1790 lines
62 KiB
Python
1790 lines
62 KiB
Python
from __future__ import annotations
|
|
|
|
import asyncio
|
|
import time
|
|
from typing import Any
|
|
from unittest.mock import patch
|
|
|
|
import pytest
|
|
|
|
from agents import (
|
|
Agent,
|
|
GuardrailFunctionOutput,
|
|
InputGuardrail,
|
|
InputGuardrailTripwireTriggered,
|
|
OutputGuardrail,
|
|
RunConfig,
|
|
RunContextWrapper,
|
|
Runner,
|
|
TResponseInputItem,
|
|
UserError,
|
|
function_tool,
|
|
)
|
|
from agents.guardrail import input_guardrail, output_guardrail
|
|
from agents.result import RunResultStreaming
|
|
from agents.run_internal.guardrails import run_input_guardrails, run_input_guardrails_with_queue
|
|
|
|
from .fake_model import FakeModel
|
|
from .test_responses import get_function_tool_call, get_text_message
|
|
|
|
SHORT_DELAY = 0.01
|
|
MEDIUM_DELAY = 0.03
|
|
LONG_DELAY = 0.05
|
|
|
|
|
|
def get_sync_guardrail(triggers: bool, output_info: Any | None = None):
|
|
def sync_guardrail(
|
|
context: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
):
|
|
return GuardrailFunctionOutput(
|
|
output_info=output_info,
|
|
tripwire_triggered=triggers,
|
|
)
|
|
|
|
return sync_guardrail
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_run_input_guardrails_returns_empty_for_no_guardrails() -> None:
|
|
result = await run_input_guardrails(
|
|
agent=Agent(name="test"),
|
|
guardrails=[],
|
|
input="test",
|
|
context=RunContextWrapper(context=None),
|
|
)
|
|
|
|
assert result == []
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_sync_input_guardrail():
|
|
guardrail = InputGuardrail(guardrail_function=get_sync_guardrail(triggers=False))
|
|
result = await guardrail.run(
|
|
agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None)
|
|
)
|
|
assert not result.output.tripwire_triggered
|
|
assert result.output.output_info is None
|
|
|
|
guardrail = InputGuardrail(guardrail_function=get_sync_guardrail(triggers=True))
|
|
result = await guardrail.run(
|
|
agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None)
|
|
)
|
|
assert result.output.tripwire_triggered
|
|
assert result.output.output_info is None
|
|
|
|
guardrail = InputGuardrail(
|
|
guardrail_function=get_sync_guardrail(triggers=True, output_info="test")
|
|
)
|
|
result = await guardrail.run(
|
|
agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None)
|
|
)
|
|
assert result.output.tripwire_triggered
|
|
assert result.output.output_info == "test"
|
|
|
|
|
|
def get_async_input_guardrail(triggers: bool, output_info: Any | None = None):
|
|
async def async_guardrail(
|
|
context: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
):
|
|
return GuardrailFunctionOutput(
|
|
output_info=output_info,
|
|
tripwire_triggered=triggers,
|
|
)
|
|
|
|
return async_guardrail
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_async_input_guardrail():
|
|
guardrail = InputGuardrail(guardrail_function=get_async_input_guardrail(triggers=False))
|
|
result = await guardrail.run(
|
|
agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None)
|
|
)
|
|
assert not result.output.tripwire_triggered
|
|
assert result.output.output_info is None
|
|
|
|
guardrail = InputGuardrail(guardrail_function=get_async_input_guardrail(triggers=True))
|
|
result = await guardrail.run(
|
|
agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None)
|
|
)
|
|
assert result.output.tripwire_triggered
|
|
assert result.output.output_info is None
|
|
|
|
guardrail = InputGuardrail(
|
|
guardrail_function=get_async_input_guardrail(triggers=True, output_info="test")
|
|
)
|
|
result = await guardrail.run(
|
|
agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None)
|
|
)
|
|
assert result.output.tripwire_triggered
|
|
assert result.output.output_info == "test"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_invalid_input_guardrail_raises_user_error():
|
|
with pytest.raises(UserError):
|
|
# Purposely ignoring type error
|
|
guardrail = InputGuardrail(guardrail_function="foo") # type: ignore
|
|
await guardrail.run(
|
|
agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None)
|
|
)
|
|
|
|
|
|
def get_sync_output_guardrail(triggers: bool, output_info: Any | None = None):
|
|
def sync_guardrail(context: RunContextWrapper[Any], agent: Agent[Any], agent_output: Any):
|
|
return GuardrailFunctionOutput(
|
|
output_info=output_info,
|
|
tripwire_triggered=triggers,
|
|
)
|
|
|
|
return sync_guardrail
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_sync_output_guardrail():
|
|
guardrail = OutputGuardrail(guardrail_function=get_sync_output_guardrail(triggers=False))
|
|
result = await guardrail.run(
|
|
agent=Agent(name="test"), agent_output="test", context=RunContextWrapper(context=None)
|
|
)
|
|
assert not result.output.tripwire_triggered
|
|
assert result.output.output_info is None
|
|
|
|
guardrail = OutputGuardrail(guardrail_function=get_sync_output_guardrail(triggers=True))
|
|
result = await guardrail.run(
|
|
agent=Agent(name="test"), agent_output="test", context=RunContextWrapper(context=None)
|
|
)
|
|
assert result.output.tripwire_triggered
|
|
assert result.output.output_info is None
|
|
|
|
guardrail = OutputGuardrail(
|
|
guardrail_function=get_sync_output_guardrail(triggers=True, output_info="test")
|
|
)
|
|
result = await guardrail.run(
|
|
agent=Agent(name="test"), agent_output="test", context=RunContextWrapper(context=None)
|
|
)
|
|
assert result.output.tripwire_triggered
|
|
assert result.output.output_info == "test"
|
|
|
|
|
|
def get_async_output_guardrail(triggers: bool, output_info: Any | None = None):
|
|
async def async_guardrail(
|
|
context: RunContextWrapper[Any], agent: Agent[Any], agent_output: Any
|
|
):
|
|
return GuardrailFunctionOutput(
|
|
output_info=output_info,
|
|
tripwire_triggered=triggers,
|
|
)
|
|
|
|
return async_guardrail
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_async_output_guardrail():
|
|
guardrail = OutputGuardrail(guardrail_function=get_async_output_guardrail(triggers=False))
|
|
result = await guardrail.run(
|
|
agent=Agent(name="test"), agent_output="test", context=RunContextWrapper(context=None)
|
|
)
|
|
assert not result.output.tripwire_triggered
|
|
assert result.output.output_info is None
|
|
|
|
guardrail = OutputGuardrail(guardrail_function=get_async_output_guardrail(triggers=True))
|
|
result = await guardrail.run(
|
|
agent=Agent(name="test"), agent_output="test", context=RunContextWrapper(context=None)
|
|
)
|
|
assert result.output.tripwire_triggered
|
|
assert result.output.output_info is None
|
|
|
|
guardrail = OutputGuardrail(
|
|
guardrail_function=get_async_output_guardrail(triggers=True, output_info="test")
|
|
)
|
|
result = await guardrail.run(
|
|
agent=Agent(name="test"), agent_output="test", context=RunContextWrapper(context=None)
|
|
)
|
|
assert result.output.tripwire_triggered
|
|
assert result.output.output_info == "test"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_invalid_output_guardrail_raises_user_error():
|
|
with pytest.raises(UserError):
|
|
# Purposely ignoring type error
|
|
guardrail = OutputGuardrail(guardrail_function="foo") # type: ignore
|
|
await guardrail.run(
|
|
agent=Agent(name="test"), agent_output="test", context=RunContextWrapper(context=None)
|
|
)
