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@openmaic/renderer@0.0.3
19
Commits
| Author | SHA1 | Message | Date | |
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 Yizuki_Ameandwyuc
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59a8bac62e |
fix(ssrf): disable redirects in media connectivity probes (#930)
* fix(ssrf): reject redirects in media auth probes * fix(ssrf): stop redirects in strict media probes * fix(ssrf): disable redirects in Google media probes --------- Co-authored-by: wyuc <wang-yc24@mails.tsinghua.edu.cn> |
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Yizuki_Ameandwyuc
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fe35941bfd |
refactor(media): share auth probe across matching adapters (#903)
* test(media): characterize provider auth probes * refactor(media): share auth probe across matching adapters --------- Co-authored-by: wyuc <wang-yc24@mails.tsinghua.edu.cn> |
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Yizuki_Ameandwyuc
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d431d19b1c |
refactor(media): share submit-poll task driver (#900)
* refactor(media): add shared polled task driver * refactor(media): migrate video adapters to shared polling * docs(media): remove obsolete task adapter guidance --------- Co-authored-by: wyuc <wang-yc24@mails.tsinghua.edu.cn> |
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PhillLittlewoodandwyuc
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a2886af92a |
Added ComfyUi to has Image Provider (#850)
* feat: integrate comfyui workflows into image provider selection * style: format code with prettier * fix: align i18n keys for russian locale * feat: implement requested changes and format code * feat: implement requested changes including renaming default workflow --------- Co-authored-by: wyuc <wang-yc24@mails.tsinghua.edu.cn> |
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Yanpeng Wang
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d54e62f5c4 |
feat(token-plan): one-click token-plan setup + deployment usage dashboard (#784)
* feat(usage): add usage normalization, pricing, model-fetch, balance, storage Foundational layer for token-plan usage tracking (cc-switch-modeled): - lib/usage/normalize.ts: AI SDK v6 usage → four-class token shape - lib/usage/pricing.ts + defaults: per-class USD pricing table - lib/server/model-fetch.ts: /models candidate-URL multi-fallback (ported) - lib/usage/balance-providers.ts: built-in balance queries + detection - lib/server/usage-storage.ts: fire-and-forget jsonl logging to data/usage All pure/storage logic covered by vitest (32 tests). * feat(usage): capture token usage at the callLLM/streamLLM chokepoint - callLLM records result.usage before returning - streamLLM wraps onFinish to record totalUsage on stream completion, preserving any caller-supplied onFinish - provider/model derived from the model instance (no route changes) - fs-backed storage imported dynamically; fire-and-forget, never throws - include_usage is already sent by @ai-sdk/openai, so streaming is covered * feat(usage): add probe-models, balance, and usage API routes - POST /api/provider/probe-models: discover chat models via /models with candidate fallback; SSRF-guarded; filters non-chat ids; 401/404 typed - POST /api/provider/balance: built-in balance detection + billing fallback - GET /api/usage: aggregate jsonl by model/day/source with costIncomplete flag Verified e2e against the live MAIC gateway: 16 chat models (6 filtered), balance detected, and a real callLLM writes a costed usage row. * feat(settings): add token-plan preset picker to provider dialog - lib/config/token-plan-presets.ts: data-driven vendor presets (Huawei/MiniMax/ Xiaomi token plans, OpenRouter/SiliconFlow gateways, DeepSeek/GLM/Qwen/Hunyuan/ Doubao direct) with baseURL, protocol, optional modelsUrl, category - add-provider-dialog: '选择厂商/自定义' tabs; picking a preset auto-fills baseURL+protocol+modelsUrl, custom tab unchanged - ProviderSettings.modelsUrl carries the optional /models override - i18n keys added across all 8 locales Verified in-browser: preset picker renders grouped by category. * feat(settings): add Fetch Models button and balance bar to provider panel - 拉取模型: probes /models, merges discovered ids into the model list (dedupe, keeps manual additions), with success/no-endpoint/auth messages - 查询余额: queries /api/provider/balance, renders a balance bar or a 'check console' hint when unsupported - index.tsx: handleModelsFetched merges probe results into provider config - i18n keys across all 8 locales; removed a now-unused eslint-disable Verified in-browser against MAIC gateway: 16 models fetched, balance shown. * feat(settings): add usage dashboard to System Settings - usage-dashboard.tsx: echarts dual-axis daily trend (tokens + cost), totals cards, by-model table, refresh; reads GET /api/usage - mounted at the top of GeneralSettings (系统设置) - honest disclaimer + costIncomplete