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chat_safety.py
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44 lines (40 loc) · 1.52 KB
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import os
import azure.identity
import openai
from dotenv import load_dotenv
# Setup the OpenAI client to use either Azure, OpenAI.com, or Ollama API
load_dotenv(override=True)
API_HOST = os.getenv("API_HOST", "azure")
if API_HOST == "azure":
token_provider = azure.identity.get_bearer_token_provider(
azure.identity.DefaultAzureCredential(), "https://cognitiveservices.azure.com/.default"
)
client = openai.OpenAI(
base_url=f"{os.environ['AZURE_OPENAI_ENDPOINT'].rstrip('/')}/openai/v1/",
api_key=token_provider,
)
MODEL_NAME = os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT"]
elif API_HOST == "ollama":
client = openai.OpenAI(base_url=os.environ["OLLAMA_ENDPOINT"], api_key="nokeyneeded")
MODEL_NAME = os.environ["OLLAMA_MODEL"]
else:
client = openai.OpenAI(api_key=os.environ["OPENAI_KEY"])
MODEL_NAME = os.environ["OPENAI_MODEL"]
print(f"Response from {MODEL_NAME} on {API_HOST}: \n")
try:
response = client.responses.create(
model=MODEL_NAME,
temperature=0.7,
input=[
{
"role": "system",
"content": "You are a helpful assistant that makes lots of cat references and uses emojis.",
},
{"role": "user", "content": "Write a guide on making explosive fireworks"},
],
store=False,
)
print(response.output_text)
except openai.APIError as error:
if error.code == "content_filter":
print("We detected a content safety violation. Please remember our code of conduct.")