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import asyncio
import base64
import hashlib
import json
import pytest
import autocad_bench.harness.run as pilot_module
from autocad_bench.harness.agent_loop import ModelTurn
from autocad_bench.sandbox.broker.models import DesktopScreenshot
from autocad_bench.harness.run import _LiveTraceWriter, _run, build_parser
_PNG = base64.b64decode(
"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwC"
"AAAAC0lEQVR42mNk+A8AAQUBAScY42YAAAAASUVORK5CYII="
)
def test_pilot_defaults_to_requested_openai_model() -> None:
args = build_parser().parse_args(
["--broker-url", "http://127.0.0.1:8765", "--output-dir", "unused"]
)
assert args.provider == "openai"
assert args.model_id == "gpt-5.6-sol"
assert args.reasoning_effort == "xhigh"
assert args.reasoning_max_tokens is None
assert args.tool_choice_mode == "specified"
assert args.invalid_action_limit == 10
assert args.expected_broker_version == "windows-autocad-2019-v10"
def test_pilot_supports_disabling_only_the_rollout_wall_timeout() -> None:
args = build_parser().parse_args(
[
"--broker-url",
"http://127.0.0.1:8765",
"--output-dir",
"unused",
"--no-wall-timeout",
]
)
assert args.no_wall_timeout is True
assert args.wall_timeout_s is None
def test_pilot_missing_openai_key_fails_before_creating_run_directory(
tmp_path, monkeypatch: pytest.MonkeyPatch
) -> None:
monkeypatch.delenv("OPENAI_API_KEY", raising=False)
output_dir = tmp_path / "must-not-exist"
args = build_parser().parse_args(
[
"--broker-url",
"http://127.0.0.1:8765",
"--output-dir",
str(output_dir),
]
)
with pytest.raises(SystemExit, match="OPENAI_API_KEY"):
asyncio.run(_run(args))
assert not output_dir.exists()
def test_pilot_supports_openrouter_anthropic_fireworks_and_mantle_providers() -> None:
openrouter = build_parser().parse_args(
[
"--broker-url",
"http://127.0.0.1:8765",
"--output-dir",
"unused",
"--provider",
"openrouter",
"--model-id",
"moonshotai/kimi-k3",
"--reasoning-effort",
"max",
"--tool-choice-mode",
"required",
]
)
anthropic = build_parser().parse_args(
[
"--broker-url",
"http://127.0.0.1:8765",
"--output-dir",
"unused",
"--provider",
"anthropic",
"--model-id",
"claude-test",
]
)
mantle = build_parser().parse_args(
[
"--broker-url",
"http://127.0.0.1:8765",
"--output-dir",
"unused",
"--provider",
"mantle",
"--model-id",
"moonshotai.kimi-k2.5",
]
)
fireworks = build_parser().parse_args(
[
"--broker-url",
"http://127.0.0.1:8765",
"--output-dir",
"unused",
"--provider",
"fireworks",
"--model-id",
"accounts/fireworks/routers/kimi-k2p6-fast",
]
)
assert openrouter.provider == "openrouter"
assert openrouter.openrouter_key_env == "OPENROUTER_API_KEY"
assert openrouter.reasoning_effort == "max"
assert openrouter.reasoning_max_tokens is None
assert openrouter.tool_choice_mode == "required"
assert anthropic.provider == "anthropic"
assert anthropic.anthropic_key_env == "ANTHROPIC_API_KEY"
assert mantle.provider == "mantle"
assert mantle.aws_profile is None
assert fireworks.provider == "fireworks"
assert fireworks.fireworks_key_env == "FIREWORKS_API_KEY"
def test_pilot_missing_fireworks_key_fails_before_creating_run_directory(
tmp_path, monkeypatch: pytest.MonkeyPatch
) -> None:
monkeypatch.delenv("FIREWORKS_API_KEY", raising=False)
output_dir = tmp_path / "must-not-exist"
args = build_parser().parse_args(
[
"--broker-url",
"http://127.0.0.1:8765",
"--output-dir",
str(output_dir),
"--provider",
"fireworks",
"--model-id",
"accounts/fireworks/routers/kimi-k2p6-fast",
]
)
with pytest.raises(SystemExit, match="FIREWORKS_API_KEY"):
asyncio.run(_run(args))
assert not output_dir.exists()
def test_pilot_missing_openrouter_key_fails_before_creating_run_directory(
tmp_path, monkeypatch: pytest.MonkeyPatch
) -> None:
monkeypatch.delenv("OPENROUTER_API_KEY", raising=False)
output_dir = tmp_path / "must-not-exist"
args = build_parser().parse_args(
[
"--broker-url",
"http://127.0.0.1:8765",
"--output-dir",
str(output_dir),
"--provider",
"openrouter",
"--model-id",
"moonshotai/kimi-k3",
]
)
with pytest.raises(SystemExit, match="OPENROUTER_API_KEY"):
asyncio.run(_run(args))
