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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", "github")

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=os.environ["AZURE_OPENAI_ENDPOINT"],

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"]

elif API_HOST == "github":

client = openai.OpenAI(base_url="https://models.github.ai/inference", api_key=os.environ["GITHUB_TOKEN"])

MODEL_NAME = os.getenv("GITHUB_MODEL", "openai/gpt-4o")

else:

client = openai.OpenAI(api_key=os.environ["OPENAI_KEY"])

MODEL_NAME = os.environ["OPENAI_MODEL"]

tools = [

{

"type": "function",

"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.chat.completions.create(

model=MODEL_NAME,

messages=[

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

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

],

tools=tools,

)

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

if response.choices[0].message.tool_calls:

tool_call = response.choices[0].message.tool_calls[0]

print(tool_call.function.name)

print(tool_call.function.arguments)

else:

print(response.choices[0].message.content)