feat(ai-assistant): odt support, document-to-lesson attach, upload UX fixes

- 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

apps/jobs/src/bootstrap.ts

@@ -3,6 +3,7 @@ import 'dotenv/config';
 import { env } from './config/env';
 import { warnIfFfmpegMissing } from './utils/ffmpeg';
 import { log } from './utils/logger';
+import { connectRedis } from '@cio/core/utils/redis/redis';
 
 void warnIfFfmpegMissing();
 
@@ -10,6 +11,8 @@ if (!env.REDIS_URL) {
   throw new Error('REDIS_URL is required to start a worker process.');
 }
 
+void connectRedis();
+
 log.info('worker-bootstrap', {
   nodeEnv: env.NODE_ENV,
   pid: process.pid,