Two enhancements continuing the toy-Hermes design pass: #1 Chain-segment failure localization aborist/qa/dag.py: `localize_failure(audit_mode, n_sources, n_quotes, n_verified)` maps a non-STRICT verdict to the pipeline stage that introduced the failure: retrieval no admitted sources (gate over-rejected, or corpus genuinely lacks the topic) → ingest more / relax breadth context sources retrieved but no quotes extracted (per-source cap dropped relevant content, or model declined to cite) → raise cap / tighten prompt answer quotes extracted but didn't all verify (model fabricated, paraphrased inside quotes, appended citations) → mechanical + re-prompt repair targets exactly this case `failure_stage` lands on the run_dag's verify node payload AND on the result dict so an operator can read the reason at a glance — `failure_stage='answer'` means stop tuning the verifier & fix the model behavior. Debugging becomes typed instead of vague. #2 Re-prompt repair (second tier of the hybrid loop) aborist/qa/repair.py: `reprompt_repair(...)` builds a feedback message naming the failed quotes & asks the model to rewrite using only verbatim citations. Hard rule: only fires when `policy["repair_max_reprompts"] > 0` (default 0); caller enforces the cap by looping at most that many times. aborist/qa/query.py + aborist/qa/runner.py: after mechanical repair, if the answer is still HYBRID/UNGROUNDED with unverified quotes, loop up to `repair_max_reprompts` times. Each iteration: build feedback (assistant turn with current answer + user turn with failed spans), call LLM, verify. Accept the new answer if `n_verified` strictly improved; otherwise break (the model's not converging, don't waste cycles). The mechanical + re-prompt combination handles the cases each tier declines individually: mechanical alone: synthetic_elision split, trailing_artifact trim, no_overlap remove + re-prompt: paraphrase, partial_paraphrase, interior_elision needing semantic judgment, fabrications the model can recognize when shown its own quote `repair_max_reprompts` lives in DEFAULT_QUERY_POLICY + DEFAULT_POLICY so it folds into governance_policy_hash. Default 0 preserves single-shot semantics for callers that don't opt in. Each re-prompt iteration adds a `{action: reprompt_rewrite, diagnosis: model_feedback_loop}` entry to repair_changes; audit chain captures the full transition through the existing providence_repair event. Tests: - dag: localize_failure across all four cases (STRICT, retrieval, context, answer); failure_stage embedded in run_dag verify node. - repair: stub client with sequenced answers (failing first, clean on re-prompt) — assert two LLM calls, STRICT verdict, reprompt_rewrite in the change log. 484 tests pass (dag +5, repair +1). The pre-existing test_burn flake under full-suite ordering remains; passes in isolation.
283 lines
10 KiB
Python
283 lines
10 KiB
Python
"""Mechanical answer-repair loop.
|
|
|
|
`mechanical_repair` applies sidecar repair suggestions (synthetic_elision
|
|
split, trailing_artifact trim, no_overlap remove) to an answer text
|
|
deterministically. The query/ask runners gate this behind
|
|
`policy["repair_enabled"]` and re-verify the repaired text; if the
|
|
post-repair verdict isn't worse, the repaired answer is persisted with
|
|
a `providence_repair` audit event recording the pre→post transition.
|
|
|
|
These tests cover:
|
|
- Each repair action produces the right substitution.
|
|
- Idempotence: running repair on already-clean text is a no-op.
|
|
- query() integration: repair_enabled=True can promote HYBRID/quote →
|
|
STRICT/quote on synthetic_elision cases without an extra LLM call.
|
|
- query() default repair_enabled=False leaves answer text untouched.
|
|
"""
|
|
|
|
from __future__ import annotations
|
|
|
|
from typing import Iterator
|
|
|
|
from aborist.document import Document
|
|
from aborist.ingest import ingest_source
|
|
from aborist.qa import query
|
|
from aborist.qa.client import StubClient
|
|
from aborist.qa.repair import mechanical_repair
|
|
from aborist.source import Source
|
|
from aborist.store import connect
|
|
|
|
|
|
# ---------------------------------------------------------------- mechanical_repair
|
|
|
|
|
|
def test_mechanical_repair_splits_synthetic_elision():
|
|
"""`"prefix [...] suffix"` (both halves verbatim) becomes
|
|
`"prefix" ... "suffix"`."""
|
|
context = (
|
|
"The film centers on the fictional Isla Nublar, in Costa Rica. "
|
|
"Universal Studios acquired the rights to the novel."
|
|
)
|
|
answer = (
|
|
'The plot states "The film centers on the fictional Isla Nublar [...] '
|
|
'Universal Studios acquired the rights to the novel".'
