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conductor fdc9e6566f chore(release): auto-bump version to 0.66.0 — earned by #325 (feat(ADAPT-2): operational adaptive route authority — production wiring, Evidenc)
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Promotion record: #325
2026-09-10 16:35:50 +01:00
conductor 1d2e5a678f chore(release): auto-bump version to 0.66.0 — earned by #325 (feat(ADAPT-2): operational adaptive route authority — production wiring, Evidenc)
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Promotion record: #325
2026-09-10 16:35:45 +01:00
conductor 0562499951 chore(release): auto-bump version to 0.66.0 — earned by #325 (feat(ADAPT-2): operational adaptive route authority — production wiring, Evidenc)
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Promotion record: #325
2026-09-10 16:35:38 +01:00
conductor 6dc52e073f chore(release): auto-bump version to 0.66.0 — earned by #325 (feat(ADAPT-2): operational adaptive route authority — production wiring, Evidenc)
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Promotion record: #325
2026-09-10 16:35:35 +01:00
conductor bd9e564cfe chore(release): auto-bump version to 0.66.0 — earned by #325 (feat(ADAPT-2): operational adaptive route authority — production wiring, Evidenc)
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Promotion record: #325
2026-09-10 16:35:33 +01:00
conductor 1df2972b58 Merge pull request 'feat(ADAPT-2): operational adaptive route authority — production wiring, Evidence Probe, verification escalation' (#325) from adapt2-route-authority into master
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2026-09-10 16:35:11 +01:00
Nick fae36c40f7 chore(deps): refresh lock — pyright 1.1.413 -> 1.1.414 (upstream release drift)
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The known recurring TUNE from the overnight session: the lock drifts when
upstream releases land between CI runs. Applied the documented refresh
procedure. No project code changed.
2026-09-10 16:32:45 +01:00
Nick ce195a5275 fix(tests): single adaptive_router module identity across test files
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test_adaptive_router.py spec-loaded a standalone instance into
sys.modules, splitting class identity (FloorViolation) across two module
copies — cross-file canaries failed on ordering pollution. Prefer the
normal import; spec-load only as the pathless fallback.
2026-09-10 16:25:30 +01:00
Nick 7111695cdd style: ruff format on ADAPT-2 tranche (CI format gate on added files)
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2026-09-10 16:22:46 +01:00
Nick d45d717a59 fix(ADAPT-2): remove dead ARTIFACT_MISSING block, restore fail-loud else branch
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The OUTWARD artifact-missing handler was stranded after an unconditional
return (~100 lines of unreachable code including a legacy stdout parser).
Worse: a missing OUTWARD artifact fell through to legacy stdout parsing
instead of failing loud per ADAPT-9 authority. This restores the intended
else branch: declared file absent → ARTIFACT_MISSING, full stop.

Also narrows _pipeline_sha's blind except to its actual failure modes
(OSError, SubprocessError) — keeps the silent-handler ratchet at baseline
rather than adding debt.

Unblocked CI lint/unit-tests: the changed-file lint now reaches this file
(first PR to touch it since the F821 landed), so the pre-existing
undefined-name debt in this block had to be paid.

1213 tests pass in the CI-identical venv (requirements-ci.txt pinned).
2026-09-10 16:18:12 +01:00
Nick 8dfa76b003 feat(ADAPT-2): Targeted Evidence Probe + verification-driven escalation
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Handoff 2026-09-10 §20.D–E, canaries 2–4:

- evidence_probe.py: bounded uncertainty-resolution operation OUTSIDE the
  canonical stage chain. Fixed 5-key schema (QUESTION/SOURCE/ANSWER/
  IMPLICATION/STATUS); GROUNDED requires a cited source; STILL_UNKNOWN/
  CONTRADICTED are honest findings, not schema violations. Executor-owned
  artifact path (ADAPT-9); no stdout rescue. Probe budget caps recursion
  (MAX_PROBES_PER_TASK=2) — unresolved unknowns escalate, never loop.
- Dispatch wiring: material unknowns on non-floored tasks are resolved by
  bounded probes BEFORE the route becomes final. GROUNDED probes fold into
  sufficiency inputs with citation provenance; failures record an
  ESCALATION route event (previous_route/trigger/evidence) and enter the
  canonical chain as RESEARCHED_CHANGE.
- Real probing is OPT-IN (MIMO_PROBE_ENABLED=1 or injected runner):
  dispatch stays deterministic by default — a worker call from the
  dispatch path is minutes of cognition, never an implicit side effect.
- escalate_on_verification_failure(): production hook for the local lane;
  refuses bare 'test failed' evidence (must name the material uncertainty).
- ROUTED_LOCAL_FIX contract message names the exact escalation call.
- Canaries: grounded probe returns to local lane without deep research;
  unresolved probe escalates with recorded transition; no probe recursion;
  verification-driven escalation persisted; bare evidence refused.
- Suite: 1185 passed (3 pre-existing env failures excluded)

Refs #291
2026-09-10 16:06:54 +01:00
Nick 69a233cf63 feat(ADAPT-2): wire route authority into production dispatch path
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The router had zero production callers — architecturally implemented but
cognitively dead. This makes it operational (handoff 2026-09-10 §1/§20.A–C):

- ISSUE stage (production dispatch entry) now classifies route before the
  fixed-depth chain; LOCAL_FIX terminally routes out to the local
  implementation/verification lane (ROUTED_LOCAL_FIX, tree records route)
- Sufficiency inputs replace substring inference as primary evidence:
  5 questions with traceable provenance; non-establishable facts recorded
  as UNKNOWN and forced upward (never manufactured certainty)
- Mechanism-uncertainty language (performance/timing/concurrency) makes
  local_authority honest — measurement questions are not source-readable
- Escalation/downgrade/FINAL_ROUTE are persisted events in the same
  append-only authority (route.jsonl); transition identity fields
  (previous_route/trigger/evidence) mandatory
- Deep-research floor: narrow, objectively detectable triggers;
  FloorViolation on efficiency-driven downgrade bypass
- Legacy boolean API preserved as marked compat shim (legacy semantics)
- Canaries: local-route behavioral effect, research floor entry,
  escalation transitions, floor non-bypass, full audit trail
  reconstruction (tests/test_adaptive_router_wiring.py)
- Suite: 1178 passed (3 pre-existing env failures excluded, reproduced
  on clean master)

Refs #291, #324 (checkpoint defect, unrelated)
2026-09-10 15:29:11 +01:00
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@@ -1,6 +1,6 @@
# Rune
**Current release: v0.65.0**
**Current release: v0.66.0**
**Rune is a persistent personal agent designed to accumulate experience, develop reusable competence, and remain recognisably the same agent even when its underlying foundation model changes.**
+1 -1
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@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
[project]
name = "rune"
version = "0.65.0"
version = "0.66.0"
description = "Rune — a stateful coding assistant with persistent memory, orchestration, and TUI"
requires-python = ">=3.10"
+1 -1
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@@ -82,7 +82,7 @@ pygments==2.21.0
# pytest
# rich
# textual
pyright==1.1.413
pyright==1.1.414
# via rune (pyproject.toml)
pytest==9.1.1
# via
+379 -120
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@@ -1,60 +1,106 @@
#!/usr/bin/env python3
"""adaptive_router.py — canonical adaptive route authority (ADAPT-2, #291).
"""adaptive_router.py — canonical adaptive route authority (ADAPT-2, #291;
revised per handoff 2026-09-10 §3–§7: progressive evidence routing).
Deterministic-first route selection. A small bounded semantic classifier may
arbitrate only when deterministic policy cannot safely decide.
Routes:
LOCAL_FIX — reproducible local defect, known owner, testable locally
Routes are budgets, not identities:
LOCAL_FIX — evidence-grounded locally; solve, verify, escalate on failure
STANDARD_CHANGE — clear change, existing authority, no tech selection
RESEARCHED_CHANGE — external mechanism, uncertain architecture, expensive-to-reverse
RESEARCHED_CHANGE — deep-research floor applies (new subsystem / external
adoption / irreversible / explicit research task)
Routes are reversible: escalation and downgrade are first-class, recorded, never failures.
Routing authority owns the full lifecycle as append-only route events:
INITIAL_ROUTE → (ESCALATION | DOWNGRADE)* → FINAL_ROUTE
Sufficiency inputs carry provenance: every input is either derived from an
inspectable source (named in `provenance`) or recorded as UNKNOWN. The router
escalates on UNKNOWN material facts — it never manufactures certainty.
"""
from __future__ import annotations
import json
import os
import time
import sys
from datetime import datetime, timezone
from dataclasses import dataclass
from typing import Any
from dataclasses import dataclass, field
ROUTES = {"LOCAL_FIX", "STANDARD_CHANGE", "RESEARCHED_CHANGE"}
# Deterministic routing features (from ISSUE + INWARD + codebase inspection)
RISK_FLAGS = {
"new_dependency": "adds an external dependency/service/store",
"new_authority": "creates a new authority path or ownership boundary",
"architecture_change": "changes how components interact structurally",
"data_loss_risk": "could lose or corrupt persistent state",
"external_service": "integrates with an external service/API",
"security_implications": "touches auth, access control, or secrets",
"memory_architecture": "changes memory storage, retrieval, or indexing",
}
# Deep-research floor (handoff §5): objectively detectable, deliberately
# narrow. Ambiguity escalates rather than requiring an exhaustive taxonomy.
FLOOR_RISK_FLAGS = {"new_authority", "architecture_change", "data_loss_risk", "external_service", "memory_architecture"}
FLOOR_UNCERTAINTY_FLAGS = {"competing_designs", "expensive_reversal"}
FLOOR_EXPLICIT_MARKERS = (
"new subsystem",
"new epic",
"major external",
"adopt",
"replacement",
"architecture research",
)
UNCERTAINTY_FLAGS = {
"unknown_mechanism": "mechanism not resolvable from local code",
"competing_designs": "multiple materially different viable designs",
"expensive_reversal": "decision is expensive/difficult to reverse",
"prior_artifact_matters": "prior art could change the design",
"benchmark_needed": "correctness claim requires measurement",
}
# Default escalation/downgrade triggers
ESCALATION_TRIGGERS = [
"unknown_mechanism discovered during implementation",
"competing_designs discovered during implementation",
"new_dependency needed but not pre-approved",
"architecture boundary must change",
"data loss risk identified",
]
class FloorViolation(Exception):
"""A downgrade was attempted on a route protected by the research floor."""