|
|
|
|
|
|
@input_guardrail
|
|
def decorated_input_guardrail(
|
|
context: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
return GuardrailFunctionOutput(
|
|
output_info="test_1",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
|
|
@input_guardrail(name="Custom name")
|
|
def decorated_named_input_guardrail(
|
|
context: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
return GuardrailFunctionOutput(
|
|
output_info="test_2",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_input_guardrail_decorators():
|
|
guardrail = decorated_input_guardrail
|
|
result = await guardrail.run(
|
|
agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None)
|
|
)
|
|
assert not result.output.tripwire_triggered
|
|
assert result.output.output_info == "test_1"
|
|
assert guardrail.get_name() == "decorated_input_guardrail"
|
|
|
|
guardrail = decorated_named_input_guardrail
|
|
result = await guardrail.run(
|
|
agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None)
|
|
)
|
|
assert not result.output.tripwire_triggered
|
|
assert result.output.output_info == "test_2"
|
|
assert guardrail.get_name() == "Custom name"
|
|
|
|
|
|
@output_guardrail
|
|
def decorated_output_guardrail(
|
|
context: RunContextWrapper[Any], agent: Agent[Any], agent_output: Any
|
|
) -> GuardrailFunctionOutput:
|
|
return GuardrailFunctionOutput(
|
|
output_info="test_3",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
|
|
@output_guardrail(name="Custom name")
|
|
def decorated_named_output_guardrail(
|
|
context: RunContextWrapper[Any], agent: Agent[Any], agent_output: Any
|
|
) -> GuardrailFunctionOutput:
|
|
return GuardrailFunctionOutput(
|
|
output_info="test_4",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_output_guardrail_decorators():
|
|
guardrail = decorated_output_guardrail
|
|
result = await guardrail.run(
|
|
agent=Agent(name="test"), agent_output="test", context=RunContextWrapper(context=None)
|
|
)
|
|
assert not result.output.tripwire_triggered
|
|
assert result.output.output_info == "test_3"
|
|
assert guardrail.get_name() == "decorated_output_guardrail"
|
|
|
|
guardrail = decorated_named_output_guardrail
|
|
result = await guardrail.run(
|
|
agent=Agent(name="test"), agent_output="test", context=RunContextWrapper(context=None)
|
|
)
|
|
assert not result.output.tripwire_triggered
|
|
assert result.output.output_info == "test_4"
|
|
assert guardrail.get_name() == "Custom name"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_input_guardrail_run_in_parallel_default():
|
|
guardrail = InputGuardrail(
|
|
guardrail_function=lambda ctx, agent, input: GuardrailFunctionOutput(
|
|
output_info=None, tripwire_triggered=False
|
|
)
|
|
)
|
|
assert guardrail.run_in_parallel is True
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_input_guardrail_run_in_parallel_false():
|
|
guardrail = InputGuardrail(
|
|
guardrail_function=lambda ctx, agent, input: GuardrailFunctionOutput(
|
|
output_info=None, tripwire_triggered=False
|
|
),
|
|
run_in_parallel=False,
|
|
)
|
|
assert guardrail.run_in_parallel is False
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_input_guardrail_decorator_with_run_in_parallel():
|
|
@input_guardrail(run_in_parallel=False)
|
|
def blocking_guardrail(
|
|
context: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
return GuardrailFunctionOutput(
|
|
output_info="blocking",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
assert blocking_guardrail.run_in_parallel is False
|
|
result = await blocking_guardrail.run(
|
|
agent=Agent(name="test"), input="test", context=RunContextWrapper(context=None)
|
|
)
|
|
assert not result.output.tripwire_triggered
|
|
assert result.output.output_info == "blocking"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_input_guardrail_decorator_with_name_and_run_in_parallel():
|
|
@input_guardrail(name="custom_name", run_in_parallel=False)
|
|
def named_blocking_guardrail(
|
|
context: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
return GuardrailFunctionOutput(
|
|
output_info="named_blocking",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
assert named_blocking_guardrail.get_name() == "custom_name"
|
|
assert named_blocking_guardrail.run_in_parallel is False
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_parallel_guardrail_runs_concurrently_with_agent():
|
|
guardrail_executed = False
|
|
|
|
@input_guardrail(run_in_parallel=True)
|
|
async def parallel_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal guardrail_executed
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
guardrail_executed = True
|
|
return GuardrailFunctionOutput(
|
|
output_info="parallel_ok",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
model = FakeModel()
|
|
agent = Agent(
|
|
name="test_agent",
|
|
instructions="Reply with 'hello'",
|
|
input_guardrails=[parallel_check],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_text_message("hello")])
|
|
|
|
result = await Runner.run(agent, "test input")
|
|
|
|
assert guardrail_executed is True
|
|
assert result.final_output is not None
|
|
assert len(result.input_guardrail_results) == 1
|
|
assert result.input_guardrail_results[0].output.output_info == "parallel_ok"
|
|
assert model.first_turn_args is not None, "Model should have been called in parallel mode"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_parallel_guardrail_runs_concurrently_with_agent_streaming():
|
|
guardrail_executed = False
|
|
|
|
@input_guardrail(run_in_parallel=True)
|
|
async def parallel_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal guardrail_executed
|
|
await asyncio.sleep(SHORT_DELAY)
|
|
guardrail_executed = True
|
|
return GuardrailFunctionOutput(
|
|
output_info="parallel_streaming_ok",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
model = FakeModel()
|
|
agent = Agent(
|
|
name="streaming_agent",
|
|
instructions="Reply with 'hello'",
|
|
input_guardrails=[parallel_check],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_text_message("hello from stream")])
|
|
|
|
result = Runner.run_streamed(agent, "test input")
|
|
|
|
received_events = False
|
|
async for _event in result.stream_events():
|
|
received_events = True
|
|
|
|
assert guardrail_executed is True
|
|
assert received_events is True
|
|
assert model.first_turn_args is not None, "Model should have been called in parallel mode"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_blocking_guardrail_prevents_agent_execution():
|
|
guardrail_executed = False
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def blocking_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal guardrail_executed
|
|
guardrail_executed = True
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
return GuardrailFunctionOutput(
|
|
output_info="security_violation",
|
|
tripwire_triggered=True,
|
|
)
|
|
|
|
model = FakeModel()
|
|
agent = Agent(
|
|
name="test_agent",
|
|
instructions="Reply with 'hello'",
|
|
input_guardrails=[blocking_check],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_text_message("hello")])
|
|
|
|
with pytest.raises(InputGuardrailTripwireTriggered) as exc_info:
|
|
await Runner.run(agent, "test input")
|
|
|
|
assert guardrail_executed is True
|
|
assert exc_info.value.guardrail_result.output.output_info == "security_violation"
