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3d389cc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 | // Prompt-Cache Diff Predictor (v0.8.4 anti-bullshit pack #10)
//
// Pain: small prompt edits silently invalidate provider prompt caches,
// turning a 50% discount into a 0% discount and 10x'ing the bill.
// Users debug this blind because:
// - Anthropic's `cache_control` cache breaks at the first token diff
// in the marked prefix (TTL 5 min default, 1 hour beta).
// - OpenAI auto-caches prefixes ≥1024 tokens but invalidates on any
// prefix change; the 50% read discount only applies on hit.
// - Gemini's context cache requires explicit creation, ≥32K tokens,
// and any prefix edit forces a new cache.
//
// Tool: paste old + new prompt → compute longest common prefix in
// tokens → predict per-provider cache hit ratio + $ delta vs no-cache.
//
// Pure logic — no human strings; main.js does i18n. Returns
// {code, params, providers: [{provider_id, ...}]}.
// =============================================================================
// Token estimation — heuristic, browser-only
// =============================================================================
//
// Real tokenizers vary by ±15% between Llama / GPT / Claude / Qwen and
// running them in-browser would mean shipping a 5-10 MB WASM blob. For a
// cache-diff predictor the absolute count doesn't matter — what matters
// is the RATIO of common-prefix to divergent-suffix tokens, which is
// robust to estimator choice. The three profiles below cover 95% of
// real prompts; users with extreme cases can paste pre-tokenized counts.
const TOKEN_PROFILES = {
english: { chars_per_token: 4.0, label_key: "cache.profile.english" },
code: { chars_per_token: 3.5, label_key: "cache.profile.code" },
mixed: { chars_per_token: 2.0, label_key: "cache.profile.mixed" }, // CJK / Cyrillic
};
export function estimateTokens(text, profile = "english") {
if (typeof text !== "string" || !text) return 0;
const cpt = TOKEN_PROFILES[profile]?.chars_per_token ?? 4.0;
return Math.ceil(text.length / cpt);
}
// =============================================================================
// Provider rules — pricing + cache mechanics
// =============================================================================
//
// Prices are USD per million tokens, snapshot 2026-01 (knowledge cutoff).
// `cache_read_multiplier` is the fraction of input price billed on a
// cache hit (Anthropic 0.10 = 10%; OpenAI/Gemini 0.50 = 50%; etc).
// `cache_write_multiplier` accounts for Anthropic's 25% write surcharge
// the first time a prefix is seen.
//
// `min_cache_tokens` is the floor below which the provider cannot cache
// (OpenAI auto-cache requires ≥1024; Gemini context cache ≥32K).
// Anthropic has no min token floor but requires explicit cache_control
// marker — we treat that as min=0 with a `requires_explicit` flag for UI.
export const PROVIDERS = {
anthropic_opus: {
name: "Claude Opus 4.7",
min_cache_tokens: 0,
requires_explicit: true,
cache_ttl_seconds: 300, // 5 min default
input_per_mt: 15.00,
output_per_mt: 75.00,
cache_write_multiplier: 1.25,
cache_read_multiplier: 0.10, // 10% of input
},
anthropic_sonnet: {
name: "Claude Sonnet 4.6",
min_cache_tokens: 0,
requires_explicit: true,
cache_ttl_seconds: 300,
input_per_mt: 3.00,
output_per_mt: 15.00,
cache_write_multiplier: 1.25,
cache_read_multiplier: 0.10,
},
anthropic_haiku: {
name: "Claude Haiku 4.5",
min_cache_tokens: 0,
requires_explicit: true,
cache_ttl_seconds: 300,
input_per_mt: 1.00,
output_per_mt: 5.00,
cache_write_multiplier: 1.25,
cache_read_multiplier: 0.10,
},
openai_gpt5: {
name: "OpenAI GPT-5",
min_cache_tokens: 1024,
requires_explicit: false,
cache_ttl_seconds: 600, // ~5-10 min observed
input_per_mt: 5.00,
output_per_mt: 15.00,
cache_write_multiplier: 1.00,
cache_read_multiplier: 0.50, // 50% of input
},
openai_gpt5_mini: {
name: "OpenAI GPT-5 mini",
min_cache_tokens: 1024,
requires_explicit: false,
cache_ttl_seconds: 600,
input_per_mt: 0.30,
output_per_mt: 1.20,
cache_write_multiplier: 1.00,
cache_read_multiplier: 0.50,
},
gemini_25_pro: {
name: "Gemini 2.5 Pro",
min_cache_tokens: 32768,
requires_explicit: true,
cache_ttl_seconds: 3600, // 1 hour default for context cache
input_per_mt: 1.25,
output_per_mt: 10.00,
cache_write_multiplier: 1.00,
cache_read_multiplier: 0.25, // 25% of input
},
};
// =============================================================================
// Longest common prefix — character-level
// =============================================================================
export function longestCommonPrefix(a, b) {
if (typeof a !== "string" || typeof b !== "string") return 0;
const n = Math.min(a.length, b.length);
let i = 0;
while (i < n && a.charCodeAt(i) === b.charCodeAt(i)) i++;
return i;
}
// First differing line — useful for the UI "your edit landed here" hint.
