* feat: make upload file size limits configurable via .env
Add UPLOAD_MAX_*_MB environment variables for documents, images, videos,
exercise assignment files, AI assistant documents, landing page images,
and media thumbnails. API presign routes validate file size server-side;
dashboard UI reads the same limits from layout data.
* chore: wire upload limit env vars through Docker compose and docs
Pass UPLOAD_MAX_*_MB from the root .env into api and dashboard containers
in both compose files, document them in .env.example and self-hosting guides.
Co-authored-by: Rotimi Best <rotimi-best@users.noreply.github.com>
* docs: cross-link upload limits in README, Railway, Coolify, and Cloudflare guides
Co-authored-by: Rotimi Best <rotimi-best@users.noreply.github.com>
* fix: address PR review feedback on upload limits
- Restore 5 MB default for thumbnail uploads (edit-asset-dialog regression)
- Add getResolvedUploadLimits() fallback for Storybook/tests
- Cache core getUploadLimits() like the dashboard helper
- Document presign fileSize as advisory; allow zero-byte fileSize in schema
- Only send fileSize to presign when greater than zero
* docs: remove upload limits from Cloudflare setup guide
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- Add .odt (application/vnd.oasis.opendocument.text) as a supported upload
format; extract text via JSZip + content.xml parsing
- Add attach_document_to_lesson agent tool so the AI can attach an uploaded
document to a lesson as a downloadable material
- Instruct the agent to create a "Course Materials" lesson (first lesson of
the first section) and attach the uploaded document to it on implementation
- Suppress hallucinated references: uploaded documents do not count as fetched
URLs — omit the References section when no fetch_documentation_url calls
were made
- Surface specific upload error snackbars (file_too_large, unsupported_file_type)
instead of silently logging; fix generic fallback message
- Allow typing in the chat textarea while a document is uploading; only block
Enter/send, not the whole input
- Fix retry endpoint to return the current run instead of erroring when the run
is already active (queued/running/waiting_for_input/paused)
- Connect @cio/core Redis singleton in the jobs bootstrap so course-generation
workers no longer fail with "The client is closed"
- Expose documentAssets (assetId + fileName) alongside documentText in
AgentContext and pass it through both the chat route and course runner
New features:
- HLS video encoding/streaming (hls routes, hls-encoder) and a media
transcripts pipeline (transcripts route + media-transcript queries)
- AI assistant chat vs. run model: agent-course-generation worker/queue,
run-monitor pane, chat-changes card, content ask-ai bar
- Per-theme course-page previews across org landing-page themes (bold,
classic, corporate, editorial, etc.) with a shared course token/component set
- View-as-student mode and login-link / link-invite invite flows
Refactor:
- Extract packages/core consolidating config (env, storage, dashboard-url),
services and utils previously duplicated under apps/api/src/config
- Remove legacy agent service modules (chat-tools, chat-context,
context-window, document, fetch-url, lesson-content)
- Relax Cross-Origin-Resource-Policy to allow cross-origin media embedding
- Add format script to tenant-router so turbo run format covers it
Rotimi Best