7 Commits

Author SHA1 Message Date
Sam
5b5edb22c6
FEATURE: UI to update ai personas on admin page (#290)
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>
2023-11-21 16:56:43 +11:00
Sam
1500308437
FEATURE: defer creation of bot users (#258)
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
2023-10-23 17:00:58 +11:00
Sam
d75e3ca82b
FEATURE: include tag and category context in search (#217)
Previous to this we just included title/body.. tags and category
structure can be very critical for decision making.
2023-09-12 16:09:28 +10:00
Sam
b0310f90d3
FEATURE: add tags and categories to read context (#215)
Note, we perform permission checks on tag list against anon
to ensure we do not disclose information about private tags
to the llm which could get extracted.
2023-09-12 11:06:55 +10:00
Sam
20c1f2d788
FEATURE: basic progress for image generation (#133)
previously you would have to wait quite a while to see the prompt this implements
a very basic implementation of progress so you can see the API is working.

Also: 

- Fix google progress.
- Handle the incredibly rare, zero results from google.
- Simplify command so it is less error prone
- replace invoke and attache results with a invoke
- ensure invoke can only ever be run once
- pass in all the information a command needs in constructor
- use new pattern throughout
- test invocation in isolation
2023-08-14 16:30:12 +10:00
Sam
7eedbf29e0
FIX: refine image and read command (#131)
- Attempt to hint reading is done by sending complete:true
- Do not include post_number in result unless it was sent in
- Rush visual feedback when a command is run (ensure we always revise)
- Include hyperlink in read command description
- Stop round tripping to GPT after image generation (speeds up images by a lot)
- Add a test for image command
2023-08-09 16:01:48 +10:00
Sam
958dfc360e
FEATURE: experimental read command for bot (#129)
This command is useful for reading a topics content. It allows us to perform
critical analysis or suggest answers.

Given 8k token limit in GPT-4 I hardcoded reading to 1500 tokens, but we can
follow up and allow larger windows on models that support more tokens.

On local testing even in this limited form this can be very useful.
2023-08-09 07:19:56 +10:00