|
|
assert model.first_turn_args is None, "Model should not have been called"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_blocking_guardrail_prevents_agent_execution_streaming():
|
|
guardrail_executed = False
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def blocking_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal guardrail_executed
|
|
guardrail_executed = True
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
return GuardrailFunctionOutput(
|
|
output_info="blocked_streaming",
|
|
tripwire_triggered=True,
|
|
)
|
|
|
|
model = FakeModel()
|
|
agent = Agent(
|
|
name="streaming_agent",
|
|
instructions="Reply with a long message",
|
|
input_guardrails=[blocking_check],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_text_message("hello")])
|
|
|
|
result = Runner.run_streamed(agent, "test input")
|
|
|
|
with pytest.raises(InputGuardrailTripwireTriggered):
|
|
async for _event in result.stream_events():
|
|
pass
|
|
|
|
assert guardrail_executed is True
|
|
assert model.first_turn_args is None, "Model should not have been called"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_parallel_guardrail_may_not_prevent_tool_execution():
|
|
tool_was_executed = False
|
|
guardrail_executed = False
|
|
|
|
@function_tool
|
|
def fast_tool() -> str:
|
|
nonlocal tool_was_executed
|
|
tool_was_executed = True
|
|
return "tool_executed"
|
|
|
|
@input_guardrail(run_in_parallel=True)
|
|
async def slow_parallel_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal guardrail_executed
|
|
await asyncio.sleep(LONG_DELAY)
|
|
guardrail_executed = True
|
|
return GuardrailFunctionOutput(
|
|
output_info="slow_parallel_triggered",
|
|
tripwire_triggered=True,
|
|
)
|
|
|
|
model = FakeModel()
|
|
agent = Agent(
|
|
name="agent_with_tools",
|
|
instructions="Call the fast_tool immediately",
|
|
tools=[fast_tool],
|
|
input_guardrails=[slow_parallel_check],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_function_tool_call("fast_tool", arguments="{}")])
|
|
model.set_next_output([get_text_message("done")])
|
|
|
|
with pytest.raises(InputGuardrailTripwireTriggered):
|
|
await Runner.run(agent, "trigger guardrail")
|
|
|
|
assert guardrail_executed is True
|
|
assert tool_was_executed is True, (
|
|
"Expected tool to execute before slow parallel guardrail triggered"
|
|
)
|
|
assert model.first_turn_args is not None, "Model should have been called in parallel mode"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_parallel_guardrail_trip_cancels_model_task():
|
|
model_started = asyncio.Event()
|
|
model_cancelled = asyncio.Event()
|
|
model_finished = asyncio.Event()
|
|
|
|
@input_guardrail(run_in_parallel=True)
|
|
async def tripwire_after_model_starts(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
await asyncio.wait_for(model_started.wait(), timeout=1)
|
|
return GuardrailFunctionOutput(
|
|
output_info="parallel_tripwire",
|
|
tripwire_triggered=True,
|
|
)
|
|
|
|
model = FakeModel()
|
|
original_get_response = model.get_response
|
|
|
|
async def slow_get_response(*args, **kwargs):
|
|
model_started.set()
|
|
try:
|
|
await asyncio.sleep(0.02)
|
|
return await original_get_response(*args, **kwargs)
|
|
except asyncio.CancelledError:
|
|
model_cancelled.set()
|
|
raise
|
|
finally:
|
|
model_finished.set()
|
|
|
|
agent = Agent(
|
|
name="parallel_tripwire_agent",
|
|
instructions="Reply with 'hello'",
|
|
input_guardrails=[tripwire_after_model_starts],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_text_message("should_not_finish")])
|
|
|
|
with patch.object(model, "get_response", side_effect=slow_get_response):
|
|
with pytest.raises(InputGuardrailTripwireTriggered):
|
|
await Runner.run(agent, "trigger guardrail")
|
|
|
|
await asyncio.wait_for(model_finished.wait(), timeout=1)
|
|
assert model_started.is_set() is True
|
|
assert model_cancelled.is_set() is True
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_parallel_guardrail_trip_compat_mode_does_not_cancel_model_task():
|
|
model_started = asyncio.Event()
|
|
model_cancelled = asyncio.Event()
|
|
model_finished = asyncio.Event()
|
|
|
|
@input_guardrail(run_in_parallel=True)
|
|
async def tripwire_after_model_starts(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
await asyncio.wait_for(model_started.wait(), timeout=1)
|
|
return GuardrailFunctionOutput(
|
|
output_info="parallel_tripwire",
|
|
tripwire_triggered=True,
|
|
)
|
|
|
|
model = FakeModel()
|
|
original_get_response = model.get_response
|
|
|
|
async def slow_get_response(*args, **kwargs):
|
|
model_started.set()
|
|
try:
|
|
await asyncio.sleep(0.02)
|
|
return await original_get_response(*args, **kwargs)
|
|
except asyncio.CancelledError:
|
|
model_cancelled.set()
|
|
raise
|
|
finally:
|
|
model_finished.set()
|
|
|
|
agent = Agent(
|
|
name="parallel_tripwire_agent",
|
|
instructions="Reply with 'hello'",
|
|
input_guardrails=[tripwire_after_model_starts],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_text_message("should_finish_without_cancel")])
|
|
|
|
with patch.object(model, "get_response", side_effect=slow_get_response):
|
|
with patch(
|
|
"agents.run.should_cancel_parallel_model_task_on_input_guardrail_trip",
|
|
return_value=False,
|
|
):
|
|
with pytest.raises(InputGuardrailTripwireTriggered):
|
|
await Runner.run(agent, "trigger guardrail")
|
|
|
|
await asyncio.wait_for(model_finished.wait(), timeout=1)
|
|
assert model_started.is_set() is True
|
|
assert model_cancelled.is_set() is False
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_parallel_guardrail_may_not_prevent_tool_execution_streaming():
|
|
tool_was_executed = False
|
|
guardrail_executed = False
|
|
|
|
@function_tool
|
|
def fast_tool() -> str:
|
|
nonlocal tool_was_executed
|
|
tool_was_executed = True
|
|
return "tool_executed"
|
|
|
|
@input_guardrail(run_in_parallel=True)
|
|
async def slow_parallel_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal guardrail_executed
|
|
await asyncio.sleep(LONG_DELAY)
|
|
guardrail_executed = True
|
|
return GuardrailFunctionOutput(
|
|
output_info="slow_parallel_triggered_streaming",
|
|
tripwire_triggered=True,
|
|
)
|
|
|
|
model = FakeModel()
|
|
agent = Agent(
|
|
name="agent_with_tools",
|
|
instructions="Call the fast_tool immediately",
|
|
tools=[fast_tool],
|
|
input_guardrails=[slow_parallel_check],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_function_tool_call("fast_tool", arguments="{}")])
|
|
model.set_next_output([get_text_message("done")])
|
|
|
|
result = Runner.run_streamed(agent, "trigger guardrail")
|
|
|
|
with pytest.raises(InputGuardrailTripwireTriggered):
|
|
async for _event in result.stream_events():
|
|
pass
|
|
|
|
assert guardrail_executed is True
|
|
assert tool_was_executed is True, (
|
|
"Expected tool to execute before slow parallel guardrail triggered"
|
|
)
|
|
assert model.first_turn_args is not None, "Model should have been called in parallel mode"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_parallel_guardrail_trip_before_tool_execution_stops_streaming_turn():
|
|
tool_was_executed = False
|
|
model_started = asyncio.Event()
|
|
guardrail_tripped = asyncio.Event()
|
|
|
|
@function_tool
|
|
def dangerous_tool() -> str:
