feat: per-tier routing activation (v0c)

RoutingPolicy gains tier_modes: a tier entry may be a string
(model, mode inherits global) or {model, mode}. The explicit
tier mode overrides the global mode in both directions, so plan
can be active while goal/default stay shadow, and one tier can
be rolled back to off without touching the others. An invalid
tier mode drops that tier entirely (fail-closed: a typo must
never accidentally activate a tier, and never kills other
tiers). Tier-off tasks return worker_default and are not
audited as policy/shadow, so they never inflate shadow sample
counts. Explicit task and worker-CLI models still win over any
tier mode.

Tests: test_routing_tier.py (5 tests).
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host committed 2026-11-04 18:01:44 +00:00
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+64 -14
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@@ -178,21 +178,38 @@ def _clean_tiers(raw):
class RoutingPolicy:
"""A parsed, versioned routing policy (or an empty one).
``mode`` is one of ``off`` / ``shadow`` / ``active``. ``tiers`` maps
a tier name to a model name; a tier absent from the map falls back
to the worker default. ``fallback_models`` is parsed and validated
but deliberately NOT applied by v0: the worker's explicit
``--fallback-models`` remains the only source that can enable a real
fallback retry, so a policy file alone can never start burning a
second attempt's quota.
``mode`` is one of ``off`` / ``shadow`` / ``active`` and is the
default for every tier. ``tiers`` maps a tier name to a model
name; a tier absent from the map falls back to the worker
default. ``tier_modes`` (v0c, per-tier activation) maps a tier
name to an explicit mode that overrides the global ``mode`` in
both directions: a tier can be ``active`` while the global mode
is ``shadow``/``off`` (activate plan first), and a tier can be
``off`` while the global mode is ``active`` (roll back one tier
without touching the others). A tier entry whose mode is not a
valid mode is dropped entirely by the parser (fail-closed: a
typo must never accidentally activate a tier).
``fallback_models`` is parsed and validated but deliberately
NOT applied by v0: the worker's explicit ``--fallback-models``
remains the only source that can enable a real fallback retry,
so a policy file alone can never start burning a second
attempt's quota.
"""
def __init__(self, version=None, mode="shadow", tiers=None,
fallback_models=None):
fallback_models=None, tier_modes=None):
self.version = version if isinstance(version, str) \
and version.strip() else None
self.mode = mode if mode in ROUTING_MODES else "off"
self.tiers = dict(tiers or {})
self.tier_modes = {}
for tier, tier_mode in (tier_modes or {}).items():
if tier in self.tiers and tier_mode in ROUTING_MODES:
self.tier_modes[tier] = tier_mode
def tier_mode(self, tier):
"""Effective mode for one tier: explicit tier mode, else global."""
return self.tier_modes.get(tier, self.mode)
self.fallback_models = []
for item in fallback_models or []:
model = _clean_model_name(item)
@@ -215,6 +232,24 @@ def parse_routing_policy(data):
if mode not in ROUTING_MODES:
return None
tiers = _clean_tiers(data.get("tiers"))
if not tiers:
return None
# Per-tier modes (v0c): a tier entry may be a string (model,
# mode inherits global) or a dict {"model": ..., "mode": ...}.
# An invalid tier mode drops the whole tier entry (fail-closed),
# it never falls back to the global mode where a typo could
# accidentally activate, and never kills the other tiers.
raw_tiers = data.get("tiers") if isinstance(data.get("tiers"),
dict) else {}
tier_modes = {}
for tier, entry in raw_tiers.items():
if not isinstance(entry, dict) or "mode" not in entry:
continue
tier_mode = entry.get("mode")
if tier_mode in ROUTING_MODES:
tier_modes[tier] = tier_mode
else:
tiers.pop(tier, None)
if not tiers:
return None
fallback_models = data.get("fallback_models")
@@ -222,7 +257,8 @@ def parse_routing_policy(data):
list):
return None
return RoutingPolicy(version=data.get("version"), mode=mode,
tiers=tiers, fallback_models=fallback_models)
tiers=tiers, fallback_models=fallback_models,
tier_modes=tier_modes)
def load_routing_policy(env=None):
@@ -305,7 +341,10 @@ def decide_routing(task, worker_model, policy=None,
1. task-level ``model`` (explicit) -- never overridden;
2. worker CLI ``--model`` (explicit) -- a pinned deployment is never
silently changed by a policy file;
3. active policy tier model -- only when the task named no model;
3. policy tier model in the tier's effective mode (v0c: explicit
tier mode, else the global mode) -- only when the task named
no model; ``active`` applies the tier model, ``shadow``
suggests it, ``off`` falls back to the worker default;
4. worker default chain (config file / ``DEFAULT_MODEL``).
