Keysat
dba478aa23
Four incremental upgrades to the AI program generator. No schema change, no /data migration.
1. History as context (the killer feature)
- lib/ai/historyContext.ts builds a 90-day per-exercise rollup:
frequency, recent weights, estimated 1RM (Epley), avg RPE,
days-since-last, plus a STAGNANT flag when the heaviest weight in
the new half doesn't beat the old half.
- Generate page surfaces an "Include my workout history as context"
checkbox (default on at >=10 logged workouts). When checked, the
~1-3 KB summary is appended to the system prompt so the model can
recommend things like "you've stalled bench at 245 — try paused reps."
- We deliberately don't ship raw set logs (privacy + token cost).
2. Test connection
- POST /api/ai/test sends a tiny "say hi in 3 words" prompt and
reports latency + first sample, or the error inline.
- "Test connection" button next to "Save AI config" in
Settings -> AI integration. Verifies provider/model/key/baseUrl
without going through full program generation.
3. Cost estimator
- lib/ai/pricing.ts ships a price table for major models
(Claude 3.5/3.7/4/4.5, GPT-4o/5/o1/o3/o4-mini, Gemini 1.5/2.0/2.5).
Ollama always returns 0; openai-compatible returns null.
- Generation history shows per-row cost + a 30-day rolling total
at the top of the page.
4. Streaming preview render
- lib/ai/lenientJson.ts: stack-aware partial-JSON parser that
auto-closes open strings/brackets/braces in reverse-of-opening
order, drops dangling key:value pairs and partial keywords.
Returns a best-effort snapshot of the program-so-far on each chunk.
- Generate UI now renders a live "Building program..." panel that
updates as weeks/days/exercises arrive instead of just showing
raw text and waiting for stream end.
Tests: 26 new (ai-historyContext.test.ts, ai-lenientJson.test.ts,
ai-pricing.test.ts). 161 total pass.
62 lines
3.0 KiB
TypeScript
62 lines
3.0 KiB
TypeScript
import { IMPOSSIBLE, VersionInfo } from '@start9labs/start-sdk'
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/**
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* v1.1.0:3 — AI: workout-history context, test connection,
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* cost estimator, streaming preview render.
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*
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* History context (the killer feature)
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* - lib/ai/historyContext.ts builds a compact 90-day rollup of
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* the user's training: per-exercise frequency, recent weights,
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* estimated 1RMs (Epley), avg RPE, days-since-last, plus a
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* STAGNANT flag when the heaviest weight in the new half of
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* the window doesn't beat the old half.
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* - Generate page has an "Include my workout history as context"
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* checkbox (default on if you have ≥10 logged workouts). When
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* checked, the summary is appended to the system prompt so the
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* model can recommend things like "you've stalled bench at 245
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* for 6 weeks — try paused reps."
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* - The summary is text, ~1-3 KB even for heavy users. We
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* deliberately don't ship raw set logs (privacy + token cost).
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*
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* Test connection
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* - POST /api/ai/test sends a tiny "say hi in 3 words" prompt
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* against the user's configured provider and reports
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* latency + first sample of the response, or the error inline.
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* - "Test connection" button next to "Save AI config" in
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* Settings → AI integration. Lets you verify the provider/
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* model/key/baseUrl combo without going through full program
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* generation.
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*
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* Cost estimator
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* - lib/ai/pricing.ts ships a price table for the major models
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* (Claude Sonnet/Opus/Haiku 4-5, GPT-5/4o/o3, Gemini 2.5/2.0).
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* Ollama always returns 0 (self-hosted, no per-token cost).
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* openai-compatible returns null (we don't know the gateway's
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* pricing).
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* - Generation history shows per-row cost + a 30-day rolling
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* total at the top of the page.
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*
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* Streaming preview render
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* - lib/ai/lenientJson.ts: a stack-aware partial-JSON parser
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* that auto-closes open strings/brackets/braces in
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* reverse-of-opening order, drops dangling key:value pairs
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* and partial keywords. Returns a best-effort snapshot of
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* the program-so-far on each chunk.
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* - Generate UI now renders a live "Building program..." panel
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* that updates as weeks/days/exercises arrive, instead of
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* just showing raw text and waiting for stream end.
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*
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* No schema changes. /data is untouched.
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*/
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export const v_1_1_0_3 = VersionInfo.of({
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version: '1.1.0:3',
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releaseNotes: {
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en_US:
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'AI program generation gets four upgrades: (1) include your last 90 days of workout history as context — the model designs around your actual frequency, current weights, and stagnations; (2) "Test connection" button in Settings to verify provider/model/key without a full generation; (3) per-generation USD cost + 30-day rolling total in the history page (Ollama is free, openai-compatible gateways are unknown); (4) streaming preview renders the program tree as the model writes it instead of waiting for the full response. No data migration.',
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},
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migrations: {
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up: async () => {},
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down: IMPOSSIBLE,
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},
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})
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