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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"]

tools = [

{

"type": "function",

"name": "lookup_weather",

"description": "Lookup the weather for a given city name or zip code.",

"parameters": {

"type": "object",

"properties": {

"city_name": {

"type": "string",

"description": "The city name",

},

"zip_code": {

"type": "string",

"description": "The zip code",

},

},

"additionalProperties": False,

},

}

]

response = client.responses.create(

model=MODEL_NAME,

input=[

{"role": "system", "content": "You are a weather chatbot."},

{"role": "user", "content": "Hi, whats the weather like in berkeley?"},

],

tools=tools,

store=False,

)

print(f"Response from {MODEL_NAME} on {API_HOST}: \n")

tool_calls = [item for item in response.output if item.type == "function_call"]

if tool_calls:

tool_call = tool_calls[0]

print(tool_call.name)

print(tool_call.arguments)

else:

print(response.output_text)