[Python] Import "llama_index.llms.ollama" could not be resolved

I have the following imports for a python file thats meant to be a multi llm agent soon. I wanted to use llama_index and I found a nice video from Tech with Tim which explains everything very well. I set up the venv, activated it and installed all requirements including llama_index and llama_parse. This ist my code but I dont think its neccessary:

from llama_index.llms.ollama import Ollama
from llama_parse import LlamaParse
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader, PromptTemplate
from llama_index.core.embeddings import resolve_embed_model
from llama_index.core.tools import QueryEngineTool, ToolMetadata
from llama_index.core.agent import ReActAgent
from pydantic import BaseModel
from llama_index.core.output_parsers import PydanticOutputParser
from llama_index.core.query_pipeline import QueryPipeline
from prompts import context, code_parser_template
from code_reader import code_reader
from dotenv import load_dotenv
import os
import ast

load_dotenv()

llm = Ollama(model="mistral", request_timeout=30.0)

parser = LlamaParse(result_type="markdown")

file_extractor = {".pdf": parser}
documents = SimpleDirectoryReader("./data", file_extractor=file_extractor).load_data()

embed_model = resolve_embed_model("local:BAAI/bge-m3")
vector_index = VectorStoreIndex.from_documents(documents, embed_model=embed_model)
query_engine = vector_index.as_query_engine(llm=llm)

tools = [
QueryEngineTool(
query_engine=query_engine,
metadata=ToolMetadata(
name="api_documentation",
description="this gives documentation about code for an API. Use this for reading docs for the API",
),
),
code_reader,
]

code_llm = Ollama(model="codellama")
agent = ReActAgent.from_tools(tools, llm=code_llm, verbose=True, context=context)


class CodeOutput(BaseModel):
code: str
description: str
filename: str


parser = PydanticOutputParser(CodeOutput)
json_prompt_str = parser.format(code_parser_template)
json_prompt_tmpl = PromptTemplate(json_prompt_str)
output_pipeline = QueryPipeline(chain=[json_prompt_tmpl, llm])

while (prompt := input("Enter a prompt (q to quit): ")) != "q":
retries = 0

while retries < 3:
try:
result = agent.query(prompt)
next_result = output_pipeline.run(response=result)
cleaned_json = ast.literal_eval(str(next_result).replace("assistant:", ""))
break
except Exception as e:
retries += 1
print(f"Error occured, retry #{retries}:", e)

if retries >= 3:
print("Unable to process request, try again...")
continue

print("Code generated")
print(cleaned_json["code"])
print("\n\nDesciption:", cleaned_json["description"])

filename = cleaned_json["filename"]

try:
with open(os.path.join("output", filename), "w") as f:
f.write(cleaned_json["code"])
print("Saved file", filename)
except:
print("Error saving file...")



For every single llama_index import and the llama_parse import I get Import "xxx" could not be resolved. What am I doing wrong?

My Python Version is Python 3.11.8

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