fix(compression): notify users when configured aux model fails even if main-model fallback recovers (#16775)
A misconfigured auxiliary.compression.model is a user-fixable problem that silent recovery would hide. The previous retry-on-main logic transparently swallowed aux-model failures whenever the fallback succeeded, leaving the user's broken config in place and racking up future failures.
Track the aux-model failure on the compressor alongside the existing fallback-placeholder fields:
- _last_aux_model_failure_model: str | None
- _last_aux_model_failure_error: str | None
Both are set at the moment the aux model errors (captured before summary_model is cleared for retry), regardless of whether the retry succeeds. Cleared at compress() start and on on_session_reset() so a clean run doesn't leak stale warnings.
Surface at three places:
- gateway hygiene auto-compress: ℹ note to the platform adapter (thread_id preserved)
- gateway /compress command: ℹ line appended to the reply
- CLI via _emit_warning: deduped on (model, error) so repeat compactions don't spam
Distinct from the existing ⚠️ dropped-turns warning — different severity, different emoji, explicit 'context is intact' reassurance.
This commit is contained in:
@@ -340,6 +340,8 @@ class ContextCompressor(ContextEngine):
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self._last_summary_error = None
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self._last_summary_dropped_count = 0
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self._last_summary_fallback_used = False
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self._last_aux_model_failure_error = None
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self._last_aux_model_failure_model = None
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self._last_compression_savings_pct = 100.0
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self._ineffective_compression_count = 0
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@@ -448,6 +450,12 @@ class ContextCompressor(ContextEngine):
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# (gateway hygiene, /compress) can surface a visible warning.
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self._last_summary_dropped_count: int = 0
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self._last_summary_fallback_used: bool = False
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# When a user-configured summary model fails and we recover by
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# retrying on the main model, record the failure so gateway /
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# CLI callers can still warn the user even though compression
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# succeeded. Silent recovery would hide the broken config.
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self._last_aux_model_failure_error: Optional[str] = None
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self._last_aux_model_failure_model: Optional[str] = None
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def update_from_response(self, usage: Dict[str, Any]):
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"""Update tracked token usage from API response."""
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@@ -907,6 +915,14 @@ The user has requested that this compaction PRIORITISE preserving all informatio
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"Falling back to main model '%s' for compression.",
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self.summary_model, e, self.model,
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)
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# Record the aux-model failure so callers can warn the user
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# even if the retry-on-main succeeds — a misconfigured aux
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# model is something the user needs to fix.
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_err_text = str(e).strip() or e.__class__.__name__
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if len(_err_text) > 220:
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_err_text = _err_text[:217].rstrip() + "..."
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self._last_aux_model_failure_error = _err_text
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self._last_aux_model_failure_model = self.summary_model
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self.summary_model = "" # empty = use main model
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self._summary_failure_cooldown_until = 0.0 # no cooldown
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return self._generate_summary(turns_to_summarize, focus_topic=focus_topic) # retry immediately
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@@ -931,6 +947,14 @@ The user has requested that this compaction PRIORITISE preserving all informatio
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"Retrying on main model '%s' before giving up.",
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self.summary_model, e, self.model,
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)
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# Record the aux-model failure (see 404 branch above) — user
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# should know their configured model is broken even if main
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# recovers the call.
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_err_text = str(e).strip() or e.__class__.__name__
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if len(_err_text) > 220:
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_err_text = _err_text[:217].rstrip() + "..."
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self._last_aux_model_failure_error = _err_text
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self._last_aux_model_failure_model = self.summary_model
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self.summary_model = "" # empty = use main model
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self._summary_failure_cooldown_until = 0.0
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return self._generate_summary(turns_to_summarize, focus_topic=focus_topic)
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@@ -1232,6 +1256,8 @@ The user has requested that this compaction PRIORITISE preserving all informatio
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self._last_summary_dropped_count = 0
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self._last_summary_fallback_used = False
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self._last_summary_error = None
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self._last_aux_model_failure_error = None
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self._last_aux_model_failure_model = None
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n_messages = len(messages)
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# Only need head + 3 tail messages minimum (token budget decides the real tail size)
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_min_for_compress = self.protect_first_n + 3 + 1
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