marker when a model lacks pricing - i18n keys across all 8 locales Verified in-browser: shows 1 request / 31 tokens / $0.0003 from a prior call. * feat(token-plan): multi-modal one-click setup in System Settings - token-plan-presets.ts: presets now declare per-modality targets (llm/image/video/tts/webSearch); MiniMax is the full-set template, others LLM-only — extend by adding entries (at-our-best adaptation) - apply-token-plan.ts: fills one key into every declared modality via injected store setters, isolating per-modality failures (TDD, 4 tests) - token-plan-settings.tsx: new sidebar page — pick plan, enter key, one-click apply lights up adapted modalities (+LLM model probe), shows 'not adapted yet' for the rest, balance bar reused - reverted add-provider dialog to plain custom form (preset picker moved here) - i18n across all 8 locales Verified in-browser: Token Plan page renders, MiniMax shows all 5 modalities, apply/balance UI wired. 859 tests pass, build clean. * feat(token-plan): add custom token plan entry to Token Plan page - Custom card at the bottom of the provider list: pick it to manually enter name + protocol + baseURL (LLM-only), then key + one-click apply via the same applyTokenPlan flow (mirrors cc-switch's custom provider) - effectivePreset unifies preset vs custom for apply/balance/probe - i18n keys (customGroup/customName/customHint) across all 8 locales Verified in-browser: custom card expands the manual form; preset flow intact. * feat(token-plan): reflect persisted config on the Token Plan page Other settings panels read the store directly, so they survive section switches; the Token Plan page only wrote the store, so it looked blank on return. Now it also reads providersConfig: - selecting a preset prefills its saved API key - configured presets show a '已配置/Configured' badge State persistence was never broken (apply writes zustand→localStorage); this fixes the missing read-back so the page reflects it. * fix(settings): isLLMProviderConfigured crashed on providers without models Root cause of 'token plan config disappears': applyTokenPlan writes a new LLM provider with no models yet (probe fills them later). isLLMProviderConfigured did config.models.length unguarded → threw inside setProviderConfig's resolver → the whole set() aborted → key/baseUrl/type never persisted. - guard models in isLLMProviderConfigured (shared validator; affects any provider written without a models array) - seed models:[] in applyTokenPlan's LLM write for a valid initial shape - regression tests: validator no longer throws; apply+probe write keeps apiKey Verified in-browser: DeepSeek persists key and shows 已配置 after section switch. * feat(token-plan): add remove/teardown for a configured token plan Apply had no inverse. Add removeTokenPlan: clears the API key and disables (enabled:false) every modality the plan declared; a custom LLM provider is deleted entirely (removeProvider), built-ins keep the cleared shape. - removeTokenPlan in apply-token-plan.ts (mirrors applyTokenPlan, isolated per-modality, injected setters; 3 tests) - trash button on configured preset cards in the Token Plan page; resets page state if the removed plan was selected - i18n 'remove' across all 8 locales Verified in-browser: removing DeepSeek empties its key and drops the 已配置 badge. * feat(usage): track multimodal usage, drop cost/pricing Reframe usage stats as pure usage (no cost), per user decision: - usage-storage: drop all cost fields; add kind (llm/image/video/tts/asr) + quantity + unit; LLM keeps token counts, others store quantity - delete lib/usage/pricing.ts + pricing-defaults.json + its test - instrument image/video/tts at the server-only API routes (not in the provider dispatch — those files are in the client graph and importing fs-backed usage-storage broke the client bundle) - /api/usage: aggregate by model/day/modality, no cost - dashboard: per-modality usage (tokens/images/seconds/chars), token-only daily trend, no '$'; i18n cost keys replaced with modality/unit keys - backward compatible: legacy rows (no kind, stray cost fields) read as llm 912 tests pass, build clean. * feat(usage): per-modality dashboard layout + softer dark-mode chart - group usage into per-modality sections (LLM/image/video/tts/asr), each table's usage column uses one consistent unit (token/image/sec/char) — no more mixed units in a single column - summary chips per modality with their own unit - trend chart now plots daily REQUESTS (unit-agnostic, works for any modality) instead of LLM-only tokens - theme-aware chart: faint thin line + soft gradient area, muted axis/grid colors via useTheme — fixes the harsh solid stroke in dark mode Verified in-browser (dark): TTS shows '字符', LLM shows 'Token', separate sections; chart no longer has a hard line. * refactor(usage): dedupe model/fetch/usage helpers, parallel balance probe Review cleanups on the token-plan/usage branch: - extract modelInfoFromId() (shared