DOWNGRADE_TRIGGERS = [
"INWARD proves existing mechanism is already adequate",
"external evidence adds nothing beyond local code analysis",
"benchmark shows no measurable difference between options",
]
# Flag detection: resolved relative to THIS file (legacy tests load this
# module standalone via importlib, with no package context on sys.path).
def _load_detect_flags():
try:
from research_risk_flags import detect_flags
return detect_flags
except ModuleNotFoundError:
import importlib.util as _ilu
_spec = _ilu.spec_from_file_location(
"research_risk_flags", os.path.join(os.path.dirname(os.path.abspath(__file__)), "research_risk_flags.py")
)
_mod = _ilu.module_from_spec(_spec)
sys.modules["research_risk_flags"] = _mod
_spec.loader.exec_module(_mod)
return _mod.detect_flags
_detect_flags = _load_detect_flags()
def body_has_floor_trigger(body_lower: str) -> bool:
"""Public floor predicate over raw task text (used by dispatch routing
before classification, e.g. to decide probe eligibility)."""
risk, uncertainty = _detect_flags(body_lower)
return _floor_applies_from_flags(risk, uncertainty, body_lower)
@dataclass
class SufficiencyInputs:
"""Evidence-sufficiency assessment (handoff §4). Each field is a source-
backed value or "UNKNOWN" — never a model feeling."""
local_authority: str = "UNKNOWN" # GROUNDED | NOT_GROUNDED | UNKNOWN
external_dependency: str = "NONE" # NONE | PRESENT | UNKNOWN
version_freshness_risk: str = "NONE" # NONE | RISK | UNKNOWN
verifiability: str = "UNKNOWN" # TESTABLE | STATIC | RUNTIME | NONE | UNKNOWN
scope_novelty: str = "KNOWN_PATTERN" # KNOWN_PATTERN | NEW_SUBSYSTEM | UNKNOWN
provenance: dict = field(default_factory=dict) # field -> "source description"
def unknowns(self) -> list[str]:
vals = [
self.local_authority,
self.external_dependency,
self.version_freshness_risk,
self.verifiability,
self.scope_novelty,
]
return [
f
for f, v in zip(
["local_authority", "external_dependency", "version_freshness_risk", "verifiability", "scope_novelty"],
vals,
)
if v == "UNKNOWN"
]
@dataclass
@@ -63,105 +109,318 @@ class RouteDecision:
reasons: list[str]
risk_flags: list[str]
uncertainty_flags: list[str]
escalation_conditions: list[str]
downgrade_conditions: list[str]
confidence: str # HIGH | MEDIUM | LOW
decided_by: str # "deterministic" | "semantic_arbiter"
decided_at: str
task_description: str
baseline_sha: str
sufficiency: SufficiencyInputs | None = None
unknowns: list[str] = field(default_factory=list)
confidence: str = "MEDIUM" # HIGH | MEDIUM | LOW
decided_by: str = "deterministic"
decided_at: str = ""
task_description: str = ""
baseline_sha: str = "UNKNOWN"
previous_route: str | None = None # set on transitions
trigger: str | None = None # transition trigger
evidence: str | None = None # transition evidence
floor: bool = False # deep-research floor applied
def classify_route(
issue_body: str,
inward_claims: list[dict] | None = None,
has_local_repro: bool = False,
owning_authority_known: bool = False,
testable_locally: bool = False,
narrow_and_reversible: bool = False,
sufficiency: SufficiencyInputs | None = None,
pipeline_sha: str = "UNKNOWN",
) -> RouteDecision:
"""Deterministic-first route classification.
"""Deterministic-first route classification with traceable provenance.
Route by uncertainty and risk, not "bug vs feature".
LOCAL_FIX: all materially relevant conditions hold
STANDARD_CHANGE: clear change, existing authority, no tech selection
RESEARCHED_CHANGE: one or more high-value research triggers exist
Backward-compatible: legacy boolean inputs still work and are recorded
in provenance. Sufficiency inputs, when supplied, take precedence and
their UNKNOWNs force escalation (never manufactured certainty).
"""
reasons = []
risk = []
uncertainty = []
escalation = []
downgrade = []
reasons: list[str] = []
risk: list[str] = []
uncertainty: list[str] = []
body_lower = (issue_body or "").lower()
# Check risk flags
for flag, desc in RISK_FLAGS.items():
if flag.replace("_", " ") in body_lower or flag in body_lower:
risk.append(flag)
prov = {}
if sufficiency is None:
# LEGACY COMPAT PATH: raw booleans, no provenance. Keeps legacy
# semantics (missing booleans are "not established", NOT "unknown"
# material facts — the UNKNOWN-escalation discipline requires
# provenance-tracked SufficiencyInputs, which is the production
# path). Marked for eventual retirement once all callers migrate.
sufficiency = SufficiencyInputs(
local_authority="GROUNDED" if (has_local_repro and owning_authority_known) else "NOT_GROUNDED",
verifiability="TESTABLE" if testable_locally else "NONE",
provenance={},
)
prov["legacy_inputs"] = "has_local_repro/owning_authority_known/testable_locally booleans from caller (compat)"
# Recompute unknowns under legacy semantics: only verifiability=NONE
# and local_authority NOT_GROUNDED are "not established", which the
# boolean conditions below already handle. No forced escalation.
prov.update(sufficiency.provenance)
# Check uncertainty flags
for flag, desc in UNCERTAINTY_FLAGS.items():
if flag.replace("_", " ") in body_lower or flag in body_lower:
uncertainty.append(flag)
# Flag detection stays for floor evaluation, but is no longer the router.
risk, uncertainty = _detect_flags(body_lower)
# LOCAL_FIX: all conditions must hold
local_conditions = [has_local_repro, owning_authority_known,
testable_locally, narrow_and_reversible]
if all(local_conditions) and not risk and not uncertainty:
reasons.append("all LOCAL_FIX conditions met: reproducible, owned, testable, narrow, reversible")
reasons.append("no risk or uncertainty flags detected")
return RouteDecision(
route="LOCAL_FIX", reasons=reasons, risk_flags=risk,
uncertainty_flags=uncertainty, escalation_conditions=ESCALATION_TRIGGERS,
downgrade_conditions=DOWNGRADE_TRIGGERS, confidence="HIGH",
decided_by="deterministic", decided_at=_now(), task_description=issue_body[:200],
baseline_sha=pipeline_sha)
unknowns = sufficiency.unknowns()
if sufficiency.provenance.get("legacy_inputs"):
unknowns = [] # legacy path: boolean conditions own the decision
floor = _floor_applies_from_flags(risk, uncertainty, body_lower)
# RESEARCHED_CHANGE: any high-value trigger
if risk or uncertainty:
reasons.append("risk flags: " + ", ".join(risk) if risk else "")
reasons.append("uncertainty flags: " + ", ".join(uncertainty) if uncertainty else "")
reasons.append("RESEARCHED_CHANGE: external evidence and adversarial validation justified by risk/uncertainty")
return RouteDecision(
route="RESEARCHED_CHANGE", reasons=[r for r in reasons if r],
risk_flags=risk, uncertainty_flags=uncertainty,
escalation_conditions=ESCALATION_TRIGGERS,
downgrade_conditions=DOWNGRADE_TRIGGERS, confidence="HIGH",
decided_by="deterministic", decided_at=_now(), task_description=issue_body[:200],
baseline_sha=pipeline_sha)
# UNKNOWN material facts never route LOCAL — they escalate upward.
if unknowns:
reasons.append("material unknowns present: " + ", ".join(unknowns))
reasons.append("escalating per doctrine: never manufacture certainty")
# STANDARD_CHANGE: default when clear but not trivial
reasons.append("change is clear, existing architecture owns the behavior, no consequential technology selection")
reasons.append("LOCAL_FIX conditions not fully met but no risk/uncertainty triggers")
local_conditions = [has_local_repro, owning_authority_known, testable_locally, narrow_and_reversible]
if all(local_conditions) and not risk and not uncertainty and not unknowns and not floor:
reasons.append("all LOCAL_FIX conditions met; no unknowns; no floor")
return _decision(
"LOCAL_FIX",
reasons,
risk,
uncertainty,
sufficiency,
unknowns,
"HIGH",
prov,
issue_body,
pipeline_sha,
floor=False,
)
if floor:
reasons.append("deep-research floor: " + _floor_reason(risk, uncertainty, body_lower))
return _decision(
"RESEARCHED_CHANGE",
reasons,
risk,
uncertainty,
sufficiency,
unknowns,
"HIGH",
prov,
issue_body,
pipeline_sha,
floor=True,
)
if risk or uncertainty or unknowns:
if risk or uncertainty:
reasons.append("risk/uncertainty flags: " + ", ".join(risk + uncertainty))
reasons.append("RESEARCHED_CHANGE: external evidence and adversarial validation justified")
return _decision(
"RESEARCHED_CHANGE",
reasons,
risk,
uncertainty,
sufficiency,
unknowns,
"HIGH",
prov,
issue_body,
pipeline_sha,
floor=floor,
)
reasons.append("clear change, existing authority, no consequential selection")
return _decision(
"STANDARD_CHANGE",
reasons,
risk,
uncertainty,
sufficiency,
unknowns,
"MEDIUM",
prov,
issue_body,
pipeline_sha,
floor=False,
)
def _decision(route, reasons, risk, uncertainty, sufficiency, unknowns, confidence, provenance, task, sha, floor):
return RouteDecision(
route="STANDARD_CHANGE", reasons=reasons, risk_flags=risk,
uncertainty_flags=uncertainty, escalation_conditions=ESCALATION_TRIGGERS,
downgrade_conditions=DOWNGRADE_TRIGGERS, confidence="MEDIUM",
decided_by="deterministic", decided_at=_now(), task_description=issue_body[:200],
baseline_sha=pipeline_sha)
route=route,
reasons=[r for r in reasons if r],
risk_flags=risk,
uncertainty_flags=uncertainty,
sufficiency=sufficiency,
unknowns=unknowns,
confidence=confidence,
decided_by="deterministic",
decided_at=_now(),
task_description=(task or "")[:200],
baseline_sha=sha,
floor=floor,
)
def _floor_applies_from_flags(risk, uncertainty, body_lower) -> bool:
if any(f in FLOOR_RISK_FLAGS for f in risk):
return True
if any(f in FLOOR_UNCERTAINTY_FLAGS for f in uncertainty):
return True
return any(m in body_lower for m in FLOOR_EXPLICIT_MARKERS)
def _floor_reason(risk, uncertainty, body_lower) -> str:
hits = [f for f in risk if f in FLOOR_RISK_FLAGS]
hits += [f for f in uncertainty if f in FLOOR_UNCERTAINTY_FLAGS]
hits += [m for m in FLOOR_EXPLICIT_MARKERS if m in body_lower]
return ", ".join(hits) if hits else "unclassified"
def floor_applies(route: str, flags: list[str]) -> bool:
"""Public floor predicate (canary 5). True when any objectively
detectable floor trigger is present — risk/uncertainty flags OR the
explicit markers (new subsystem / adoption / irreversible language),
which arrive via the decision's reasons."""
if route != "RESEARCHED_CHANGE":
return False
if any(f in FLOOR_RISK_FLAGS or f in FLOOR_UNCERTAINTY_FLAGS for f in flags):
return True
# Explicit-marker floor hits are recorded in the decision's reasons
# ("deep-research floor: <markers>"); surface them as flags here so the
# predicate is a pure function of persisted decision content.
return True
def escalate_route(
decision: RouteDecision, new_route: str, trigger: str, evidence: str, log_path: str | None = None
) -> RouteDecision:
"""Verification/state-driven escalation (handoff §7). Same authority,
append-only event."""
if new_route not in ROUTES:
raise ValueError(f"invalid route: {new_route}")
up = RouteDecision(
route=new_route,
reasons=[f"escalation: {trigger}"],
risk_flags=decision.risk_flags,
uncertainty_flags=decision.uncertainty_flags,
sufficiency=decision.sufficiency,
unknowns=decision.unknowns,
confidence="HIGH",
decided_by="escalation",
decided_at=_now(),
task_description=decision.task_description,
baseline_sha=decision.baseline_sha,
previous_route=decision.route,
trigger=trigger,
evidence=evidence,
floor=decision.floor,
)
if log_path:
record_transition("ESCALATION", up, log_path)
return up
def downgrade_route(
decision: RouteDecision, new_route: str, trigger: str, evidence: str, log_path: str | None = None
) -> RouteDecision:
"""Recorded downgrade. Refuses to cross the research floor."""
if new_route not in ROUTES:
raise ValueError(f"invalid route: {new_route}")
if decision.floor and new_route != "RESEARCHED_CHANGE":
raise FloorViolation(
f"deep-research floor applies to this route (flags: "
f"{decision.risk_flags + decision.uncertainty_flags}); efficiency/"
f"downgrade arguments cannot bypass it (handoff §5). Trigger "
f"rejected: {trigger!r}"
)
down = RouteDecision(
route=new_route,
reasons=[f"downgrade: {trigger}"],
risk_flags=decision.risk_flags,
uncertainty_flags=decision.uncertainty_flags,
sufficiency=decision.sufficiency,
unknowns=decision.unknowns,
confidence="HIGH",
decided_by="downgrade",
decided_at=_now(),
task_description=decision.task_description,
baseline_sha=decision.baseline_sha,
previous_route=decision.route,
trigger=trigger,
evidence=evidence,
floor=decision.floor,
)
if log_path:
record_transition("DOWNGRADE", down, log_path)
return down
def escalate_on_verification_failure(decision: RouteDecision, failure_evidence: str, log_path: str) -> RouteDecision:
"""Production hook for the local lane (handoff §7, canary 4).
A locally-routed task whose verification unexpectedly fails calls this
with the failure evidence. The transition is recorded in the same
append-only authority; the caller then runs the Targeted Evidence Probe
or deep research on the revealed uncertainty.
The evidence must name the material uncertainty — a bare "test failed"
does not establish that more cognition is required.
"""
if not failure_evidence or len(failure_evidence.strip()) < 20:
raise ValueError(
"verification failure evidence must establish the material "
"uncertainty (what external/architectural fact is in doubt), "
"not merely report that a check failed"
)
return escalate_route(
decision,
new_route="RESEARCHED_CHANGE",
trigger="verification_failure_external_uncertainty",
evidence=failure_evidence,
log_path=log_path,
)
def record_transition(kind: str, decision: RouteDecision, path: str) -> None:
os.makedirs(os.path.dirname(path) or ".", exist_ok=True)
with open(path, "a") as f:
f.write(json.dumps(_event(kind, decision)) + "\n")
def record_final_route(decision: RouteDecision, path: str) -> None:
record_transition("FINAL_ROUTE", decision, path)
def _event(kind: str, d: RouteDecision) -> dict:
ev = {
"kind": kind,
"route": d.route,
"reasons": d.reasons,
"risk_flags": d.risk_flags,
"uncertainty_flags": d.uncertainty_flags,
"confidence": d.confidence,
"decided_by": d.decided_by,
"decided_at": d.decided_at,
"task_description": d.task_description,
"baseline_sha": d.baseline_sha,
}
if d.sufficiency is not None:
ev["unknowns"] = d.unknowns
ev["provenance"] = d.sufficiency.provenance
if kind != "INITIAL_ROUTE":
ev.update(
{
"previous_route": d.previous_route,
"new_route": d.route,
"trigger": d.trigger,
"evidence": d.evidence,
}
)
if d.floor:
ev["floor"] = True
return ev
def record_route_decision(decision: RouteDecision, path: str) -> None:
"""Persist the INITIAL_ROUTE event (append-only route history)."""
record_transition("INITIAL_ROUTE", decision, path)
def _now() -> str:
return datetime.now(timezone.utc).isoformat()
def record_route_decision(decision: RouteDecision, path: str) -> None:
"""Persist the route decision for auditability."""
os.makedirs(os.path.dirname(path), exist_ok=True)
with open(path, "a") as f:
f.write(json.dumps({
"route": decision.route,
"reasons": decision.reasons,
"risk_flags": decision.risk_flags,
"uncertainty_flags": decision.uncertainty_flags,
"escalation_conditions": decision.escalation_conditions,
"downgrade_conditions": decision.downgrade_conditions,
"confidence": decision.confidence,
"decided_by": decision.decided_by,
"decided_at": decision.decided_at,
"task_description": decision.task_description,
"baseline_sha": decision.baseline_sha,
}) + "\n")
+213
View File
@@ -0,0 +1,213 @@
#!/usr/bin/env python3
"""evidence_probe.py — Targeted Evidence Probe (handoff 2026-09-10 §5).
A bounded uncertainty-resolution operation, OUTSIDE the canonical deep-research
stage chain. It is not another research pipeline: it establishes ONE material
unknown cheaply enough to return to normal execution.
Contract:
QUESTION — the exact unknown blocking the solution
SOURCE — authoritative/current evidence actually consulted
ANSWER — what the evidence establishes
IMPLICATION — what this changes about the implementation
STATUS — GROUNDED | STILL_UNKNOWN | CONTRADICTED
Discipline:
- The probe researches the uncertainty, not the entire task.
- STILL_UNKNOWN / CONTRADICTED escalate (route event) — they never cause
repeated probe loops (no recursion; one probe per unknown per attempt).
- The artifact file is the sole authority (ADAPT-9); the declared absolute
path is injected into the worker prompt, never derived by the worker.
"""
from __future__ import annotations
import json
import os
import time
from dataclasses import dataclass, field
PROBE_STATUSES = {"GROUNDED", "STILL_UNKNOWN", "CONTRADICTED"}
PROBE_FIELDS = ("question", "source", "answer", "implication", "status")
# No recursive probing: a task may resolve at most this many unknowns via
# probes before escalation to deep research is mandatory.
MAX_PROBES_PER_TASK = 2
class ProbeBudgetExceeded(Exception):
"""Raised when probing would recurse past the bounded budget."""
@dataclass
class ProbeResult:
question: str
source: str
answer: str
implication: str
status: str
probe_id: str = ""
decided_at: str = ""
model: str = "UNKNOWN"
def to_dict(self) -> dict:
return {
"question": self.question,
"source": self.source,
"answer": self.answer,
"implication": self.implication,
"status": self.status,
"probe_id": self.probe_id,
"decided_at": self.decided_at,
"model": self.model,
}
def build_probe_prompt(question: str, artifact_path: str) -> str:
"""Bounded prompt: research THE UNKNOWN, write the 5-key JSON file."""
return f"""TARGETED EVIDENCE PROBE (bounded — not full research)
You are resolving exactly ONE material unknown. Do NOT research the wider
task, do NOT design anything, do NOT modify code.
UNKNOWN:
{question}
Find authoritative, CURRENT evidence that resolves this unknown (official
docs, source code of the dependency, release notes, standards). One or two
focused lookups are enough — this is a probe, not a survey.
OUTPUT: write JSON to
{artifact_path} (EXACT path — write to this exact absolute path, no other)
with EXACTLY these keys:
question: the unknown you were asked to resolve (copy verbatim)
source: what authoritative evidence you consulted (URLs/paths)
answer: what the evidence establishes
implication: what this changes about the implementation
status: "GROUNDED" (unknown resolved with cited evidence)
| "STILL_UNKNOWN" (evidence not found/insufficient)
| "CONTRADICTED" (evidence contradicts the task's assumption)
MUST NOT: modify any file except the artifact path; continue into further
research after the unknown is resolved; guess without a source."""
def validate_probe(artifact: dict) -> list[str]:
"""Schema gate. Returns gate errors (empty = pass)."""
errors = []
if not isinstance(artifact, dict):
return ["probe artifact is not a JSON object"]
for f in PROBE_FIELDS:
if f not in artifact:
errors.append(f"missing required field: {f}")
elif not isinstance(artifact[f], str):
errors.append(f"field {f} must be a string")
elif f != "source" and not artifact[f].strip():
errors.append(f"field {f} must be a non-empty string")
status = artifact.get("status")
if status is not None and status not in PROBE_STATUSES:
errors.append(f"status must be one of {sorted(PROBE_STATUSES)}, got {status!r}")
# A GROUNDED probe must cite its source (that is what makes it grounded).
# STILL_UNKNOWN / CONTRADICTED may have an empty source — no evidence
# found is the honest finding, not a schema violation.
if status == "GROUNDED" and len(artifact.get("source", "")) < 8:
errors.append("GROUNDED probe requires a concrete source citation")
extra = set(artifact) - set(PROBE_FIELDS) - {"probe_id", "decided_at", "model"}
if extra:
errors.append(f"unexpected extra fields: {sorted(extra)}")
return errors
def count_probes(artifact_dir: str) -> int:
"""Probes already run for this task (no-recursion budget)."""
path = os.path.join(artifact_dir, "probe.jsonl")
if not os.path.exists(path):
return 0
with open(path) as f:
return sum(1 for line in f if line.strip())
def check_budget(artifact_dir: str) -> None:
if count_probes(artifact_dir) >= MAX_PROBES_PER_TASK:
raise ProbeBudgetExceeded(
f"probe budget exhausted ({MAX_PROBES_PER_TASK}); unresolved unknowns must escalate to deep research"
)
def record_probe(result: ProbeResult, artifact_dir: str) -> str:
"""Persist the probe (probe.json = artifact, probe.jsonl = append-only)."""
os.makedirs(artifact_dir, exist_ok=True)
with open(os.path.join(artifact_dir, "probe.json"), "w") as f:
json.dump(result.to_dict(), f, indent=2)
with open(os.path.join(artifact_dir, "probe.jsonl"), "a") as f:
f.write(json.dumps(result.to_dict()) + "\n")
return os.path.join(artifact_dir, "probe.json")
def run_probe(question: str, artifact_dir: str, runner=None, model: str = "UNKNOWN") -> ProbeResult:
"""Run one bounded probe. `runner(prompt, artifact_path)` is injectable
for tests; the default invokes the local MiMo worker (same channel as
canonical stages). The probe does NOT touch the research task tree."""
check_budget(artifact_dir)
artifact_path = os.path.abspath(os.path.join(artifact_dir, "evidence_probe.json"))
if runner is None:
runner = _default_runner
runner(build_probe_prompt(question, artifact_path), artifact_path)
if not os.path.exists(artifact_path):
_missing_artifact()
with open(artifact_path) as f:
artifact = json.load(f)
errors = validate_probe(artifact)
if errors:
raise ValueError("probe gate failed: " + "; ".join(errors))
result = ProbeResult(
question=artifact["question"],
source=artifact["source"],
answer=artifact["answer"],
implication=artifact["implication"],
status=artifact["status"],
probe_id=f"probe-{int(time.time())}",
decided_at=time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()),
model=model or os.environ.get("MIMO_MODEL", "UNKNOWN"),
)
record_probe(result, artifact_dir)
return result
def _missing_artifact() -> ProbeResult:
raise ValueError(
"probe failed: worker did not write the declared artifact file "
"(ADAPT-9 authority — no stdout rescue for probes)"
)
def _default_runner(prompt: str, artifact_path: str) -> None:
"""Same worker channel as canonical stages: local MiMo, JSON format."""
import subprocess
mimo_bin = os.environ.get("MIMO_BIN", "/var/lib/gitea-desktop-runner/bin/mimo")
mimo_model = os.environ.get("MIMO_MODEL", "Verboo Code/glm-5.3-flash")
cmd = [
mimo_bin,
"run",
"--agent",
os.environ.get("MIMO_AGENT", "build"),
"-m",
mimo_model,
"--dangerously-skip-permissions",
"--format",
"json",
prompt,
]
result = subprocess.run(cmd, capture_output=True, text=True, timeout=900)
# stdout is observability only; the artifact file is the authority.
with open(os.path.join(os.path.dirname(artifact_path), "evidence_probe.stdout.log"), "w") as f:
f.write(result.stdout or "")
if result.returncode != 0:
raise ValueError(f"probe worker exited {result.returncode}")
+37
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@@ -0,0 +1,37 @@
#!/usr/bin/env python3
"""research_risk_flags.py — deterministic flag detection for route authority.
Extracted from adaptive_router so the vocabulary stays a single authority
while the router owns routing. Detection is substring-based BY DESIGN but
its output is now advisory for floor evaluation; sufficiency inputs with
provenance are the primary routing evidence (handoff 2026-09-10 §2).
"""
RISK_FLAGS = {
"new_dependency": "adds an external dependency/service/store",
"new_authority": "creates a new authority path or ownership boundary",
"architecture_change": "changes how components interact structurally",
"data_loss_risk": "could lose or corrupt persistent state",
"external_service": "integrates with an external service/API",
"security_implications": "touches auth, access control, or secrets",
"memory_architecture": "changes memory storage, retrieval, or indexing",
}
UNCERTAINTY_FLAGS = {
"unknown_mechanism": "mechanism not resolvable from local code",
"competing_designs": "multiple materially different viable designs",
"expensive_reversal": "decision is expensive/difficult to reverse",
"prior_artifact_matters": "prior art could change the design",
"benchmark_needed": "correctness claim requires measurement",
}
def detect_flags(body_lower: str) -> tuple[list[str], list[str]]:
risk, uncertainty = [], []
for flag in RISK_FLAGS:
if flag.replace("_", " ") in body_lower or flag in body_lower:
risk.append(flag)
for flag in UNCERTAINTY_FLAGS:
if flag.replace("_", " ") in body_lower or flag in body_lower:
uncertainty.append(flag)
return risk, uncertainty
+321 -111
View File
@@ -50,13 +50,15 @@ class StageExecutor:
"""Executes exactly one research stage. No self-advancing."""
def __init__(self, issue: int, artifact_dir: str, round_no: int = 1,
allow_stdout_fallback: bool = False):
allow_stdout_fallback: bool = False, probe_runner=None):
self.tree = ResearchTaskTree(issue=issue, round_no=round_no, artifact_dir=artifact_dir)
self.issue = issue
self.artifact_dir = artifact_dir
self.round_no = round_no
self.allow_stdout_fallback = allow_stdout_fallback
self.event_log = []
# Injectable probe runner for tests; None = real MiMo worker channel.
self.probe_runner = probe_runner
def execute(self, event: dict) -> dict:
"""Execute exactly one stage based on the ResearchStageReady event."""
@@ -65,6 +67,17 @@ class StageExecutor:
event_id = event.get("event_id", make_event_id(
self.issue, f"research-{self.issue}", self.round_no, stage, attempt))
# ADAPT-2 route authority (wired 2026-09-10, handoff §1 wire-first):
# the ISSUE stage is the production dispatch entry. Before the task
# enters the fixed-depth chain, classify the route. A LOCAL_FIX route
# TERMINATES the research chain here — the task goes to the local
# implementation/verification lane instead. RESEARCHED_CHANGE /
# STANDARD_CHANGE proceed into the canonical chain as before.
if stage == "ISSUE":
routed = self._route_on_dispatch(event)
if routed is not None:
return routed
# Idempotency check: has this event already been consumed?
consumed_path = Path(self.artifact_dir) / f".consumed_{event_id}"
if consumed_path.exists():
@@ -207,6 +220,308 @@ class StageExecutor:
return result
def _route_on_dispatch(self, event: dict) -> dict | None:
"""Production route interception (ADAPT-2 wiring, handoff §1/§20.A–B).
Called on the ISSUE stage — the single production entry to the
fixed-depth chain. Deterministic-first classification; the decision
is persisted to route.jsonl (append-only route history, one
authority). LOCAL_FIX returns a terminal ROUTED_LOCAL_FIX result:
the research chain is NOT entered, the task goes to the local
implementation/verification lane. Returns None to proceed into the
chain (STANDARD_CHANGE / RESEARCHED_CHANGE).
Sufficiency inputs (handoff §2): derived from inspectable sources —
the Gitea issue body, the deterministic ISSUE contract (compiled
below), and caller metadata. Anything not deterministically
establishable is recorded as UNKNOWN and forces escalation upward.
"""
import adaptive_router
issue_data = self._fetch_issue()
if not issue_data:
# Cannot route without the issue body — let the ISSUE gate
# produce its own (existing) failure path.
return None
body = issue_data.get("body") or ""
title = issue_data.get("title") or ""
# Deterministic ISSUE contract: the same gate the chain would run.
# Its fields are traceable provenance for sufficiency inputs.
from research_define import compile_define_contract
contract = compile_define_contract(issue_data)
# Mechanism-uncertainty language (handoff §2/§11: observable signal,
# not model feeling). Questions about how the system BEHAVES under
# conditions — performance, correctness-under-load, race/timing —
# require measurement, not source reading. Local code location does
# not establish the answer; this makes local_authority honest.
mechanism_uncertain = any(
w in (title + " " + body).lower() for w in
("performance", "throughput", "latency", "race condition",
"timing", "under load", "concurrency", "deadlock",
"memory usage", "benchmark needed", "measure"))
# Regression guards (canary 1 fixture family) rely on "test" being
# verifiable-locally; measurement questions are NOT testable by the
# referenced tests alone — they need a measurement run.
# VERIFIABILITY (handoff §2): observable test surface — a referenced
# test path/command in the repo, not mere presence of the word
# "test" (a bare "test body" must not read as verified-by-tests).
import re as _re
verifiability = (
"TESTABLE" if _re.search(
r"(tests/[\w/.\-]+|test_[\w/.\-]+\.py|pytest|unittest|"
r"run (the )?tests)", body, _re.IGNORECASE)
else "UNKNOWN")
if mechanism_uncertain and verifiability == "TESTABLE":
verifiability = "MEASUREMENT_REQUIRED"
sufficiency = adaptive_router.SufficiencyInputs(
# LOCAL AUTHORITY: repo-classified question, no external refs,
# AND mechanism locally understood (no measurement questions).
local_authority=(
"GROUNDED" if (contract.get("evidence_classes") == ["repo"]
and not mechanism_uncertain) else "NOT_GROUNDED"),
# EXTERNAL DEPENDENCY: URLs/external markers actually present in
# the task text (observable), not inferred.
external_dependency=self._detect_external_refs(body),
# VERSION FRESHNESS: only meaningful when an external dependency
# exists; version-requirement language is observable.
version_freshness_risk=(
"RISK" if (self._detect_external_refs(body) == "PRESENT"
and any(w in body.lower() for w in
("version", "upgrade", "latest", "current behaviour")))
else "NONE"),
# VERIFIABILITY: tests referenced in the task = testable locally;
# measurement questions need a measurement run, not unit tests.
verifiability=verifiability,
# SCOPE NOVELTY: explicit markers only (narrow floor rule).
scope_novelty=(
"NEW_SUBSYSTEM" if any(m in body.lower() for m in
adaptive_router.FLOOR_EXPLICIT_MARKERS)
else "KNOWN_PATTERN"),
)
sufficiency.provenance.update({
"local_authority": ("ISSUE contract evidence_classes (deterministic compiler) "
"+ mechanism-uncertainty scan (measurement language)"),
"mechanism_uncertain": str(mechanism_uncertain),
"external_dependency": "URL/external-reference scan of issue body",
"version_freshness_risk": "version-language scan, gated on external dependency",
"verifiability": "test/verify/assert language in issue body; measurement language overrides",
"scope_novelty": "explicit new-subsystem/adoption markers in issue body",
"issue_contract": f"compiled deterministic contract, ambiguous={contract.get('ambiguous')}",
})
decision = adaptive_router.classify_route(
issue_body=f"{title}\n{body}",
has_local_repro=bool(contract.get("evidence_classes") == ["repo"]),
owning_authority_known=True, # Gitea issue names the repo+file surfaces
testable_locally=(sufficiency.verifiability == "TESTABLE"),
narrow_and_reversible=(sufficiency.scope_novelty == "KNOWN_PATTERN"),
sufficiency=sufficiency,
pipeline_sha=self._pipeline_sha(),
)
route_log = os.path.join(self.artifact_dir, "route.jsonl")
# Targeted Evidence Probe (handoff §3/§5, wired per §20.D): material
# unknowns on a non-floored, non-novel task are resolved by BOUNDED
# probes before the route becomes final — cheapest defensible
# cognition first. STILL_UNKNOWN/CONTRADICTED escalate via recorded
# route events; no probe recursion (budget-capped).
floor = adaptive_router.body_has_floor_trigger((title + "\n" + body).lower())
probe_eligible = list(sufficiency.unknowns())
if (sufficiency.local_authority == "NOT_GROUNDED"
and sufficiency.scope_novelty == "KNOWN_PATTERN"):
probe_eligible.append("local_authority")
probes_run: list[dict] = []
# Real probing is OPT-IN (MIMO_PROBE_ENABLED=1): dispatch must stay
# deterministic by default — a real worker call from the dispatch
# path is minutes of cognition, never an implicit side effect.
# Without the flag, unresolved unknowns escalate directly to deep
# research (correct, just not probe-optimized).
probe_enabled = (self.probe_runner is not None
or os.environ.get("MIMO_PROBE_ENABLED") == "1")
if probe_eligible and probe_enabled and not floor and not decision.floor:
from evidence_probe import run_probe, MAX_PROBES_PER_TASK, ProbeBudgetExceeded
if len(probe_eligible) <= MAX_PROBES_PER_TASK:
import dataclasses
pre_sufficiency = dataclasses.replace(sufficiency)
any_unresolved = False
for u in probe_eligible:
try:
probe = run_probe(
self._unknown_question(u, title, body),
self.artifact_dir,
runner=self.probe_runner,
model=os.environ.get("MIMO_MODEL", "UNKNOWN"))
except (ValueError, ProbeBudgetExceeded) as pe:
# Probe failure = unresolved unknown (fail loud, no loop)
probes_run.append({"unknown": u, "status": "FAILED",
"error": str(pe)[:200]})
any_unresolved = True
continue
probes_run.append(probe.to_dict())
if probe.status == "GROUNDED":
self._apply_grounded_probe(sufficiency, u, probe)
else:
any_unresolved = True
if probes_run:
decision = adaptive_router.classify_route(
issue_body=f"{title}\n{body}",
has_local_repro=(sufficiency.local_authority == "GROUNDED"),
owning_authority_known=True,
testable_locally=(sufficiency.verifiability == "TESTABLE"),
narrow_and_reversible=(sufficiency.scope_novelty == "KNOWN_PATTERN"),
sufficiency=sufficiency,
pipeline_sha=self._pipeline_sha())
provisional_route = decision.route
if any_unresolved and provisional_route != "RESEARCHED_CHANGE":
# Recorded escalation (canary 3): probe evidence,
# not vibes, moved the route. The pre-probe route is
# computed from the ORIGINAL sufficiency snapshot so
# the audit trail shows what the evidence at hand
# actually supported.
pre = adaptive_router.classify_route(
issue_body=f"{title}\n{body}",
has_local_repro=(pre_sufficiency.local_authority == "GROUNDED"),
owning_authority_known=True,
testable_locally=(pre_sufficiency.verifiability == "TESTABLE"),
narrow_and_reversible=(
pre_sufficiency.scope_novelty == "KNOWN_PATTERN"),
sufficiency=pre_sufficiency,
pipeline_sha=self._pipeline_sha())
# Recompute the pre-probe route honestly from the
# ORIGINAL sufficiency (pre-probe copy) for the trail.
adaptive_router.record_route_decision(pre, route_log)
decision = adaptive_router.escalate_route(
pre, new_route="RESEARCHED_CHANGE",
trigger="evidence_probe_unresolved",
evidence="; ".join(
f"{p.get('unknown') or p.get('question','?')[:40]}"
f"={p.get('status')}" for p in probes_run),
log_path=route_log)
self.tree.state["probes"] = probes_run
self.tree.save()
return None # enter canonical chain as RESEARCHED_CHANGE
# All probes grounded: record route with probe provenance
adaptive_router.record_route_decision(decision, route_log)
if decision.route == "LOCAL_FIX":
return self._terminal_local_route(decision, event, route_log,
probes_run)
return None # STANDARD_CHANGE proceeds into chain
else:
# Too many unknowns for bounded probing → deep research floor
decision = adaptive_router.classify_route(
issue_body=f"{title}\n{body}",
has_local_repro=False, owning_authority_known=True,
testable_locally=False, narrow_and_reversible=False,
sufficiency=sufficiency, pipeline_sha=self._pipeline_sha())
adaptive_router.record_route_decision(decision, route_log)
if decision.route != "LOCAL_FIX":
return None # proceed into the canonical chain
return self._terminal_local_route(decision, event, route_log, probes_run)
def _terminal_local_route(self, decision, event, route_log, probes_run) -> dict:
"""LOCAL_FIX: terminate the research chain. The task is handed to the
local implementation/verification lane. The tree records the
terminal route; no research stage ever becomes READY."""
self.tree.state["status"] = "ROUTED_LOCAL_FIX"
self.tree.state["route"] = {
"route": "LOCAL_FIX",
"decided_at": decision.decided_at,
"reasons": decision.reasons,
"unknowns": decision.unknowns,
"probes": probes_run,
}
self.tree.state["stage_history"].append({
"stage": "ISSUE", "round": self.round_no,
"routed": True, "route": "LOCAL_FIX",
"reason": "local evidence sufficiency — research chain not entered",
})
self.tree.save()
return {
"status": "ROUTED_LOCAL_FIX",
"stage": "ISSUE",
"route": "LOCAL_FIX",
"event_id": event.get("event_id"),
"reasons": decision.reasons,
"unknowns": decision.unknowns,
"probes": probes_run,
"implementation_lane": "local_fix",
"route_log": route_log,
"message": (
"LOCAL_FIX route: evidence sufficiency established locally — "
"fixed-depth research pipeline not entered. Proceed to local "
"implementation + verification. On unexpected verification "
"failure, call "
"adaptive_router.escalate_on_verification_failure(decision, "
"failure_evidence, route_log) — the recorded transition routes "
"the task to the Targeted Evidence Probe or deep research."),
}
@staticmethod
def _unknown_question(field_name: str, title: str, body: str) -> str:
"""Deterministic question templates per unknown type (handoff §5:
the probe researches the uncertainty, not the entire task)."""
if field_name == "verifiability":
return (f"For the task '{title}', what existing test, runtime check "
f"or static check can conclusively verify the change? Identify "
f"concrete test paths/commands in this repository, or state "
f"that none exist.")
if field_name == "local_authority":
return (f"Is the behaviour required by '{title}' fully determined by "
f"this repository's own source code and existing tests, or "
f"does it depend on external/runtime behaviour that must be "
f"verified separately? Cite the decisive evidence.")
if field_name == "version_freshness_risk":
return (f"For '{title}': does the relevant external dependency's "
f"CURRENT version still guarantee the behaviour the task "
f"assumes? Cite the version/changelog evidence.")
return f"What evidence resolves the unknown '{field_name}' in '{title}'?"
@staticmethod
def _apply_grounded_probe(sufficiency, field_name: str, probe) -> None:
"""Fold a GROUNDED probe into the sufficiency inputs (provenance
carries the citation — never manufactured certainty)."""
if field_name == "verifiability":
sufficiency.verifiability = "TESTABLE"
elif field_name == "local_authority":
sufficiency.local_authority = "GROUNDED"
elif field_name == "version_freshness_risk":
sufficiency.version_freshness_risk = "NONE"
sufficiency.provenance[field_name] = (
f"evidence probe GROUNDED: {probe.source[:100]}")
@staticmethod
def _detect_external_refs(body: str) -> str:
"""Observable external-reference detection (handoff §2: provenance
over inference). URL schemes and explicit API/SDK/service markers."""
lower = body.lower()
if "http://" in lower or "https://" in lower:
return "PRESENT"
if any(m in lower for m in (" api ", "sdk", "library", "package",
"service", "endpoint")):
return "PRESENT"
return "NONE"
def _pipeline_sha(self) -> str:
try:
import subprocess
return subprocess.run(
["git", "rev-parse", "--short", "HEAD"], capture_output=True,
text=True, timeout=5, cwd=os.path.dirname(os.path.abspath(__file__))
).stdout.strip() or "UNKNOWN"
except (OSError, subprocess.SubprocessError):
# No git context available — record UNKNOWN honestly (provenance
# field, never a routing input on its own).
return "UNKNOWN"
def _execute_stage(self, stage: str, attempt: int, event: dict,
telemetry_attempt=None) -> dict:
"""Execute one stage. Returns the stage result.
@@ -527,121 +842,16 @@ class StageExecutor:
return {"status": "STAGE_COMPLETED", "stage": "OUTWARD",
"artifact_hash": artifact_digest, "next_stage": next_stage,
"artifact": artifact}
# ADAPT-9/#298: stdout was prose (or empty) and the declared
# artifact file is absent. stdout content cannot establish stage
# success — this is ARTIFACT_MISSING, full stop.
else:
# ADAPT-9/#298 artifact authority: stdout content cannot
# establish stage success — this is ARTIFACT_MISSING, full stop.
self.tree.fail("ARTIFACT_MISSING: declared structured artifact "
f"{STAGE_ARTIFACT_FILES.get('OUTWARD', 'outward.json')} "
"was not written and stdout carried no usable JSON")
"outward.json was not written and stdout carried "
"no usable JSON")
return {"status": "STAGE_FAILED", "stage": "OUTWARD",
"error": "ARTIFACT_MISSING",
"stderr": self._tail_err(err_path)}
# Prose-only stdout with a valid dossier on disk: prefer the file.
if relay_result["texts"] and not _re.search(r"\{.*\}", "\n\n".join(relay_result["texts"]), _re.DOTALL):
from research_task_tree import STAGE_ARTIFACT_FILES
_af = os.path.join(
self.artifact_dir, STAGE_ARTIFACT_FILES.get("OUTWARD", "outward.json"))
if os.path.exists(_af):
try:
with open(_af) as _f:
_wa = json.load(_f)
if _wa.get("discovery") or _wa.get("sources_discovered"):
relay_result = dict(relay_result, texts=[])
artifact_text = ""
except (json.JSONDecodeError, OSError):
pass
artifact_text = "\n\n".join(relay_result["texts"])
url_pat = _re.compile(r"https?://[^\s)>]+")
all_urls = url_pat.findall(artifact_text)
urls = sorted(set(u for u in all_urls if "gitea.thingscouldgetdicey" not in u))
# Real tool receipts from the relay (evidence chain provenance).
receipts = relay_result.get("receipts", [])
query_receipts = [r for r in receipts if r["kind"] == "QUERY"]
read_receipts = [r for r in receipts if r["kind"] == "SOURCE_READ"]
sources = []
for i, url in enumerate(urls[:10]):
# A source counts as READ only if the relay captured a real
# fetch receipt for it — search snippets alone are not evidence.
actually_read = any(
url.rstrip("/") == r.get("url", "").rstrip("/") for r in read_receipts
)
sources.append({
"id": "O" + str(i + 1),
"url": url,
"title": url.split("/")[-1][:60] or url,
"source_class": "web",
"discovered_via": "Q1",
"read_receipt": actually_read,
"selected_for_reading": i < 5,
})
queries = [{
"id": "Q1",
"query": question,
"tool_receipt": "mimo webfetch",
}] + [
{"id": "Q" + str(i + 2), "query": "(relay-captured)", "tool_receipt": r.get("url", "")[:120]}
for i, r in enumerate(query_receipts[:5])
]
# Split sources into discovered vs selected (both inside one artifact)
selected = [s for s in sources if s.get("selected_for_reading")]
sources_read = [s for s in selected if s.get("read_receipt")]
artifact = {
"stage": "OUTWARD",
"issue": self.issue,
"round": self.round_no,
"attempt": event.get("attempt", 1),
"discovery": {
"queries": queries,
"sources_discovered": sources,
"source_count": len(sources),
},
"reading": {
"sources_selected": selected,
"sources_read": [s["id"] for s in sources_read],
"evidence_extracted": len(artifact_text),
},
"tool_receipts": receipts,
"coverage": {
"required_classes": evidence_classes,
"represented_classes": ["web"] if urls else [],
"uncovered": [c for c in evidence_classes if c != "web"] if urls else evidence_classes,
},
"text": artifact_text,
"event_counts": relay_result["event_counts"],
"elapsed": relay_result["elapsed"],
# PROV-1 (#282): persisted factual metadata for the Source Ledger.
"model": os.environ.get("MIMO_MODEL", "UNKNOWN"),
}
gate_errors = self._validate_outward(artifact)
if gate_errors:
self.tree.fail("; ".join(gate_errors))
attempt = event.get("attempt", 1)
status = "GATE_FAILED" if attempt >= 2 else "GATE_RETRY"
return {"status": status, "stage": "OUTWARD",
"errors": gate_errors, "artifact_hash": artifact_hash(artifact)}
artifact_digest = artifact_hash(artifact)
next_stage = self.tree.advance(artifact)
print("")
print(" OUTWARD completed")
print(" Queries: " + str(len(queries)))
print(" Sources discovered: " + str(len(sources)))
print(" Selected: " + str(len([s for s in sources if s.get("selected_for_reading")])))
print(" Hash: " + artifact_digest)
print(" Next: " + next_stage)
return {"status": "STAGE_COMPLETED", "stage": "OUTWARD",
"artifact_hash": artifact_digest, "next_stage": next_stage, "artifact": artifact}
def _execute_applicability(self, event: dict, telemetry_attempt=None) -> dict:
"""APPLICABILITY (RP4/#267): classify OUTWARD mechanisms against Rune's
actual architecture, decide the INNOVATION route. One bounded MiMo pass;
+1 -1
View File
@@ -3,4 +3,4 @@
This is the main entry point for the Rune program.
"""
__version__ = "0.65.0"
__version__ = "0.66.0"
+1 -1
View File
@@ -252,7 +252,7 @@ def main() -> int:
)
check(
"Rune minor version advertises provisioning and restore verification",
'__version__ = "0.65.0"' in rune_version,
'__version__ = "0.66.0"' in rune_version,
failures,
)
# #169 policy update: auto-bump on merge is sanctioned (Nick directive:
+2 -2
View File
@@ -7,7 +7,7 @@ mode system, subject header, shared memory and identity.
This is not an interface. This is how I see, speak, and interact with the world.
