mirror of
https://github.com/Heretek-AI/Token-Max.git
synced 2026-10-12 02:03:18 +00:00
- Harmonize plan generation prompt cache rate to shared 75% default from estimate-constants.json - Update TokenTranslator to resolve plan token capacity model-specifically via resolveTierModelBudget - Fix calculatePoolDrain to drain model-specific allowances and eliminate Math.max deflation on low-cost models - Make buildStackCandidates model-aware for accurate Dangerous Dave and Mix & Match stacking - Update WorkflowCalculator to resolve plan capacity model-specifically for active workloads - Reconcile Cursor Pro evidence quotes in throttle-profiles and reasoning token policies - Add unit tests for model-aware stack candidates and pool drainage (102/102 passing)
132 lines
4.2 KiB
JSON
132 lines
4.2 KiB
JSON
{
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"id": "meta-muse-code",
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"name": "Meta Muse Code",
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"category": "coding-ide",
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"url": "https://developer.meta.com/ai/products/muse-code",
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"lastVerified": "2026-09-19",
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"tiers": [
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{
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"name": "Everyday",
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"monthlyPrice": 5,
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"limits": {
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"prompts": "10-50 prompts / 5h (official)"
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},
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"models": [
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"Muse Spark 1.3",
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"Llama 4 Scout"
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],
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"perModelTokenBudgets": {
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"muse spark 1.3": {
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"estimatedMillionTokens": 5.0,
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"basis": "list-price-credit",
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"confidence": "medium"
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},
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"llama 4 scout": {
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"estimatedMillionTokens": 30.49,
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"basis": "list-price-credit",
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"confidence": "medium"
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}
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},
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"estimatedTokenBudget": {
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"description": "Light usage tier (~5M tokens/mo)",
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"estimatedMillionTokens": 5,
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"assumptions": "10-50 req/5h on lightweight models",
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"estimateMeta": {
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"sourceUrl": "https://developer.meta.com/ai/products/muse-code",
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"sourceType": "research",
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"confidence": "low",
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"verifiedAt": "2026-09-19"
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}
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},
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"notes": "Affordable entry-level coding assistance"
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},
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{
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"name": "High",
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"monthlyPrice": 15,
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"limits": {
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"prompts": "5x Everyday usage (official)"
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},
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"models": [
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"Muse Spark 1.3",
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"Llama 4 Scout",
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"Llama 4 Maverick"
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],
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"perModelTokenBudgets": {
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"muse spark 1.3": {
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"estimatedMillionTokens": 25.0,
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"basis": "list-price-credit",
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"confidence": "medium"
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},
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"llama 4 scout": {
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"estimatedMillionTokens": 152.46,
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"basis": "list-price-credit",
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"confidence": "medium"
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},
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"llama 4 maverick": {
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"estimatedMillionTokens": 33.17,
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"basis": "list-price-credit",
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"confidence": "medium"
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}
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},
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"estimatedTokenBudget": {
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"description": "5x Everyday usage (~25M tokens/mo, official multiplier)",
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"estimatedMillionTokens": 25,
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"assumptions": "Official multiplier: 5x the Everyday usage plan; applied to our 5M Everyday estimate",
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"estimateMeta": {
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"sourceUrl": "https://developer.meta.com/ai/products/muse-code",
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"sourceType": "research",
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"confidence": "low",
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"verifiedAt": "2026-09-19"
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}
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},
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"notes": "Standard developer tier with generous limits"
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},
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{
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"name": "Power",
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"monthlyPrice": 50,
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"limits": {
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"prompts": "20x Everyday usage (official)"
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},
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"models": [
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"Muse Spark 1.3",
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"Llama 4 Maverick"
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],
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"perModelTokenBudgets": {
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"muse spark 1.3": {
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"estimatedMillionTokens": 100.0,
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"basis": "list-price-credit",
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"confidence": "medium"
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},
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"llama 4 maverick": {
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"estimatedMillionTokens": 132.69,
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"basis": "list-price-credit",
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"confidence": "medium"
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}
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},
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"estimatedTokenBudget": {
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"description": "20x Everyday usage (~100M tokens/mo, official multiplier)",
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"estimatedMillionTokens": 100,
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"assumptions": "Official multiplier: 20x the Everyday usage plan; applied to our 5M Everyday estimate",
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"estimateMeta": {
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"sourceUrl": "https://developer.meta.com/ai/products/muse-code",
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"sourceType": "research",
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"confidence": "low",
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"verifiedAt": "2026-09-19"
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}
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},
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"notes": "Maximum rate limits and concurrent workflows"
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}
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],
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"gotchas": [
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"Muse Code subscription keys work only with Muse Code, not the general Model API",
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"Training terms depend on which models you select; the Contributor/Standard choice changes them",
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"Regional availability restrictions apply"
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],
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"tosHighlights": [
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"Contributor tier grants Meta royalty-free training rights on inputs/outputs",
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"Standard tier guarantees zero data retention and no model training"
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],
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"dataTraining": "Depends on the selected models and API tier; Muse Code keys are limited to Muse Code and training terms are not uniform across models",
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"ipIndemnity": false,
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"stackingPolicy": "unknown"
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} |