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feat(honcho): dialectic liveness — stale-thread watchdog, stale-result discard, empty-streak backoff
Hardens the dialectic lifecycle against three failure modes that could leave the prefetch pipeline stuck or injecting stale content: - Stale-thread watchdog: _thread_is_live() treats any prefetch thread older than timeout × 2.0 as dead. A hung Honcho call can no longer block subsequent fires indefinitely. - Stale-result discard: pending _prefetch_result is tagged with its fire turn. prefetch() discards the result if more than cadence × 2 turns passed before a consumer read it (e.g. a run of trivial-prompt turns between fire and read). - Empty-streak backoff: consecutive empty dialectic returns widen the effective cadence (dialectic_cadence + streak, capped at cadence × 8). A healthy fire resets the streak. Prevents the plugin from hammering the backend every turn when the peer graph is cold. - liveness_snapshot() on the provider exposes current turn, last fire, pending fire-at, empty streak, effective cadence, and thread status for in-process diagnostics. - system_prompt_block: nudge the model that honcho_reasoning accepts reasoning_level minimal/low/medium/high/max per call. - hermes honcho status: surface base reasoning level, cap, and heuristic toggle so config drift is visible at a glance. Tests: 550 passed. - TestDialecticLiveness (8 tests): stale-thread recovery, stale-result discard, fresh-result retention, backoff widening, backoff ceiling, streak reset on success, streak increment on empty, snapshot shape. - Existing TestDialecticCadenceAdvancesOnSuccess::test_in_flight_thread_is_not_stacked updated to set _prefetch_thread_started_at so it tests the fresh-thread-blocks branch (stale path covered separately). - test_cli TestCmdStatus fake updated with the new config attrs surfaced in the status block.
This commit is contained in:
parent
098efde848
commit
c630dfcdac
4 changed files with 266 additions and 16 deletions
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@ -19,6 +19,7 @@ import json
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import logging
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import re
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import threading
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import time
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from typing import Any, Dict, List, Optional
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from agent.memory_provider import MemoryProvider
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@ -214,6 +215,11 @@ class HonchoMemoryProvider(MemoryProvider):
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self._last_context_turn = -999
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self._last_dialectic_turn = -999
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# Liveness + observability state
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self._prefetch_thread_started_at: float = 0.0 # monotonic ts of current thread
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self._prefetch_result_fired_at: int = -999 # turn the pending result was fired at
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self._dialectic_empty_streak: int = 0 # consecutive empty returns
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# Port #1957: lazy session init for tools-only mode
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self._session_initialized = False
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self._lazy_init_kwargs: Optional[dict] = None
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@ -413,13 +419,19 @@ class HonchoMemoryProvider(MemoryProvider):
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r = self._run_dialectic_depth(_prewarm_query)
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except Exception as exc:
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logger.debug("Honcho dialectic prewarm failed: %s", exc)
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self._dialectic_empty_streak += 1
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return
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if r and r.strip():
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with self._prefetch_lock:
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self._prefetch_result = r
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self._prefetch_result_fired_at = 0
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# Treat prewarm as turn 0 so cadence gating starts clean.
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self._last_dialectic_turn = 0
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self._dialectic_empty_streak = 0
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else:
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self._dialectic_empty_streak += 1
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self._prefetch_thread_started_at = time.monotonic()
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self._prefetch_thread = threading.Thread(
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target=_prewarm_dialectic, daemon=True, name="honcho-prewarm-dialectic"
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)
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@ -513,7 +525,8 @@ class HonchoMemoryProvider(MemoryProvider):
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"# Honcho Memory\n"
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"Active (tools-only mode). Use honcho_profile for a quick factual snapshot, "
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"honcho_search for raw excerpts, honcho_context for raw peer context, "
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"honcho_reasoning for synthesized answers, "
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"honcho_reasoning for synthesized answers (pass reasoning_level "
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"minimal/low/medium/high/max — you pick the depth per call), "
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"honcho_conclude to save facts about the user. "
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"No automatic context injection — you must use tools to access memory."
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)
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@ -523,7 +536,8 @@ class HonchoMemoryProvider(MemoryProvider):
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"Active (hybrid mode). Relevant context is auto-injected AND memory tools are available. "
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"Use honcho_profile for a quick factual snapshot, "
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"honcho_search for raw excerpts, honcho_context for raw peer context, "
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"honcho_reasoning for synthesized answers, "
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"honcho_reasoning for synthesized answers (pass reasoning_level "
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"minimal/low/medium/high/max — you pick the depth per call), "
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"honcho_conclude to save facts about the user."