|
|
nonlocal tool_was_executed
|
|
tool_was_executed = True
|
|
return "tool_executed"
|
|
|
|
@input_guardrail(run_in_parallel=True)
|
|
async def tripwire_before_tool_execution(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
await asyncio.wait_for(model_started.wait(), timeout=1)
|
|
guardrail_tripped.set()
|
|
return GuardrailFunctionOutput(
|
|
output_info="parallel_trip_before_tool_execution",
|
|
tripwire_triggered=True,
|
|
)
|
|
|
|
model = FakeModel()
|
|
original_stream_response = model.stream_response
|
|
|
|
async def delayed_stream_response(*args, **kwargs):
|
|
model_started.set()
|
|
await asyncio.wait_for(guardrail_tripped.wait(), timeout=1)
|
|
await asyncio.sleep(SHORT_DELAY)
|
|
async for event in original_stream_response(*args, **kwargs):
|
|
yield event
|
|
|
|
agent = Agent(
|
|
name="streaming_guardrail_hardening_agent",
|
|
instructions="Call the dangerous_tool immediately",
|
|
tools=[dangerous_tool],
|
|
input_guardrails=[tripwire_before_tool_execution],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_function_tool_call("dangerous_tool", arguments="{}")])
|
|
model.set_next_output([get_text_message("done")])
|
|
|
|
with patch.object(model, "stream_response", side_effect=delayed_stream_response):
|
|
result = Runner.run_streamed(agent, "trigger guardrail")
|
|
|
|
with pytest.raises(InputGuardrailTripwireTriggered):
|
|
async for _event in result.stream_events():
|
|
pass
|
|
|
|
assert model_started.is_set() is True
|
|
assert guardrail_tripped.is_set() is True
|
|
assert tool_was_executed is False
|
|
assert model.first_turn_args is not None, "Model should have been called in parallel mode"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_parallel_guardrail_trip_with_slow_cancel_sibling_stops_streaming_turn():
|
|
tool_was_executed = False
|
|
model_started = asyncio.Event()
|
|
guardrail_tripped = asyncio.Event()
|
|
slow_cancel_started = asyncio.Event()
|
|
slow_cancel_finished = asyncio.Event()
|
|
|
|
@function_tool
|
|
def dangerous_tool() -> str:
|
|
nonlocal tool_was_executed
|
|
tool_was_executed = True
|
|
return "tool_executed"
|
|
|
|
@input_guardrail(run_in_parallel=True)
|
|
async def tripwire_before_tool_execution(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
await asyncio.wait_for(model_started.wait(), timeout=1)
|
|
guardrail_tripped.set()
|
|
return GuardrailFunctionOutput(
|
|
output_info="parallel_trip_before_tool_execution_with_slow_cancel",
|
|
tripwire_triggered=True,
|
|
)
|
|
|
|
@input_guardrail(run_in_parallel=True)
|
|
async def slow_to_cancel_guardrail(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
try:
|
|
await asyncio.Event().wait()
|
|
return GuardrailFunctionOutput(
|
|
output_info="slow_to_cancel_guardrail_completed",
|
|
tripwire_triggered=False,
|
|
)
|
|
except asyncio.CancelledError:
|
|
slow_cancel_started.set()
|
|
await asyncio.sleep(SHORT_DELAY)
|
|
slow_cancel_finished.set()
|
|
raise
|
|
|
|
model = FakeModel()
|
|
original_stream_response = model.stream_response
|
|
|
|
async def delayed_stream_response(*args, **kwargs):
|
|
model_started.set()
|
|
await asyncio.wait_for(guardrail_tripped.wait(), timeout=1)
|
|
await asyncio.wait_for(slow_cancel_started.wait(), timeout=1)
|
|
async for event in original_stream_response(*args, **kwargs):
|
|
yield event
|
|
|
|
agent = Agent(
|
|
name="streaming_guardrail_slow_cancel_agent",
|
|
instructions="Call the dangerous_tool immediately",
|
|
tools=[dangerous_tool],
|
|
input_guardrails=[tripwire_before_tool_execution, slow_to_cancel_guardrail],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_function_tool_call("dangerous_tool", arguments="{}")])
|
|
model.set_next_output([get_text_message("done")])
|
|
|
|
with patch.object(model, "stream_response", side_effect=delayed_stream_response):
|
|
result = Runner.run_streamed(agent, "trigger guardrail")
|
|
|
|
with pytest.raises(InputGuardrailTripwireTriggered) as excinfo:
|
|
async for _event in result.stream_events():
|
|
pass
|
|
|
|
exc = excinfo.value
|
|
assert exc.run_data is not None
|
|
assert [res.output.output_info for res in exc.run_data.input_guardrail_results] == [
|
|
"parallel_trip_before_tool_execution_with_slow_cancel"
|
|
]
|
|
assert model_started.is_set() is True
|
|
assert guardrail_tripped.is_set() is True
|
|
assert slow_cancel_started.is_set() is True
|
|
assert slow_cancel_finished.is_set() is True
|
|
assert tool_was_executed is False
|
|
assert model.first_turn_args is not None, "Model should have been called in parallel mode"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_blocking_guardrail_prevents_tool_execution():
|
|
tool_was_executed = False
|
|
guardrail_executed = False
|
|
|
|
@function_tool
|
|
def dangerous_tool() -> str:
|
|
nonlocal tool_was_executed
|
|
tool_was_executed = True
|
|
return "tool_executed"
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def security_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal guardrail_executed
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
guardrail_executed = True
|
|
return GuardrailFunctionOutput(
|
|
output_info="blocked_dangerous_input",
|
|
tripwire_triggered=True,
|
|
)
|
|
|
|
model = FakeModel()
|
|
agent = Agent(
|
|
name="agent_with_tools",
|
|
instructions="Call the dangerous_tool immediately",
|
|
tools=[dangerous_tool],
|
|
input_guardrails=[security_check],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_function_tool_call("dangerous_tool", arguments="{}")])
|
|
|
|
with pytest.raises(InputGuardrailTripwireTriggered):
|
|
await Runner.run(agent, "trigger guardrail")
|
|
|
|
assert guardrail_executed is True
|
|
assert tool_was_executed is False
|
|
assert model.first_turn_args is None, "Model should not have been called"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_blocking_guardrail_prevents_tool_execution_streaming():
|
|
tool_was_executed = False
|
|
guardrail_executed = False
|
|
|
|
@function_tool
|
|
def dangerous_tool() -> str:
|
|
nonlocal tool_was_executed
|
|
tool_was_executed = True
|
|
return "tool_executed"
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def security_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal guardrail_executed
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
guardrail_executed = True
|
|
return GuardrailFunctionOutput(
|
|
output_info="blocked_dangerous_input_streaming",
|
|
tripwire_triggered=True,
|
|
)
|
|
|
|
model = FakeModel()
|
|
agent = Agent(
|
|
name="agent_with_tools",
|
|
instructions="Call the dangerous_tool immediately",
|
|
tools=[dangerous_tool],
|
|
input_guardrails=[security_check],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_function_tool_call("dangerous_tool", arguments="{}")])
|
|
|
|
result = Runner.run_streamed(agent, "trigger guardrail")
|
|
|
|
with pytest.raises(InputGuardrailTripwireTriggered):
|
|
async for _event in result.stream_events():
|
|
pass
|
|
|
|
assert guardrail_executed is True
|
|
assert tool_was_executed is False
|
|
assert model.first_turn_args is None, "Model should not have been called"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_parallel_guardrail_passes_agent_continues():
|
|
guardrail_executed = False
|
|
|
|
@input_guardrail(run_in_parallel=True)
|
|