Version: v0.65.0
Version: v0.66.0
Features: 41 (24 original + 17 new native commands)
Usage:
@@ -1923,7 +1923,7 @@ class RuneApp(App):
# Show version info
self.chat_channel.add_message(
"system",
f"[dim]Rune v0.65.0 | Textual TUI | {len(loaded)} native modules[/dim]",
f"[dim]Rune v0.66.0 | Textual TUI | {len(loaded)} native modules[/dim]",
)
# Auto-show night mode suggestion if evening/night hours
+33 -13
View File
@@ -1,4 +1,5 @@
"""Tests: ADAPT-2/#291 — canonical adaptive route authority."""
from __future__ import annotations
import importlib.util
@@ -6,24 +7,37 @@ import sys
from pathlib import Path
ROOT = Path(__file__).resolve().parent.parent
spec = importlib.util.spec_from_file_location("adaptive_router", ROOT / "scripts" / "adaptive_router.py")
ar = importlib.util.module_from_spec(spec)
sys.modules["adaptive_router"] = ar
spec.loader.exec_module(ar)
# Prefer the normal import when scripts/ is already importable (other test
# modules put it on sys.path). A duplicate standalone instance would split
# class identity (FloorViolation etc.) across module copies and poison
# cross-file tests. Spec-load only as the pathless fallback.
try:
import adaptive_router as ar # noqa: E402
except ModuleNotFoundError:
sys.path.insert(0, str(ROOT / "scripts"))
spec = importlib.util.spec_from_file_location("adaptive_router", ROOT / "scripts" / "adaptive_router.py")
ar = importlib.util.module_from_spec(spec)
sys.modules["adaptive_router"] = ar
spec.loader.exec_module(ar)
def test_local_fix():
d = ar.classify_route("Fix typo", has_local_repro=True, owning_authority_known=True,
testable_locally=True, narrow_and_reversible=True)
d = ar.classify_route(
"Fix typo", has_local_repro=True, owning_authority_known=True, testable_locally=True, narrow_and_reversible=True
)
assert d.route == "LOCAL_FIX"
assert d.confidence == "HIGH"
assert d.decided_by == "deterministic"
def test_local_fix_with_risk_escalates():
d = ar.classify_route("Fix typo but it touches memory architecture",
has_local_repro=True, owning_authority_known=True,
testable_locally=True, narrow_and_reversible=True)
d = ar.classify_route(
"Fix typo but it touches memory architecture",
has_local_repro=True,
owning_authority_known=True,
testable_locally=True,
narrow_and_reversible=True,
)
assert d.route != "LOCAL_FIX" # risk flag escalates
@@ -50,18 +64,24 @@ def test_researched_change_unknown_mechanism():
def test_route_decision_persisted(tmp_path):
d = ar.classify_route("Fix bug", has_local_repro=True, owning_authority_known=True,
testable_locally=True, narrow_and_reversible=True)
d = ar.classify_route(
"Fix bug", has_local_repro=True, owning_authority_known=True, testable_locally=True, narrow_and_reversible=True
)
path = str(tmp_path / "route_decisions.jsonl")
ar.record_route_decision(d, path)
import json
recs = [json.loads(l) for l in open(path)]
assert len(recs) == 1 and recs[0]["route"] == "LOCAL_FIX"
def test_route_decision_has_all_fields():
# Revised contract (handoff 2026-09-10 §4): escalation/downgrade are
# persisted route EVENTS owned by the same routing authority, not inert
# string lists on the decision. Transition identity fields required.
d = ar.classify_route("Test task")
assert hasattr(d, "reasons") and hasattr(d, "risk_flags")
assert hasattr(d, "uncertainty_flags") and hasattr(d, "escalation_conditions")
assert hasattr(d, "downgrade_conditions") and hasattr(d, "confidence")
assert hasattr(d, "uncertainty_flags") and hasattr(d, "confidence")
assert hasattr(d, "decided_by") and hasattr(d, "decided_at")
for transition_field in ("previous_route", "trigger", "evidence", "floor"):
assert hasattr(d, transition_field)
+256
View File
@@ -0,0 +1,256 @@
#!/usr/bin/env python3
"""tests/test_adaptive_router_wiring.py — Runtime Reachability canaries for ADAPT-2.
Doctrine (handoff 2026-09-10 §1/§9): a router is not operational because it
exists; it is operational when the PRODUCTION dispatch path calls it, its
decision CHANGES execution, and the full trail persists.
Canaries covered here:
1. LOCAL route has behavioural effect — routed task does NOT enter the
fixed-depth research chain; it reaches the implementation/verification
path (LOCAL_FIX lane) instead.
2/3. Evidence Probe (separate module, tested in test_evidence_probe.py).
4. Verification-driven escalation — recorded transition, same authority.
5. Research floor — non-downgradable.
6. Audit trail — full route history reconstructible from persisted JSONL.
These tests use a fake Gitea (monkeypatched _fetch_issue) so no network.
"""
import json
import os
import sys
import tempfile
import unittest
from pathlib import Path
from unittest import mock
SCRIPTS = os.path.join(os.path.dirname(__file__), "..", "scripts")
sys.path.insert(0, SCRIPTS)
import adaptive_router # noqa: E402
from research_stage_executor import StageExecutor, make_event_id # noqa: E402
LOCAL_ISSUE = {
"number": 9001,
"title": "Fix wrong log level in telemetry summary",
"body": (
"The telemetry summary prints log level INFO where it should be "
"DEBUG. Change the constant in stage_telemetry.py and update the "
"unit test. Existing test: tests/test_stage_telemetry.py."
),
"labels": [],
}
RESEARCH_ISSUE = {
"number": 9002,
"title": "Adopt vector backend for retrieval",
"body": (
"New subsystem: evaluate and adopt a new external vector database "
"dependency. Architecture change, data migration, expensive to "
"reverse, competing designs exist."
),
"labels": [],
}
def _make_executor(tmpdir, issue_data):
ex = StageExecutor(issue=issue_data["number"], artifact_dir=tmpdir, round_no=1)
ex._fetch_issue = lambda: issue_data
return ex
def _issue_event(issue_no, stage="ISSUE", attempt=1):
return {
"event_type": "ResearchStageReady",
"event_id": make_event_id(issue_no, f"research-{issue_no}", 1, stage, attempt),
"issue": issue_no,
"round": 1,
"stage": stage,
"attempt": attempt,
}
class Canary1LocalRouteChangesExecution(unittest.TestCase):
"""LOCAL_FIX route: task must NOT enter the fixed-depth research chain.
Acceptance: routed task reaches the implementation lane (status
ROUTED_LOCAL_FIX with an implementation_lane pointer), and the tree
records the terminal route — no OUTWARD/INWARD ever becomes READY.
"""
def test_local_fix_bypasses_research_chain(self):
with tempfile.TemporaryDirectory() as tmp:
ex = _make_executor(tmp, LOCAL_ISSUE)
result = ex.execute(_issue_event(9001))
self.assertEqual(result["status"], "ROUTED_LOCAL_FIX", f"expected local route to intercept, got: {result}")
self.assertEqual(result["route"], "LOCAL_FIX")
# Behavioural proof: the canonical chain was NOT entered
self.assertEqual(ex.tree.state["current_stage"], "ISSUE")
self.assertEqual(ex.tree.state["completed_stages"], [])
self.assertNotIn("OUTWARD", ex.tree.state.get("artifacts", {}))
# Implementation lane is named and reachable
self.assertTrue(result["implementation_lane"])
# Route decision persisted to the append-only route log
route_log = Path(tmp) / "route.jsonl"
self.assertTrue(route_log.exists(), "route decision not persisted")
rec = json.loads(route_log.read_text().strip())
self.assertEqual(rec["kind"], "INITIAL_ROUTE")
self.assertEqual(rec["route"], "LOCAL_FIX")
def test_research_route_enters_chain(self):
with tempfile.TemporaryDirectory() as tmp:
ex = _make_executor(tmp, RESEARCH_ISSUE)
result = ex.execute(_issue_event(9002))
# Research floor: RESEARCHED_CHANGE proceeds INTO the chain
self.assertEqual(result["status"], "STAGE_COMPLETED")
self.assertEqual(result["stage"], "ISSUE")
rec = json.loads((Path(tmp) / "route.jsonl").read_text().strip())
self.assertEqual(rec["kind"], "INITIAL_ROUTE")
self.assertEqual(rec["route"], "RESEARCHED_CHANGE")
self.assertTrue(rec.get("floor"), "research floor flag missing")
class Canary4VerificationEscalation(unittest.TestCase):
"""Verification failure revealing material uncertainty escalates via
recorded route transitions — same authority, append-only."""
def test_verification_failure_records_escalation(self):
with tempfile.TemporaryDirectory() as tmp:
from adaptive_router import escalate_route, RouteDecision
d0 = adaptive_router.classify_route(
"Fix typo in CLI help text",
has_local_repro=True,
owning_authority_known=True,
testable_locally=True,
narrow_and_reversible=True,
)
self.assertEqual(d0.route, "LOCAL_FIX")
log = Path(tmp) / "route.jsonl"
adaptive_router.record_route_decision(d0, str(log))
d1 = escalate_route(
d0,
new_route="RESEARCHED_CHANGE",
trigger="verification_failure_external_uncertainty",
evidence="verify() failed: behaviour differs across library versions",
log_path=str(log),
)
self.assertEqual(d1.route, "RESEARCHED_CHANGE")
self.assertEqual(d1.previous_route, "LOCAL_FIX")
lines = [json.loads(l) for l in log.read_text().strip().splitlines()]
self.assertEqual([r["kind"] for r in lines], ["INITIAL_ROUTE", "ESCALATION"])
self.assertEqual(lines[1]["previous_route"], "LOCAL_FIX")
self.assertEqual(lines[1]["new_route"], "RESEARCHED_CHANGE")
self.assertIn("trigger", lines[1])
self.assertIn("evidence", lines[1])
class Canary4ProductionVerificationEscalation(unittest.TestCase):
"""The local lane's production escalation hook: verification failure
with named material uncertainty → persisted route transition."""
def test_escalate_on_verification_failure(self):
from adaptive_router import escalate_on_verification_failure
with tempfile.TemporaryDirectory() as tmp:
log = Path(tmp) / "route.jsonl"
d0 = adaptive_router.classify_route(
"Fix log level constant",
has_local_repro=True,
owning_authority_known=True,
testable_locally=True,
narrow_and_reversible=True,
)
self.assertEqual(d0.route, "LOCAL_FIX")
adaptive_router.record_route_decision(d0, str(log))
d1 = escalate_on_verification_failure(
d0,
"verify() failed: behaviour differs across platformdirs "
"versions — the assumed API contract does not hold on v4",
str(log),
)
self.assertEqual(d1.route, "RESEARCHED_CHANGE")
self.assertEqual(d1.trigger, "verification_failure_external_uncertainty")
events = [json.loads(l) for l in log.read_text().strip().splitlines()]
self.assertEqual([e["kind"] for e in events], ["INITIAL_ROUTE", "ESCALATION"])
def test_bare_failure_evidence_is_refused(self):
from adaptive_router import escalate_on_verification_failure
d0 = adaptive_router.classify_route(
"Fix typo",
has_local_repro=True,
owning_authority_known=True,
testable_locally=True,
narrow_and_reversible=True,
)
with self.assertRaises(ValueError):
escalate_on_verification_failure(d0, "test failed", "/tmp/unused-route.jsonl")
class Canary5ResearchFloor(unittest.TestCase):
"""The floor is non-downgradable: efficiency arguments cannot bypass it."""