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)
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@ -611,14 +625,20 @@ class HonchoMemoryProvider(MemoryProvider):
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r = self._run_dialectic_depth(query)
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except Exception as exc:
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logger.debug("Honcho first-turn dialectic failed: %s", exc)
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self._dialectic_empty_streak += 1
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return
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if r and r.strip():
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with self._prefetch_lock:
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self._prefetch_result = r
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self._prefetch_result_fired_at = _fired_at
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# Advance cadence only on a non-empty result so the next
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# turn retries when the call returned nothing.
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self._last_dialectic_turn = _fired_at
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self._dialectic_empty_streak = 0
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else:
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self._dialectic_empty_streak += 1
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self._prefetch_thread_started_at = time.monotonic()
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self._prefetch_thread = threading.Thread(
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target=_run_first_turn, daemon=True, name="honcho-prefetch-first"
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)
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@ -635,7 +655,21 @@ class HonchoMemoryProvider(MemoryProvider):
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self._prefetch_thread.join(timeout=3.0)
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with self._prefetch_lock:
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dialectic_result = self._prefetch_result
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fired_at = self._prefetch_result_fired_at
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self._prefetch_result = ""
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self._prefetch_result_fired_at = -999
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# Discard stale pending results: if the fire happened more than
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# cadence × multiplier turns ago (e.g. a run of trivial-prompt turns
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# passed without consumption), the content likely no longer tracks
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# the current conversational pivot.
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stale_limit = self._dialectic_cadence * self._STALE_RESULT_MULTIPLIER
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if dialectic_result and fired_at >= 0 and (self._turn_count - fired_at) > stale_limit:
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logger.debug(
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"Honcho pending dialectic discarded as stale: fired_at=%d, "
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"turn=%d, limit=%d", fired_at, self._turn_count, stale_limit,
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)
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dialectic_result = ""
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if dialectic_result and dialectic_result.strip():
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parts.append(dialectic_result)
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@ -693,18 +727,23 @@ class HonchoMemoryProvider(MemoryProvider):
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logger.debug("Honcho context prefetch failed: %s", e)
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# ----- Dialectic prefetch (supplement layer) -----
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# Guard against thread pile-up: if a prior dialectic is still in flight,
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# let it finish instead of stacking races on _prefetch_result.
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if self._prefetch_thread and self._prefetch_thread.is_alive():
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# Thread-alive guard with stale-thread recovery: a hung Honcho call
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# older than timeout × multiplier is treated as dead so it can't
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# block subsequent fires.
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if self._thread_is_live():
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logger.debug("Honcho dialectic prefetch skipped: prior thread still running")
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return
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# B5: cadence check — skip if too soon since last *successful* dialectic call.
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# The gate applies uniformly (including cadence=1): "every turn" means once
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# per turn, not twice on the same turn when first-turn sync already fired.
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if (self._turn_count - self._last_dialectic_turn) < self._dialectic_cadence:
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logger.debug("Honcho dialectic prefetch skipped: cadence %d, turns since last: %d",
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self._dialectic_cadence, self._turn_count - self._last_dialectic_turn)
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# Cadence gate, widened by the empty-streak backoff so a persistently
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# silent backend doesn't retry every turn forever.
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effective = self._effective_cadence()
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if (self._turn_count - self._last_dialectic_turn) < effective:
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logger.debug(
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"Honcho dialectic prefetch skipped: effective cadence %d "
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"(base %d, empty streak %d), turns since last: %d",
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effective, self._dialectic_cadence, self._dialectic_empty_streak,
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self._turn_count - self._last_dialectic_turn,
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)
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return
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# Cadence advances only on a non-empty result so empty returns
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@ -716,12 +755,18 @@ class HonchoMemoryProvider(MemoryProvider):
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result = self._run_dialectic_depth(query)
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except Exception as e:
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logger.debug("Honcho prefetch failed: %s", e)
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self._dialectic_empty_streak += 1
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return
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if result and result.strip():
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with self._prefetch_lock:
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self._prefetch_result = result
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self._prefetch_result_fired_at = _fired_at
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self._last_dialectic_turn = _fired_at
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self._dialectic_empty_streak = 0
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else:
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self._dialectic_empty_streak += 1
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self._prefetch_thread_started_at = time.monotonic()
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self._prefetch_thread = threading.Thread(
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target=_run, daemon=True, name="honcho-prefetch"
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)
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@ -750,6 +795,59 @@ class HonchoMemoryProvider(MemoryProvider):
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_HEURISTIC_LENGTH_MEDIUM = 120
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_HEURISTIC_LENGTH_HIGH = 400
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# Liveness constants. A thread older than timeout × multiplier is treated
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# as dead so a hung Honcho call can't block future retries indefinitely.
