From 936845c232de530034f402b744ca14e9bf8d96cf Mon Sep 17 00:00:00 2001 From: merefield Date: Mon, 12 Oct 2026 11:34:19 +0100 Subject: [PATCH 1/2] Price exact Codex responses and explain quota accounting failures --- README.md | 58 +++-- internal/codex/benchmark.go | 56 +++- internal/codex/benchmark_test.go | 39 ++- internal/codex/digbench.go | 9 +- internal/codex/live_usage.go | 113 +++++++- internal/codex/live_usage_accounting_test.go | 2 +- internal/codex/live_usage_exact.go | 203 +++++++++++++++ internal/codex/live_usage_exact_test.go | 241 ++++++++++++++++++ internal/codex/service_tier.go | 44 +++- internal/codex/service_tier_test.go | 29 ++- internal/codex/usage_diagnostics.go | 78 ++++++ internal/ui/benchmark_quota.go | 137 ++++++++-- internal/ui/benchmark_quota_test.go | 37 ++- internal/ui/english_snapshot_test.go | 4 +- internal/ui/model.go | 5 +- internal/ui/quota_api_eq.go | 81 +++++- internal/ui/quota_api_eq_test.go | 60 +++++ internal/ui/view.go | 3 + .../{index-Bd-Jwk4i.js => index-BWH3mrUB.js} | 55 ++-- internal/web/dist/assets/index-Bjr_1drg.css | 1 + internal/web/dist/assets/index-GcuOkuuL.css | 1 - internal/web/dist/index.html | 4 +- internal/web/state.go | 11 + internal/web/usage_diagnostics_test.go | 25 ++ web/src/Quota.svelte | 14 + web/src/state.svelte.ts | 1 + web/tests/browser.spec.ts | 47 ++++ 27 files changed, 1238 insertions(+), 120 deletions(-) create mode 100644 internal/codex/live_usage_exact.go create mode 100644 internal/codex/live_usage_exact_test.go create mode 100644 internal/codex/usage_diagnostics.go rename internal/web/dist/assets/{index-Bd-Jwk4i.js => index-BWH3mrUB.js} (77%) create mode 100644 internal/web/dist/assets/index-Bjr_1drg.css delete mode 100644 internal/web/dist/assets/index-GcuOkuuL.css create mode 100644 internal/web/usage_diagnostics_test.go diff --git a/README.md b/README.md index 2376a27..6bc4e89 100644 --- a/README.md +++ b/README.md @@ -706,17 +706,17 @@ narrower question: “At published API text-token prices, roughly what would this observed mix of model work cost when mapped onto the movement in my quota meter?” -#### Fast mode and service-tier uncertainty +#### Service tiers and pricing uncertainty Codexometer prices each newly observed response separately. Standard token cost -and the requested-tier premium are maintained independently; quota learning uses +and the signed requested-tier adjustment are maintained independently; quota learning uses their sum. For example, $1 at standard prices plus a $1 Fast premium over **5 percentage points** of quota movement implies roughly **$40 per 100%**, compared with **$20 at standard prices**. It never multiplies the observed quota percentage or applies today's `/fast` setting retroactively. - `TIER*` means the estimate includes a **requested**, not billing-confirmed, - Fast premium. The current Codex sources expose persisted + tier adjustment (a premium for Fast/Ultrafast or a discount for Flex). The current Codex sources expose persisted `thread_settings_applied` settings, but neither local token events nor the shared app-server's response-usage notifications expose the actual billed tier. Settings are kept per session and captured for each turn; an in-flight turn @@ -736,13 +736,17 @@ or applies today's `/fast` setting retroactively. comparison** for the same sample windows. Narrower layouts omit that comparison. - A known default setting has no premium. An explicitly unsupported tier/model combination is unpriced and interrupts clean learning rather than silently - applying an invented multiplier. Standard benchmark rankings are unchanged. + applying an invented multiplier. Benchmark comparisons continue to use Standard rates. -Fast pricing was updated on **30 September 2026**: **GPT-6.1 Sol, GPT-6 (Astra, Sol, Luna) and GPT-5.6 +Tier pricing was reviewed on **12 October 2026**: **GPT-6.1 Sol, GPT-6 (Astra, Sol, Luna) and GPT-5.6 (Sol, Terra, Luna)** use **2× applicable standard API prices** for `fast` / the -legacy `priority` alias. The premium is applied after the existing per-response -long-context and cache-read/cache-write calculations; reasoning output is not -counted twice. Other models' Fast prices are not yet maintained. See the official +legacy `priority` alias. Astra and GPT-6.1 Sol **Ultrafast** use **6×** applicable standard API prices. +**Flex** uses **½×** on the maintained GPT-6/GPT-5.6 models, GPT-5.2 and GPT-5.5. +GPT-5.2 fallback pricing and published short-context Fast rates for GPT-5.2, +GPT-5.3 Codex, GPT-5.4/Mini and GPT-5.5 are also maintained; GPT-5.5 Fast is 2.5×. +Other explicit model/tier combinations and unpublished long-context Fast rates +remain unavailable. Adjustments follow per-response long-context and cache +calculations; reasoning output is not counted twice. See the official [Astra pricing](https://developers.openai.com/api/docs/models/gpt-6-astra), [Codex speed guidance](https://learn.chatgpt.com/docs/agent-configuration/speed), and [API Fast-mode guide](https://developers.openai.com/api/docs/guides/fast-mode). @@ -758,9 +762,21 @@ new evidence accumulates. Future improvement: consume the actual response `service_tier` if Codex exposes it with matching per-response token usage, then prefer that evidence to requested settings. -Codexometer normally prices each newly completed local model call using the -requested model durably recorded in its turn context. Current Codex rollout -files do not persist transient model-reroute events, so a reroute cannot be +Codexometer prefers Codex's durable **`token_usage_record`** entries for each +newly completed response. Exact records are counted independently of cumulative +context counters, with bounded response-ID deduplication; inherited parent +records are excluded from a child's own usage. Startup establishes a historical +baseline without charging past responses, using a bounded 4 MiB tail scan. +An exact record switches that rollout to response accounting: subsequent +`token_count` snapshots remain context/attribution baselines and never create +another billable response. Older rollouts retain the legacy token-count reader. A replacement rollout for +an existing thread establishes a new baseline rather than charging copied +history again; session settings come from its newest observed rollout. + +The requested model remains the fallback when actual per-response model evidence +is unavailable; durable usage records do not supply model or billed-tier fields. +Diagnostics explicitly distinguish requested-model attribution from a matching +live reroute. Current Codex rollout files do not persist transient model-reroute events, so a reroute cannot be reconstructed from that source alone. When Codexometer and the CLI share the managed daemon described above, Codexometer keeps a live subscription and matches reroute and token-usage events to rollout calls by thread ID, turn ID, @@ -779,7 +795,7 @@ cache-write input, and output are priced separately; requests above the published 272,000-input-token threshold use the corresponding long-context rates where OpenAI publishes them. Unknown models or missing price classes fail closed as `UNPRICED USAGE` rather than being guessed or treated as free. -Codex's context-window bookkeeping updates are recognised only when the window +In the legacy reader, Codex's context-window bookkeeping updates are recognised only when the window and both complete, explicit zero-token-class breakdowns match its synthetic fill record. They rebase the local counter without adding response costs, token totals or model-call graph pulses. Quota learning restarts as `LOCAL ACCOUNTING REBASED`. @@ -788,20 +804,32 @@ the current baseline, including inherited child history and historical scans. Missing input/output usage and inconsistent response/cumulative usage instead restart as `MISSING RESPONSE USAGE` or `INCONSISTENT RESPONSE USAGE`; no costs are guessed. Unknown model/tier or unavailable pricing remains `UNPRICED USAGE`. +The terminal Quota view retains a bounded issue panel with the reason, originating +session (including a child agent), model and its attribution basis, requested tier, +effort, response/legacy/benchmark source, response ID and timestamp. The panel +fits available terminal space; the browser Quota view shows the latest observed +issue with wrapping. Diagnostics retain accounting metadata, not prompt/reply +content, and are not persisted. A prior issue cannot be assigned to a later +learning restart. Reserve (`gpt-reserve`), custom/preview and provider-specific +model IDs stay unpriced where a price mapping is unverified; display aliases are +not billing evidence. Core, Extended, and DigBench trials use ephemeral threads that intentionally do not appear in normal persisted session telemetry. While a subscription-funded benchmark suite is active, Quota views replace the numeric API-equivalent estimate with `SUBSCRIPTION BENCHMARK ACTIVE` instead of presenting partial accounting. When each trial finishes, its authoritative benchmark usage is -folded into the same process-local accounting used for quota learning; missing -or unpriceable benchmark usage fails closed and restarts the learning anchor. +folded into the same process-local accounting used for quota learning; missing, +inconsistent or unpriceable benchmark usage fails closed with separate reasons +and restarts the learning anchor. Complete raw response usage takes precedence +over cumulative/context snapshots, each response retains its observed/requested +model, and identical notification replays do not duplicate costs. Benchmarks funded by `CODEXOMETER_BENCHMARK_API_KEY` are excluded because they do not consume the displayed subscription quota. Benchmark threads remain hidden from Sessions; hiding presentation does not exclude their aggregate subscription impact from Quota views. The embedded rates come from the [official OpenAI API pricing page](https://developers.openai.com/api/docs/pricing) -and were last updated on **2026-09-30**. +and were last reviewed on **2026-10-12**. Every Quota presentation repeats that retrieval date and a terminal hyperlink to the source in its footer when the terminal is wide enough, matching the Benchmark view and making stale compiled pricing conspicuous wherever a priced diff --git a/internal/codex/benchmark.go b/internal/codex/benchmark.go index 3470a52..a1e298a 100644 --- a/internal/codex/benchmark.go +++ b/internal/codex/benchmark.go @@ -33,7 +33,7 @@ const ( // the published rates compiled into this release. Keep both in sync whenever // standardAPIPrices changes. StandardAPIPricingSourceURL = "https://developers.openai.com/api/docs/pricing" - StandardAPIPricingRetrievedOn = "2026-09-30" + StandardAPIPricingRetrievedOn = "2026-10-12" ) // BenchmarkUsage is the app-server token breakdown for one isolated turn. @@ -113,6 +113,7 @@ func (c Client) BenchmarkBillingSource() BenchmarkBillingSource { // completion when the current Codex app-server exposes experimental raw events. type BenchmarkResponseUsage struct { ResponseID string + Model string Usage BenchmarkUsage } @@ -930,7 +931,7 @@ func (s *appServerSession) runBenchmark( Usage *BenchmarkUsage `json:"usage"` } if json.Unmarshal(params, &event) == nil && event.ThreadID == startedThread.Thread.ID && event.TurnID == startedTurn.Turn.ID { - telemetry.recordRawResponse(event.ResponseID, event.Usage) + telemetry.recordRawResponseForModel(event.ResponseID, event.Usage, result.ActualModel) } case "model/rerouted": var event struct { @@ -1163,6 +1164,8 @@ func (s *appServerSession) interruptBenchmarkTurn( } func applyBenchmarkMeasurements(result *BenchmarkResult, telemetry *benchmarkTelemetry) { + result.CostUSD, result.CostKnown, result.CostIssue = 0, false, "" + result.UsageKnown, result.UsageIssue = false, "" telemetry.apply(result) if result.ToolUsed { result.CostIssue = "tool use prohibited: " + result.ToolType @@ -1170,7 +1173,11 @@ func applyBenchmarkMeasurements(result *BenchmarkResult, telemetry *benchmarkTel if result.UsageSource == BenchmarkUsageRawResponses { result.CostKnown = true for _, response := range result.ResponseUsage { - cost, known, issue := estimateSingleResponseAPICostWithIssue(result.ActualModel, response.Usage) + model := response.Model + if model == "" { + model = result.ActualModel + } + cost, known, issue := estimateSingleResponseAPICostWithIssue(model, response.Usage) if !known { result.CostUSD, result.CostKnown, result.CostIssue = 0, false, issue break @@ -1195,6 +1202,7 @@ type benchmarkTelemetry struct { rawObserved bool rawMissingUsage bool issue string + cumulativeIssue string } func newBenchmarkTelemetry() *benchmarkTelemetry { @@ -1204,10 +1212,10 @@ func newBenchmarkTelemetry() *benchmarkTelemetry { func (t *benchmarkTelemetry) recordCumulative(usage BenchmarkUsage) { t.cumulativeObserved = true if issue := validateBenchmarkUsage(usage); issue != "" { - t.setIssue("invalid cumulative usage: " + issue) + t.cumulativeIssue = "invalid cumulative usage: " + issue } if t.hasLastCumulative && !benchmarkUsageAtLeast(usage, t.lastCumulative) { - t.setIssue("cumulative usage regressed") + t.cumulativeIssue = "cumulative usage regressed" } t.cumulative = usage t.lastCumulative = usage @@ -1221,7 +1229,19 @@ func (t *benchmarkTelemetry) recordRawResponse(responseID string, usage *Benchma return } if _, duplicate := t.rawIDs[responseID]; duplicate { - t.setIssue("duplicate raw response usage: " + responseID) + for _, previous := range t.rawResponses { + if previous.ResponseID == responseID { + if usage != nil && previous.Usage == *usage { + return + } + t.setIssue("conflicting duplicate raw response usage: " + responseID) + return + } + } + if usage == nil { + return + } // Identical replay of an already missing usage payload. + t.setIssue("conflicting duplicate raw response usage: " + responseID) return } t.rawIDs[responseID] = struct{}{} @@ -1257,13 +1277,18 @@ func (t *benchmarkTelemetry) apply(result *BenchmarkResult) { result.UsageIssue = "invalid raw response total: " + issue return } - if t.cumulativeObserved && rawTotal != t.cumulative { - result.UsageIssue = "raw and cumulative usage disagree" - return - } + result.Usage, result.UsageKnown, result.UsageSource = rawTotal, true, BenchmarkUsageRawResponses return } + if t.rawObserved && t.rawMissingUsage { + result.UsageIssue = "raw response omitted usage" + return + } + if t.cumulativeIssue != "" { + result.UsageIssue = t.cumulativeIssue + return + } if t.cumulativeObserved { result.Usage, result.UsageKnown, result.UsageSource = t.cumulative, true, BenchmarkUsageCumulative return @@ -1609,6 +1634,7 @@ type apiPrice struct { } var standardAPIPrices = map[string]apiPrice{ + "gpt-5.2": {input: 1.75, cached: 0.175, output: 14.00}, "gpt-6.1-sol": {input: 2.00, cached: 0.10, cacheWrite: 2.50, cacheWriteKnown: true, output: 10.00, longInput: 4.00, longCached: 0.20, longCacheWrite: 5.00, longOutput: 15.00, longKnown: true}, "gpt-6-sol": {input: 2.00, cached: 0.20, cacheWrite: 2.50, cacheWriteKnown: true, output: 10.00, longInput: 4.00, longCached: 0.40, longCacheWrite: 5.00, longOutput: 15.00, longKnown: true}, "gpt-6-luna": {input: 0.10, cached: 0.01, cacheWrite: 0.125, cacheWriteKnown: true, output: 0.50, longInput: 0.20, longCached: 0.02, longCacheWrite: 0.25, longOutput: 0.75, longKnown: true}, @@ -1640,7 +1666,7 @@ func estimateSingleResponseAPICostWithIssue(model string, usage BenchmarkUsage) } price, ok := priceForModel(model) if !ok { - return 0, false, "no published price for model " + strings.TrimSpace(model) + return 0, false, "no maintained standard API price for model " + strings.TrimSpace(model) } if usage.CacheWriteInputTokens > 0 && !price.cacheWriteKnown { return 0, false, "no published cache-write price for model " + strings.TrimSpace(model) @@ -1697,3 +1723,11 @@ func pricedModelName(model string) string { } return "" } + +func (t *benchmarkTelemetry) recordRawResponseForModel(id string, usage *BenchmarkUsage, model string) { + before := len(t.rawResponses) + t.recordRawResponse(id, usage) + if len(t.rawResponses) > before { + t.rawResponses[len(t.rawResponses)-1].Model = model + } +} diff --git a/internal/codex/benchmark_test.go b/internal/codex/benchmark_test.go index 249caeb..84f47f0 100644 --- a/internal/codex/benchmark_test.go +++ b/internal/codex/benchmark_test.go @@ -628,12 +628,8 @@ func TestBenchmarkTelemetryRejectsInconsistentStreams(t *testing.T) { state.recordCumulative(valid) state.recordCumulative(BenchmarkUsage{TotalTokens: 55, InputTokens: 50, OutputTokens: 5}) }, want: "regressed"}, - {name: "raw mismatch", record: func(state *benchmarkTelemetry) { - state.recordRawResponse("response-1", &valid) - state.recordCumulative(BenchmarkUsage{TotalTokens: 120, InputTokens: 100, OutputTokens: 20}) - }, want: "disagree"}, {name: "duplicate response", record: func(state *benchmarkTelemetry) { - state.recordRawResponse("response-1", nil) + state.recordRawResponse("response-1", &valid) state.recordRawResponse("response-1", nil) }, want: "duplicate"}, {name: "raw aggregate overflow", record: func(state *benchmarkTelemetry) { @@ -654,15 +650,15 @@ func TestBenchmarkTelemetryRejectsInconsistentStreams(t *testing.T) { } } -func TestBenchmarkTelemetryFallsBackWhenRawUsageIsOmitted(t *testing.T) { +func TestBenchmarkTelemetryRejectsIncompleteRawUsageEvenWithCumulativeSnapshot(t *testing.T) { valid := BenchmarkUsage{TotalTokens: 110, InputTokens: 100, OutputTokens: 10} state := newBenchmarkTelemetry() state.recordRawResponse("response-1", nil) state.recordCumulative(valid) var result BenchmarkResult state.apply(&result) - if !result.UsageObserved || !result.UsageKnown || result.UsageSource != BenchmarkUsageCumulative || result.Usage != valid || result.UsageIssue != "" { - t.Fatalf("valid cumulative fallback was not used: %#v", result) + if !result.UsageObserved || result.UsageKnown || result.UsageIssue != "raw response omitted usage" { + t.Fatalf("missing exact response usage was hidden by a context snapshot: %#v", result) } } @@ -1212,6 +1208,7 @@ func TestEstimateAPICostUsesCachedAndOutputRates(t *testing.T) { func TestStandardAPIPricesMatchPublishedRates(t *testing.T) { want := map[string]apiPrice{ + "gpt-5.2": {input: 1.75, cached: 0.175, output: 14.00}, "gpt-6.1-sol": {input: 2.00, cached: 0.10, cacheWrite: 2.50, cacheWriteKnown: true, output: 10.00, longInput: 4.00, longCached: 0.20, longCacheWrite: 5.00, longOutput: 15.00, longKnown: true}, "gpt-6-sol": {input: 2.00, cached: 0.20, cacheWrite: 2.50, cacheWriteKnown: true, output: 10.00, longInput: 4.00, longCached: 0.40, longCacheWrite: 5.00, longOutput: 15.00, longKnown: true}, "gpt-6-luna": {input: 0.10, cached: 0.01, cacheWrite: 0.125, cacheWriteKnown: true, output: 0.50, longInput: 0.20, longCached: 0.02, longCacheWrite: 0.25, longOutput: 0.75, longKnown: true}, @@ -1373,3 +1370,29 @@ func TestFormatIntervalsAndReferenceMerge(t *testing.T) { t.Fatal("reference merge mutated input") } } + +func TestBenchmarkExactResponsesOverrideSyntheticSnapshotsAndRetainModels(t *testing.T) { + telemetry := newBenchmarkTelemetry() + first := BenchmarkUsage{InputTokens: 100, OutputTokens: 10, TotalTokens: 110} + second := BenchmarkUsage{InputTokens: 200, OutputTokens: 20, TotalTokens: 220} + telemetry.recordRawResponseForModel("one", &first, "gpt-6-astra") + telemetry.recordCumulative(BenchmarkUsage{TotalTokens: 128000}) // Context bookkeeping, not billable usage. + telemetry.recordRawResponseForModel("two", &second, "gpt-5.2") + telemetry.recordRawResponseForModel("two", &second, "gpt-5.2") // Identical transport replay. + result := BenchmarkResult{ActualModel: "gpt-5.2"} + applyBenchmarkMeasurements(&result, telemetry) + a, _, _ := EstimateStandardAPIEqCost("gpt-6-astra", first) + b, _, _ := EstimateStandardAPIEqCost("gpt-5.2", second) + if !result.CostKnown || !result.UsageKnown || result.Usage.TotalTokens != 330 || len(result.ResponseUsage) != 2 || math.Abs(result.CostUSD-a-b) > 1e-12 { + t.Fatal("exact usage depended on synthetic snapshots/final model", result) + } + applyBenchmarkMeasurements(&result, telemetry) + if math.Abs(result.CostUSD-a-b) > 1e-12 { + t.Fatal("repeated measurement added cost twice", result) + } + telemetry.recordRawResponse("two", &first) + applyBenchmarkMeasurements(&result, telemetry) + if result.UsageKnown || result.CostKnown || !strings.Contains(result.UsageIssue, "conflicting duplicate") { + t.Fatal("conflicting response ID was accepted", result) + } +} diff --git a/internal/codex/digbench.go b/internal/codex/digbench.go index 38f72c8..d9d917f 100644 --- a/internal/codex/digbench.go +++ b/internal/codex/digbench.go @@ -484,7 +484,7 @@ func (s *appServerSession) runDigBench( Usage *BenchmarkUsage `json:"usage"` } if json.Unmarshal(envelope.Params, &event) == nil && event.ThreadID == startedThread.Thread.ID && event.TurnID == startedTurn.Turn.ID { - telemetry.recordRawResponse(event.ResponseID, event.Usage) + telemetry.recordRawResponseForModel(event.ResponseID, event.Usage, result.ActualModel) } case "model/rerouted": var event struct { @@ -1008,6 +1008,7 @@ func digBenchFinalResponse(params json.RawMessage, threadID, turnID string, sens } func applyDigBenchMeasurements(result *DigBenchResult, telemetry *benchmarkTelemetry) { + result.CostUSD, result.CostKnown, result.CostIssue = 0, false, "" var measurements BenchmarkResult telemetry.apply(&measurements) result.Usage = measurements.Usage @@ -1026,7 +1027,11 @@ func applyDigBenchMeasurements(result *DigBenchResult, telemetry *benchmarkTelem } result.CostKnown = true for _, response := range result.ResponseUsage { - cost, known, issue := estimateSingleResponseAPICostWithIssue(result.ActualModel, response.Usage) + model := response.Model + if model == "" { + model = result.ActualModel + } + cost, known, issue := estimateSingleResponseAPICostWithIssue(model, response.Usage) if !known { result.CostUSD, result.CostKnown, result.CostIssue = 0, false, issue return diff --git a/internal/codex/live_usage.go b/internal/codex/live_usage.go index b4ea1ad..c09684b 100644 --- a/internal/codex/live_usage.go +++ b/internal/codex/live_usage.go @@ -25,10 +25,11 @@ const ( ) // LiveUsageSnapshot is a process-local accounting view built from token-count -// events appended to locally persisted Codex rollouts. Finalized API-equivalent +// events or exact response records appended to local Codex rollouts. Finalized API-equivalent // totals increase monotonically; APIEqPendingCalls is an instantaneous count // kept separate until daemon model resolution or requested-model fallback. -// APIEqUSD remains standard cost. Quota learning adds APIEqTierPremiumUSD; +// APIEqUSD remains standard cost. Quota learning adds the signed requested-tier +// adjustment in APIEqTierPremiumUSD (negative for Flex); // APIEqUnknownTierCalls identifies standard fallbacks with missing tier evidence. // Missing/inconsistent response usage has separate monotonic counters from // unavailable pricing. AccountingAdjustments counts recognised synthetic context @@ -50,6 +51,7 @@ type LiveUsageSnapshot struct { APIEqPendingCalls int64 APIEqTierPremiumUSD float64 APIEqUnknownTierCalls int64 + APIEqDiagnostics []APIEqDiagnostic } // LiveUsageSession is one independently started local Codex session. Token @@ -100,6 +102,13 @@ type LiveModelCall struct { APIEqKnown bool APIEqIssue string apiEqFinalized bool + issueKind APIEqIssueKind + SessionID string + TurnID string + ResponseID string + Effort string + UsageSource string + ModelBasis string RequestedServiceTier string APIEqTierPremiumUSD float64 } @@ -140,6 +149,7 @@ type LiveUsageReader struct { apiEqMissingUsageCalls int64 apiEqInconsistentUsageCalls int64 apiEqAccountingAdjustments int64 + apiEqDiagnostics []APIEqDiagnostic lastActivity time.Time nextEventSequence uint64 daemonObservationSequence uint64 @@ -169,6 +179,10 @@ type rolloutCursor struct { modelCalls []LiveModelCall turnTimings []LiveTurnTiming attention sessionAttentionState + exactUsage bool + exactResponses map[string]BenchmarkUsage + exactConflicts map[string]bool + exactResponseOrder []string } type pendingModelResolution struct { @@ -177,6 +191,7 @@ type pendingModelResolution struct { turnID string usage BenchmarkUsage cumulativeTotal int64 + exact bool } type sessionAttentionState int @@ -204,6 +219,7 @@ type rolloutEvent struct { } type rolloutTokenUsage struct { + schemaIssue string InputTokens *int64 `json:"input_tokens"` CachedInputTokens *int64 `json:"cached_input_tokens"` CacheWriteInputTokens int64 `json:"cache_write_input_tokens"` @@ -227,6 +243,7 @@ func (u rolloutTokenUsage) benchmarkUsage() BenchmarkUsage { OutputTokens: optionalRolloutTokens(u.OutputTokens), ReasoningOutputTokens: optionalRolloutTokens(u.ReasoningOutputTokens), TotalTokens: optionalRolloutTokens(u.TotalTokens), + schemaIssue: u.schemaIssue, } } @@ -422,6 +439,7 @@ func (r *LiveUsageReader) fetchTokenUsage(ctx context.Context, forceFullDiscover APIEqPendingCalls: int64(len(r.pendingModelResolutions)), APIEqTierPremiumUSD: r.apiEqTierPremiumUSD, APIEqUnknownTierCalls: r.apiEqUnknownTierCalls, + APIEqDiagnostics: append([]APIEqDiagnostic(nil), r.apiEqDiagnostics...), }, nil } @@ -547,7 +565,18 @@ func (r *LiveUsageReader) addFile(path string, info os.FileInfo) error { cursor.attention = attention cursor.preview = latestSessionContext(path, cursor) } - if !r.initialized || !rolloutCreatedAfter(path, r.startedAt) { + // A new rollout filename can be a reverted/replaced history of an existing + // thread, not a new thread. Its copied responses are a baseline, not spend. + existingThread := false + if r.initialized && cursor.threadID != "" { + for _, known := range r.files { + if known.threadID == cursor.threadID { + existingThread = true + break + } + } + } + if !r.initialized || existingThread || !rolloutCreatedAfter(path, r.startedAt) { model, modelErr := latestRolloutModel(path, cursor) if modelErr != nil { return modelErr @@ -563,7 +592,14 @@ func (r *LiveUsageReader) addFile(path string, info os.FileInfo) error { return err } cursor.totalTokens = total - cursor.offset = info.Size() + baseline, err := restoreExactUsageBaseline(path, cursor, info.Size()) + if err != nil { + return err + } + cursor.offset = baseline + if existingThread { + r.apiEqAccountingAdjustments++ + } } r.files[path] = cursor return nil @@ -611,6 +647,11 @@ func (r *LiveUsageReader) consume(path string, cursor *rolloutCursor) error { } cursor.attention = attention cursor.preview = latestSessionContext(path, cursor) + baseline, err := restoreExactUsageBaseline(path, cursor, info.Size()) + if err != nil { + return err + } + cursor.offset = baseline return nil } if info.Size() == cursor.offset { @@ -648,7 +689,17 @@ func (r *LiveUsageReader) consume(path string, cursor *rolloutCursor) error { tokenRecordIsOwned(ordinal, cursor.subagentHistoryStartOrdinal, at, cursor.nonRoot, cursor.startedAt) { cursor.attention = attention } + if record, ok := exactUsageRecord(line); ok { + r.consumeExactUsage(cursor, record) + } if record, ok := tokenUsageRecord(line); ok { + if cursor.exactUsage { + if tokenRecordIsOwned(record.ordinal, cursor.subagentHistoryStartOrdinal, record.at, cursor.nonRoot, cursor.startedAt) { + r.attachExactCheckpoint(cursor, record) + } + cursor.totalTokens = record.total + continue + } if !tokenRecordIsOwned(record.ordinal, cursor.subagentHistoryStartOrdinal, record.at, cursor.nonRoot, cursor.startedAt) { // Legacy child rollouts copy the parent's cumulative token // events. Preserve the latest inherited value as the child's @@ -695,6 +746,10 @@ func (r *LiveUsageReader) consume(path string, cursor *rolloutCursor) error { Sequence: r.nextEventSequence, At: record.at, OutputTokens: record.outputTokens, OutputAvailable: record.outputKnown, Model: model, RequestedServiceTier: cursor.currentServiceTier, + SessionID: cursor.threadID, TurnID: cursor.currentTurnID, Effort: cursor.modelSettings.ReasoningEffort, UsageSource: "legacy token snapshot", ModelBasis: "requested", + } + if resolved { + call.ModelBasis = "live reroute" } if usageMatchesDelta && (!resolutionPending || resolved) { r.finalizeCallPricing(&call, pricingUsage) @@ -702,8 +757,10 @@ func (r *LiveUsageReader) consume(path string, cursor *rolloutCursor) error { call.apiEqFinalized = true if !record.usageAvailable { call.APIEqIssue = "missing response input/output usage" + call.issueKind = UsageIssueMissing r.apiEqMissingUsageCalls++ } else { + call.issueKind = UsageIssueInconsistent call.APIEqIssue = validateBenchmarkUsage(record.usage) if call.APIEqIssue == "" { call.APIEqIssue = "cumulative token increase does not match last response usage" @@ -711,6 +768,9 @@ func (r *LiveUsageReader) consume(path string, cursor *rolloutCursor) error { r.apiEqInconsistentUsageCalls++ } } + if call.apiEqFinalized && call.APIEqIssue != "" { + r.rememberCallIssue(call) + } cursor.modelCalls = appendBounded(cursor.modelCalls, call, telemetryHistoryMax) if resolutionDeferred { r.pendingModelResolutions = append(r.pendingModelResolutions, pendingModelResolution{ @@ -772,18 +832,30 @@ func (r *LiveUsageReader) reconcilePendingModelResolutions() { // The response aged out before model resolution; the loss is a // usage-coverage issue, not evidence of an unsupported model. r.apiEqMissingUsageCalls++ + source := "legacy token snapshot" + if pending.exact { + source = "exact response" + } + r.rememberCallIssue(LiveModelCall{SessionID: pending.threadID, TurnID: pending.turnID, UsageSource: source, issueKind: UsageIssueMissing, APIEqIssue: "response aged out before model resolution"}) continue } if call.apiEqFinalized { continue } observation, ok := r.takeResolvedModelObservation(pending.threadID, pending.turnID, pending.usage, pending.cumulativeTotal) + if !ok && pending.exact && pending.cumulativeTotal < 0 { + observation, ok = r.takeUniqueExactModelObservation(pending.threadID, pending.turnID, pending.usage) + } pricingUsage := pending.usage if ok { call.Model = observation.Model + call.ModelBasis = "live reroute" pricingUsage = observation.Usage } r.finalizeCallPricing(call, pricingUsage) + if call.APIEqIssue != "" { + r.rememberCallIssue(*call) + } } r.pendingModelResolutions = nil } @@ -978,7 +1050,7 @@ func tokenUsageRecord(line []byte) (rolloutTokenRecord, bool) { // Require every core token field in both breakdowns. Missing legacy // telemetry must never be mistaken for Codex's synthetic full-context event. zeroClasses := func(u rolloutTokenUsage) bool { - return u.InputTokens != nil && *u.InputTokens == 0 && + return u.schemaIssue == "" && u.InputTokens != nil && *u.InputTokens == 0 && u.OutputTokens != nil && *u.OutputTokens == 0 && u.CachedInputTokens != nil && *u.CachedInputTokens == 0 && u.ReasoningOutputTokens != nil && *u.ReasoningOutputTokens == 0 && @@ -1249,7 +1321,10 @@ func (r *LiveUsageReader) sessionSnapshots(now time.Time, liveWriters map[string byID := make(map[string]*rolloutCursor, len(r.files)) for _, cursor := range r.files { if cursor.threadID != "" { - byID[cursor.threadID] = cursor + previous := byID[cursor.threadID] + if previous == nil || cursor.lastModified.After(previous.lastModified) { + byID[cursor.threadID] = cursor + } } } @@ -1485,3 +1560,29 @@ func contextErr(ctx context.Context) error { return nil } } + +func (u *rolloutTokenUsage) UnmarshalJSON(data []byte) error { + type wire rolloutTokenUsage + var value wire + if err := json.Unmarshal(data, &value); err != nil { + return err + } + var fields map[string]json.RawMessage + if err := json.Unmarshal(data, &fields); err != nil { + return err + } + *u = rolloutTokenUsage(value) + var unknown []string + for key := range fields { + switch key { + case "input_tokens", "cached_input_tokens", "cache_write_input_tokens", "output_tokens", "reasoning_output_tokens", "total_tokens", "codex_rollout_budget_units": + default: + unknown = append(unknown, key) + } + } + sort.Strings(unknown) + if len(unknown) > 0 { + u.schemaIssue = "unknown usage fields: " + strings.Join(unknown, ", ") + } + return nil +} diff --git a/internal/codex/live_usage_accounting_test.go b/internal/codex/live_usage_accounting_test.go index d5b2c61..e4ce133 100644 --- a/internal/codex/live_usage_accounting_test.go +++ b/internal/codex/live_usage_accounting_test.go @@ -143,7 +143,7 @@ func TestResponseUsageProblemsAreSeparateFromUnknownPrices(t *testing.T) { case "unknown-model": event = turnContextLine(now, "gpt-6-astra-preview") + "\n" + event case "unsupported-tier": - event = tierSettingsLine(now, `"flex"`) + "\n" + turnContextLine(now, "gpt-6-astra") + "\n" + event + event = tierSettingsLine(now, `"unadvertised-tier"`) + "\n" + turnContextLine(now, "gpt-6-astra") + "\n" + event } appendRollout(t, path, event+"\n") usage, err := r.FetchTokenUsage(context.Background()) diff --git a/internal/codex/live_usage_exact.go b/internal/codex/live_usage_exact.go new file mode 100644 index 0000000..260d092 --- /dev/null +++ b/internal/codex/live_usage_exact.go @@ -0,0 +1,203 @@ +package codex + +import ( + "bytes" + "encoding/json" + "errors" + "io" + "os" + "strings" + "time" +) + +// Codex added durable, exact response records on 2026-08-31. Context token +// snapshots remain useful as baselines, but are not response billing records. +type rolloutExactUsage struct { + Timestamp time.Time `json:"timestamp"` + Ordinal *uint64 `json:"ordinal"` + Type string `json:"type"` + Payload struct { + ThreadID string `json:"thread_id"` + TurnID string `json:"turn_id"` + ResponseID string `json:"response_id"` + Usage *rolloutTokenUsage `json:"usage"` + } `json:"payload"` +} + +func exactUsageRecord(line []byte) (rolloutExactUsage, bool) { + var record rolloutExactUsage + if !bytes.Contains(line, []byte(`"token_usage_record"`)) || json.Unmarshal(line, &record) != nil || record.Type != "token_usage_record" { + return record, false + } + return record, true +} + +func (c *rolloutCursor) ownsExactRecord(record rolloutExactUsage) bool { + return record.Payload.ThreadID == c.threadID && tokenRecordIsOwned(record.Ordinal, c.subagentHistoryStartOrdinal, record.Timestamp, c.nonRoot, c.startedAt) +} + +func (c *rolloutCursor) rememberExactResponse(id string, usage BenchmarkUsage) bool { + if c.exactResponses == nil { + c.exactResponses = make(map[string]BenchmarkUsage) + } + if _, exists := c.exactResponses[id]; exists { + return false + } + c.exactResponses[id] = usage + c.exactResponseOrder = append(c.exactResponseOrder, id) + if len(c.exactResponseOrder) > telemetryHistoryMax { + delete(c.exactResponses, c.exactResponseOrder[0]) + delete(c.exactConflicts, c.exactResponseOrder[0]) + c.exactResponseOrder = c.exactResponseOrder[1:] + } + return true +} + +// Establish the source and recent replay identities without counting history. +// Bound startup IO independently of the file's potentially large transcript. +func restoreExactUsageBaseline(path string, cursor *rolloutCursor, baselineOffset int64) (int64, error) { + file, err := os.Open(path) + if err != nil { + return 0, err + } + defer file.Close() + info, err := file.Stat() + if err != nil { + return 0, err + } + end := min(info.Size(), baselineOffset) + size := min(end, int64(4*1024*1024)) + start := end - size + data := make([]byte, size) + _, err = file.ReadAt(data, start) + if err != nil && !errors.Is(err, io.EOF) { + return 0, err + } + // A writer can be midway through a small exact record at discovery. Leave + // its partial bytes for the incremental reader, rather than skipping them. + if last := bytes.LastIndexByte(data, '\n'); last >= 0 && last < len(data)-1 { + end = end - size + int64(last) + 1 + data = data[:last+1] + } + lines := bytes.Split(data, []byte{'\n'}) + if start > 0 { + lines = lines[1:] + } + for _, line := range lines { + record, ok := exactUsageRecord(line) + if !ok || !cursor.ownsExactRecord(record) { + continue + } + cursor.exactUsage = true + if id := strings.TrimSpace(record.Payload.ResponseID); id != "" { + usage := BenchmarkUsage{} + if record.Payload.Usage != nil { + usage = record.Payload.Usage.benchmarkUsage() + } + cursor.rememberExactResponse(id, usage) + } + } + return end, nil +} + +func (r *LiveUsageReader) consumeExactUsage(cursor *rolloutCursor, record rolloutExactUsage) { + if !cursor.ownsExactRecord(record) { + return + } + cursor.exactUsage = true + id := strings.TrimSpace(record.Payload.ResponseID) + usage := BenchmarkUsage{} + if record.Payload.Usage != nil { + usage = record.Payload.Usage.benchmarkUsage() + } + if previous, seen := cursor.exactResponses[id]; id != "" && seen { + if previous != usage && !cursor.exactConflicts[id] { + if cursor.exactConflicts == nil { + cursor.exactConflicts = make(map[string]bool) + } + cursor.exactConflicts[id] = true + r.apiEqInconsistentUsageCalls++ + r.rememberCallIssue(LiveModelCall{At: record.Timestamp, SessionID: cursor.threadID, Model: cursor.currentModel, RequestedServiceTier: cursor.currentServiceTier, ResponseID: id, UsageSource: "exact response", Effort: cursor.modelSettings.ReasoningEffort, issueKind: UsageIssueInconsistent, APIEqIssue: "response ID replayed with conflicting usage"}) + } + return + } + if id != "" { + cursor.rememberExactResponse(id, usage) + } + r.nextEventSequence++ + at := record.Timestamp + if at.IsZero() { + at = time.Now() + } + call := LiveModelCall{Sequence: r.nextEventSequence, At: at, Model: cursor.currentModel, + SessionID: cursor.threadID, TurnID: record.Payload.TurnID, ResponseID: id, + Effort: cursor.modelSettings.ReasoningEffort, UsageSource: "exact response", ModelBasis: "requested", RequestedServiceTier: cursor.currentServiceTier} + call.OutputAvailable = record.Payload.Usage != nil && record.Payload.Usage.OutputTokens != nil + call.OutputTokens = usage.OutputTokens + if id == "" { + call.issueKind = UsageIssueInconsistent + call.APIEqIssue = "exact response record omitted response ID" + call.apiEqFinalized = true + r.apiEqInconsistentUsageCalls++ + } else if record.Payload.Usage == nil || record.Payload.Usage.InputTokens == nil || record.Payload.Usage.OutputTokens == nil || record.Payload.Usage.TotalTokens == nil || record.Payload.Usage.CachedInputTokens == nil || record.Payload.Usage.ReasoningOutputTokens == nil { + call.issueKind = UsageIssueMissing + call.APIEqIssue = "exact response record omitted required token breakdown fields" + call.apiEqFinalized = true + r.apiEqMissingUsageCalls++ + } else if issue := validateBenchmarkUsage(usage); issue != "" { + call.issueKind = UsageIssueInconsistent + call.APIEqIssue = issue + call.apiEqFinalized = true + r.apiEqInconsistentUsageCalls++ + } else { + // Exact usage is counted independently of synthetic context-counter resets. + r.totalTokens += usage.TotalTokens + cursor.observedTokens += usage.TotalTokens + if usage.TotalTokens > 0 && at.After(r.lastActivity) { + r.lastActivity = at + } + _, subscribed := r.daemonSubscribedThreads[cursor.threadID] + if subscribed && call.TurnID != "" { + r.pendingModelResolutions = append(r.pendingModelResolutions, pendingModelResolution{ + callSequence: call.Sequence, threadID: call.SessionID, turnID: call.TurnID, usage: usage, cumulativeTotal: -1, exact: true}) + } else { + r.finalizeCallPricing(&call, usage) + } + } + if call.apiEqFinalized && call.APIEqIssue != "" { + r.rememberCallIssue(call) + } + cursor.modelCalls = appendBounded(cursor.modelCalls, call, telemetryHistoryMax) +} + +// Exact records precede the corresponding context snapshot. Attach that +// checkpoint when available; it is attribution evidence, not a billing gate. +func (r *LiveUsageReader) attachExactCheckpoint(cursor *rolloutCursor, record rolloutTokenRecord) { + for i := len(r.pendingModelResolutions) - 1; i >= 0; i-- { + pending := &r.pendingModelResolutions[i] + if pending.exact && pending.threadID == cursor.threadID && (cursor.currentTurnID == "" || pending.turnID == cursor.currentTurnID) && pending.cumulativeTotal < 0 && sameBenchmarkUsage(pending.usage, record.usage) { + pending.cumulativeTotal = record.total + break + } + } +} + +// Without a context checkpoint, accept only a unique matching live observation. +// Repeated identical responses must not inherit an ambiguous rerouted model. +func (r *LiveUsageReader) takeUniqueExactModelObservation(threadID, turnID string, usage BenchmarkUsage) (resolvedModelObservation, bool) { + index := -1 + for i, observation := range r.resolvedObservations { + if observation.ThreadID == threadID && observation.TurnID == turnID && sameBenchmarkUsage(observation.Usage, usage) { + if index >= 0 { + return resolvedModelObservation{}, false + } + index = i + } + } + if index < 0 { + return resolvedModelObservation{}, false + } + observation := r.resolvedObservations[index] + r.resolvedObservations = append(r.resolvedObservations[:index], r.resolvedObservations[index+1:]...) + return observation, true +} diff --git a/internal/codex/live_usage_exact_test.go b/internal/codex/live_usage_exact_test.go new file mode 100644 index 0000000..73bdaa6 --- /dev/null +++ b/internal/codex/live_usage_exact_test.go @@ -0,0 +1,241 @@ +package codex + +import ( + "context" + "encoding/json" + "math" + "os" + "path/filepath" + "strings" + "testing" + "time" +) + +func exactLine(t *testing.T, at time.Time, thread, turn, response string, usage BenchmarkUsage) string { + t.Helper() + raw, err := json.Marshal(map[string]any{"type": "token_usage_record", "timestamp": at, "payload": map[string]any{ + "thread_id": thread, "turn_id": turn, "response_id": response, + "usage": map[string]any{"input_tokens": usage.InputTokens, "cached_input_tokens": usage.CachedInputTokens, + "cache_write_input_tokens": usage.CacheWriteInputTokens, "output_tokens": usage.OutputTokens, + "reasoning_output_tokens": usage.ReasoningOutputTokens, "total_tokens": usage.TotalTokens}}}) + if err != nil { + t.Fatal(err) + } + return string(raw) +} + +func TestExactUsageIgnoresContextCountersAndDeduplicatesAcrossPolls(t *testing.T) { + r, path, now := astraUsageReader(t, 100) + r.statusProvider = nil + u := BenchmarkUsage{InputTokens: 1000, CachedInputTokens: 200, CacheWriteInputTokens: 30, OutputTokens: 100, ReasoningOutputTokens: 80, TotalTokens: 1100} + appendRollout(t, path, exactLine(t, now, "astra-accounting", "t", "r1", u)+"\n"+richTokenCountLine(now, 9000, 1000, 200, 30, 100)+"\n") + first, err := r.FetchTokenUsage(context.Background()) + if err != nil { + t.Fatal(err) + } + want, _, _ := EstimateStandardAPIEqCost("gpt-6-astra", u) + if first.TotalTokens != 1100 || first.APIEqPricedCalls != 1 || first.APIEqUnpricedCalls != 0 || first.APIEqInconsistentUsageCalls != 0 || math.Abs(first.APIEqUSD-want) > 1e-12 { + t.Fatal("exact response depended on context counter", first) + } + appendRollout(t, path, exactLine(t, now, "astra-accounting", "t", "r1", u)+"\n"+contextFillLine(t, now, 128000, 119000)+"\n") + duplicate, err := r.FetchTokenUsage(context.Background()) + if err != nil { + t.Fatal(err) + } + if duplicate.TotalTokens != first.TotalTokens || duplicate.APIEqPricedCalls != 1 || duplicate.APIEqAccountingAdjustments != 0 || len(duplicate.Sessions[0].ModelCalls) != 1 { + t.Fatal("replay/bookkeeping affected exact accounting", duplicate) + } + appendRollout(t, path, exactLine(t, now, "astra-accounting", "t", "r2", u)+"\n") + next, err := r.FetchTokenUsage(context.Background()) + if err != nil || next.TotalTokens != 2200 || next.APIEqPricedCalls != 2 || math.Abs(next.APIEqUSD-2*want) > 1e-12 { + t.Fatal("next exact response was lost", next, err) + } +} + +func TestExactUsageStartupBetweenResponseAndContextSnapshot(t *testing.T) { + _, path, now := astraUsageReader(t, 100) + u := BenchmarkUsage{InputTokens: 1000, OutputTokens: 100, TotalTokens: 1100} + appendRollout(t, path, exactLine(t, now, "astra-accounting", "t", "old", u)+"\n") + + home := strings.Split(path, string(filepath.Separator)+"sessions"+string(filepath.Separator))[0] + r, err := NewLiveUsageReader(home) + if err != nil { + t.Fatal(err) + } + r.statusProvider = nil + baseline, err := r.FetchTokenUsage(context.Background()) + if err != nil || baseline.TotalTokens != 0 || baseline.APIEqPricedCalls != 0 { + t.Fatal("historical exact response counted", baseline, err) + } + appendRollout(t, path, exactLine(t, now, "astra-accounting", "t", "old", u)+"\n"+richTokenCountLine(now, 1200, 1000, 0, 0, 100)+"\n") + replay, err := r.FetchTokenUsage(context.Background()) + if err != nil || replay.TotalTokens != 0 || replay.APIEqPricedCalls != 0 { + t.Fatal("startup replay/context duplicate counted", replay, err) + } + appendRollout(t, path, exactLine(t, now, "astra-accounting", "t", "new", u)+"\n") + fresh, err := r.FetchTokenUsage(context.Background()) + if err != nil || fresh.TotalTokens != 1100 || fresh.APIEqPricedCalls != 1 { + t.Fatal("fresh exact response lost", fresh, err) + } + +} + +func TestExactUsageOwnedRecordsExcludeInheritedHistory(t *testing.T) { + r, path, now := astraUsageReader(t, 100) + r.statusProvider = nil + cursor := r.files[path] + ordinal := uint64(10) + cursor.nonRoot = true + cursor.subagentHistoryStartOrdinal = &ordinal + u := BenchmarkUsage{InputTokens: 1000, OutputTokens: 100, TotalTokens: 1100} + inherited := exactLine(t, now, "astra-accounting", "t", "inherited", u) + var frame map[string]any + _ = json.Unmarshal([]byte(inherited), &frame) + frame["ordinal"] = 9 + raw, _ := json.Marshal(frame) + appendRollout(t, path, exactLine(t, now, "parent-thread", "t", "parent", u)+"\n"+string(raw)+"\n") + first, err := r.FetchTokenUsage(context.Background()) + if err != nil || first.APIEqPricedCalls != 0 || first.TotalTokens != 0 { + t.Fatal("inherited response was charged", first, err) + } + frame["ordinal"] = 11 + frame["payload"].(map[string]any)["response_id"] = "owned" + raw, _ = json.Marshal(frame) + appendRollout(t, path, string(raw)+"\n") + owned, err := r.FetchTokenUsage(context.Background()) + if err != nil || owned.APIEqPricedCalls != 1 || owned.TotalTokens != 1100 { + t.Fatal("owned response was not charged", owned, err) + } +} + +func TestExactUsageSeparatesMissingInvalidAndUnpricedWithDiagnostics(t *testing.T) { + for _, kind := range []string{"missing", "invalid", "unknown-field", "reserve"} { + t.Run(kind, func(t *testing.T) { + r, path, now := astraUsageReader(t, 100) + r.statusProvider = nil + u := BenchmarkUsage{InputTokens: 1000, OutputTokens: 100, TotalTokens: 1100} + line := exactLine(t, now, "astra-accounting", "t", "r", u) + var frame map[string]any + _ = json.Unmarshal([]byte(line), &frame) + fields := frame["payload"].(map[string]any)["usage"].(map[string]any) + switch kind { + case "missing": + delete(fields, "cached_input_tokens") + case "invalid": + fields["cached_input_tokens"] = 1001 + case "unknown-field": + fields["future_billable_tokens"] = 20 + case "reserve": + appendRollout(t, path, turnContextLine(now, "gpt-reserve")+"\n") + } + raw, _ := json.Marshal(frame) + appendRollout(t, path, string(raw)+"\n") + got, err := r.FetchTokenUsage(context.Background()) + if err != nil { + t.Fatal(err) + } + wanted := UsageIssueInconsistent + if kind == "missing" { + wanted = UsageIssueMissing + } + if kind == "reserve" { + wanted = UsageIssueUnpriced + } + if len(got.APIEqDiagnostics) != 1 || got.APIEqDiagnostics[0].Kind != wanted || got.APIEqDiagnostics[0].SessionID != "astra-accounting" || got.APIEqDiagnostics[0].ResponseID != "r" || got.APIEqDiagnostics[0].Reason == "" { + t.Fatal("failure attribution lost", got) + } + if kind != "reserve" && got.APIEqUnpricedCalls != 0 { + t.Fatal("bad usage became missing pricing", got) + } + }) + } +} + +func TestExactUsageKeepsDaemonModelResolution(t *testing.T) { + r, path, now := astraUsageReader(t, 100) + u := BenchmarkUsage{InputTokens: 1000, OutputTokens: 100, TotalTokens: 1100} + r.statusProvider = stubSessionStatusProvider{subscribed: map[string]struct{}{"astra-accounting": {}}} + appendRollout(t, path, turnContextWithTurnIDLine(now, "turn", "gpt-6-astra")+"\n"+exactLine(t, now, "astra-accounting", "turn", "r", u)+"\n"+richTokenCountLine(now, 9999, 1000, 0, 0, 100)+"\n") + first, err := r.FetchTokenUsage(context.Background()) + if err != nil || first.APIEqPendingCalls != 1 || first.APIEqPricedCalls != 0 { + t.Fatal("response did not wait for attribution", first, err) + } + r.statusProvider = stubSessionStatusProvider{subscribed: map[string]struct{}{"astra-accounting": {}}, observations: []resolvedModelObservation{{Sequence: 1, ThreadID: "astra-accounting", TurnID: "turn", Model: "gpt-5.2", Usage: u, CumulativeTotal: 9999}}} + resolved, err := r.FetchTokenUsage(context.Background()) + if err != nil || resolved.APIEqPendingCalls != 0 || resolved.APIEqPricedCalls != 1 || resolved.Sessions[0].ModelCalls[0].Model != "gpt-5.2" { + t.Fatal("exact response lost reroute attribution", resolved, err) + } +} + +func TestExactConflictingReplayIsReportedOnceWithoutAdditionalCost(t *testing.T) { + r, path, now := astraUsageReader(t, 100) + r.statusProvider = nil + u := BenchmarkUsage{InputTokens: 1000, OutputTokens: 100, TotalTokens: 1100} + appendRollout(t, path, exactLine(t, now, "astra-accounting", "t", "r", u)+"\n") + first, _ := r.FetchTokenUsage(context.Background()) + u.InputTokens++ + u.TotalTokens++ + line := exactLine(t, now, "astra-accounting", "t", "r", u) + "\n" + appendRollout(t, path, line+line) + got, err := r.FetchTokenUsage(context.Background()) + if err != nil || got.APIEqUSD != first.APIEqUSD || got.TotalTokens != first.TotalTokens || got.APIEqInconsistentUsageCalls != 1 || len(got.APIEqDiagnostics) != 1 || !strings.Contains(got.APIEqDiagnostics[0].Reason, "conflicting usage") { + t.Fatal("conflicting replay charged or hidden", got, err) + } +} + +func TestExactDiscoveryDoesNotBaselineConcurrentAppendOrPartialRecord(t *testing.T) { + for _, partial := range []bool{false, true} { + r, path, now := astraUsageReader(t, 100) + r.statusProvider = nil + u := BenchmarkUsage{InputTokens: 1000, OutputTokens: 100, TotalTokens: 1100} + line := exactLine(t, now, "astra-accounting", "t", "concurrent", u) + "\n" + if