from __future__ import annotations import json from pathlib import Path ROOT=Path(__file__).resolve().parents[1] def test_executor_has_single_model_governance_sqlite_write_path(): unit=(ROOT/"deploy/systemd/aios-external-agent-executor.service").read_text() assert "AIOS_MODEL_GOVERNANCE_DB=/var/lib/aios-model-governance/state.sqlite3" in unit assert "AIOS_MODEL_GOVERNANCE_ENABLED=1" in unit assert "ReadWritePaths=/var/lib/aios-model-governance" in unit assert "ReadWritePaths=/var/lib/aios-external-agent-executor" in unit assert "InaccessiblePaths=/etc/aios-gitops" in unit assert "InaccessiblePaths=/data/aios-gitops" in unit def test_tmpfiles_owner_matches_external_executor(): line=(ROOT/"deploy/tmpfiles.d/aios-model-governance.conf").read_text().strip() assert line == ( "d /var/lib/aios-model-governance 0750 " "aios-engineering-executor aios-executor-exchange -" ) def test_staging_models_use_real_e2e_evaluation_evidence(): value=json.loads( (ROOT/"config/model-governance/model-governance.staging.json").read_text() ) assert value["schema"]=="aios.model-governance.bootstrap.v1" models={item["model_id"]:item for item in value["models"]} assert models["deepseek-v4-flash"]["evaluation_sha256"] == ( "43ae0db1640daeb6d33e2787769732844f366d36070065d3a2239905bd9a823b" ) assert models["openai/deepseek-v4-flash"]["evaluation_sha256"] == ( "7b1c89634eb9c0e7cb5a3d75323d904ebbd91b3ae5494ce938bd8316a4cf5b12" ) def test_runtime_profiles_bind_model_from_governance_not_task(): for name in ("hermes","openclaw"): value=json.loads( (ROOT/"config/external-agent-runtime.d"/f"{name}.profile.json").read_text() ) governance=value["model_governance"] assert governance["required"] is True assert governance["provider_ids"] assert governance["max_output_tokens"] > 0 serialized=json.dumps(value["argv"])+json.dumps(value.get("environment",{})) assert "{model_id}" in serialized or "{provider_id}" in serialized def test_staging_bootstrap_has_explicit_tenant_live_policy(): value=json.loads( (ROOT/"config/model-governance/model-governance.staging.json").read_text() ) keys={ ( item["scope_type"], item.get("tenant_id"), item.get("project_id"), ) for item in value["policies"] } assert ("legacy",None,None) in keys assert ("tenant","model-governance-live","staging") in keys def test_staging_policy_input_limit_covers_root_owned_openclaw_reservation_floor(): config=json.loads( (ROOT/"config/model-governance/model-governance.staging.json").read_text() ) profile=json.loads( (ROOT/"config/external-agent-runtime.d/openclaw.profile.json").read_text() ) floor=int(profile["model_governance"]["input_reservation_floor_tokens"]) assert floor==16384 openclaw_model="openai/deepseek-v4-flash" relevant=[ policy for policy in config["policies"] if openclaw_model in policy["allowed_models"] ] assert relevant for policy in relevant: assert int(policy["max_input_tokens_per_request"]) >= floor def test_staging_openclaw_scope_limit_is_least_privilege_floor_not_model_ceiling(): config=json.loads( (ROOT/"config/model-governance/model-governance.staging.json").read_text() ) models={item["model_id"]:item for item in config["models"]} model=models["openai/deepseek-v4-flash"] assert int(model["max_input_tokens"])==32768 for policy in config["policies"]: if "openai/deepseek-v4-flash" in policy["allowed_models"]: assert int(policy["max_input_tokens_per_request"])==16384 assert int(policy["max_input_tokens_per_request"]) < int(model["max_input_tokens"])