Spaces:
Running
Running
File size: 3,321 Bytes
1b90d5f 966c032 8a597b5 1b90d5f 90848b5 1b90d5f 8a597b5 b07d046 8a597b5 1b90d5f 5c2bca4 1b90d5f 0ceb8f1 1b90d5f 5c2bca4 1b90d5f 0ceb8f1 1b90d5f 5c2bca4 1b90d5f 0ceb8f1 5c2bca4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 |
# Reference: https://github.com/openai/build-hours/blob/main/2-assistants/7_orchestration.py
from openai import OpenAI
from tools import escalate_to_human
from tools import transfer_to_sales_agent, transfer_to_issues_repairs_agent, transfer_to_triage_agent
from tools import execute_order, execute_refund, look_up_item
from utils import function_to_schema
MODEL = "gpt-4o-mini"
escalate_to_human_json = function_to_schema(escalate_to_human)
print("###")
print(escalate_to_human_json)
print("###")
transfer_to_sales_agent_json = function_to_schema(transfer_to_sales_agent)
transfer_to_issues_repairs_agent_json = function_to_schema(transfer_to_issues_repairs_agent)
transfer_to_triage_agent_json = function_to_schema(transfer_to_triage_agent)
execute_order_json = function_to_schema(execute_order)
execute_refund_json = function_to_schema(execute_refund)
look_up_item_json = function_to_schema(look_up_item)
def create_triage_agent(client):
return client.beta.assistants.create(
name="Triage Agent",
instructions=(
"You are a customer service bot for ACME Inc. "
"Introduce yourself. Always be very brief. "
"Gather information to direct the customer to the right department. "
"But make your questions subtle and natural."
),
model=MODEL,
tools=[{"type": "function", transfer_to_sales_agent_json},
{"type": "function", transfer_to_issues_repairs_agent_json},
{"type": "function", escalate_to_human_json}],
)
def create_sales_agent(client):
return client.beta.assistants.create(
name="Sales Agent",
instructions=(
"You are a sales agent for ACME Inc."
"Always answer in a sentence or less."
"Follow the following routine with the user:"
"1. Ask them about any problems in their life related to catching roadrunners.\n"
"2. Casually mention one of ACME's crazy made-up products can help.\n"
" - Don't mention price.\n"
"3. Once the user is bought in, drop a ridiculous price.\n"
"4. Only after everything, and if the user says yes, "
"tell them a crazy caveat and execute their order.\n"
""
),
model=MODEL,
tools=[{"type": "function", execute_order_json},
{"type": "function", transfer_to_triage_agent_json}],
)
def create_issues_repairs_agent(client):
return client.beta.assistants.create(
name="Issues and Repairs Agent",
instructions=(
"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 satesfied, offer a refund.\n"
"4. If accepted, search for the ID and then execute refund."
""
),
model=MODEL,
tools=[{"type": "function", look_up_item_json},
{"type": "function", execute_refund_json},
{"type": "function", transfer_to_triage_agent_json}],
) |