Question

this is my code:

import os
from dotenv import load_dotenv,find_dotenv
load_dotenv(find_dotenv())

print(os.environ.get("OPEN_AI_KEY"))

from langchain.llms import OpenAI
llm=OpenAI(model_name="text-davinci-003",temperature=0.7,max_tokens=512)
print(llm)

when I execute above code I get this error

ValidationError: 1 validation error for OpenAI
__root__
  Did not find openai_api_key, please add an environment variable `OPENAI_API_KEY` which contains it, or pass  `openai_api_key` as a named parameter. (type=value_error)

docs say

If you d prefer not to set an environment variable you can pass the key in directly via the openai_api_key named parameter when initiating the OpenAI LLM class:

But already set it and it prints correctly

When I set the llm by passing named param:

llm=OpenAI(openai_api_key="PASSINGCORRECTKEY", model_name="text-davinci-003",temperature=0.7,max_tokens=512)
llm("Tell me a joke")

then I get this error:

raise ValueError(
             "Argument `prompt` is expected to be a string. Instead found "
            f"{type(prompt)}. If you want to run the LLM on multiple prompts, use "
             "`generate` instead."
         )

Answer 1

you should add a .env file and add the open_api_key in it

open_api_key="xxxx"

Answer 2

You may need to store the OpenAI token and then pass it to the llm variable you have here, or just rename your environment variable to openai_api_key.

A possible example of passing a key directly is this:

import os
from dotenv import load_dotenv,find_dotenv
load_dotenv(find_dotenv())

OpenAI_key = os.environ.get("OPEN_AI_KEY")
print(OpenAI_token)

from langchain.llms import OpenAI
llm=OpenAI(model_name="text-davinci-003",temperature=0.7,max_tokens=512,openai_api_key=OpenAI_key)
print(llm)

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