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fix: allow custom endpoint users to use main model for auxiliary tasks

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Step 1 of _resolve_auto() explicitly excluded 'custom' providers,
forcing custom endpoint users through the fragile fallback chain
instead of using their known-working main model credentials.

This caused silent compression failures for users on local OpenAI-
compatible endpoints — the summary generation would fail, middle
turns would be silently dropped, and the agent would lose all
conversation context.

Remove 'custom' from the exclusion list so custom endpoint users
get the same main-model-first treatment as DeepSeek, Anthropic,
Gemini, and other direct providers.
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Teknium 2026-04-09 13:23:43 -07:00
parent c6dba918b3
commit c6974fd108
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agent/auxiliary_client.py
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@ -1137,7 +1137,7 @@ def _resolve_auto() -> Tuple[Optional[OpenAI], Optional[str]]:
main_model = _read_main_model()
if (main_provider and main_model
and main_provider not in _AGGREGATOR_PROVIDERS
and main_provider not in ("auto", "custom", "")):
and main_provider not in ("auto", "")):
client, resolved = resolve_provider_client(main_provider, main_model)
if client is not None:
logger.info("Auxiliary auto-detect: using main provider %s (%s)",