partial { + appendRollout(t, path, line[:len(line)/2]) + } + file, err := os.Stat(path) + if err != nil { + t.Fatal(err) + } + if partial { + appendRollout(t, path, line[len(line)/2:]) + } else { + appendRollout(t, path, line) + } + delete(r.files, path) + if err := r.addFile(path, file); err != nil { + t.Fatal(err) + } + got, err := r.FetchTokenUsage(context.Background()) + if err != nil || got.APIEqPricedCalls != 1 || got.TotalTokens != 1100 { + t.Fatal("concurrent/partial append was silently baselined", partial, got, err) + } + } +} + +func TestExactReplacementRolloutDoesNotBillCopiedThreadHistory(t *testing.T) { + r, path, now := astraUsageReader(t, 100) + r.statusProvider = nil + u := BenchmarkUsage{InputTokens: 1000, OutputTokens: 100, TotalTokens: 1100} + line := exactLine(t, now, "astra-accounting", "t", "old", u) + "\n" + appendRollout(t, path, line) + first, _ := r.FetchTokenUsage(context.Background()) + home := strings.Split(path, string(filepath.Separator)+"sessions"+string(filepath.Separator))[0] + replacement := testRolloutPath(t, home, time.Now().Add(time.Second), "replacement-rollout") + writeRollout(t, replacement, sessionMetaLine("astra-accounting", `"cli"`, "/synthetic", nil)+"\n"+turnContextLine(now, "gpt-6-sol")+"\n"+line) + info, err := os.Stat(replacement) + if err != nil { + t.Fatal(err) + } + if err := r.addFile(replacement, info); err != nil { + t.Fatal(err) + } + got, err := r.FetchTokenUsage(context.Background()) + if err != nil || got.TotalTokens != first.TotalTokens || got.APIEqPricedCalls != 1 || got.APIEqAccountingAdjustments != 1 { + t.Fatal("replacement history billed again", got, err) + } + appendRollout(t, replacement, exactLine(t, now, "astra-accounting", "t", "new", u)+"\n") + next, err := r.FetchTokenUsage(context.Background()) + if err != nil || next.TotalTokens != 2200 || next.APIEqPricedCalls != 2 || len(next.Sessions) != 1 || next.Sessions[0].TotalTokens != 2200 || next.Sessions[0].ModelSettings.Model != "gpt-6-sol" { + t.Fatal("fresh replacement response was lost", next, err) + } +} diff --git a/internal/codex/service_tier.go b/internal/codex/service_tier.go index 39d3168..d46486e 100644 --- a/internal/codex/service_tier.go +++ b/internal/codex/service_tier.go @@ -10,28 +10,41 @@ import ( // FastAPIPricingRetrievedOn is separate from the standard-price review date. // Sources: https://developers.openai.com/api/docs/pricing and // https://learn.chatgpt.com/docs/agent-configuration/speed (GPT-5.6 API rates). -const FastAPIPricingRetrievedOn = "2026-09-30" +const FastAPIPricingRetrievedOn = "2026-10-12" // requestedTierPremium prices a single response's requested tier. It does not // claim that the backend delivered/billed that tier. Empty means unavailable, // not confirmed standard. Unknown explicit tiers fail closed. func requestedTierPremium(model, tier string, standard float64) (float64, bool) { + multiplier, known := requestedTierMultiplier(model, tier) + return standard * (multiplier - 1), known +} + +// Only published model/tier combinations are maintained. The adjustment may +// be negative for Flex; Standard totals remain independently monotonic. +func requestedTierMultiplier(model, tier string) (float64, bool) { + name := pricedModelName(model) switch strings.ToLower(strings.TrimSpace(tier)) { case "", "default", "standard": - return 0, true + return 1, true case "fast", "priority": - // Only apply verified model-specific rates, never subscription credit - // multipliers. GPT-6 / GPT-5.6 Fast is 2x applicable rates, including long - // context and both cache classes. Dated snapshots share base pricing. - switch pricedModelName(model) { - case "gpt-6-astra", "gpt-6.1-sol", "gpt-6-sol", "gpt-6-luna", "gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna": - return standard, true - default: - return 0, false + switch name { + case "gpt-6-astra", "gpt-6.1-sol", "gpt-6-sol", "gpt-6-luna", "gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", "gpt-5.2", "gpt-5.4", "gpt-5.4-mini", "gpt-5.3-codex": + return 2, true + case "gpt-5.5": + return 2.5, true + } + case "ultrafast": + if name == "gpt-6-astra" || name == "gpt-6.1-sol" { + return 6, true + } + case "flex": + switch name { + case "gpt-6-astra", "gpt-6.1-sol", "gpt-6-sol", "gpt-6-luna", "gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", "gpt-5.2", "gpt-5.5": + return 0.5, true } - default: - return 0, false } + return 1, false } // Codex persists settings separately from turn_context. A complete settings @@ -66,12 +79,19 @@ func rolloutTierRecord(line []byte) (string, *uint64, time.Time, bool) { func (r *LiveUsageReader) finalizeCallPricing(call *LiveModelCall, usage BenchmarkUsage) { if issue := validateBenchmarkUsage(usage); issue != "" { + call.issueKind = UsageIssueInconsistent call.APIEqIssue = issue call.apiEqFinalized = true r.apiEqInconsistentUsageCalls++ return } call.APIEqUSD, call.APIEqKnown, call.APIEqIssue = EstimateStandardAPIEqCost(call.Model, usage) + if call.APIEqKnown && usage.InputTokens > 272_000 && + (strings.EqualFold(strings.TrimSpace(call.RequestedServiceTier), "fast") || strings.EqualFold(strings.TrimSpace(call.RequestedServiceTier), "priority")) && + (pricedModelName(call.Model) == "gpt-5.4" || pricedModelName(call.Model) == "gpt-5.5") { + call.APIEqKnown = false + call.APIEqIssue = "no maintained long-context Fast price for model " + call.Model + } if call.APIEqKnown { call.APIEqTierPremiumUSD, call.APIEqKnown = requestedTierPremium(call.Model, call.RequestedServiceTier, call.APIEqUSD) if !call.APIEqKnown { diff --git a/internal/codex/service_tier_test.go b/internal/codex/service_tier_test.go index 284bd20..85daf3d 100644 --- a/internal/codex/service_tier_test.go +++ b/internal/codex/service_tier_test.go @@ -29,9 +29,9 @@ func TestRequestedTierPremium(t *testing.T) { {" GPT-6-ASTRA-2026-09-01 ", " PRIORITY ", 3, true}, {"gpt-6-astra", "default", 0, true}, {"gpt-6-astra", "", 0, true}, - {"gpt-6-astra", "flex", 0, false}, + {"gpt-6-astra", "flex", -1.5, true}, {"gpt-6-astra-preview", "fast", 0, false}, - {"gpt-5.4", "fast", 0, false}, + {"gpt-5.4", "fast", 3, true}, {"unknown", "fast", 0, false}, } { t.Run(test.model+test.tier, func(t *testing.T) { @@ -206,3 +206,28 @@ func TestTierAccountingIsPerSession(t *testing.T) { } } } + +func TestVerifiedTierPricingForAstraAndFallbacks(t *testing.T) { + for _, input := range []int64{272000, 272001} { + u := BenchmarkUsage{InputTokens: input, CachedInputTokens: 1000, CacheWriteInputTokens: 2000, OutputTokens: 100, ReasoningOutputTokens: 80, TotalTokens: input + 100} + standard, _, _ := EstimateStandardAPIEqCost("gpt-6-astra", u) + for tier, factor := range map[string]float64{"default": 1, "fast": 2, "ultrafast": 6, "flex": 0.5} { + r := &LiveUsageReader{} + call := LiveModelCall{Model: "gpt-6-astra", RequestedServiceTier: tier} + r.finalizeCallPricing(&call, u) + if !call.APIEqKnown || r.apiEqUnknownCalls != 0 || math.Abs((r.apiEqUSD+r.apiEqTierPremiumUSD)-standard*factor) > 1e-12 { + t.Fatal("tier lost token classes or context boundary", input, tier, call) + } + } + } + u := BenchmarkUsage{InputTokens: 1000, CachedInputTokens: 100, OutputTokens: 100, TotalTokens: 1100} + cost, known, _ := EstimateStandardAPIEqCost("gpt-5.2-2025-12-11", u) + if !known || math.Abs(cost-(900*1.75+100*.175+100*14)/1e6) > 1e-12 { + t.Fatal("fallback snapshot not priced", cost, known) + } + for _, model := range []string{"gpt-reserve", "openai.gpt-6-astra", "gpt-6-astra-preview"} { + if _, known, _ := EstimateStandardAPIEqCost(model, u); known { + t.Fatal("unverified model/provider mapping guessed", model) + } + } +} diff --git a/internal/codex/usage_diagnostics.go b/internal/codex/usage_diagnostics.go new file mode 100644 index 0000000..bab07d1 --- /dev/null +++ b/internal/codex/usage_diagnostics.go @@ -0,0 +1,78 @@ +package codex + +import ( + "strings" + "time" +) + +type APIEqIssueKind string + +const ( + UsageIssueUnpriced APIEqIssueKind = "UNPRICED USAGE" + UsageIssueMissing APIEqIssueKind = "MISSING RESPONSE USAGE" + UsageIssueInconsistent APIEqIssueKind = "INCONSISTENT RESPONSE USAGE" +) + +// A bounded, process-local diagnostic contains accounting metadata only. +// Counter belongs to Kind; it prevents old failures attaching to new intervals. +type APIEqDiagnostic struct { + Kind APIEqIssueKind + ObservedAt time.Time + At time.Time + Counter int64 + SessionID string + Model string + ModelBasis string + Tier string + Effort string + Source string + ResponseID string + Reason string +} + +func (r *LiveUsageReader) rememberCallIssue(call LiveModelCall) { + kind := call.issueKind + if kind == "" { + kind = UsageIssueUnpriced + } + counter := r.apiEqUnknownCalls + if kind == UsageIssueMissing { + counter = r.apiEqMissingUsageCalls + } + if kind == UsageIssueInconsistent { + counter = r.apiEqInconsistentUsageCalls + } + r.apiEqDiagnostics = appendBounded(r.apiEqDiagnostics, APIEqDiagnostic{ + Kind: kind, Counter: counter, ObservedAt: time.Now(), At: call.At, SessionID: call.SessionID, Model: call.Model, ModelBasis: call.ModelBasis, Tier: call.RequestedServiceTier, + Effort: call.Effort, Source: call.UsageSource, ResponseID: call.ResponseID, Reason: call.APIEqIssue}, 32) +} + +// DiagnosticText is safe for terminal output and browser text. Preserve model +// and tier identifiers without retaining request content or arbitrary errors. +func DiagnosticText(issue APIEqDiagnostic) string { + field := func(value string, limit int) string { + value = strings.Join(strings.Fields(SanitizeSessionContext(value)), " ") + runes := []rune(value) + if len(runes) > limit { + value = string(runes[:limit]) + "…" + } + if value == "" { + return "unknown" + } + return value + } + basis := issue.ModelBasis + if basis == "" { + basis = "requested" + } + result := string(issue.Kind) + " // " + field(issue.Reason, 180) + "\n" + + "MODEL " + field(issue.Model, 96) + " (" + field(basis, 32) + ") // TIER " + field(issue.Tier, 32) + " // EFFORT " + field(issue.Effort, 16) + "\n" + + "SESSION " + field(issue.SessionID, 12) + " // SOURCE " + field(issue.Source, 48) + if issue.ResponseID != "" { + result += " // RESPONSE " + field(issue.ResponseID, 16) + } + if !issue.At.IsZero() { + result += " // AT " + issue.At.UTC().Format(time.RFC3339) + } + return result +} diff --git a/internal/ui/benchmark_quota.go b/internal/ui/benchmark_quota.go index 4c3eeca..8ac0c8a 100644 --- a/internal/ui/benchmark_quota.go +++ b/internal/ui/benchmark_quota.go @@ -4,6 +4,7 @@ import ( "fmt" "math" "strings" + "time" "charm.land/lipgloss/v2" @@ -19,15 +20,18 @@ type benchmarkBillingProvider interface { // ephemeral benchmark calls. These calls never enter the persisted rollout // reader, but subscription-funded calls do move the account quota windows. type benchmarkQuotaAccounting struct { - billingSource codex.BenchmarkBillingSource - revision uint64 - runSequence uint64 - active bool - settling bool - costUSD float64 - pricedCalls int64 - unpricedCalls int64 - accounted map[string]struct{} + billingSource codex.BenchmarkBillingSource + revision uint64 + runSequence uint64 + active bool + settling bool + costUSD float64 + pricedCalls int64 + unpricedCalls int64 + missingCalls int64 + inconsistentCalls int64 + diagnostics []codex.APIEqDiagnostic + accounted map[string]struct{} } func benchmarkQuotaAccountingFor(runner BenchmarkRunner) benchmarkQuotaAccounting { @@ -62,11 +66,15 @@ func (a *benchmarkQuotaAccounting) settle() { a.settling = false } -func (a *benchmarkQuotaAccounting) abandonActiveResult() { +func (a *benchmarkQuotaAccounting) abandonActiveResult(results ...codex.BenchmarkResult) { if a.billingSource != codex.BenchmarkBillingSubscription || !a.active { return } - a.unpricedCalls++ + result := codex.BenchmarkResult{} + if len(results) > 0 { + result = results[0] + } + a.recordIssue(result, codex.UsageIssueMissing, "benchmark cancelled before measured usage was available") a.revision++ } @@ -80,7 +88,7 @@ func (a *benchmarkQuotaAccounting) observe(result codex.BenchmarkResult) { } a.accounted[key] = struct{}{} - cost, known := benchmarkQuotaCost(result) + cost, known, kind, reason := benchmarkQuotaCostDetail(result) calls := int64(len(result.ResponseUsage)) if calls == 0 { calls = 1 @@ -91,34 +99,95 @@ func (a *benchmarkQuotaAccounting) observe(result codex.BenchmarkResult) { a.revision++ return } - a.unpricedCalls += calls + for i := int64(0); i < calls; i++ { + a.recordIssue(result, kind, reason) + } a.revision++ } -func benchmarkQuotaCost(result codex.BenchmarkResult) (float64, bool) { - if result.CostKnown && validBenchmarkQuotaCost(result.CostUSD) { - return result.CostUSD, true +func benchmarkQuotaCostDetail(result codex.BenchmarkResult) (float64, bool, codex.APIEqIssueKind, string) { + if result.CostKnown { + if validBenchmarkQuotaCost(result.CostUSD) { + return result.CostUSD, true, "", "" + } + return 0, false, codex.UsageIssueInconsistent, "benchmark returned an invalid measured cost" } model := strings.TrimSpace(result.ActualModel) if model == "" { model = result.Model } if !result.UsageKnown { - return 0, false + if result.UsageIssue != "" { + kind := codex.UsageIssueInconsistent + if strings.Contains(result.UsageIssue, "omitted") || strings.Contains(result.UsageIssue, "not observed") { + kind = codex.UsageIssueMissing + } + return 0, false, kind, result.UsageIssue + } + return 0, false, codex.UsageIssueMissing, "benchmark omitted validated response usage" } if result.UsageSource == codex.BenchmarkUsageRawResponses && len(result.ResponseUsage) > 0 { var total float64 for _, response := range result.ResponseUsage { - cost, known, _ := codex.EstimateStandardAPIEqCost(model, response.Usage) + responseModel := response.Model + if responseModel == "" { + responseModel = model + } + cost, known, issue := codex.EstimateStandardAPIEqCost(responseModel, response.Usage) if !known { - return 0, false + return 0, false, benchmarkCostIssueKind(issue), issue } total += cost } - return total, validBenchmarkQuotaCost(total) + return total, validBenchmarkQuotaCost(total), codex.UsageIssueInconsistent, "benchmark cost total was not finite" + } + cost, known, issue := codex.EstimateStandardAPIEqAggregateCost(model, result.Usage) + return cost, known && validBenchmarkQuotaCost(cost), benchmarkCostIssueKind(issue), issue +} + +func benchmarkCostIssueKind(reason string) codex.APIEqIssueKind { + if strings.HasPrefix(reason, "invalid usage:") { + return codex.UsageIssueInconsistent + } + return codex.UsageIssueUnpriced +} + +func (a *benchmarkQuotaAccounting) recordIssue(result codex.BenchmarkResult, kind codex.APIEqIssueKind, reason string) { + var counter int64 + switch kind { + case codex.UsageIssueMissing: + a.missingCalls++ + counter = a.missingCalls + case codex.UsageIssueInconsistent: + a.inconsistentCalls++ + counter = a.inconsistentCalls + default: + kind = codex.UsageIssueUnpriced + a.unpricedCalls++ + counter = a.unpricedCalls + } + model := result.ActualModel + if model == "" { + model = result.Model + } + responseID := "" + if !result.CostKnown && result.UsageKnown && result.UsageSource == codex.BenchmarkUsageRawResponses { + for _, response := range result.ResponseUsage { + responseModel := response.Model + if responseModel == "" { + responseModel = model + } + if _, known, _ := codex.EstimateStandardAPIEqCost(responseModel, response.Usage); !known { + model = responseModel + responseID = response.ResponseID + break + } + } + } + a.diagnostics = append(a.diagnostics, codex.APIEqDiagnostic{Kind: kind, Counter: counter, ObservedAt: time.Now(), At: time.Now(), SessionID: "benchmark", Model: model, Effort: result.Effort, Source: "subscription benchmark", ResponseID: responseID, Reason: reason}) + if len(a.diagnostics) > 32 { + a.diagnostics = a.diagnostics[len(a.diagnostics)-32:] } - cost, known, _ := codex.EstimateStandardAPIEqAggregateCost(model, result.Usage) - return cost, known && validBenchmarkQuotaCost(cost) } func validBenchmarkQuotaCost(cost float64) bool { @@ -134,7 +203,31 @@ func (a benchmarkQuotaAccounting) combine(usage codex.LiveUsageSnapshot) codex.L // Benchmark results remain a standard-price comparison; their service // tier is not established by the benchmark result contract. usage.APIEqUnknownTierCalls += a.pricedCalls + all := append(append([]codex.APIEqDiagnostic(nil), usage.APIEqDiagnostics...), a.diagnostics...) + usage.APIEqMissingUsageCalls += a.missingCalls + usage.APIEqInconsistentUsageCalls += a.inconsistentCalls usage.APIEqUnpricedCalls += a.unpricedCalls + usage.APIEqDiagnostics = nil + for _, kind := range []codex.APIEqIssueKind{codex.UsageIssueUnpriced, codex.UsageIssueMissing, codex.UsageIssueInconsistent} { + var latest codex.APIEqDiagnostic + for _, diagnostic := range all { + if diagnostic.Kind == kind && (latest.Kind == "" || diagnostic.ObservedAt.After(latest.ObservedAt)) { + latest = diagnostic + } + } + if latest.Kind == "" { + continue + } + switch kind { + case codex.UsageIssueMissing: + latest.Counter = usage.APIEqMissingUsageCalls + case codex.UsageIssueInconsistent: + latest.Counter = usage.APIEqInconsistentUsageCalls + default: + latest.Counter = usage.APIEqUnpricedCalls + } + usage.APIEqDiagnostics = append(usage.APIEqDiagnostics, latest) + } if a.active { usage.APIEqPendingCalls++ } diff --git a/internal/ui/benchmark_quota_test.go b/internal/ui/benchmark_quota_test.go index 5075de7..02770cb 100644 --- a/internal/ui/benchmark_quota_test.go +++ b/internal/ui/benchmark_quota_test.go @@ -55,6 +55,7 @@ func TestSubscriptionBenchmarkAccountingFailsClosedForUnknownCost(t *testing.T) accounting.start() accounting.observe(codex.BenchmarkResult{ TaskID: codex.BenchmarkDigBench, TaskName: "DIGBENCH P-6", Model: "future-model", Effort: "high", + UsageKnown: true, Usage: codex.BenchmarkUsage{InputTokens: 100, OutputTokens: 10, TotalTokens: 110}, }) accounting.finish() combined := accounting.combine(codex.LiveUsageSnapshot{}) @@ -72,7 +73,7 @@ func TestSubscriptionBenchmarkAccountingRejectsInvalidKnownCost(t *testing.T) { }) accounting.finish() combined := accounting.combine(codex.LiveUsageSnapshot{}) - if combined.APIEqUSD != 0 || combined.APIEqPricedCalls != 0 || combined.APIEqUnpricedCalls != 1 { + if combined.APIEqUSD != 0 || combined.APIEqPricedCalls != 0 || combined.APIEqInconsistentUsageCalls != 1 || combined.APIEqUnpricedCalls != 0 { t.Fatalf("invalid known benchmark cost was accepted: %#v", combined) } } @@ -89,7 +90,7 @@ func TestSubscriptionBenchmarkAccountingRejectsUnvalidatedResponseUsage(t *testi }) accounting.finish() combined := accounting.combine(codex.LiveUsageSnapshot{}) - if combined.APIEqUSD != 0 || combined.APIEqPricedCalls != 0 || combined.APIEqUnpricedCalls != 1 { + if combined.APIEqUSD != 0 || combined.APIEqPricedCalls != 0 || combined.APIEqMissingUsageCalls != 1 || combined.APIEqUnpricedCalls != 0 { t.Fatalf("unvalidated response usage was accepted: %#v", combined) } } @@ -115,8 +116,8 @@ func TestSubscriptionBenchmarkAccountingFailsClosedForAbandonedActiveResult(t *t accounting.abandonActiveResult() accounting.finish() combined := accounting.combine(codex.LiveUsageSnapshot{}) - if combined.APIEqUnpricedCalls != 1 || combined.APIEqPricedCalls != 0 || combined.APIEqUSD != 0 { - t.Fatalf("abandoned benchmark result was not marked unpriced: %#v", combined) + if combined.APIEqMissingUsageCalls != 1 || combined.APIEqUnpricedCalls != 0 || combined.APIEqPricedCalls != 0 || combined.APIEqUSD != 0 { + t.Fatalf("abandoned benchmark result was not marked as missing response usage: %#v", combined) } } @@ -249,3 +250,31 @@ func TestSubscriptionBenchmarkRerunIsAccountedAgain(t *testing.T) { t.Fatalf("rerun accounting = %#v", combined) } } + +func TestBenchmarkDiagnosticDoesNotMaskNewerSessionFailure(t *testing.T) { + a := benchmarkQuotaAccounting{billingSource: codex.BenchmarkBillingSubscription} + a.start() + a.observe(codex.BenchmarkResult{Model: "unknown-benchmark", UsageKnown: true, Usage: codex.BenchmarkUsage{InputTokens: 100, OutputTokens: 10, TotalTokens: 110}}) + old := a.diagnostics[0].ObservedAt + current := codex.APIEqDiagnostic{Kind: codex.UsageIssueUnpriced, Counter: 1, Model: "unknown-live", SessionID: "live", Source: "exact response", ObservedAt: old.Add(time.Second)} + combined := a.combine(codex.LiveUsageSnapshot{APIEqUnpricedCalls: 1, APIEqDiagnostics: []codex.APIEqDiagnostic{current}}) + if len(combined.APIEqDiagnostics) != 1 || combined.APIEqDiagnostics[0].Model != "unknown-live" || combined.APIEqDiagnostics[0].Counter != 2 { + t.Fatal("stale benchmark masked live failure", combined) + } +} + +func TestBenchmarkFailureIdentifiesEarlierResponseModelAndCancellationTrial(t *testing.T) { + a := benchmarkQuotaAccounting{billingSource: codex.BenchmarkBillingSubscription} + a.start() + usage := codex.BenchmarkUsage{InputTokens: 100, OutputTokens: 10, TotalTokens: 110} + a.observe(codex.BenchmarkResult{Model: "gpt-6-astra", ActualModel: "gpt-6-astra", Effort: "xhigh", UsageKnown: true, UsageSource: codex.BenchmarkUsageRawResponses, ResponseUsage: []codex.BenchmarkResponseUsage{{ResponseID: "failed", Model: "gpt-reserve", Usage: usage}, {ResponseID: "later", Model: "gpt-6-astra", Usage: usage}}}) + issue := a.diagnostics[len(a.diagnostics)-1] + if issue.Model != "gpt-reserve" || issue.ResponseID != "failed" { + t.Fatal("failure attributed to final model rather than offending response", issue) + } + a.abandonActiveResult(codex.BenchmarkResult{Model: "gpt-6-astra", Effort: "xhigh"}) + issue = a.diagnostics[len(a.diagnostics)-1] + if issue.Kind != codex.UsageIssueMissing || issue.Model != "gpt-6-astra" || issue.Effort != "xhigh" { + t.Fatal("cancellation lost known trial metadata", issue) + } +} diff --git a/internal/ui/english_snapshot_test.go b/internal/ui/english_snapshot_test.go index bfab44d..0c93121 100644 --- a/internal/ui/english_snapshot_test.go +++ b/internal/ui/english_snapshot_test.go @@ -38,8 +38,8 @@ func TestEnglishPresentationSnapshot(t *testing.T) { got := fmt.Sprintf("%x", hash.Sum(nil)) // Baseline includes Pace graph controls, explicit panel/border // backgrounds and Sessions Zero/Close All; every theme, view and size - // remains covered. - const want = "19ec27af5176579e3145b5af72749d86f293f9ab00e7d3358970eeee0b513e50" + // remains covered. The displayed pricing review date is now 2026-10-12. + const want = "fc7b2b5381dd43bac332748c9fca6ac4c53abfacb130bfa49de64e76fe27f4ba" if got != want { t.Fatalf("English presentation changed: got %s, want %s", got, want) } diff --git a/internal/ui/model.go b/internal/ui/model.go index 0c31655..5c6585b 100644 --- a/internal/ui/model.go +++ b/internal/ui/model.go @@ -1224,7 +1224,7 @@ func (m Model) Update(message tea.Msg) (tea.Model, tea.Cmd) { case benchmarkEventMsg: if !message.ok { if m.benchmarkActive != nil { - m.benchmarkQuotaAccounting.abandonActiveResult() + m.benchmarkQuotaAccounting.abandonActiveResult(*m.benchmarkActive) } if m.benchmarkState == benchmarkStopping { m.benchmarkState = benchmarkStopped @@ -1288,7 +1288,7 @@ func (m Model) Update(message tea.Msg) (tea.Model, tea.Cmd) { } if event.Done { if m.benchmarkActive != nil && event.Result == nil { - m.benchmarkQuotaAccounting.abandonActiveResult() + m.benchmarkQuotaAccounting.abandonActiveResult(*m.benchmarkActive) } if event.Stopped { m.benchmarkState = benchmarkStopped @@ -1620,6 +1620,7 @@ func (m Model) dashboardLayout() dashboardGeometry { const footerHeight = 2 extraHeight := 0 extraHeight += m.resetNoticeHeight(contentWidth) + extraHeight += m.quotaAPIDiagnosticHeight(contentWidth) if m.err != nil && m.meterView != viewUsage { extraHeight += framedErrorHeight } diff --git a/internal/ui/quota_api_eq.go b/internal/ui/quota_api_eq.go index 2464bea..0470c7e 100644 --- a/internal/ui/quota_api_eq.go +++ b/internal/ui/quota_api_eq.go @@ -60,6 +60,7 @@ type quotaAPIAnchor struct { inconsistentUsageCalls int64 accountingAdjustments int64 restartReason string + restartIssue codex.APIEqDiagnostic } const ( @@ -144,7 +145,7 @@ func (m *Model) observeQuotaAPIEq(snapshot codex.Snapshot, usage codex.LiveUsage continue } if current.costUSD < anchor.costUSD || current.pricedCalls < anchor.pricedCalls || - current.unpricedCalls < anchor.unpricedCalls || current.premiumUSD < anchor.premiumUSD || + current.unpricedCalls < anchor.unpricedCalls || current.unknownTierCalls < anchor.unknownTierCalls || current.missingUsageCalls < anchor.missingUsageCalls || current.inconsistentUsageCalls < anchor.inconsistentUsageCalls || @@ -164,6 +165,7 @@ func (m *Model) observeQuotaAPIEq(snapshot codex.Snapshot, usage codex.LiveUsage } if current.unpricedCalls > anchor.unpricedCalls { current.restartReason = quotaAPIRestartUnpricedUsage + current.restartIssue = latestIntervalDiagnostic(usage, codex.UsageIssueUnpriced, anchor.unpricedCalls) m.quotaAPIAnchors[key] = current m.quotaAPIIssues[key] = "" continue @@ -171,8 +173,10 @@ func (m *Model) observeQuotaAPIEq(snapshot codex.Snapshot, usage codex.LiveUsage switch { case current.missingUsageCalls > anchor.missingUsageCalls: current.restartReason = quotaAPIRestartMissingUsage + current.restartIssue = latestIntervalDiagnostic(usage, codex.UsageIssueMissing, anchor.missingUsageCalls) case current.inconsistentUsageCalls > anchor.inconsistentUsageCalls: current.restartReason = quotaAPIRestartInconsistentUsage + current.restartIssue = latestIntervalDiagnostic(usage, codex.UsageIssueInconsistent, anchor.inconsistentUsageCalls) case current.accountingAdjustments > anchor.accountingAdjustments: current.restartReason = quotaAPIRestartAccountingRebased } @@ -272,7 +276,7 @@ func validQuotaAPISamples(samples []quotaAPISample, now time.Time) []quotaAPISam sample.DeltaPercent < quotaAPIMinimumDelta || !positiveFinite(sample.CapacityUSD) || !positiveFinite(sample.LowUSD) || !positiveFinite(sample.HighUSD) || math.IsNaN(sample.PremiumCapacityUSD) || math.IsInf(sample.PremiumCapacityUSD, 0) || - sample.PremiumCapacityUSD < 0 || sample.PremiumCapacityUSD >= sample.CapacityUSD || + sample.PremiumCapacityUSD >= sample.CapacityUSD || sample.LowUSD > sample.CapacityUSD || sample.CapacityUSD > sample.HighUSD { continue } @@ -329,7 +333,7 @@ func (m Model) quotaAPIEstimate(snapshot codex.Snapshot, meter codex.Meter) (quo highs = append(highs, sample.HighUSD) centers = append(centers, sample.CapacityUSD) standardCenters = append(standardCenters, sample.CapacityUSD-sample.PremiumCapacityUSD) - hasPremium = hasPremium || sample.PremiumCapacityUSD > 0 + hasPremium = hasPremium || sample.PremiumCapacityUSD != 0 unknownTier = unknownTier || sample.UnknownTier totalDelta += sample.DeltaPercent } @@ -515,3 +519,74 @@ func formatUSD(value float64) string { return fmt.Sprintf("$%.0f", value) } } + +func latestIntervalDiagnostic(usage codex.LiveUsageSnapshot, kind codex.APIEqIssueKind, after int64) codex.APIEqDiagnostic { + for i := len(usage.APIEqDiagnostics) - 1; i >= 0; i-- { + issue := usage.APIEqDiagnostics[i] + if issue.Kind == kind && issue.Counter > after { + return issue + } + } + return codex.APIEqDiagnostic{} +} + +func (m Model) quotaAPIDiagnostic() codex.APIEqDiagnostic { + if !m.meterView.isQuota() { + return codex.APIEqDiagnostic{} + } + for _, meter := range m.snapshot.Meters() { + if quotaAPIMeterEligible(m.snapshot, meter) { + if issue := m.quotaAPIAnchors[quotaAPIKey(m.snapshot, meter)].restartIssue; issue.Kind != "" { + return issue + } + } + } + return codex.APIEqDiagnostic{} +} + +func (m Model) renderQuotaAPIDiagnostic(width int) string { + issue := m.quotaAPIDiagnostic() + if issue.Kind == "" { + return "" + } + c := paletteFor(m.theme) + text := codex.DiagnosticText(issue) + lines := strings.Split(ansi.Hardwrap(text, max(width-4, 1), true), "\n") + // A diagnostic must not push the footer off a short terminal. Preserve the + // reason first, with bounded metadata rows; the browser retains the full text. + height := m.height + if height == 0 { + height = 24 + } + header := 3 + if width < 64 { + header = 2 + } + tabs := 2 + if isQuotaGraph(m.meterView) { + tabs++ + } + meters := len(m.snapshot.Meters()) + columns := meterGridColumns(width, max(height-2, 1), meters, m.meterView) + minimumMeters := ((meters + columns - 1) / columns) * 3 + available := height - 2 - header - 1 - tabs - 2 - minimumMeters - m.resetNoticeHeight(width) + if m.err != nil { + available -= 3 + } + if available < 3 { + return "" + } + limit := min(max(height/3-2, 1), available-2) + if len(lines) > limit { + lines = lines[:limit] + lines[len(lines)-1] = ansi.Truncate(lines[len(lines)-1], max(width-5, 1), "") + "…" + } + return frame(width, "API-EQ ISSUE", c.label().Render(strings.Join(lines, "\n")), c.primary, c) +} + +func (m Model) quotaAPIDiagnosticHeight(width int) int { + if view := m.renderQuotaAPIDiagnostic(width); view != "" { + return strings.Count(view, "\n") + 1 + } + return 0 +} diff --git a/internal/ui/quota_api_eq_test.go b/internal/ui/quota_api_eq_test.go index 883f559..4916e2b 100644 --- a/internal/ui/quota_api_eq_test.go +++ b/internal/ui/quota_api_eq_test.go @@ -433,3 +433,63 @@ func TestQuotaAccountingBracketIncludesUsageIssuesAndAdjustments(t *testing.T) { } } } + +func TestQuotaFlexDiscountLearnsWithoutFalseRebase(t *testing.T) { + now := time.Now() + reset := now.Add(4 * time.Hour).Unix() + m := New(nil, time.Minute) + m.snapshot = apiEqSnapshot(10, reset) + m.observeQuotaAPIEq(m.snapshot, codex.LiveUsageSnapshot{}, now) + m.snapshot = apiEqSnapshot(15, reset) + m.observeQuotaAPIEq(m.snapshot, codex.LiveUsageSnapshot{APIEqUSD: 2, APIEqTierPremiumUSD: -1, APIEqPricedCalls: 1}, now.Add(time.Minute)) + estimate, ok := m.quotaAPIEstimate(m.snapshot, m.snapshot.Meters()[0]) + if !ok || !estimate.hasPremium || math.Abs(estimate.standardFull-40) > 1e-12 { + t.Fatal("discount mistaken for accounting regression", m.quotaAPIAnchors, estimate) + } + if !strings.Contains(m.quotaAPILine(m.snapshot.Meters()[0], 120), "TIER*") { + t.Fatal("discount lost requested-tier qualifier") + } +} + +func TestQuotaFailureDiagnosticRetainsSourceAndRejectsOldAttribution(t *testing.T) { + now := time.Now() + reset := now.Add(4 * time.Hour).Unix() + m := New(nil, time.Minute) + m.width, m.height = 100, 35 + m.loading = false + m.snapshot = apiEqSnapshot(10, reset) + m.observeQuotaAPIEq(m.snapshot, codex.LiveUsageSnapshot{APIEqUnpricedCalls: 1}, now) + m.snapshot = apiEqSnapshot(12, reset) + issue := codex.APIEqDiagnostic{Kind: codex.UsageIssueUnpriced, Counter: 2, SessionID: "child-agent", Model: "gpt-reserve", Tier: "fast", Effort: "xhigh", Source: "exact response", Reason: "no maintained standard API price for model gpt-reserve"} + m.observeQuotaAPIEq(m.snapshot, codex.LiveUsageSnapshot{APIEqUnpricedCalls: 2, APIEqDiagnostics: []codex.APIEqDiagnostic{issue}}, now.Add(time.Minute)) + view := ansi.Strip(m.render()) + for _, want := range []string{"UNPRICED USAGE", "child-agent", "gpt-reserve", "fast", "xhigh", "exact response", "no maintained standard API price"} { + if !strings.Contains(view, want) { + t.Fatal("diagnostic omitted", want, view) + } + } + m.snapshot = apiEqSnapshot(13, reset) + m.observeQuotaAPIEq(m.snapshot, codex.LiveUsageSnapshot{APIEqUnpricedCalls: 3, APIEqDiagnostics: []codex.APIEqDiagnostic{issue}}, now.Add(2*time.Minute)) + if m.quotaAPIDiagnostic().Kind != "" { + t.Fatal("old diagnostic assigned to a new failure") + } +} + +func TestQuotaDiagnosticPreservesFooterAcrossTerminalSizes(t *testing.T) { + now := time.Now() + reset := now.Add(time.Hour).Unix() + for _, size := range [][2]int{{40, 16}, {80, 18}, {80, 24}, {120, 35}} { + m := New(nil, time.Minute) + m.width, m.height = size[0], size[1] + m.loading = false + m.snapshot = apiEqSnapshot(10, reset) + m.observeQuotaAPIEq(m.snapshot, codex.LiveUsageSnapshot{}, now) + m.snapshot = apiEqSnapshot(12, reset) + issue := codex.APIEqDiagnostic{Kind: codex.UsageIssueUnpriced, Counter: 1, SessionID: "child", Model: "gpt-reserve", Tier: "fast", Source: "exact response", Reason: "no maintained standard API price for model gpt-reserve"} + m.observeQuotaAPIEq(m.snapshot, codex.LiveUsageSnapshot{APIEqUnpricedCalls: 1, APIEqDiagnostics: []codex.APIEqDiagnostic{issue}}, now.Add(time.Second)) + view := ansi.Strip(m.render()) + if strings.Count(view, "\n")+1 > size[1] { + t.Fatal("diagnostic pushed controls off screen", size, view) + } + } +} diff --git a/internal/ui/view.go b/internal/ui/view.go index 4406add..f1d4fd3 100644 --- a/internal/ui/view.go +++ b/internal/ui/view.go @@ -67,6 +67,9 @@ func (m Model) render() string { if m.meterView.isQuota() && m.resetNotice != "" { parts = append(parts, m.renderResetNotice(contentWidth)) } + if diagnostic := m.renderQuotaAPIDiagnostic(contentWidth); diagnostic != "" { + parts = append(parts, diagnostic) + } meters := m.snapshot.Meters() if m.meterView.isQuota() && m.meterView != viewResets && m.meterView != viewThresholds { meters = m.quotaMetersWithInsights(contentWidth) diff --git a/internal/web/dist/assets/index-Bd-Jwk4i.js b/internal/web/dist/assets/index-BWH3mrUB.js similarity index 77% rename from internal/web/dist/assets/index-Bd-Jwk4i.js rename to internal/web/dist/assets/index-BWH3mrUB.js index ea7c245..96305c6 100644 --- a/internal/web/dist/assets/index-Bd-Jwk4i.js +++ b/internal/web/dist/assets/index-BWH3mrUB.js @@ -5,41 +5,42 @@ observation.

