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import json
import threading
import time
from dataclasses import replace
from types import SimpleNamespace
import pytest
from beampilot.agent import (
IMAGE_STUB,
NUDGE,
TOOL_DEFINITIONS,
AgentConfig,
Usage,
call_cost_usd,
run_agent,
system_prompt,
)
from beampilot.session import MeasurementSession, clean_scenario, reveal_truth
from beampilot.tools import VERDICTS
def _call(name: str, **arguments) -> SimpleNamespace:
_call.counter += 1
return SimpleNamespace(
type="function_call",
name=name,
call_id=f"call_{_call.counter}",
arguments=json.dumps({"reason": "test", **arguments}),
)
_call.counter = 0
def _response(*items, text="", tokens=(1000, 200, 100, 0)) -> SimpleNamespace:
input_tokens, output_tokens, reasoning, cached = tokens
_response.counter += 1
return SimpleNamespace(
id=f"resp_{_response.counter}",
status="completed",
output=list(items),
output_text=text,
usage=SimpleNamespace(
input_tokens=input_tokens,
input_tokens_details=SimpleNamespace(cached_tokens=cached),
output_tokens=output_tokens,
output_tokens_details=SimpleNamespace(reasoning_tokens=reasoning),
),
)
_response.counter = 0
class FakeClient:
"""Returns scripted responses and records every request."""
def __init__(self, responses):
self._responses = list(responses)
self.requests: list[dict] = []
self.responses = SimpleNamespace(create=self._create)
def _create(self, **kwargs):
self.requests.append(kwargs)
if not self._responses:
raise AssertionError("the loop asked for more responses than scripted")
response = self._responses.pop(0)
if callable(response):
return response()
return response
def _session() -> MeasurementSession:
return MeasurementSession(clean_scenario())
def test_loop_runs_tool_calls_and_stops_after_finish() -> None:
client = FakeClient(
[
_response(_call("get_setup")),
_response(
_call("measure_at", z_mm=120.0, exposure_ms=1.5),
_call("set_status", measurement_id="m1", status="accept"),
),
_response(
_call("finish", verdict="measurement_failed", explanation="test run")
),
_response(_call("get_setup")), # must never be requested
]
)
session = _session()
run = run_agent(session, client)
assert run.stop_reason == "finished"
assert len(client.requests) == 3
assert session.finished
assert run.report["verdict"] == "measurement_failed"
assert session.measurements["m1"].status == "accept"
# The two parallel calls ran in order and were both logged.
names = [c["name"] for c in run.steps[1]["tool_calls"]]
assert names == ["measure_at", "set_status"]
assert run.steps[1]["tool_calls"][0]["reason"] == "test"
def test_parallel_calls_of_one_turn_all_run_in_order_and_return() -> None:
planned = [100.0, 110.0, 130.0, 140.0, 40.0, 200.0]
batch = [_call("measure_at", z_mm=z, exposure_ms=1.5) for z in planned]
statuses = [
_call("set_status", measurement_id=f"m{i}", status="accept")
for i in range(1, len(planned) + 1)
]
client = FakeClient(
[
_response(*batch),
_response(*statuses, _call("evaluate")),
_response(_call("finish", verdict="measurement_failed", explanation="x")),
]
)
session = _session()
run = run_agent(session, client)
# Every call of a turn was executed, in the order given, in one model call.
assert [m.z_m * 1e3 for m in session.measurements.values()] == pytest.approx(
planned
)
assert all(m.status == "accept" for m in session.measurements.values())
assert [len(step["tool_calls"]) for step in run.steps] == [6, 7, 1]
assert run.steps[1]["tool_calls"][-1]["result"]["status"] == "ok"