async def parallel_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal guardrail_executed
|
|
await asyncio.sleep(SHORT_DELAY)
|
|
guardrail_executed = True
|
|
return GuardrailFunctionOutput(
|
|
output_info="parallel_passed",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
model = FakeModel()
|
|
agent = Agent(
|
|
name="test_agent",
|
|
instructions="Reply with 'success'",
|
|
input_guardrails=[parallel_check],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_text_message("success")])
|
|
|
|
result = await Runner.run(agent, "test input")
|
|
|
|
assert guardrail_executed is True
|
|
assert result.final_output is not None
|
|
assert model.first_turn_args is not None, "Model should have been called"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_parallel_guardrail_passes_agent_continues_streaming():
|
|
guardrail_executed = False
|
|
|
|
@input_guardrail(run_in_parallel=True)
|
|
async def parallel_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal guardrail_executed
|
|
await asyncio.sleep(SHORT_DELAY)
|
|
guardrail_executed = True
|
|
return GuardrailFunctionOutput(
|
|
output_info="parallel_passed_streaming",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
model = FakeModel()
|
|
agent = Agent(
|
|
name="test_agent",
|
|
instructions="Reply with 'success'",
|
|
input_guardrails=[parallel_check],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_text_message("success")])
|
|
|
|
result = Runner.run_streamed(agent, "test input")
|
|
|
|
received_events = False
|
|
async for _event in result.stream_events():
|
|
received_events = True
|
|
|
|
assert guardrail_executed is True
|
|
assert received_events is True
|
|
assert model.first_turn_args is not None, "Model should have been called"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_blocking_guardrail_passes_agent_continues():
|
|
guardrail_executed = False
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def blocking_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal guardrail_executed
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
guardrail_executed = True
|
|
return GuardrailFunctionOutput(
|
|
output_info="blocking_passed",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
model = FakeModel()
|
|
agent = Agent(
|
|
name="test_agent",
|
|
instructions="Reply with 'success'",
|
|
input_guardrails=[blocking_check],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_text_message("success")])
|
|
|
|
result = await Runner.run(agent, "test input")
|
|
|
|
assert guardrail_executed is True
|
|
assert result.final_output is not None
|
|
assert model.first_turn_args is not None, "Model should have been called after guardrail passed"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_blocking_guardrail_passes_agent_continues_streaming():
|
|
guardrail_executed = False
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def blocking_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal guardrail_executed
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
guardrail_executed = True
|
|
return GuardrailFunctionOutput(
|
|
output_info="blocking_passed_streaming",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
model = FakeModel()
|
|
agent = Agent(
|
|
name="test_agent",
|
|
instructions="Reply with 'success'",
|
|
input_guardrails=[blocking_check],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_text_message("success")])
|
|
|
|
result = Runner.run_streamed(agent, "test input")
|
|
|
|
received_events = False
|
|
async for _event in result.stream_events():
|
|
received_events = True
|
|
|
|
assert guardrail_executed is True
|
|
assert received_events is True
|
|
assert model.first_turn_args is not None, "Model should have been called after guardrail passed"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_mixed_blocking_and_parallel_guardrails():
|
|
timestamps = {}
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def blocking_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
timestamps["blocking_start"] = time.time()
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
timestamps["blocking_end"] = time.time()
|
|
return GuardrailFunctionOutput(
|
|
output_info="blocking_passed",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
@input_guardrail(run_in_parallel=True)
|
|
async def parallel_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
timestamps["parallel_start"] = time.time()
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
timestamps["parallel_end"] = time.time()
|
|
return GuardrailFunctionOutput(
|
|
output_info="parallel_passed",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
model = FakeModel()
|
|
|
|
original_get_response = model.get_response
|
|
|
|
async def tracked_get_response(*args, **kwargs):
|
|
timestamps["model_called"] = time.time()
|
|
return await original_get_response(*args, **kwargs)
|
|
|
|
agent = Agent(
|
|
name="mixed_agent",
|
|
instructions="Reply with 'hello'",
|
|
input_guardrails=[blocking_check, parallel_check],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_text_message("hello")])
|
|
|
|
with patch.object(model, "get_response", side_effect=tracked_get_response):
|
|
result = await Runner.run(agent, "test input")
|
|
|
|
assert result.final_output is not None
|
|
assert len(result.input_guardrail_results) == 2
|
|
|
|
assert "blocking_start" in timestamps
|
|
assert "blocking_end" in timestamps
|
|
assert "parallel_start" in timestamps
|
|
assert "parallel_end" in timestamps
|
|
assert "model_called" in timestamps
|
|
|
|
assert timestamps["blocking_end"] <= timestamps["parallel_start"], (
|
|
"Blocking must complete before parallel starts"
|
|
)
|
|
assert timestamps["blocking_end"] <= timestamps["model_called"], (
|
|
"Blocking must complete before model is called"
|
|
)
|
|
assert timestamps["model_called"] <= timestamps["parallel_end"], (
|
|
"Model called while parallel guardrail still running"
|
|
)
|
|
assert model.first_turn_args is not None, (
|
|
"Model should have been called after blocking guardrails passed"
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_mixed_blocking_and_parallel_guardrails_streaming():
|
|
timestamps = {}
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def blocking_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
timestamps["blocking_start"] = time.time()
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
timestamps["blocking_end"] = time.time()
|
|
return GuardrailFunctionOutput(
|
|
output_info="blocking_passed",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
@input_guardrail(run_in_parallel=True)
|
|
async def parallel_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
timestamps["parallel_start"] = time.time()
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
timestamps["parallel_end"] = time.time()
|
|
return GuardrailFunctionOutput(
|
|
output_info="parallel_passed",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
model = FakeModel()
|
|
|
|
original_stream_response = model.stream_response
|
|
|
|
async def tracked_stream_response(*args, **kwargs):
|
|
timestamps["model_called"] = time.time()
|
|
async for event in original_stream_response(*args, **kwargs):
|
|
yield event
|
|
|
|
agent = Agent(
|
|
name="mixed_agent",
|
|
instructions="Reply with 'hello'",
|
|
