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from __future__ import annotations | |
from typing import Any | |
from openai.types.responses.response_text_delta_event import ResponseTextDeltaEvent | |
from .agent import Agent | |
from .items import ItemHelpers, TResponseInputItem | |
from .result import RunResultBase | |
from .run import Runner | |
from .stream_events import AgentUpdatedStreamEvent, RawResponsesStreamEvent, RunItemStreamEvent | |
async def run_demo_loop(agent: Agent[Any], *, stream: bool = True) -> None: | |
"""Run a simple REPL loop with the given agent. | |
This utility allows quick manual testing and debugging of an agent from the | |
command line. Conversation state is preserved across turns. Enter ``exit`` | |
or ``quit`` to stop the loop. | |
Args: | |
agent: The starting agent to run. | |
stream: Whether to stream the agent output. | |
""" | |
current_agent = agent | |
input_items: list[TResponseInputItem] = [] | |
while True: | |
try: | |
user_input = input(" > ") | |
except (EOFError, KeyboardInterrupt): | |
print() | |
break | |
if user_input.strip().lower() in {"exit", "quit"}: | |
break | |
if not user_input: | |
continue | |
input_items.append({"role": "user", "content": user_input}) | |
result: RunResultBase | |
if stream: | |
result = Runner.run_streamed(current_agent, input=input_items) | |
async for event in result.stream_events(): | |
if isinstance(event, RawResponsesStreamEvent): | |
if isinstance(event.data, ResponseTextDeltaEvent): | |
print(event.data.delta, end="", flush=True) | |
elif isinstance(event, RunItemStreamEvent): | |
if event.item.type == "tool_call_item": | |
print("\n[tool called]", flush=True) | |
elif event.item.type == "tool_call_output_item": | |
print(f"\n[tool output: {event.item.output}]", flush=True) | |
elif event.item.type == "message_output_item": | |
message = ItemHelpers.text_message_output(event.item) | |
print(message, end="", flush=True) | |
elif isinstance(event, AgentUpdatedStreamEvent): | |
print(f"\n[Agent updated: {event.new_agent.name}]", flush=True) | |
print() | |
else: | |
result = await Runner.run(current_agent, input_items) | |
if result.final_output is not None: | |
print(result.final_output) | |
current_agent = result.last_agent | |
input_items = result.to_input_list() | |