96 lines
2.6 KiB
Python
96 lines
2.6 KiB
Python
import os
|
|
import sys
|
|
from dotenv import load_dotenv
|
|
from google import genai
|
|
from google.genai import types
|
|
from functions.get_files_info import schema_get_files_info
|
|
from functions.get_file_content import schema_get_file_content
|
|
from functions.run_python_file import schema_run_python_file
|
|
from functions.write_file import schema_write_file
|
|
|
|
available_functions = types.Tool(
|
|
function_declarations=[
|
|
schema_get_files_info,
|
|
schema_get_file_content,
|
|
schema_run_python_file,
|
|
schema_write_file,
|
|
]
|
|
)
|
|
|
|
system_prompt = """
|
|
You are a helpful AI coding agent.
|
|
|
|
When a user asks a question or makes a request, make a function call plan.
|
|
You can perform the following operations:
|
|
|
|
- List files and directories
|
|
- Read file contents
|
|
- Execute Python files with optional arguments
|
|
- Write or overwrite files
|
|
|
|
All paths you provide should be relative to the working directory.
|
|
You do not need to specify the working directory in your function calls
|
|
as it is automatically injected for security reasons.
|
|
"""
|
|
|
|
config=types.GenerateContentConfig(
|
|
tools=[available_functions], system_instruction=system_prompt
|
|
)
|
|
|
|
messages = []
|
|
|
|
load_dotenv()
|
|
api_key = os.environ.get("GEMINI_API_KEY")
|
|
|
|
client = genai.Client(api_key=api_key)
|
|
|
|
def add_message(user, message):
|
|
messages.append({"role": user, "parts": [{"text": message}]})
|
|
|
|
def main():
|
|
if len(sys.argv) < 2:
|
|
print("Error: No prompt provided.\nUsage: uv run main.py \"<your prompt here>\" [--verbose]")
|
|
sys.exit(1)
|
|
|
|
args = sys.argv[1:]
|
|
|
|
verbose = False
|
|
if "--verbose" in args:
|
|
verbose = True
|
|
args.remove("--verbose")
|
|
|
|
user_prompt = " ".join(args)
|
|
|
|
if verbose:
|
|
print(f'User prompt: "{user_prompt}"')
|
|
|
|
add_message("user", user_prompt)
|
|
|
|
response = client.models.generate_content(
|
|
model="gemini-2.0-flash-001",
|
|
contents=messages,
|
|
config=config,
|
|
)
|
|
|
|
if response.candidates[0].content.parts:
|
|
for part in response.candidates[0].content.parts:
|
|
if part.function_call:
|
|
function_call_part = part.function_call
|
|
print(f"Calling function: {function_call_part.name}({function_call_part.args})")
|
|
elif part.text:
|
|
reply_text = part.text
|
|
|
|
# Add AI response to history
|
|
add_message("model", reply_text)
|
|
|
|
print(reply_text)
|
|
|
|
if verbose:
|
|
print(f"Prompt tokens: {response.usage_metadata.prompt_token_count}")
|
|
print(f"Response tokens: {response.usage_metadata.candidates_token_count}")
|
|
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|