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nisse/tests/integration/test_expert_live.py
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dongarandClaude Opus 5.5 e351d0a74e
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nisse-core: group modules into packages by architecture section
A pure move; behaviour unchanged.

- models (L9, L7): llm, catalog, probe, render, render_anthropic, context
- log (L7, L6): canonical, views
- state (L8): store (was state), reconcile, worker, cancel, dump
- knowledge (L10, L6.4): vault, memory
- conversation (L5): transport, matrix
- execution (L13): ssh (was execution), testing
- authority (P3, P4, L4): actions
- gitea, oplog, envfile stay at the top until each gains a second module.

Every import, monkeypatch target, script and doc reference rewritten.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01J5Utyfzw7gF7UhjRDEtjTk
2026-10-13 21:16:09 +00:00

59 lines
1.8 KiB
Python

"""A real consult over the normalized route (L9).
The point is the prompt-level contract: a live model must produce something
that parses against our local schema, since no API-level enforcement exists.
"""
import io
from pathlib import Path
import pytest
from nisse_core.models.llm import LiteLLMClient, RoleMap
from nisse_core.oplog import OpLog
from nisse_dev.evals import collect
from nisse_dev.expert import BudgetExhausted, ExpertDesk
from nisse_dev.state import StateStore
pytestmark = pytest.mark.integration
@pytest.fixture
def desk(tmp_path: Path, litellm: LiteLLMClient, live_model: str):
def make(budget: int = 2) -> tuple[ExpertDesk, StateStore]:
model = live_model
roles = RoleMap(driver=model, helper=model, expert=model)
store = StateStore(
tmp_path / "state.db", oplog=OpLog("nisse-dev", io.StringIO())
)
return ExpertDesk(litellm, roles, budget=budget), store
return make
def test_live_consult_parses_against_the_local_schema(desk) -> None:
expert, store = desk()
answer = expert.ask(
store.transcript("t", "expert"),
"For a single-process agent storing a few thousand rows of task state, "
"is SQLite sufficient, or is PostgreSQL warranted? Answer briefly.",
)
assert answer.confidence in {"high", "medium", "low"}
assert len(answer.answer) > 20
# The consult is captured for L9 without any extra bookkeeping.
[record] = collect(store)
assert record.role == "expert"
assert record.exit_status == "answered"
def test_live_budget_stops_a_circling_caller(desk) -> None:
expert, store = desk(budget=1)
expert.ask(
store.transcript("t", "expert"),
"Name one advantage of WAL mode in SQLite. Be brief.",
)
with pytest.raises(BudgetExhausted):
expert.ask(store.transcript("t", "expert"), "And another?")