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_STALE_THREAD_MULTIPLIER = 2.0
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# Pending result whose fire-turn is older than cadence × multiplier is
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# discarded on read so we don't inject context for a stale conversational
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# pivot after a gap of trivial-prompt turns.
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_STALE_RESULT_MULTIPLIER = 2
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# Cap on the empty-streak backoff so a persistently silent backend
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# eventually settles on a ceiling instead of unbounded widening.
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_BACKOFF_MAX = 8
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def _thread_is_live(self) -> bool:
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"""Thread-alive guard that treats threads older than the stale
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threshold as dead, so a hung Honcho request can't block new fires."""
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if not self._prefetch_thread or not self._prefetch_thread.is_alive():
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return False
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timeout = (self._config.timeout if self._config and self._config.timeout else 8.0)
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age = time.monotonic() - self._prefetch_thread_started_at
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if age > timeout * self._STALE_THREAD_MULTIPLIER:
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logger.debug(
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"Honcho prefetch thread age %.1fs exceeds stale threshold "
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"%.1fs — treating as dead", age, timeout * self._STALE_THREAD_MULTIPLIER,
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)
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return False
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return True
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def _effective_cadence(self) -> int:
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"""Cadence plus empty-streak backoff, capped at _BACKOFF_MAX × base."""
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if self._dialectic_empty_streak <= 0:
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return self._dialectic_cadence
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widened = self._dialectic_cadence + self._dialectic_empty_streak
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ceiling = self._dialectic_cadence * self._BACKOFF_MAX
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return min(widened, ceiling)
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def liveness_snapshot(self) -> dict:
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"""In-process snapshot of dialectic liveness state for diagnostics.
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Returns current turn, last successful dialectic turn, pending-result
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fire turn, empty streak, effective cadence, and thread status.
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"""
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thread_age = None
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if self._prefetch_thread and self._prefetch_thread.is_alive():
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thread_age = time.monotonic() - self._prefetch_thread_started_at
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return {
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"turn_count": self._turn_count,
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"last_dialectic_turn": self._last_dialectic_turn,
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"pending_result_fired_at": self._prefetch_result_fired_at,
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"empty_streak": self._dialectic_empty_streak,
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"effective_cadence": self._effective_cadence(),
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"thread_alive": thread_age is not None,
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"thread_age_seconds": thread_age,
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}
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def _apply_reasoning_heuristic(self, base: str, query: str) -> str:
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"""Scale `base` up by query length, clamped at reasoning_level_cap.