vision heuristic + ModelInfo shape) - extract fetchWithTimeout() shared by model-fetch and balance-providers - extract recordGenerationUsage() to dedupe the image/tts/video routes - queryBalance: fetch billing subscription + usage in parallel - parseOneApiBilling: report quota without remaining when usage endpoint is unavailable, instead of implying zero spend (full balance) - split the two jammed imports in settings/index.tsx * feat(token-plan): drop custom token-plan support Custom token plans (manual baseURL/protocol entry) added complexity for little gain — a one-off provider is better configured directly on the Providers page. Token Plan is now preset-only: - remove custom mode, manual fields, and the custom card from the UI - collapse effectivePreset back to the selected preset - drop the now-dead removeProvider action + custom-id branch in removeTokenPlan - remove orphaned customGroup/customName/customHint i18n keys (8 locales) * feat(token-plan): add Volcengine/Tencent/Bailian plans, drop balance feature Add three vendor token-plan presets (all map to existing built-in LLM providers, so it's data-only — no new adapters): - 火山方舟 Volcengine Ark → doubao, OpenAI /api/v3 - 腾讯 TokenHub Token Plan → tencent-hunyuan, OpenAI /plan/v3 (the plan-specific base; /v1 is the pay-as-you-go gateway) - 阿里百炼 Token Plan → qwen, cross-model plan (Qwen + DeepSeek/Kimi/ GLM/MiniMax) on one key; model list is probed/entered Remove the balance/quota feature entirely — we now track usage, not cost, and every vendor's balance query needs its own cloud AK/SK + signature (Volcengine SigV4 / Tencent TC3 / Aliyun BSS), which the Bearer-key billing-endpoint probe never supported anyway: - delete lib/usage/balance-providers.ts, /api/provider/balance, its test - strip the Check Balance button + balance bar from the token-plan page and the provider config panel - remove the 4 balance i18n keys across all 8 locales - restore an eslint-disable the branch had dropped in provider-config-panel * feat(token-plan): use cloud-brand logos for vendor token plans The three vendor plans are cloud offerings, not single-model products, so icon them with the cloud brand rather than a model logo: - 火山方舟 → volcengine.svg (was doubao.svg) - 腾讯 TokenHub → tencentcloud.svg (was hunyuan.svg) - 阿里百炼 → alibabacloud.svg (was bailian.svg) Logos are the colored brand variants from lobehub/lobe-icons, matching the existing colored-logo style (plain <img>, no dark:invert needed). * feat(token-plan): keep only MiniMax and Volcengine presets Trim the token-plan list to the two we want to ship: MiniMax (full-set template) and 火山方舟 Volcengine Ark. Drop the Tencent/Bailian plans and the OpenRouter/SiliconFlow/DeepSeek/GLM/Qwen entries. - remove the now-unused tencentcloud.svg / alibabacloud.svg logos (volcengine.svg stays; the other logos are still used by the provider registry) - retarget the LLM-only apply test from the deleted deepseek preset to volcengine-ark * feat(token-plan): restore aggregator/third-party presets Previous commit over-trimmed: the intent was to drop only the Tencent and Bailian token plans, not the OpenRouter/SiliconFlow/DeepSeek/GLM/Qwen entries. Bring those back; keep only Tencent/Bailian removed. - token_plan: MiniMax, 火山方舟 Volcengine Ark - aggregator: OpenRouter, SiliconFlow - third_party: DeepSeek, GLM, Qwen Revert the apply test back to the deepseek fixture (restored). tencentcloud.svg / alibabacloud.svg stay deleted (their plans are gone). * fix(token-plan): point Volcengine plan at the Coding Plan endpoint The plan's ark--prefixed API keys authenticate only against /api/coding/v3, not the general /api/v3 endpoint — the latter rejects them with "The API key format is incorrect", so model probing returned nothing. Switch the base URL to https://ark.cn-beijing.volces.com/api/coding/v3. * fix(token-plan): Volcengine is an Agent Plan (Anthropic /api/plan) Per the Ark Agent Plan docs, the ark--prefixed keys authenticate ONLY against the dedicated Anthropic-compatible base https://ark.cn-beijing. volces.com/api/plan ("其他 Base URL 无法在 Agent Plan 中使用"). The general /api/v3 and the Coding Plan /api/coding endpoints both reject the key as "API key format is incorrect", which is why model probing kept returning 0. - baseUrl → https://ark.cn-beijing.volces.com/api/plan/v1 (the /v1 lets the Anthropic SDK land on /api/plan/v1/messages) - apiFormat → anthropic - rename to 火山方舟 Agent Plan Probe still targets /api/plan/v1/models (the path exists); if the Anthropic gateway doesn't return an OpenAI-shaped list, users fall back to typing a model id like ark-code-latest. * fix(token-plan): Volcengine Agent Plan = OpenAI /api/plan/v3 + ark-code-latest Settled after probing the real key and reading cc-switch's approach: - The ark- plan key works on the OpenAI-compatible /api/plan/v3 endpoint (chat/completions returns 200); switch apiFormat back to openai. - The plan exposes NO /models list (every /api/plan/*/models is 