`),xa=J(`

`),Sa=J(`

The longest Codex quota window selects one active model profile. ASK creates a per-session review; AUTO applies the profile on the next eligible check.

`,1),Ca=J(`

No threshold-based model steps were configured at launch.

`);function wa(e,t){Ue(t,!1),Ri();var n=Nr(),r=B(n),i=e=>{var t=Sa(),n=B(t),r=V(n),i=H(n,2),a=e=>{Y(e,ba())};Z(i,e=>{$.data.quotaError&&e(a)});var o=H(i,2),s=z(o),c=V(s),l=H(s,4);Xr(l,5,()=>$.data.thresholds,Kr,(e,t)=>{var n=xa();let r;var i=z(n),a=V(i),o=H(i,2),s=z(o),c=V(s,!0),l=V(H(s,2));P(o);var u=H(o,2),d=V(u,!0),f=V(H(u,2));P(n),U((e,i)=>{r=ci(n,1,``,null,r,{active:K(t).state===`ACTIVE`,next:K(t).state===`NEXT`}),X(a,`${K(t).threshold??``}%`),X(c,K(t).model),X(l,`${e??``} REASONING // ${i??``} - SPEED`),X(d,K(t).mode),X(f,`${K(t).state??``}${K(t).state===`NEXT`?` // ${K(t).remaining||0} PP TO GO`:``}`)},[()=>K(t).effort.toUpperCase(),()=>K(t).speed.toUpperCase()]),Y(e,n)}),P(l),P(o),U(e=>{X(r,`MODEL STEP POLICY // OBSERVED ${e??``}`),X(c,`THRESHOLDS // ${$.data.thresholds.length??``} CONFIGURED`)},[()=>ma($.data.quotaAt)]),Y(e,t)},a=e=>{Y(e,Ca())};Z(r,e=>{$.data?.thresholds?.length?e(i):e(a,-1)}),Y(e,n),We()}var Ta=jr(` `,1),Ea=jr(` `,1),Da=jr(` `,1),Oa=jr(` `,1),ka=J(`
`,1),Aa=J(` `),ja=J(`
Quota observations
Observed atPeriod elapsedConsumedTrail segment
`),Ma=J(`
OBSERVATION DATA
`),Na=J(`
CONSUMPTIONQUOTA PERIOD ELAPSED


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No available matching commands.

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        Read only — reply or approve in Codex.

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        `),Xs=J(`QUOTA THRESHOLD // REVIEW PROFILE ↗`),Zs=J(`
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        ← ALL SESSIONS

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        This session is no longer in the current observation. Return to sessions.

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        `),tc=J(``),nc=J(`

        `),rc=J(` `),ic=J(`

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        TOKEN ACTIVITY // 30 SECOND SAMPLES

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        TOKENS

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        ↑ ↓ SELECT SESSION // ← LESS DETAIL // → MORE DETAIL // ESC BACK

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        SESSION TOTALS

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        Selected breakdown unavailable; missing does not mean zero.

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        `,1);function Ec(e,t){Ue(t,!0);let n=L(`surface`),r=L(0),i=F(()=>t.reports?.daily),a=F(()=>t.reports?.plan),o=F(()=>t.mode===`breakdown`?K(i)?.days.length||0:K(a)?.periods.length||0),s=F(()=>Math.min(K(r),Math.max(0,K(o)-1))),c=F(()=>K(i)?.days[(K(i)?.days.length||0)-1-K(s)]),l=F(()=>K(a)?.periods[K(s)]),u=F(()=>t.mode===`breakdown`?K(i)?.units||``:`%`),d=F(()=>{let e=Object.create(null);if(t.mode===`breakdown`)e=K(c)?.groups[K(n)]||{};else{let t=K(n)===`feature`?`thread_source`:K(n)===`task start`?`turn_trigger`:K(n);for(let n of K(l)?.breakdowns||[])if(n.dimension===t)for(let t of n.rows)e[t.key]=(e[t.key]||0)+t.basis_points/100}return Object.entries(e).sort((e,t)=>t[1]-e[1]||e[0].localeCompare(t[0]))}),f=F(()=>t.mode===`breakdown`?K(c)?.total:K(l)?.used_basis_points==null?null:K(l).used_basis_points/100),p=F(()=>Math.max(1,K(f)||0,...K(d).map(([,e])=>e))),m=e=>e==null?`UNKNOWN`:e.toLocaleString(`en-GB`,{maximumFractionDigits:2});var h=Tc(),g=B(h),v=z(g),y=H(z(v)),b=z(y);b.value=b.__value=`surface`;var x=H(b);x.value=x.__value=`model`;var S=H(x);S.value=S.__value=`feature`;var C=H(S);C.value=C.__value=`task start`,P(y),mi(y),P(v);var w=H(v,2),T=H(w,2),E=V(H(T,2),!0);P(g);var D=H(g,2),ee=z(D),te=V(ee,!0),O=H(ee,2),k=V(O),ne=H(O,2),re=e=>{var t=hc(),n=B(t),r=V(n),a=H(n,2),o=e=>{var t=mc(),n=V(t);U(()=>X(n,`Data as of ${K(i).dataAsOf??``}`)),Y(e,t)};Z(a,e=>{K(i).dataAsOf&&e(o)});var s=V(H(a,2));xe(2),U((e,t)=>{X(r,`Latest fetch ${e??``} // queried ${K(i).from??``} → ${K(i).through??``}. Reports are fetched from OpenAI and are not saved between runs.`),X(s,`${(K(c)?.date||`No daily buckets reported`)??``} // ${t??``} - ${K(u)??``}`)},[()=>ma(K(i).fetchedAt),()=>m(K(f))]),Y(e,t)},ie=e=>{var t=vc(),n=B(t),r=z(n);let i;var o=V(r,!0),s=H(r),c=e=>{Y(e,hc())};Z(s,e=>{K(a).approximate&&e(c)});var u=H(s);P(n);var d=H(n,2),p=z(d),h=H(p),g=e=>{var t=Mr();U(()=>X(t,`// Boundary tolerance ${K(a).boundary_tolerance_seconds??``}s`)),Y(e,t)};Z(h,e=>{K(a).boundary_tolerance_seconds!=null&&e(g)}),P(d);var _=H(d,2),v=e=>{var t=_c(),n=B(t),r=z(n),i=H(r);let a;var o=V(i);P(n);var s=H(n,2),c=V(s),u=H(s,2),d=e=>{Y(e,gc())};Z(u,e=>{K(l).accounting_complete||e(d)}),xe(2),U(e=>{X(r,`${K(l).window_minutes??``} MIN // ${K(l).plan_type??``} // `),a=ci(i,1,`svelte-1fbui7h`,null,a,{muted:K(f)==null,"quota-near":K(f)!=null&&K(f)>=80&&K(f)<100,"quota-full":K(f)!=null&&K(f)>=100}),X(o,`USED ${e??``}${K(f)==null?``:`%`}`),X(c,`${K(l).starts_at??``} → ${K(l).ends_at??``}`)},[()=>m(K(f))]),Y(e,t)};Z(_,e=>{K(l)&&e(v)}),U(e=>{i=ci(r,1,`svelte-1fbui7h`,null,i,{"quality-warning":!K(a).coverage_complete}),X(o,K(a).coverage_complete?`Reported range complete`:`Partial coverage`),X(u,` // Latest fetch ${e??``}`),X(p,`Coverage starts ${(K(a).coverage_start||`unknown`)??``} // Data as of ${(K(a).data_as_of||`unknown`)??``}`)},[()=>ma(K(a).fetchedAt)]),Y(e,t)},ae=e=>{Y(e,yc())};Z(ne,e=>{t.mode===`breakdown`&&K(i)?e(re):t.mode===`periods`&&K(a)?e(ie,1):e(ae,-1)});var oe=H(ne,2),se=e=>{var n=xc(),r=z(n),i=V(H(z(r),2),!0);P(r),Xr(H(r,2),17,()=>K(d),Kr,(e,n,r)=>{var i=F(()=>_(K(n),2));let a=()=>K(i)[0],o=()=>K(i)[1];var s=bc();let c;var l=z(s),u=V(l,!0),d=H(l,2),f=z(d);let h;P(d);var g=V(H(d,2));P(s),U((e,n,i)=>{c=ci(s,1,`report-row svelte-1fbui7h`,null,c,{unknown:e,alternate:r%2==1}),Q(l,`title`,a()),X(u,a()),h=ui(f,``,h,{width:n}),X(g,`${i??``}${t.mode===`periods`?`%`:``}`)},[()=>a().trim().toLowerCase()===`unknown`,()=>`${Math.max(0,100*o()/K(p))}%`,()=>m(o())]),Y(e,s)}),P(n),U(()=>X(i,t.mode===`breakdown`?K(u):`QUOTA USED`)),Y(e,n)},A=e=>{Y(e,Sc())},ce=e=>{Y(e,Cc())};Z(oe,e=>{K(d).length?e(se):t.mode===`breakdown`&&K(c)?.total===0&&K(c)?.groups[K(n)]!=null?e(A,1):(K(i)&&t.mode===`breakdown`||K(a)&&t.mode===`periods`)&&e(ce,2)}),P(D),U(()=>{w.disabled=K(s)>=K(o)-1,T.disabled=K(s)===0,X(E,K(o)?`${K(s)+1} / ${K(o)}`:`NO DATA`),X(te,t.mode===`breakdown`?`DAILY BREAKDOWN`:`QUOTA WINDOWS`),X(k,`${(t.mode===`breakdown`?t.reports?.dailyStatus||`UNAVAILABLE`:t.reports?.planStatus||`UNAVAILABLE`)??``} // UTC`)}),hi(y,()=>K(n),e=>R(n,e)),q(`click`,w,()=>R(r,K(s)+1)),q(`click`,T,()=>R(r,K(s)-1)),Y(e,h),We()}Sr([`click`]);var Ec=864e5;function Dc(e,t){let n=new Date(e);n.setUTCDate(1),n.setUTCMonth(n.getUTCMonth()+t);let r=new Date(Date.UTC(n.getUTCFullYear(),n.getUTCMonth()+1,0)).getUTCDate();return n.setUTCDate(Math.min(e.getUTCDate(),r)),n}function Oc(e,t,n){let r=new Date(Date.UTC(e.getUTCFullYear(),e.getUTCMonth(),e.getUTCDate()));for(let e=0;;e++){let i=Dc(r,-t),a=new Date(i.getTime()+Ec);if(e===n)return{start:a,end:r};r=i}}var kc=J(``),Ac=J(``,1),jc=J(`

        History refresh failed. Any displayed history is the last successful - observation.

        `),Mc=J(`

        Token history unavailable; other reports may still be available.

        `),Nc=J(``),Pc=J(`
        `),Fc=J(`

        LESS ░ ▒ ▓ █ MORE // HOVER FOR DATE AND TOKENS

        `,1),Ic=J(`
        `,1),Lc=J(` `),Rc=J(`

        LIFETIME TOKENS

        PEAK DAY

        CURRENT STREAK

        DAYS

        LONGEST TURN

        SECONDS

        LONGEST STREAK

        DAYS

        OPENAI // UTC

        Accessible data table
        Date (UTC)Tokens

        `,1),zc=J(`

        History unavailable or awaiting a matching account observation. Missing - history is not treated as zero usage.

        `),Bc=J(`

        USAGE // ACCOUNT HISTORY

        Account-wide history reported by Codex, not the local Sessions counter. Dates + ${K(u)??``}`)},[()=>ma(K(i).fetchedAt),()=>m(K(f))]),Y(e,t)},ie=e=>{var t=yc(),n=B(t),r=z(n);let i;var o=V(r,!0),s=H(r),c=e=>{Y(e,gc())};Z(s,e=>{K(a).approximate&&e(c)});var u=H(s);P(n);var d=H(n,2),p=z(d),h=H(p),g=e=>{var t=Mr();U(()=>X(t,`// Boundary tolerance ${K(a).boundary_tolerance_seconds??``}s`)),Y(e,t)};Z(h,e=>{K(a).boundary_tolerance_seconds!=null&&e(g)}),P(d);var _=H(d,2),v=e=>{var t=vc(),n=B(t),r=z(n),i=H(r);let a;var o=V(i);P(n);var s=H(n,2),c=V(s),u=H(s,2),d=e=>{Y(e,_c())};Z(u,e=>{K(l).accounting_complete||e(d)}),xe(2),U(e=>{X(r,`${K(l).window_minutes??``} MIN // ${K(l).plan_type??``} // `),a=ci(i,1,`svelte-1fbui7h`,null,a,{muted:K(f)==null,"quota-near":K(f)!=null&&K(f)>=80&&K(f)<100,"quota-full":K(f)!=null&&K(f)>=100}),X(o,`USED ${e??``}${K(f)==null?``:`%`}`),X(c,`${K(l).starts_at??``} → ${K(l).ends_at??``}`)},[()=>m(K(f))]),Y(e,t)};Z(_,e=>{K(l)&&e(v)}),U(e=>{i=ci(r,1,`svelte-1fbui7h`,null,i,{"quality-warning":!K(a).coverage_complete}),X(o,K(a).coverage_complete?`Reported range complete`:`Partial coverage`),X(u,` // Latest fetch ${e??``}`),X(p,`Coverage starts ${(K(a).coverage_start||`unknown`)??``} // Data as of ${(K(a).data_as_of||`unknown`)??``}`)},[()=>ma(K(a).fetchedAt)]),Y(e,t)},ae=e=>{Y(e,bc())};Z(ne,e=>{t.mode===`breakdown`&&K(i)?e(re):t.mode===`periods`&&K(a)?e(ie,1):e(ae,-1)});var oe=H(ne,2),se=e=>{var n=Sc(),r=z(n),i=V(H(z(r),2),!0);P(r),Xr(H(r,2),17,()=>K(d),Kr,(e,n,r)=>{var i=F(()=>_(K(n),2));let a=()=>K(i)[0],o=()=>K(i)[1];var s=xc();let c;var l=z(s),u=V(l,!0),d=H(l,2),f=z(d);let h;P(d);var g=V(H(d,2));P(s),U((e,n,i)=>{c=ci(s,1,`report-row svelte-1fbui7h`,null,c,{unknown:e,alternate:r%2==1}),Q(l,`title`,a()),X(u,a()),h=ui(f,``,h,{width:n}),X(g,`${i??``}${t.mode===`periods`?`%`:``}`)},[()=>a().trim().toLowerCase()===`unknown`,()=>`${Math.max(0,100*o()/K(p))}%`,()=>m(o())]),Y(e,s)}),P(n),U(()=>X(i,t.mode===`breakdown`?K(u):`QUOTA USED`)),Y(e,n)},A=e=>{Y(e,Cc())},ce=e=>{Y(e,wc())};Z(oe,e=>{K(d).length?e(se):t.mode===`breakdown`&&K(c)?.total===0&&K(c)?.groups[K(n)]!=null?e(A,1):(K(i)&&t.mode===`breakdown`||K(a)&&t.mode===`periods`)&&e(ce,2)}),P(D),U(()=>{w.disabled=K(s)>=K(o)-1,T.disabled=K(s)===0,X(E,K(o)?`${K(s)+1} / ${K(o)}`:`NO DATA`),X(te,t.mode===`breakdown`?`DAILY BREAKDOWN`:`QUOTA WINDOWS`),X(k,`${(t.mode===`breakdown`?t.reports?.dailyStatus||`UNAVAILABLE`:t.reports?.planStatus||`UNAVAILABLE`)??``} // UTC`)}),hi(y,()=>K(n),e=>R(n,e)),q(`click`,w,()=>R(r,K(s)+1)),q(`click`,T,()=>R(r,K(s)-1)),Y(e,h),We()}Sr([`click`]);var Dc=864e5;function Oc(e,t){let n=new Date(e);n.setUTCDate(1),n.setUTCMonth(n.getUTCMonth()+t);let r=new Date(Date.UTC(n.getUTCFullYear(),n.getUTCMonth()+1,0)).getUTCDate();return n.setUTCDate(Math.min(e.getUTCDate(),r)),n}function kc(e,t,n){let r=new Date(Date.UTC(e.getUTCFullYear(),e.getUTCMonth(),e.getUTCDate()));for(let e=0;;e++){let i=Oc(r,-t),a=new Date(i.getTime()+Dc);if(e===n)return{start:a,end:r};r=i}}var Ac=J(``),jc=J(``,1),Mc=J(`

        History refresh failed. Any displayed history is the last successful + observation.

        `),Nc=J(`

        Token history unavailable; other reports may still be available.

        `),Pc=J(``),Fc=J(`
        `),Ic=J(`

        LESS ░ ▒ ▓ █ MORE // HOVER FOR DATE AND TOKENS

        `,1),Lc=J(`
        `,1),Rc=J(` `),zc=J(`

        LIFETIME TOKENS

        PEAK DAY

        CURRENT STREAK

        DAYS

        LONGEST TURN

        SECONDS

        LONGEST STREAK

        DAYS

        OPENAI // UTC

        Accessible data table
        Date (UTC)Tokens

        `,1),Bc=J(`

        History unavailable or awaiting a matching account observation. Missing + history is not treated as zero usage.

        `),Vc=J(`

        USAGE // ACCOUNT HISTORY

        Account-wide history reported by Codex, not the local Sessions counter. Dates use UTC. Allowance history is approximate where indicated; reset causes are - not provided.

        `,1);function Vc(e,t){Ue(t,!0);let n=L(`daily`),r=L(12),i=L(0),a=F(()=>{let e=$.data?.usage?.dailyUsageBuckets;if(!e)return[];let{start:t,end:n}=Oc(new Date,K(r),K(i)),a=new Map;for(let t of e)!Number.isFinite(t.tokens)||t.tokens<0||a.set(t.startDate,(a.get(t.startDate)||0)+t.tokens);let o=[];for(let e=t;e<=n;e=new Date(e.getTime()+864e5)){let t=e.toISOString().slice(0,10);o.push({date:t,tokens:a.get(t)||0})}return o}),o=F(()=>Math.max(1,...K(a).map(e=>e.tokens))),s=F(()=>K(a).length?new Date(K(a)[0].date+`T00:00:00Z`).getUTCDay():0),c=F(()=>{if(K(n)===`monthly`){let e=new Map;for(let t of K(a))e.set(t.date.slice(0,7),(e.get(t.date.slice(0,7))||0)+t.tokens);return[...e].map(([e,t])=>({date:e,tokens:t}))}let e=0;return K(a).map(t=>({date:t.date,tokens:e+=t.tokens}))});var l=Bc(),u=H(B(l),4);Xr(u,20,()=>[[`daily`,`Daily`],[`monthly`,`Monthly`],[`cumulative`,`Cumulative`],[`breakdown`,`Breakdown`],[`periods`,`Windows`]],Kr,(e,t)=>{var r=F(()=>_(t,2));let a=()=>K(r)[0],o=()=>K(r)[1];var s=kc();let c;var l=V(s,!0);U(()=>{Q(s,`aria-pressed`,K(n)===a()),c=ci(s,1,``,null,c,{active:K(n)===a()}),X(l,o())}),q(`click`,s,()=>{R(n,a(),!0),R(i,0)}),Y(e,s)}),P(u);var d=H(u,2),f=z(d),p=e=>{var t=Ac(),n=B(t),a=H(z(n)),o=z(a);o.value=o.__value=6;var s=H(o);s.value=s.__value=12,P(a),mi(a),P(n);var c=H(n),l=H(c);U(()=>l.disabled=K(i)===0),q(`change`,a,()=>R(i,0)),hi(a,()=>K(r),e=>R(r,e)),q(`click`,c,()=>Kt(i)),q(`click`,l,()=>Kt(i,-1)),Y(e,t)};Z(f,e=>{K(n)!==`breakdown`&&K(n)!==`periods`&&e(p)}),P(d);var m=H(d,2),h=e=>{Y(e,jc())};Z(m,e=>{$.data?.usageError&&e(h)});var g=H(m,2),v=e=>{Y(e,Mc())};Z(g,e=>{$.data?.usage?.tokenStatus===`UNAVAILABLE`&&K(n)!==`breakdown`&&K(n)!==`periods`&&e(v)});var y=H(g,2),b=e=>{var t=Nr();Gr(B(t),()=>K(n),e=>{{let t=F(()=>$.data?.usage?.reports);Tc(e,{get reports(){return K(t)},get mode(){return K(n)}})}}),Y(e,t)},x=e=>{var t=Rc(),r=B(t),i=z(r),l=V(H(z(i),2),!0);P(i);var u=H(i,2),d=V(H(z(u),2),!0);P(u);var f=H(u,2),p=H(z(f),2),m=z(p);xe(),P(p),P(f);var h=H(f,2),g=H(z(h),2),_=z(g);xe(),P(g),P(h);var v=H(h,2),y=H(z(v),2),b=z(y);xe(),P(y),P(v),P(r);var x=H(r,4),S=z(x),C=V(S),w=H(S,2),T=e=>{var t=Fc(),n=B(t),r=z(n),i=z(r);Xr(i,17,()=>Array(K(s)),Kr,(e,t)=>{Y(e,Nc())}),Xr(H(i,2),17,()=>K(a),Kr,(e,t)=>{var n=Pc();let r,i;U(e=>{r=ci(n,1,`heat-cell`,null,r,{zero:K(t).tokens===0}),Q(n,`title`,e),i=ui(n,``,i,{opacity:K(t).tokens?.25+.75*K(t).tokens/K(o):1})},[()=>`${K(t).date}: ${pa(K(t).tokens)} tokens`]),Y(e,n)}),P(r),P(n),xe(2),Y(e,t)},E=e=>{var t=Ic(),r=B(t);{let e=F(()=>K(c).map(e=>e.tokens)),t=F(()=>K(n)+` usage`);ro(r,{get values(){return K(e)},get label(){return K(t)}})}var i=H(r,2),a=z(i),o=V(a,!0),s=V(H(a),!0);P(i),U(e=>{X(o,K(c)[0]?.date),X(s,e)},[()=>K(c).at(-1)?.date]),Y(e,t)};Z(w,e=>{K(n)===`daily`?e(T):e(E,-1)});var D=H(w,2),ee=H(z(D),2),te=z(ee),O=H(z(te));Xr(O,21,()=>K(n)===`daily`?K(a):K(c),Kr,(e,t)=>{var n=Lc(),r=z(n),i=V(r,!0),a=V(H(r),!0);P(n),U(e=>{X(i,K(t).date),X(a,e)},[()=>pa(K(t).tokens)]),Y(e,n)}),P(O),P(te),P(ee),P(D),P(x);var k=V(H(x,2));U((e,t,n,r,i,o,s)=>{X(l,e),X(d,t),X(m,`${n??``} `),X(_,`${r??``} `),X(b,`${i??``} `),X(C,`${K(a)[0]?.date??``} — ${o??``}`),X(k,`OBSERVED ${s??``} // CUMULATIVE IS FOR THE SELECTED PERIOD`)},[()=>pa($.data.usage.summary.lifetimeTokens),()=>pa($.data.usage.summary.peakDailyTokens),()=>pa($.data.usage.summary.currentStreakDays),()=>pa($.data.usage.summary.longestRunningTurnSec),()=>pa($.data.usage.summary.longestStreakDays),()=>K(a).at(-1)?.date,()=>ma($.data.usageAt)]),Y(e,t)},S=e=>{Y(e,zc())};Z(y,e=>{K(n)===`breakdown`||K(n)===`periods`?e(b):$.data?.usage&&$.data.usage.dailyUsageBuckets!==null?e(x,1):e(S,-1)}),Y(e,l),We()}Sr([`click`,`change`]);var Hc=J(`

        Page not found

        Return to Quota

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0;font-size:12px}.threshold-trigger{color:var(--accent);font-size:22px;font-weight:800}.threshold-mode,.threshold-state{color:var(--muted);font-size:12px;font-weight:700}.threshold-list article.active .threshold-state{color:var(--accent)}.threshold-list article.next .threshold-state{color:var(--approval)}.heat-scroll{overflow-x:auto}.heatmap{grid-template-rows:repeat(7,13px);grid-auto-columns:minmax(9px,1fr);grid-auto-flow:column;gap:4px;min-width:620px;margin:25px 0;display:grid}.heat-cell{background:var(--accent);border-radius:2px}.heat-cell.zero{background:var(--edge)}.table-scroll{max-height:280px;overflow:auto}table{border-collapse:collapse;width:100%;margin-top:15px}th,td{text-align:left;border-bottom:1px solid var(--edge);padding:8px}summary{cursor:pointer;color:var(--accent);padding-top:14px}footer{border-top:1px solid var(--edge);color:var(--muted);margin-top:8px;padding-top:8px;font-size:11px}footer select{padding:6px}@media (width<=850px){.session-row{grid-template-columns:minmax(0,1fr)}.session-row.wide .context,.session-row .graph-panel{grid-column:auto}.connection{text-align:left}.threshold-list article{grid-template-columns:64px minmax(0,1fr)}.threshold-mode,.threshold-state{grid-column:2}}@media (prefers-reduced-motion:reduce){*,:before,:after{transition:none!important;animation:none!important}} diff --git a/internal/web/dist/index.html b/internal/web/dist/index.html index fddfcbf..07fb2a8 100644 --- a/internal/web/dist/index.html +++ b/internal/web/dist/index.html @@ -5,8 +5,8 @@ Codexometer // Experimental web - - + +
        diff --git a/internal/web/state.go b/internal/web/state.go index 6468ac3..222b100 100644 --- a/internal/web/state.go +++ b/internal/web/state.go @@ -106,6 +106,7 @@ type quotaThreshold struct { } type state struct { + UsageDiagnostic string `json:"usageDiagnostic,omitempty"` StatusLineFields []statusline.Field `json:"statusLineFields"` Triggers []triggerSummary `json:"triggers,omitempty"` Profiles []profileReview `json:"profiles,omitempty"` @@ -274,6 +275,16 @@ func (s *store) live(l codex.LiveUsageSnapshot, err error, now time.Time) { s.state.SessionsError = err != nil if err == nil { s.state.SessionsAt = now + s.state.UsageDiagnostic = "" + if len(l.APIEqDiagnostics) > 0 { + latest := l.APIEqDiagnostics[0] + for _, issue := range l.APIEqDiagnostics[1:] { + if !issue.ObservedAt.Before(latest.ObservedAt) { + latest = issue + } + } + s.state.UsageDiagnostic = codex.DiagnosticText(latest) + } if s.state.Control { s.contexts = make(map[string]codex.SessionContext, len(l.Sessions)) s.directories = make(map[string]string, len(l.Sessions)) diff --git a/internal/web/usage_diagnostics_test.go b/internal/web/usage_diagnostics_test.go new file mode 100644 index 0000000..3546eda --- /dev/null +++ b/internal/web/usage_diagnostics_test.go @@ -0,0 +1,25 @@ +package web + +import ( + "github.com/merefield/codexometer/internal/codex" + "strings" + "testing" + "time" +) + +func TestUsageDiagnosticProjectionIsBoundedSafeAndChoosesNewest(t *testing.T) { + s := newStore() + now := time.Now() + newer := codex.APIEqDiagnostic{Kind: codex.UsageIssueUnpriced, ObservedAt: now, Model: "gpt-reserve", Tier: "fast", Effort: "xhigh", SessionID: "child", Source: "exact response", Reason: "\x1b[31mprice missing \x1b[0m"} + older := codex.APIEqDiagnostic{Kind: codex.UsageIssueMissing, ObservedAt: now.Add(-time.Hour), Model: "old-model", Reason: "old failure"} + s.live(codex.LiveUsageSnapshot{APIEqDiagnostics: []codex.APIEqDiagnostic{newer, older}}, nil, now) + data, _ := s.snapshot() + text := string(data) + if strings.Contains(text, "old-model") || strings.Contains(text, `\u001b`) || !strings.Contains(text, "child") || !strings.Contains(text, "gpt-reserve") || !strings.Contains(text, "xhigh") { + t.Fatal("unsafe or stale projection", text) + } + s.live(codex.LiveUsageSnapshot{}, nil, now) + if s.state.UsageDiagnostic != "" { + t.Fatal("new source retained an old diagnostic") + } +} diff --git a/web/src/Quota.svelte b/web/src/Quota.svelte index 3a6aa9d..9546322 100644 --- a/web/src/Quota.svelte +++ b/web/src/Quota.svelte @@ -57,6 +57,13 @@ {#if live.data.quotaError}

        Quota refresh failed. Values below are the last successful observation.

        {/if} + {#if live.data.usageDiagnostic}

        + Last usage accounting issue: + {live.data.usageDiagnostic} +

        {/if}

        QUOTA // OBSERVED {date(live.data.quotaAt)}

        {#if view === 'thresholds'} @@ -174,3 +181,10 @@ scoring remain in the terminal for this first preview.

        {/if} + + diff --git a/web/src/state.svelte.ts b/web/src/state.svelte.ts index 51e97c8..c73eb01 100644 --- a/web/src/state.svelte.ts +++ b/web/src/state.svelte.ts @@ -105,6 +105,7 @@ export interface Threshold { remaining?: number; } export interface Snapshot { + usageDiagnostic?: string; statusLineFields?: { id: string; label: string; diff --git a/web/tests/browser.spec.ts b/web/tests/browser.spec.ts index 4b5e04e..eff53aa 100644 --- a/web/tests/browser.spec.ts +++ b/web/tests/browser.spec.ts @@ -4539,3 +4539,50 @@ for (const exit of ['commit', 'cancel', 'local'] as const) { await expect(list.getByRole('option')).toHaveCount(3); }); } + +test('Quota accounting diagnostics retain source details safely on narrow screens', async ({ + page, + pairingURL, +}) => { + const { snapshot } = await mockActions(page, 'prompt'); + await page.goto(pairingURL); + await page.evaluate( + (detail) => + window.dispatchEvent(new CustomEvent('test-snapshot', { detail })), + { + ...snapshot, + usageDiagnostic: + 'UNPRICED USAGE // no maintained standard API price for model gpt-reserve\nMODEL gpt-reserve (requested) // TIER fast // EFFORT xhigh\nSESSION child-agent // SOURCE exact response // RESPONSE response-one ', + }, + ); + await page.getByRole('link', { name: 'QUOTA', exact: true }).click(); + const notice = page + .getByRole('status') + .filter({ hasText: 'Last usage accounting issue:' }); + for (const detail of [ + 'UNPRICED USAGE', + 'gpt-reserve', + 'fast', + 'xhigh', + 'child-agent', + 'exact response', + 'response-one', + ]) + await expect(notice).toContainText(detail); + await page.setViewportSize({ width: 375, height: 700 }); + await expect(notice).toBeVisible(); + expect(await notice.evaluate((el) => el.scrollWidth <= el.clientWidth)).toBe( + true, + ); + expect( + await page.evaluate( + () => (window as unknown as { injection?: boolean }).injection, + ), + ).toBeUndefined(); + await page.evaluate( + (detail) => + window.dispatchEvent(new CustomEvent('test-snapshot', { detail })), + snapshot, + ); + await expect(notice).toHaveCount(0); +}); From b292bf2e80e70a6b2dc9dda85604b4a0cc6d63ae Mon Sep 17 00:00:00 2001 From: merefield Date: Mon, 12 Oct 2026 12:06:35 +0100 Subject: [PATCH 2/2] Fix reviewed usage attribution and accounting safeguards --- internal/codex/benchmark.go | 78 +++++++++-------- internal/codex/benchmark_test.go | 38 +++++++++ internal/codex/live_usage.go | 7 +- internal/codex/live_usage_exact.go | 4 + internal/codex/live_usage_exact_test.go | 39 +++++++++ internal/ui/benchmark_quota.go | 106 +++++++++++++++--------- internal/ui/benchmark_quota_test.go | 52 +++++++++++- 7 files changed, 247 insertions(+), 77 deletions(-) diff --git a/internal/codex/benchmark.go b/internal/codex/benchmark.go index a1e298a..f658769 100644 --- a/internal/codex/benchmark.go +++ b/internal/codex/benchmark.go @@ -111,10 +111,14 @@ func (c Client) BenchmarkBillingSource() BenchmarkBillingSource { // BenchmarkResponseUsage is the exact upstream usage for one Responses API // completion when the current Codex app-server exposes experimental raw events. +// Missing or conflicting usage retains response identity for diagnostics; +// UsageMissing distinguishes an omitted payload from valid all-zero usage. type BenchmarkResponseUsage struct { - ResponseID string - Model string - Usage BenchmarkUsage + ResponseID string + Model string + Usage BenchmarkUsage + UsageMissing bool + UsageIssue string } type BenchmarkInteractionKind string @@ -1198,7 +1202,7 @@ type benchmarkTelemetry struct { lastCumulative BenchmarkUsage hasLastCumulative bool rawResponses []BenchmarkResponseUsage - rawIDs map[string]struct{} + rawIDs map[string]int rawObserved bool rawMissingUsage bool issue string @@ -1206,7 +1210,7 @@ type benchmarkTelemetry struct { } func newBenchmarkTelemetry() *benchmarkTelemetry { - return &benchmarkTelemetry{rawIDs: make(map[string]struct{})} + return &benchmarkTelemetry{rawIDs: make(map[string]int)} } func (t *benchmarkTelemetry) recordCumulative(usage BenchmarkUsage) { @@ -1223,42 +1227,54 @@ func (t *benchmarkTelemetry) recordCumulative(usage BenchmarkUsage) { } func (t *benchmarkTelemetry) recordRawResponse(responseID string, usage *BenchmarkUsage) { + t.recordRawResponseForModel(responseID, usage, "") +} + +func (t *benchmarkTelemetry) recordRawResponseForModel(id string, usage *BenchmarkUsage, model string) { t.rawObserved = true - if strings.TrimSpace(responseID) == "" { - t.setIssue("raw response usage omitted response id") + response := BenchmarkResponseUsage{ResponseID: id, Model: model, UsageMissing: usage == nil} + if usage == nil { + response.UsageIssue = "raw response omitted usage" + } else { + response.Usage = *usage + if issue := validateBenchmarkUsage(*usage); issue != "" { + response.UsageIssue = "invalid raw response usage: " + issue + } + } + if strings.TrimSpace(id) == "" { + response.UsageIssue = "raw response usage omitted response id" + t.setIssue(response.UsageIssue) + t.rawResponses = append(t.rawResponses, response) return } - if _, duplicate := t.rawIDs[responseID]; duplicate { - for _, previous := range t.rawResponses { - if previous.ResponseID == responseID { - if usage != nil && previous.Usage == *usage { - return - } - t.setIssue("conflicting duplicate raw response usage: " + responseID) - return - } - } - if usage == nil { + if index, duplicate := t.rawIDs[id]; duplicate { + previous := &t.rawResponses[index] + if previous.Model == model && previous.UsageMissing == response.UsageMissing && previous.Usage == response.Usage { return - } // Identical replay of an already missing usage payload. - t.setIssue("conflicting duplicate raw response usage: " + responseID) + } + previous.UsageIssue = "conflicting duplicate raw response usage: " + id + if previous.Model != model { + previous.UsageIssue = fmt.Sprintf("conflicting duplicate raw response model: %q versus %q", previous.Model, model) + } + t.setIssue(previous.UsageIssue) return } - t.rawIDs[responseID] = struct{}{} - if usage == nil { + t.rawIDs[id] = len(t.rawResponses) + t.rawResponses = append(t.rawResponses, response) + if response.UsageMissing { t.rawMissingUsage = true - return - } - if issue := validateBenchmarkUsage(*usage); issue != "" { - t.setIssue("invalid raw response usage: " + issue) + } else if response.UsageIssue != "" { + t.setIssue(response.UsageIssue) } - t.rawResponses = append(t.rawResponses, BenchmarkResponseUsage{ResponseID: responseID, Usage: *usage}) } func (t *benchmarkTelemetry) apply(result *BenchmarkResult) { result.UsageObserved = t.cumulativeObserved || t.rawObserved result.UsageSource = BenchmarkUsageUnavailable result.ResponseUsage = append([]BenchmarkResponseUsage(nil), t.rawResponses...) + if t.rawObserved { + result.UsageSource = BenchmarkUsageRawResponses + } if t.issue != "" { result.UsageIssue = t.issue return @@ -1723,11 +1739,3 @@ func pricedModelName(model string) string { } return "" } - -func (t *benchmarkTelemetry) recordRawResponseForModel(id string, usage *BenchmarkUsage, model string) { - before := len(t.rawResponses) - t.recordRawResponse(id, usage) - if len(t.rawResponses) > before { - t.rawResponses[len(t.rawResponses)-1].Model = model - } -} diff --git a/internal/codex/benchmark_test.go b/internal/codex/benchmark_test.go index 84f47f0..3d480b0 100644 --- a/internal/codex/benchmark_test.go +++ b/internal/codex/benchmark_test.go @@ -1396,3 +1396,41 @@ func TestBenchmarkExactResponsesOverrideSyntheticSnapshotsAndRetainModels(t *tes t.Fatal("conflicting response ID was accepted", result) } } + +func TestBenchmarkRawMissingUsageRetainsAttribution(t *testing.T) { + telemetry := newBenchmarkTelemetry() + usage := BenchmarkUsage{InputTokens: 100, OutputTokens: 10, TotalTokens: 110} + telemetry.recordRawResponseForModel("missing", nil, "gpt-reserve") + telemetry.recordRawResponseForModel("missing", nil, "gpt-reserve") + telemetry.recordRawResponseForModel("later", &usage, "gpt-6-astra") + result := BenchmarkResult{ActualModel: "gpt-6-astra"} + applyBenchmarkMeasurements(&result, telemetry) + if result.UsageKnown || result.CostKnown || len(result.ResponseUsage) != 2 || result.UsageSource != BenchmarkUsageRawResponses { + t.Fatal("missing raw usage was priced or lost", result) + } + response := result.ResponseUsage[0] + if response.ResponseID != "missing" || response.Model != "gpt-reserve" || !response.UsageMissing || response.UsageIssue != "raw response omitted usage" { + t.Fatal("missing usage attribution lost", response) + } +} + +func TestBenchmarkRawReplayRejectsModelConflicts(t *testing.T) { + for _, missing := range []bool{false, true} { + telemetry := newBenchmarkTelemetry() + usage := &BenchmarkUsage{InputTokens: 100, OutputTokens: 10, TotalTokens: 110} + if missing { + usage = nil + } + telemetry.recordRawResponseForModel("same-response", usage, "gpt-6-astra") + telemetry.recordRawResponseForModel("same-response", usage, "gpt-6-astra") + if len(telemetry.rawResponses) != 1 || telemetry.issue != "" { + t.Fatal("identical replay was not idempotent", telemetry) + } + telemetry.recordRawResponseForModel("same-response", usage, "gpt-5.2") + result := BenchmarkResult{ActualModel: "gpt-5.2"} + applyBenchmarkMeasurements(&result, telemetry) + if result.UsageKnown || result.CostKnown || (!strings.Contains(result.UsageIssue, "gpt-6-astra") || !strings.Contains(result.UsageIssue, "gpt-5.2") || !strings.Contains(result.UsageIssue, "conflicting duplicate")) || len(result.ResponseUsage) != 1 || result.ResponseUsage[0].UsageIssue != result.UsageIssue { + t.Fatal("conflicting model replay was silently retained", missing, result) + } + } +} diff --git a/internal/codex/live_usage.go b/internal/codex/live_usage.go index c09684b..619cb0f 100644 --- a/internal/codex/live_usage.go +++ b/internal/codex/live_usage.go @@ -180,6 +180,7 @@ type rolloutCursor struct { turnTimings []LiveTurnTiming attention sessionAttentionState exactUsage bool + exactUsageUncertain bool exactResponses map[string]BenchmarkUsage exactConflicts map[string]bool exactResponseOrder []string @@ -693,9 +694,13 @@ func (r *LiveUsageReader) consume(path string, cursor *rolloutCursor) error { r.consumeExactUsage(cursor, record) } if record, ok := tokenUsageRecord(line); ok { - if cursor.exactUsage { + if cursor.exactUsage || cursor.exactUsageUncertain { if tokenRecordIsOwned(record.ordinal, cursor.subagentHistoryStartOrdinal, record.at, cursor.nonRoot, cursor.startedAt) { r.attachExactCheckpoint(cursor, record) + if cursor.exactUsageUncertain && record.total != cursor.totalTokens { + r.apiEqMissingUsageCalls++ + r.rememberCallIssue(LiveModelCall{At: record.at, SessionID: cursor.threadID, Model: cursor.currentModel, RequestedServiceTier: cursor.currentServiceTier, Effort: cursor.modelSettings.ReasoningEffort, UsageSource: "rollout mode discovery", issueKind: UsageIssueMissing, APIEqIssue: "historical scan exceeded 4 MiB without establishing response usage mode; context snapshots cannot be billed until an exact response record arrives"}) + } } cursor.totalTokens = record.total continue diff --git a/internal/codex/live_usage_exact.go b/internal/codex/live_usage_exact.go index 260d092..731c2be 100644 --- a/internal/codex/live_usage_exact.go +++ b/internal/codex/live_usage_exact.go @@ -55,6 +55,8 @@ func (c *rolloutCursor) rememberExactResponse(id string, usage BenchmarkUsage) b // Establish the source and recent replay identities without counting history. // Bound startup IO independently of the file's potentially large transcript. +// A truncated scan cannot prove the absence of older exact records. In that +// case suppress legacy billing until an owned exact record establishes the mode. func restoreExactUsageBaseline(path string, cursor *rolloutCursor, baselineOffset int64) (int64, error) { file, err := os.Open(path) if err != nil { @@ -97,6 +99,7 @@ func restoreExactUsageBaseline(path string, cursor *rolloutCursor, baselineOffse cursor.rememberExactResponse(id, usage) } } + cursor.exactUsageUncertain = start > 0 && !cursor.exactUsage return end, nil } @@ -105,6 +108,7 @@ func (r *LiveUsageReader) consumeExactUsage(cursor *rolloutCursor, record rollou return } cursor.exactUsage = true + cursor.exactUsageUncertain = false id := strings.TrimSpace(record.Payload.ResponseID) usage := BenchmarkUsage{} if record.Payload.Usage != nil { diff --git a/internal/codex/live_usage_exact_test.go b/internal/codex/live_usage_exact_test.go index 73bdaa6..eac8339 100644 --- a/internal/codex/live_usage_exact_test.go +++ b/internal/codex/live_usage_exact_test.go @@ -239,3 +239,42 @@ func TestExactReplacementRolloutDoesNotBillCopiedThreadHistory(t *testing.T) { t.Fatal("fresh replacement response was lost", next, err) } } + +func TestExactUsageOlderThanStartupTailCannotEnableLegacyBilling(t *testing.T) { + for _, historicalExact := range []bool{false, true} { + _, path, now := astraUsageReader(t, 100) + u := BenchmarkUsage{InputTokens: 1000, OutputTokens: 100, TotalTokens: 1100} + if historicalExact { + appendRollout(t, path, exactLine(t, now, "astra-accounting", "t", "old", u)+"\n") + } + // The last owned exact response, if present, is outside the discovery + // window. An otherwise identical large legacy file is also uncertain. + padding := `{"type":"response_item","payload":"` + strings.Repeat("x", 4096) + `"}` + "\n" + appendRollout(t, path, strings.Repeat(padding, 1100)) + home := strings.Split(path, string(filepath.Separator)+"sessions"+string(filepath.Separator))[0] + r, err := NewLiveUsageReader(home) + if err != nil { + t.Fatal(err) + } + r.statusProvider = nil + if _, err := r.FetchTokenUsage(context.Background()); err != nil { + t.Fatal(err) + } + checkpoint := richTokenCountLine(now, 1200, 1000, 0, 0, 100) + "\n" + appendRollout(t, path, checkpoint+checkpoint) + uncertain, err := r.FetchTokenUsage(context.Background()) + if err != nil || uncertain.TotalTokens != 0 || uncertain.APIEqPricedCalls != 0 || uncertain.APIEqUSD != 0 || uncertain.APIEqMissingUsageCalls != 1 || len(uncertain.APIEqDiagnostics) != 1 || !strings.Contains(uncertain.APIEqDiagnostics[0].Reason, "without establishing response usage mode") { + t.Fatal("truncated baseline enabled legacy billing or hid uncertainty", historicalExact, uncertain, err) + } + appendRollout(t, path, richTokenCountLine(now, 2300, 1000, 0, 0, 100)+"\n") + continued, err := r.FetchTokenUsage(context.Background()) + if err != nil || continued.APIEqMissingUsageCalls != 2 || continued.APIEqPricedCalls != 0 { + t.Fatal("ongoing uncertain usage failed to invalidate quota learning", continued, err) + } + appendRollout(t, path, exactLine(t, now, "astra-accounting", "t", "fresh", u)+"\n"+richTokenCountLine(now, 3400, 1000, 0, 0, 100)+"\n") + fresh, err := r.FetchTokenUsage(context.Background()) + if err != nil || fresh.APIEqPricedCalls != 1 || fresh.TotalTokens != 1100 || fresh.APIEqMissingUsageCalls != 2 || r.files[path].exactUsageUncertain { + t.Fatal("exact record did not restore reliable accounting", fresh, err) + } + } +} diff --git a/internal/ui/benchmark_quota.go b/internal/ui/benchmark_quota.go index 8ac0c8a..0380a83 100644 --- a/internal/ui/benchmark_quota.go +++ b/internal/ui/benchmark_quota.go @@ -88,61 +88,94 @@ func (a *benchmarkQuotaAccounting) observe(result codex.BenchmarkResult) { } a.accounted[key] = struct{}{} - cost, known, kind, reason := benchmarkQuotaCostDetail(result) - calls := int64(len(result.ResponseUsage)) - if calls == 0 { - calls = 1 - } - if known { - a.costUSD += cost - a.pricedCalls += calls - a.revision++ - return - } - for i := int64(0); i < calls; i++ { - a.recordIssue(result, kind, reason) + cost, pricedCalls, issues := benchmarkQuotaCostDetail(result) + a.costUSD += cost + a.pricedCalls += pricedCalls + for _, issue := range issues { + if issue.response != nil { + a.recordIssue(result, issue.kind, issue.reason, *issue.response) + } else { + a.recordIssue(result, issue.kind, issue.reason) + } } a.revision++ } -func benchmarkQuotaCostDetail(result codex.BenchmarkResult) (float64, bool, codex.APIEqIssueKind, string) { +type benchmarkQuotaIssue struct { + kind codex.APIEqIssueKind + reason string + response *codex.BenchmarkResponseUsage +} + +func benchmarkQuotaCostDetail(result codex.BenchmarkResult) (float64, int64, []benchmarkQuotaIssue) { + aggregateIssue := func(kind codex.APIEqIssueKind, reason string) (float64, int64, []benchmarkQuotaIssue) { + return 0, 0, []benchmarkQuotaIssue{{kind: kind, reason: reason}} + } if result.CostKnown { if validBenchmarkQuotaCost(result.CostUSD) { - return result.CostUSD, true, "", "" + return result.CostUSD, int64(max(len(result.ResponseUsage), 1)), nil } - return 0, false, codex.UsageIssueInconsistent, "benchmark returned an invalid measured cost" + return aggregateIssue(codex.UsageIssueInconsistent, "benchmark returned an invalid measured cost") } model := strings.TrimSpace(result.ActualModel) if model == "" { model = result.Model } + var issues []benchmarkQuotaIssue + for i := range result.ResponseUsage { + response := &result.ResponseUsage[i] + if response.UsageIssue != "" { + issues = append(issues, benchmarkQuotaIssue{kind: benchmarkUsageIssueKind(response.UsageIssue), reason: response.UsageIssue, response: response}) + } else if response.UsageMissing { + issues = append(issues, benchmarkQuotaIssue{kind: codex.UsageIssueMissing, reason: "raw response omitted usage", response: response}) + } + } + if len(issues) > 0 { + return 0, 0, issues + } if !result.UsageKnown { if result.UsageIssue != "" { - kind := codex.UsageIssueInconsistent - if strings.Contains(result.UsageIssue, "omitted") || strings.Contains(result.UsageIssue, "not observed") { - kind = codex.UsageIssueMissing - } - return 0, false, kind, result.UsageIssue + return aggregateIssue(benchmarkUsageIssueKind(result.UsageIssue), result.UsageIssue) } - return 0, false, codex.UsageIssueMissing, "benchmark omitted validated response usage" + return aggregateIssue(codex.UsageIssueMissing, "benchmark omitted validated response usage") } if result.UsageSource == codex.BenchmarkUsageRawResponses && len(result.ResponseUsage) > 0 { var total float64 - for _, response := range result.ResponseUsage { + var pricedCalls int64 + for i := range result.ResponseUsage { + response := &result.ResponseUsage[i] responseModel := response.Model if responseModel == "" { responseModel = model } - cost, known, issue := codex.EstimateStandardAPIEqCost(responseModel, response.Usage) + cost, known, reason := codex.EstimateStandardAPIEqCost(responseModel, response.Usage) if !known { - return 0, false, benchmarkCostIssueKind(issue), issue + issues = append(issues, benchmarkQuotaIssue{kind: benchmarkCostIssueKind(reason), reason: reason, response: response}) + continue } total += cost + pricedCalls++ } - return total, validBenchmarkQuotaCost(total), codex.UsageIssueInconsistent, "benchmark cost total was not finite" + if !validBenchmarkQuotaCost(total) { + return aggregateIssue(codex.UsageIssueInconsistent, "benchmark cost total was not finite") + } + return total, pricedCalls, issues + } + cost, known, reason := codex.EstimateStandardAPIEqAggregateCost(model, result.Usage) + if !known { + return aggregateIssue(benchmarkCostIssueKind(reason), reason) + } + if !validBenchmarkQuotaCost(cost) { + return aggregateIssue(codex.UsageIssueInconsistent, "benchmark cost total was not finite") + } + return cost, 1, nil +} + +func benchmarkUsageIssueKind(reason string) codex.APIEqIssueKind { + if strings.Contains(reason, "omitted") || strings.Contains(reason, "not observed") { + return codex.UsageIssueMissing } - cost, known, issue := codex.EstimateStandardAPIEqAggregateCost(model, result.Usage) - return cost, known && validBenchmarkQuotaCost(cost), benchmarkCostIssueKind(issue), issue + return codex.UsageIssueInconsistent } func benchmarkCostIssueKind(reason string) codex.APIEqIssueKind { @@ -152,7 +185,7 @@ func benchmarkCostIssueKind(reason string) codex.APIEqIssueKind { return codex.UsageIssueUnpriced } -func (a *benchmarkQuotaAccounting) recordIssue(result codex.BenchmarkResult, kind codex.APIEqIssueKind, reason string) { +func (a *benchmarkQuotaAccounting) recordIssue(result codex.BenchmarkResult, kind codex.APIEqIssueKind, reason string, responses ...codex.BenchmarkResponseUsage) { var counter int64 switch kind { case codex.UsageIssueMissing: @@ -171,17 +204,10 @@ func (a *benchmarkQuotaAccounting) recordIssue(result codex.BenchmarkResult, kin model = result.Model } responseID := "" - if !result.CostKnown && result.UsageKnown && result.UsageSource == codex.BenchmarkUsageRawResponses { - for _, response := range result.ResponseUsage { - responseModel := response.Model - if responseModel == "" { - responseModel = model - } - if _, known, _ := codex.EstimateStandardAPIEqCost(responseModel, response.Usage); !known { - model = responseModel - responseID = response.ResponseID - break - } + if len(responses) > 0 { + responseID = responses[0].ResponseID + if responses[0].Model != "" { + model = responses[0].Model } } a.diagnostics = append(a.diagnostics, codex.APIEqDiagnostic{Kind: kind, Counter: counter, ObservedAt: time.Now(), At: time.Now(), SessionID: "benchmark", Model: model, Effort: result.Effort, Source: "subscription benchmark", ResponseID: responseID, Reason: reason}) diff --git a/internal/ui/benchmark_quota_test.go b/internal/ui/benchmark_quota_test.go index 02770cb..b4ea478 100644 --- a/internal/ui/benchmark_quota_test.go +++ b/internal/ui/benchmark_quota_test.go @@ -269,7 +269,7 @@ func TestBenchmarkFailureIdentifiesEarlierResponseModelAndCancellationTrial(t *t usage := codex.BenchmarkUsage{InputTokens: 100, OutputTokens: 10, TotalTokens: 110} a.observe(codex.BenchmarkResult{Model: "gpt-6-astra", ActualModel: "gpt-6-astra", Effort: "xhigh", UsageKnown: true, UsageSource: codex.BenchmarkUsageRawResponses, ResponseUsage: []codex.BenchmarkResponseUsage{{ResponseID: "failed", Model: "gpt-reserve", Usage: usage}, {ResponseID: "later", Model: "gpt-6-astra", Usage: usage}}}) issue := a.diagnostics[len(a.diagnostics)-1] - if issue.Model != "gpt-reserve" || issue.ResponseID != "failed" { + if issue.Model != "gpt-reserve" || issue.ResponseID != "failed" || a.unpricedCalls != 1 || len(a.diagnostics) != 1 || a.pricedCalls != 1 { t.Fatal("failure attributed to final model rather than offending response", issue) } a.abandonActiveResult(codex.BenchmarkResult{Model: "gpt-6-astra", Effort: "xhigh"}) @@ -278,3 +278,53 @@ func TestBenchmarkFailureIdentifiesEarlierResponseModelAndCancellationTrial(t *t t.Fatal("cancellation lost known trial metadata", issue) } } + +func TestBenchmarkMissingUsageDiagnosticIdentifiesOriginatingResponse(t *testing.T) { + a := benchmarkQuotaAccounting{billingSource: codex.BenchmarkBillingSubscription} + a.start() + usage := codex.BenchmarkUsage{InputTokens: 100, OutputTokens: 10, TotalTokens: 110} + result := codex.BenchmarkResult{Model: "gpt-6-astra", ActualModel: "gpt-6-astra", UsageSource: codex.BenchmarkUsageRawResponses, UsageIssue: "raw response omitted usage", ResponseUsage: []codex.BenchmarkResponseUsage{ + {ResponseID: "missing", Model: "gpt-reserve", UsageMissing: true, UsageIssue: "raw response omitted usage"}, + {ResponseID: "later", Model: "gpt-6-astra", Usage: usage}, + }} + a.observe(result) + a.observe(result) + if a.missingCalls != 1 || a.unpricedCalls != 0 || a.pricedCalls != 0 || a.costUSD != 0 || len(a.diagnostics) != 1 { + t.Fatal("missing response inflated counters or priced incomplete telemetry", a) + } + issue := a.diagnostics[0] + if issue.Kind != codex.UsageIssueMissing || issue.Model != "gpt-reserve" || issue.ResponseID != "missing" { + t.Fatal("missing benchmark attributed to final response", issue) + } +} + +func TestBenchmarkAccountingReportsOnlyFailingResponses(t *testing.T) { + a := benchmarkQuotaAccounting{billingSource: codex.BenchmarkBillingSubscription} + a.start() + usage := codex.BenchmarkUsage{InputTokens: 100, OutputTokens: 10, TotalTokens: 110} + a.observe(codex.BenchmarkResult{Model: "gpt-6-astra", UsageKnown: true, UsageSource: codex.BenchmarkUsageRawResponses, ResponseUsage: []codex.BenchmarkResponseUsage{ + {ResponseID: "unknown", Model: "gpt-reserve", Usage: usage}, + {ResponseID: "known", Model: "gpt-6-astra", Usage: usage}, + {ResponseID: "another-unknown", Model: "unknown-provider", Usage: usage}, + }}) + want, _, _ := codex.EstimateStandardAPIEqCost("gpt-6-astra", usage) + if a.unpricedCalls != 2 || a.pricedCalls != 1 || math.Abs(a.costUSD-want) > 1e-12 || len(a.diagnostics) != 2 || a.diagnostics[0].ResponseID != "unknown" || a.diagnostics[1].ResponseID != "another-unknown" || a.diagnostics[1].Model != "unknown-provider" { + t.Fatal("mixed responses duplicated failures or discarded known cost", a) + } +} + +func TestBenchmarkAggregateFailureIsRecordedOnce(t *testing.T) { + for _, invalidMeasuredCost := range []bool{false, true} { + a := benchmarkQuotaAccounting{billingSource: codex.BenchmarkBillingSubscription} + a.start() + result := codex.BenchmarkResult{Model: "gpt-6-astra", UsageIssue: "invalid raw response total: totalTokens overflowed", ResponseUsage: []codex.BenchmarkResponseUsage{{ResponseID: "one"}, {ResponseID: "two"}}} + if invalidMeasuredCost { + result.CostKnown = true + result.CostUSD = math.Inf(1) + } + a.observe(result) + if a.inconsistentCalls != 1 || len(a.diagnostics) != 1 || a.diagnostics[0].ResponseID != "" || a.pricedCalls != 0 || a.costUSD != 0 { + t.Fatal("aggregate failure attributed to each response", a) + } + } +}