File size: 2,109 Bytes
5196bf2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 | import sys
import os
# Add backend to path
sys.path.append(os.path.join(os.getcwd(), "backend"))
from app.services import llm
from config import settings
def list_registered_tools():
# Bypass registry import for isolated LLM test
print("\n--- Registered Tools (Registry bypass for LLM test) ---")
print(" [Skipping registry load to avoid dependency errors]")
print("\n--- Testing JARVIS Multi-Step Reasoning ---")
# Initialize LLM (Mock/Real)
# Note: This requires .env to be set up correctly for OpenAI or Ollama to be running.
# We will just verify if the loop runs without crashing and logs steps.
messages = [
{"role": "user", "content": "Jarvis, what's the current time and what application am I using right now?"}
]
print("User: " + messages[0]["content"])
try:
response = llm.chat(messages, use_tools=True)
print("\nJARVIS: " + response)
except Exception as e:
print(f"Error during agent test: {e}")
def list_registered_tools():
print("\n--- Registered Tools ---")
tools = registry.get_all_tools_schema()
for t in tools:
print(f" - {t['function']['name']}: {t['function'].get('description')}")
def test_groq_connection():
print("\n--- Testing Groq (Free Cloud) connection ---")
try:
from app.services import llm
from app.config import settings
# Re-init with new settings
llm.init(
openai_api_key=settings.openai_api_key,
openai_model=settings.openai_model,
openai_base_url=settings.openai_base_url,
use_cloud=True
)
messages = [{"role": "user", "content": "Say 'Groq is active' if you can hear me."}]
print(f"Base URL: {settings.openai_base_url}")
print(f"Model: {settings.openai_model}")
response = llm.chat(messages, use_tools=False)
print(f"Response: {response}")
except Exception as e:
print(f"Connection failed: {e}")
if __name__ == "__main__":
list_registered_tools()
test_groq_connection()
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