settings.py

import os
from dotenv import load_dotenv
from config.models import Groq, Gemini, Ollama

load_dotenv()

LLM_CONFIG = os.getenv("LLM_CONFIG", "local")

def get_model_client(task: str = "analysis"):
    if LLM_CONFIG == "local":
        return _local_client()
    if LLM_CONFIG =="cloud":
        return _cheap_client() if task == "data" else _analysis_client()
    
    return _local_client() if task == "data" else _analysis_client()


def _local_client():
    from autogen_ext.models.openai import OpenAIChatCompletionClient
    return OpenAIChatCompletionClient(
        model = os.getenv("LOCAL_MODEL", Ollama.DEFAULT),
        base_url = os.getenv("LOCAL_BASE_URL", Ollama.BASE_URL),
        api_key = "ollama",
        model_capabilities = {
            "vision": False,
            "function_calling": False,
            "json_output":  True,
        },
    )
    
    
def _analysis_client():
    groq_key = os.getenv("GROQ_API_KEY", "")
    if groq_key:
        from autogen_ext.models.openai import OpenAIChatCompletionClient
        return OpenAIChatCompletionClient(
            model    = os.getenv("ANALYSIS_MODEL", Groq.ANALYSIS),
            base_url = Groq.BASE_URL,
            api_key  = groq_key,
            model_capabilities={
                "vision": False,
                "function_calling": True,
                "json_output": True,
            },
        )

    google_key = os.getenv("GOOGLE_API_KEY", "")
    if google_key:
        from autogen_ext.models.openai import OpenAIChatCompletionClient
        return OpenAIChatCompletionClient(
            model    = os.getenv("ANALYSIS_MODEL", Gemini.ANALYSIS),
            base_url = Gemini.BASE_URL,
            api_key  = google_key,
            model_capabilities={
                "vision": False,
                "function_calling": True,
                "json_output": True,
            },
        )

    raise RuntimeError(
        "No LLM key available. Set GROQ_API_KEY or GOOGLE_API_KEY."
    )
    
    
def _cheap_client():
    groq_key = os.getenv("GROQ_API_KEY", "")
    if groq_key:
        from autogen_ext.models.openai import OpenAIChatCompletionClient
        return OpenAIChatCompletionClient(
            model    = os.getenv("DATA_MODEL", Groq.DATA),
            base_url = Groq.BASE_URL,
            api_key  = groq_key,
            model_capabilities={
                "vision": False,
                "function_calling": True,
                "json_output": True,
            },
        )

    google_key = os.getenv("GOOGLE_API_KEY", "")
    if google_key:
        from autogen_ext.models.openai import OpenAIChatCompletionClient
        return OpenAIChatCompletionClient(
            model    = os.getenv("DATA_MODEL", Gemini.DATA),
            base_url = Gemini.BASE_URL,
            api_key  = google_key,
            model_capabilities={
                "vision": False,
                "function_calling": True,
                "json_output": True,
            },
        )

    raise RuntimeError(
        "No LLM key available. Set GROQ_API_KEY or GOOGLE_API_KEY."
    )
    

APP_ENV = os.getenv("APP_ENV", "development")
ANALYSIS_TIMEOUT = int(os.getenv("ANALYSIS_TIMEOUT", "120"))
MAX_CONCURRENT = int(os.getenv("MAX_CONCURRENT", "3"))
NEWS_API_KEY = os.getenv("NEWS_API_KEY", "")