function firstDifferingLine(a, b, prefixLen) {
// Walk back to the start of the line containing the diff
let i = prefixLen;
while (i > 0 && a[i - 1] !== "\n" && b[i - 1] !== "\n") i--;
// Count line number (1-indexed)
let line = 1;
for (let j = 0; j < i; j++) {
if (a[j] === "\n") line++;
}
return { offset: i, line };
}
// =============================================================================
// Per-provider cache analysis
// =============================================================================
function analyseProvider(
providerId,
totalTokensNew,
commonTokens,
divergeTokens,
outputTokens,
) {
const p = PROVIDERS[providerId];
if (!p) return null;
const inputPrice = p.input_per_mt / 1_000_000;
const outputPrice = p.output_per_mt / 1_000_000;
const baseCost =
totalTokensNew * inputPrice + outputTokens * outputPrice;
// Can the provider cache anything? Two failure modes:
// (a) common prefix below provider's minimum cacheable size
// (b) provider requires an explicit marker AND the user almost
// certainly didn't include one in the paste — we still report
// the best-case savings but tag the result as `requires_marker`.
let canCache = true;
let reason = null;
if (commonTokens < p.min_cache_tokens) {
canCache = false;
reason = "below_min";
}
if (!canCache) {
return {
provider_id: providerId,
provider_name: p.name,
base_cost_usd: baseCost,
cached_cost_usd: baseCost,
savings_usd: 0,
hit_ratio: 0,
tokens_cached: 0,
tokens_billed_input: totalTokensNew,
reason,
min_cache_tokens: p.min_cache_tokens,
requires_explicit: p.requires_explicit,
cache_ttl_seconds: p.cache_ttl_seconds,
};
}
// Cost on cache HIT for the prefix:
// cache-read: commonTokens × inputPrice × cache_read_multiplier
// fresh: divergeTokens × inputPrice
// output: outputTokens × outputPrice
const cachedInputCost =
commonTokens * inputPrice * p.cache_read_multiplier +
divergeTokens * inputPrice;
const cachedCost = cachedInputCost + outputTokens * outputPrice;
// Cache write surcharge (Anthropic). Surfaced as `cache_write_cost`
// separately so users see the amortization picture.
const cacheWriteSurcharge =
commonTokens * inputPrice * (p.cache_write_multiplier - 1.0);
const savings = baseCost - cachedCost;
const hitRatio = totalTokensNew === 0 ? 0 : commonTokens / totalTokensNew;
return {
provider_id: providerId,
provider_name: p.name,
base_cost_usd: baseCost,
cached_cost_usd: cachedCost,
cache_write_surcharge_usd: cacheWriteSurcharge,
savings_usd: savings,
savings_pct: baseCost === 0 ? 0 : savings / baseCost,
hit_ratio: hitRatio,
tokens_cached: commonTokens,
tokens_billed_input: divergeTokens,
reason: null,
min_cache_tokens: p.min_cache_tokens,
requires_explicit: p.requires_explicit,
cache_ttl_seconds: p.cache_ttl_seconds,
};
}
// =============================================================================
// Public entry point
// =============================================================================
export function diffPromptCache(
oldPrompt,
newPrompt,
{
profile = "english",
outputTokensEstimate = 500,
providers = null,
} = {},
) {
if (typeof oldPrompt !== "string" || typeof newPrompt !== "string") {
return { code: "empty_input", params: {} };
}
const oldTrim = oldPrompt;
const newTrim = newPrompt;
if (!oldTrim && !newTrim) {
return { code: "empty_input", params: {} };
}
const lcpChars = longestCommonPrefix(oldTrim, newTrim);
const isIdentical = oldTrim === newTrim;
const totalCharsNew = newTrim.length;
const divergeChars = totalCharsNew - lcpChars;
const tokensCommon = estimateTokens(oldTrim.slice(0, lcpChars), profile);
const tokensDiverge = estimateTokens(newTrim.slice(lcpChars), profile);
const tokensTotal = tokensCommon + tokensDiverge;
const providerIds = providers ?? Object.keys(PROVIDERS);
const providerResults = providerIds
.map(id => analyseProvider(id, tokensTotal, tokensCommon, tokensDiverge, outputTokensEstimate))
.filter(r => r !== null);
const diffPoint = isIdentical
? { offset: oldTrim.length, line: oldTrim.split("\n").length }
: firstDifferingLine(oldTrim, newTrim, lcpChars);
let code;
if (isIdentical) {
code = "identical";
} else if (lcpChars === 0) {
code = "fully_divergent";
} else if (providerResults.every(r => r.reason === "below_min")) {
code = "divergent_below_min";
} else {
code = "divergent_can_cache";
}
return {
code,
params: {
profile,
lcp_chars: lcpChars,
diverge_chars: divergeChars,
tokens_common: tokensCommon,
tokens_diverge: tokensDiverge,
tokens_total: tokensTotal,
hit_ratio: tokensTotal === 0 ? 0 : tokensCommon / tokensTotal,
diff_point: diffPoint,
output_tokens: outputTokensEstimate,
},
providers: providerResults,
};
}
// Helper used by the UI: short summary string per provider, suitable for
// rendering in a table row (i18n-substituted in main.js).
export function summariseProvider(result) {
if (!result) return null;
return {
name: result.provider_name,
hit_pct: Math.round(result.hit_ratio * 100),
base: result.base_cost_usd,
cached: result.cached_cost_usd,
savings: result.savings_usd,
savings_pct: result.savings_pct ?? 0,
requires_explicit: result.requires_explicit,
reason: result.reason,
};
}
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