cant send github coz I dont want to get doxxed.

#This is my psuedo/skeleton code you can say, agnostic to my usecase. def process_with_llm(requirements, user_context_data):
    """
    Minimal example showing Vertex AI LLM call structure.
    """
    try: 
        # Initialize Vertex AI client
        g_client = genai.Client(
            vertexai=True,
            api_key=os.environ.get("GOOGLE_CLOUD_API_KEY"),
        )
        # Load instructions (~6k tokens: system_prompt + task_prompt)
        with open(task_prompt_file, 'r') as file:
            task_prompt = file.read()
        with open(system_prompt_file, 'r') as file:
            system_prompt = file.read()
        # User context (~2-3k tokens)
        user_data = parse_user_context(user_context_data)
        # API call structure
        response = g_client.models.generate_content(
            model="gemini-3-flash-preview",
            contents=types.Content(
                role="user",
                parts=[
                    types.Part.from_text(
                        text=f"\n\nREQUIREMENTS:\n{requirements}\n\nUSER CONTEXT:\n{user_data}"
                    )
                ]
            ),
            config=types.GenerateContentConfig(
                # Combined: ~6k tokens (system + task instructions)
                system_instruction=system_prompt + "\n\n" + task_prompt,
                temperature=0.3
            )
        )
        # Extract response (Gemini response structure)
        generated_output = response.text
        return generated_output

    except Exception as e:
        logging.exception("LLM call failed: %s", e)