Description

When running an example of using memory from CrewAI documentation, I got this error:
raise NotFoundError(
litellm.exceptions.NotFoundError: litellm.NotFoundError: NotFoundError: OpenAIException - Error code: 404 - {'error': {'code': '404', 'message': 'Resource not found'}}

Steps to Reproduce

Below is my code:
from crewai import Agent, Task, Crew, Process

base_url = 'xyz'
api_version = 'xyz'
api_key = 'xyz'

from crewai import LLM
llm = LLM(
model="azure/gpt-4o-mini",
api_key=api_key,
api_base=base_url
)

azure_embed_config = {
"provider": "azure",
"config": {
"model": "text-embedding-ada-002",
"api_key": api_key,
"api_base": base_url,
"api_version": api_version,
"api_type": "azure",
}
}

Define your agents

researcher = Agent(
role="Researcher",
goal="Conduct thorough research and analysis on AI and AI agents",
backstory="You're an expert researcher, specialized in technology, software engineering, AI, and startups. You work as a freelancer and are currently researching for a new client.",
allow_delegation=False,
memory=True,
llm=llm,
)

writer = Agent(
role="Senior Writer",
goal="Create compelling content about AI and AI agents",
backstory="You're a senior writer, specialized in technology, software engineering, AI, and startups. You work as a freelancer and are currently writing content for a new client.",
allow_delegation=False,
memory=True,
)

Define your task

task = Task(
description="Generate a list of 5 interesting ideas for an article, then write one captivating paragraph for each idea that showcases the potential of a full article on this topic. Return the list of ideas with their paragraphs and your notes.",
expected_output="5 bullet points, each with a paragraph and accompanying notes.",
agent=researcher
)

Define the manager agent

manager = Agent(
role="Project Manager",
goal="Efficiently manage the crew and ensure high-quality task completion",
backstory="You're an experienced project manager, skilled in overseeing complex projects and guiding teams to success. Your role is to coordinate the efforts of the crew members, ensuring that each task is completed on time and to the highest standard.",
allow_delegation=True,
memory=True,
)

crew = Crew(
agents=[researcher, writer],
tasks=[task],
manager_agent=manager,
process=Process.hierarchical,
memory=True,
verbose=True,
embedder=azure_embed_config,
manager_llm=llm,
)

Start the crew's work

result = crew.kickoff()

Expected behavior

See feedbacks of using memory

Screenshots/Code snippets

See the code above

Operating System

macOS Sonoma

Python Version

3.10

crewAI Version

0.102

crewAI Tools Version

0.36

Virtual Environment

Conda

Evidence

See the code above

Possible Solution

None

Additional context

None