dongarandClaude Opus 5.5
154a0c3fa8
What isn't the dev agent's moves to nisse-core, unchanged in behaviour, with its tests: canonical, render, render_anthropic, llm, catalog, probe, context, views, state, reconcile, worker, cancel, dump, transport, matrix, execution, testing, vault, memory, oplog, envfile and gitea (whole). - nisse_core.state.StateStore holds the tables every agent has; an agent's subclass adds its tables (version, migrations), roles and views. nisse_dev.state.StateStore adds the build VM blocks (v5). - views.project takes what each role is shown, rather than a fixed table. - Vault takes the agent's name (agent=), for provenance. - A test that nisse_core never imports an agent. - The loop, config, git, delegation, expert, tools and evals stay in nisse-dev until nisse-ops has a loop to share. Docs: the Development Plan marks M7.1 done and notes that Phase 6 waits on the agent host and Terraform; Architecture Part L names the package. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01J5Utyfzw7gF7UhjRDEtjTk
59 lines
1.8 KiB
Python
59 lines
1.8 KiB
Python
"""A real consult over the normalized route (L9).
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The point is the prompt-level contract: a live model must produce something
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that parses against our local schema, since no API-level enforcement exists.
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"""
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import io
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from pathlib import Path
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import pytest
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from nisse_core.llm import LiteLLMClient, RoleMap
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from nisse_core.oplog import OpLog
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from nisse_dev.evals import collect
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from nisse_dev.expert import BudgetExhausted, ExpertDesk
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from nisse_dev.state import StateStore
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pytestmark = pytest.mark.integration
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@pytest.fixture
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def desk(tmp_path: Path, litellm: LiteLLMClient, live_model: str):
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def make(budget: int = 2) -> tuple[ExpertDesk, StateStore]:
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model = live_model
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roles = RoleMap(driver=model, helper=model, expert=model)
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store = StateStore(
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tmp_path / "state.db", oplog=OpLog("nisse-dev", io.StringIO())
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)
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return ExpertDesk(litellm, roles, budget=budget), store
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return make
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def test_live_consult_parses_against_the_local_schema(desk) -> None:
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expert, store = desk()
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answer = expert.ask(
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store.transcript("t", "expert"),
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"For a single-process agent storing a few thousand rows of task state, "
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"is SQLite sufficient, or is PostgreSQL warranted? Answer briefly.",
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)
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assert answer.confidence in {"high", "medium", "low"}
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assert len(answer.answer) > 20
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# The consult is captured for L9 without any extra bookkeeping.
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[record] = collect(store)
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assert record.role == "expert"
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assert record.exit_status == "answered"
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def test_live_budget_stops_a_circling_caller(desk) -> None:
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expert, store = desk(budget=1)
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expert.ask(
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store.transcript("t", "expert"),
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"Name one advantage of WAL mode in SQLite. Be brief.",
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)
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with pytest.raises(BudgetExhausted):
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expert.ask(store.transcript("t", "expert"), "And another?")
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