strix/tests/test_execution_request_log.py

134 lines
4.1 KiB
Python

from __future__ import annotations
from typing import TYPE_CHECKING, Any, cast
import httpx
import pytest
from agents import RunConfig, Runner
from openai import APIError, PermissionDeniedError
from strix.core import execution
from strix.core.agents import AgentCoordinator
from strix.llm import request_log
if TYPE_CHECKING:
from collections.abc import AsyncIterator
def _request() -> httpx.Request:
return httpx.Request("POST", "https://api.openai.com/v1/responses")
def _midstream_api_error() -> APIError:
return APIError("An error occurred while processing the request.", _request(), body=None)
def _blocked_error() -> PermissionDeniedError:
response = httpx.Response(
403, request=_request(), headers={"x-request-id": "req_blocked_hdr"}, text="blocked"
)
return PermissionDeniedError("Output blocked by policy", response=response, body=None)
class _FakeStream:
def __init__(self, exc: BaseException | None = None) -> None:
self._exc = exc
self.run_loop_exception: BaseException | None = None
self.seen_context: request_log.LlmCallContext | None = None
async def stream_events(self) -> AsyncIterator[Any]:
self.seen_context = request_log.current_call_context()
if self._exc is not None:
raise self._exc
items: tuple[Any, ...] = ()
for item in items:
yield item
async def _run(
monkeypatch: pytest.MonkeyPatch,
streams: list[_FakeStream],
coordinator: AgentCoordinator | None = None,
) -> Any:
monkeypatch.setattr(execution, "_TRANSIENT_MODEL_RETRY_BASE_DELAY_S", 0.0)
monkeypatch.setattr(execution, "_TRANSIENT_MODEL_RETRY_MAX_DELAY_S", 0.0)
calls = {"n": 0}
def _fake_run_streamed(*_args: Any, **_kwargs: Any) -> _FakeStream:
stream = streams[calls["n"]]
calls["n"] += 1
return stream
monkeypatch.setattr(Runner, "run_streamed", _fake_run_streamed)
coordinator = coordinator or AgentCoordinator()
await coordinator.register("root", "strix", parent_id=None)
return await execution._run_cycle(
object(),
coordinator,
"root",
input_data="task",
run_config=cast("RunConfig", object()),
context={},
max_turns=5,
session=None,
interactive=False,
event_sink=None,
hooks=None,
)
@pytest.mark.asyncio
async def test_each_transient_replay_is_stamped_with_its_attempt_number(
monkeypatch: pytest.MonkeyPatch,
) -> None:
streams = [
_FakeStream(exc=_midstream_api_error()),
_FakeStream(exc=_midstream_api_error()),
_FakeStream(),
]
await _run(monkeypatch, streams)
assert [s.seen_context.retry_attempt for s in streams if s.seen_context] == [0, 1, 2]
@pytest.mark.asyncio
async def test_blocked_provider_failure_text_carries_request_id(
monkeypatch: pytest.MonkeyPatch,
) -> None:
coordinator = AgentCoordinator()
with pytest.raises(PermissionDeniedError):
await _run(monkeypatch, [_FakeStream(exc=_blocked_error())], coordinator)
assert coordinator.statuses["root"] == "failed"
error = coordinator.errors["root"]
assert "Output blocked by policy" in error
assert error.endswith("[provider request id: req_blocked_hdr]")
@pytest.mark.asyncio
async def test_run_agent_loop_binds_agent_context_and_resets(
monkeypatch: pytest.MonkeyPatch,
) -> None:
seen: dict[str, request_log.LlmCallContext] = {}
async def _fake_loop(**_kwargs: Any) -> None:
seen["ctx"] = request_log.current_call_context()
monkeypatch.setattr(execution, "_run_agent_loop", _fake_loop)
class _Agent:
name = "Recon Agent"
coordinator = AgentCoordinator()
await execution.run_agent_loop(
agent=_Agent(),
initial_input="task",
run_config=cast("RunConfig", object()),
context={},
max_turns=1,
coordinator=coordinator,
agent_id="agent-42",
interactive=False,
)
assert seen["ctx"].agent_id == "agent-42"
assert seen["ctx"].agent_name == "Recon Agent"
assert request_log.current_call_context().agent_id is None