In hybrid mode ai artifacts can optionally automatically run.
This is useful for cases where you may want to embed a survey and so on.
Additionally, artifacts now allow for better fidelity around display:
<div class="ai-artifact" data-ai-artifact-id="501" data-ai-artifact-height="300px" data-ai-artifact-autorun data-ai-artifact-seamless></div>
User can supply height and seamless mode to be seamlessly rendered with no box shadow and show full screen button.
* FIX: improve transition logic in forms
previously back button would take you back to the /new route
* FIX: enum selection not working for persona tools
* seed information correctly in the DB
* fix broken spec
* Update assets/javascripts/discourse/components/ai-tool-editor-form.gjs
Co-authored-by: Alan Guo Xiang Tan <gxtan1990@gmail.com>
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Co-authored-by: Alan Guo Xiang Tan <gxtan1990@gmail.com>
## 🔍 Overview
When the title suggestions return no suggestions, there is no indication in the UI. In the tag suggester we show a toast when there aren't any suggestions but the request was a success. In this update we make a similar UI indication with a toast for both category and title suggestions. Additionally, for all suggestions we add a "Try again" button to the toast so that suggestions can be generated again if the results yield nothing the first time.
Introduces a persistent, user-scoped key-value storage system for
AI Artifacts, enabling them to be stateful and interactive. This
transforms artifacts from static content into mini-applications that can
save user input, preferences, and other data.
The core components of this feature are:
1. **Model and API**:
- A new `AiArtifactKeyValue` model and corresponding database table to
store data associated with a user and an artifact.
- A new `ArtifactKeyValuesController` provides a RESTful API for
CRUD operations (`index`, `set`, `destroy`) on the key-value data.
- Permissions are enforced: users can only modify their own data but
can view public data from other users.
2. **Secure JavaScript Bridge**:
- A `postMessage` communication bridge is established between the
sandboxed artifact `iframe` and the parent Discourse window.
- A JavaScript API is exposed to the artifact as `window.discourseArtifact`
with async methods: `get(key)`, `set(key, value, options)`,
`delete(key)`, and `index(filter)`.
- The parent window handles these requests, makes authenticated calls to the
new controller, and returns the results to the iframe. This ensures
security by keeping untrusted JS isolated.
3. **AI Tool Integration**:
- The `create_artifact` tool is updated with a `requires_storage`
boolean parameter.
- If an artifact requires storage, its metadata is flagged, and the
system prompt for the code-generating AI is augmented with detailed
documentation for the new storage API.
4. **Configuration**:
- Adds hidden site settings `ai_artifact_kv_value_max_length` and
`ai_artifact_max_keys_per_user_per_artifact` for throttling.
This also includes a minor fix to use `jsonb_set` when updating
artifact metadata, ensuring other metadata fields are preserved.
Additional changes:
Adds a "#features" method in AiPersona to find which features are using that persona.
Serializes a basic version of a LlmModel in the persona's "#default_llm" serializer attribute.
* FEATURE: Display features that rely on multiple personas.
This change makes the previously hidden feature page visible while displaying features, like the AI helper, which relies on multiple personas.
* Fix system specs
This commit changes the RAG uploader form elements to
be @format="full" instead of doing a hardcoded 500px width,
which was causing a horizontal scrollbar in the tools form
on mobile.
Also, it moves the 80% max width for the tools form into the
new viewport CSS API, and only applies it on desktop, because
this was also causing width issues on mobile.
* FEATURE: add inferred concepts system
This commit adds a new inferred concepts system that:
- Creates a model for storing concept labels that can be applied to topics
- Provides AI personas for finding new concepts and matching existing ones
- Adds jobs for generating concepts from popular topics
- Includes a scheduled job that automatically processes engaging topics
* FEATURE: Extend inferred concepts to include posts
* Adds support for concepts to be inferred from and applied to posts
* Replaces daily task with one that handles both topics and posts
* Adds database migration for posts_inferred_concepts join table
* Updates PersonaContext to include inferred concepts
Co-authored-by: Roman Rizzi <rizziromanalejandro@gmail.com>
Co-authored-by: Keegan George <kgeorge13@gmail.com>
This is showing as the most expensive CSS selector in Discourse at the moment. Adding specific classes and dropping the general `span` selector will make this much cheaper.
This update includes a variety of small refinements to the AI composer helper:
- prevent height jump when going from loading text placeholder → proofreading text streaming
- update padding on AI helper options list to be more suitable with typical Discourse menu design
- for composer helper results that are not `showResultAsDiff` (i.e. translation):
- update before/after diff design to be more subtle
- results should be in normal font (as the text is cooked and not raw markdown)
- fix: smooth streaming animation stuck showing dot icon even after smooth streaming is done
* FEATURE: simplify streaming implementation - rush last update
Previous to this change we would simply "flash" the final update
on the screen, this amends it so we quickly update the UI in about
1 second in the end with all the final update.
This makes the UI feel more interactive to end users.
* DEV: Updates...
- Remove unnecessary comments
- Add doc style comments for all methods
- Organize methods (private at bottom)
- Update some variable names
---------
Co-authored-by: Keegan George <kgeorge13@gmail.com>
Related: https://github.com/discourse/discourse-translator/pull/310
This commit includes all the jobs and event hooks to localize posts, topics, and categories.
A few notes:
- `feature_name: "translation"` because the site setting is `ai-translation` and module is `Translation`
- we will switch to proper ai-feature in the near future, and can consider using the persona_user as `localization.localizer_user_id`
- keeping things flat within the module for now as we will be moving to ai-feature soon and have to rearrange
- Settings renamed/introduced are:
- ai_translation_backfill_rate (0)
- ai_translation_backfill_limit_to_public_content (true)
- ai_translation_backfill_max_age_days (5)
- ai_translation_verbose_logs (false)
## 🔍 Overview
When you have a post with audio being played and you open and close the AI post helper menu, it re-renders the entire post DOM, causing the audio to be interrupted and stop playing.
The reason for this is because we highlight the selected text when opening the AI post helper menu and we replace the entire post back with the original post HTML when closing the menu. This fix ensures that we do not re-render the entire post DOM and instead only remove the highlighted section that was added.
## 🔗 Context
https://meta.discourse.org/t/ai-helper-interrupting-uploaded-mp3-audio-stream/366817?u=keegan
* FIX: apply diffs more consistently
1. Do escaping direct in diff streamer, that way HTML tags and other unsafe chars can be displayed and fixed
2. Add safeguard to ensure streaming always stops when it was terminated elsewhere
* lint
* bug unsubscribe should unsubscribe
We were getting an error in this logic causing Ember to fail to render the non-bot-topic that we navigate to.
I believe this is because the getter of participants is re-calculating (due to this.header.topicInfo being updated) before the args to this connector changes. Adding some safe navigation here fixes the issue.
* FIX: Improve MessageBus efficiency and correctly stop streaming
This commit enhances the message bus implementation for AI helper streaming by:
- Adding client_id targeting for message bus publications to ensure only the requesting client receives streaming updates
- Limiting MessageBus backlog size (2) and age (60 seconds) to prevent Redis bloat
- Replacing clearTimeout with Ember's cancel method for proper runloop management, we were leaking a stop
- Adding tests for client-specific message delivery
These changes improve memory usage and make streaming more reliable by ensuring messages are properly directed to the requesting client.
* composer suggestion needed a fix as well.
* backlog size of 2 is risky here cause same channel name is reused between clients
**This update includes a variety of small fixes to the AI composer helper:**
- ensures there is no flash of no text when diff modal is triggered
- escapes selected text prior to diff streaming
- uses monospace font in diff modal since text rendered is raw markdown
* FIX: ensures stream update object is scoped to its initial topic
Before this commit you could end up in this situation where a `post-updater` is constructed for a specific topic, but the user changes topic mid steam and it ends up updating the same post number but in a different topic as we were only checking for `post_number` and not the combination of `topic_id` + `post_number`.
* we should have the topic
Previous to this fix we would diff the entire body of text, this
could lead to situations where a diff presented to a user was
wildly off matching areas in the text that should not have been
tested.
New algorithm only checks a portion of the string, this ensures
that during streaming there is no chance for wild mistakes
Also allow artifact access to current username
Usage inside artifact is:
1. await window.discourseArtifactReady;
2. access data via window.discourseArtifactData;
This update adds a safety checker which scans the streamed updates. It ensures that incomplete segments of text are not sent yet over message bus as this will cause breakage with the diff streamer. It also updates the diff streamer to handle a thinking state for when we are waiting for message bus updates.
This commit introduces a new Forum Researcher persona specialized in deep forum content analysis along with comprehensive improvements to our AI infrastructure.
Key additions:
New Forum Researcher persona with advanced filtering and analysis capabilities
Robust filtering system supporting tags, categories, dates, users, and keywords
LLM formatter to efficiently process and chunk research results
Infrastructure improvements:
Implemented CancelManager class to centrally manage AI completion cancellations
Replaced callback-based cancellation with a more robust pattern
Added systematic cancellation monitoring with callbacks
Other improvements:
Added configurable default_enabled flag to control which personas are enabled by default
Updated translation strings for the new researcher functionality
Added comprehensive specs for the new components
Renames Researcher -> Web Researcher
This change makes our AI platform more stable while adding powerful research capabilities that can analyze forum trends and surface relevant content.
Examples simulate previous interactions with an LLM and come
right after the system prompt. This helps grounding the model and
producing better responses.
This update improves the animation for streaming a diff of changes when AI helper proofread is triggered. It shows the original text with diff changes live instead of after the fact.
