44 lines
1.4 KiB
Python
44 lines
1.4 KiB
Python
import argparse
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import os
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from dotenv import load_dotenv
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from google import genai
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from google.genai import types
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from prompts import system_prompt
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from functions.call_function import available_functions
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load_dotenv()
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api_key = os.environ.get("GEMINI_API_KEY")
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if not api_key:
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raise RuntimeError("API Key not found")
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client = genai.Client(api_key=api_key)
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parser = argparse.ArgumentParser(description="Chatbot")
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parser.add_argument("user_prompt", type=str, help="User prompt")
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parser.add_argument("--verbose", action="store_true", help="Enable verbose output")
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args = parser.parse_args()
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messages = [types.Content(role="user", parts=[types.Part(text=args.user_prompt)])]
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response = client.models.generate_content(
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model="gemini-2.5-flash",
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contents=messages,
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config=types.GenerateContentConfig(
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system_instruction=system_prompt,
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tools=[available_functions],
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),
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)
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if not response.usage_metadata:
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raise RuntimeError("Cannot get usage metadata")
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if args.verbose:
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print(f"User prompt: {args.user_prompt}")
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print(f"Prompt tokens: {response.usage_metadata.prompt_token_count}")
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print(f"Response tokens: {response.usage_metadata.candidates_token_count}")
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function_calls = response.function_calls
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if function_calls:
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for function_call in function_calls:
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print(f"Calling function: {function_call.name}({function_call.args})")
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else:
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print(response.text)
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