input_guardrails=[blocking_check, parallel_check],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_text_message("hello")])
|
|
|
|
with patch.object(model, "stream_response", side_effect=tracked_stream_response):
|
|
result = Runner.run_streamed(agent, "test input")
|
|
|
|
received_events = False
|
|
async for _event in result.stream_events():
|
|
received_events = True
|
|
|
|
assert received_events is True
|
|
assert "blocking_start" in timestamps
|
|
assert "blocking_end" in timestamps
|
|
assert "parallel_start" in timestamps
|
|
assert "parallel_end" in timestamps
|
|
assert "model_called" in timestamps
|
|
|
|
assert timestamps["blocking_end"] <= timestamps["parallel_start"], (
|
|
"Blocking must complete before parallel starts"
|
|
)
|
|
assert timestamps["blocking_end"] <= timestamps["model_called"], (
|
|
"Blocking must complete before model is called"
|
|
)
|
|
assert timestamps["model_called"] <= timestamps["parallel_end"], (
|
|
"Model called while parallel guardrail still running"
|
|
)
|
|
assert model.first_turn_args is not None, (
|
|
"Model should have been called after blocking guardrails passed"
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_multiple_blocking_guardrails_complete_before_agent():
|
|
timestamps = {}
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def first_blocking_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
timestamps["first_blocking_start"] = time.time()
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
timestamps["first_blocking_end"] = time.time()
|
|
return GuardrailFunctionOutput(
|
|
output_info="first_passed",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def second_blocking_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
timestamps["second_blocking_start"] = time.time()
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
timestamps["second_blocking_end"] = time.time()
|
|
return GuardrailFunctionOutput(
|
|
output_info="second_passed",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
model = FakeModel()
|
|
|
|
original_get_response = model.get_response
|
|
|
|
async def tracked_get_response(*args, **kwargs):
|
|
timestamps["model_called"] = time.time()
|
|
return await original_get_response(*args, **kwargs)
|
|
|
|
agent = Agent(
|
|
name="multi_blocking_agent",
|
|
instructions="Reply with 'hello'",
|
|
input_guardrails=[first_blocking_check, second_blocking_check],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_text_message("hello")])
|
|
|
|
with patch.object(model, "get_response", side_effect=tracked_get_response):
|
|
result = await Runner.run(agent, "test input")
|
|
|
|
assert result.final_output is not None
|
|
assert len(result.input_guardrail_results) == 2
|
|
|
|
assert "first_blocking_start" in timestamps
|
|
assert "first_blocking_end" in timestamps
|
|
assert "second_blocking_start" in timestamps
|
|
assert "second_blocking_end" in timestamps
|
|
assert "model_called" in timestamps
|
|
|
|
assert timestamps["first_blocking_end"] <= timestamps["model_called"], (
|
|
"First blocking guardrail must complete before model is called"
|
|
)
|
|
assert timestamps["second_blocking_end"] <= timestamps["model_called"], (
|
|
"Second blocking guardrail must complete before model is called"
|
|
)
|
|
assert model.first_turn_args is not None, (
|
|
"Model should have been called after all blocking guardrails passed"
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_multiple_blocking_guardrails_complete_before_agent_streaming():
|
|
timestamps = {}
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def first_blocking_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
timestamps["first_blocking_start"] = time.time()
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
timestamps["first_blocking_end"] = time.time()
|
|
return GuardrailFunctionOutput(
|
|
output_info="first_passed",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def second_blocking_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
timestamps["second_blocking_start"] = time.time()
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
timestamps["second_blocking_end"] = time.time()
|
|
return GuardrailFunctionOutput(
|
|
output_info="second_passed",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
model = FakeModel()
|
|
|
|
original_stream_response = model.stream_response
|
|
|
|
async def tracked_stream_response(*args, **kwargs):
|
|
timestamps["model_called"] = time.time()
|
|
async for event in original_stream_response(*args, **kwargs):
|
|
yield event
|
|
|
|
agent = Agent(
|
|
name="multi_blocking_agent",
|
|
instructions="Reply with 'hello'",
|
|
input_guardrails=[first_blocking_check, second_blocking_check],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_text_message("hello")])
|
|
|
|
with patch.object(model, "stream_response", side_effect=tracked_stream_response):
|
|
result = Runner.run_streamed(agent, "test input")
|
|
|
|
received_events = False
|
|
async for _event in result.stream_events():
|
|
received_events = True
|
|
|
|
assert received_events is True
|
|
assert "first_blocking_start" in timestamps
|
|
assert "first_blocking_end" in timestamps
|
|
assert "second_blocking_start" in timestamps
|
|
assert "second_blocking_end" in timestamps
|
|
assert "model_called" in timestamps
|
|
|
|
assert timestamps["first_blocking_end"] <= timestamps["model_called"], (
|
|
"First blocking guardrail must complete before model is called"
|
|
)
|
|
assert timestamps["second_blocking_end"] <= timestamps["model_called"], (
|
|
"Second blocking guardrail must complete before model is called"
|
|
)
|
|
assert model.first_turn_args is not None, (
|
|
"Model should have been called after all blocking guardrails passed"
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_multiple_blocking_guardrails_one_triggers():
|
|
timestamps = {}
|
|
first_guardrail_executed = False
|
|
second_guardrail_executed = False
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def first_blocking_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal first_guardrail_executed
|
|
timestamps["first_blocking_start"] = time.time()
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
first_guardrail_executed = True
|
|
timestamps["first_blocking_end"] = time.time()
|
|
return GuardrailFunctionOutput(
|
|
output_info="first_passed",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def second_blocking_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal second_guardrail_executed
|
|
timestamps["second_blocking_start"] = time.time()
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
second_guardrail_executed = True
|
|
timestamps["second_blocking_end"] = time.time()
|
|
return GuardrailFunctionOutput(
|
|
output_info="second_triggered",
|
|
tripwire_triggered=True,
|
|
)
|
|
|
|
model = FakeModel()
|
|
agent = Agent(
|
|
name="multi_blocking_agent",
|
|
instructions="Reply with 'hello'",
|
|
input_guardrails=[first_blocking_check, second_blocking_check],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_text_message("hello")])
|
|
|
|
with pytest.raises(InputGuardrailTripwireTriggered):
|
|
await Runner.run(agent, "test input")
|
|
|
|
assert first_guardrail_executed is True
|
|
assert second_guardrail_executed is True
|
|
assert "first_blocking_start" in timestamps