|
|
)
|
|
bad_quote = (
|
|
"The film centers on the fictional Isla Nublar [...] "
|
|
"Universal Studios acquired the rights to the novel"
|
|
)
|
|
out = mechanical_repair(answer, [bad_quote], context)
|
|
assert len(out["changes"]) == 1
|
|
assert out["changes"][0]["action"] == "split_into_two_quotes"
|
|
# Two separate quoted spans now appear:
|
|
assert '"The film centers on the fictional Isla Nublar"' in out["repaired_text"]
|
|
assert '"Universal Studios acquired the rights to the novel"' in out["repaired_text"]
|
|
# `[...]` no longer appears inside any single quoted span.
|
|
assert "[...]" not in out["repaired_text"]
|
|
|
|
|
|
def test_mechanical_repair_trims_trailing_citation():
|
|
"""`"prose. (Source: ...)"` becomes `"prose."`."""
|
|
context = (
|
|
"Pikachu can store electricity in its cheeks and release it in "
|
|
"lightning-based attacks. Pikachu evolves from Pichu."
|
|
)
|
|
bad_quote = (
|
|
"Pikachu can store electricity in its cheeks and release it in "
|
|
"lightning-based attacks. (Source: https://en.wikipedia.org/wiki/Pikachu)"
|
|
)
|
|
answer = f'According to source: "{bad_quote}"'
|
|
out = mechanical_repair(answer, [bad_quote], context)
|
|
assert len(out["changes"]) == 1
|
|
assert out["changes"][0]["action"] == "trim_trailing_artifact"
|
|
assert "(Source:" not in out["repaired_text"]
|
|
|
|
|
|
def test_mechanical_repair_removes_no_overlap_line():
|
|
"""Full-invention spans get the line stripped from the answer."""
|
|
context = "Pikachu is a Pokémon species."
|
|
bad_quote = "The Roman Senate convened in 49 BC to debate Caesar's rebellion"
|
|
answer = (
|
|
"- Pikachu lives in the wild\n"
|
|
f'- "{bad_quote}"\n'
|
|
"- Pichu evolves into Pikachu\n"
|
|
)
|
|
out = mechanical_repair(answer, [bad_quote], context)
|
|
assert len(out["changes"]) == 1
|
|
assert out["changes"][0]["action"] == "remove_claim"
|
|
assert bad_quote not in out["repaired_text"]
|
|
# Other bullets preserved.
|
|
assert "Pikachu lives in the wild" in out["repaired_text"]
|
|
assert "Pichu evolves into Pikachu" in out["repaired_text"]
|
|
|
|
|
|
def test_mechanical_repair_idempotent_on_clean_text():
|
|
"""No unverified quotes → no change."""
|
|
context = "Cloud is the protagonist."
|
|
answer = 'The source: "Cloud is the protagonist".'
|
|
out = mechanical_repair(answer, [], context)
|
|
assert out["changes"] == []
|
|
assert out["repaired_text"] == answer
|
|
|
|
|
|
# ---------------------------------------------------------------- query() integration
|
|
|
|
|
|
class FakeSource(Source):
|
|
source_type = "test"
|
|
|
|
def __init__(self, docs):
|
|
self.docs = docs
|
|
|
|
def iter_documents(self) -> Iterator[Document]:
|
|
yield from self.docs
|
|
|
|
|
|
def _doc(uri, content):
|
|
return Document(uri=uri, content=content, source_type="test", title=uri.rsplit("/", 1)[-1])
|
|
|
|
|
|
def test_query_repair_disabled_default_leaves_answer_unchanged(tmp_path):
|
|
"""`policy["repair_enabled"]` defaults to False — answer text in the
|
|
persisted record matches what the LLM produced."""
|
|
main_db = tmp_path / "corpus.db"
|
|
qa_db = tmp_path / "qa.db"
|
|
long_text = (
|
|
"Capitalism is an economic system based on private ownership "
|
|
"of the means of production. " * 20
|
|
)
|
|
docs = [_doc("test://capitalism", long_text)]
|
|
conn = connect(main_db)
|
|
try:
|
|
ingest_source(conn, FakeSource(docs))
|
|
finally:
|
|
conn.close()
|
|
# Answer with a synthetic_elision-style bad quote.
|
|
bad_answer = (
|
|
'"Capitalism is an economic system based on private ownership '
|
|
'[...] of the means of production."'
|
|
)
|
|
result = query(
|
|
question="What is capitalism?",
|
|
qa_db=qa_db,
|
|
chat_client=StubClient(answer=bad_answer),
|
|
model_id="m",
|
|
single_db=main_db,
|
|
)
|
|
# Repair off → answer text unchanged from LLM output.
|
|
qa_conn = connect(qa_db)
|
|
try:
|
|
row = qa_conn.execute(
|
|
"SELECT answer_text FROM providence_cache WHERE cache_key=?",
|
|
(result["cache_key"],),
|
|
).fetchone()
|
|
finally:
|
|
qa_conn.close()
|
|
assert row["answer_text"] == bad_answer
|
|
assert result["repair_changes"] == []
|
|
|
|
|
|
def test_query_reprompt_rewrites_on_paraphrase_failure(tmp_path):
|
|
"""Re-prompt tier handles cases mechanical declines (paraphrase,
|
|
interior_elision needing semantic judgment). The stub returns a
|
|
failing answer on first call & a clean verbatim quote on the
|
|
second; with `repair_max_reprompts=1`, the system promotes the
|
|
verdict to STRICT and the persisted answer is the re-written one."""
