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@openmaic/generation@0.3.2
37
Commits
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 wyucandClaude Fable 5
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04621578de |
release: OpenMAIC 1.0.0 — the agent workbench (#1228)
* feat(storage): add an agent-session store with PG backend and layered contracts (#1163) * feat(storage): add agent-session store with PG backend and layered contracts * test(storage): avoid BigInt literals for pre-ES2020 root typecheck * fix(storage): close agent-session store review findings * docs(storage): align hook ordering and contention-probe claims with the code * ci: run on the agent-workbench integration branch * chore(storage): bump to 0.5.0 for the agent-session store * fix(storage): carry replay compaction across page boundaries * feat(agent): add the driver model contract and stage route dialect (#1165) * feat(agent): add the driver model contract and stage route dialect * fix(agent): validate route context windows and clarify dialect precedence * feat(agent): adapt the agent-session store and runtime foundations (#1167) * feat(agent): adapt the agent-session store and runtime foundations * feat(agent): resolve request owner identity via an anonymous cookie * docs(agent): document the opt-in compaction default and harden edge cases * feat(agent): add the background session runner (#1169) * feat(agent): add the background session runner * feat(agent): wire the runner into startup behind feature flags * fix(agent): stop clean interruptions from consuming the attempt budget * fix(storage): charge the attempt budget for abandoned leases but not clean parks * docs(storage): document the attempt-charging contract and decouple its tests * feat(agent): add agent session and owner event streams (#1170) * feat(agent): add agent session and owner event streams * fix(agent): close the session-existence oracle and document the owner seam * feat(agent): add agent session lifecycle routes (#1171) * feat(agent): add agent session lifecycle routes * fix(agent): validate session-create input and preserve the owner cookie on errors * refactor(storage): drop the unused active-stage API from the agent-session contract (#1174) * refactor(storage): drop the unused active-stage API from the agent-session contract Tools address stages explicitly on every call, so the store keeps no mutable session-level stage pointer. Removes resolveActiveStage and setActiveStage from the store interface, their PG implementations, the active_stage_changed lifecycle event, the session_active_stage owner event variant, and the contract tests pinning them. The active_stage_id column and the DDL check constraint stay untouched for schema compatibility. * chore(storage): bump @openmaic/storage to 0.7.0 for the contract removal * docs: document the agent runtime configuration surface (#1176) * fix(agent): repair orphaned and late tool results across interruption boundaries (#1180) * fix(agent): repair orphaned and late tool results across interruption boundaries A crash, shutdown, or provider failure can leave the durable transcript with tool calls that have no result, or with results ordered illegally for the provider. Three failure modes were fixed: - Orphaned tool calls: a run that died between an assistant tool-call frame and its result left a dangling call in the entry tree. Resume no longer synthesizes and persists receipts for it: interrupted results are a read-time provider view owned by a shared read-boundary repair, which returns the original array for a healthy transcript and never mutates the tree. - Late parallel results: a parallel tool can finish while pi unwinds an aborted assistant frame, leaving result(A), assistant(aborted), result(B) in durable order. Strict providers reject non-contiguous results, so the read-boundary repair moves existing results next to their owning assistant frame (in call order), omits incomplete unwind frames, and synthesizes receipts only for genuinely missing calls. - Interrupted calls at the write boundary: a call still in flight when the run winds down (shutdown, lease loss, cancellation, provider failure) had no receipt at all. The runner now tracks in-flight calls from their assistant frames and, before the terminal flush, appends an interrupted-result receipt for each still-orphaned call through the same attempt-fenced write chain, so a lease-stealing zombie never writes and the next claim sees a provider-safe transcript. * test(agent): pin the runner wiring for interruption-boundary tool repair * feat(agent): add neutral tool foundation libraries (#1184) * feat(agent): register a web_search tool on the session runner (#1185) * feat(storage): add a per-session URL trust gate (#1186) * feat(agent): add the skills system (#1189) * feat(agent): add the skills system (builtin directories and durable user skills) * fix(storage): serialize the user-skill quota check-and-insert per owner Two concurrent creates at the 50-skill boundary both counted 49 rows and both inserted (READ COMMITTED, no lock), overshooting the quota contract. The create transaction now takes a per-owner pg_advisory_xact_lock first, and the same-name idempotency check runs before the count check so an at-least-once retry of the create that committed as the owner's 50th row still returns its durable receipt instead of a quota error. The 23505 backstop is retained for writes that do not take the lock. * fix(agent): share unstorable-character validation and align skill lookup * feat(agent): add session materials and a fetch_url tool behind the URL trust gate (#1190) * feat(agent): add session materials and a fetch_url tool behind the URL trust gate * fix(agent): harden session material fetching * feat(storage): add an ownership scope to stage documents (#1191) * feat(agent): add material read and search tools (#1192) * feat(agent): add stage read and patch tools (#1194) * feat(agent): add page generation and deck editing tools (#1198) * test(storage): keep the PG contract suite order-independent (#1200) * fix(agent): revoke deleted-session URL authority and reject private ISATAP endpoints (#1199) * fix(storage): revoke deleted session URL authority * fix(ssrf): reject private ISATAP endpoints in strict fetches * chore(storage): bump to 0.11.1 for the session-URL authority fix * feat(agent): add roster and voice registration tools (#1201) * feat(agent): add folder organisation tools (#1202) * feat(api): add stage and material HTTP routes (#1203) * feat(workbench): add the client data layer (#1204) * feat(workbench): add the client data layer * docs(workbench): write the ported comments in English * chore(edit): remove the in-editor agent panel (#1210) * chore(edit): remove the in-editor agent panel * style: apply prettier formatting * fix(agent): report the runtime as unusable without a database (#1207) * fix(agent): report the runtime as unusable without a database * style: apply prettier formatting * feat(agent): add image, video and pptx import tools (#1211) * feat(workbench): add the agent chat surface (#1205) * feat(workbench): add the agent chat surface * docs(workbench): write the ported comments in English * fix(workbench): label the folder and