Add multi-tenant cloud mode: self-serve purchase, credit metering, core-decoupling
Introduces RECAP_MODE=multi alongside single-mode self-host: - Tenant auth + accounts (magic-link via System SMTP), per-tenant credit pool, anonymous trial minting with per-IP/-64 caps - Self-serve Pro/Max purchase: inline Lightning (BTCPay) + card (Zaprite), prepaid 30-day periods, expiry-reminder emails - Core-decoupling: relay owns cloud tier/expiry keyed by Recaps user-id - SQLite (better-sqlite3) schema for multi-mode; filesystem unchanged for single - StartOS actions/versions through 0.2.155
This commit is contained in:
Keysat
+66
-12
@@ -9,12 +9,15 @@ import { formatTime } from "./util.js";
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// numbers are operational data, not configuration. Update when Google
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// changes published rates.
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export const PRICING = {
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"gemini-3-flash-preview": { input: 0.50, output: 3.00, thinking: 3.00 },
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"gemini-3-pro-preview": { input: 2.00, output: 12.00, thinking: 12.00 },
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// The five Gemini models we support. Verified against Google's
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// official docs on 2026-05-12. Retired/never-existed IDs omitted.
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"gemini-3.1-pro-preview": { input: 2.00, output: 12.00, thinking: 12.00 },
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"gemini-2.5-flash": { input: 0.15, output: 0.60, thinking: 0.60 },
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"gemini-2.5-pro": { input: 1.25, output: 10.00, thinking: 10.00 },
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"gemini-3-flash-preview": { input: 0.50, output: 3.00, thinking: 3.00 },
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"gemini-2.5-flash": { input: 0.15, output: 0.60, thinking: 0.60 },
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"gemini-3.1-flash-lite": { input: 0.10, output: 0.40, thinking: 0.40 },
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// Fallback for unknown / future models — better an estimate than nothing.
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"default": { input: 1.00, output: 5.00, thinking: 5.00 },
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"default": { input: 1.00, output: 5.00, thinking: 5.00 },
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};
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// ── Cost calculation ────────────────────────────────────────────────────────
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@@ -46,16 +49,67 @@ export function calcCost(modelName, usage) {
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};
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}
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// ── Section-count target by VIDEO duration ─────────────────────────────────
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// Mirrors recap-relay's computePerWindowTarget() (server/chunked-analyze.js).
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// Operator-tunable on the relay; baked into code defaults here on the
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// Recap-app direct path. The defaults match the relay's defaults so
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// segmentation density is consistent across both pipelines.
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//
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// Buckets are TOTAL video duration in minutes:
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// <30 → 6 sections / 30-60 → 8 / 60-90 → 9 / 90-120 → 10
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// 120-150 → 11 / 150-180 → 12 / >=180 → 12
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// Per-window target = total_target × window_sec / total_audio_sec
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// (clamped to ≥1 for single-shot runs).
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function pickTotalSectionsTarget(totalAudioSec) {
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const m = (totalAudioSec || 0) / 60;
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if (m < 30) return 6;
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if (m < 60) return 8;
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if (m < 90) return 9;
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if (m < 120) return 10;
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if (m < 150) return 11;
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if (m < 180) return 12;
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return 12;
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}
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function formatTargetSectionsLabel(avg) {
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if (avg <= 1.2) return "1 section";
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const lo = Math.max(1, Math.floor(avg));
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const hi = Math.max(lo, Math.ceil(avg));
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if (lo === hi) return "around " + lo + " sections";
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return lo + "–" + hi + " sections";
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}
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// ── Topic-analysis prompt builder ───────────────────────────────────────────
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// Takes the parsed transcript entries and builds the JSON-output prompt
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// fed to the analysis model. Indices in the response are positional into
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// the same `entries` array — the caller relies on that contract.
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export function buildAnalysisPrompt(entries) {
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// Takes the parsed transcript entries for a WINDOW and builds the
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// JSON-output prompt fed to the analysis model. Indices in the response
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// are positional into the same window-entries array — the caller relies
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// on that contract.
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//
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// `opts.totalAudioSec` is the FULL audio duration (not just this window),
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// used to scale the section-count target via the per-video-duration table
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// above. When omitted, falls back to deriving from the windowEntries
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// themselves (legacy callers / unit tests / single-shot path).
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export function buildAnalysisPrompt(entries, opts = {}) {
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const numbered = entries
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.map((e, i) => `[${i}] (${formatTime(e.offset)}) ${e.text}`)
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.join("\n");
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return `You are analyzing a video transcript. Your job is to identify natural topic boundaries and group the transcript into discussion-based sections.
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// Window length in minutes (this window's own transcript span).
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const windowSec = entries.length > 1
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? (entries[entries.length - 1].offset || 0) - (entries[0].offset || 0)
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: 0;
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const windowMin = Math.max(1, Math.round(windowSec / 60));
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const maxIndex = Math.max(0, entries.length - 1);
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// Total audio duration drives the per-video-duration target picker.
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// If the caller didn't supply it, assume this is a single-shot run
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// and the window IS the whole audio.
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const totalAudioSec = opts.totalAudioSec || windowSec || 60;
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const totalTarget = pickTotalSectionsTarget(totalAudioSec);
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const numWindows = Math.max(1, totalAudioSec / Math.max(60, windowSec || 60));
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const avgPerWindow = totalTarget / numWindows;
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const targetSections = formatTargetSectionsLabel(avgPerWindow);
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return `You are analyzing a ~${windowMin}-minute section of a longer transcript. Your job is to identify natural topic boundaries and group the transcript into discussion-based sections — aim for ${targetSections}.
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TRANSCRIPT (each line is numbered with a timestamp):
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${numbered}
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@@ -67,13 +121,13 @@ INSTRUCTIONS:
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4. For each section, write:
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- A short, specific topic title (3-8 words)
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- A 1-3 sentence summary of what's discussed
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- The start and end segment indices (inclusive)
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- The start and end segment indices (inclusive), counted as the bracketed [N] number at the start of each transcript line above.
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IMPORTANT:
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- Sections must be chronological and non-overlapping.
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- Every segment index from 0 to ${entries.length - 1} must belong to exactly one section.
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- Every segment index from 0 to ${maxIndex} must belong to exactly one section.
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- startIndex of section N+1 must equal endIndex of section N plus 1.
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- Create as many or as few sections as the content naturally requires.
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- Create as many or as few sections as the content naturally requires — but lean toward broad, substantive topics rather than minute-by-minute breakdowns. A natural topic that spans several minutes of dialogue should be one section, not several.
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- Titles should be descriptive and specific, not generic like "Introduction" unless it truly is one.
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Respond with ONLY valid JSON in this exact format, no other text:
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