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[eric] browser: empty aux body is a broken lane, not a NO (gpt fast path was silently off)

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ciregenz
2026-07-26 22:33:57 -07:00
parent cb0b46e582
commit acab50115b
1 changed files with 28 additions and 16 deletions
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backend/apps/agents/browser/browser_fast_path.py
+28 -16
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@@ -250,23 +250,35 @@ async def classify_and_brief(prompt: str, settings, primary_api: str | None) ->
from backend.apps.settings.credentials import get_anthropic_client_for_model
from backend.apps.agents.providers.registry import resolve_aux_model
aux_model, _ = await resolve_aux_model(
settings, preferred_tier="haiku", primary_api=primary_api,
)
client = get_anthropic_client_for_model(settings, aux_model)
resp = await asyncio.wait_for(
client.messages.create(
model=aux_model,
max_tokens=250,
temperature=0,
system=P_CLASSIFIER_SYSTEM,
messages=[{"role": "user", "content": (
normalize_for_classifier(prompt[:2000]) + seed_hints_for_task(prompt))}],
),
timeout=8.0,
)
from backend.apps.agents.core.aux_llm import safe_resp_text
verdict, brief = parse_verdict_and_brief(safe_resp_text(resp))
async def p_ask(api: str | None) -> tuple[str, str, str]:
aux_model, _ = await resolve_aux_model(
settings, preferred_tier="haiku", primary_api=api,
)
client = get_anthropic_client_for_model(settings, aux_model)
resp = await asyncio.wait_for(
client.messages.create(
model=aux_model,
max_tokens=250,
temperature=0,
system=P_CLASSIFIER_SYSTEM,
messages=[{"role": "user", "content": (
normalize_for_classifier(prompt[:2000]) + seed_hints_for_task(prompt))}],
),
timeout=8.0,
)
return safe_resp_text(resp), aux_model, ""
text, aux_model, _ = await p_ask(primary_api)
# An EMPTY body is a broken lane, not a verdict. Measured live: cx/gpt-5.4-mini returns ''
# for this call, which parsed to "no" and silently switched the whole browser fast path off
# for every GPT user, with no error to show for it. Fall back once to the provider-agnostic
# cheap tier (same cure as the distill fix) so a mute aux can't disable a working feature.
if not text.strip() and primary_api:
logger.info(f"[browser-fast-path] classifier empty on {aux_model}; retrying provider-agnostic")
text, aux_model, _ = await p_ask(None)
verdict, brief = parse_verdict_and_brief(text)
logger.info(
f"[browser-fast-path] classifier: {verdict.upper()} brief={len(brief)}ch "
f"model={aux_model} in {int((time.monotonic() - t0) * 1000)}ms"