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When an auxiliary LLM provider (or an upstream proxy) returns a non-JSON body with `Content-Type: application/json` — e.g. an HTML 502 page from a misconfigured gateway — the OpenAI SDK's `response.json()` raises a raw `json.JSONDecodeError` (or wraps it in `APIResponseValidationError` whose message contains "expecting value"). Previously this fell through to the unknown-error branch and entered a 60s cooldown without retrying on the main model, dropping the middle conversation turns instead. This change folds JSON-decode detection into the existing fast-path fallback chain: detect by `isinstance(e, JSONDecodeError)` OR substring match for "expecting value", retry once on the main model, and use a shorter 30s cooldown when already on main (the body shape tends to flip back to valid quickly when the upstream proxy recovers). The three duplicated fallback bodies (model-not-found, unknown-error, JSON-decode) are consolidated into a single `_fallback_to_main_for_compression` helper that handles the shared bookkeeping (record aux-model failure for `/usage`-style callers, clear summary_model, clear cooldown). Also adds three unit tests covering: raw `JSONDecodeError` retries on main, substring-match for wrapped exceptions, and the 30s cooldown when already on main. Salvage of #22248 by @0xharryriddle. Closes #22244. Co-authored-by: Harry Riddle <ntconguit@gmail.com>
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2 changed files with 161 additions and 35 deletions
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@ -763,6 +763,33 @@ class ContextCompressor(ContextEngine):
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return "\n\n".join(parts)
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def _fallback_to_main_for_compression(self, e: Exception, reason: str) -> None:
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"""Switch from a separate ``summary_model`` back to the main model.
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Centralises the bookkeeping shared by every fallback branch in
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:meth:`_generate_summary` (model-not-found, timeout, JSON decode,
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unknown error): record the aux-model failure for ``/usage``-style
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callers, clear the summary model so the next call uses the main one,
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and clear the cooldown so the immediate retry can run.
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``reason`` is a short human-readable phrase ("unavailable",
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"timed out", "returned invalid JSON", "failed") that is interpolated
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into the warning log.
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"""
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self._summary_model_fallen_back = True
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logging.warning(
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"Summary model '%s' %s (%s). "
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"Falling back to main model '%s' for compression.",
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self.summary_model, reason, e, self.model,
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)
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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 — retry immediately
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def _generate_summary(self, turns_to_summarize: List[Dict[str, Any]], focus_topic: str = None) -> Optional[str]:
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"""Generate a structured summary of conversation turns.
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@ -961,28 +988,42 @@ The user has requested that this compaction PRIORITISE preserving all informatio
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_status in (408, 429, 502, 504)
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or "timeout" in _err_str
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)
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# Non-JSON / malformed-body responses from misconfigured providers
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# or proxies (e.g. an HTML 502 page returned with
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# ``Content-Type: application/json``) bubble up as
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# ``json.JSONDecodeError`` from the OpenAI SDK's ``response.json()``,
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# or as a wrapping ``APIResponseValidationError`` whose message
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# carries the substring "expecting value". Treat these like a
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# transient provider failure: one retry on the main model, then a
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# short cooldown. Issue #22244.
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_is_json_decode = (
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isinstance(e, json.JSONDecodeError)
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or "expecting value" in _err_str
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)
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if _is_json_decode and not _is_model_not_found and not _is_timeout:
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logger.error(
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"Context compression failed: auxiliary LLM returned a "
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"non-JSON response. provider=%s summary_model=%s "
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"main_model=%s base_url=%s err=%s",
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self.provider or "auto",
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self.summary_model or "(main)",
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self.model,
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self.base_url or "default",
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e,
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)
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if (
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(_is_model_not_found or _is_timeout)
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(_is_model_not_found or _is_timeout or _is_json_decode)
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and self.summary_model
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and self.summary_model != self.model
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and not getattr(self, "_summary_model_fallen_back", False)
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):
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self._summary_model_fallen_back = True
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logging.warning(
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"Summary model '%s' unavailable (%s). "
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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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if _is_json_decode:
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_reason = "returned invalid JSON"
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elif _is_model_not_found:
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_reason = "unavailable"
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else:
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_reason = "timed out"
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self._fallback_to_main_for_compression(e, _reason)
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return self._generate_summary(turns_to_summarize, focus_topic=focus_topic) # retry immediately
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# Unknown-error best-effort retry on main model. Losing N turns of
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@ -999,26 +1040,13 @@ The user has requested that this compaction PRIORITISE preserving all informatio
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and self.summary_model != self.model
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and not getattr(self, "_summary_model_fallen_back", False)
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):
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self._summary_model_fallen_back = True
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logging.warning(
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"Summary model '%s' failed (%s). "
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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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self._fallback_to_main_for_compression(e, "failed")
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return self._generate_summary(turns_to_summarize, focus_topic=focus_topic)
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# Transient errors (timeout, rate limit, network) — shorter cooldown
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_transient_cooldown = 60
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# Transient errors (timeout, rate limit, network, JSON decode) —
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# shorter cooldown for JSON decode since the body shape can flip
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# back to valid quickly when an upstream proxy recovers.
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_transient_cooldown = 30 if _is_json_decode else 60
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self._summary_failure_cooldown_until = time.monotonic() + _transient_cooldown
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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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