Aakash BakhleandGitHub
45f4b423ae
# Pull Request Template ## Description Fixes: https://linear.app/chatwoot/issue/CW-7167/label-suggestions-bad-ux ## Type of change Please delete options that are not relevant. - [x] Bug fix (non-breaking change which fixes an issue) ## How Has This Been Tested? Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration. ## Checklist: - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented on my code, particularly in hard-to-understand areas - [ ] I have made corresponding changes to the documentation - [ ] My changes generate no new warnings - [ ] I have added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged and published in downstream modules
79 lines
2.4 KiB
Ruby
79 lines
2.4 KiB
Ruby
# Evaluates whether a conversation is complete and can be auto-resolved.
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# Used by InboxPendingConversationsResolutionJob to determine if inactive
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# conversations should be resolved or handed off to human agents.
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#
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# NOTE: This service intentionally does NOT count toward Captain usage limits.
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# The response excludes the :message key that Enterprise::Captain::BaseTaskService
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# checks for usage tracking. This is an internal operational evaluation,
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# not a customer-facing value-add, so we don't charge for it.
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class Captain::ConversationCompletionService < Captain::BaseTaskService
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RESPONSE_SCHEMA = Captain::ConversationCompletionSchema
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pattr_initialize [:account!, :conversation_display_id!]
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def perform
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content = format_messages_as_string
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return default_incomplete_response('No messages found') if content.blank?
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response = make_api_call(
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model: InstallationConfig.find_by(name: 'CAPTAIN_OPEN_AI_MODEL')&.value.presence || GPT_MODEL,
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messages: [
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{ role: 'system', content: prompt_from_file('conversation_completion') },
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{ role: 'user', content: content }
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],
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schema: RESPONSE_SCHEMA
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)
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return default_incomplete_response(response[:error]) if response[:error].present?
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parse_response(response[:message])
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end
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private
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def prompt_from_file(file_name)
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Rails.root.join('enterprise/lib/captain/prompts', "#{file_name}.liquid").read
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end
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def format_messages_as_string
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messages = conversation_messages(start_from: 0)
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messages.map do |msg|
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sender_type = msg[:role] == 'user' ? 'Customer' : 'Assistant'
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"#{sender_type}: #{msg[:content]}"
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end.join("\n")
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end
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def parse_response(message)
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return default_incomplete_response('Invalid response format') unless message.is_a?(Hash)
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{
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complete: message['complete'] == true,
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reason: message['reason'] || 'No reason provided'
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}
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end
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def default_incomplete_response(reason)
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{ complete: false, reason: reason }
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end
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# This is an internal operational evaluation, not a customer-triggered feature,
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# so it should always use the installation key.
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def llm_credential
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@llm_credential ||= system_llm_credential
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end
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def counts_toward_usage?
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false
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end
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def event_name
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'captain.conversation_completion'
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end
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def build_follow_up_context?
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false
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end
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end
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Captain::ConversationCompletionService.prepend_mod_with('Captain::ConversationCompletionService')
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