Fix a reindex race: snippet embedding runs outside the lock, so a slower
job from an older edit could commit stale vectors after a newer edit.
Split Reindex into embed (lock-free) and commit (locked), and gate the
commit with a per-snippet generation counter so only the latest edit
wins. Delete drops the counter so an in-flight job can't re-insert
vectors for a deleted snippet.
Clear the DB avatar reference before deleting the avatar media file. The
old order deleted the file first, so a failed DB update left the DB
pointing at a missing file and a broken image.
Also handle unchecked errors flagged by errcheck (tx.Rollback,
html.Render, fmt.Fprintf), guard capToTokens against a negative limit
that would panic, and stop logging the full import URL since it can
carry credentials.
Replies from the AI agent are now converted from markdown to HTML with
goldmark before queueing, so bold, links, and lists render properly in the
widget, agent app, and email. The prompt now allows simple markdown. Raw
HTML in model output is escaped by goldmark, and both frontends sanitize
on render anyway.
Other fixes bundled in:
- validate avatar type and size before creating or updating an assistant,
and roll back the assistant if the avatar upload fails after create
- return 404 from agent update and API key endpoints for AI assistant
identity users, and hide assistants from mention and SLA user pickers
- reserve the autonomous assistant's built-in tool names so custom tools
cannot shadow them
- apply resolve after the reply is posted so the CSAT survey follows the
answer instead of preceding it
- unassign the assistant on handoff even when the fallback team is the
same team
- count reopens by status category instead of status name, and exclude
CSAT messages from the turn cap
- split oversized wrapper divs into child blocks when chunking KB HTML
instead of truncating them
- return 404 when soft-deleting an already-deleted agent, and keep AI
assistants (which have no email) visible in the compact users list
Adds two agent-facing AI features: a copilot chat panel in the conversation
sidebar and a generate-reply button in the reply box. Both run an agentic
tool-calling loop whose first tool searches the knowledge base.
Snippets are chunked and embedded on save, then searched in memory with
brute-force cosine similarity (no pgvector). Providers are split into completion
and embedding types. Both are OpenAI-compatible and the API key is encrypted at
rest. Admins can also register custom HTTP tools the model can call.
A new admin AI settings page covers provider config, snippets, and tools. The
v2.6.0 migration and schema add the ai_knowledge_base, embeddings, and ai_tools
tables plus the ai_providers type column.
Abhinav Raut