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feat(radar): show the rate limits and training disclosure the feed already sends - #12320
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diegosouzapw merged 1 commit intoSep 1, 2026
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… + stream gates Docs cheaper-inference#12320 added radarPage.colLimits / trainsOnPrompts / trainsOnPromptsHelp as __MISSING__ in 42 locales but never added the EN source. That broke two gates: i18n-missing-placeholder-fallback (cheaper-inference#7258, "__MISSING__ after EN fallback") and settings-i18n-keys ("direct translation calls have English messages"). Add the three EN keys (values are the sentinels' English text). cheaper-inference#12151 changed passthrough to estimate usage on finish without usage when content exists and to drop the trailing choices:[] valid usage once estimated. tests/unit/stream-utils "forwards OpenAI usage-only empty choices chunks" still expected the old forward. Update it to assert estimated:true and no choices:[] (same tradeoff documented in stream-passthrough-usage-estimation). Also drops the dead collectSSE helper in stream-passthrough-usage- estimation.test.ts (3 unused identifiers) that reds No new ESLint warnings — same as already-merged fix/release-v3.8.51-eslint-unused- collectsse. Reproduced on pure tip 438db55: 4 RED (ESLint, i18n-missing-fallback, settings-i18n-keys, stream-utils ×2 via TIA + shard 4/4). After: 4 suites pass locally (i18n-missing, settings-i18n-keys, stream- passthrough, stream-utils 40/40).
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…e regression + radarPage i18n keys (#12327) * fix(sse): forward the upstream's real trailing usage in passthrough; estimate only at flush #12151 injected estimated usage into the finish chunk and dropped the real trailing usage block that genuine OpenAI upstreams send afterwards — metered clients got estimates instead of real token counts. The estimate now leaves via a canonical usage-only chunk at flush, only when the upstream stayed silent; a real trailing block is forwarded verbatim and wins. The tool_calls finish_reason normalization now materializes its own rewrite (it piggybacked on the removed finish-time rewrite), and the dead collectSSE helper goes with it (subsumes #12324). * fix(i18n): seed the radarPage limits/training keys the #12320 UI already consumes RadarCatalogTable.tsx references radarPage.colLimits / trainsOnPrompts / trainsOnPromptsHelp but #12320 never added them to en.json, so the EN fallback could not resolve the __MISSING__ markers across 42 locales. Real translations for pt-BR and vi; the rest resolve via the EN fallback. * fix(sse): carry the chat stream id into flush-time synthetic chunks The estimated usage-only chunk emitted at flush used passthroughResponsesId, which is only ever set on the Responses path — on the chat path the synthetic chunk shipped id: null, breaking the string-id invariant pinned by stream-numeric-ids.test.ts. Track the upstream chat-completion id in the passthrough loop and reuse it (falling back to the Responses id, then a generated one). Sibling sweep: 74 files importing utils/stream — 603/603.
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…ready sends (cheaper-inference#12320) The Radar feed reports per-model rate limits and whether a provider says it may train on your prompts. Both fields are on RadarMergedEntry and the catalog table rendered neither — grep them in RadarCatalogTable.tsx and the only hits were the type declaration. The training flag is the one that stings: freeModelCatalog.ts documents it as "Surfaced in the UI", a promise the UI did not keep, and thirteen catalog entries carry it today. Adds a Rate limits column and a badge in the ToS cell when a provider discloses training. No new data, no request, no API change. Two judgement calls worth keeping: a limit of zero renders as 0/min rather than formatTokens' "rate-only" (right for a monthly budget, nonsense for a ceiling where zero is a real and alarming fact), and the badge condition is === true, since an absent training statement is not a guarantee. Validation note — read before trusting the green: this PR's own suite (tests/unit/dashboard/radar-catalog-table-limits-training.test.tsx, 14 cases) could NOT be run locally. Vitest fails to resolve react18-json-view, which is declared in package.json and package-lock.json but is not present in this machine's node_modules; two pre-existing .test.tsx files in the same directory fail identically, so the cause is environmental and not this PR. The blocking test-vitest CI job runs npm ci and will execute it. What was verified locally, in a combined batch worktree with all 11 PRs of this batch: 174/174 node-runner focused tests, typecheck:core clean, complexity 2706/3218, cognitive-complexity 1221/1437, check:cycles and check:docs-counts green, plus both CI i18n gates for the 42-locale pass — check-ui-keys-coverage PASS (all 42 locales at or above 65%) and check-ui-value-drift PASS against the release tip. Thanks @maxmad64bis.
