fix(ai): offload model resolution from async paths

Wrap blocking _resolve_model calls in asyncio.to_thread across async model interaction paths so endpoint/model resolution does not stall the event loop. Preserve owner-scoped resolution and add focused regression coverage.
This commit is contained in:
tanmayraut45
2026-06-28 05:18:35 +05:30
committed by GitHub
parent 8b110c28e6
commit c01c09559a
8 changed files with 80 additions and 14 deletions
+2 -2
View File
@@ -235,7 +235,7 @@ async def _call_teacher(teacher_model_spec: str, prompt: str,
from src.llm_core import llm_call_async
from src.ai_interaction import _resolve_model, _TEACHER_SYSTEM_PROMPT
try:
url, model, headers = _resolve_model(teacher_model_spec, owner=owner)
url, model, headers = await asyncio.to_thread(_resolve_model, teacher_model_spec, owner=owner)
except Exception as e:
logger.warning(f"teacher endpoint not resolvable ({teacher_model_spec!r}): {e}")
return None
@@ -619,7 +619,7 @@ async def run_teacher_inline(
# Resolve teacher endpoint
try:
from src.ai_interaction import _resolve_model
teacher_url, teacher_model, teacher_headers = _resolve_model(teacher_spec, owner=owner)
teacher_url, teacher_model, teacher_headers = await asyncio.to_thread(_resolve_model, teacher_spec, owner=owner)
except Exception as e:
logger.warning(f"teacher endpoint not resolvable ({teacher_spec!r}): {e}")
yield (