We were limiting to 20 results unconditionally cause we had to make
sure search always fit in an 8k context window.
Models such as GPT 3.5 Turbo (16k) and GPT 4 Turbo / Claude 2.1 (over 150k)
allow us to return a lot more results.
This means we have a much richer understanding cause context is far
larger.
This also allows a persona to tweak this number, in some cases admin
may want to be conservative and save on tokens by limiting results
This also tweaks the `limit` param which GPT-4 liked to set to tell
model only to use it when it needs to (and describes default behavior)
Keep in mind:
- GPT-4 is only going to be fully released next year - so this hardcodes preview model for now
- Fixes streaming bugs which became a big problem with GPT-4 turbo
- Adds Azure endpoing for turbo as well
Co-authored-by: Martin Brennan <martin@discourse.org>
Personas now support providing options for commands.
This PR introduces a single option "base_query" for the SearchCommand. When supplied all searches the persona will perform will also include the pre-supplied filter.
This can allow personas to search a subset of the forum (such as documentation)
This system is extensible we can add options to any command trivially.
c.f. de983796e1b66aa2ab039a4fb6e32cec8a65a098
There will soon be additional login_required checks
for Guardian, and the intent of many checks by automated
systems is better fulfilled by using BasicUser, which
simulates a logged in TL0 forum user, rather than an
anon user.
* FEATURE: User sentiment on profile summary page
This introduces a new user stat in a user profile summary page.
It will show either neutral/positive/negative according to the dominant
sentiment in the user last interactions.
The user-stat widget is only rendered for staff.
Co-authored-by: Keegan George <kgeorge13@gmail.com>
Previous to this change we relied on explicit loading for a files in Discourse AI.
This had a few downsides:
- Busywork whenever you add a file (an extra require relative)
- We were not keeping to conventions internally ... some places were OpenAI others are OpenAi
- Autoloader did not work which lead to lots of full application broken reloads when developing.
This moves all of DiscourseAI into a Zeitwerk compatible structure.
It also leaves some minimal amount of manual loading (automation - which is loading into an existing namespace that may or may not be there)
To avoid needing /lib/discourse_ai/... we mount a namespace thus we are able to keep /lib pointed at ::DiscourseAi
Various files were renamed to get around zeitwerk rules and minimize usage of custom inflections
Though we can get custom inflections to work it is not worth it, will require a Discourse core patch which means we create a hard dependency.
We must ensure we can isolate titles, and the models sometimes ignore the example we give them.
Additionally, anons can generate HyDE posts, so we need to check if user is nil when attempting to log requests.
* FEATURE: Azure OpenAI support for DALL*E 3
Previous to this there was no way to add an inference endpoint for
DALL*E on Azure cause it requires custom URLs
Also:
- On save, when editing a persona it would revert priority and enabled
- More forgiving parsing in command framework for array function calls
- By default generate HD images - they tend to be a bit better
- Improve DALL*E prompt which was getting very annoying and always echoing what it is about to do
- Add a bit of a sleep between retries on image generation
- Fix error handling in image_command
* FIX: no selected persona should pick first prioritized one
Previously we were looking at `.personaId` but there is only an
id attribute so it failed
* FEATURE: new DALL-E-3 persona
This persona generates images using DALL-E-3 API and is enabled
by default
Keep in mind that we are still waiting on seeds/gen_id so we can
not retain style consistently between turns.
This will change as soon as a new Open AI API provides the missing
parameters
Co-authored-by: Martin Brennan <martin@discourse.org>
Previous to this changeset we used a custom system for tools/command
support for Anthropic.
We defined commands by using !command as a signal to execute it
Following Anthropic Claude 2.1, there is an official supported syntax (beta)
for tools execution.
eg:
```
+ <function_calls>
+ <invoke>
+ <tool_name>image</tool_name>
+ <parameters>
+ <prompts>
+ [
+ "an oil painting",
+ "a cute fluffy orange",
+ "3 apple's",
+ "a cat"
+ ]
+ </prompts>
+ </parameters>
+ </invoke>
+ </function_calls>
```
This implements the spec per Anthropic, it should be stable enough
to also work on other LLMs.
Keep in mind that OpenAI is not impacted here at all, as it has its
own custom system for function calls.
Additionally:
- Fixes the title system prompt so it works with latest Anthropic
- Uses new spec for "system" messages by Anthropic
- Tweak forum helper persona to guide Anthropic a tiny be better
Overall results are pretty awesome and Anthropic Claude performs
really well now on Discourse
* Revert "FIX: We don't need to prepend anthropic. to bedrock models (#308)"
This reverts commit 8a01751991178f7636030eb99e7f75c035707ffd.
* FIX: Bedrock uses slightly different model names
* DEV: One LLM abstraction to rule them all
* REFACTOR: HyDE search uses new LLM abstraction
* REFACTOR: Summarization uses the LLM abstraction
* Updated documentation and made small fixes. Remove Bedrock claude-2 restriction
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
---------
Co-authored-by: Joffrey JAFFEUX <j.jaffeux@gmail.com>
Co-authored-by: Martin Brennan <martin@discourse.org>
- New AiPersona model which can store custom personas
- Persona are restricted via group security
- They can contain custom system messages
- They can support a list of commands optionally
To avoid expensive DB calls in the serializer a Multisite friendly Hash was introduced (which can be expired on transaction commit)
This PR aims to clarify sentiment reports by replacing averages with a count of posts that have one of their values above a threshold (60), meaning we have some level of confidence they are, in fact, positive or negative.
Same thing happen with post emotions, with the difference that a post can have multiple values above it (30). Additionally, we dropped the "Neutral" axis.
We also reworded the tooltip next to each report title, and added an early return to signal we have no data available instead of displaying an empty chart.
This PR adds new reports for displaying information about post sentiments grouped by date and emotions group by TL.
Depends on discourse/discourse#24274
Function calling will start hallucinating if you reshape results.
Previously we were morphing from:
`{ prompts: ["prompt 1", "prompt 2"] }`
to
`{ prompts: { prompt: "prompt 1", seed: 222}, { ... `
This meant that over a few call sequences function_call starts hallucinating an incorrect shape.
This change grounds us even on GPT-3.5
This allows for 2 big features:
1. Artist can ship up to 4 prompts for image generation
2. Artist can regenerate images cause it is aware of seed
This allows for iteration on images maintaining visual style
To ease the administrative burden of enabling the embeddings model, this change introduces automatic backfill when the setting is enabled. It also moves the topic visit embedding creation to a lower priority queue in sidekiq and adds an option to skip embedding computation and persistence when we match on the digest.
Previous to this change image generation did not work on multisite
There was a background thread generating the images and it was
getting site settings from the default site in the cluster
This also removes referer header which is not needed
Adds an AI Helper function when selecting text while viewing a topic.
---------
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``