404), which is why probing kept returning 0. cc-switch handles this by hardcoding a single ark-code-latest (an auto-routing alias valid on any tier) and does NOT use AK/SK for model listing — so we do the same. - Seed defaultModels: ['ark-code-latest'] only; users add specific ids by hand. Supporting machinery (kept, general-purpose): - applyTokenPlan seeds models from defaultModels instead of wiping to [] - handleApply uses defaultModels and skips the doomed probe when present - drop stray .playwright-mcp/ debug artifacts and gitignore them * style: fix prettier formatting in usage files CI runs prettier on the whole repo (prettier . --check); these four files predate this branch's formatting pass and tripped the check. * feat(token-plan): verify Volcengine Agent Plan's published model set The Agent Plan publishes a fixed model set but exposes no /models endpoint, so carry the documented models as CANDIDATES and verify each on apply: - add verifyModels flag to TokenPlanModalityTarget - new /api/provider/probe-chat-models route: sends a minimal chat request per candidate (OpenAI /chat/completions or Anthropic /messages) in parallel, returns the subset that succeeds; SSRF-guarded, auth-failure short-circuits - handleApply gains a verify branch (before the fixed-defaultModels fast path), falling back to the seeded list if verification fails - Volcengine preset now carries the 12 published Agent Plan text models (doubao-seed-2.0-*/deepseek-v4-*/minimax-m*/glm-5.2/kimi-k2.*) as candidates This auto-prunes retired (docs flag deepseek-v3.2/glm-5.1 as 即将下线) and tier-gated models without code changes. Verified all 12 resolve against a real plan key. * feat(token-plan): wire Volcengine Agent Plan image + video modalities Make the Ark seedream/seedance adapters path-configurable and light up the image/video modalities on the Volcengine plan: - seedream/seedance adapters: resolveArkRoot() uses baseUrl verbatim when it already carries an /api/... path (token plan's /api/plan/v3), else appends the standard /api/v3 — no regression for the pay-as-you-go default host. - applyTokenPlan: image/video branches inject a modality's defaultModels as customModels and set them as the active provider+model, so generation works out of the box. New optional setImageProvider/ModelId + setVideoProvider/ ModelId actions (UI passes the store setters; tests omit them). - Volcengine preset declares image (doubao-seedream-5.0-lite, verified 200 on /api/plan/v3/images/generations) and video (doubao-seedance-2.0/1.5-pro — Medium+ tiers only; lower tiers reject at call time, no code change needed to upgrade). Applying the plan overwrites the shared seedream/seedance slot with the plan config (same overwrite model as LLM); switching back to pay-as-you-go is a manual edit or plan removal. Verified image end-to-end with a real plan key. * feat(token-plan): verify image/video models on apply, disable unsupported tiers The Volcengine plan lit up video optimistically, but lower tiers (Small) don't include video — so using it 404'd with UnsupportedModel. Probe media models on apply and only keep what the tier actually supports: - generalize /api/provider/probe-chat-models with a `kind` (chat|image|video): image hits /images/generations, video hits /contents/generations/tasks with empty content. The model-support check (404 UnsupportedModel) runs before any billable work, so probing never starts a real image/video job; for media, "supported" = any non-404 response. - handleApply: after lighting up image/video, probe each verifyModels modality; prune to the verified model set + re-select a working model, or disable the modality entirely if none pass (no false "available"). - Volcengine preset: image/video targets gain verifyModels: true. - add settings.tokenPlan.tierUnsupported across 8 locales. Verified with a real Small-tier key: image (seedream-5.0-lite) passes and is kept; video (seedance-2.0/1.5-pro) 404s and is disabled. * feat(web-search): add Doubao (豆包搜索) provider Doubao Search (Custom 版) over its REST endpoint POST open.feedcoopapi.com/search_api/web_search with Bearer auth — the same endpoint the askecho-search-infinity MCP server wraps, so the Volcengine Agent Plan key authenticates directly. Mirrors the MiniMax adapter: maps Result.WebResults to WebSearchSource (prefers Summary, the query-relevant excerpt, over Snippet for LLM use) and surfaces errors from ResponseMetadata.Error. - register 'doubao' in WebSearchProviderId + WEB_SEARCH_PROVIDERS - searchWithDoubao adapter, searchWeb dispatch, store default config - SSRF allowlist entry for the search host * feat(audio): support Agent Plan single-key auth for Doubao TTS generateDoubaoTTS now picks auth + endpoint from the key shape, since Volcengine exposes Seed-TTS as two products with separate credentials (verified: a plan key 401s on the normal endpoint, and the plan endpoint rejects appId-style auth): - single key (no colon) -> X-Api-Key, for the Agent Plan /plan endpoint - appId:accessKey -> X-Api-App-Id + X-Api-Access-Key (unchanged) A malformed pair (empty half) fails clearly instead of sending an empty header. Reuses the existing NDJSON/base64-mp3 parsing and voice list. * fix(media): map MiniMax video 720p to its real 768P tier normalizeVideoOptions defaults minimax-video to '720p' (the first supported resolution), but Hailuo 2.3 only accepts 768P/1080P and rejects 720P with '2013 ... does not support resolution 720P'. MiniMax's mid tier is 768P, not 720P (the adapter already falls back to 768P, as does the connectivity test), so map the shared enum's '720p' to 768P. Regression tests lock the mapping. * feat(token-plan): add web search + TTS to Volcengine Agent Plan, widen image tiers Extend the volcengine-ark preset now that the adapters exist: - webSearch -> doubao (own host open.feedcoopapi.com, not the ark endpoint) - tts -> doubao-tts on the /api/plan/tts endpoint (single-key auth) - image defaultModels widened to a best-first Seedream 5.0/4.5/4.0 list so a higher tier keeps the strongest model while verifyModels prunes the rest; video keeps the 2.0 + 1.5-pro candidates Comments record the verified host/auth quirks of each modality. * feat(token-plan): show result panel only after probing, with two clear states Addresses review feedback that a green check implied generation works when it only meant 'configured'. The panel now renders after probing finishes (gated on results && !applying) so it reflects the final set, and uses two states: green when the modality is configured/usable, muted when a live probe proved it unavailable (e.g. video on a tier without it). * feat(token-plan): scope presets to true multi-modal token plans Drop the single-modality LLM presets (OpenRouter, SiliconFlow, DeepSeek, GLM, Qwen) from Token Plan. A token plan's defining trait is one key spanning many modalities; those entries are ordinary LLM API providers already covered by the add-provider flow, and listing them here muddied the 'one key, every modality' promise. Only MiniMax and the Volcengine Ark Agent Plan remain. The UI already hides categories with no entries. apply-token-plan's LLM-only test now uses a local fixture instead of the removed deepseek preset. * feat(token-plan): progressive reveal of probe results on apply The result panel previously rendered all at once after probing finished, reading as dead air during the model probe. Now rows appear immediately on Apply: modalities with a live probe in flight show a spinner ('pending') and resolve to lit/failed independently as each probe returns, while non-probe modalities show lit right away. Probes run in parallel (Promise.all) instead of sequentially. A row only turns green once its own probe confirms, so this reveals structure + live progress without a premature green — complementing the earlier 'render only after probing' intent rather than reverting it. Per review feedback from @wyuc on #784. * fix(token-plan): enrich seeded models with built-in thinking capability Token Plan built ModelInfo objects from probed ids via modelInfoFromId(), filling only streaming/tools/vision — so a model that supports configurable thinking lost capabilities.thinking and InlineThinkingControl was hidden. modelInfoFromId now takes an optional providerId and overlays the catalog thinking capability for that (provider, model) pair; applyTokenPlan does the same for its synchronously-seeded list. Added the Ark Agent Plan's dotted aliases to the metadata table: - native Doubao Seed 2.0 family (doubao-seed-2.0-pro/code/lite/mini) - cross-vendor models the plan serves through its OpenAI-compatible endpoint (deepseek-v4-pro/flash, glm-5.2, kimi-k2.7-code/k2.6, minimax-m3/m2.7, ark-code-latest) All verified against a live plan key: each accepts the gateway's unified reasoning_effort field (low/medium/high) and actually reasons. They share the doubao effort adapter, which disables via 'minimal' (not 'none') — matching what the plan endpoint accepts (it rejects reasoning_effort:'none'). Addresses review point #1 from @wyuc on #784. * Improve token plan capability setup UI * fix token plan setup flow * chore: prettier format tts-providers.ts |
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wyuc
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8a9cf24a77 |
Update Doubao Seed model catalog (#827)
Closes #826 |
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wyuc
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7cb129183d |
chore(packages): publish the @openmaic/* SDK family to npm (#778) (#780)