|
|
assert "first_blocking_end" in timestamps
|
|
assert "second_blocking_start" in timestamps
|
|
assert "second_blocking_end" in timestamps
|
|
assert model.first_turn_args is None, (
|
|
"Model should not have been called when guardrail triggered"
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_multiple_blocking_guardrails_one_triggers_streaming():
|
|
timestamps = {}
|
|
first_guardrail_executed = False
|
|
second_guardrail_executed = False
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def first_blocking_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal first_guardrail_executed
|
|
timestamps["first_blocking_start"] = time.time()
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
first_guardrail_executed = True
|
|
timestamps["first_blocking_end"] = time.time()
|
|
return GuardrailFunctionOutput(
|
|
output_info="first_passed",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def second_blocking_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal second_guardrail_executed
|
|
timestamps["second_blocking_start"] = time.time()
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
second_guardrail_executed = True
|
|
timestamps["second_blocking_end"] = time.time()
|
|
return GuardrailFunctionOutput(
|
|
output_info="second_triggered",
|
|
tripwire_triggered=True,
|
|
)
|
|
|
|
model = FakeModel()
|
|
agent = Agent(
|
|
name="multi_blocking_agent",
|
|
instructions="Reply with 'hello'",
|
|
input_guardrails=[first_blocking_check, second_blocking_check],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_text_message("hello")])
|
|
|
|
result = Runner.run_streamed(agent, "test input")
|
|
|
|
with pytest.raises(InputGuardrailTripwireTriggered):
|
|
async for _event in result.stream_events():
|
|
pass
|
|
|
|
assert first_guardrail_executed is True
|
|
assert second_guardrail_executed is True
|
|
assert "first_blocking_start" in timestamps
|
|
assert "first_blocking_end" in timestamps
|
|
assert "second_blocking_start" in timestamps
|
|
assert "second_blocking_end" in timestamps
|
|
assert model.first_turn_args is None, (
|
|
"Model should not have been called when guardrail triggered"
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_guardrail_via_agent_and_run_config_equivalent():
|
|
agent_guardrail_executed = False
|
|
config_guardrail_executed = False
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def agent_level_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal agent_guardrail_executed
|
|
agent_guardrail_executed = True
|
|
return GuardrailFunctionOutput(
|
|
output_info="agent_level_passed",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def config_level_check(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal config_guardrail_executed
|
|
config_guardrail_executed = True
|
|
return GuardrailFunctionOutput(
|
|
output_info="config_level_passed",
|
|
tripwire_triggered=False,
|
|
)
|
|
|
|
model1 = FakeModel()
|
|
agent_with_guardrail = Agent(
|
|
name="test_agent",
|
|
instructions="Reply with 'hello'",
|
|
input_guardrails=[agent_level_check],
|
|
model=model1,
|
|
)
|
|
model1.set_next_output([get_text_message("hello")])
|
|
|
|
model2 = FakeModel()
|
|
agent_without_guardrail = Agent(
|
|
name="test_agent",
|
|
instructions="Reply with 'hello'",
|
|
model=model2,
|
|
)
|
|
model2.set_next_output([get_text_message("hello")])
|
|
run_config = RunConfig(input_guardrails=[config_level_check])
|
|
|
|
result1 = await Runner.run(agent_with_guardrail, "test input")
|
|
result2 = await Runner.run(agent_without_guardrail, "test input", run_config=run_config)
|
|
|
|
assert agent_guardrail_executed is True
|
|
assert config_guardrail_executed is True
|
|
assert len(result1.input_guardrail_results) == 1
|
|
assert len(result2.input_guardrail_results) == 1
|
|
assert result1.input_guardrail_results[0].output.output_info == "agent_level_passed"
|
|
assert result2.input_guardrail_results[0].output.output_info == "config_level_passed"
|
|
assert result1.final_output is not None
|
|
assert result2.final_output is not None
|
|
assert model1.first_turn_args is not None
|
|
assert model2.first_turn_args is not None
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_blocking_guardrail_cancels_remaining_on_trigger():
|
|
"""
|
|
Test that when one blocking guardrail triggers, remaining guardrails
|
|
are cancelled (non-streaming).
|
|
"""
|
|
fast_guardrail_executed = False
|
|
slow_guardrail_executed = False
|
|
slow_guardrail_cancelled = False
|
|
timestamps = {}
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def fast_guardrail_that_triggers(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal fast_guardrail_executed
|
|
timestamps["fast_start"] = time.time()
|
|
await asyncio.sleep(SHORT_DELAY)
|
|
fast_guardrail_executed = True
|
|
timestamps["fast_end"] = time.time()
|
|
return GuardrailFunctionOutput(
|
|
output_info="fast_triggered",
|
|
tripwire_triggered=True,
|
|
)
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def slow_guardrail_that_should_be_cancelled(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal slow_guardrail_executed, slow_guardrail_cancelled
|
|
timestamps["slow_start"] = time.time()
|
|
try:
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
slow_guardrail_executed = True
|
|
timestamps["slow_end"] = time.time()
|
|
return GuardrailFunctionOutput(
|
|
output_info="slow_completed",
|
|
tripwire_triggered=False,
|
|
)
|
|
except asyncio.CancelledError:
|
|
slow_guardrail_cancelled = True
|
|
timestamps["slow_cancelled"] = time.time()
|
|
raise
|
|
|
|
model = FakeModel()
|
|
agent = Agent(
|
|
name="test_agent",
|
|
instructions="Reply with 'hello'",
|
|
input_guardrails=[fast_guardrail_that_triggers, slow_guardrail_that_should_be_cancelled],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_text_message("hello")])
|
|
|
|
with pytest.raises(InputGuardrailTripwireTriggered):
|
|
await Runner.run(agent, "test input")
|
|
|
|
# Verify the fast guardrail executed
|
|
assert fast_guardrail_executed is True, "Fast guardrail should have executed"
|
|
|
|
# Verify the slow guardrail was cancelled, not completed
|
|
assert slow_guardrail_cancelled is True, "Slow guardrail should have been cancelled"
|
|
assert slow_guardrail_executed is False, "Slow guardrail should NOT have completed execution"
|
|
|
|
# Verify timing: cancellation happened shortly after fast guardrail triggered
|
|
assert "fast_end" in timestamps
|
|
assert "slow_cancelled" in timestamps
|
|
cancellation_delay = timestamps["slow_cancelled"] - timestamps["fast_end"]
|
|
assert cancellation_delay >= 0, (
|
|
f"Slow guardrail should be cancelled after fast one completes, "
|
|
f"but was {cancellation_delay:.2f}s"
|
|
)
|
|
assert cancellation_delay < 0.2, (
|
|
f"Cancellation should happen before the slow guardrail completes, "
|
|
f"but took {cancellation_delay:.2f}s"
|
|
)
|
|
|
|
# Verify agent never started
|
|
assert model.first_turn_args is None, (
|
|
"Model should not have been called when guardrail triggered"
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_blocking_guardrail_cancels_remaining_on_trigger_streaming():
|
|
"""
|
|
Test that when one blocking guardrail triggers, remaining guardrails
|
|
are cancelled (streaming).
