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* ✨ feat: Add GPT-5.6 (Sol/Terra/Luna) OpenAI models Adds the GPT-5.6 family (GA 2026-07-09) across the context, output, pricing, cache, premium, and default-model maps, mirroring gpt-5.5. - gpt-5.6 (Sol alias), gpt-5.6-terra, gpt-5.6-luna - 1.05M context / 128K output for all tiers - Standard + long-context (>272K input) tiered pricing and cache rates * 🐛 fix: Bill GPT-5.6 cache writes at documented 1.25x input surcharge OpenAI prices GPT-5.6 cache writes above the base input rate (Sol $6.25, Terra $3.125, Luna $1.25 per 1M vs $5/$2.50/$1 input). Correct the cacheTokenValues write rates so explicit prompt-caching usage is billed and reported accurately, and lock the surcharge with a test. * ✨ feat: Expose GPT-5.6 max reasoning effort + long-context cache premium Folds in the two deferred Codex findings: 1. Add `max` to the OpenAI `ReasoningEffort` enum and the reasoning_effort parameter options/labels so GPT-5.6 (Sol/Terra/Luna) can request its documented highest reasoning setting. Backend passthrough and zod validation pick it up via the nativeEnum schema. 2. Apply the long-context (>272K input) premium to cache tokens. Adds `premiumCacheTokenValues` + `getPremiumCacheRate`, threads `inputTokenCount` into `getCacheMultiplier`, and wires it through both structured-spend paths. Covers the gpt-5.4/5.5/5.6 family whose cache write/read previously stayed at flat base rates on long-context calls. * 🐛 fix: Bill GPT-5.6 cache writes + map max effort for OpenRouter Claude Addresses Codex round-3 findings: 1. (P1) splitUsage only read `cache_creation`/`cache_creation_input_tokens`, so OpenAI GPT-5.6's `cache_write_tokens` fell into inputOnly and billed at the input rate instead of the 1.25x write rate. Extend UsageMetadata and single-source the cache-creation read to also recognize `cache_write_tokens` (nested and top-level). 2. (P2) `max` was exposed via OpenRouter (spreads OpenAI settings) but the adaptive-Claude verbosity map had no `max`, so it was silently dropped. Map max -> 'max' verbosity. * 🐛 fix: Forward GPT-5.6 cache_write_tokens into emitted usage Local Codex review (P1): the cache-write fix reached balance billing (splitUsage/getCacheCreationTokens) but not the emitted-usage pipeline. ModelEndHandler built the emitted event's cache_creation from only cache_creation/cache_creation_input_tokens, so GPT-5.6 cache_write_tokens were dropped and aggregateEmittedUsage classified them as ordinary input — displayed/persisted cost undercounted and disagreed with the balance charge. Fold cache_write_tokens (nested + top-level) into the emitted cache_creation. |
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| .. | ||
| __tests__ | ||
| callbacks.js | ||
| client.js | ||
| client.test.js | ||
| errors.js | ||
| filterAuthorizedTools.spec.js | ||
| openai.js | ||
| recordCollectedUsage.spec.js | ||
| request.js | ||
| responses.js | ||
| resume.js | ||
| v1.js | ||
| v1.spec.js | ||