People tend to keep to 1 persona when working with the bot,
this adds local browser memory for the last persona you interacted
with so you do not need to select it over and over again.
This is per browser, not per user memory.
Also... clean up tests so they do not need to require stubs which
were breaking the build
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Co-authored-by: Martin Brennan <martin@discourse.org>
Introduces a UI to manage customizable personas (admin only feature)
Part of the change was some extensive internal refactoring:
- AIBot now has a persona set in the constructor, once set it never changes
- Command now takes in bot as a constructor param, so it has the correct persona and is not generating AIBot objects on the fly
- Added a .prettierignore file, due to the way ALE is configured in nvim it is a pre-req for prettier to work
- Adds a bunch of validations on the AIPersona model, system personas (artist/creative etc...) are all seeded. We now ensure
- name uniqueness, and only allow certain properties to be touched for system personas.
- (JS note) the client side design takes advantage of nested routes, the parent route for personas gets all the personas via this.store.findAll("ai-persona") then child routes simply reach into this model to find a particular persona.
- (JS note) data is sideloaded into the ai-persona model the meta property supplied from the controller, resultSetMeta
- This removes ai_bot_enabled_personas and ai_bot_enabled_chat_commands, both should be controlled from the UI on a per persona basis
- Fixes a long standing bug in token accounting ... we were doing to_json.length instead of to_json.to_s.length
- Amended it so {commands} are always inserted at the end unconditionally, no need to add it to the template of the system message as it just confuses things
- Adds a concept of required_commands to stock personas, these are commands that must be configured for this stock persona to show up.
- Refactored tests so we stop requiring inference_stubs, it was very confusing to need it, added to plugin.rb for now which at least is clearer
- Migrates the persona selector to gjs
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Co-authored-by: Joffrey JAFFEUX <j.jaffeux@gmail.com>
Co-authored-by: Martin Brennan <martin@discourse.org>
This PR adds new reports for displaying information about post sentiments grouped by date and emotions group by TL.
Depends on discourse/discourse#24274
Adds an AI Helper function when selecting text while viewing a topic.
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Co-authored-by: Keegan George <kgeorge13@gmail.com>
Co-authored-by: Roman Rizzi <roman@discourse.org>
Also fixes it so users without bot in header can send it messages.
Previous to this change we would seed all bots with database seeds.
This lead to lots of confusion for people who do not enable ai bot.
Instead:
1. We do not seed any bots **until** user enables the ai_bot_enabled setting
2. If it is disabled we will
a. If no messages were created by bot - delete it
b. Otherwise we will deactivate account
This PR addresses the effort to use one icon representing discourse-ai.
Removed discourse-sparkles from discourse-ai, now included in core ``vendor/assets/svg-icons/discourse-additional.svg``
I thought this wasn't neccessary and we could safely rely on the appEvent during the initial search.
It only fires if #searchEnabled is true, meaning the search term is valid.
* FEATURE: HyDE-powered semantic search.
It relies on the new outlet added on discourse/discourse#23390 to display semantic search results in an unobtrusive way.
We'll use a HyDE-backed approach for semantic search, which consists on generating an hypothetical document from a given keywords, which gets transformed into a vector and used in a asymmetric similarity topic search.
This PR also reorganizes the internals to have less moving parts, maintaining one hierarchy of DAOish classes for vector-related operations like transformations and querying.
Completions and vectors created by HyDE will remain cached on Redis for now, but we could later use Postgres instead.
* Missing translation and rate limiting
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Co-authored-by: Roman Rizzi <rizziromanalejandro@gmail.com>
Previous to this change we relied on client side settings to
determine if an end user has access to the ai bot.
This meant that if a user was not aware they are a member of a
group (as it is with restricted visibility ones) they would not
see the bot button.
All checking has now moved to the server side, and tests were
added to cover.
This splits out a bunch of code that used to live inside bots
into a dedicated concept called a Persona.
This allows us to start playing with multiple personas for the bot
Ships with:
artist - for making images
sql helper - for helping with data explorer
general - for everything and anything
Also includes a few fixes that make the generic LLM function implementation more robust
Besides updating the connector using the new tracking preference service interface, this PR fixes a bug where due to `ai_embeddings_semantic_related_topics_enabled` not having `client: true` the initializer never ran, and we didn't show the related topics list when scrolling to the bottom of a long topic.
Azure requires a single HTTP endpoint per type of completion.
The settings: `ai_openai_gpt35_16k_url` and `ai_openai_gpt4_32k_url` can be
used now to configure the extra endpoints
This amends token limit which was off a bit due to function calls and fixes
a minor JS issue where we were not testing for a property
* FEATURE: optional warning attached to all AI bot conversations
This commit introduces `ai_bot_enable_chat_warning` which can be used
to warn people prior to starting a chat with the bot.
In particular this is useful if moderators are regularly reading chat
transcripts as it sets expectations early.
By default this is disabled.
Also:
- Stops making ajax call prior to opening composer
- Hides PM title when starting a bot PM
Co-authored-by: Rafael dos Santos Silva <xfalcox@gmail.com>
A missing parameter on the `parseInt` function was causing unexpected UI behavior for the AI helper since it turned an allowed group ID into NaN. We should always use base10 when parsing these IDs.
* FIX: Show related topics when scrolling long topics
* Update assets/javascripts/initializers/related-topics.js
Co-authored-by: Roman Rizzi <roman@discourse.org>
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Co-authored-by: Roman Rizzi <roman@discourse.org>
* DEV: Remove the summarization feature
Instead, we'll register summarization implementations for OpenAI, Anthropic, and Discourse AI using the API defined in discourse/discourse#21813.
Core and chat will implement features on top of these implementations instead of this plugin extending them.
* Register instances that contain the model, requiring less site settings
blog.start_gpt_chat -> was on my blog
This also slightly tunes the search prompt to support filtering by oldest
and try a tiny bit harder to guide GPT 3.5 which is a bit of a losing battle
Co-authored-by: Krzysztof Kotlarek <kotlarek.krzysztof@gmail.com>
- Remove unused 'toggleAiBotPanel' widget action
- Switch from appEvents to closure actions
- Convert widget definition to native class syntax, so that we can use `@action` decorator. (alternatively, we could have done `{ closePanel: this.hideAiBotPanel.bind(this) }` in `RenderGlimmer`
Previously we were not using using HeaderPanel for drop down, which caused
it not to properly act like a header panel.
- Not styled right
- Not hidden when other buttons clicked
Etc...
Header is sadly full of legacy so this is somewhat hacky weaving widgets.
* FEATURE: Less friction for starting a conversation with an AI bot.
This PR adds a new header icon as a shortcut to start a conversation with one of our AI Bots. After clicking and selecting one from the dropdown menu, we'll open the composer with some fields already filled (recipients and title).
If you leave the title as is, we'll queue a job after five minutes to update it using a bot suggestion.
* Update assets/javascripts/initializers/ai-bot-replies.js
Co-authored-by: Rafael dos Santos Silva <xfalcox@gmail.com>
* Update assets/javascripts/initializers/ai-bot-replies.js
Co-authored-by: Rafael dos Santos Silva <xfalcox@gmail.com>
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Co-authored-by: Rafael dos Santos Silva <xfalcox@gmail.com>
We'll create one bot user for each available model. When listed in the `ai_bot_enabled_chat_bots` setting, they will reply.
This PR lets us use Claude-v1 in stream mode.
This module lets you chat with our GPT bot inside a PM. The bot only replies to members of the groups listed on the ai_bot_allowed_groups setting and only if you invite it to participate in the PM.
1. Add missing `pluginId` to `modifyClass` calls
2. Replace deprecated `site-settings:main` lookups with `service:site-settings`
3. Use "kebab-case" for initializer names
As a result of this change the channel is now accessible through `this.args.channel` and not `this.chatChannel`.
Longer term we want a better solution here, but this should fix the issue for now.
* FEATURE: Topic summarization
Summarize topics using the TopicView's "summary" filter. The UI is similar to what we do for chat, but we don't allow the user to select a timeframe.
Co-authored-by: Rafael dos Santos Silva <xfalcox@gmail.com>
Depends on discourse/discourse#20915
Hooks to the full-page-search component using an experimental API and performs an assymetric similarity search using our embeddings database.
Allows related topics to show up for logged on users
- Introduces a new "Related Topics" block above suggested when related topics exist
- Renames `ai_embeddings_semantic_suggested_topics_anons_enabled` -> `ai_embeddings_semantic_suggested_topics_enabled` (given it is only deployed on 1 site not bothering with a migration)
- Adds an integration test to ensure data arrives correctly on the client
* FEATURE: Composer AI helper
This change introduces a new composer button for the group members listed in the `ai_helper_allowed_groups` site setting.
Users can use chatGPT to review, improve, or translate their posts to English.
* Add a safeguard for PMs and don't rely on parentView
This change adds two new reviewable types: ReviewableAIPost and ReviewableAIChatMessage. They have the same actions as their existing counterparts: ReviewableFlaggedPost and ReviewableChatMessage.
We'll display the model used and their accuracy when showing these flags in the review queue and adjust the latter after staff performs an action, tracking a global accuracy per existing model in a separate table.
* FEATURE: Dedicated reviewables for AI flags
* Store and adjust model accuracy
* Display accuracy in reviewable templates