presenton/servers/fastapi/api/utils/model_utils.py

84 lines
2.3 KiB
Python

import os
from openai import AsyncOpenAI
from api.models import SelectedLLMProvider
def is_ollama_selected() -> bool:
return get_selected_llm_provider() == SelectedLLMProvider.OLLAMA
def get_llm_provider_url_or():
return os.getenv("LLM_PROVIDER_URL") or "http://localhost:11434"
def get_llm_api_key_or():
return os.getenv("LLM_API_KEY") or "ollama"
def get_selected_llm_provider() -> SelectedLLMProvider:
return SelectedLLMProvider(os.getenv("LLM"))
def get_model_base_url():
selected_llm = get_selected_llm_provider()
if selected_llm == SelectedLLMProvider.OPENAI:
return "https://api.openai.com/v1"
elif selected_llm == SelectedLLMProvider.GOOGLE:
return "https://generativelanguage.googleapis.com/v1beta/openai"
elif selected_llm == SelectedLLMProvider.OLLAMA:
return os.path.join(get_llm_provider_url_or(), "v1")
else:
raise ValueError(f"Invalid LLM provider")
def get_llm_api_key():
selected_llm = get_selected_llm_provider()
if selected_llm == SelectedLLMProvider.OPENAI:
return os.getenv("OPENAI_API_KEY")
elif selected_llm == SelectedLLMProvider.GOOGLE:
return os.getenv("GOOGLE_API_KEY")
elif selected_llm == SelectedLLMProvider.OLLAMA:
return get_llm_api_key_or()
else:
raise ValueError(f"Invalid LLM API key")
def get_llm_client():
client = AsyncOpenAI(
base_url=get_model_base_url(),
api_key=get_llm_api_key(),
)
return client
def get_large_model():
selected_llm = get_selected_llm_provider()
if selected_llm == SelectedLLMProvider.OPENAI:
return "gpt-4.1"
elif selected_llm == SelectedLLMProvider.GOOGLE:
return "gemini-2.0-flash"
else:
return os.getenv("MODEL")
def get_small_model():
selected_llm = get_selected_llm_provider()
if selected_llm == SelectedLLMProvider.OPENAI:
return "gpt-4.1-mini"
elif selected_llm == SelectedLLMProvider.GOOGLE:
return "gemini-2.0-flash"
else:
return os.getenv("MODEL")
def get_nano_model():
selected_llm = get_selected_llm_provider()
if selected_llm == SelectedLLMProvider.OPENAI:
return "gpt-4.1-nano"
elif selected_llm == SelectedLLMProvider.GOOGLE:
return "gemini-2.0-flash"
else:
return os.getenv("MODEL")