muhamadgalihsaputra
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…e regression + radarPage i18n keys (cheaper-inference#12327) * fix(sse): forward the upstream's real trailing usage in passthrough; estimate only at flush cheaper-inference#12151 injected estimated usage into the finish chunk and dropped the real trailing usage block that genuine OpenAI upstreams send afterwards — metered clients got estimates instead of real token counts. The estimate now leaves via a canonical usage-only chunk at flush, only when the upstream stayed silent; a real trailing block is forwarded verbatim and wins. The tool_calls finish_reason normalization now materializes its own rewrite (it piggybacked on the removed finish-time rewrite), and the dead collectSSE helper goes with it (subsumes cheaper-inference#12324). * fix(i18n): seed the radarPage limits/training keys the cheaper-inference#12320 UI already consumes RadarCatalogTable.tsx references radarPage.colLimits / trainsOnPrompts / trainsOnPromptsHelp but cheaper-inference#12320 never added them to en.json, so the EN fallback could not resolve the __MISSING__ markers across 42 locales. Real translations for pt-BR and vi; the rest resolve via the EN fallback. * fix(sse): carry the chat stream id into flush-time synthetic chunks The estimated usage-only chunk emitted at flush used passthroughResponsesId, which is only ever set on the Responses path — on the chat path the synthetic chunk shipped id: null, breaking the string-id invariant pinned by stream-numeric-ids.test.ts. Track the upstream chat-completion id in the passthrough loop and reuse it (falling back to the Responses id, then a generated one). Sibling sweep: 74 files importing utils/stream — 603/603.
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Summary
The Radar feed reports per-model rate limits and whether a provider says it may train on your prompts. The catalog table renders neither. Both fields are on
RadarMergedEntry; grep them inRadarCatalogTable.tsxand the only hits are the type declaration.The training flag is the one that stings.
freeModelCatalog.tsdocuments it as "Provider states it may train on user prompts. Surfaced in the UI so the..." — a promise the UI doesn't keep. Thirteen catalog entries carry it today.So: a Rate limits column, and a badge in the ToS cell when a provider discloses training. No new data, no request, no API change.
Two decisions in there. A limit of zero renders as
0/min, notrate-only:formatTokensmaps0to"rate-only", which is right for a monthly budget and nonsense for a ceiling, where zero is a real and alarming fact. And a model with no training statement gets no badge, with the tooltip saying why — models without it either state they don't train, or don't document it. An absent statement isn't a guarantee, so the check is=== true.The cost of this one is the i18n pass: three English keys plus the sentinel in forty-two locales.
Related Issues
Validation
npm run lintRed first: drop the badge condition and the flag test fails;
formatLimitsdidn't exist, so its cases couldn't compile. After, 14/14.i18n gates:
check-ui-coveragePASS,check-glossaryPASS, andcheck-value-driftPASS withBASE_REF=upstream/release/v3.8.51— without that variable it resolves nothing and its green means nothing.npm run lintexits 2 here and on an untouched checkout of the base alike (suppressions left that do not occur anymore, zero reported errors).Tests Added Or Updated
tests/unit/dashboard/radar-catalog-table-limits-training.test.tsx(new, 14 cases)Coverage Notes
Two exported pure formatters and two render sites. The formatters are covered directly — every combination of present and absent limits, zero, locale-independence of the compaction, and non-numeric input. The badge is covered by rendering the table and finding the element rather than looking for a substring: the
next-intlmock returns a distinguishable string, so a stray key elsewhere in the DOM can't make the test pass for the wrong reason. One case asserts every row has as many cells as the header has columns.Reviewer Notes
__MISSING__sentinels, matching whati18n:sync-uiproduces. I inserted only those three rather than running the script: a full run would also sweep in seven unrelatedkilo*keys per locale already missing on the base — 274 extra lines belonging to whichever PR added them.compactCountguards non-finite and negative input. The feed is JSON off the network, so the declarednumberis a hope; without the guard a bad value renders asInfinityMorNaN/min.