Files
proof-of-work/start9/0.4/startos/versions/index.ts
T
Keysat 91b5b04d97
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CI / start9/0.4 (StartOS package code) (push) Waiting to run
v1.2.0:7 — add SparkControl AI provider + fix base-URL footgun
SparkControl is a self-hosted local-inference gateway with an OpenAI-compatible API, reached over the internal same-box StartOS address (http://spark-control.startos:9999/v1, plain HTTP). It takes no API key, so generateOpenAIStyle gained a { requireApiKey } option and now omits the Authorization header when no key is set. The Settings form auto-detects the loaded vLLM model via SparkControl's /api/endpoints probe, mirroring the Ollama auto-detect; it's $0 in the cost UI. Custom-URL => admin-only + SSRF-guarded, same as Ollama.

Also fixes a config footgun behind the empty-response report: a custom base URL could ride along to a fixed-URL provider (claude/openai/gemini) whose form field is hidden, get stored, and be silently ignored (the provider always hits its hardcoded endpoint). Both config write paths now null baseUrl for non-custom-URL providers, and the form clears it on provider change.

No schema/data change (AIConfigProfile.provider is free-text). 259 tests pass; built + sideloaded to immense-voyage.local with a clean non-root launch.
2026-06-19 14:47:30 -05:00

122 lines
5.6 KiB
TypeScript

import { VersionGraph } from '@start9labs/start-sdk'
import { v_1_0_0_1 } from './v1.0.0.1'
import { v_1_0_0_2 } from './v1.0.0.2'
import { v_1_0_0_3 } from './v1.0.0.3'
import { v_1_0_0_4 } from './v1.0.0.4'
import { v_1_0_0_5 } from './v1.0.0.5'
import { v_1_0_0_6 } from './v1.0.0.6'
import { v_1_0_0_7 } from './v1.0.0.7'
import { v_1_1_0_1 } from './v1.1.0.1'
import { v_1_1_0_2 } from './v1.1.0.2'
import { v_1_1_0_3 } from './v1.1.0.3'
import { v_1_1_0_4 } from './v1.1.0.4'
import { v_1_1_0_5 } from './v1.1.0.5'
import { v_1_1_0_6 } from './v1.1.0.6'
import { v_1_1_0_7 } from './v1.1.0.7'
import { v_1_1_0_8 } from './v1.1.0.8'
import { v_1_1_0_9 } from './v1.1.0.9'
import { v_1_2_0_1 } from './v1.2.0.1'
import { v_1_2_0_2 } from './v1.2.0.2'
import { v_1_2_0_3 } from './v1.2.0.3'
import { v_1_2_0_4 } from './v1.2.0.4'
import { v_1_2_0_5 } from './v1.2.0.5'
import { v_1_2_0_6 } from './v1.2.0.6'
import { v_1_2_0_7 } from './v1.2.0.7'
/**
* Version graph for the `proof-of-work` package.
*
* 1.0.0 line — feature-complete logger + multi-user + library curation.
* 1.1.0 line — Programs (manual + AI) + AI integration.
* 1.2.0 line — platform upgrade (Next.js 15 / React 19).
*
* v1.0.0:1 — initial release, seeded cutover.
* v1.0.0:2 — CSP fix.
* v1.0.0:3 — post-cutover seed strip.
* v1.0.0:4 — removes default admin@local credentials.
* v1.0.0:5 — caloriesBurned raw-SQL workaround removed.
* v1.0.0:6 — paginate workout history (infinite scroll).
* v1.0.0:7 — exercise library cleanup, photo-import removal.
* v1.1.0:1 — Programs UI (manual create / save / follow).
* v1.1.0:2 — AI program generation, 5 providers (Claude / OpenAI /
* OpenAI-compatible / Gemini / Ollama).
* v1.1.0:3 — AI upgrades: history-as-context, test connection,
* cost estimator, streaming preview render.
* v1.1.0:4 — AI integration overhaul: multi-config persistence,
* background generation (survives navigation), Ollama
* auto-detect + installed-model dropdown, curated model
* dropdowns for Claude / OpenAI / Gemini with current
* 2026 model names, system-prompt overhaul forcing library
* exerciseIds + suggested weights, sidebar sub-navigation,
* history detail view.
* v1.1.0:5 — Gemini menu correctness: adds gemini-3.1-pro (short),
* gemini-3.1-flash, gemini-3.1-flash-lite, gemini-3-pro,
* gemini-3-flash + pricing entries.
* v1.1.0:6 — Exercise-history popup max-height bumped from ~320px
* (5 rows) to 70vh (~15+ rows). Users with deep history
* can scroll without fighting a tiny inner scrollbar.
* v1.1.0:7 — Exercise-history popup auto-loads more rows on scroll
* (switched from a flaky IntersectionObserver-in-popup to
* a plain scroll listener with 300px lookahead).
* v1.1.0:8 — Multi-user authz hardening: whole-instance DB export/import
* admin-only; custom-URL AI providers (Ollama / OpenAI-compatible)
* admin-only + SSRF guard; dead legacy /api/ai/config removed.
* v1.1.0:9 — P2 hardening: malformed-body/invalid-date/bad-pagination ->
* 400 (not 500); POST /api/auth rate-limited; rate-limiter XFF
* anti-spoof (rightmost entry); container drops root via su-exec.
* v1.2.0:1 — Next.js 14 -> 15 / React 18 -> 19 upgrade. Closes the Next
* framework RSC + middleware-bypass CVEs; async-params migration
* across all [id] routes + server pages. No schema/data change.
* v1.2.0:2 — Login/signup first-tap retry: iOS Safari drops the first
* server-action POST on a stale keep-alive socket
* (NSURLErrorNetworkConnectionLost); retry once on transport
* failure. Client-only, no schema/data change.
* v1.2.0:3 — P3 hardening: close the login timing oracle (dummy-hash
* bcrypt on unknown email) and enforce exerciseId ownership on
* workout create/PATCH/add-sets + CSV-import-save (shared
* lib/exerciseOwnership). No schema/data change.
* v1.2.0:4 — Avg. watts promoted to a first-class set field (SetLog.watts
* column, added by the boot-time additive ALTER). Written through
* every set path; legacy watts in customMetrics stays readable and
* migrates on next save.
* v1.2.0:5 — Gear (breathing, 1-5, Brian MacKenzie) replaces RPE as the effort
* field for cardio exercises (type "cardio" or "cardio" muscle
* group); strength keeps RPE. New SetLog.gear column via boot ALTER.
* v1.2.0:6 — AI "generate today's workout": describe a single session and get
* a ready-to-log workout (suggested weights/reps from history),
* inline-edit + refine-with-AI, then pre-fill the workout log.
* Reuses the generation spine via a new AIGeneration.kind
* discriminant (boot ALTER, default "program"). No data changes.
* v1.2.0:7 — SparkControl AI provider (6th provider): keyless, same-box
* internal address, model auto-detected via /api/endpoints. Plus a
* base-URL footgun fix (a custom URL could attach to a fixed-URL
* provider and be silently ignored). No schema/data change.
*/
export const versionGraph = VersionGraph.of({
current: v_1_2_0_7,
other: [
v_1_0_0_1,
v_1_0_0_2,
v_1_0_0_3,
v_1_0_0_4,
v_1_0_0_5,
v_1_0_0_6,
v_1_0_0_7,
v_1_1_0_1,
v_1_1_0_2,
v_1_1_0_3,
v_1_1_0_4,
v_1_1_0_5,
v_1_1_0_6,
v_1_1_0_7,
v_1_1_0_8,
v_1_1_0_9,
v_1_2_0_1,
v_1_2_0_2,
v_1_2_0_3,
v_1_2_0_4,
v_1_2_0_5,
v_1_2_0_6,
],
})