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import openai
import logging
import os
logger = logging.getLogger("llm")
logging.basicConfig(
format="%(asctime)s %(levelname)-8s %(message)s",
level=logging.INFO,
datefmt="%Y-%m-%d %H:%M:%S",
)
MISTRAL_KEY=os.getenv('MISTRAL_API_KEY')
MISTRAL_URL="https://api.mistral.ai/v1"
OPENROUTER_KEY = os.getenv('OPENROUTER_API_KEY')
OPENROUTER_URL = "https://openrouter.ai/api/v1"
model_creds = {
'qwen2.5-vl-72b-instruct': {
"url": OPENROUTER_URL,
"key": OPENROUTER_KEY,
"model": "qwen/qwen2.5-vl-72b-instruct:free"
},
'deepseek_v3': {
"url": OPENROUTER_URL,
"key": OPENROUTER_KEY,
"model": "deepseek/deepseek-chat:free"
},
'llama-3.3-70b': {
"url": OPENROUTER_URL,
"key": OPENROUTER_KEY,
"model": "meta-llama/llama-3.3-70b-instruct:free"
},
'mistral': {
"url": MISTRAL_URL,
"key": MISTRAL_KEY,
"model": "mistral-small-latest"
}
}
class LLM:
def __init__(self, model):
self.url = model_creds[model]["url"]
self.key = model_creds[model]["key"]
self.client = openai.OpenAI(api_key=self.key, base_url=self.url)
self.model = model_creds[model]["model"]
def chat(self, messages, temperature=0):
logger.info("LLM call")
response = self.client.chat.completions.create(
messages=messages,
model=self.model,
temperature=temperature
)
logger.info("LLM call completed")
return response
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