* chore(packages): publish the @openmaic/* SDK family to npm (#778) Prepares the @openmaic/{dsl,renderer,importer} family for its first npm publish, and moves the SDK packages onto the @openmaic scope. Why the scope move: the @maic org name is unavailable on npm (an unscoped `maic` package already holds the name), so @maic/* is not claimable. @openmaic matches the project name, the scope is free, and the repo already ships an @openmaic/docs package — so the SDK family now lines up with that convention. - rename @maic/{dsl,renderer,importer} -> @openmaic/* across packages, the workspace glob, the package dir, and all import sites; lockfile regenerated - renderer: add publishConfig (public, registry.npmjs.org) — was missing, so a scoped publish would default to the wrong registry / restricted access - importer: add a files allowlist (dist, README, LICENSE) and drop the fragile .npmignore blacklist that shipped src; add an exports map so ESM consumers resolve dist/index.js instead of falling back to the .cjs main - all three: add a prepublishOnly build (+ test/typecheck) guard so a publish can never ship a stale or empty dist - add a tag-triggered publish workflow with npm provenance, pinned by name to the three @openmaic packages so the vendored forks (mathml2omml, pptxgenjs) are never published Refs #778, #720 (Phase 1). * fix(packages): address cross-review on the @openmaic publish prep Cross-review (Claude /code-review + codex) on this PR surfaced: - renderer's advertised CJS entry was broken: it keeps @openmaic/dsl external and imports a runtime enum from it, but dsl is ESM-only (no `require` condition), so `require('@openmaic/renderer')` would throw ERR_PACKAGE_PATH_NOT_EXPORTED. Make renderer ESM-only: drop the `.cjs` rollup output, `main` now points at the ESM build, and the `require` conditions are removed from `exports`. (importer is unaffected — it bundles dsl, so its CJS build still works.) - prepublishOnly re-ran the test suite during `pnpm -r publish`, so a flaky test after dsl had already published gave a non-atomic partial release. Reduce prepublishOnly to a build-only guard (never ship stale/empty dist) and move the real test/typecheck gate into the workflow, before any publish. - document that an @openmaic/* tag publishes the whole family via `pnpm -r` (pnpm skips already-published versions); the tag is a release marker, not a per-package gate. Verified: dsl + renderer + importer build; renderer emits ESM only (0 .cjs), all exports entries resolve; `npm pack` ships dist + README + LICENSE with no src leak; frozen-lockfile passes. Refs #778. * style: reflow @openmaic/dsl type imports past print-width after rename The @maic -> @openmaic rename lengthened two single-line type imports past prettier's 100-col width; prettier --check flagged them. Pure formatting. Refs #778. * docs(importer): mark @openmaic/importer browser-only (cr-loop accepted limitation) codex cross-review flagged that the published @openmaic/importer throws `XMLHttpRequest is not a constructor` when loaded in a pure Node process — its rollup build is browser-targeted (`nodeResolve({browser:true})` + a browser pdf.js build). The app only consumes it client-side ('use client'), so this is by design. Document it as an accepted limitation: prominent browser-only note in the README and a `browser` field in the manifest. Refs #778. |
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wyucandClaude Opus 4.8
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4dce1f7414 |
refactor(types): import the slide DSL directly from @maic/dsl; drop the shim (#738)
#707 left lib/types/slides.ts as a thin `export * from '@maic/dsl'` shim so the ~100 existing `@/lib/types/slides` import sites kept working unchanged. Point them at `@maic/dsl` directly and delete the shim, so the app consumes the package contract with no indirection and the legacy module path is gone. Pure module-specifier migration — every symbol imported from `@/lib/types/slides` was already a re-export of the same `@maic/dsl` symbol, so behavior is identical. Also redirects the two `lib/types` relative importers (`./slides`), the e2e fixture's relative import, and the dynamic `import('../types/slides').Slide` type alias in stage-storage; merges the now same-module import pair in slide-edit-elements. Verified: tsc --noEmit clean, eslint clean, vitest 804/804, next build OK, e2e (Playwright) 19/19. Part of #720 (Phase 1). Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> |
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wyuc
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e5709790f0 | fix: hide unsupported MiniMax Hailuo fast T2V model (#632) | ||
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wyuc
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2dff6d10be |
feat: add generated video manifest refs (#540)
* feat: add generated video manifest refs * style: format video manifest changes * fix: address video manifest review feedback |
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Helckandxuruiray
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46b61dedfd |
feat: add HappyHorse video adapter (#509)
Add Alibaba Cloud DashScope HappyHorse text-to-video support as an OpenMAIC video generation provider. Co-authored-by: xuruiray <15962843+xuruiray@users.noreply.github.com> |