# Each call got its own output, matched by call_id, in the next request.
sent = _outputs(client.requests[1])[-len(batch) :]
assert [o["call_id"] for o in sent] == [c.call_id for c in batch]
assert [json.loads(o["output"])["measurement_id"] for o in sent] == [
f"m{i}" for i in range(1, 7)
]
assert len(client.requests) == 3
def test_default_call_limit_is_60() -> None:
assert AgentConfig().max_model_calls == 60
def _reasoning(encrypted="enc-abc") -> SimpleNamespace:
return SimpleNamespace(type="reasoning", summary=[], encrypted_content=encrypted)
def _outputs(request: dict) -> list[dict]:
return [i for i in request["input"] if i.get("type") == "function_call_output"]
def test_requests_follow_the_stateless_responses_protocol() -> None:
first = _call("get_setup")
client = FakeClient(
[
_response(_reasoning(), first),
_response(_call("finish", verdict="measurement_failed", explanation="x")),
]
)
run_agent(_session(), client, AgentConfig(reasoning_effort="medium"))
one, two = client.requests
instructions = system_prompt()
assert one["instructions"] == two["instructions"] == instructions
for request in (one, two):
assert request["store"] is False
assert request["include"] == ["reasoning.encrypted_content"]
assert "previous_response_id" not in request
assert one["reasoning"] == {"effort": "medium"}
assert one["model"] == "muse-spark-1.2"
# Full history: task, replayed reasoning, the call, then its output.
task, reasoning, call, output = two["input"]
assert task["role"] == "user"
assert reasoning == {
"type": "reasoning",
"summary": [],
"encrypted_content": "enc-abc",
}
assert call["type"] == "function_call" and call["call_id"] == first.call_id
assert output["type"] == "function_call_output"
assert output["call_id"] == first.call_id
assert json.loads(output["output"])["wavelength_nm"] == 1064.0
def test_tool_error_goes_back_to_the_model() -> None:
client = FakeClient(
[
_response(_call("measure_at", z_mm=999.0, exposure_ms=1.0)),
_response(_call("finish", verdict="measurement_failed", explanation="x")),
]
)
run = run_agent(_session(), client)
sent = json.loads(_outputs(client.requests[1])[0]["output"])
assert "stage range" in sent["error"]
assert run.stop_reason == "finished"
def test_bad_arguments_and_unknown_tools_become_errors() -> None:
broken = SimpleNamespace(
type="function_call", name="measure_at", call_id="c1", arguments="{not json"
)
unknown = SimpleNamespace(
type="function_call", name="fire_laser", call_id="c2", arguments="{}"
)
client = FakeClient(
[
_response(broken, unknown),
_response(_call("finish", verdict="measurement_failed", explanation="x")),
]
)
run_agent(_session(), client)
outputs = [json.loads(o["output"]) for o in _outputs(client.requests[1])]
assert "not valid JSON" in outputs[0]["error"]
assert "unknown tool" in outputs[1]["error"]
def test_refused_finish_keeps_the_loop_going() -> None:
client = FakeClient(
[
_response(
_call("finish", verdict="iso_compliant", explanation="too early")
),
_response(_call("finish", verdict="measurement_failed", explanation="ok")),
]
)
run = run_agent(_session(), client)
assert (
"cannot report"
in json.loads(_outputs(client.requests[1])[0]["output"])["error"]
)
assert run.stop_reason == "finished"
assert run.report["verdict"] == "measurement_failed"
def test_text_only_reply_gets_a_nudge() -> None:
message = SimpleNamespace(
type="message",
content=[SimpleNamespace(type="output_text", text="I think M² is 1.2.")],
)
client = FakeClient(
[
_response(message, text="I think M² is 1.2."),
_response(_call("finish", verdict="measurement_failed", explanation="x")),
]
)
run_agent(_session(), client)
_, replayed, nudge = client.requests[1]["input"]
assert replayed["role"] == "assistant"
assert replayed["content"][0]["text"] == "I think M² is 1.2."
assert nudge == {"role": "user", "content": NUDGE}
def test_reasoning_only_turn_is_bridged_before_the_nudge() -> None:
"""The API wants an assistant message between reasoning and a user turn."""
client = FakeClient(
[
_response(_reasoning()),
_response(_call("finish", verdict="measurement_failed", explanation="x")),
]
)
run_agent(_session(), client)
_, reasoning, bridge, nudge = client.requests[1]["input"]
assert reasoning["type"] == "reasoning"
assert bridge["type"] == "message" and bridge["role"] == "assistant"
assert nudge["content"] == NUDGE
def test_transient_api_error_is_retried(monkeypatch) -> None:
monkeypatch.setattr("beampilot.agent.RETRY_DELAY_S", 0.0)
class RateLimitError(Exception):
pass
def busy():
raise RateLimitError("slow down")
client = FakeClient(
[
busy,
_response(_call("finish", verdict="measurement_failed", explanation="x")),
]
)
run = run_agent(_session(), client)
assert run.stop_reason == "finished"
assert len(client.requests) == 2
def test_stops_at_the_model_call_limit() -> None:
client = FakeClient([_response(_call("get_setup")) for _ in range(10)])
session = _session()
run = run_agent(session, client, AgentConfig(max_model_calls=5))
assert len(client.requests) == 5
assert run.stop_reason == "model call limit reached (5)"
# The controller writes a fallback report from session state.
assert session.finished
assert run.report["verdict"] == "measurement_failed"
assert run.report["stopped_by_limit"] == "model call limit reached (5)"
assert "Stopped by the controller" in run.report["explanation"]
def test_fallback_report_uses_determined_m2() -> None:
"""Stopped after enough good data: estimate_not_compliant, not failed."""
positions = [60.0, 100.0, 120.0, 140.0, 180.0]
calls = [
_response(_call("measure_at", z_mm=z, exposure_ms=exposure))
for z, exposure in zip(positions, [10.0, 1.5, 1.2, 1.5, 9.0], strict=True)
]
accepts = [
_response(_call("set_status", measurement_id=f"m{i}", status="accept"))
for i in range(1, 6)
]
client = FakeClient(calls + accepts)
session = _session()
run = run_agent(session, client, AgentConfig(max_model_calls=10))
assert run.report["verdict"] == "estimate_not_compliant"
assert run.report["evaluation"]["x"]["m2"] is not None
assert run.report["stopped_by_limit"].startswith("model call limit")
def test_stops_at_the_token_budget() -> None:
big = (60_000, 1_000, 500, 0)
client = FakeClient([_response(_call("get_setup"), tokens=big) for _ in range(10)])
run = run_agent(_session(), client, AgentConfig(max_total_tokens=150_000))
assert len(client.requests) == 3 # 61k, 122k, 183k tokens -> stop
assert run.stop_reason.startswith("token budget reached")
def test_stops_at_the_cost_budget() -> None:
pricey = (100_000, 10_000, 0, 0) # 0.125 + 0.0425 = $0.1675 per call
client = FakeClient(
[_response(_call("get_setup"), tokens=pricey) for _ in range(10)]
)
run = run_agent(_session(), client, AgentConfig(max_cost_usd=0.40))
assert len(client.requests) == 3
assert run.stop_reason.startswith("cost budget reached")
assert run.cost_usd == pytest.approx(3 * 0.1675)
def test_api_error_stops_cleanly() -> None:
def fail():
raise ConnectionError("network down")
client = FakeClient([fail])
run = run_agent(_session(), client)
# Type only: the message text could carry server text (e.g. a masked key).
assert run.stop_reason == "API error: ConnectionError"
assert run.steps == []
assert run.report["verdict"] == "measurement_failed"
assert run.report["stopped_by_limit"] == run.stop_reason
def test_hooks_fire_per_reply_and_per_tool_call_in_order() -> None:
events = []
client = FakeClient(
[
_response(_call("get_setup"), _call("evaluate"), text="looking"),
_response(_call("finish", verdict="measurement_failed", explanation="x")),
]
)
run_agent(
_session(),
client,
on_model_reply=lambda step: events.append(
("reply", step["call"], step["text"])
),
on_tool_call=lambda call: events.append(("tool", call["name"])),
on_step=lambda step: events.append(("step", step["call"])),
)
assert events == [
("reply", 1, "looking"),
("tool", "get_setup"),
("tool", "evaluate"),
("step", 1),
("reply", 2, ""),
("tool", "finish"),
("step", 2),
]
def test_operator_note_reaches_the_agent_and_the_run_file() -> None:
client = FakeClient(
[_response(_call("finish", verdict="measurement_failed", explanation="x"))]
)
run = run_agent(_session(), client, operator_note=" avoid z 80-100 mm ")
first = client.requests[0]["input"][0]["content"]
assert first.endswith("avoid z 80-100 mm")
assert "do not enforce it" in first
assert run.operator_note == "avoid z 80-100 mm"
assert run.to_dict()["operator_note"] == "avoid z 80-100 mm"
no_note = run_agent(
_session(),
FakeClient(
[_response(_call("finish", verdict="measurement_failed", explanation="x"))]
),
)
assert no_note.operator_note is None
def test_fault_injected_during_a_run_hits_the_next_measurement() -> None:
"""A demo button calls request_faults from another thread while the loop
runs; the next measure_at sees it."""
session = _session()
def press_button_then_measure():
threading.Thread(
target=session.request_faults, kwargs={"extra_background_counts": 3.0}
).start()
time.sleep(0.05)
return _response(_call("measure_at", z_mm=120.0, exposure_ms=1.5))
client = FakeClient(
[
_response(_call("measure_at", z_mm=120.0, exposure_ms=1.5)),
press_button_then_measure,
_response(_call("finish", verdict="measurement_failed", explanation="x")),
]
)
run = run_agent(session, client)
first, second = (s["tool_calls"][0]["result"] for s in run.steps[:2])
assert not first["flags"]["background_changed"]
assert second["flags"]["background_changed"]
assert session.fault_events[0]["source"] == "operator"
def test_api_error_text_has_type_and_status_but_no_message() -> None:
class AuthenticationError(Exception):
status_code = 401
def fail():
raise AuthenticationError("Incorrect API key provided: sk-SECRET123456")
run = run_agent(_session(), FakeClient([fail]))
assert run.stop_reason == "API error: AuthenticationError (HTTP 401)"
assert "SECRET" not in json.dumps(run.to_dict())
def test_should_stop_cancels_before_the_next_model_call() -> None:
calls = {"n": 0}
def stop_after_two() -> bool:
calls["n"] += 1
return calls["n"] > 2
client = FakeClient([_response(_call("get_setup")) for _ in range(5)])
run = run_agent(_session(), client, should_stop=stop_after_two)
assert len(client.requests) == 2
assert run.stop_reason == "cancelled by the controller"
assert run.report["stopped_by_limit"] == "cancelled by the controller"
def test_view_frame_image_reaches_the_model_but_not_the_log() -> None:
client = FakeClient(
[
_response(_call("measure_at", z_mm=120.0, exposure_ms=1.5)),
_response(_call("view_frame", measurement_id="m1")),
_response(_call("finish", verdict="measurement_failed", explanation="x")),
]
)
session = _session()
run = run_agent(session, client)
output = _outputs(client.requests[2])[-1]["output"]
assert isinstance(output, list)
text, image = output
assert json.loads(text["text"])["image_id"] == "view1-m1"
assert image["type"] == "input_image"
assert image["image_url"].startswith("data:image/png;base64,")
assert session.images == {} # handed over once, not kept
logged = json.dumps(run.to_dict()) + json.dumps(session.log)
assert "base64" not in logged
def test_requests_never_contain_the_hidden_truth() -> None:
client = FakeClient(
[
_response(_call("get_setup")),
_response(_call("measure_at", z_mm=120.0, exposure_ms=1.5)),
_response(_call("evaluate")),
_response(_call("finish", verdict="measurement_failed", explanation="x")),
]
)
session = MeasurementSession(replace(clean_scenario(), name="secret-name-7f3a"))
run_agent(session, client)
sent = json.dumps(client.requests, default=str, ensure_ascii=False)
# Measured values are legitimately close to the truth, so check that the
# scenario identity and the ground-truth fields never leave the session.
assert "secret-name-7f3a" not in sent
for key in reveal_truth(session):
if key not in ("scenario", "wavelength_nm"): # wavelength is known setup
assert key not in sent, key
def test_calls_after_a_successful_finish_are_refused() -> None:
client = FakeClient(
[
_response(
_call("finish", verdict="measurement_failed", explanation="x"),
_call("get_setup"),
),
]
)
run = run_agent(_session(), client)
assert run.stop_reason == "finished"
assert "finished" in run.steps[0]["tool_calls"][1]["result"]["error"]
def test_tool_definitions_are_strict_with_a_required_reason() -> None:
names = {tool["name"] for tool in TOOL_DEFINITIONS}
assert names == {
"get_setup",
"measure_at",
"retake_darks",
"view_frame",
"set_status",
"evaluate",
"finish",
}
for tool in TOOL_DEFINITIONS:
parameters = tool["parameters"]
assert tool["type"] == "function" and tool["strict"] is True
assert parameters["additionalProperties"] is False
assert "reason" in parameters["required"]
assert set(parameters["required"]) == set(parameters["properties"])
finish = next(t for t in TOOL_DEFINITIONS if t["name"] == "finish")
assert finish["parameters"]["properties"]["verdict"]["enum"] == list(VERDICTS)
def test_cost_uses_cached_and_contributor_prices() -> None:
usage = Usage(input_tokens=1_000_000, cached_tokens=500_000, output_tokens=100_000)
standard = 0.5 * 1.25 + 0.5 * 0.15 + 0.1 * 4.25
contributor = 0.5 * 0.10 + 0.5 * 0.002 + 0.1 * 0.20
assert call_cost_usd(usage, "muse-spark-1.2") == pytest.approx(standard)
assert call_cost_usd(usage, "muse-spark-1.2-contributor") == pytest.approx(
contributor
)
def test_system_prompt_is_short_and_complete() -> None:
prompt = system_prompt()
assert len(prompt.split()) < 1500
for word in ("ISO 11146-1", "reason", "retake_darks", "view_frame", *VERDICTS):
assert word in prompt
def test_only_the_two_latest_images_are_resent() -> None:
client = FakeClient(
[
_response(
_call("measure_at", z_mm=100.0, exposure_ms=1.5),
_call("measure_at", z_mm=120.0, exposure_ms=1.5),
_call("measure_at", z_mm=140.0, exposure_ms=1.5),
),
_response(_call("view_frame", measurement_id="m1")),
_response(_call("view_frame", measurement_id="m2")),
_response(_call("view_frame", measurement_id="m3")),
_response(_call("finish", verdict="measurement_failed", explanation="x")),
]
)
run_agent(_session(), client)
last = _outputs(client.requests[-1])
images = [o for o in last if isinstance(o["output"], list)]
stubs = [
o for o in last if isinstance(o["output"], str) and IMAGE_STUB in o["output"]
]
assert len(images) == 2
assert len(stubs) == 1 and '"view1-m1"' in stubs[0]["output"]
# Earlier requests keep what was actually sent then.
assert sum(isinstance(o["output"], list) for o in _outputs(client.requests[3])) == 2
def test_images_of_one_batched_turn_all_reach_the_model() -> None:
client = FakeClient(
[
_response(
_call("measure_at", z_mm=100.0, exposure_ms=1.5),
_call("measure_at", z_mm=120.0, exposure_ms=1.5),
_call("measure_at", z_mm=140.0, exposure_ms=1.5),
),
_response(
_call("view_frame", measurement_id="m1"),
_call("view_frame", measurement_id="m2"),
_call("view_frame", measurement_id="m3"),
),
_response(_call("get_setup")),
_response(_call("finish", verdict="measurement_failed", explanation="x")),
]
)
run_agent(_session(), client)
# All three images of the batched turn are sent once ...
assert sum(isinstance(o["output"], list) for o in _outputs(client.requests[2])) == 3
# ... and only later the oldest becomes a stub.
assert sum(isinstance(o["output"], list) for o in _outputs(client.requests[3])) == 2
def test_view_frame_can_be_switched_off_for_the_ablation() -> None:
client = FakeClient(
[
_response(
_call("get_setup"), _call("measure_at", z_mm=120.0, exposure_ms=1.5)
),
_response(_call("view_frame", measurement_id="m1")),
_response(_call("finish", verdict="measurement_failed", explanation="x")),
]
)
session = _session()
run = run_agent(session, client, AgentConfig(view_frame=False))
request = client.requests[0]
assert "view_frame" not in {t["name"] for t in request["tools"]}
assert "view_frame" not in request["instructions"]
assert "# How to work" in request["instructions"]
assert "views_left" not in run.steps[0]["tool_calls"][0]["result"]
refused = run.steps[1]["tool_calls"][0]["result"]
offered = refused["error"].split("tools: ")[1].split(", ")
assert "unknown tool 'view_frame'" in refused["error"]
assert "view_frame" not in offered and "measure_at" in offered
assert session.views_used == 0
assert "Looking at frames" in system_prompt()
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