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fix(codex-spark): defensive 128k entry in DEFAULT_CONTEXT_LENGTHS + clarify validation test docstring
Two follow-ups from self-review: 1. Add gpt-5.3-codex-spark to DEFAULT_CONTEXT_LENGTHS at 128k. The primary resolution path for Spark goes through provider='openai-codex' → _CODEX_OAUTH_CONTEXT_FALLBACK (already correct). But if any future code path resolves Spark's context with a different provider (custom proxy, generic fallthrough), the longest-substring-first lookup in step 8 would match 'gpt-5' and report 400k, which is wrong by ~3x. Adding the explicit override is a cheap defensive correctness fix matching how gpt-5.4-mini and gpt-5.4-nano already shadow the generic gpt-5 entry. 2. Update test_openai_codex_model_validation_fallback.py docstring. The bug it was originally written for (gpt-5.3-codex-spark missing from listing) is now resolved by this PR's catalog restoration. The test still validly exercises the soft-accept code path for any future entitlement-gated Codex slug that ships before Hermes catalogs it, but the framing was stale — clarified.
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2 changed files with 19 additions and 3 deletions
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@ -157,6 +157,13 @@ DEFAULT_CONTEXT_LENGTHS = {
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"gpt-5.4-nano": 400000, # 400k (not 1.05M like full 5.4)
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"gpt-5.4-mini": 400000, # 400k (not 1.05M like full 5.4)
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"gpt-5.4": 1050000, # GPT-5.4, GPT-5.4 Pro (1.05M context)
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# gpt-5.3-codex-spark is Codex-OAuth-only (ChatGPT Pro entitlement) and
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# uses a smaller 128k window than other gpt-5.x slugs. Listed here as
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# a defensive override so the longest-substring fallback doesn't match
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# the generic "gpt-5" entry below (400k) and report the wrong limit if
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# Spark's context ever needs to be resolved through this path. Real
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# usage flows through _CODEX_OAUTH_CONTEXT_FALLBACK at line ~1113.
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"gpt-5.3-codex-spark": 128000,
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"gpt-5.1-chat": 128000, # Chat variant has 128k context
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"gpt-5": 400000, # GPT-5.x base, mini, codex variants (400k)
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"gpt-4.1": 1047576,
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