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@ -638,6 +638,9 @@ def cmd_status(args) -> None:
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raw = getattr(hcfg, "raw", None) or {}
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dialectic_cadence = raw.get("dialecticCadence") or 1
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print(f" Dialectic cad: every {dialectic_cadence} turn{'s' if dialectic_cadence != 1 else ''}")
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reasoning_cap = raw.get("reasoningLevelCap") or hcfg.reasoning_level_cap
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heuristic_on = "on" if hcfg.reasoning_heuristic else "off"
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print(f" Reasoning: base={hcfg.dialectic_reasoning_level}, cap={reasoning_cap}, heuristic={heuristic_on}")
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print(f" Observation: user(me={hcfg.user_observe_me},others={hcfg.user_observe_others}) ai(me={hcfg.ai_observe_me},others={hcfg.ai_observe_others})")
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print(f" Write freq: {hcfg.write_frequency}")
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@ -26,6 +26,9 @@ class TestCmdStatus:
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write_frequency = "async"
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session_strategy = "per-session"
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context_tokens = 800
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dialectic_reasoning_level = "low"
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reasoning_level_cap = "high"
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reasoning_heuristic = True
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def resolve_session_name(self):
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return "hermes"
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@ -823,8 +823,11 @@ def _settle_prewarm(provider):
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provider._prefetch_thread.join(timeout=3.0)
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with provider._prefetch_lock:
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provider._prefetch_result = ""
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provider._prefetch_result_fired_at = -999
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provider._prefetch_thread = None
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provider._prefetch_thread_started_at = 0.0
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provider._last_dialectic_turn = -999
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provider._dialectic_empty_streak = 0
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if getattr(provider, "_manager", None) is not None:
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try:
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provider._manager.dialectic_query.reset_mock()
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@ -1227,26 +1230,28 @@ class TestDialecticCadenceAdvancesOnSuccess:
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def test_in_flight_thread_is_not_stacked(self):
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import threading as _threading
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import time as _time
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provider = self._make_provider()
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provider._session_key = "test"
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provider._turn_count = 10
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provider._last_dialectic_turn = 0
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# Simulate a prior thread still running
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# Simulate a prior thread still running (fresh, not stale)
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hold = _threading.Event()
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def _block():
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hold.wait(timeout=5.0)
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stale = _threading.Thread(target=_block, daemon=True)
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stale.start()
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provider._prefetch_thread = stale
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fresh = _threading.Thread(target=_block, daemon=True)
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fresh.start()
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provider._prefetch_thread = fresh
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provider._prefetch_thread_started_at = _time.monotonic() # fresh start
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provider.queue_prefetch("hello")
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# Should have short-circuited — no new dialectic call
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assert provider._manager.dialectic_query.call_count == 0
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hold.set()
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stale.join(timeout=2.0)
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fresh.join(timeout=2.0)
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class TestSessionStartDialecticPrewarm:
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@ -1321,6 +1326,147 @@ class TestSessionStartDialecticPrewarm:
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assert p._manager.dialectic_query.call_count == 1
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class TestDialecticLiveness:
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"""Liveness + observability: stale-thread recovery, stale-result discard,
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empty-streak backoff, and the snapshot method used for diagnostics."""
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@staticmethod
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def _make_provider(cfg_extra=None):
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from unittest.mock import patch, MagicMock
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from plugins.memory.honcho.client import HonchoClientConfig
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defaults = dict(api_key="test-key", enabled=True, recall_mode="hybrid", timeout=2.0)
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if cfg_extra:
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defaults.update(cfg_extra)
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cfg = HonchoClientConfig(**defaults)
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provider = HonchoMemoryProvider()
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mock_manager = MagicMock()
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mock_manager.get_or_create.return_value = MagicMock(messages=[])
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mock_manager.get_prefetch_context.return_value = None
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mock_manager.pop_context_result.return_value = None
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mock_manager.dialectic_query.return_value = "" # default: silent
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with patch("plugins.memory.honcho.client.HonchoClientConfig.from_global_config", return_value=cfg), \
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patch("plugins.memory.honcho.client.get_honcho_client", return_value=MagicMock()), \
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patch("plugins.memory.honcho.session.HonchoSessionManager", return_value=mock_manager), \
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patch("hermes_constants.get_hermes_home", return_value=MagicMock()):
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provider.initialize(session_id="test-liveness")
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_settle_prewarm(provider)
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return provider
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def test_stale_thread_is_treated_as_dead(self):
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"""A thread older than timeout × multiplier no longer blocks new fires."""
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import threading as _threading
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p = self._make_provider()
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p._session_key = "test"
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p._turn_count = 10
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p._last_dialectic_turn = 0
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p._manager.dialectic_query.return_value = "fresh synthesis"
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# Plant an alive thread with an old timestamp (stale)
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hold = _threading.Event()
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stuck = _threading.Thread(target=lambda: hold.wait(timeout=10.0), daemon=True)
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stuck.start()
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p._prefetch_thread = stuck
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# timeout=2.0, multiplier=2.0, so anything older than 4s is stale
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p._prefetch_thread_started_at = 0.0 # very old (1970 monotonic baseline)
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p.queue_prefetch("hello")
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# New thread should have been spawned since stuck one is stale
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assert p._prefetch_thread is not stuck, "stale thread must be recycled"
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if p._prefetch_thread:
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p._prefetch_thread.join(timeout=2.0)
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assert p._manager.dialectic_query.call_count == 1
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hold.set()
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stuck.join(timeout=2.0)
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def test_stale_pending_result_is_discarded_on_read(self):
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"""A pending dialectic result from many turns ago is discarded
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instead of injected against a fresh conversational pivot."""
