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fix(teacher): import _TEACHER_SYSTEM_PROMPT from its current module (#5756)

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* fix(teacher): import teacher prompt from current module

* test(teacher): make prompt monkeypatch import-order independent

---------

Co-authored-by: Alexandre Teixeira <alexandremagteixeira@gmail.com>
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DocFurious 2026-08-12 10:13:16 +03:00 • committed by GitHub
parent e7eddbae13
commit 17ee856d1c
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2 changed files with 11 additions and 2 deletions
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3
src/teacher_escalation.py
View file

@ -233,7 +233,8 @@ async def _call_teacher(teacher_model_spec: str, prompt: str,
owner: Optional[str] = None) -> Optional[str]:
"""Call the configured teacher endpoint with the escalation prompt."""
from src.llm_core import llm_call_async
from src.ai_interaction import _resolve_model, _TEACHER_SYSTEM_PROMPT
from src.ai_interaction import _resolve_model
from src.agent_tools.model_interaction_tools import _TEACHER_SYSTEM_PROMPT
try:
url, model, headers = await asyncio.to_thread(_resolve_model, teacher_model_spec, owner=owner)
except Exception as e:

10
tests/test_teacher_audit_owner_scope.py
View file

@ -21,10 +21,17 @@ def test_call_teacher_scopes_model_resolution_to_owner(monkeypatch):
return ("http://endpoint.local/v1", "teacher-model", {})
async def fake_llm_call_async(url, model, messages, **kwargs):
seen["messages"] = messages
return "teacher reply"
from src.agent_tools import model_interaction_tools
monkeypatch.setattr("src.ai_interaction._resolve_model", fake_resolve_model)
monkeypatch.setattr("src.ai_interaction._TEACHER_SYSTEM_PROMPT", "sys", raising=False)
monkeypatch.setattr(
model_interaction_tools,
"_TEACHER_SYSTEM_PROMPT",
"sys",
)
monkeypatch.setattr("src.llm_core.llm_call_async", fake_llm_call_async)
result = asyncio.run(
@ -34,6 +41,7 @@ def test_call_teacher_scopes_model_resolution_to_owner(monkeypatch):
assert result == "teacher reply"
assert seen["owner"] == "alice"
assert seen["spec"] == "teacher-model"
assert seen["messages"][0] == {"role": "system", "content": "sys"}
def test_audit_teacher_resolution_scoped_to_owner(monkeypatch):