Files
AI-System/llm/bedrock.py
T

63 lines
1.9 KiB
Python

# llm/bedrock.py
import boto3
import asyncio
import time
from config import AWS_REGION, BEDROCK_MODEL
from botocore.exceptions import ClientError
from util.logger import get_logger
logger = get_logger("BEDROCK")
class BedrockClient:
def __init__(self):
self.client = boto3.client(
"bedrock-runtime",
region_name=AWS_REGION,
# aws_access_key_id und aws_secret_access_key werden aus ENV geladen
)
async def chat(self, messages, tools=None):
request = {
"modelId": BEDROCK_MODEL,
"messages": messages,
"inferenceConfig": {
"maxTokens": 800,
"temperature": 0.6,
"topP": 0.95
}
}
if tools and len(tools) > 0:
request["toolConfig"] = {"tools": tools}
start_time = time.time()
logger.info(f"→ Bedrock Aufruf gestartet (Model: {BEDROCK_MODEL})")
try:
loop = asyncio.get_running_loop()
# Mit Timeout (15 Sekunden)
response = await asyncio.wait_for(
loop.run_in_executor(
None,
lambda: self.client.converse(**request)
),
timeout=15.0
)
duration = time.time() - start_time
logger.info(f"← Bedrock Antwort erhalten in {duration:.2f}s")
return response
except asyncio.TimeoutError:
logger.error("❌ Bedrock Timeout nach 15 Sekunden")
raise Exception("Bedrock-Anfrage hat zu lange gedauert (Timeout)")
except ClientError as e:
error_code = e.response['Error']['Code']
logger.error(f"❌ Bedrock ClientError: {error_code} - {e}")
raise Exception(f"Bedrock Fehler: {e}") from e
except Exception as e:
logger.error(f"❌ Unerwarteter Fehler bei Bedrock: {e}")
raise