|
|
"""
|
|
fast_guardrail_executed = False
|
|
slow_guardrail_executed = False
|
|
slow_guardrail_cancelled = False
|
|
timestamps = {}
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def fast_guardrail_that_triggers(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal fast_guardrail_executed
|
|
timestamps["fast_start"] = time.time()
|
|
await asyncio.sleep(SHORT_DELAY)
|
|
fast_guardrail_executed = True
|
|
timestamps["fast_end"] = time.time()
|
|
return GuardrailFunctionOutput(
|
|
output_info="fast_triggered",
|
|
tripwire_triggered=True,
|
|
)
|
|
|
|
@input_guardrail(run_in_parallel=False)
|
|
async def slow_guardrail_that_should_be_cancelled(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal slow_guardrail_executed, slow_guardrail_cancelled
|
|
timestamps["slow_start"] = time.time()
|
|
try:
|
|
await asyncio.sleep(MEDIUM_DELAY)
|
|
slow_guardrail_executed = True
|
|
timestamps["slow_end"] = time.time()
|
|
return GuardrailFunctionOutput(
|
|
output_info="slow_completed",
|
|
tripwire_triggered=False,
|
|
)
|
|
except asyncio.CancelledError:
|
|
slow_guardrail_cancelled = True
|
|
timestamps["slow_cancelled"] = time.time()
|
|
raise
|
|
|
|
model = FakeModel()
|
|
agent = Agent(
|
|
name="test_agent",
|
|
instructions="Reply with 'hello'",
|
|
input_guardrails=[fast_guardrail_that_triggers, slow_guardrail_that_should_be_cancelled],
|
|
model=model,
|
|
)
|
|
model.set_next_output([get_text_message("hello")])
|
|
|
|
result = Runner.run_streamed(agent, "test input")
|
|
|
|
with pytest.raises(InputGuardrailTripwireTriggered):
|
|
async for _event in result.stream_events():
|
|
pass
|
|
|
|
# Verify the fast guardrail executed
|
|
assert fast_guardrail_executed is True, "Fast guardrail should have executed"
|
|
|
|
# Verify the slow guardrail was cancelled, not completed
|
|
assert slow_guardrail_cancelled is True, "Slow guardrail should have been cancelled"
|
|
assert slow_guardrail_executed is False, "Slow guardrail should NOT have completed execution"
|
|
|
|
# Verify timing: cancellation happened shortly after fast guardrail triggered
|
|
assert "fast_end" in timestamps
|
|
assert "slow_cancelled" in timestamps
|
|
cancellation_delay = timestamps["slow_cancelled"] - timestamps["fast_end"]
|
|
assert cancellation_delay >= 0, (
|
|
f"Slow guardrail should be cancelled after fast one completes, "
|
|
f"but was {cancellation_delay:.2f}s"
|
|
)
|
|
assert cancellation_delay < 0.2, (
|
|
f"Cancellation should happen before the slow guardrail completes, "
|
|
f"but took {cancellation_delay:.2f}s"
|
|
)
|
|
|
|
# Verify agent never started
|
|
assert model.first_turn_args is None, (
|
|
"Model should not have been called when guardrail triggered"
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_streaming_input_guardrail_exception_awaits_cancelled_siblings():
|
|
slow_started = asyncio.Event()
|
|
slow_cleanup_finished = False
|
|
|
|
async def slow_guardrail(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
nonlocal slow_cleanup_finished
|
|
slow_started.set()
|
|
try:
|
|
await asyncio.sleep(LONG_DELAY)
|
|
return GuardrailFunctionOutput(output_info=None, tripwire_triggered=False)
|
|
except asyncio.CancelledError:
|
|
await asyncio.sleep(SHORT_DELAY)
|
|
slow_cleanup_finished = True
|
|
raise
|
|
|
|
async def raising_guardrail(
|
|
ctx: RunContextWrapper[Any], agent: Agent[Any], input: str | list[TResponseInputItem]
|
|
) -> GuardrailFunctionOutput:
|
|
await slow_started.wait()
|
|
raise RuntimeError("guardrail failed")
|
|
|
|
agent = Agent(name="test_agent", model=FakeModel())
|
|
context = RunContextWrapper(context=None)
|
|
streamed_result = RunResultStreaming(
|
|
"test input",
|
|
[],
|
|
[],
|
|
None,
|
|
[],
|
|
[],
|
|
[],
|
|
[],
|
|
context,
|
|
agent,
|
|
0,
|
|
None,
|
|
None,
|
|
None,
|
|
)
|
|
|
|
with pytest.raises(RuntimeError, match="guardrail failed"):
|
|
await run_input_guardrails_with_queue(
|
|
agent=agent,
|
|
guardrails=[
|
|
InputGuardrail(guardrail_function=slow_guardrail),
|
|
InputGuardrail(guardrail_function=raising_guardrail),
|
|
],
|
|
input="test input",
|
|
context=context,
|
|
streamed_result=streamed_result,
|
|
parent_span=None,
|
|
)
|
|
|
|
assert slow_cleanup_finished is True
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_input_guardrail_raise_cancels_siblings():
|
|
"""When one input guardrail raises a non-tripwire exception, sibling tasks
|
|
must be cancelled and awaited so they don't keep running past the function's return."""
|
|
from agents.run_internal.guardrails import run_input_guardrails
|
|
|
|
sibling_started = asyncio.Event()
|
|
sibling_completed = asyncio.Event()
|
|
sibling_cancelled = asyncio.Event()
|
|
|
|
async def slow_sibling_started_first(ctx, agent, input):
|
|
sibling_started.set()
|
|
try:
|
|
await asyncio.sleep(0.5)
|
|
except asyncio.CancelledError:
|
|
sibling_cancelled.set()
|
|
raise
|
|
sibling_completed.set()
|
|
return GuardrailFunctionOutput(output_info=None, tripwire_triggered=False)
|
|
|
|
async def raise_after_sibling_starts(ctx, agent, input):
|
|
await sibling_started.wait()
|
|
raise RuntimeError("boom")
|
|
|
|
g_slow = InputGuardrail(guardrail_function=slow_sibling_started_first)
|
|
g_raise = InputGuardrail(guardrail_function=raise_after_sibling_starts)
|
|
|
|
with pytest.raises(RuntimeError, match="boom"):
|
|
await run_input_guardrails(
|
|
Agent(name="t"), [g_slow, g_raise], "x", RunContextWrapper(context=None)
|
|
)
|
|
|
|
# By the time run_input_guardrails returns (via raise), the sibling must already
|
|
# have been cancelled and awaited. No additional sleep should be needed.
|
|
assert sibling_cancelled.is_set(), "Sibling task should have been cancelled"
|
|
assert not sibling_completed.is_set(), "Sibling task should not have completed"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_output_guardrail_raise_cancels_siblings():
|
|
"""When one output guardrail raises a non-tripwire exception, sibling tasks
|
|
must be cancelled and awaited so they don't keep running past the function's return."""
|
|
from agents.run_internal.guardrails import run_output_guardrails
|
|
|
|
sibling_started = asyncio.Event()
|
|
sibling_completed = asyncio.Event()
|
|
sibling_cancelled = asyncio.Event()
|
|
|
|
async def slow_sibling_started_first(ctx, agent, agent_output):
|
|
sibling_started.set()
|
|
try:
|
|
await asyncio.sleep(0.5)
|
|
except asyncio.CancelledError:
|
|
sibling_cancelled.set()
|
|
raise
|
|
sibling_completed.set()
|
|
return GuardrailFunctionOutput(output_info=None, tripwire_triggered=False)
|
|
|
|
async def raise_after_sibling_starts(ctx, agent, agent_output):
|
|
await sibling_started.wait()
|
|
raise RuntimeError("boom")
|
|
|
|
g_slow = OutputGuardrail(guardrail_function=slow_sibling_started_first)
|
|
g_raise = OutputGuardrail(guardrail_function=raise_after_sibling_starts)
|
|
|
|
with pytest.raises(RuntimeError, match="boom"):
|
|
await run_output_guardrails(
|
|
[g_slow, g_raise], Agent(name="t"), "out", RunContextWrapper(context=None)
|
|
)
|
|
|
|
assert sibling_cancelled.is_set(), "Sibling task should have been cancelled"
|
|
assert not sibling_completed.is_set(), "Sibling task should not have completed"
|