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Report Strategy retry progress correctly #218

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Merged
FluffyAIcode merged 1 commit into from
Jul 21, 2026
Merged

Report Strategy retry progress correctly #218

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15 changes: 12 additions & 3 deletions autoresearch/prefill/supervisor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -569,11 +569,20 @@ def _emit(self) -> None:
).get("prefill", {})
except Exception:
return
total = self._delta(current, "remote_job_tokens_total")
computed = self._delta(current, "remote_job_tokens_computed")
new_remote_jobs = self._delta(current, "remote_jobs")
if new_remote_jobs:
# These two fields are gauges for the current job, not cumulative
# counters. Subtracting the previous same-length job makes a retry
# look permanently stuck at 0/0.
total = int(current.get("remote_job_tokens_total", 0))
computed = int(current.get("remote_job_tokens_computed", 0))
else:
total = 0
computed = 0
state = (
computed,
total,
new_remote_jobs,
self._delta(current, "remote_hits"),
self._delta(current, "tokens_reused"),
)
Expand All @@ -583,7 +592,7 @@ def _emit(self) -> None:
percent = min(100.0, 100.0 * computed / total)
print(
f"[autoresearch] Strategy Prefill: {computed}/{total} tokens "
f"({percent:.1f}%) · remote_hits={state[2]} reused={state[3]}",
f"({percent:.1f}%) · remote_hits={state[3]} reused={state[4]}",
flush=True,
)

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10 changes: 6 additions & 4 deletions tests/inference_engine/bench/test_autoresearch_supervisor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -397,23 +397,25 @@ def test_runtime_health_check_is_read_only(monkeypatch):
def test_strategy_prefill_heartbeat_reports_delta(monkeypatch, capsys):
heartbeat = StrategyPrefillHeartbeat(interval_s=0.01)
heartbeat._baseline = {
"remote_job_tokens_total": 100,
"remote_job_tokens_computed": 100,
"remote_jobs": 10,
"remote_job_tokens_total": 300,
"remote_job_tokens_computed": 300,
"remote_hits": 2,
"tokens_reused": 20,
}
monkeypatch.setattr(
"autoresearch.prefill.supervisor._json_request",
lambda _url: {"prefill": {
"remote_jobs": 11,
"remote_job_tokens_total": 300,
"remote_job_tokens_computed": 228,
"remote_job_tokens_computed": 128,
"remote_hits": 3,
"tokens_reused": 84,
}},
)
heartbeat._emit()
output = capsys.readouterr().out
assert "128/200 tokens (64.0%)" in output
assert "128/300 tokens (42.7%)" in output
assert "remote_hits=1 reused=64" in output


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