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be759a8252 |
feat: add lemonade to provider (#508)
* feat: add lemonade to provider * fix(lemonade): correct TTS/ASR model IDs and expand Kokoro voices - TTS model: kokoro → kokoro-v1 - ASR model: single 'whisper' → 6 Whisper variants (Base/Large-v3/Large-v3-Turbo/Medium/Small/Tiny), default Whisper-Base - Expand lemonade-tts voices to full Kokoro v1 set (54 voices across en-US/en-GB/zh-CN/ja-JP/es/fr-FR/hi/it-IT/pt-BR) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(lemonade): zh-TW i18n parity, real Kokoro default voice, language code consistency - zh-TW.json: add missing providerLemonadeTTS/ASR/Image keys - TTS default voice: 'default' → 'af_heart' (Kokoro expects real voice ID, not placeholder) - Voice language codes: 'es'/'hi' → 'es-ES'/'hi-IN' for consistency Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * test(lemonade): add unit tests for image/TTS/ASR adapters and wav-utils Covers: - lib/media/adapters/lemonade-image-adapter: request shape, base URL fallback, custom model, optional Bearer auth, error paths, connectivity probe - lib/audio/tts-providers (lemonade-tts case): request body (model/voice/format), af_heart fallback, optional auth, error path - lib/audio/asr-providers (lemonade-asr case): WAV-only validation, model/language form fields, "audio is empty" graceful empty result, error propagation, default model fallback - lib/audio/wav-utils: isWavBlob detection by MIME and filename, normalizeASRUploadAudio pass-through and wav handling Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(lemonade): remove text path fork and harden fallbacks * style: format lemonade tts files * i18n: add lemonade voice language labels * fix(lemonade): align image default model and harden wav detection * test(lemonade): fix File BlobPart typing * fix(lemonade): simplify tts voice selection and clear asr test state * docs: highlight Lemonade support --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> Co-authored-by: wyuc <wang-yc24@mails.tsinghua.edu.cn> |
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wyuc
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a95aa87bf1 | support recent model providers (#481) | ||
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kaiyuan ZhangandClaude
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cce7087f67 |
Fix action filtering logic and add safety improvements (#163)
* fix: fix 3 bugs found during code review 1. formatQuestionsForPrompt called .join() on QuizOption objects, producing "[object Object]" in AI prompts instead of readable option text (e.g. "A. Option1, B. Option2"). 2. json-repair Fix 1 regex double-escaped valid JSON escapes (\t, \n, \r, \b, \f) and couldn't handle strings with escaped quotes. Now uses a proper string-aware regex and preserves valid escapes. 3. PlaybackEngine spotlight/laser actions used synchronous recursion via processNext(), risking stack overflow with many consecutive non-speech actions. Now uses queueMicrotask() to break recursion. https://claude.ai/code/session_01JdigqQtiAvomeifvWSQbjm * fix: ensure allowedActions whitelist applies to non-slide scenes The early return in Step 6 (slide-only action filter) caused Step 7 (allowedActions whitelist) to be skipped for non-slide scenes. This meant hallucinated actions from agents in quiz/interactive/pbl scenes were not filtered by the role-based allowedActions whitelist. Refactored to use a mutable result variable instead of early returns so both filters always apply. https://claude.ai/code/session_01JdigqQtiAvomeifvWSQbjm * fix: prevent video playback hang and division by zero in CJK detection 1. executePlayVideo could hang forever if the video element was invalid or the state change was missed between playVideo() and subscribe(). Added a 5-minute safety timeout to prevent indefinite blocking. 2. CJK language detection in browser TTS divided by chunkText.length without checking for empty strings, producing NaN. Now guards against zero-length text. https://claude.ai/code/session_01JdigqQtiAvomeifvWSQbjm * fix: prevent ordered entry with invalid index when partial text has no remaining content When a previously-partial text item completed but all content had already been streamed as deltas (remaining is empty), the code still pushed an ordered entry pointing to textChunks.length - 1, which could be -1 or reference an unrelated chunk. This caused spurious warnings in director-graph and potential text loss. Now only pushes the ordered entry when there is actual remaining content to emit. https://claude.ai/code/session_01JdigqQtiAvomeifvWSQbjm * fix: validate quiz points parameter and fix parse-pdf metadata spread order 1. quiz-grade: `points` from request body was used without validation, causing NaN in score calculation and invalid JSON responses when points was undefined, negative, or non-numeric. Now validates it is a positive finite number. 