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File size: 2,256 Bytes
2f4af3f 62db04d 2f4af3f 62db04d 2f4af3f 62db04d 2f4af3f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | import os
from config import Config
class GroqClient:
def __init__(self):
self.config = Config()
self.api_key = self.config.GROQ_API_KEY or os.getenv("GROQ_API_KEY")
self.client = None
if self.api_key:
try:
from groq import Groq
self.client = Groq(api_key=self.api_key)
print("[INFO] Groq client initialized successfully")
except ImportError:
print("[WARN] groq package not installed. Run 'pip install groq'.")
except Exception as e:
print(f"[ERROR] Failed to initialize Groq client: {e}")
else:
print("[WARN] GROQ_API_KEY not found in configuration or environment.")
def is_available(self) -> bool:
"""Check if Groq API client is available and configured"""
return self.client is not None
def generate_response(self, system_prompt: str, user_prompt: str, max_tokens: int = 1024, response_format = None) -> str:
"""Generate response from Groq LLM"""
if not self.is_available():
print("[WARN] GroqClient not available for generating response.")
return ""
try:
# Use stable model name or configured fallback
model = self.config.GROQ_MODEL
# Common model fallbacks if config is generic or outdated
if model == "openai/gpt-oss-120b":
model = "llama-3.1-8b-instant" # standard Groq model
params = {
"model": model,
"messages": [
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_prompt}
],
"temperature": getattr(self.config, 'GROQ_TEMPERATURE', 0.7),
"max_completion_tokens": max_tokens,
}
if response_format is not None:
params["response_format"] = response_format
completion = self.client.chat.completions.create(**params)
return completion.choices[0].message.content
except Exception as e:
print(f"[ERROR] Groq API call failed: {e}")
return ""
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