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if not api_key:
print("❗ OPENAI_API_KEY not found in .env file.")
return
client = openai.OpenAI(api_key=api_key)
try:
print("Testing API key...")
models = client.models.list()
print(f"API key is valid. {len(models.data)} models available:\n")
for model in models.data:
print(f"- {model.id}")
except openai.AuthenticationError:
print("❌ Invalid API key.")
except Exception as e:
print(f"⚠️ An error occurred: {e}")
if name == "main":
test_api_key()
Result from script:
Testing API key...
API key is valid. 64 models available:
gpt-4o-audio-preview-2024-12-17
dall-e-3
dall-e-2
gpt-4o-audio-preview-2024-10-01
gpt-4-turbo-preview
text-embedding-3-small
gpt-4-1106-preview
gpt-4-turbo
gpt-4-turbo-2024-04-09
gpt-4.1-nano
gpt-4.1-nano-2025-04-14
gpt-4o-realtime-preview-2024-10-01
gpt-4o-realtime-preview
babbage-002
gpt-4....
Error from Browser-Use WebUI
INFO [src.webui.components.browser_use_agent_tab] Submit button clicked for new task.
INFO [src.webui.components.browser_use_agent_tab] Initializing LLM: Provider=openai, Model=gpt-4.1-nano-2025-04-14, Temp=0.6
INFO [src.webui.components.browser_use_agent_tab] Launching new browser instance.
INFO [src.webui.components.browser_use_agent_tab] Creating new browser context.
INFO [src.webui.components.browser_use_agent_tab] Initializing new agent for task: go to google.com and type 'openai" click search and return the first url
INFO [agent] 🧠 Starting an agent with main_model=gpt-4.1-nano-2025-04-14 +tools +vision +memory, planner_model=None, extraction_model=gpt-4.1-nano-2025-04-14
ERROR [agent]
❌ LLM ChatOpenAI connection test failed. Check that OPENAI_API_KEY is set correctly in .env and that the LLM API account has sufficient funding.
Connection error.
:241: DeprecationWarning: builtin type SwigPyPacked has no module attribute
:241: DeprecationWarning: builtin type SwigPyObject has no module attribute
:241: DeprecationWarning: builtin type swigvarlink has no module attribute
INFO [mem0.vector_stores.faiss] Loaded FAISS index from /home/jim/.mem0/migrations_faiss/mem0_migrations.faiss with 19 vectors
INFO [mem0.vector_stores.faiss] Inserted 1 vectors into collection mem0_migrations
INFO [agent] 🚀 Starting task: go to google.com and type 'openai" click search and return the first url
INFO [agent] 📍 Step 1
ERROR [agent] ❌ Result failed 1/3 times:
The text was updated successfully, but these errors were encountered:
Upon launching agent. verified key in .env via script.....
import openai
import os
from dotenv import load_dotenv
def test_api_key():
load_dotenv()
api_key = os.getenv("OPENAI_API_KEY")
if name == "main":
test_api_key()
Result from script:
Testing API key...
API key is valid. 64 models available:
Error from Browser-Use WebUI
INFO [src.webui.components.browser_use_agent_tab] Submit button clicked for new task.
INFO [src.webui.components.browser_use_agent_tab] Initializing LLM: Provider=openai, Model=gpt-4.1-nano-2025-04-14, Temp=0.6
INFO [src.webui.components.browser_use_agent_tab] Launching new browser instance.
INFO [src.webui.components.browser_use_agent_tab] Creating new browser context.
INFO [src.webui.components.browser_use_agent_tab] Initializing new agent for task: go to google.com and type 'openai" click search and return the first url
INFO [agent] 🧠 Starting an agent with main_model=gpt-4.1-nano-2025-04-14 +tools +vision +memory, planner_model=None, extraction_model=gpt-4.1-nano-2025-04-14
ERROR [agent]
❌ LLM ChatOpenAI connection test failed. Check that OPENAI_API_KEY is set correctly in .env and that the LLM API account has sufficient funding.
Connection error.
:241: DeprecationWarning: builtin type SwigPyPacked has no module attribute
:241: DeprecationWarning: builtin type SwigPyObject has no module attribute
:241: DeprecationWarning: builtin type swigvarlink has no module attribute
INFO [mem0.vector_stores.faiss] Loaded FAISS index from /home/jim/.mem0/migrations_faiss/mem0_migrations.faiss with 19 vectors
INFO [mem0.vector_stores.faiss] Inserted 1 vectors into collection mem0_migrations
INFO [agent] 🚀 Starting task: go to google.com and type 'openai" click search and return the first url
INFO [agent] 📍 Step 1
ERROR [agent] ❌ Result failed 1/3 times:
The text was updated successfully, but these errors were encountered: