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/api/src/routes/agent/agent.ts

@@ -69,6 +69,7 @@ import {
   collectDocumentIds,
   getActiveCourseTemplateId,
   getLatestImplementationPlan,
+  loadDocumentsMeta,
   loadDocumentsText,
   verifyExerciseBelongsToCourse,
   verifyLessonBelongsToCourse
@@ -410,6 +411,7 @@ const agentCoreRouter = new Hono()
         .select({
           title: schema.course.title,
           description: schema.course.description,
+          metadata: schema.course.metadata,
           organizationId: schema.group.organizationId
         })
         .from(schema.course)
@@ -449,7 +451,10 @@ const agentCoreRouter = new Hono()
       }
 
       const documentIds = collectDocumentIds(messages, context?.documentId);
-      const documentText = documentIds.length > 0 ? await loadDocumentsText(documentIds, user.id) : undefined;
+      const [documentText, documentAssets] = await Promise.all([
+        documentIds.length > 0 ? loadDocumentsText(documentIds, user.id) : Promise.resolve(undefined),
+        documentIds.length > 0 ? loadDocumentsMeta(documentIds) : Promise.resolve([])
+      ]);
 
       const existingSections = await listCourseSections(courseId);
 
@@ -496,7 +501,9 @@ const agentCoreRouter = new Hono()
         exerciseTitle,
         documentId: context?.documentId,
         documentText,
-        existingSectionCount: existingSections.length
+        documentAssets,
+        existingSectionCount: existingSections.length,
+        isContentGroupingEnabled: courseRow.metadata?.isContentGroupingEnabled ?? true
       };
 
       trackAgentEvent(AgentEvent.CHAT_STARTED, {
@@ -531,7 +538,9 @@ const agentCoreRouter = new Hono()
       const agentTools =
         role === AgentRole.STUDENT
           ? buildStudentAgentTools(orgId, user.id, courseId, studentPolicy!.settings)
-          : filterToolsForChatMode(buildAgentTools(orgId, user.id, courseId, messages, { isOrgOnPaidPlan: isOrgPaid }));
+          : filterToolsForChatMode(
+              buildAgentTools(orgId, user.id, courseId, messages, { isOrgOnPaidPlan: isOrgPaid, documentAssets })
+            );
 
       const contextManaged = await buildModelContextMessages({
         conversationId,

apps/api/src/services/agent/run-state.ts

@@ -331,6 +331,10 @@ export async function resumeAgentRunState(runId: string, userId: string, orgId:
 export async function retryAgentRunState(runId: string, userId: string, orgId: string): Promise<AgentRunDetail> {
   const run = await getOwnedAgentRun(runId, userId, orgId);
 
+  if (ACTIVE_RUN_STATUSES.has(run.status)) {
+    return buildAgentRunDetail(run);
+  }
+
   if (run.status !== 'failed') {
     throw new AppError('Only failed agent runs can be retried', 'AGENT_RUN_NOT_RETRYABLE', 409);
   }