Hello, I am using multiagent customer support example from deeplearning.ai course to some testing. In course it connects to openai but I am trying to use clause. Even after making necessary change I am still getting error openai key not found which I guess it is not supposed to expect. Please guide me how to proceed.
Here is a error I am getting -
— openai.AuthenticationError: Error code: 401 - {‘error’: {‘message’: ‘Incorrect API key provided: fake. You can find your API key at .’, ‘type’: ‘invalid_request_error’, ‘param’: None, ‘code’: ‘invalid_api_key’}}`
Following is my code `
import os
import warnings
warnings.filterwarnings(“ignore”)
import requests
from dotenv import load_dotenv
from crewai import Agent, Task, Crew , LLM
from crewai_tools import SerperDevTool,
ScrapeWebsiteTool,
WebsiteSearchTool
from langchain_anthropic import ChatAnthropic
Load environment variables from the .env file (if present)
load_dotenv()
ANTHROPIC_API_KEY = os.environ.get(‘ANTHROPIC_API_KEY’) or ‘you-will-never-guess’
llm = ChatAnthropic(
model=“claude-3-5-sonnet-20240620”,
base_url=“https://api.anthropic.com/v1/complete”,
api_key=os.environ.get(‘ANTHROPIC_API_KEY’)
)
support_agent = Agent(
role=“Senior Support Representative”,
goal="Be the most friendly and helpful "
“support representative in your team”,
backstory=(
"You work at crewAI and "
" are now working on providing "
“support to {customer}, a super important customer "
" for your company.”
“You need to make sure that you provide the best support!”
“Make sure to provide full complete answers, "
" and make no assumptions.”
),
allow_delegation=False,
verbose=True,
llm=llm
)
support_quality_assurance_agent = Agent(
role=“Support Quality Assurance Specialist”,
goal="Get recognition for providing the "
“best support quality assurance in your team”,
backstory=(
"You work at crewAI and "
"are now working with your team "
"on a request from {customer} ensuring that "
"the support representative is "
“providing the best support possible.\n”
"You need to make sure that the support representative "
“is providing full”
“complete answers, and make no assumptions.”
),
verbose=True,
llm=llm
)
docs_scrape_tool = ScrapeWebsiteTool(
website_url=“https://docs.crewai.com/how-to/Creating-a-Crew-and-kick-it-off/”
)
inquiry_resolution = Task(
description=(
“{customer} just reached out with a super important ask:\n”
“{inquiry}\n\n”
"{person} from {customer} is the one that reached out. "
"Make sure to use everything you know "
“to provide the best support possible.”
"You must strive to provide a complete "
“and accurate response to the customer’s inquiry.”
),
expected_output=(
"A detailed, informative response to the "
"customer’s inquiry that addresses "
“all aspects of their question.\n”
"The response should include references "
"to everything you used to find the answer, "
"including external data or solutions. "
"Ensure the answer is complete, "
"leaving no questions unanswered, and maintain a helpful and friendly "
“tone throughout.”
),
tools=[docs_scrape_tool],
agent=support_agent,
)
quality_assurance_review = Task(
description=(
"Review the response drafted by the Senior Support Representative for {customer}'s inquiry. "
"Ensure that the answer is comprehensive, accurate, and adheres to the "
“high-quality standards expected for customer support.\n”
"Verify that all parts of the customer’s inquiry "
"have been addressed "
“thoroughly, with a helpful and friendly tone.\n”
"Check for references and sources used to "
" find the information, "
"ensuring the response is well-supported and "
“leaves no questions unanswered.”
),
expected_output=(
"A final, detailed, and informative response "
“ready to be sent to the customer.\n”
"This response should fully address the "
"customer’s inquiry, incorporating all "
“relevant feedback and improvements.\n”
"Don’t be too formal, we are a chill and cool company "
“but maintain a professional and friendly tone throughout.”
),
agent=support_quality_assurance_agent,
)
crew = Crew(
agents=[support_agent, support_quality_assurance_agent],
tasks=[inquiry_resolution, quality_assurance_review],
verbose=True,
memory=True
)
inputs = {
“customer”: “DeepLearningAI”,
“person”: “Andrew Ng”,
“inquiry”: "I need help with setting up a Crew "
"and kicking it off, specifically "
"how can I add memory to my crew? "
“Can you provide guidance?”
}
result = crew.kickoff(inputs=inputs)
print(result)`
Please help.
I am about to give up on crewai now.