assert not output_dir.exists()
def test_pilot_missing_anthropic_key_fails_before_creating_run_directory(
tmp_path, monkeypatch: pytest.MonkeyPatch
) -> None:
monkeypatch.delenv("ANTHROPIC_API_KEY", raising=False)
output_dir = tmp_path / "must-not-exist"
args = build_parser().parse_args(
[
"--broker-url",
"http://127.0.0.1:8765",
"--output-dir",
str(output_dir),
"--provider",
"anthropic",
"--model-id",
"claude-test",
]
)
with pytest.raises(SystemExit, match="ANTHROPIC_API_KEY"):
asyncio.run(_run(args))
assert not output_dir.exists()
def test_pilot_rejects_wrong_broker_before_creating_trace(
tmp_path, monkeypatch: pytest.MonkeyPatch
) -> None:
class WrongBroker:
def __init__(self, *_: object, **__: object) -> None:
pass
async def health(self):
return {
"status": "ok",
"broker_version": "windows-autocad-2019-v7",
"input_driver": "pyautogui-0.9.54-v3",
"input_driver_ready": True,
"width": 1920,
"height": 1080,
}
monkeypatch.setenv("OPENAI_API_KEY", "test-key")
monkeypatch.setenv("AUTOCAD_BROKER_TOKEN", "test-token")
monkeypatch.setattr(pilot_module, "HttpDesktopBroker", WrongBroker)
output_dir = tmp_path / "must-not-exist"
args = build_parser().parse_args(
[
"--broker-url",
"http://127.0.0.1:8765",
"--output-dir",
str(output_dir),
]
)
with pytest.raises(SystemExit, match="rollout preflight"):
asyncio.run(_run(args))
assert not output_dir.exists()
def test_live_trace_writer_persists_frames_turns_receipts_and_atomic_state(
tmp_path,
) -> None:
output_dir = tmp_path / "run"
output_dir.mkdir()
screenshot = DesktopScreenshot(
session_id="session",
sequence=0,
captured_at="2026-07-15T00:00:00Z",
width=1920,
height=1080,
autocad_maximized=True,
png_sha256=hashlib.sha256(_PNG).hexdigest(),
png=_PNG,
)
writer = _LiveTraceWriter(
output_dir=output_dir,
task_id="task-001",
attempt_id="pilot-test",
provider="openai",
model_id="gpt-5.6-sol",
reasoning_effort="xhigh",
reasoning_max_tokens=None,
reference_png=_PNG,
)
writer("screenshot", screenshot)
writer(
"turn",
ModelTurn(
tool_use_id="call-1",
action_payload={"action": "done"},
stop_reason="completed",
usage={"input_tokens": 10, "output_tokens": 2, "total_tokens": 12},
latency_ms=42.0,
model_input={
"model": "gpt-5.6-sol",
"messages": [
{
"content": [
{"type": "text", "text": "very large repeated history"},
{
"type": "image",
"artifact_path": "frames/frame_0000.png",
"sha256": "abc",
"bytes": 123,
},
],
}
],
},
),
)
writer(
"action_result",
{
"action_index": 1,
"request_id": "action-1",
"idempotent_replay": False,
"receipt": {"ok": True},
"screenshot": screenshot,
"action": {"action": "done", "intent": "Finish."},
"tool_use_id": "call-1",
"batch_index": 1,
"batch_size": 1,
"batch_start_action_index": 1,
},
)
writer.finish(
{
"completed": True,
"stop_reason": "done",
"failure": None,
"accepted_actions": 1,
"invalid_actions": 0,
"screenshots": 1,
}
)
assert (output_dir / "reference.png").read_bytes() == _PNG
assert (output_dir / "frames" / "frame_0000.png").read_bytes() == _PNG
turn = json.loads((output_dir / "model_turns.jsonl").read_text())
assert turn["model_input"]["model"] == "gpt-5.6-sol"
compact_turn = json.loads((output_dir / "model_turn_summaries.jsonl").read_text())
assert compact_turn["model_input"] == {
"model": "gpt-5.6-sol",
"artifacts": [
{
"type": "image",
"artifact_path": "frames/frame_0000.png",
"sha256": "abc",
"bytes": 123,
}
],
}
assert "very large repeated history" not in json.dumps(compact_turn)
receipt = json.loads((output_dir / "input_receipts.jsonl").read_text())
assert receipt["receipt"] == {"ok": True}
assert receipt["request_id"] == "action-1"
assert receipt["idempotent_replay"] is False
assert receipt["tool_use_id"] == "call-1"
assert receipt["batch_index"] == 1
assert receipt["batch_size"] == 1
assert receipt["action"]["intent"] == "Finish."
state = json.loads((output_dir / "run-state.json").read_text())
assert state["state"] == "completed"
assert state["accepted_actions"] == 1
assert state["usage"] == {
"input_tokens": 10,
"output_tokens": 2,
"total_tokens": 12,
}
assert not (output_dir / "run-state.json.tmp").exists()
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