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function_calling.py
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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.AzureOpenAI(
api_version=os.environ["AZURE_OPENAI_VERSION"],
azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"],
azure_ad_token_provider=token_provider,
)
MODEL_NAME = os.environ["AZURE_OPENAI_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.inference.ai.azure.com", api_key=os.environ["GITHUB_TOKEN"])
MODEL_NAME = os.getenv("GITHUB_MODEL", "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 {API_HOST}: \n")
print(response.choices[0].message.tool_calls[0].function.name)
print(response.choices[0].message.tool_calls[0].function.arguments)