Previously we had a logic error and were showing admins keys
that are not theirs when querying for all keys
This makes the API cleaner, to get all results you need to be explicit always
OpenAI ship a new API for completions called "Responses API"
Certain models (o3-pro) require this API.
Additionally certain features are only made available to the new API.
This allow enabling it per LLM.
see: https://platform.openai.com/docs/api-reference/responses
We will fine tune updating an outdated localization in the future. For now we are seeing that quick edits are happening and we need to prevent the job from being too trigger-happy.
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
## 🔍 Overview
This update re-introduces the validator used on the `ai_spam_detection_enabled` setting. It was initially added here: https://github.com/discourse/discourse-ai/pull/1374 to prevent Spam from being enabled without creating an `AiModerationSetting` value in the database. However, due to issues with backups/migrations we temporarily removed it here: https://github.com/discourse/discourse-ai/pull/1393. Now with some internal fixes, we can re-introduce it. We also update the validator so that it only validates when trying to turn on rather than when turning off too.
The AiApiAuditLog per translation event doesn't trace back easily to a post or topic.
This commit adds support to that, and also switches the translators to named arguments rather than positional arguments.
Previously I had omitted to add `locale` to the category, as categories tended to be just a single word, and I did not find it would be worth to carry locale information.
Due to certain LLMs that do poorer at translation, category descriptions got pretty messy. We added locale support here - https://github.com/discourse/discourse/pull/32962.
This PR adds the automatic locale detection, and skips translating to the category's locale.
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.
Adds context length controls to researcher (max tokens per post and batch)
Allow picking LLM for researcher
Fix bug where unicode usernames were not working
Fix documentation of OR logic
- add sleep function for tool polling with rate limits
- Support base64 encoding for HTTP requests and uploads
- Enhance forum researcher with cost warnings and comprehensive planning
- Add cancellation support for research operations
- Include feature_name parameter for bot analytics
- richer research support (OR queries)
* 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.
## 🔍 Overview
When exporting an Overall Sentiment report in the admin panel, the export fails with:
```ruby
Job exception: no implicit conversion of Symbol into Integer
```
This was happening because we are passing a single _Hash_ to `report.data` however, exports expect `report.data` to be an _Array of Hashes_. This update fixes this issue by wrapping the data in an array.
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: support upload.getUrl in custom tools
Some tools need to share images with an API. A common pattern
is for APIs to expect a URL.
This allows converting upload://123123 to a proper CDN friendly
URL from within a custom tool
* no support for secure uploads, so be explicit about it.
* 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)
Since we enable/disable `ai_spam_detection_enabled` setting in a custom Spam tab UI in AI, we want to ensure we retain the setting and logging features. To preserve that, we want to update the controller to use `SiteSetting.set_and_log` instead of setting the value directly.
## 🔍 Overview
We want to unhide `ai_spam_detection_enabled` setting so that we can retain staff action log features. However, we also want to ensure users cannot enable spam detection without having `AiModerationSetting.spam` present in the database.
In this update we unhide the setting, but also add a validator to ensure the necessary configuration is in place before allowing the setting to be enabled.
## 🔍 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
* Small fix, reasoning is now available on Claude 4 models
* fix invalid filters should raise, topic filter not working
* fix spec so we are consistent