rename tools on the timeline * fix(workbench): label the roster and voice tools on the timeline The reconciliation test iterates every tool the runner registers and requires a display label of its own. The roster and voice-clone tools (list_voices, set_roster, clip_audio, register_voice) reached the integration base with the roster/voice-registration tools but never gained presentation rows, so they fell through to the default branch and rendered their wire names. Port their rows from the reference implementation (labels and i18n keys verbatim) and extend the reconciliation allowlist with ROSTER_TOOL_NAMES and VOICE_CLONE_TOOL_NAMES, so a future tool cannot enter the product without a label. * feat(agent): add the material extraction lifecycle (#1212) * feat(storage): add material extraction lifecycle * feat(agent): execute queued material extraction * style: apply prettier formatting * style: satisfy prefer-const in the extraction runner * test: give material fixtures the extraction lifecycle fields The media-tools slice and the extraction lifecycle slice were each green in isolation but never compiled together: the lifecycle made derivedFrom and extraction required on AgentSessionMaterial while the media-tool fixtures predate them. * chore: remove stray task notes * fix(workbench): label the extraction lifecycle tools on the timeline * feat(workbench): add the workspace shell (#1206) * feat(workbench): add the workspace shell * docs(workbench): write the ported comments in English * i18n(workbench): align workspace keys across locales * fix(workbench): adopt the landed data layer and label the extraction tools - replace the sibling-slice seam stubs with the real data-layer modules - drop ambient declarations now shadowed by landed files - port timeline labels for the extraction lifecycle tools from the reference - align the new i18n keys across all locales * ci: retrigger * feat(api): folder routes, stage-meta viewer surfaces, and the material upload contract (#1215) * fix(storage): restore capability-based stage access * fix(api): bind document access to request owner * fix(agent): restore three-state stage access on the tool layer Port probeStageAccess and the three-state StageAccess (owned / foreign / missing / tombstoned) and gate every stageId-bearing stage tool on an owned probe, mirroring the reference per tool: - move_to_folder, rename_stage, read_stage_outline refuse a non-owned stage with the single not-yours message before touching the store. - The course/DSL toolset and the roster toolset are wrapped by withOwnerStageAuthorization: read_stage, patch_stage, grep_stage and every writer refuse a foreign stage with the same message and refusal shape. - Scene preview keeps its own probe and its own refusal text, and is registered beside the course toolset (never double-gated). - The runner injects one probe factory at the three call sites. Tests: the dsl cross-owner test premise (a foreign stage is readable by id) encoded an invented capability-read policy that the reference does not have at the tool layer; it now asserts foreign read/patch/grep are all refused while the owner still reads. Curriculum cross-owner assertions were already the reference's and now pass with the probes in place. * docs: correct per-file test counts in the fidelity report * test: fix type errors in stage-access fidelity test * test: adapt media-tool and gate suites to the owner-scoped store seam * feat(api): add owner-scoped course-folder HTTP routes Port the reference implementation's /api/folders family (list, create, rename, delete with ungroup/remove modes, and folder membership) onto the owner-bound document store, replacing its provider-based auth with the existing withRequestOwnerId / owner-scoped store seams. The storage package's folder store grows the pieces the routes need: DocumentFolder.order (schema column + max+1 assignment + ordering), renameFolder, deleteFolder(mode) with captured member ids, and setStageFolder(stageId, folderId | null) with idempotent un-filing. FolderNameError moves into folder-name-validation.ts (stage-storage re-exports it, keeping import sites intact). Every route gates on the configured agent runtime (plain 404 when off or unconfigured), keeps the reference's machine codes and envelopes, and is covered by gate tests plus a behavior suite. * feat(api): add stage-meta viewer surfaces for the classroom Port the reference implementation's viewer-facing stage state — can-edit / collected / published / generation-complete — on top of the stage-access base (stage_meta + tombstones). stage_meta gains published_at and generation_complete columns plus a stage_bookmarks table; the reference's deployment-specific origin/claimed_at columns are stripped. New gated routes: GET /api/stage-meta/[stageId] (per-viewer facts, 404 for absent/tombstoned, never returns the owner id), GET /api/stages/[id]/status, POST generation-complete / publish / unpublish (owner-only), POST /api/bookmarks. The resolver lives in lib/server/stage-access.ts. Wiring: a fetchStageMeta client with the reference's three-outcome contract, stage-store isOwner/isBookmarked/readOnly fields (upstream single-user defaults, no-op until the sidecar answers) plus setViewerAccess, the classroom apply path computing readOnly = !(isOwner || isBookmarked), the Stage editability gate, and a sidecar probe after each classroom load. A sidecar 'absent' answer keeps the editable default here because the classroom also serves local-only courses; server writes stay owner-enforced. * feat(api): port the reference material upload contract Rewrite POST /api/materials to the reference implementation's upload shape so the workbench uploader (uploadWorkbenchMaterial, which posts no session id and expects a flat 201 view) works unchanged: owner-scoped upload with mime normalization/validation (415), per-class size caps checked on the declared content-length and the streamed body (413), empty body (400), quota (429), sha256 reserve->store->finalize lifecycle with abandon on failure, flat { materialId, originalName, bytes, mime, extraction } 201, and an x-request-id echo. Adds the owner-scoped material library (owner_material table + quota + 24h lazy sweep, bytes in the host's asset registry as the neutral replacement for the reference's object-storage byte path) and the material cap configuration. The session-scoped GET list is left as-is; the reference's owner-material extraction worker is not ported (the branch's session-material extraction lifecycle already covers extraction). Gate tests now cover all 23 persistence routes across the three runtime env states; the materials behavior suite pins the new contract. * feat(media): add an optional local ffmpeg media extractor (#1213) Adds a local ffmpeg/ffprobe pipeline as a second media extraction provider behind the extractor registry, ported faithfully from the reference implementation: duration probing, keyframe-safe chunking, per-chunk ASR with timeout and deadline budgets, and timestamped transcript assembly. - Availability probing feeds the registry's candidate selection: the provider simply is not a candidate when ffmpeg/ffprobe are absent. - With neither ffmpeg nor a cloud provider configured, extraction fails with an actionable message naming both enablement paths. - Media materials route through the same extraction lifecycle and lease fence as documents; no parallel queue. - Tests inject the executable resolver so the missing-ffmpeg path is the default-tested one; the real pipeline test is skip-if-unavailable. - @openmaic/storage 0.13.0 -> 0.14.0 (media routing in the material lifecycle surface). * feat(storage): per-scene monotonic revisions via database triggers (#1214) * feat(storage): per-scene monotonic revisions via database triggers Restore the reference implementation's freshness granularity: a per-scene monotonic revision maintained by database triggers, so every writer (HTTP routes, agent tools, jobs, manual SQL) bumps it without application cooperation. - Companion revision tables + trigger functions in the storage package's idempotent schema bootstrap, with the lock-order invariant, pg_notify wakeup and the suppression switch for batch writers. - ensureDocumentSchema gained a dollar-quote-aware statement splitter. - The freshness and manifest routes serve per-scene revisions. - Mutation-verified: dropping the triggers turns the revision tests red. - @openmaic/storage 0.13.0 -> 0.14.0. * fix: forward the freshness manifest through the owner-bound store * feat(workbench): add the Pro entry points and preserve the mode-transition semantics (#1208) * feat(workbench): add the Pro entry points * feat(workbench): preserve Pro mode transition semantics * fix(workbench): drop ambient declarations shadowed by landed slices * fix(workbench): drop ambient declarations shadowed by the landed shell * feat: port workspace shell sibling modules Port the 16 leaf modules the Pro workspace shell imports but that were only ambient-declared, replacing the compile-time bridge with real implementations adapted from the sibling-slice reference: pure workbench helpers (session title, rail tab, course-chat bootstrap, created-course tabs, course-tabs memory, workspace navigation, pane navigation, pro-edit sizing, existing-course minting, first-message session), the neutral brand context and course-rename server API, the server-action session delete, the home discovery hook, the classroom pane host with its load-policy leaf, the theme toggle and floating-layer owner, plus the floating-layer-owner wiring the dialog/dropdown/tooltip portals stamp. Also add the workbench-shell locale copy for all 12 locales, port the reference tests for the ported modules, and drop types/workbench-sibling-slices.d.ts now that every declaration has a real implementation. * docs: keep ported comments in English and deployment-neutral * docs: announce 1.0.0 and refresh the feature overview (#1216) * docs: announce 1.0.0 and refresh the feature overview * docs: finalize 1.0.0 README after feature merge * fix(agent): control-plane routes answer 404, not 500, without a database The agent control-plane routes gated only on the runtime flag, so an enabled-but-unconfigured deployment (flag on, DATABASE_URL empty) answered 500 from a store that cannot connect. Gate them on the configured check instead, matching the stage/material routes: the whole surface is cleanly absent until both the flag and the database are present. The status probe keeps reporting both bits. * test: mock both runtime gate exports in the control-plane route suites * fix(agent): abort in-flight TTS on cancel and bound each provider request with a timeout (#1217) The generate_tts / scene-tts path checked the runner's AbortSignal between actions but never created the provider HTTP requests with it, so a session cancel left a hung synthesis fetch in flight until a restart repaired the tool result. Thread the signal end-to-end: TTSModelConfig carries an optional signal, generateTTS combines it with a per-request timeout (TTS_REQUEST_TIMEOUT_MS, default 30s, ported from the reference runtime's TTS bounds) via AbortSignal.any, and every provider fetch (openai, azure, glm, qwen incl. voice-clone + audio download, voxcpm, minimax, doubao, elevenlabs, lemonade) is created with that signal. A timeout now fails the tool call with TTSRequestTimeoutError (a clear retryable error) instead of wedging the session; a caller cancel propagates as the interruption so the runner settles the session as cancelled without a restart. Tests: hung-provider simulation rejects at the timeout with the retryable error; abort mid-flight aborts the captured request signal and surfaces the interrupted shape; removing the signal wiring makes the abort tests fail (red), restoring them turns green. * fix(workbench): PG-mode home listing via owner stages; keep the interrupted terminal course card (#1218) Finding 1: with server persistence on, listStages resolved to the generic GET /api/persistence/documents listing, which the capability model deliberately answers 403 FORBIDDEN_DOCUMENTS for (reads by id, listings owner-only). The home/workspace library now lists through the owner-scoped GET /api/stages surface (same anonymous-owner cookie the workbench uses) when server persistence is enabled; the server-side 403 is untouched. Finding 2: a run interrupted (session_interrupted) and repaired (session_resumed) that ends cancelled before agent_end stranded its pending classroom sightings, so the timeline's terminal card lost the course the answer produced. session_end (cancelled) now flushes the pending sightings into the same course card set agent_end paints, before the stopped caption. * chore(workbench): remove the bookmark concept and the saved-courses drawer (#1219) * chore(classroom): remove the bookmark ('collected') concept entirely The stage-meta viewer port introduced a bookmark surface (stage_bookmarks table, POST /api/bookmarks, the isBookmarked sidecar field, and a readOnly rule that let a saved course stay editable). The product has no such concept, so remove it as a closure: - delete the /api/bookmarks route and the stage_bookmarks table plus its query helpers from the persistence bootstrap - drop isBookmarked from GET /api/stage-meta/[stageId] - simplify the classroom read-only rule to readOnly = !isOwner across the sidecar client, ownership signal, classroom load, stage store and the classroom page - keep publish/unpublish, generation-complete, isOwner and isPublic exactly as they were - update the gate and stage-meta route suites and the README mentions The workspace rail's Bookmark glyphs and comments describe the upstream saved-courses (favorites) section, which is driven by isOwner and renders no collect affordance; they are kept as unrelated homonyms. * chore(workbench): remove the saved-courses drawer UI The first pass removed the bookmark data model but kept the rail's "Saved courses" drawer, judging it a separate surface driven by `isOwner === false`. The home/workspace listing is owner-scoped, so that flag can never occur: `allSaved` is permanently empty and the drawer (plus the collapsed-rail Bookmark mini-button) is a dead affordance. Remove it: the SavedDrawer component and its mount, the savedOpen / savedSection state, the allSaved / matchedSaved derivations, the 'saved' variant of the course-list renderers, the mini Bookmark glyph, the drawer-only CSS, and the drawer's i18n keys from all 12 locales. The courses tab is now exactly one folders tree. The authored/favorites split in workspace-tree.ts goes with it; the tree module no longer reads `isOwner`. The discovery course type keeps the field — the shell still reads it for read-only gating. Upstream has no collect concept; the drawer could only ever render empty here. The reference implementation HAS this drawer (its favorites come from its account system), so this removal is a deliberate upstream product decision, not a fidelity bug. * fix(workbench): restore the attach entry, add the rail settings entry, pin all three entry points (#1221) * fix(workbench): restore the composer attach entry by gating it on the live runtime The AttachButton's rollout probe read a `materialsEnabled` field that this branch's /api/agent/runtime never answers (the materials routes gate on the runtime itself, like the stages), so the gate could never pass and the attach button never rendered — the Pro launch and chat composers showed only the @-mention and enhance glyphs. Substitute the field with the runtime's `enabled` value, which IS the upload action's precondition: POST /api/materials answers 404 whenever it is false, so the render condition now equals the action precondition (no dead button). The button's label (`proMode.attach`) is a user-visible string that becomes visible again; port the reference implementation's own translations verbatim into the 11 locales that still carried the Chinese copy. * feat(workbench): add the settings entry to the rail's bottom-left cluster The reference's rail foot carries a cluster of utilities (its saved-courses drawer, the language switcher, the display toggle). This branch removed the drawer — it could only ever render empty here — and the product decision is to fill that freed spot with the settings entry. Add a settings trigger to the foot cluster (expanded rail, beside the language and display toggles, and on the collapsed strip) and mount the model/provider SettingsDialog in the rail, wired to the trigger. It is the same dialog the classic home opens from its header pill; the workspace had no settings entry of its own, so nothing is duplicated within a surface. * test(workbench): pin the restored upload, attach, and settings entry points Covers the three restored entry points: - the courses-tab upload control: rendered beside the course name filter, wired to the discovery hook's ZIP import trigger, disabled while an import runs, and gated by the same condition as its action (the courses tab); - the composer attach control: an actual render of AttachButton under both probe answers (visible when the runtime says the upload path is live, hidden otherwise), its mounts in the launch and chat composers, the branch's runtime-field substitution in the probe, and the reference's own `proMode.attach` copy in all 12 locales; - the settings entry: the trigger in the rail's foot cluster (expanded and collapsed), beside the language and display toggles, opening the SettingsDialog the rail mounts. * chore(config): the Pro workbench flag implies the MAIC Editor gate (#1223) A workbench build without the editor toggle has no way to edit a course: enabling NEXT_PUBLIC_PRO_WORKBENCH_ENABLED while forgetting NEXT_PUBLIC_MAIC_EDITOR_ENABLED produced exactly that split-brain bundle. The workbench IS Pro mode, so its flag now implies the editor gate; the standalone flag remains for deployments that want the classroom editor without the workbench. Documents both flags in .env.example. * fix(agent): wake SSE tails and the runner on durable deltas (streaming fidelity) (#1222) The Pro workbench chat did not stream: the session/owner SSE routes polled the durable event log on a 5s/30s clock with no wakeup, so message_update deltas (written at 150ms cadence) reached the browser in poll-sized blocks and the thinking strip only mounted after the whole reasoning text had accumulated. Port the reference's LISTEN/NOTIFY delta path: - storage: add in-transaction wake hooks (onSessionEventAppended, onOwnerEventAppended, onCancelRequested) so a host queues pg_notify in the same transaction as the durable append; align readEventsAfterForReplay to rank the bounded page so the first delta after the cursor is always kept (the live tail can never starve). Bump @openmaic/storage to 0.18.0. - app: port the process-wide event-notify bus (dedicated LISTEN client, self-check probe, reconnect backoff; notify through the storage transaction surface), wire the store hooks, subscribe both SSE routes before the initial read with the reference's initializing gate, and give the runner one {kind:'session'} subscription whose wake runs the cancel check and the message drain. Polls stay as the lossy-NOTIFY backstop. - lifecycle: start/stop the bus from instrumentation. Tests: storage hook + compaction contract; route wakeup latency; runner wakeup wiring with a fake agent; bus unit tests; PG contracts proving a real append wakes the routes and a live SSE route forwards a message_update on the wakeup, and that a rolled-back append never wakes. Also fix the pre-existing park-attempt-budget PG test TRUNCATE (missing CASCADE against newer FK tables). * fix(storage): asset writes self-deadlocked against pooled PostgreSQL (#1225) * fix(storage): refuse the non-transactional byte-write deadlock configuration A byte store whose plain write() runs on its own pooled connection cannot be invoked from inside a registry write transaction: after the transaction has claimed the blob-row lock, that write blocks on the lock the transaction just took while the transaction waits on the write - a self-deadlock PostgreSQL cannot detect (one side is idle in transaction). There is no lock-safe ordering for such a writer: bytes must be written after the row claim (writing before it lets the collector delete the bytes while the upsert waits), and any second-connection write after the claim is the deadlock. The configuration is therefore detected and refused: - AssetByteStore gains writesOutsideRegistryDatabase?: true, declaring that the layer's plain byte operations cannot contend for the registry's row locks. - PgAssetStore refuses put()/replace() up front (and defends coordinatedWrite) when the byte store has no writeWith and does not declare the flag, throwing a clear configuration error before any row is claimed. - The collector mirrors the guard on its delete path (deleteWith or a declared out-of-registry layer, else a configuration error). - The object store declares the flag (its out-of-transaction write remains legitimate); the in-registry PostgreSQL byte column provides writeWith / deleteWith instead. - Write transactions (put/replace/remove) set SET LOCAL lock_timeout = 30s so any future lock-contention variant fails loudly instead of hanging. Bumps @openmaic/storage to 0.18.0. * fix(persistence): forward the transactional byte methods through the lazy asset byte-store wrapper The no-bucket case of lazyAssetByteStore returned a bare { write, read, delete } and dropped writeWith/readWith even though the underlying PgAssetByteStore has them. The registry's hasTransactionalWriter duck check then failed and put() fell back to the byte store's own pooled connection, which blocks forever on the blob-row lock the registry transaction just took when the bytes live in the same PostgreSQL - the production self-deadlock. The no-bucket layer is statically PgAssetByteStore, so its transaction-pinned methods are forwarded eagerly (typed against the real signatures via PgForwardedByteStore). The bucket case keeps its lazy-probing semantics: no transactional writer exists there, the signed-URL method stays absent or lazy exactly as documented, and the wrapper now declares writesOutsideRegistryDatabase so the registry may run the plain write inside its transaction. New tests pin the wrapper's transactional capability red-to-green and assert put()/resolve() route byte traffic through the transaction-pinned queryable. * fix(home): cap the generate-prep ingest drain at 3s so Generate never waits the full server budget The classic home flow's Generate click drained in-flight ingests for the full 15s server budget. Cap the wait at GENERATE_DRAIN_CAP_MS (3000ms, documented as a UX bound) and reuse the existing timeout fallback: sources that miss the cap proceed on the legacy byte path and each late-resolving id is released. * chore(storage): bump to 0.19.0 over the concurrently landed 0.18.0 * fix(agent): bound every tool call with a timeout; never resurrect a cancelled session (#1226) * fix(agent): bound every tool call with a global timeout and settle it on cancel A tool await that neither resolves nor rejects wedges the session forever: the lease keeps heartbeating and the driver never reaches its next cancel checkpoint. Race every tool execution (in buildAgent) against a hard budget (OPENMAIC_AGENT_TOOL_TIMEOUT_MS, default 10 min, per-tool overrides for known long runners) and against the caller's AbortSignal, so even a signal-ignoring await cannot keep a cancelled session running. On timeout the call rejects with AgentToolTimeoutError; the agent loop turns the rejection into a structured error tool-result the agent can retry or proceed from, and the abort signal is delivered to the tool's in-flight work through a derived controller. Zombie-tool updates after settlement are dropped. * fix(storage): never re-lease a cancel-requested session; settle it as cancelled on claim The claim scan treated a session with cancel_requested_at set as a normal claim candidate: after a restart it re-leased the same session for attempt N+1 and resumed generating despite the pending cancel. claimNextSession now settles such candidates as cancelled under the claim lock (status cancelled, attempt reset, lease and cancel request cleared, terminal session_end event and owner projection) instead of leasing them, then keeps scanning. Bump @openmaic/storage to 0.18.0. * docs: takeaway-style 1.0.0 announcement with bilingual guide links The 1.0.0 head is now a short takeaway block — badge links to the official user guides (English and Chinese), five one-line highlights, and pointers into Features and the workbench setup section — instead of six dense paragraphs. The detailed provider-neutrality and freshness notes move into the Features workbench section, phrased database- neutrally (the announcement no longer names a specific database). Release date corrected to August 27. * fix(workbench): restore editor chrome, mode transition, streaming, materials, mentions, folders (#1229) * fix(workbench): wire workspace folder routes * fix(editor): restore reference workbench chrome * fix(workbench): persist composer materials and course refs * fix(workbench): preserve live reasoning frames * fix(persistence): back off failed streaming saves * chore(workbench): retire stale slice seams * test(editor): cover element pin layer * chore(storage): bump to 0.21.0 for the user-message ref/material fields * chore(editor): translate ported code comments to English * fix(agent): fence durable tool writes and consume cancel requests atomically (#1230) * fix(agent): enforce provider force-off in agent tools and scrub vendor identity from tool results (#1231) * fix(materials): serialize per-owner quota reservations and make crashed uploads reclaimable (#1232) * fix(editor): resolve dock-bar i18n keys, remove dock height drag, wire element referencing (#1233) * fix(workbench): send the opening session message exactly once with refs intact (#1234) * feat(editor): port timeline TTS preview single-flight and voice-all state latching (#1235) * fix(media): restore the reference classic media chain (#1236) * fix(import): adapt imported PPTX canvas size so decks render without overflow (#1237) * fix(editor): complete element referencing — renderer DOM contract and GenUI picking aligned with the reference (#1238) * test(providers): reconcile the provider-config vendor-token debt count after the main merge The integration line's AK/SK fallback for the managed document provider adds occurrences that main's allowlist snapshot predates. Same mixed-composition debt category the group already documents; no new vendor behavior. * test(providers): reconcile vendor-token debt counts with the integration line The main-merge brought main's neutrality-guard snapshot next to integration features it predates (media-extractor fallback chain, local voice-profile deletion semantics, the enabled-TTS helper). Same debt categories the guard already documents; counts updated to the guard's own tally and two grouped entries added. No new vendor behavior. * fix(agent): carry reasoning through the completions dialect so the thinking strip renders (#1239) * feat(skills): add Feynman and spiral curriculum methods (#1240) * feat(agent): port missing reference tools and skills (parity audit) (#1241) * feat(media): retire asset-registry wiring; media and materials follow the reference byte model (#1242) * fix(classroom): center adapted canvases in the stage and send back navigation home during generation (#1243) * feat(settings): skill management with real list, download, delete, and upload (#1244) * feat(settings): skill management section with real list, detail, and zip download * feat(skills): owner skill delete and upload across storage, API, and settings * fixup! feat(settings): skill management section with real list, detail, and zip download chore: neutralize a reference note in the settings header comment * fix(media): persist origin-independent classroom-media references from the agent runtime (#1245) * feat(editor): float the insert toolbar in the outer frame with collapse (#1246) The insert strip was bounded to the slide card, so it could only ever sit on top of slide content: the card's overflow clipped it and it could not be parked in the padding beside the slide. Move it into the studio frame the element picker's panel already roams (CanvasOverlayPortal + the frame selector), so both canvas overlays share one bounding container and their handles behave the same. While picking, the strip rises over the picker and goes inert, which is the z-order CANVAS_OVERLAY_Z already documents. Add a fold beside the grip: the chevron collapses the strip to that grip row and back, with the buttons unmounted rather than hidden. The fold is session-local state owned by EditShell, next to the drag offset, so a surface swap keeps it; nothing is persisted. Expanding a strip parked at the bottom edge re-clamps through the same bounds rule the keyboard move uses. Co-authored-by: Claude Fable 5 <noreply@anthropic.com> * fix(workbench): align the chat timeline's left edge with the composer (#1247) * fix(agent): fence session claims while an ask_user question is outstanding (#1248) * fix(agent): settle-time rescue tracks real delivery instead of a count offset (#1249) * fix(persistence): migrate owner_material to oss_key and drop legacy asset_id (#1250) * docs(readme): surface the 1.0.0 user guide badges at the top (#1253) * fix(workbench): show newly created folders in the sidebar without reload (#1254) * docs(readme): add the release version prefix and drop the opt-in framing * fix(workbench): single-source the chat gutter so timeline and composer share a left edge (#1255) The transcript and the composer each established their own column: their own `px-*` gutter and their own `mx-auto w-full max-w-*` centering wrapper. Equal padding values were never enough, because the two columns are centered inside different containing blocks — the transcript's is a scroll container, whose content box is narrower than the composer footer's by the scrollbar's width: transcript text left = pad + (pane - 2*pad - scrollbar - measure) / 2 composer box left = pad + (pane - 2*pad - measure) / 2 The padding cancels out of the difference and what remains is `-scrollbar/2` at every padding value, so the transcript sat half a scrollbar to the left of the composer and tuning the two paddings against each other could not move it. The column is now established once, by the nearest common ancestor of both (`chatColumn`), and the scroll viewport and the composer footer are siblings inside it that add no horizontal inset of their own. The cap carries the gutter on top of the 760px reading measure, so the text column keeps its width. The handed-over question row drops the padding that indented it past the agent's prose; framed rows keep their own inner padding, which is what a card's border sitting on the column edge means. Co-authored-by: Claude Fable 5 <noreply@anthropic.com> * fix(workbench): lock pane-embedded classroom to edit mode (#1256) The workspace right pane painted the full learning chrome — speed control, play button, learner avatars, mic bar — for a course the agent had just created, then flipped to edit once the first scene landed. resolveStageChromeMode treated playback as the DEFAULT branch for a hosted classroom, so every shortfall fell into it: a course whose tab opens at stage_link time has no scenes yet, so currentSceneId is null and isHostedSceneEditable is false. A folded pane parked the playback root behind the fold and cross-faded it out over the pane on unfold, and a failed editor chunk dropped into playback permanently. Lock it at the pane instead of defaulting per entry path: - WorkbenchPanelProvider — the single element that mounts a classroom into the workspace — publishes editPinned (visible && !playback). Every entry path passes through it, so none of them decides. - The hosted resolution can no longer degrade to playback. Start Learning (workbenchLearning, new input, split out from pane visibility) is the one door; everything else resolves between the neutral loading shell and edit. - Stage's chrome dispatch is exhaustive on chromeMode, so the playback root is no longer the else-branch of a condition about the current scene. No flicker: chromeMode is resolved during render, and preloadEditor now answers synchronously (isEditorPreloaded) so a remount with the chunk already registered paints edit on the first frame. A failed import is no longer cached forever, so the lock cannot strand the pane. Standalone classrooms keep their stored mode unchanged. --------- Co-authored-by: Claude Fable 5 <noreply@anthropic.com> |
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wyuc
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06f105ed4d |
feat(server): validate model routing config at startup (#1182)
* feat(server): validate model routing config at startup and deprecate bare model ids * fix(server): keep the bare-id deprecation warning out of request paths parseModelString is reachable with request-controlled strings, so warning there lets clients drive log volume and grow the dedupe set without bound; the warning now fires only from boot-time validation of config-derived sites, whose surface is finite. DEFAULT_MODEL missing-key wording no longer claims requests will fail (unrouted resolution honors client keys), and a keyless provider with a default base URL is not flagged as unconfigured. |
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Yizuki_AmeandCursor
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13d94a52a1 |
feat(ai): add Grok 4.6 to the model registry (#1113)
* feat(ai): add Grok 4.6 to the model registry The Grok picker still topped out at 4.5, so the new flagship ID was not selectable with its documented xhigh reasoning effort. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(docs): stop the docs Next app from loading app instrumentation Next 16 discovers the repo-root instrumentation.ts from packages/docs, then fails because that file imports app persistence modules. Give the standalone docs app a no-op register() so the Grok catalog docs can build. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com> |
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Xiao Chengmingandwyuc
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859d66ec95 |
fix(ai): add opt-in streaming chat compatibility (#990)
* fix(ai): add opt-in streaming chat compatibility * fix(ai): preserve streaming chat metadata * fix(ai): harden streaming chat compatibility * fix(ai): isolate primary streamed choice * fix(ai): propagate streamed chat errors --------- Co-authored-by: wyuc <wang-yc24@mails.tsinghua.edu.cn> |
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littlebullGitandwyuc
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3d85525665 |
[codex] Add Amazon Bedrock LLM provider support (#538)
* Enable AWS-hosted text models without exposing ambient credentials Rebase the Bedrock provider onto current main and close the review-requested security, credential lifecycle, usage attribution, configuration, and metadata gaps. Constraint: Bedrock may use ambient AWS credentials only when explicitly enabled by the server operator Rejected: Trust client-supplied provider types | permits built-in keyless IDs to reach Bedrock credentials Confidence: high Scope-risk: moderate Directive: Keep provider ID/type validation at both request resolution and model construction boundaries Tested: targeted Bedrock/resolver/config/usage tests; TypeScript; ESLint; i18n alignment; production build Not-tested: Full suite has 27 failures in unchanged quiz/runtime and runtime/chat-storage tests * Give Bedrock a recognizable provider identity Use the official AWS architecture service icon so Bedrock no longer falls back to the generic provider cube in settings and model selection. Constraint: Preserve the AWS-provided artwork without redesigning the service mark Confidence: high Scope-risk: narrow Tested: SVG XML validation; provider unit test; TypeScript; ESLint; production build --------- Co-authored-by: wyuc <wang-yc24@mails.tsinghua.edu.cn> |
