2-assistants/3_tools.py (54 lines of code) (raw):
from openai import OpenAI
from demo_util import color, function_to_schema
import json
client = OpenAI()
# === Demo Loop ===
model = "gpt-4o-mini"
system_message = (
"You are a customer support agent for ACME Inc."
"Always answer in a sentence or less."
"Follow the following routine with the user:"
"1. First, ask probing questions and understand the user's problem deeper.\n"
" - unless the user has already provided a reason.\n"
"2. Propose a fix (make one up).\n"
"3. ONLY if not satisfied, offer a refund.\n"
"4. If accepted, search for the ID and then execute refund."
""
)
def look_up_item(search_query):
"""Use to find item ID.
Search query can be a description or keywords."""
item_id = "item_132612938"
print(color("Found item:", "green"), item_id)
return item_id
def execute_refund(item_id, reason="not provided"):
print(color("\n\n=== Refund Summary ===", "green"))
print(color(f"Item ID: {item_id}", "green"))
print(color(f"Reason: {reason}", "green"))
print("=================\n")
print(color("Refund execution successful!", "green"))
return "success"
tools = [execute_refund, look_up_item]
def run_full_turn(system_message, tools, messages):
tool_schemas = [function_to_schema(f) for f in tools]
response = client.chat.completions.create(
model=model,
messages=[{"role": "system", "content": system_message}] + messages,
tools=tool_schemas,
)
message = response.choices[0].message
messages.append(message)
if message.content:
print(color("Assistant:", "yellow"), message.content)
if not message.tool_calls:
return message
# print tool calls
for tool_call in message.tool_calls:
name = tool_call.function.name
args = json.loads(tool_call.function.arguments)
print(
color("Assistant:", "yellow"),
color(f"Executing tool call: {tool_call.function.name}({args})", "magenta"),
)
return message
messages = []
while True:
user = input(color("User: ", "blue") + "\033[90m")
messages.append({"role": "user", "content": user})
run_full_turn(system_message, tools, messages)