2. parse-pdf: metadata spread order put the default `pageCount` before `...result.metadata`, so the spread would overwrite the fallback. Fixed by spreading metadata first, then applying defaults after. Also changed `||` to `??` so pageCount=0 is preserved correctly. https://claude.ai/code/session_01JdigqQtiAvomeifvWSQbjm * fix: crash in moveUpElement, dead-code in video options, wrong parens in canCombine 1. use-order-element.ts: moveUpElement crashed with TypeError when a grouped element was already at the top of the z-order. The code accessed copyOfElementList[maxLevel + 1] without bounds checking, then dereferenced .groupId on undefined. Added early return guard matching the pattern used in the non-grouped branch. 2. video-providers.ts: normalizeVideoOptions had a dead-code ternary inside an if-block that already proved the condition was false. Simplified to directly use the fallback value. 3. use-canvas-operations.ts: canCombine check had incorrect parenthesization: (el.groupId && el.groupId) === firstGroupId evaluated the && first, which is equivalent to just el.groupId. Fixed to: el.groupId && el.groupId === firstGroupId. https://claude.ai/code/session_01JdigqQtiAvomeifvWSQbjm * style: fix prettier formatting in 3 files https://claude.ai/code/session_01JdigqQtiAvomeifvWSQbjm * fix: use valid ApiErrorCode in quiz-grade route INVALID_PARAMETER is not a member of API_ERROR_CODES. Use INVALID_REQUEST instead, which is the appropriate code for invalid request parameters. https://claude.ai/code/session_01JdigqQtiAvomeifvWSQbjm --------- Co-authored-by: Claude <noreply@anthropic.com> |
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wyucandHi-Jiajun
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9badd59856 |
feat: add and expand MiniMax provider support (#182)
Add MiniMax LLM models (M2–M2.7), TTS provider (speech-2.8/2.6/02/01), image generation (image-01), and video generation (Hailuo 2.3/02, T2V-01). Unify base URLs to api.minimaxi.com and add MiniMax-specific base URL normalization for the Anthropic-compatible endpoint. Co-authored-by: Hi-Jiajun <3138947285@qq.com> |
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Madoka
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e92d1958a6 |
feat: add Grok (xAI) support as an LLM, image generation, and video generation provider (#113)
* feat: add Grok (xAI) provider support for LLM, Image and Video generation - Add Grok as LLM provider (OpenAI-compatible, 11 models including grok-4.20, grok-4, grok-3) - Add Grok Image generation provider (grok-imagine-image, grok-imagine-image-pro) - Add Grok Video generation provider with async polling (grok-imagine-video) - Add env vars: GROK_*, IMAGE_GROK_*, VIDEO_GROK_* - Add web search note: Grok search is via chat completions, not standalone API - Update README/README-zh with Grok in supported providers Closes #87 * fix: ensure new image/video providers are auto-added to persisted settings Add ensureBuiltInImageProviders and ensureBuiltInVideoProviders functions that run on every store rehydrate, mirroring the existing LLM provider sync logic. Without this, Grok Image/Video providers would not appear for users with existing localStorage settings. * fix: add missing English translation for providerGrokVideo * style: fix prettier formatting for grok video provider * fix: remove unsupported grok multi-agent model and improve video error |
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wyucandClaude Opus 4.6
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843d33e5cc |
chore: enforce Prettier formatting and fix lint issues
- Add .prettierignore to exclude vendor packages, lock files, markdown, and YAML - Update .prettierrc: printWidth 100, singleQuote, trailingComma "all" - Run Prettier across all source files for consistent formatting - Fix unused imports (UserRequirements, setTTSProvider) - Fix eslint-disable comment placement after Prettier reformat Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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wyucandClaude Opus 4.6
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633a30700d |
fix: remove non-existent Seedream 5.0 non-lite model entry
The API only offers Seedream 5.0 Lite (model ID remains doubao-seedream-5-0-260128). Remove the phantom lite-260128 entry and update display name accordingly. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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wyucandClaude Opus 4.6
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0d20abfed9 |
Initial commit: OpenMAIC AI classroom platform
Next.js 16 App Router application with: - AI-powered interactive classroom generation from PDF/text requirements - Multi-agent discussion system (teacher, students, assistant roles) - Provider abstraction for LLM, TTS, ASR, image, video, web search - Local-first data architecture (IndexedDB/Dexie) - i18n support (zh-CN/en-US) - Structured logger, SSRF guard, lint/build passing (0 errors) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |