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import os
import argparse
from dotenv import load_dotenv
from google import genai
from google.genai import types
from prompt import system_prompt
from call_functions import available_functions, call_function
load_dotenv()
api_key = os.environ.get("GEMINI_API_KEY")
client = genai.Client(api_key=api_key)
def main():
parser = argparse.ArgumentParser(description="Chatbot")
parser.add_argument("user_prompt", type=str, help="User prompt")
parser.add_argument("--verbose", action="store_true", help="Enable verbose output")
args = parser.parse_args()
messages = [types.Content(role="user", parts=[types.Part(text=args.user_prompt)])]
for _ in range(20):
response = client.models.generate_content(
model="gemini-2.5-flash",
contents=messages,
config=types.GenerateContentConfig(
tools=[available_functions], system_instruction=system_prompt
),
)
candidate = response.candidates[0]
messages.append(candidate.content)
function_calls = response.function_calls
if function_calls is None or len(function_calls) <= 0:
if args.verbose:
print("User prompt: ", args.user_prompt)
print("Prompt tokens:", response.usage_metadata.prompt_token_count)
print("Response tokens:", response.usage_metadata.candidates_token_count)
print(response.text)
exit(0)
try:
for function_call in function_calls:
function_call_result = call_function(function_call, args.verbose)
if function_call_result.parts is None or len(function_call_result.parts) <= 0:
raise Exception("Function call result has no parts")
function_response = function_call_result.parts[0].function_response
if function_response is None:
raise Exception("Function response is None")
result = function_response.response
if args.verbose:
print(f"-> {result}")
messages.append(function_call_result)
except Exception as e:
print(f"Error calling function: {e}")
exit(1)
print("Maximum iterations reached")
exit(1)
if __name__ == "__main__":
main()