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import openai
import google.generativeai as genai
from config import OPENAI_API_KEY, GEMINI_API_KEY, OPENAI_DEFAULT_MODEL, GEMINI_DEFAULT_MODEL
def configure_llms():
"""
Call this at startup or inside your main app file to configure
OpenAI and Gemini if keys are available.
"""
if OPENAI_API_KEY:
openai.api_key = OPENAI_API_KEY
if GEMINI_API_KEY:
genai.configure(api_key=GEMINI_API_KEY)
def openai_chat(system_prompt, user_prompt, model=None, temperature=0.3):
"""
Basic ChatCompletion with system + user roles for OpenAI.
"""
if not OPENAI_API_KEY:
return "Error: OpenAI API key not provided."
chat_model = model or OPENAI_DEFAULT_MODEL
try:
response = openai.ChatCompletion.create(
model=chat_model,
messages=[
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_prompt}
],
temperature=temperature
)
return response.choices[0].message["content"].strip()
except Exception as e:
return f"Error calling OpenAI: {str(e)}"
def gemini_chat(system_prompt, user_prompt, model_name=None, temperature=0.3):
"""
Basic call to Google PaLM2 via google.generativeai.
"""
if not GEMINI_API_KEY:
return "Error: Gemini API key not provided."
final_model_name = model_name or GEMINI_DEFAULT_MODEL
try:
model = genai.GenerativeModel(model_name=final_model_name)
chat_session = model.start_chat(history=[("system", system_prompt)])
reply = chat_session.send_message(user_prompt, temperature=temperature)
return reply.text
except Exception as e:
return f"Error calling Gemini: {str(e)}"
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