I tested my Gemini API key and the model using the following code:
import google.generativeai as genai
import os
from google.api_core import exceptions
API_KEY = "MY_API_KEY"
genai.configure(api_key=API_KEY)
model_name = "gemini-2.5-flash-preview-04-17"
try:
# Check if the model exists and is accessible
model = genai.get_model(model_name)
print(f"Successfully accessed model info for: {model.name}")
# Try generating content
print(f"Attempting to generate content using {model_name}...")
model = genai.GenerativeModel(model_name)
response = model.generate_content("Tell me a short story.")
# Print the response if successful
print("\n--- API Response ---")
print(response.text)
print("--------------------")
except exceptions.PermissionDenied as e:
print(f"\n--- Error: Permission Denied ---")
print(f"Your API key is not authorized for model '{model_name}'.")
print(f"Details: {e}")
print("This indicates an issue with your API key's access on Google's side.")
except exceptions.ResourceExhausted as e:
print(f"\n--- Error: Resource Exhausted ---")
print(f"You have exceeded your quota or rate limits for model '{model_name}'.")
print(f"Details: {e}")
print("This indicates a quota/limit issue on Google's side.")
except exceptions.NotFound as e:
print(f"\n--- Error: Model Not Found ---")
print(f"The model '{model_name}' was not found or is not available to your key.")
print(f"Details: {e}")
print("This indicates the model name is wrong or it's not available to your key.")
except Exception as e:
print(f"\n--- An unexpected error occurred ---")
print(f"Error type: {type(e).__name__}")
print(f"Details: {e}")
print("This might be an API issue or another problem.")
The response came back without error.
I can confirm also that other Gemini models, such as “gemini-2.5-pro-exp” works fine with Cursor under my API.