Custom tools can now require a verified contact before they run. This gives tools a trustworthy signal about who the customer is without relying on DMARC or the JWT login.
ai_tools gets a requires_verification column, defaulting to true (fail-closed). A flagged tool is blocked in httpTool.Execute until the conversation is verified, and every tool call now carries an X-Libredesk-Contact-Verified header so tool authors can tell an OTP-verified contact from a self-claimed one.
The AI agent gets three native tools: send_email_verification emails a 6-digit code out of band, check_email_verification confirms it, and set_contact_email lets an anonymous visitor add an email to send the code to. Codes and the verified window live in Redis, scoped per conversation, with attempt and resend caps. JWT livechat contacts stay trusted without OTP; email contacts and visitors verify by code.
The tool admin form gets a "require verified contact" toggle (default on) with a confirm dialog when turning it off.
isThinking was a single global ref, so switching conversations while a copilot
send was still in flight showed the thinking indicator in the wrong conversation
and blocked sending there until the other request settled. Key it by uuid like
the revision and message state already are.
Copilot and Generate Reply get four read-only, access-filtered tools to look up
a customer's history: list the contact's other conversations, search
conversations by exact email, fetch one conversation by reference number, and
search contacts. Tool output is marked untrusted and capped so a big response
can't blow the context window.
Copilot panel changes:
- per-agent persona picker that borrows an enabled assistant's voice, language
and instructions without changing the tool set (stored in localStorage)
- answers render as HTML; copy, insert-into-reply, and add-as-private-note
actions per answer
- chat history moves to its own copilot store; server history is persisted only
after a successful reply and read back with a limit
Adds AI tag suggestions: a new endpoint suggests up to 3 existing tags for a
conversation, applied from the sidebar, never auto-applied.
Hardening and fixes:
- OIDC callback rejects non-agent users
- custom tool URLs and params schema validated on save; tool HTTP client no
longer follows redirects; query keys pinned in the tool URL win
- GetAllConversationMessages takes an explicit limit (cap 1000)
- FAQ mining skips a candidate already pending review
- ai agent handoff records its event only after the move actually lands
- share chat message role constants; rename v2.7.0 migration to v2.6.0 and add
the fix_grammar_spelling prompt
Some OpenAI-compatible endpoints reject max_tokens and want
max_completion_tokens. Before, every request paid a 400 round trip to
learn this. Now we cache the swap per base URL and model, so once one
request adapts, later requests send the right param up front. Only adapt
when the error code is unsupported_parameter, not on any max_tokens error.
Parse the usage block from provider responses into a TokenUsage struct and
log prompt/completion/total tokens. Added debug logging of model content,
tool results, and RAG chunk text to make agent runs easier to trace.
Widget side: clean up chat bubble spacing by moving margins off the text
and onto trailing elements, and drop the bottom margin on the last
paragraph/list in rendered HTML so bubbles don't have extra padding.
The frontend used to blank out the masked secret before saving. Now it sends the value as-is and the backend keeps the stored secret when it sees the dummy mask. This matches how webhooks and other secrets already work.
Guard avatar edits while a save is in flight. The AvatarUpload now takes
a disabled prop that blocks the file picker and the remove button, and
the profile view ignores crop/remove events while saving. This stops a
second crop or a remove from racing an ongoing update.
Only clear the pending file after the delete request succeeds, so a
failed remove keeps the cropped preview and the Save button usable.
Do not mark failed report refreshes as fresh. The fetch helpers now
report success, and lastUpdate only advances when every section loads.
A fully failed refresh no longer labels stale data as just updated.
Add an aria-label to the custom range days input so assistive tech can
name it.
Reports overview now has a single range picker (7/30/90 days plus a
custom input) that drives every card at once, instead of a separate
date dropdown per card. Auto-refresh polls every 5 minutes, pauses
when the tab is hidden, and stops after an hour until you refresh.
Card titles are muted, numbers use tabular figures, and SLA colors use
theme tokens instead of raw green/red. The old DateFilter component is
gone.
Move avatar cropping into the shared AvatarUpload component and reuse
it on the profile page. Save is disabled until a new image is picked.
Conversation list emphasizes unread rows with bolder text and tighter
spacing. Empty state, MenuCard, and chart legend get small style
fixes. Consolidate several one-off i18n strings into shared keys.
Tool auth used to be a single header/value pair. It is now a list of
headers, each value encrypted at rest and masked in the API. Editing a
tool keeps an untouched (masked) value's existing secret, matched by
header name. Covered with unit tests.
Agent tuning: a full agent run is now capped (90s for livechat since the
customer is watching, 3min for email), the per-provider-call timeout
drops 90s to 60s with 2 retries, and default worker_count goes 2 to 10
for burst headroom. Idle workers are free; the run cap is what protects
the pool.
Also adds help text and placeholders across the AI admin pages.
Correctness fixes from the internal/ai code review:
- gate reindex commits on the snippet row still existing, so a delete
racing reconcile can't re-insert its embeddings forever
- cap one logical provider request at 90s across all retries, so a
hanging provider can't stall the reply box for minutes
- return proper error envelopes from the copilot message store instead
of raw sqlx errors that surfaced as "Error interface conversion failed"
- reject blank AI replies in the generate-reply and copilot handlers
- build GET tool URLs with url.Parse so a # in the URL doesn't swallow
the query params
- let a blank api_key clear the stored key (masked keeps it), restoring
a way to disable AI
Cleanups and hardening:
- share one SSRF transport between tool and provider clients instead of
building a new transport per AI call
- copy the provider config struct instead of listing every field
- backfill temperature 0.7 for configured providers upgrading from
releases that hardcoded it
- only pass user/assistant roles from copilot history to the provider
- reject enc:-prefixed secrets that would be stored raw and fail decrypt
- rune-safe truncation of test errors, one-line doc comments
handleAiPromptSelected now captures the conversation uuid and bails if it changed while the completion was in flight, and uses convertTextToHtml with a null guard, matching handleGenerateReply. This stops a generated prompt from landing in the wrong conversation's draft or crashing on an empty response.
Add ssrf.NewTransport that clones http.DefaultTransport (keeping proxy and connection-pool defaults) and applies the dial guard, then use it for the OIDC, AI, OpenAI, and webhook clients. The bare transports were dropping HTTP_PROXY handling and pool defaults.
The reply-box AI prompts used a legacy inline dialog to set the OpenAI key, hitting a separate PUT /api/v1/ai/provider endpoint. That is now fully covered by the admin provider settings page, so drop the dialog, the endpoint, the UpdateProvider method, the set-completion-key query, and the orphaned i18n keys. With no provider configured an agent now gets the 'ask your administrator' toast instead.
Also make the inline AI prompts (Make Friendly, etc.) toggle the existing isGenerating state so the editor shows the same generating animation as Generate Reply, with a guard against overlapping runs.
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.
Snippet import: new "Import from URL" flow fetches a page and stores its
readable content as a snippet. Extraction uses the mackee/go-readability
library (Mozilla Readability port) and outputs Markdown, so nav/footer
boilerplate is dropped. The snippet list shows the source, and the edit
dialog is now wider with a taller content box.
Summarize: new "Summarize with AI" action on a conversation calls the AI and
adds the result as a private note. It shows an info toast right away so the
user knows it started, since the call can take a few seconds. This adds an
"info" toast variant that any feature can use.
Assistant languages: assistants can be given a list of allowed reply
languages. The assistant replies in the customer's language when it is one of
them, otherwise it falls back to the first. The preview also lists the
knowledge sources it used.
Cleanup: replace hardcoded gray/zinc/white colors with theme tokens
(text-muted-foreground, text-foreground, bg-accent) across several components.
Thread context through provider calls so cancelled requests stop retrying, make snippet delete and FAQ review transitions atomic, cap provider response reads, guard stale AI replies and copilot responses from overwriting newer conversation state, and stop logging raw search queries and chunk content.
Reasoning models like gpt-5 reject max_tokens and non-default temperature.
The client now reads the structured 400, renames max_tokens to
max_completion_tokens or drops the bad tuning param, and retries. This
removes the old rule that only sent max_completion_tokens when reasoning
effort was set.
Provider form gets a "Test connection" button that makes one live call
with the form values and shows the provider's real error. Embedding test
also checks the returned vector length against the Dimensions field.
Add an Anthropic preset (their OpenAI-compatible endpoint) and stop
pre-filling temperature since blank is safe on every model.
Fix the shared Button loader so the spinner is visible on non-filled
variants, and polish the copilot panel: bot avatars on messages, dot
loader while thinking, cleaner input box, and tab slide-in animation.
The model marks its trailing confirmation question with a [[confirm]] line.
We split that off and send it as its own chat bubble so the widget reads like
a real conversation. The customer never sees the marker. Email is left as one
combined message since separate bubbles only suit the widget.
Confirmation messages are tagged with is_confirmation in meta so they no
longer inflate the reply count in assistant stats.
Keep the widget typing indicator alive during long agent runs by
re-broadcasting every 3s, under the widget's 5s typing expiry.
Fix the AI assistant and tool edit forms to stay on the page after save.
They now only go back to the list when creating, matching the rest of the
admin forms.
Custom tools are HTTP calls with no read-only guarantee, so a mutating tool
could fire from copilot chat or while drafting a reply. Copilot and
generate-reply now get only the built-in knowledge search, and custom tools
stay exclusive to assistants where admins pick them explicitly. This matches
Intercom, Chatwoot, and Freshdesk. The contact identity headers now flow only
on the assistant path.
Also:
- new "Offer handoff to a human" switch on assistants (default on). When off,
the hand_off_to_human tool is not registered and the prompt tells the
assistant to say it cannot help instead of offering a human. Safety exits
(error, max turns, other participant) still unassign as before.
- workspace admin instructions from the AI config no longer leak into the
customer-facing assistant prompt.
- copilot and reply-draft prompts now treat conversation text and tool
outputs as untrusted data.
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
Pass the conversation subject to the AI agent, show the AI's own expectation in the chat widget while it handles a chat, and label AI messages in continuity emails.
Show an animated border on the reply box while a reply is generating, and hide generate-reply for private notes. Link an AI assistant message author to the assistants settings page for admins who can manage AI.
Reply drafts are now written in first person as the agent and never offer to escalate, since a human is already handling the conversation. Add quick preset buttons to the copilot panel and reuse a shared transcript helper.
Add a reasoning effort field to the completion provider config, sent as-is to the model. Reasoning models such as GPT-5.x need it set to "none" to use tools. Also switch to max_completion_tokens.
Limit custom tools to GET and POST and validate the method on save. GET args now go on the query string and POST args in the body. Also stop sending the raw stored secret when its decryption fails, which would leak ciphertext and fail auth confusingly.
Medium (title + short body):
add WIP autonomous AI agent
New internal/aiagent package runs AI assistants that reply to customers
on conversations assigned to them, grounded on a knowledge base. Also mines
resolved conversations for FAQ suggestions. Adds admin UI and the v2.7.0
schema. Still work in progress.
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.
Draft attachments now keep url and disposition, so a restored draft can render its attachments correctly instead of losing them.
The prechat phone field now picks a country code from the browser locale when the field is required (falling back to US), so users are not forced to pick one manually. Non-required phone fields still start blank.
Also soften the widget iframe and launcher bubble box shadows to a lighter, tinted look.
Abhinav Raut