discourse-ai/app/controllers/discourse_ai/admin/ai_personas_controller.rb
Sam 61e4c56e1a
FEATURE: Add vision support to AI personas (Claude 3) (#546)
This commit adds the ability to enable vision for AI personas, allowing them to understand images that are posted in the conversation.

For personas with vision enabled, any images the user has posted will be resized to be within the configured max_pixels limit, base64 encoded and included in the prompt sent to the AI provider.

The persona editor allows enabling/disabling vision and has a dropdown to select the max supported image size (low, medium, high). Vision is disabled by default.

This initial vision support has been tested and implemented with Anthropic's claude-3 models which accept images in a special format as part of the prompt.

Other integrations will need to be updated to support images.

Several specs were added to test the new functionality at the persona, prompt building and API layers.

 - Gemini is omitted, pending API support for Gemini 1.5. Current Gemini bot is not performing well, adding images is unlikely to make it perform any better.

 - Open AI is omitted, vision support on GPT-4 it limited in that the API has no tool support when images are enabled so we would need to full back to a different prompting technique, something that would add lots of complexity


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Co-authored-by: Martin Brennan <martin@discourse.org>
2024-03-27 14:30:11 +11:00

111 lines
2.8 KiB
Ruby

# frozen_string_literal: true
module DiscourseAi
module Admin
class AiPersonasController < ::Admin::AdminController
requires_plugin ::DiscourseAi::PLUGIN_NAME
before_action :find_ai_persona, only: %i[show update destroy create_user]
def index
ai_personas =
AiPersona.ordered.map do |persona|
# we use a special serializer here cause names and descriptions are
# localized for system personas
LocalizedAiPersonaSerializer.new(persona, root: false)
end
tools =
DiscourseAi::AiBot::Personas::Persona.all_available_tools.map do |tool|
AiToolSerializer.new(tool, root: false)
end
llms =
DiscourseAi::Configuration::LlmEnumerator.values.map do |hash|
{ id: hash[:value], name: hash[:name] }
end
render json: { ai_personas: ai_personas, meta: { commands: tools, llms: llms } }
end
def show
render json: LocalizedAiPersonaSerializer.new(@ai_persona)
end
def create
ai_persona = AiPersona.new(ai_persona_params)
if ai_persona.save
render json: { ai_persona: ai_persona }, status: :created
else
render_json_error ai_persona
end
end
def create_user
user = @ai_persona.create_user!
render json: BasicUserSerializer.new(user, root: "user")
end
def update
if @ai_persona.update(ai_persona_params)
render json: @ai_persona
else
render_json_error @ai_persona
end
end
def destroy
if @ai_persona.destroy
head :no_content
else
render_json_error @ai_persona
end
end
private
def find_ai_persona
@ai_persona = AiPersona.find(params[:id])
end
def ai_persona_params
permitted =
params.require(:ai_persona).permit(
:name,
:description,
:enabled,
:system_prompt,
:priority,
:top_p,
:temperature,
:default_llm,
:user_id,
:mentionable,
:max_context_posts,
:vision_enabled,
:vision_max_pixels,
allowed_group_ids: [],
)
if commands = params.dig(:ai_persona, :commands)
permitted[:commands] = permit_commands(commands)
end
permitted
end
def permit_commands(commands)
return [] if !commands.is_a?(Array)
commands.filter_map do |command, options|
break nil if !command.is_a?(String)
options&.permit! if options && options.is_a?(ActionController::Parameters)
if options
[command, options]
else
command
end
end
end
end
end
end