
OPENAI_API_KEY="sk-xxxxx"
openai.api_key = OPENAI_API_KEY
By setting OPENAI_API_KEY
as a local variable and assigning it to openai.api_key
, you can directly provide the API key without relying on environment variables. This approach should resolve the error you were encountering.
Solution 2: setting environment variable
In the provided code snippet, you are trying to access the environment variable named ‘sk-xxx’ using os.environ[‘sk-xxx’], but it seems that there is no such environment variable set in your system. To resolve this issue, you need to properly set the ‘OPENAI_API_KEY’ environment variable with your OpenAI API key. Here’s an example of how you can set the environment variable using the ‘dotenv’ library:
import os
from dotenv import load_dotenv
# Load the environment variables from a .env file
load_dotenv()
# Access the OpenAI API key from the environment variable
openai_api_key = os.getenv('OPENAI_API_KEY')
# Set the OpenAI API key
openai.api_key = openai_api_key
Once you have set the environment variable correctly, you should be able to use the langchain library with ChatOpenAI() without encountering the error.
Solution 3: Pass API key as a named parameter
Instead of setting the API key in the environment or in a variable, try passing it as a named parameter when initializing `ChatOpenAI`.
chat = ChatOpenAI(
temperature=0,
model=llm_model,
openai_api_key="YOUR_API_KEY*[sk-xxx]*"
)
Q&A
I use a local variable like this OPENAI_API_KEY="sk-xxx" but it didn’t work. may I misuse?
No, you should use an environment variable and assign it to api_key: openai.api_key=os.environ["OPENAI_API_KEY"]
Is using OpenAI is better that using HuggingFace or downloading a model?
It depends on what models and features you need and how much you are willing to pay
Anyone facing the issue that they sometimes get rate limiting error from OpenAI and sometimes doesn’t from OpenAI?
Yes, OpenAI has difficulty scaling their operations
Video Explanation:
The following video, titled "Workaround OpenAI's Token Limit With Chain Types - YouTube", provides additional insights and in-depth exploration related to the topics discussed in this post.
... LangChain - Get past your model's token limit using alternative chain types Langchain documentation https://langchain.readthedocs.io/en ...
The following video, titled "Workaround OpenAI's Token Limit With Chain Types - YouTube", provides additional insights and in-depth exploration related to the topics discussed in this post.
... LangChain - Get past your model's token limit using alternative chain types Langchain documentation https://langchain.readthedocs.io/en ...