mirror of
https://github.com/discourse/discourse-ai.git
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5b6d39a206
* DEV: refactor bot internals This introduces a proper object for bot context, this makes it simpler to improve context management as we go cause we have a nice object to work with Starts refactoring allowing for a single message to have multiple uploads throughout * transplant method to message builder * chipping away at inline uploads * image support is improved but not fully fixed yet partially working in anthropic, still got quite a few dialects to go * open ai and claude are now working * Gemini is now working as well * fix nova * more dialects... * fix ollama * fix specs * update artifact fixed * more tests * spam scanner * pass more specs * bunch of specs improved * more bug fixes. * all the rest of the tests are working * improve tests coverage and ensure custom tools are aware of new context object * tests are working, but we need more tests * resolve merge conflict * new preamble and expanded specs on ai tool * remove concept of "standalone tools" This is no longer needed, we can set custom raw, tool details are injected into tool calls
102 lines
2.7 KiB
Ruby
102 lines
2.7 KiB
Ruby
# frozen_string_literal: true
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module DiscourseAi
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module Admin
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class AiToolsController < ::Admin::AdminController
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requires_plugin ::DiscourseAi::PLUGIN_NAME
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before_action :find_ai_tool, only: %i[test edit update destroy]
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def index
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ai_tools = AiTool.all
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render_serialized({ ai_tools: ai_tools }, AiCustomToolListSerializer, root: false)
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end
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def new
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end
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def edit
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render_serialized(@ai_tool, AiCustomToolSerializer)
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end
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def create
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ai_tool = AiTool.new(ai_tool_params)
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ai_tool.created_by_id = current_user.id
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if ai_tool.save
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RagDocumentFragment.link_target_and_uploads(ai_tool, attached_upload_ids)
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render_serialized(ai_tool, AiCustomToolSerializer, status: :created)
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else
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render_json_error ai_tool
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end
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end
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def update
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if @ai_tool.update(ai_tool_params)
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RagDocumentFragment.update_target_uploads(@ai_tool, attached_upload_ids)
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render_serialized(@ai_tool, AiCustomToolSerializer)
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else
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render_json_error @ai_tool
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end
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end
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def destroy
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if @ai_tool.destroy
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head :no_content
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else
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render_json_error @ai_tool
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end
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end
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def test
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@ai_tool.assign_attributes(ai_tool_params) if params[:ai_tool]
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parameters = params[:parameters].to_unsafe_h
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# we need an llm so we have a tokenizer
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# but will do without if none is available
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llm = LlmModel.first&.to_llm
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runner = @ai_tool.runner(parameters, llm: llm, bot_user: current_user)
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result = runner.invoke
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if result.is_a?(Hash) && result[:error]
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render_json_error result[:error]
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else
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render json: { output: result }
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end
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rescue ActiveRecord::RecordNotFound => e
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render_json_error e.message, status: 400
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rescue => e
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render_json_error "Error executing the tool: #{e.message}", status: 400
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end
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private
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def attached_upload_ids
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params[:ai_tool][:rag_uploads].to_a.map { |h| h[:id] }
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end
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def find_ai_tool
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@ai_tool = AiTool.find(params[:id].to_i)
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end
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def ai_tool_params
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params
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.require(:ai_tool)
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.permit(
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:name,
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:tool_name,
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:description,
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:script,
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:summary,
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:rag_chunk_tokens,
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:rag_chunk_overlap_tokens,
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:rag_llm_model_id,
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rag_uploads: [:id],
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parameters: [:name, :type, :description, :required, enum: []],
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)
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.except(:rag_uploads)
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end
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end
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end
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end
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