|
|
main_db = tmp_path / "corpus.db"
|
|
qa_db = tmp_path / "qa.db"
|
|
src_text = (
|
|
"Capitalism is an economic system based on private ownership "
|
|
"of the means of production. " * 10
|
|
)
|
|
docs = [_doc("test://capitalism", src_text)]
|
|
conn = connect(main_db)
|
|
try:
|
|
ingest_source(conn, FakeSource(docs))
|
|
finally:
|
|
conn.close()
|
|
|
|
# First call: paraphrase inside a quote that won't substring-match
|
|
# AND won't trigger mechanical repair (no [...], no Source-tail, not
|
|
# full invention — clearly a paraphrase).
|
|
bad_answer = (
|
|
'"Capitalism is an economic philosophy based on personal control "'
|
|
'"over production"'
|
|
)
|
|
# Second call (re-prompt): clean verbatim quote.
|
|
good_answer = (
|
|
'"Capitalism is an economic system based on private ownership '
|
|
'of the means of production"'
|
|
)
|
|
|
|
class _SeqClient:
|
|
def __init__(self):
|
|
self.calls = []
|
|
self.answers = [bad_answer, good_answer]
|
|
|
|
def chat_completion(self, messages, **kw):
|
|
self.calls.append(messages)
|
|
return self.answers[len(self.calls) - 1] if self.calls else self.answers[0]
|
|
|
|
client = _SeqClient()
|
|
|
|
from aborist.qa.query import DEFAULT_QUERY_POLICY
|
|
policy = dict(DEFAULT_QUERY_POLICY)
|
|
policy["repair_enabled"] = True
|
|
policy["repair_max_reprompts"] = 1
|
|
|
|
result = query(
|
|
question="What is capitalism?",
|
|
qa_db=qa_db,
|
|
chat_client=client,
|
|
model_id="m",
|
|
single_db=main_db,
|
|
policy=policy,
|
|
)
|
|
|
|
assert len(client.calls) == 2 # one initial + one re-prompt
|
|
assert result["audit_mode"] == "STRICT"
|
|
assert any(
|
|
c["action"] == "reprompt_rewrite" for c in result["repair_changes"]
|
|
)
|
|
|
|
|
|
def test_query_repair_enabled_promotes_synthetic_elision_to_strict(tmp_path):
|
|
"""With `repair_enabled=True`, the mechanical loop splits a
|
|
`[...]`-elided quote into two verbatim spans, re-verifies, & lands
|
|
STRICT instead of HYBRID. Persisted answer is the repaired text."""
|
|
main_db = tmp_path / "corpus.db"
|
|
qa_db = tmp_path / "qa.db"
|
|
# Source phrase the model will fail to quote verbatim:
|
|
src_text = (
|
|
"Capitalism is an economic system based on private ownership "
|
|
"of the means of production. " * 20
|
|
)
|
|
docs = [_doc("test://capitalism", src_text)]
|
|
conn = connect(main_db)
|
|
try:
|
|
ingest_source(conn, FakeSource(docs))
|
|
finally:
|
|
conn.close()
|
|
|
|
bad_answer = (
|
|
'Per the source: "Capitalism is an economic system based on private ownership '
|
|
'[...] of the means of production".'
|
|
)
|
|
|
|
# Build a policy variant with repair_enabled=True.
|
|
from aborist.qa.query import DEFAULT_QUERY_POLICY
|
|
policy = dict(DEFAULT_QUERY_POLICY)
|
|
policy["repair_enabled"] = True
|
|
|
|
result = query(
|
|
question="What is capitalism?",
|
|
qa_db=qa_db,
|
|
chat_client=StubClient(answer=bad_answer),
|
|
model_id="m",
|
|
single_db=main_db,
|
|
policy=policy,
|
|
)
|
|
|
|
# Repair fired & promoted the verdict.
|
|
assert result["pre_repair_audit_mode"] in ("HYBRID", "UNGROUNDED")
|
|
assert result["audit_mode"] == "STRICT"
|
|
assert len(result["repair_changes"]) >= 1
|
|
assert result["repair_changes"][0]["action"] == "split_into_two_quotes"
|
|
|
|
# Persisted answer is the REPAIRED text (no `[...]` inside any quote).
|
|
qa_conn = connect(qa_db)
|
|
try:
|
|
row = qa_conn.execute(
|
|
"SELECT answer_text FROM providence_cache WHERE cache_key=?",
|
|
(result["cache_key"],),
|
|
).fetchone()
|
|
# Audit chain has the providence_repair event.
|
|
evt = qa_conn.execute(
|
|
"SELECT event_type, body FROM audit_events "
|
|
"WHERE event_type='providence_repair' ORDER BY seq DESC LIMIT 1"
|
|
).fetchone()
|
|
finally:
|
|
qa_conn.close()
|
|
assert "[...]" not in row["answer_text"]
|
|
assert evt is not None
|
|
assert evt["event_type"] == "providence_repair"
|