Shadow mode returns the worker default as ``chosen_model`` and the
@@ -335,11 +374,11 @@ def decide_routing(task, worker_model, policy=None,
suggested_model=None, source="worker_explicit",
policy_version=None, applied=True,
reason="worker CLI model explicit", signals=signals)
if policy is None or policy.mode == "off":
if policy is None:
return RoutingDecision(
task_id=task.get("id"), tier=tier, chosen_model=worker_model,
suggested_model=None, source="worker_default",
policy_version=getattr(policy, "version", None),
policy_version=None,
applied=True, reason="routing off or no policy",
signals=signals)
tier_model = policy.tiers.get(tier)
@@ -349,14 +388,25 @@ def decide_routing(task, worker_model, policy=None,
suggested_model=None, source="worker_default",
policy_version=policy.version, applied=True,
reason="%s tier has no policy model" % tier, signals=signals)
if policy.mode == "shadow":
# Per-tier effective mode (v0c): explicit tier mode overrides
# the global mode in both directions. A tier in "off" is not
# routed at all (no policy/shadow audit downstream, so it never
# inflates a shadow sample count).
effective_mode = policy.tier_mode(tier)
if effective_mode == "off":
return RoutingDecision(
task_id=task.get("id"), tier=tier, chosen_model=worker_model,
suggested_model=None, source="worker_default",
policy_version=policy.version, applied=True,
reason="%s tier mode is off" % tier, signals=signals)
if effective_mode == "shadow":
return RoutingDecision(
task_id=task.get("id"), tier=tier, chosen_model=worker_model,
suggested_model=tier_model, source="shadow",
policy_version=policy.version, applied=False,
reason="%s tier suggests %s (shadow, not applied)"
% (tier, tier_model), signals=signals)
# mode == "active"
# effective_mode == "active"
return RoutingDecision(
task_id=task.get("id"), tier=tier, chosen_model=tier_model,
suggested_model=None, source="policy",
+107
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@@ -0,0 +1,107 @@
"""分档激活 v0c 单测:档模式优先全局、字符串兼容、无效档模式丢档。
运行(在仓库根目录下):
python3 -m unittest discover -s cloud/tests -p "test_routing_tier.py" -v
说明:纯函数单测,不碰库、不联网、不跑模型。关键断言:
全局 shadow 时 plan 档 active 只切 plan 档、其余档仍影子;
全局 active 时某档 off 只回滚该档;档模式写错时该档整档
丢掉、不回落全局(防 typo 误激活),其余档不受影响;
字符串档写法继续按全局模式走。
"""
import sys
import unittest
from pathlib import Path
try:
from cloud.models import decide_routing, parse_routing_policy
except ImportError:
sys.path.insert(0, str(Path(__file__).resolve().parents[2]))
from cloud.models import decide_routing, parse_routing_policy
def _policy(data):
policy = parse_routing_policy(data)
assert policy is not None, data
return policy
class TierModeTestCase(unittest.TestCase):
def test_plan_active_only_under_global_shadow(self):
policy = _policy({
"mode": "shadow",
"tiers": {
"plan": {"model": "gpt-6.1-sol", "mode": "active"},
"goal": "gpt-6.1-sol",
"default": "gpt-6.1-sol",
},
})
plan = decide_routing({"id": "t1", "plan": True}, "gpt-5.6-terra",
policy=policy)
self.assertEqual(plan.source, "policy")
self.assertTrue(plan.applied)
self.assertEqual(plan.chosen_model, "gpt-6.1-sol")
goal = decide_routing({"id": "t2", "goal_mode": True},
"gpt-5.6-terra", policy=policy)
self.assertEqual(goal.source, "shadow")
self.assertFalse(goal.applied)
self.assertEqual(goal.suggested_model, "gpt-6.1-sol")
self.assertEqual(goal.chosen_model, "gpt-5.6-terra")
def test_tier_off_rolls_back_only_that_tier(self):
policy = _policy({
"mode": "active",
"tiers": {
"plan": {"model": "gpt-6.1-sol", "mode": "off"},
"default": "gpt-6.1-sol",
},
})
plan = decide_routing({"id": "t1", "plan": True}, "gpt-5.6-terra",
policy=policy)
self.assertEqual(plan.source, "worker_default")
self.assertEqual(plan.chosen_model, "gpt-5.6-terra")
default = decide_routing({"id": "t2"}, "gpt-5.6-terra",
policy=policy)
self.assertEqual(default.source, "policy")
self.assertEqual(default.chosen_model, "gpt-6.1-sol")
def test_string_tier_inherits_global_mode(self):
policy = _policy({
"mode": "shadow",
"tiers": {"plan": "gpt-6.1-sol"},
})
decision = decide_routing({"id": "t1", "plan": True},
"gpt-5.6-terra", policy=policy)
self.assertEqual(decision.source, "shadow")
self.assertFalse(decision.applied)
def test_invalid_tier_mode_drops_tier_not_global(self):
policy = _policy({
"mode": "active",
"tiers": {
"plan": {"model": "gpt-6.1-sol", "mode": "activ"},
"default": "gpt-6.1-sol",
},
})
self.assertNotIn("plan", policy.tiers)
plan = decide_routing({"id": "t1", "plan": True}, "gpt-5.6-terra",
policy=policy)
# 丢档 = 回 worker 默认,不按全局 active 误激活。
self.assertEqual(plan.source, "worker_default")
self.assertEqual(plan.chosen_model, "gpt-5.6-terra")
default = decide_routing({"id": "t2"}, "gpt-5.6-terra",
policy=policy)
self.assertEqual(default.source, "policy")
def test_explicit_task_and_worker_still_win(self):
policy = _policy({
"mode": "active",
"tiers": {"plan": {"model": "gpt-6.1-sol",
"mode": "active"}},
})
explicit = decide_routing(
{"id": "t1", "plan": True, "model": "gpt-5.6-terra"},
"gpt-5.6-terra", policy=policy)
self.assertEqual(explicit.source, "explicit")
self.assertEqual(explicit.chosen_model, "gpt-5.6-terra")