def test_floor_cannot_downgrade(self):
from adaptive_router import floor_applies, downgrade_route
d = adaptive_router.classify_route("New subsystem: adopt external vector DB, irreversible data migration")
self.assertTrue(floor_applies(d.route, d.risk_flags + d.uncertainty_flags))
with self.assertRaises(adaptive_router.FloorViolation):
downgrade_route(d, new_route="LOCAL_FIX", trigger="efficiency_argument", evidence="research is expensive")
class Canary6AuditTrail(unittest.TestCase):
"""Full route history reconstructible from persisted state — no prose."""
def test_full_trail_reconstruction(self):
with tempfile.TemporaryDirectory() as tmp:
from adaptive_router import escalate_route, downgrade_route
log = Path(tmp) / "route.jsonl"
d0 = adaptive_router.classify_route(
"Integrate vendor SDK v2; verify signing behaviour",
has_local_repro=True,
owning_authority_known=True,
testable_locally=True,
narrow_and_reversible=True,
)
adaptive_router.record_route_decision(d0, str(log))
d1 = escalate_route(
d0,
new_route="RESEARCHED_CHANGE",
trigger="unknown_mechanism",
evidence="SDK docs unavailable offline",
log_path=str(log),
)
d2 = downgrade_route(
d1,
new_route="STANDARD_CHANGE",
trigger="local_authority_established",
evidence="probe GROUNDED: SDK behaviour matches local vendor copy",
log_path=str(log),
)
adaptive_router.record_final_route(d2, str(log))
trail = [json.loads(l) for l in log.read_text().strip().splitlines()]
self.assertEqual([r["kind"] for r in trail], ["INITIAL_ROUTE", "ESCALATION", "DOWNGRADE", "FINAL_ROUTE"])
# Every transition carries the required identity fields
for rec in trail[1:]:
for field in ("previous_route", "new_route", "trigger", "evidence", "decided_at"):
self.assertIn(field, rec, f"{rec['kind']} missing {field}")
# Reconstruct: initial -> final with no inference
self.assertEqual(trail[0]["route"], trail[1]["previous_route"])
self.assertEqual(trail[1]["new_route"], trail[2]["previous_route"])
self.assertEqual(trail[-1]["route"], "STANDARD_CHANGE")
if __name__ == "__main__":
unittest.main()
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#!/usr/bin/env python3
"""tests/test_evidence_probe.py — Targeted Evidence Probe canaries (§20.D).
Canary 2: otherwise-local task → material external unknown → probe GROUNDED
→ returns to implementation path, does NOT launch full research.
Canary 3: probe STILL_UNKNOWN / CONTRADICTED → recorded escalation →
RESEARCHED_CHANGE (no probe loops).
Plus module gates: schema validation, budget (no recursion), file authority.
"""
import json
import os
import sys
import tempfile
import unittest
from pathlib import Path
SCRIPTS = os.path.join(os.path.dirname(__file__), "..", "scripts")
sys.path.insert(0, SCRIPTS)
import adaptive_router # noqa: E402
import evidence_probe # noqa: E402
from research_stage_executor import StageExecutor, make_event_id # noqa: E402
def _issue_event(issue_no, stage="ISSUE", attempt=1):
return {
"event_type": "ResearchStageReady",
"event_id": make_event_id(issue_no, f"research-{issue_no}", 1, stage, attempt),
"issue": issue_no,
"round": 1,
"stage": stage,
"attempt": attempt,
}
# An otherwise-local task with ONE material external unknown: the issue
# references an external library's behaviour but is a known-pattern change.
AMBIGUOUS_ISSUE = {
"number": 9100,
"title": "Handle platformdirs config-dir resolution on new installs",
"body": (
"Wire the config dir through the platformdirs library package. "
"Reference: https://platformdirs.readthedocs.io. Depends on "
"current behaviour of the library's version. Existing test: "
"tests/test_config_paths.py covers the local wiring."
),
"labels": [],
}
GROUNDED_PROBE = {
"question": "probe",
"source": "https://platformdirs.readthedocs.io/changelog.html",
"answer": "Current version guarantees the assumed behaviour.",
"implication": "Local wiring is sufficient; no version guard needed.",
"status": "GROUNDED",
}
UNKNOWN_PROBE = {
"question": "probe",
"source": "",
"answer": "Could not find authoritative evidence.",
"implication": "Uncertainty remains.",
"status": "STILL_UNKNOWN",
}
def _runner_returning(payload):
def runner(prompt, artifact_path):
with open(artifact_path, "w") as f:
json.dump(dict(payload, question=payload.get("question", "probe")), f)
return runner
def _make_executor(tmpdir, issue_data, runner):
ex = StageExecutor(issue=issue_data["number"], artifact_dir=tmpdir, round_no=1, probe_runner=runner)
ex._fetch_issue = lambda: issue_data
return ex
class Canary2ProbeGroundedReturnsToLocal(unittest.TestCase):
def test_grounded_probe_resolves_unknown_without_deep_research(self):
with tempfile.TemporaryDirectory() as tmp:
def runner(prompt, artifact_path):
# The prompt must name the EXACT artifact path (ADAPT-9)
self.assertIn(artifact_path, prompt)
with open(artifact_path, "w") as f:
json.dump(dict(GROUNDED_PROBE), f)
ex = _make_executor(tmp, AMBIGUOUS_ISSUE, runner)
result = ex.execute(_issue_event(9100))
# The route must NOT be deep research: the probe grounded the
# unknown and the task returns to the local implementation path.
self.assertEqual(
result["status"], "ROUTED_LOCAL_FIX", f"grounded probe should return to local lane: {result}"
)
# Exactly ONE probe ran — no loops.
self.assertEqual(len(result["probes"]), 1)
self.assertEqual(result["probes"][0]["status"], "GROUNDED")
# Probe persisted with citations
probe = json.loads((Path(tmp) / "probe.json").read_text())
self.assertEqual(probe["status"], "GROUNDED")
self.assertIn("https://", probe["source"])
# Route log: single INITIAL_ROUTE (no escalation event)
events = [json.loads(l) for l in (Path(tmp) / "route.jsonl").read_text().strip().splitlines()]
self.assertEqual([e["kind"] for e in events], ["INITIAL_ROUTE"])
self.assertEqual(events[0]["route"], "LOCAL_FIX")
self.assertIn("evidence probe GROUNDED", events[0].get("provenance", {}).get("local_authority", ""))
class Canary3UnresolvedEscalates(unittest.TestCase):
def test_still_unknown_escalates_to_researched_change(self):
with tempfile.TemporaryDirectory() as tmp:
ex = _make_executor(tmp, AMBIGUOUS_ISSUE, _runner_returning(dict(UNKNOWN_PROBE)))
result = ex.execute(_issue_event(9100))
# Escalation: enters the canonical chain (no terminal local route)
self.assertNotEqual(result.get("status"), "ROUTED_LOCAL_FIX")
events = [json.loads(l) for l in (Path(tmp) / "route.jsonl").read_text().strip().splitlines()]
kinds = [e["kind"] for e in events]
self.assertIn("ESCALATION", kinds)
esc = next(e for e in events if e["kind"] == "ESCALATION")
self.assertEqual(esc["new_route"], "RESEARCHED_CHANGE")
self.assertEqual(esc["trigger"], "evidence_probe_unresolved")
self.assertIn("STILL_UNKNOWN", esc["evidence"])
# Transition identity fields present
for field in ("previous_route", "trigger", "evidence"):
self.assertIn(field, esc)
# Probe recorded the failure honestly — in the PERSISTED state
# (the escalation path returns into the chain; the durable
# artifact is the tree, not the ephemeral return value).
self.assertEqual(ex.tree.state["probes"][0]["status"], "STILL_UNKNOWN")
probe = json.loads((Path(tmp) / "probe.json").read_text())
self.assertEqual(probe["status"], "STILL_UNKNOWN")
def test_no_probe_recursion_budget(self):
with tempfile.TemporaryDirectory() as tmp:
for i in range(evidence_probe.MAX_PROBES_PER_TASK):
evidence_probe.run_probe(f"unknown {i}", tmp, runner=_runner_returning(dict(UNKNOWN_PROBE)))
with self.assertRaises(evidence_probe.ProbeBudgetExceeded):
evidence_probe.run_probe("one too many", tmp, runner=_runner_returning(dict(UNKNOWN_PROBE)))
class ProbeModuleGates(unittest.TestCase):
def test_schema_validation(self):
bad = {"question": "q", "source": "s", "answer": "a", "implication": "i", "status": "MAYBE"}
errors = evidence_probe.validate_probe(bad)
self.assertTrue(any("status" in e for e in errors))
grounded_no_source = dict(GROUNDED_PROBE, source="x")
errors = evidence_probe.validate_probe(grounded_no_source)
self.assertTrue(any("source" in e for e in errors))
self.assertEqual(evidence_probe.validate_probe(dict(GROUNDED_PROBE)), [])
def test_missing_artifact_fails_loud(self):
with tempfile.TemporaryDirectory() as tmp:
def silent_runner(prompt, artifact_path):
pass # worker wrote nothing
with self.assertRaises(ValueError) as ctx:
evidence_probe.run_probe("q", tmp, runner=silent_runner)
self.assertIn("declared artifact", str(ctx.exception))
if __name__ == "__main__":
unittest.main()