Embedding:
- Persist embedding_max_tokens. It was dropped when saving the provider config
and always reset to the 8192 default, so self-hosted models with a smaller
limit kept getting rejected.
- Split embedding requests to stay under the provider's item and token caps. A
large snippet or URL import used to go in one request, hit the cap, fail, and
get retried every minute forever.
- Skip blank chunks. An empty input string makes the API reject the whole batch.
- Add the tiktoken tokenizer (cl100k_base) with tests for token counting.
Agent prompt:
- Move contact fields, the conversation subject, and custom attributes out of
the system prompt and into a delimited user-role block, so a crafted name or
subject can't act as an instruction.
Frontend:
- Switch the primary and sidebar colors to a green theme.
- Show a "summarizing" info toast while the AI summary runs, and add an info
toast variant.
- Make the snippet content box taller and the snippet dialog wider.
- Drop a hardcoded dark hover color on the scroll-to-bottom button.
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.
Swap k3a/html2text for jaytaylor/html2text in stringutil.HTML2Text.
k3a returns empty on HTML with orphan tags (e.g. stray </a>), which
made text_content blank for some emails.
- Continuity email layout fixes and improvments.
- Replace haikunator with email local part for visitor names, fallback to "Visitor"
- Add optional website_url config field for "go to chat" link in continuity email footer
- Remove unused / unncessary i18n keys.
- fix duplicate initialization guard
- notification bell for agents
- Refactor and clean up dead code
- Fixes to pre chat form
- Add new column country to users table
- Update ratelimit pkg to be generic
- Update all SQL queries to add missing columns
- Update the create conversation API to allow setting the initiator of a conversation. For example, we might want to use this API to create a conversation on behalf of a customer, with the first message coming from the customer instead of the agent. This param allows this.
- Minor refactors and clean up
- Tidy go.mod
- Rename structs to reflect purpose
- Create focus structs for scanning JSON payloads for clarity.
- new vue app for serving live chat widget, created subdirectories inside frontend dir `main` and `widget`
- vite changes for both main app and widget app.
- new backend live chat channel
- apis for live chat widget
Abhinav Raut