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12ccd315ea |
Add Atlas Cloud LLM provider (#948)
* Add Atlas Cloud provider * Account for Atlas Cloud non-thinking model metadata * test: verify Atlas Cloud thinking payloads * style: format Atlas Cloud payload test * test: type Atlas Cloud fetch mock --------- Co-authored-by: binyangzhu000-sudo <224954946+binyangzhu000-sudo@users.noreply.github.com> Co-authored-by: wyuc <wang-yc24@mails.tsinghua.edu.cn> |
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louis brilliantandwyuc
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297e405d63 |
fix(ai): omit zero SiliconFlow thinking budget (#1035)
Co-authored-by: wyuc <wang-yc24@mails.tsinghua.edu.cn> |
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wyucandClaude Opus 5
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97f8585728 |
refactor(pbl-v2): route runtime agents through the shared LLM entry point (#1006)
* refactor(pbl-v2): route runtime agents through the shared LLM entry point The five PBL v2 runtime call sites (instructor x2, evaluator, simulator x2) invoked the AI SDK directly while the other 21 call sites in lib/ and app/ go through callLLM / streamLLM, so they silently opted out of everything the shared entry point applies: - Usage accounting. recordUsage is reached only from the wrappers, so no instructor turn, evaluator pass, simulator line or narrator pass was ever accounted for - the highest-frequency, longest-context LLM traffic in the product. The comment at llm.ts:275, that every server-side call funnels through the wrappers, did not hold. - The LLM_THINKING_DISABLED kill switch, read inside the wrappers only. - One thinking resolution path. runtime-thinking.ts existed precisely because the agents bypassed the wrapper, and it was wired into instructor (x2) and evaluator but neither simulator site. Also fix callLLM recording result.usage, which on a multi-step tool run (stopWhen) is the final step alone; totalUsage is the aggregate, and the instructor turn is exactly such a run. streamLLM already preferred the aggregate. Thinking semantics are preserved per call site: the teaching turns keep force-disabling thinking, now through the wrapper's own `thinking` argument, and keep their existing providerOptions spread, which injectProviderOptions yields to; the simulator keeps honouring a per-request config, as before. The one behavioural difference is on native adapters when no thinking config arrives: the policy now resolves to an explicit lowest/disabled provider option instead of leaving the model's default in place - which is what the policy always claimed to do, and what OpenAI-compatible providers already got. Unifying the wider divergence is a product decision and stays out of scope; runtime-thinking.ts now documents it, along with the fact that the original tool_choice justification no longer matches the tree. A lint guard restricts importing generateText / streamText to lib/ai/llm.ts so the split cannot grow back. It uses the @typescript-eslint variant of no-restricted-imports deliberately: flat config replaces a rule's options per key rather than merging them, and the base rule is already configured for the lib/choreography and lib/video-export module boundaries. The runtime-thinking test moves from asserting the retired helper to asserting what the call site is responsible for, at the provider boundary: an evaluator turn reaches the provider with a disabled config in the thinking store, does not leak it, and is accounted for under its own usage source. Closes #1003 Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> * fix(pbl-v2): address cross-review findings on the shared-entry migration Consensus findings from an independent cross-vendor review of |
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wyucandtejs1
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f78f8599b4 |
feat(providers): add latest Claude, Gemini, Kimi, and Grok models (#993)
* feat(providers): add latest model catalog entries Co-authored-by: tejs1 <tejsrelax@gmail.com> * fix(ai): preserve reasoning settings across provider paths * fix(providers): define Grok output limits * fix(kimi): preserve reasoning across tool calls * fix(kimi): scope reasoning replay to K3 * fix(kimi): gate pi reasoning replay by model --------- Co-authored-by: tejs1 <tejsrelax@gmail.com> |
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3b63710376 |
feat(ai): add Azure OpenAI provider (#916)
* feat(ai): add Azure OpenAI provider Add deployment-based Azure OpenAI configuration for both client and server-managed setups, normalize Azure portal endpoints, and expose the provider in settings. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: b0d3a94f-089a-470e-9987-608f1506ca6f * style: format Azure provider type Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: b0d3a94f-089a-470e-9987-608f1506ca6f --------- Co-authored-by: MarshellOnMoon <121332425+MarshellOnMoon@users.noreply.github.com> |
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wyucand杨慎
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c8a638a101 |
feat: support GPT-5.6 model family (#907)
* feat: support GPT-5.6 model family * test: cover GPT-5.6 SDK validation * fix: canonicalize GPT-5.6 Sol alias * fix: complete GPT-5.6 alias lookups --------- Co-authored-by: 杨慎 <117187635+cosarah@users.noreply.github.com> |
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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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3f851bbcce |
fix(ai): close PROVIDERS/THINKING_CAPABILITIES metadata drift with a guard (#809)
* fix: close PROVIDERS/THINKING_CAPABILITIES metadata drift with a guard * fix: use toggle-budget thinking capability for SiliconFlow DeepSeek-V3.2 --------- Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com> Co-authored-by: wyuc <wang-yc24@mails.tsinghua.edu.cn> |
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杨慎
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09863af421 |
Add PBL v2 core schema and generation path (#795)
* feat: add PBL v2 core planner * chore: restore unrelated lint comments * fix: document PBL v2 scenario outline flags * fix: expose PBL scenario subtype in outlines * chore: clear PBL v2 completion stats lint warning * chore: address PBL instructor code quality comments * fix: address PBL v2 review findings * chore: restore unrelated lint comments |
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wyuc
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42ca1407ef | feat(ai): add GLM-5.2 and Kimi K2.7 Code (#774) | ||
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wyuc
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1d1ce80e04 |
feat(maic-agent): editor-agent line (v0) — Pro-mode "Edit with AI" (#777)
Promote the editor-agent line to main: read-then-act editor agent (read_scene_content, regenerate_scene, regenerate_scene_actions, edit_interactive_html), a routable maic-agent model stage, the agent sidebar UI, interactive-scene runtime-error capture, and the timeline/script editor. Cross-reviewed and smoke-verified; see #777. |
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wyucandClaude Opus 4.8
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6dd9390192 |
feat(ai): add Qwen3.7 Plus and Qwen3.7 Max to the model registry (#753)
Adds the Qwen3.7 series to the built-in qwen provider, mirroring the existing Qwen3.6 model-card shape: - qwen3.7-plus: 1M context, 64K output, vision, tools, toggleable thinking + budget (default on) - qwen3.7-max: 1M context, 64K output, text-only, tools, toggleable thinking + budget (default on) Both run over the already-configured DashScope OpenAI-compatible endpoint; no transport changes. Thinking is wired through the existing qwen request adapter (qwenBudgetEnabled, 0-81920 budget). Output ceiling and thinking-budget max reuse the Qwen3.6 conventions, since the public docs don't spell these out per-model. Closes #752 Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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wyucand杨慎
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adf3ba9b7f |
feat: add Claude Opus 4.8 and MiniMax M3 (#635)
Co-authored-by: 杨慎 <117187635+cosarah@users.noreply.github.com> |
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wyucandClaude Opus 4.7
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65227803c8 |
feat: add Gemini 3.5 Flash (#584)
* feat(ai): add Gemini 3.5 Flash to Google provider Closes #583 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(ai): default Gemini 3.5 Flash thinkingLevel to medium Google's official default is `medium` (not `high`). See https://ai.google.dev/gemini-api/docs/thinking. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com> |
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Helck
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679130a6b9 | feat(ai): add Xiaomi MiMo Token Plan support (#578) | ||
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杨慎
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b29efe1f1d |
fix: remove weak Lemonade recommended models (#567)
* fix(lemonade): remove weak recommended models * test(lemonade): align removed model references |
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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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wyucand杨慎
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10b1fc83cf |
Fix Haiku 4.5 thinking controls (#501)
Co-authored-by: 杨慎 <117187635+cosarah@users.noreply.github.com> |
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wyucand杨慎
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e613b7578f |
[codex] add per-model thinking config (#494)
* add per-model thinking config * Refine thinking model controls --------- Co-authored-by: 杨慎 <117187635+cosarah@users.noreply.github.com> |
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wyuc
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4754bbae6d | support gpt-5.5 api (#487) | ||
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wyuc
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a95aa87bf1 | support recent model providers (#481) | ||
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2f542cf33f |
feat(providers): add international base URL chips for GLM/Kimi/MiniMax (#449)
* feat(providers): add international base URL chips for GLM/Kimi/MiniMax
- Add optional alternateBaseUrls field to ProviderConfig
- Populate GLM, Kimi, MiniMax with China/International endpoints
- Settings UI renders chips below base URL input; clicking fills and auto-saves
- i18n: settings.baseUrlRegion.{china,international} in all 5 locales
- README / README-zh: list GLM and add quick-examples block
Closes #448
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: use glm-5.1 as the GLM default model example
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: 杨慎 <117187635+cosarah@users.noreply.github.com>
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wyucandClaude Opus 4.6
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91b3a70a45 |
feat(config): add GLM-5.1 and GLM-5V-Turbo to GLM preset models (#437)
Closes #436 Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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SleepyHenry
|
eba704e064 |
feat(config): add latest OpenAI models to default config (#416)
Added GPT-5.4, GPT-5.4 Mini, and GPT-5.4 Nano models to OpenAI provider in deafult providers config. |
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杨慎andClaude Opus 4.6
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00152890c6 |
chore: update Ollama logo to official version (#400)
* chore: update Ollama logo to official version Closes #399 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: improve OpenAI and Ollama logo visibility across themes OpenAI logo (white fill) was invisible on light backgrounds, and Ollama logo (black fill) was invisible on dark backgrounds. Normalize OpenAI SVG to black fill and apply dark:invert via a central MONO_LOGO_PROVIDERS set. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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2c26e3a461 |
feat: Ollama local LLM support (#94)
* feat: Ollama local LLM support - Ollama as a built-in provider (OpenAI-compatible, no API key needed) - 8 default models: llama3.3, llama3.2, qwen2.5, qwen2.5:32b, mistral, gemma3, deepseek-r1, phi4 - Keyless provider activation: providers with only a baseUrl (no API key) now activate correctly - isProviderKeyRequired() helper for consistent key validation across routes - i18n strings for Ollama (zh-CN + en-US) and missing Doubao strings - SSRF guard documentation clarifying server-configured URLs bypass safely Previously, clients could send `x-requires-api-key: false` (header) or `requiresApiKey: false` (body) to skip API key validation for ANY provider, including ones like OpenAI that require keys. This meant a client could consume server-configured credentials without authorization. Fix: the server now derives requiresApiKey exclusively from its own provider registry. The client header and body field are removed from all server-side parsing. For Ollama, the registry says `requiresApiKey: false` so it works keyless. For OpenAI, the registry says `true` so the check is enforced regardless of what a client sends. * fix: address reviewer feedback on Ollama integration - Fix env-var activation so OLLAMA_BASE_URL alone activates the provider - Move SSRF bypass comment from ssrf-guard.ts to resolve-model.ts - Add ollama and doubao provider names to i18n locale files Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Fixed issues from reviewer notes. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: format provider-config.ts with Prettier Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: 杨慎 <117187635+cosarah@users.noreply.github.com> |
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Orinameh
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83fa2c232d |
chore: Remove the Deprecated Gemini 3 Pro Preview Model (#142)
* chore: Remove GPT-4o, GPT-4o-mini, GPT-4-turbo, and Gemini 3 Pro Preview model definitions. * chore: remove deprecated gemini-3-pro-preview model --------- |
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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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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> |