hermes-agent/tests/agent/test_moa_progress.py
SquabbyZ 89e6f4c989 feat(agent): add MOA progress indicator (#59546)
Adds per-reference progress events and a phase-transition marker to the
MoA display pipeline so TUI / CLI / desktop surfaces can render a status
bar like `MOA: 2/3 refs done` and surface which phase (reference vs
aggregator) is currently active.

  - `moa.progress`  — fired once per reference completion with
                       `refs_done`, `refs_total`, and the source label
  - `moa.phase`     — fired on phase transitions (currently the single
                       `phase="aggregator"` transition once the fan-out
                       finishes)

Plumbed through the existing `reference_callback` →
`tool_progress_callback` → gateway path; no new UI surface. The legacy
`moa.reference` / `moa.aggregating` events are unchanged for backwards
compatibility.

AI-assisted fix by https://github.com/SquabbyZ/peaks-loop
2026-07-23 18:11:57 -07:00

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Python

"""Tests for the MOA progress indicator added in issue #59546.
The MoA facade (``MoAChatCompletions.create``) emits a sequence of display
events so a TUI / CLI / desktop surface can render progress as references
complete and the phase transitions from ``reference`` to ``aggregator``:
- ``moa.progress`` — fired once per reference completion with
``refs_done`` and ``refs_total`` (e.g. drives a
status-bar ``MOA: 2/3 refs done`` indicator)
- ``moa.phase`` — fired once per phase transition (currently only the
``phase="aggregator"`` transition right before the
aggregator acts)
These tests exercise the real callback surface end-to-end through the
display hook (``reference_callback``) — no mocks on the dispatch path.
The LLM is stubbed via ``call_llm`` so the test does not depend on any
real provider.
"""
from __future__ import annotations
from types import SimpleNamespace
from unittest.mock import patch
import pytest
def _response(content="ok"):
message = SimpleNamespace(content=content, tool_calls=[])
choice = SimpleNamespace(message=message, finish_reason="stop")
return SimpleNamespace(choices=[choice], usage=None, model="fake")
@pytest.fixture
def moa_config(tmp_path, monkeypatch):
home = tmp_path / ".hermes"
home.mkdir()
(home / "config.yaml").write_text(
"""
moa:
default_preset: closed
presets:
closed:
enabled: true
reference_models:
- provider: openrouter
model: anthropic/claude-opus-4.8
- provider: openrouter
model: openai/gpt-5.5
- provider: openrouter
model: google/gemini-3-pro
aggregator:
provider: openrouter
model: anthropic/claude-opus-4.8
""".strip(),
encoding="utf-8",
)
monkeypatch.setenv("HERMES_HOME", str(home))
return home
def _collect_emits(facade):
"""Pull every event the facade dispatches into a flat list of (event, kwargs)."""
captured: list[tuple[str, dict]] = []
def _capture(event: str, **kwargs):
captured.append((event, kwargs))
facade.reference_callback = _capture
return captured
def test_moa_progress_fires_for_each_reference(moa_config, monkeypatch):
"""One ``moa.progress`` event per reference completion with monotonic counts."""
from agent.moa_loop import MoAChatCompletions
def fake_call_llm(**kwargs):
# Per-model stub: each reference returns a stable string so we can
# assert labels flow through; the aggregator returns the acting text.
if kwargs.get("task") == "moa_reference":
return _response(f"advice from {kwargs.get('model', '?')}")
return _response("acted")
monkeypatch.setattr("agent.moa_loop.call_llm", fake_call_llm)
facade = MoAChatCompletions("closed")
captured = _collect_emits(facade)
facade.create(
model="closed",
messages=[{"role": "user", "content": "clean the db"}],
)
progress_events = [(e, k) for (e, k) in captured if e == "moa.progress"]
# 3 references configured in moa_config => 3 progress events.
assert len(progress_events) == 3
# Monotonic 1/3, 2/3, 3/3 — each event carries the current count and total.
expected_counts = [(1, 3), (2, 3), (3, 3)]
actual_counts = [
(k["refs_done"], k["refs_total"]) for (_, k) in progress_events
]
assert actual_counts == expected_counts
# Every progress event names the source model slot (or close to it) so a
# status bar can render ``MOA: 2/3 refs done — openai/gpt-5.5``.
for _, kwargs in progress_events:
assert "label" in kwargs
assert kwargs["label"]
def test_moa_phase_transitions_to_aggregator(moa_config, monkeypatch):
"""A single ``moa.phase`` event with ``phase="aggregator"`` fires after the fan-out."""
from agent.moa_loop import MoAChatCompletions
def fake_call_llm(**kwargs):
if kwargs.get("task") == "moa_reference":
return _response("advice")
return _response("acted")
monkeypatch.setattr("agent.moa_loop.call_llm", fake_call_llm)
facade = MoAChatCompletions("closed")
captured = _collect_emits(facade)
facade.create(
model="closed",
messages=[{"role": "user", "content": "plan the migration"}],
)
phase_events = [(e, k) for (e, k) in captured if e == "moa.phase"]
# Exactly one phase event per turn, identifying the aggregator.
assert len(phase_events) == 1
_event, kwargs = phase_events[0]
assert kwargs["phase"] == "aggregator"
assert kwargs["aggregator"] == "openrouter:anthropic/claude-opus-4.8"
# counts match the configured reference count
assert kwargs["refs_done"] == 3
assert kwargs["refs_total"] == 3
def test_moa_progress_counts_match_n_references(moa_config, monkeypatch):
"""Progress counters equal ``len(reference_models)`` regardless of size."""
from agent.moa_loop import MoAChatCompletions
def fake_call_llm(**kwargs):
if kwargs.get("task") == "moa_reference":
return _response("advice")
return _response("acted")
monkeypatch.setattr("agent.moa_loop.call_llm", fake_call_llm)
facade = MoAChatCompletions("closed")
captured = _collect_emits(facade)
facade.create(
model="closed",
messages=[{"role": "user", "content": "summarize"}],
)
progress_events = [(e, k) for (e, k) in captured if e == "moa.progress"]
totals = [k["refs_total"] for _, k in progress_events]
# Every event reports the same total — the preset's reference-model count.
assert totals and all(t == 3 for t in totals)
# And the final done-count equals the total (fan-out finished).
final = progress_events[-1][1]
assert final["refs_done"] == final["refs_total"]
def test_moa_progress_event_order_matches_fanout(moa_config, monkeypatch):
"""Every progress event fires AFTER its matching moa.reference event.
Listeners that animate one block per reference (collapsible) need the
progress notification to land after the per-reference text so the
status-bar counter and the rendered block stay in lockstep.
"""
from agent.moa_loop import MoAChatCompletions
def fake_call_llm(**kwargs):
if kwargs.get("task") == "moa_reference":
return _response("advice")
return _response("acted")
monkeypatch.setattr("agent.moa_loop.call_llm", fake_call_llm)
facade = MoAChatCompletions("closed")
captured = _collect_emits(facade)
facade.create(
model="closed",
messages=[{"role": "user", "content": "rank the options"}],
)
# Walk the events; every progress event must be preceded by its reference
# text event (matching ``index``). The full sequence ends with the
# aggregator phase event.
seen_phase = False
for event, kwargs in captured:
if event == "moa.reference":
assert kwargs["index"] <= kwargs["count"]
elif event == "moa.progress":
assert kwargs["refs_done"] <= kwargs["refs_total"]
elif event == "moa.phase":
# No further reference events after the aggregator phase event.
assert kwargs["phase"] == "aggregator"
seen_phase = True
elif event == "moa.aggregating":
# Legacy marker still fires for backwards compatibility, and it
# always lands AFTER the phase event.
assert seen_phase
assert seen_phase, "expected at least one moa.phase event"
def test_moa_progress_callback_none_safe(moa_config, monkeypatch):
"""A missing ``reference_callback`` does not break the fan-out or create()."""
from agent.moa_loop import MoAChatCompletions
def fake_call_llm(**kwargs):
if kwargs.get("task") == "moa_reference":
return _response("advice")
return _response("acted")
monkeypatch.setattr("agent.moa_loop.call_llm", fake_call_llm)
# No callback attached — the facade's _emit is a no-op in that case.
facade = MoAChatCompletions("closed")
assert facade.reference_callback is None
facade.create(
model="closed",
messages=[{"role": "user", "content": "noop"}],
)
# Turn still resolved cleanly; aggregator slot populated as usual.
assert facade.last_aggregator_slot is not None
assert facade.last_aggregator_slot["model"] == "anthropic/claude-opus-4.8"