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p = self._make_provider(cfg_extra={"raw": {"dialecticCadence": 2}})
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p._session_key = "test"
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p._base_context_cache = "base ctx"
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with p._prefetch_lock:
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p._prefetch_result = "ancient synthesis"
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p._prefetch_result_fired_at = 1
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# cadence=2, multiplier=2 → stale after 4 turns since fire
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p._turn_count = 10
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p._last_dialectic_turn = 1 # prevents sync first-turn path
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result = p.prefetch("what's new")
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assert "ancient synthesis" not in result, "stale pending must be discarded"
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# Cache slot cleared
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with p._prefetch_lock:
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assert p._prefetch_result == ""
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assert p._prefetch_result_fired_at == -999
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def test_fresh_pending_result_is_kept(self):
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"""A pending result within the staleness window is injected normally."""
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p = self._make_provider(cfg_extra={"raw": {"dialecticCadence": 3}})
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p._session_key = "test"
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p._base_context_cache = ""
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with p._prefetch_lock:
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p._prefetch_result = "recent synthesis"
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p._prefetch_result_fired_at = 8
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p._turn_count = 9 # 1 turn since fire, well within cadence × 2 = 6
|
||||
p._last_dialectic_turn = 8
|
||||
|
||||
result = p.prefetch("what's new")
|
||||
assert "recent synthesis" in result
|
||||
|
||||
def test_empty_streak_widens_effective_cadence(self):
|
||||
"""After N empty returns, the gate waits cadence + N turns."""
|
||||
p = self._make_provider(cfg_extra={"raw": {"dialecticCadence": 1}})
|
||||
p._dialectic_empty_streak = 3
|
||||
# cadence=1, streak=3 → effective = 4
|
||||
assert p._effective_cadence() == 4
|
||||
|
||||
def test_backoff_is_capped(self):
|
||||
"""Effective cadence is capped at cadence × _BACKOFF_MAX."""
|
||||
p = self._make_provider(cfg_extra={"raw": {"dialecticCadence": 2}})
|
||||
p._dialectic_empty_streak = 100
|
||||
# cadence=2, ceiling = 2 × 8 = 16
|
||||
assert p._effective_cadence() == 16
|
||||
|
||||
def test_success_resets_empty_streak(self):
|
||||
"""A non-empty result zeroes the streak so healthy operation restores
|
||||
the base cadence immediately."""
|
||||
p = self._make_provider(cfg_extra={"raw": {"dialecticCadence": 1}})
|
||||
p._session_key = "test"
|
||||
p._dialectic_empty_streak = 5
|
||||
p._turn_count = 10
|
||||
p._last_dialectic_turn = 0
|
||||
p._manager.dialectic_query.return_value = "real output"
|
||||
|
||||
p.queue_prefetch("hello")
|
||||
if p._prefetch_thread:
|
||||
p._prefetch_thread.join(timeout=2.0)
|
||||
assert p._dialectic_empty_streak == 0
|
||||
assert p._last_dialectic_turn == 10
|
||||
|
||||
def test_empty_result_increments_streak(self):
|
||||
p = self._make_provider(cfg_extra={"raw": {"dialecticCadence": 1}})
|
||||
p._session_key = "test"
|
||||
p._turn_count = 5
|
||||
p._last_dialectic_turn = 0
|
||||
p._manager.dialectic_query.return_value = "" # empty
|
||||
|
||||
p.queue_prefetch("hello")
|
||||
if p._prefetch_thread:
|
||||
p._prefetch_thread.join(timeout=2.0)
|
||||
assert p._dialectic_empty_streak == 1
|
||||
assert p._last_dialectic_turn == 0 # cadence not advanced
|
||||
|
||||
def test_liveness_snapshot_shape(self):
|
||||
p = self._make_provider()
|
||||
snap = p.liveness_snapshot()
|
||||
for key in (
|
||||
"turn_count", "last_dialectic_turn", "pending_result_fired_at",
|
||||
"empty_streak", "effective_cadence", "thread_alive", "thread_age_seconds",
|
||||
):
|
||||
assert key in snap
|
||||
|
||||
|
||||
class TestDialecticLifecycleSmoke:
|
||||
"""End-to-end smoke walking a multi-turn session through prewarm,
|
||||
turn 1 consume, trivial skip, cadence fire, empty-result retry,
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue