SN System Properties Reference
Category · 525 properties

ServiceNow AI, Analytics & Virtual Agent properties

These properties configure AI and machine-learning capabilities, analytics-related features, and Virtual Agent experiences across the ServiceNow platform. Admins and developers can review them when setting up or troubleshooting these capabilities, or when checking how a related feature is enabled or behaves; examples include ais_enablemlframework and aiux.experience.

Most common namespaces: com.glide 183 glide.platform_ml_di 48 Other namespaces 39 promin 29 glide.platform_ml 28 glide (other) 19

ais_enablemlframework This property activates the framework necessary for submitting training data and utilizing model artifacts in machine learning applications.
aiux.ainpx.tracing_enabled This property allows authorized users to capture detailed SSR diagnostic timing data when enabled, facilitating performance analysis.
aiux.experience This boolean property determines whether AI-driven user experience features are active, influencing how users interact with the platform.
com.glide.agentic_processes_view.enabled This property activates the visibility of the AI Workflows panel and associated UI actions for agentic workflows, enhancing user interaction with AI-driven processes.
com.glide.awa.openframe.timeout It configures the timeout duration for virtual agent calls to openframe, impacting how long the system waits before considering the call failed.
com.glide.cs.ai_search.max_regular_result This property defines the upper limit for the number of regular AI search results shown, allowing values between 3 and 10.
com.glide.cs.ais.async.search.fdih.thread.mode This property specifies whether AI Search actions should execute using the Virtual Agent thread or the platform thread, impacting the efficiency of search operations.
com.glide.cs.allow_ai_agent_type_autolinking It configures the system to allow or disallow the automatic linking of AI agent types, impacting how AI agents are utilized in service interactions.
com.glide.cs.allow_generative_ai_feedback_guest_user It controls the ability of guest users to submit feedback using a thumbs up or down mechanism.
com.glide.cs.analytics_api_key This property configures the API key for Appsee analytics integration with the Virtual Agent Designer, enabling performance tracking.
com.glide.cs.analytics_auth_token This property configures the authentication token used for Appsee analytics, enabling data collection for the Virtual Agent Designer.
com.glide.cs.analytics_debug_enabled This property controls whether Appsee debug information is generated for the Virtual Agent Designer, aiding in diagnostics and performance analysis.
com.glide.cs.ar.ai_search.feedback.enabled This property determines whether user feedback from the Auto-Resolution AI search is transmitted to GlideSignals, impacting data collection for improvements.
com.glide.cs.auto_resolution.enable_multi_language_support This property toggles the availability of multi-language support for training in the Auto-Resolution feature, impacting how well it can handle diverse language inputs.
com.glide.cs.auto_resolution.response_channel_list It specifies a comma-separated list of channels through which Auto-Resolution responses are sent, impacting how users receive notifications.
com.glide.cs.auto_resolution.retrain_workflow_solution This property controls the re-training status of the IAR workflow solution, allowing it to be re-trained only once.
com.glide.cs.auto_resolution.simulation.block_timeout_in_mins It defines the maximum time in minutes to wait for a prediction response before timing out a block execution in auto-resolution simulations.
com.glide.cs.auto_resolution.simulation.max_records_per_block It limits the number of task records processed in each batch for auto-resolution simulation, impacting system performance and efficiency.
com.glide.cs.auto_resolution.simulation.ml_prediction_batch_size It sets the batch size for predictions in the Auto-resolution simulation feature, impacting processing efficiency and resource utilization.
com.glide.cs.autopilot.agent_error_msg This property configures the error message shown to agents when an autopilot topic fails, helping them understand the issue.
com.glide.cs.autopilot.agent_finished_msg It configures the message shown to agents indicating the completion of an autopilot topic, with a default value stating that the topic completed successfully.
com.glide.cs.autopilot.agent_initiated_msg It configures the message shown to agents indicating that an autopilot topic has been initiated, with a placeholder for the specific topic name.
com.glide.cs.autopilot.client_finished_message It configures the message shown to the chat client upon completion of an autopilot topic, allowing for dynamic agent naming.
com.glide.cs.autopilot.client_initiated_header It configures the header message displayed to users when a live agent activates an autopilot topic in the Virtual Agent.
com.glide.cs.autopilot.client_initiated_message It configures a message visible to the chat client that informs users when an agent has initiated an autopilot session, with the agent's name dynamically included.
com.glide.cs.available_topics_msg This property configures the introductory message shown to users regarding available topics for assistance.
com.glide.cs.branding.agent_bubble_bg_color This property configures the background color of agent chat bubbles in the ServiceNow platform, affecting the visual appearance of chat interactions.
com.glide.cs.branding.bot_bubble_bg_color This property configures the background color of bot bubbles, affecting their appearance in the user interface.
com.glide.cs.branding.bot_bubble_font_color This property defines the color of the text displayed in bot bubbles, impacting the visual consistency of the user interface.
com.glide.cs.branding.disabled_link_color This property sets the color for disabled links, impacting the visual appearance of the user interface.
com.glide.cs.branding.msg_delay This property configures the minimum time interval between consecutive bot messages, ensuring a smoother communication flow.
com.glide.cs.branding.subheader_label This property defines the text displayed in the chat client's sub-header, allowing for branding customization.
com.glide.cs.branding.va_logo This property sets the image used as the logo in the chat header, affecting the visual branding of the chat interface.
com.glide.cs.branding.va_profile This property defines the identifier for the active Virtual Agent profile used for branding purposes.
com.glide.cs.cache.discoverable_topic_type.enabled It configures the caching mechanism for discoverable topic types to enhance processing efficiency in virtual agent natural language understanding.
com.glide.cs.cache.topic_type_dto.enabled This property enables or disables the caching of topic type DTOs to prevent unpredictable behavior related to cache usage.
com.glide.cs.chat_conversation_translating_error It specifies the error message displayed when dynamic translation fails in a virtual agent conversation.
com.glide.cs.checkpoint_processing_messages.enabled This property determines whether messages are processed in the virtual agent, impacting user interactions.
com.glide.cs.choice.pagination.script.method_signature It specifies the method signature that the VA Server uses to manage paging for choice pickers through scripting.
com.glide.cs.choice.paging_variables This property specifies a comma-separated list of context variables that manage paging for choice pickers in Virtual Agent, facilitating smoother user interactions.
com.glide.cs.choice.selected_options.limit It limits the number of choice options retained in the conversation context for the Virtual Agent's dynamic choice picker, impacting how users interact with the bot.
com.glide.cs.click_metrics.bot_output This property configures the collection of click metrics for system-generated links, excluding AP Search and Contextual Search results.
com.glide.cs.click_metrics.llm This property configures the system to gather click metrics related to LLM usage, aiding in performance analysis and user engagement assessment.
com.glide.cs.collab.event_queue.threshold This property defines the member threshold for transitioning to an event queue, impacting how unread chat counts are calculated and published.
com.glide.cs.collab.mention.max_search_count This property limits the number of user mention search results to a specified integer, with a default value of 5.
com.glide.cs.conversation.entity.cache.enabled This property enables or disables caching for conversation entities, impacting how quickly and efficiently chat interactions are processed.
com.glide.cs.conversation.interrupt_redirect.message It configures the text displayed to end users in the virtual assistant chat when their conversation is interrupted and reset.
com.glide.cs.conversation_context_data_format It determines whether conversation context data is stored in JSON or XML format, with JSON being the recommended format moving forward.
com.glide.cs.conversation_faulted_reason It sets the default message shown to users when a Virtual Agent conversation ends unexpectedly.
com.glide.cs.conversation_faulted_reason.disabled It disables the faulted reason message for conversations that time out, allowing for a cleaner user experience.
com.glide.cs.conversation_faulted_reason.now_assist_panel It customizes the fault message shown in the Now Assist Panel when a conversation times out due to inactivity.
com.glide.cs.conversation_faulted_reason.now_assist_panel.disabled It disables the notification message for conversation faults on the Now Assist Panel, allowing for a cleaner user interface during idle timeouts.
com.glide.cs.conversation_faulted_reason_with_pending_notification.disabled It disables the notification message shown to users when a conversation fails after being idle and pending notifications are present.
com.glide.cs.conversation_idle_timeout This property defines the duration in seconds that idle conversations remain open before being flagged as abandoned and closed by the system.
com.glide.cs.convesation_idle_timeout It defines the maximum idle time for conversations before they are automatically terminated, impacting user experience and resource management.
com.glide.cs.default_topic.persist This property enables the execution of a requester's default topic when starting a new virtual agent conversation, bypassing the normal topic discovery process.
com.glide.cs.dialog.boolean_threshold This property defines the threshold confidence level necessary for Boolean Dialog intents to be activated, influencing how effectively the system interprets user inputs.
com.glide.cs.dynamic.capability.timeout This property configures the timeout period in seconds for capabilities executed through the dynamic capability utility, affecting how long these capabilities can run before timing out.
com.glide.cs.dynamic.translation.virtual_agent.force_transcript_generation_after_hours_passed It configures the delay in hours before forcing the generation of an interaction transcript after a Virtual Agent conversation ends.
com.glide.cs.dynamic_loading_message.enabled This property enables or disables the support for dynamic stacked loading messages in the virtual agent, improving feedback during processing.
com.glide.cs.dynamic_loading_message.included_device_types It configures which device types, such as mweb, iOS, and Android, can display dynamic loading messages in the virtual agent.
com.glide.cs.embed.xframe_options This property sets the X-Frame-Options header to control iframe embedding behavior for chat services, with a default value of 'sameorigin' to prevent clickjacking.
com.glide.cs.enable_link_unfurling This property enables or disables the unfurling of links in the Virtual Agent bot's web client chat, affecting how links are displayed to users.
com.glide.cs.enable_metaphone This property controls the population of metaphone data in topic records and its consideration during keyword searches.
com.glide.cs.enable_slack_branding This property enables the branding configuration for the Slack Virtual Agent, allowing changes to the bot's name and icon.
com.glide.cs.enable_user_preferences_for_context_profile It allows the system to utilize user preferences during conversations by leveraging context profiles and stored memories.
com.glide.cs.entity_confidence_threshold This property defined the threshold for applying entity values based on NLU confidence scores, influencing how entities were recognized in user interactions.
com.glide.cs.faq.display_size This property defines the character limit for FAQ snippets in bot replies, impacting how much information users receive at a glance.
com.glide.cs.fdih.interactive.timeout This property defines the timeout duration in seconds for waiting on FDIH responses during Virtual Agent interactions, impacting how long users wait for replies.
com.glide.cs.fdih.password.not_match_message It specifies the error message shown to users when they fail to confirm matching secure inputs in FDIH actions invoked from VA Action utilities.
com.glide.cs.fdih.password.retry_message This property specifies the retry message shown to users when a system error occurs while confirming secure input in Virtual Agent.
com.glide.cs.fdih.spoke.actions.size_limit It configures the limit on the number of action records fetched for each spoke in the Virtual Agent Designer, impacting data retrieval efficiency.
com.glide.cs.fdih.spoke.subflows.size_limit It configures the limit on the number of subflow records fetched per spoke, impacting data retrieval efficiency in the Virtual Agent Designer.
com.glide.cs.field.boolean.show.choice_picker This property configures the visibility of a boolean picker in dynamic choice nodes based on the number of available options, enhancing user experience.
com.glide.cs.genai.discovery.limits.skill.slots It restricts the number of entities per skill that are sent to the Virtual Agent Skill Search LLM during the skill discovery process.
com.glide.cs.genai.input_collector_mismatch_reprompts It defines how many times a user can be prompted before the system attempts to discover relevant skills based on their input.
com.glide.cs.genai.intent_mismatch_reprompts This property determines how many reprompts occur before the system triggers skill discovery for AI Task interactions.
com.glide.cs.genai.message_history.send_initial_phrase This boolean property specifies whether the initial AI message is included in the message history for language conversations.
com.glide.cs.genai.prompt_enabled_mid_skill_switch It activates the prompt feature for mid skill discovery, allowing for enhanced user interaction during the process.
com.glide.cs.genai.skill.tracking.enabled It enables or disables the tracking of Gen AI Skills used by the Virtual Agent, impacting data collection and analysis.
com.glide.cs.general.bypass_business_rules_on_read It prevents business rules from executing on Virtual Agent queries for certain tables, allowing for uninterrupted system performance during critical operations.
com.glide.cs.general.data_is_sanitized_agent_message It specifies the text shown to users when their sensitive messages are sanitized for privacy reasons.
com.glide.cs.general.data_is_sanitized_message It configures the message shown to users when their input contains sensitive information that has been sanitized.
com.glide.cs.general.error_message It sets the default error message shown to users during technical difficulties, impacting user communication.
com.glide.cs.general.multi_file_invalid_image_msg It configures the message shown to users when they upload a non-image file in scenarios where an image is required.
com.glide.cs.general.retry_max_char_limit_exceeded_message It sets the error message shown to users when their input exceeds the allowed character limit, helping guide them to provide valid input.
com.glide.cs.general.retry_question_message This property sets the default message shown to users when their input is not recognized by the system.
com.glide.cs.general.top_selection_message This property sets the text for the top selection message that guides users on what to do next after receiving the welcome message in the Virtual Agent.
com.glide.cs.general.welcome_message This property sets the initial greeting message for users interacting with the Virtual Agent, allowing for customization of the user experience.
com.glide.cs.global_configuration It provides the sys_id for the default configuration page, allowing for easy reference and recreation if necessary.
com.glide.cs.html.sanitizer.enabled This property controls whether the HTML sanitizer service is active, which removes potentially harmful HTML elements and attributes from user input.
com.glide.cs.html_output_max_transcript_length It limits the number of characters displayed in HTML outputs for virtual agent conversation transcripts, affecting how much dialogue is shown.
com.glide.cs.idle_chat_reminder_message_for_agent It configures the reminder message displayed to agents before a chat session times out, helping manage user engagement.
com.glide.cs.idle_conversation.limit_to_close.per_run It defines the cap on the number of idle conversations that can be terminated during each run, impacting system resource management.
com.glide.cs.instance_uri_override This property allows the chatbot to use a specified URL instead of the instance's base URL for generating links.
com.glide.cs.intent_confidence_delta This property was intended to adjust the confidence level for launching topics in the Virtual Agent, but it is now obsolete.
com.glide.cs.intent_confidence_threshold This property defined the threshold for intent recognition in natural language understanding, but it is now obsolete.
com.glide.cs.legal_disclaimer_message This property configures the legal disclaimer message shown to users during AI-generated conversations, impacting user awareness and compliance.
com.glide.cs.line_idle_timeout This property configures the idle timeout for abandoned Virtual Agent conversations in the LINE messaging app, allowing administrators to specify how long these conversations stay open.
com.glide.cs.linking_account.message It sets the text shown to users upon successful linking of their accounts with ServiceNow, enhancing user feedback.
com.glide.cs.live_agent_only This property configures the flow of virtual agent conversations to ensure they connect directly to live agents without initial greetings.
com.glide.cs.llm.max_wait_system_topic_id It defines the system topic ID for managing maximum wait times in LLM conversations, affecting how users experience response delays.
com.glide.cs.llm.save_translations_for_llm_responses This property determines if dynamic translations for LLM responses are stored in the sys_cs_dynamic_translation_text table, enhancing Virtual Agent performance.
com.glide.cs.max_number_display_topics This property limits the number of topics shown to users, enhancing the clarity and focus of displayed information.
com.glide.cs.message.processing.enabled This property determines whether GenAI 'Processing' messages are sent to clients when Virtual Agent makes GenAI/LLM calls.
com.glide.cs.multiple_genius_results_supported It determines whether the VA AI search can show multiple genius results for a search term, impacting the richness of search outcomes.
com.glide.cs.nass.synthesized_response.citation_action.one_click This property configures the behavior of citation links in Enhanced Chat, allowing them to trigger actions directly while displaying item details separately.
com.glide.cs.neutral_sentiment_max_value It defines the upper limit for neutral sentiment scores, impacting the evaluation of message sentiment in conversational interfaces.
com.glide.cs.neutral_sentiment_min_value This property defines the lowest value for neutral sentiment, influencing how messages are categorized in sentiment analysis.
com.glide.cs.nextwave_conversation_idle_timeout This property defines the idle timeout period for conversations, defaulting to 604800 seconds, which is one week.
com.glide.cs.nlu.fallback.language This property defines a fallback language for NLU predictions when the user's language is not supported by the Virtual Agent.
com.glide.cs.nlu.keyword.ignore.threshold This property suppresses confirmation prompts for single keyword search matches in Virtual Agent when NLU is turned off.
com.glide.cs.nlu.keywords.enabled This property enables keyword-based topic searches in the Virtual Agent when NLU predictions do not yield any results.
com.glide.cs.nlu.keywords.include_topics_bound_to_lang It enables the inclusion of NLU-bound topics in keyword searches when NLU topic discovery fails, provided that the related keyword search property is enabled.
com.glide.cs.nlu.predict.conversation.digest.limit It limits the number of variables considered in the prediction digest for Virtual Agent Dialog Acts, impacting the quality of predictions.
com.glide.cs.nlu.predict.conversation.digest.name It defines the default identifier for the prediction digest related to Virtual Agent Dialog Act predictions, influencing how these predictions are processed and referenced.
com.glide.cs.nlu.predict_error.fallback.policy.1 This property specifies the fallback action to take when a VA-NLU prediction fails, with options including keyword search, fallback topic, or error topic.
com.glide.cs.nlu.predict_error.fallback.policy.2 It specifies the action taken when a prediction error occurs, allowing for recovery by redirecting to predefined topics if the first policy does not succeed.
com.glide.cs.nlu.service_error.fallback.policy.1 It specifies the fallback behavior when the VA-NLU service encounters an error, allowing for options like keyword search or directing users to predefined topics.
com.glide.cs.nlu.service_error.fallback.policy.2 It specifies the action taken when the VA-NLU service encounters an error, determining whether to redirect to a fallback or error topic.
com.glide.cs.nlu.system.entities It specifies the default entity types recognized by the NLU system, influencing how user input is interpreted and processed.
com.glide.cs.nlu_enable_emoji_panel This property controls the availability of the emoji panel in the webclient legacy chat, allowing users to insert emojis into their messages.
com.glide.cs.no_topic_found_message This property sets the default response message shown to users when their input does not correspond to any recognized topics.
com.glide.cs.no_topic_sorry_message It configures the text shown to users when their inquiries do not match any available topics, enhancing user interaction.
com.glide.cs.notification.create_llm_actions_after_topic_migration It determines whether actions for Virtual Agent notifications and Proactive Triggers are automatically created after LLM topics are published during the migration process.
com.glide.cs.oe_skill_executor_id" This property sets the identifier for a specific Virtual Agent topic, impacting how skills are executed within the system.
com.glide.cs.one_extend.enforce_timeout_for_llm This property enables the enforcement of OneExtend timeout during LLM calls, affecting both pre-processing and post-processing phases.
com.glide.cs.one_extend.java.proxy.conversation_lock_exclusions This property defines exclusions for conversation locks, allowing certain conversations to bypass locking mechanisms.
com.glide.cs.one_extend.java.proxy.llama.supported_models It defines which Llama models can be utilized when the auto proxy feature is active.
com.glide.cs.one_extend.java.proxy.mixtral.supported_models It specifies which models are supported by Mixtral when the auto proxy feature is active, influencing model selection during operations.
com.glide.cs.oneextend.sensitive_data_handling.capability_id This property configures the OneExtend capability ID for identifying and masking sensitive data in user interactions within conversational channels.
com.glide.cs.oneextend.timeout It configures the timeout duration for OneExtend calls during virtual agent interactions, impacting how long users wait for responses.
com.glide.cs.picker_query_limit This property configures the maximum number of results returned in search and pagination queries to optimize system performance.
com.glide.cs.preserve_requester_language_on_refresh It controls whether the requester’s language is preserved when the Virtual Agent Web Client is refreshed, impacting user interaction continuity.
com.glide.cs.proactive_trigger.create_llm_actions_after_topic_migration It enables or disables the automatic creation of actions for Proactive Triggers following the publication of LLM topics during the NLU to LLM topic migration process.
com.glide.cs.publisher.enable_text_prompt_display_values It allows localized display values for vaInputs in text prompts, enhancing user experience by showing appropriate formats.
com.glide.cs.record_lock_on_session It configures whether to lock a conversation record during session calls to prevent data conflicts when persisting context.
com.glide.cs.resume_conversation.message It specifies the text displayed to users when a conversation is resumed by the bot after an interruption.
com.glide.cs.resume_current_topic_option This property determines whether the system continues with the current topic or switches to a new one during interactions.
com.glide.cs.search_helpful_message It specifies the feedback message displayed to requestors following the execution of a topic, helping to gauge user satisfaction.
com.glide.cs.settings.show_message_preview This property enables or disables the display of unread message previews in the virtual agent web-client, affecting user engagement.
com.glide.cs.setup_topic_category_id It defines the specific Setup Topics record used in the system, impacting how topics are categorized and displayed.
com.glide.cs.skill_discovery_processor_id It defines the unique identifier for the skill discovery processor used in the Virtual Agent.
com.glide.cs.skippable_control_max_count This property defines the maximum number of processing loops for skippable rich controls, specifically for CCIF channels, to ensure system stability.
com.glide.cs.suggest.enable_partial_search It allows the Virtual Agent to suggest topics based on partial keywords entered by users, improving the search experience.
com.glide.cs.suggest.enable_phonetic_search This property enables phonetic searching for queries in the Virtual Agent, allowing for better matching of user input that may contain spelling errors.
com.glide.cs.suggest.enable_spell_check It activates spell check for user input in the Virtual Agent Suggest, improving search accuracy when users make typographical errors.
com.glide.cs.suggest.minimum_characters It defines the minimum character threshold for initiating partial matching, phonetic matching, and spellcheck in the Virtual Agent's search functionality.
com.glide.cs.support.voice_channel_system_messages It configures the voice channels that will present specific system messages to users, enhancing user interaction through voice interfaces.
com.glide.cs.table_output_page_limit This property configures the pagination limit for table outputs in Virtual Agent, directly affecting how much data is visible at once.
com.glide.cs.table_output_result_limit This property limits the number of records shown in table outputs in Virtual Agent to a specified integer value, defaulting to 100.
com.glide.cs.topic_confirmation_message This property sets the confirmation message shown to users when they select a topic, allowing customization of user interactions.
com.glide.cs.topic_discovery_id It defines the unique identifier for the `_topic_discovery_` topic, impacting how topics are managed within the platform.
com.glide.cs.topic_picker_button_label This property specifies the text displayed on the button that, when clicked, shows all available topics in a virtual agent conversation.
com.glide.cs.topic_picker_msg It configures the initial greeting message displayed to users when they initiate a conversation, helping set the context for their requests.
com.glide.cs.topic_skill_executor_id It defines the unique identifier for the _topic_skill_executor_ topic used by the Virtual Agent, impacting how skills are executed.
com.glide.cs.topic_switcher_id This property specifies the unique identifier for the `_topic_switcher_` topic, impacting how topics are managed within the platform.
com.glide.cs.topics.field.boolean.show.choice_picker It configures specific topics to use a single option choice picker for user selections, enhancing clarity in dynamic choice lists.
com.glide.cs.transcript_excluded_topics This property defines a list of topics whose messages will not appear in conversation transcripts, helping to manage privacy and relevance.
com.glide.cs.va.atf.retry This property configures the retry limit for failed virtual agent ATF tests, with a default setting of five attempts.
com.glide.cs.va.deflection_tracking.enable This property configures the Virtual Agent to track metrics related to deflection, helping assess the success of automated interactions.
com.glide.cs.va.sys_user This property sets the system user ID utilized by the virtual agent for processing requests and interactions.
com.glide.cs.va_api_message_history_enabled This property enables or disables the saving of message history in the VA API, impacting how bot interactions are logged.
com.glide.cs.va_input_collector_max_nodes This property configures the limit on the number of input nodes accepted by the Input Collector, impacting how data is processed.
com.glide.cs.va_legacy_scrolling_enabled This property toggles the legacy scrolling behavior in the Virtual Agent interface, allowing for a different user experience.
com.glide.cs.va_secure_input_not_supported_channels It specifies which communication channels are incompatible with FDIH secure inputs, impacting data security during input collection.
com.glide.cs.want_something_else_option This property defines the text displayed for an alternative option in the virtual agent's topic discovery interface, impacting user interaction.
com.glide.cs.wrong_topic_message It configures the response message shown to users when they choose a topic that does not match their request.
com.glide.event_handler.aiux_cache_eviction It defines the class used to process events related to the eviction of the AI Experience cache, impacting how cache management is handled.
com.glide.event_handler.msgeventhandler This property specifies the event handler used for processing Virtual Agent messages, influencing how messages are managed within the system.
com.glide.event_handler.va_click_metrics This property specifies the event handler used for processing various Click Metrics events, impacting how user interactions are logged and analyzed.
com.glide.genai.semantic_filter.enabled This property controls whether the semantic filter is active, impacting how content is processed and displayed within the platform.
com.glide.help_center.enable_ai_generated_content This property enables or disables the display of AI-generated help topics in the help center, affecting the content available to users.
com.glide.interaction.auto_generate_ai_wrap_up This property determines whether the system automatically populates the Wrap up code and Notes fields with AI-generated content or requires manual input from agents.
com.glide.one_extend.allow_feedback_override It allows users to bypass restrictions and submit or update feedback on Generative AI functionalities.
com.glide.one_extend.cacheable_skill_configs It defines a list of skill configuration IDs that will utilize caching to improve response times in the ServiceNow platform.
com.glide.one_extend.default_provider_sync This property controls the activation of the scheduled job and event responsible for fixing default provider settings in the system.
com.glide.one_extend.geo_routing This property enables or disables geo routing for Gen AI requests, ensuring they are processed by servers in the same region when available.
com.glide.one_extend.use_internal_translator This property configures whether translation requests are handled by an internal service or routed to Microsoft Azure's OEM translation service.
com.glide.oneapi.fdih.va.execution This property enables or disables the use of the VA thread for NAVA flow execution, impacting processing efficiency.
com.glide.oneapi.run_script_include_as_fdih_subflow This property configures the execution of script includes as FDIH subflows to improve performance in specific applications.
com.glide.oneapi.run_script_include_on_fdih_engine It allows script includes to run as FDIH subflows, optimizing performance for OneExtend and GenAI functionalities.
com.glide.oneextend.mosaic.async.use_hybrid_queue When enabled, this property redirects Mosaic async executions to the VA Hybrid Queue, allowing for efficient processing and response handling in a multi-threaded environment.
com.glide.opennlu.predict.provider.context.name This property defines the name of the context for NLU predictions, impacting how conversations are processed and understood by the system.
com.glide.platform_ml.prediction_server.sys_service.use_cases It defines a whitelist of use cases that can utilize sys_service and sys_service_endpoint for Triton server connections.
com.glide.platform_ml.prediction_server.use_cases It specifies the supported use cases for the prediction server, affecting how workflows can utilize machine learning capabilities.
com.snc.ai_search_assist.wait_time This property sets the wait time in milliseconds for triggering a search in a configured field, impacting how quickly search results are displayed.
com.snc.conversation_builder_full_header_card_support_enabled When enabled, this property activates the display of header cards for specific node types in the Conversation Builder, improving the visual layout of conversations.
com.snc.conversation_builder_help_text_enabled This property controls the visibility of help text fields for input nodes in the Virtual Agent Designer, impacting user experience during design.
com.snc.get_help.endpoint It configures the endpoint used by the Get Help skill to handle user queries, ensuring proper routing and functionality.
com.snc.innovation_management.predictive_analyisis_for_idea It activates machine learning capabilities to improve search functionality for existing ideas in the Idea Portal.
com.snc.pa.correlation.enable_insights This property determines whether key contributor insight cards are generated, providing valuable insights into performance analytics.
com.snc.pa.dc.hsql.max_row_count_indicator_source It limits the number of rows retrieved from an Indicator Source to enhance performance during data collection processes.
com.snc.pa.dc.max_error_count This property defines the threshold for errors that can occur before data collection is automatically stopped, helping to prevent excessive data loss or corruption.
com.snc.pa.scorecard.max_record_num This property defines the threshold for automatic record loading in the Analytics Hub, limiting it to a specified number.
com.snc.pa.sm.tta This property allows the configuration of subscription management features specifically for Text To Analytics, impacting how users manage their analytics subscriptions.
com.snc.pa.text.trendline_points_for.frequency It configures the limit on the number of trend-line points shown in text analytics, impacting how data trends are visualized.
com.snc.pa.xmr.processes.limit This property limits the number of KPI Signals Configurations evaluated during the KPI Signals Insight Job, ignoring any additional configurations beyond the specified limit.
com.snc.par.nlq.pa.enabled This property determines whether indicator support is active in NLQ, affecting how queries are processed and displayed.
com.snc.par.nlq.pa.metadata.use_cache This property controls the caching behavior for metadata used in Natural Language Queries, enhancing response times by storing frequently accessed data.
com.sys_par_insights_enabled This property enables or disables the Proactive Analytics feature, affecting the generation of insights within the ServiceNow platform.
domain.llm.usage.entitled This property determines whether domain separation is enabled for Gen AI skills, impacting how these features are accessed and utilized across different domains.
evt_mgmt.similarity_use_ml This property determines whether the Machine Learning model is utilized to find similar alerts, potentially improving troubleshooting and resolution consistency.
evt_mgmt.similarity_use_threshold This property enables or disables the use of a threshold for calculating similar alerts, affecting how alerts are matched and displayed.
evt_mgmt_similarity_solution_title This property sets the title for the selected predictive intelligence solution that identifies similar alerts based on their scores.
glide.ai.field_indicators.enabled This property enables or disables the display of AI field indicators on records modified by AI agents or workflows.
glide.ai.list_indicators.enabled This property determines whether AI indicators are shown in lists, impacting user experience and data interaction.
glide.ai_experience.use_karuna_workload This property specifies whether the tool-output widget should use the Karuna format or the aiux-kit format, with a default setting favoring Karuna.
glide.ais.evaluation.enabled This property determines if A/B Evaluation testing is active for AIS applications, influencing how user interactions are analyzed.
glide.ais.ingestion.batcher_queue_memory_size This property configures the memory allocation for the ingestion batcher queue, impacting how efficiently data is processed.
glide.ais.ingestion.guard_rails_enabled_datasources This property configures the data sources that are subject to ingestion guardrails, helping to manage data quality during ingestion.
glide.ais.ingestion.guard_rails_flag This boolean property controls whether guard rails are active during data ingestion processes, impacting data integrity and compliance.
glide.ais.ingestion.va_tables This property defines the specific records that sys_gen_ai_skill references for its calculated fields, impacting how AI skills are derived from various data sources.
glide.ais.query.requested_rows_multiplier This property determines how many results are returned by multiplying the base count for AI Search queries, impacting search efficiency and user experience.
glide.ais.security.force_late_binding This property enables late binding for ACL evaluation in AI Search, affecting how access permissions are determined during search operations.
glide.aiux.records_change_listener.ignored_tables This property defines a list of sys_aix_* tables that will not be monitored for cache-eviction events, allowing for more control over cache management.
glide.analytics.cache.enabled This property enables or disables caching for analytics data, affecting how quickly analytics queries are processed.
glide.analytics.consent.script_timeout This property specifies the maximum duration in milliseconds that a custom script can run when triggered by the consent policy mechanism in User Experience Analytics.
glide.analytics.enabled This property enables or disables User Experience Analytics, impacting how user interaction data is gathered and utilized for analysis.
glide.analytics.user.auto.consent This property determines whether usage tracking occurs automatically for users when the consent popup is not displayed.
glide.analytics.user.consent.popup.disabled This property controls whether the user consent popup for analytics is displayed, allowing for a smoother user interaction when disabled.
glide.cache.provider.ml_object_cache This property configures the cache provider for Machine Learning model artifacts, impacting how these artifacts are stored and retrieved.
glide.cache.size.ml_object_cache It defines the maximum memory allocation for caching machine learning artifacts, influencing system performance and resource management.
glide.clotho.trigger.gap.min_window This property defines the minimum allowable time window for gap triggers, ensuring that the gap between any two trigger levels meets or exceeds this specified duration.
glide.clotho.trigger.linear.predictor.min_window This property defines the minimum allowable window size for linear predictor triggers, ensuring it aligns with the metric retention period.
glide.clotho.trigger.max_window This property defines the upper limit for the window size of triggers, ensuring it does not exceed the product of this value and the metric retention period.
glide.collab.candidate_prefill_limit This property limits the number of users that can be pre-filled in the collaboration chat modal to enhance usability and system performance.
glide.cs.async.http.post.enabled This property enables or disables VA asynchronous HTTP POST calls, impacting how data is sent and received in the system.
glide.cs.async.http.post.timeout.ms This property defines the maximum time allowed for VA asynchronous HTTP POST requests to complete before timing out.
glide.cs.detect_conversation_start This property allows Virtual Agent to manually initiate a conversation if it detects that the conversation has not started due to subscription issues.
glide.cs.disable.show_me_everything This property determines whether the 'show me everything' button appears in the virtual agent's topic picker, affecting user access to all available topics.
glide.cs.discovery.trace.enabled It activates logging for Topic Discovery events, allowing administrators to investigate why specific topics are not available to users.
glide.cs.enable_validation_error_messages This property controls whether detailed validation error messages are shown to end users, enhancing user experience by providing actionable feedback.
glide.cs.hybrid.queue.enabled This property determines whether the Virtual Agent hybrid queue is activated, impacting how chat interactions are managed.
glide.cs.include_notification_messages_history This property enables the inclusion of notification conversation messages history in the Virtual Agent's session API under specific conditions.
glide.cs.max_topic_discovery_utterance This property limits the length of utterances for topic discovery to safeguard the performance of natural language understanding and text indexing services.
glide.cs.midtopic.discovery.fallback.policy This property configures the fallback behavior of the Virtual Agent during mid-topic searches, allowing for either a retry of the question or a redirect to a broader topic discovery.
glide.cs.modify_da_multi_conf_msg2 It configures the second part of the confirmation message shown to users when multiple values are modified in a dialog act prediction.
glide.cs.one_extend.abtesting This property allows administrators to activate A/B testing for Gen AI, facilitating the comparison of different versions to enhance performance.
glide.cs.runtime.batch_messages When enabled, this property creates a channel session that batches messages sent over it, enhancing message processing capabilities.
glide.cs.sanitize_inbound_messages.enabled This property activates a dedicated HTML sanitization check for inbound chat messages, ensuring that unsafe content is removed before reaching agents.
glide.cs.worker.reduced_sysevent When enabled, this property limits sysevent entries by only allowing messages to be added when the queue is full, helping to control database growth.
glide.cs.worker.thread.timeout.ms This property configures the maximum time a VA server worker thread can run before timing out, impacting transaction processing efficiency.
glide.evaluation.enabled This property controls the availability of the A/B Evaluation Testing framework, impacting how experiments are conducted within the platform.
glide.events.stuck_states.virtual_agent This property configures the recovery of specific sysevent states from the virtual_agent queue during node crashes, ensuring system resilience.
glide.instance.analytics.disabled.due.to.adcv2 This property determines whether analytics features associated with ADCv2 are enabled or disabled in the ServiceNow instance.
glide.ml.auto_train_eligible.status This property stores the eligibility status for auto training on the current instance, affecting how machine learning functionalities are utilized.
glide.ml.callback.uri This property defines the URL that the system uses to send callbacks during machine learning training sessions.
glide.ml.callback_url.validation.status This property indicates whether the glide.servlet.uri has been validated during ML training request submissions, affecting the success of those requests.
glide.ml.instance.validation.token This property stores the instance validation token used in validating callback URIs when submitting ML Training requests.
glide.mlpredictor.ml_x_snc_global_global_6eedb38234bf5010f877396127c8ffee.predict.request_timeout This property defines the time limit in milliseconds for prediction requests, impacting how long the system waits before timing out.
glide.mlpredictor.option.nlu.@lookupSources:hardware This property configures the system to utilize a predefined vocabulary for hardware names, enhancing the accuracy of hardware-related queries.
glide.mlpredictor.option.nlu.@lookupSources:software This property configures the system to utilize a predefined vocabulary for software name recognition, improving natural language understanding capabilities.
glide.mlpredictor.option.nlu.activeLearning.isEnabled This property directly controls whether the Active Learning feature is active, impacting how the system learns from user interactions.
glide.mlpredictor.option.nlu.activeLearning.label_candidate_table.max_data_size This property defines the upper limit on the number of records in the Label Candidate Table, impacting data storage capacity.
glide.mlpredictor.option.nlu.activeLearning.label_candidate_table.max_response_size It limits the number of candidate samples returned by the Active Learning job for labeling purposes.
glide.mlpredictor.option.nlu.activeLearning.label_table.max_data_size This property defines the upper limit for the number of records in the Label Table, impacting data management and system performance.
glide.mlpredictor.option.nlu.activeLearning.max_models_limit This property limits the number of models fetched in the Active Learning process, impacting the efficiency of model training and evaluation.
glide.mlpredictor.option.nlu.activeLearning.va_chat_logs.filtering_on This property enables or disables the filtering of VA chat logs to exclude mid-conversation utterances and dialog acts, ensuring cleaner data for analysis.
glide.mlpredictor.option.nlu.activeLearning.va_chat_logs.max_row_limit It limits the number of records retrieved from the VA chat logs during Active Learning processes, impacting data analysis and training efficiency.
glide.mlpredictor.option.nlu.activeLearning.va_chat_logs.min_row_limit This property specifies the minimum number of records to fetch from the VA chat logs, impacting the data available for the Active Learning process.
glide.mlpredictor.option.nlu.ml_x_snc_global_global_6eedb38234bf5010f877396127c8ffee.modelUseCase This property specifies the intended use case for the machine learning model, influencing how it processes and responds to queries.
glide.mlpredictor.scheduled.nlu.model.training This property schedules NLU model training during off-peak times to minimize impact on instance performance.
glide.nlu.intents_per_model.async_warning_lower_limit This property defines the lower limit for the number of intents that triggers a warning about asynchronous training mode in the system.
glide.nlu.intents_per_model.async_warning_upper_limit This property defines the upper threshold for intent notifications related to asynchronous training, helping manage user awareness and system performance.
glide.nlu.intents_per_model.max_limit This property defines the upper limit for the number of intents that can be included in a natural language understanding model, impacting its complexity and performance.
glide.nlu.model.purpose.iar.enable This property enables the IAR Model Purpose option, allowing for better classification of NLU models during their creation.
glide.nlu.static_lookup.value_limit This property limits the number of records retrieved from a List vocabulary source to optimize performance and manageability.
glide.nlu.utterances_per_intent.value_limit This property defines the cap on utterances per intent, influencing how well the system can understand and process user inputs.
glide.nlu.utterances_per_model.async_warning_lower_limit This property defines the threshold for notifying users when the utterance count falls below a specified minimum, impacting asynchronous training mode awareness.
glide.nlu.utterances_per_model.async_warning_upper_limit This property defines the upper threshold for utterances that trigger a warning about asynchronous training mode, helping to manage user expectations and system behavior.
glide.nlu.utterances_per_model.max_limit This property defines the cap on the number of utterances allowed for a single model, impacting how well the model can learn and respond.
glide.one_extend.genai.cache_warmup.capability_ids This property configures the specific capability IDs that are preloaded into the cache to enhance system performance during startup.
glide.platform_ml.agent_zero.override_incident_encoded_query This property overrides the default encoded query for retrieving incidents in Agent Zero, allowing for tailored data filtering.
glide.platform_ml.agent_zero.override_incident_max_limit This property defines the maximum number of incidents that can be processed by Agent Zero, with a default limit of 30,000.
glide.platform_ml.api.csv_max_line This property limits the number of training records to a specified maximum, influencing the efficiency and effectiveness of machine learning model training.
glide.platform_ml.api.csv_min_line This property defines the minimum threshold of records needed for training, impacting the quality of machine learning outcomes.
glide.platform_ml.api.csv_split_days This property limits the number of days' worth of records returned by API requests to a maximum of 30 days by default.
glide.platform_ml.api.enable_workflow_classification This property determines whether workflow classification utilizes machine learning techniques, impacting how workflows are categorized and processed.
glide.platform_ml.api.enable_workflow_clustering This boolean property determines whether workflow clustering is active, impacting how workflows are processed across the platform.
glide.platform_ml.api.enable_workflow_similarity This boolean property determines whether Workflow Similarity is active, affecting how workflows are analyzed for similarities.
glide.platform_ml.api.max_agent_zero_records This property defines the upper limit of records for Agent Zero, impacting data handling and performance within the system.
glide.platform_ml.api.max_clustering_records This property defines the upper limit on the number of records processed during clustering, impacting the efficiency and scalability of machine learning functions.
glide.platform_ml.api.max_nlu_lookupsource_records This property limits the number of records returned from a Table vocabulary source to optimize performance and manage resource usage.
glide.platform_ml.api.max_regression_records This property defines the maximum count of regression records that the system will handle, impacting data processing capabilities.
glide.platform_ml.api.max_similarity_window_records This property limits the number of records considered in similarity window calculations, impacting the efficiency of similarity searches in the platform.
glide.platform_ml.api.max_wordcorpus_records This property limits the number of records stored in each word corpus table to enhance system performance and manageability.
glide.platform_ml.api.min_agent_zero_records This property defines the minimum threshold of records that must be present for Agent Zero to operate effectively.
glide.platform_ml.api.min_clustering_records This property defines the minimum threshold of records necessary for clustering to occur, impacting data analysis and processing.
glide.platform_ml.api.min_regression_records This property specifies the minimum threshold of records necessary for conducting regression analysis in the platform's machine learning features.
glide.platform_ml.api.min_similarity_window_records This property defines the minimum threshold of lookup set records necessary for conducting similarity training in the platform.
glide.platform_ml.api.model_size This property defines the upper limit for the size of machine learning models that can be processed within the platform.
glide.platform_ml.artifact.cache_compression_scheme This property determines the compression method for cached machine learning artifacts, impacting storage and retrieval efficiency.
glide.platform_ml.disable_agent_zero_self_tuning This property, when set to true, prevents agent zero from automatically adjusting its parameters based on incoming data, impacting its learning efficiency.
glide.platform_ml.override_training_lock This boolean property determines whether the readonly state of the ml_solution_definition record can be overridden during training sessions.
glide.platform_ml.post_clone.training_schedules_deactivated This property disables machine learning training schedules post-cloning, preventing unintended training activities during system updates.
glide.platform_ml.supported_use_cases_for_run_jobs_daily This property defines the use cases that are compatible with daily scheduling of training jobs, impacting how machine learning tasks are managed.
glide.platform_ml.trainer_response_timeout_threshold This property defines the timeout threshold for receiving responses from the trainer during solution training, impacting how quickly requests are reassigned if no response is received.
glide.platform_ml.training_timeout This property defines the timeout period in milliseconds for an in-training solution waiting for updates, influencing the efficiency of machine learning operations.
glide.platform_ml.update.set_size This property sets a limit on the size of update sets used in Similarity and Clustering operations, impacting data management and processing efficiency.
glide.platform_ml.use_new_schema This property determines whether the new schema for machine learning is utilized, affecting how data is structured and processed within the platform.
glide.platform_ml_di.doc_classifier.days_between_trainings This property defines the minimum interval in days between consecutive training sessions for the DocClassifier, impacting how frequently the model can be updated.
glide.platform_ml_di.doc_classifier.document_supported_types This property defines the allowed document formats for the DocClassifier, including images and PDFs, impacting its functionality in processing and analyzing documents.
glide.platform_ml_di.doc_classifier.max_attachment_size This property defines the upper limit for attachment sizes that can be processed by the document classifier, impacting how documents are handled in the system.
glide.platform_ml_di.doc_classifier.max_keys_per_task_definition This property limits the number of keys allowed in a task definition for document classification, impacting how use cases are structured.
glide.platform_ml_di.doc_classifier.max_number_of_attachments This property defines the upper limit of attachments that the document classifier can handle for each task, impacting processing capabilities.
glide.platform_ml_di.doc_classifier.max_number_of_attachments_for_predict This property defines the upper limit of attachments allowed for the document classification prediction job, impacting how many files can be analyzed simultaneously.
glide.platform_ml_di.doc_classifier.max_number_of_pdf_pages This property limits the number of pages that the document classifier can process from a single PDF file, with a default setting of 25 pages.
glide.platform_ml_di.doc_classifier.max_number_of_task_images This property limits the number of images allowed for prediction processing in tasks, impacting how documents are handled in the system.
glide.platform_ml_di.doc_classifier.min_number_of_training_samples_per_class It specifies the minimum training samples needed per class to optimize document classification performance.
glide.platform_ml_di.doc_classifier.mle_component_version This property sets the version number for the machine learning workflows associated with the DocClassifier, impacting how documents are processed and classified.
glide.platform_ml_di.doc_data_extractor.autofill_threshold This property defines the score threshold that must be met for candidates to be autofilled in the system, impacting candidate selection efficiency.
glide.platform_ml_di.doc_data_extractor.batch_size_for_upgrade This property defines the number of records processed in each batch during the upgrade data extraction process, impacting upgrade efficiency.
glide.platform_ml_di.doc_data_extractor.client_side.rescoring This boolean property determines whether client-side rescoring is allowed for keygroups, impacting how data is processed and evaluated in real-time.
glide.platform_ml_di.doc_data_extractor.days_between_advanced_training_jobs It defines the minimum interval in days between consecutive advanced training jobs to prevent resource contention.
glide.platform_ml_di.doc_data_extractor.enable_concurrency This property controls whether document data extraction can occur concurrently, impacting processing speed and efficiency.
glide.platform_ml_di.doc_data_extractor.experiments.create_candidate_on_the_fly It allows candidates to be created on-the-fly in the web UI when extracting values from tasks, enhancing the data extraction workflow.
glide.platform_ml_di.doc_data_extractor.final_training_frequency This property sets the threshold for task accumulation before initiating training in the document data extractor process.
glide.platform_ml_di.doc_data_extractor.keygroup.autofill This boolean property determines whether multiple keygroups are automatically filled during data extraction processes.
glide.platform_ml_di.doc_data_extractor.max_keys_per_task_definition This property limits the number of keys allowed in each task definition to optimize processing and resource allocation.
glide.platform_ml_di.doc_data_extractor.max_keys_per_task_definition_genai_extraction This property limits the number of keys allowed in a GenAI extraction task definition, impacting how data is processed and extracted.
glide.platform_ml_di.doc_data_extractor.max_keys_per_task_definition_genai_qa This property limits the number of keys that can be defined for GenAI Q&A tasks, impacting how data is structured and processed.
glide.platform_ml_di.doc_data_extractor.max_num_of_prediction_jobs This property limits the concurrent submission of prediction jobs, impacting processing efficiency and system load.
glide.platform_ml_di.doc_data_extractor.max_number_of_attachments This property limits the number of attachments allowed on a task to a specified maximum, which is set to 10 by default.
glide.platform_ml_di.doc_data_extractor.max_number_of_pdf_pages This property limits the number of pages processed from each PDF to enhance system efficiency and prevent overload.
glide.platform_ml_di.doc_data_extractor.max_number_of_task_images This property limits the number of images extracted from a PDF attached to a task, impacting the document extraction process.
glide.platform_ml_di.doc_data_extractor.metrics_aggregated_additional_days_kept This property configures the retention period for aggregated DocIntel metrics, extending it beyond the minimum threshold.
glide.platform_ml_di.doc_data_extractor.metrics_aggregation_minimum This property determines the threshold of records needed to trigger small-scale aggregation for DocIntel metrics, impacting data processing efficiency.
glide.platform_ml_di.doc_data_extractor.metrics_daily_additional_days_kept This property configures the retention period for daily metrics, extending it by a specified number of days beyond the minimum.
glide.platform_ml_di.doc_data_extractor.middle_intervals This property configures the training frequency intervals for machine learning processes based on ceiling thresholds, impacting how data is processed.
glide.platform_ml_di.doc_data_extractor.ml_solutions_to_keep_from_cleanup It configures the retention limit for machine learning solution records in the cleanup process, impacting data management and storage efficiency.
glide.platform_ml_di.doc_data_extractor.mle_component_version This property defines the specific version of the ML backend component that ML workflows will utilize for processing.
glide.platform_ml_di.doc_data_extractor.mluc.id.list This property specifies the machine learning use case IDs that the system uses for document data extraction across different business units.
glide.platform_ml_di.doc_data_extractor.ocr_parsing_supported_types This property defines the supported image formats for OCR parsing, with a default of PNG and JPEG.
glide.platform_ml_di.doc_data_extractor.per_key_availability.active This property toggles the activation of the perKeyAvailability feature, impacting how document data extraction handles key availability.
glide.platform_ml_di.doc_data_extractor.regional_hub_enabled This property controls whether data can be sent to shared GPU Datacenters for processing, enhancing performance for data extraction operations.
glide.platform_ml_di.doc_data_extractor.show_candidate_score This property determines whether candidate scores are shown in the suggestions selection menu, enhancing user visibility of scoring metrics.
glide.platform_ml_di.doc_data_extractor.show_exact_match_option This boolean property determines whether the exact match option is shown during document data extraction, affecting how users interact with the extraction interface.
glide.platform_ml_di.doc_data_extractor.taskdefinition_upgrade_percentage This property specifies the minimum training completion percentage required for upgrading an existing task definition.
glide.platform_ml_di.doc_data_extractor.train_for_every_task_below It sets the threshold for the number of samples needed for training across various tasks in the machine learning data extractor.
glide.platform_ml_di.doc_data_extractor.use_prediction_server This property determines whether OCR jobs are sent to a prediction server for processing, improving the extraction of data from documents.
glide.platform_ml_di.doc_data_extractor.warning_score_threshold This property defines the score threshold below which candidates are flagged with a warning during document data extraction processes.
glide.platform_ml_di.genai_extractor.max_number_of_task_images This property limits the number of images allowed for processing in genai extraction tasks, impacting how many images can be handled at once.
glide.platform_ml_di.genai_qna.max_number_of_task_images This property limits the number of images generated from a PDF for processing in the genai document question and answer feature.
glide.platform_ml_di.image_format_type_pdf2img This property sets the output image format for the PDF to image conversion API, allowing customization between formats like JPEG and others.
glide.platform_ml_di.image_height_pdf2img This property specifies the height of images generated from PDF files during conversion, impacting the final output size and quality.
glide.platform_ml_di.image_resolution_pdf2img This property configures the resolution in DPI for images generated from PDF files during conversion.
glide.platform_ml_di.image_width_pdf2img This property specifies the width of images generated from PDF files during the conversion process.
glide.platform_ml_di.predict_job_timeout_seconds This property configures the maximum time allowed for prediction jobs to run before timing out, with a default of 7200 seconds.
glide.platform_ml_task.max_byte_size_for_attachments This property defines the upper limit on the size of attachments that can be utilized for training machine learning models within the platform.
glide.platform_ml_task.max_number_of_attachment_for_training This property limits the number of attachments fetched during machine learning training, impacting the volume of data used for model development.
glide.platform_ml_task.max_number_other_features This property limits the number of records for other features, like attachments or comments, that can be included in machine learning training.
glide.platform_ml_task.max_number_records_for_training This property defines the maximum number of records that can be fetched for training machine learning models, impacting the training process's scope and performance.
glide.platform_ml_task.supported_attachment_types This property defines a comma-separated list of file types that can be attached to machine learning tasks, impacting data input options.
glide.platform_mm_service.captioning_timeout This property defines the maximum time allowed for VLM captioning requests, with a default of 30 seconds, which can be adjusted between 1 and 120 seconds.
glide.platform_mm_service.jwt.expiry_minutes This property defines the duration in minutes before the Multimodal Service JWT expires, impacting session management and security.
glide.platform_mm_service.max_retry_count This property defines the limit for retry attempts on multimodal processing jobs that fail, impacting how many times the system will attempt to reprocess a job before giving up.
glide.platform_mm_service.max_tokens This property defines the maximum token limit for VLM captioning, impacting the length of generated captions and associated processing costs.
glide.platform_mm_service.min_image_area_ratio This property filters out images that occupy less than a specified fraction of the page area, preventing them from being sent to the VLM for captioning.
glide.platform_mm_service.model_name This property sets the model name for the machine learning service, influencing the behavior and outcomes of related processes.
glide.platform_mm_service.supported_tables This property specifies which tables are compatible with the mm_service, allowing for proper integration and functionality within the platform.
glide.platform_mm_service.video.num_frames This property configures the maximum number of video frames that can be extracted by the Multimodal Service for on-demand requests, with a hard limit of 20 frames.
glide.platform_mm_service.video.transcribe_audio This property enables or disables audio transcription for MMS video extraction using Whisper technology when audio is present.
glide.prediction_service.url This property sets the endpoint for the predictive intelligence service, impacting how predictions are generated and utilized within the platform.
glide.prediction_service.url.prefix This property sets the base URL prefix for accessing prediction services within the ServiceNow platform.
glide.sc.builder.va_preview_topic_id This property sets the sys_id for the Virtual Agent conversation that is utilized for item previews, impacting how items are presented to users.
glide.sc.va.reference_question_choices.limit This property defines the upper limit of choices for reference questions, ensuring that conversational requests remain functional within the specified threshold.
glide.secury.event.send.list This property configures a list of events that are sent to Usage Analytics, enabling better tracking of system activities.
glide.service_portal.ais_defer_load_enable.list This property allows the configuration of specific portal URL suffixes to enable deferred loading for AI search, impacting how search results are loaded.
glide.service_portal.ais_nlq_enabled This property allows the integration of AI Search NLQ components within the Service Portal, improving user search experiences.
glide.signals.enabled This property controls the activation of the analytics feature, allowing for data-driven insights and reporting.
glide.ua.ih.attribution.v2.fallback.empty_exclusions This property enables fallback to v1 IH attribution logic if the IH Transaction Exclusion table is empty, ensuring continued functionality.
glide.ui.ti.hide_recommendation_banner This property hides the form-level banner that indicates Task Intelligence field recommendations when enabled, affecting user interaction with those recommendations.
glide.va.teams.install.accept.url_query_parameter This property enables or disables the consumption of the jvar_url query parameter, affecting how URLs are processed during team installations.
glide.voice.authenticate.mfa_mandatory This property controls the enforcement of multi-factor authentication for AI voice agent interactions, ensuring that callers provide multiple verification factors for access.
glide.wordvector.upgrade_time_frame This property defines the duration in days for which word vector upgrades are considered valid before requiring a refresh.
metric_name_analysis.add_detected_constant_candidate This boolean property determines whether metrics can be analyzed for near-constant behavior, impacting anomaly detection capabilities.
mid.mi.anomaly_detection.disable This property, when set to true, prevents the system from detecting and reporting anomalies in CI metrics.
pa.xmr.processes.limit This property configures the limit on the number of KPI Signal configurations queried during KPI Signal Insights calculations, impacting data accuracy and performance.
piwb.auto_train_threshold This property defines the threshold percentage of net automation necessary for a pretrained model to be visible in the system.
piwb.instance_eligible_auto_train This property indicates the eligibility of an instance for pretraining, affecting its training capabilities.
piwb.prediction_batch_size This property defines the limit on the number of rows processed in each batch for PIWB Model predictions, impacting testing efficiency.
piwb.prediction_max_allowed_rows This property limits the number of rows processed in batch testing to enhance efficiency and manage resource usage.
piwb.top_n_input_fields This property configures the count of recommended input fields displayed based on their correlation to the output field, enhancing user experience.
piwb.underperformance_min_records This property defines the threshold for the minimum predictions needed to evaluate the underperformance of use cases, impacting data analysis accuracy.
piwb.underperformance_threshold This property defines the acceptable percentage difference that indicates underperformance in automation use cases, helping to identify areas needing improvement.
privacy_sdh_support_genAI This boolean property determines whether genAI calls are redirected from SDH to Data Discovery, impacting data processing workflows.
process.cluster.batch_size.max_days_between_train This property limits the interval between consecutive machine learning training jobs to a specified number of days, impacting the freshness of the model.
process.cluster.batch_size.min_process_to_train This property defines the minimum threshold of processes that must be available before a machine learning training job can commence.
promin.activity.recommendation.enabled This property directly controls whether Activity field recommendations are provided in the Process Mining feature, impacting user experience and data insights.
promin.activity_dot_walk_limit This property configures the limit on dot walks in activity definitions, impacting how data is accessed and displayed.
promin.agent_activity_analysis.max_length_work_note This property defines the maximum allowable length of worknotes, filtering out any that exceed this limit to streamline data analysis.
promin.agent_activity_analysis.max_records_per_cluster This property defines the maximum number of records per cluster that can be analyzed by the LLM, impacting the efficiency of agent activity assessments.
promin.agent_activity_analysis.min_eligible_worknotes It specifies the minimum count of eligible work notes, filtering out those that are too long, too short, or machine-generated.
promin.agent_activity_analysis.min_length_work_note This property filters out worknotes shorter than the specified minimum length, ensuring only relevant entries are included in analysis.
promin.agent_activity_analysis.min_worknote_percentage_threshold This property specifies the minimum percentage of records with valid work notes needed to start clustering, filtering out irrelevant entries.
promin.auto_clean_days This property specifies the number of days after which retired projects will be automatically cleaned up from the system.
promin.auto_retire_days This property specifies the inactivity duration in days after which projects are automatically retired, with a default value of 90 days.
promin.blocked.tables This property defines specific tables that are blocked from data mining activities, impacting how data is processed and reported.
promin.feature.enable_evaluation This property directly controls the availability of evaluation projects within the ServiceNow platform, impacting how users interact with process mining capabilities.
promin.metered_usage.allow_unrestricted When enabled, this property allows users to bypass entitlement checks during mining, which can lead to overcharges for exceeding usage limits.
promin.metered_usage.warning_limit This property determines when users receive warnings about metered usage in process mining based on the number of records processed.
promin.pa_integration_required_roles This property defines a list of roles that can launch Process Mining, impacting user access to analytics capabilities.
promin.persist.pa_model This property sets the duration, in days, for which PA Projects remain in the system after being last updated.
promin.playbook.max_variants This property configures the upper limit on the number of playbook variants generated during the playbook creation process.
promin.primary_metric This property determines which primary metric is shown in the Analyst Workbench, affecting how data is analyzed and presented.
promin.rca.min_condition_and_effect This property determines the minimum percentage of records needed to include an influencer in the leading influencers list, impacting data analysis and reporting.
promin.rca.min_odds_ratio This property defines the threshold for the minimum odds ratio that must be met for certain calculations to be considered valid.
promin.rca.result_count This property sets the integer value for the number of top influencers to display, with a default of 20.
promin.secondary_metric This property allows administrators to select a secondary metric for analysis in the Analyst Workbench, influencing reporting and insights derived from performance data.
promin.show_records.limit This property defines the upper limit of records that can be returned for display in the Show Records feature, impacting data visibility during analysis.
promin.task_mining.blocked.tables This property specifies which tables are blocked from being included in task mining analyses, ensuring that only selected data is processed.
promin.work_notes.min_eligible_notes_for_single_llm_call This property specifies that at least five eligible work notes must be present to initiate a single LLM call, impacting how work notes are processed.
promin.work_notes.min_eligible_records This property defines the threshold for the minimum number of work notes that must be present to be considered eligible for analysis in process mining.
promin.work_notes.min_percentage_transition_threshold This property defines the minimum percentage of work notes that must meet criteria to qualify for transition within the system.
promin.work_notes.min_records_with_llm This property specifies that at least five records must be present per transition to start work notes analysis for users eligible for Now Assist.
promin.worknotes.min_records This property defines the threshold of transition records needed to trigger the analysis of work notes, impacting how work notes are generated and utilized.
promin.workspace.hide_from_navigation This property determines whether the Process Mining Workspace is displayed in Unified Navigation for users without Process Mining roles.
recent.activity.cutoff.days It configures the timeframe for evaluating content item popularity, influencing the recommendations provided to users based on recent activity.
sa.metric.ui.metrics_per_request This property configures the maximum number of sparkline data sets retrieved during each request in the Insights Explorer.
sa.metric.ui.sparkline_time_range This property sets the time range for the sparkline preview, determining how far back in hours the data is visualized.
sa_metric.anomaly_score_stale_interval This property sets the interval in seconds for the scheduled job that checks the staleness of anomaly scores in operational metrics.
sa_metric.scheduled_jobs_to_monitor_sys_id_list This property contains a list of sys_ids for three scheduled jobs related to Metric Intelligence monitoring, affecting how these jobs are tracked and managed.
sa_metric_kalman_filter_model_learner_period This property configures the time period for the Kalman filter model learner, impacting how frequently the model updates its parameters.
sn_agent_forecast.forecast_interval This property determines the smallest time interval for data collection and forecast generation, with valid values of 15 and 60 minutes.
sn_ai_security.analyzer_max_record_age_hours This property sets the maximum age, in hours, for AI asset invocation records considered in AI Control Tower's security metrics analysis.
sn_aia.external_agents.a2ui.enabled This property activates the A2UI protocol, allowing agents to drive UI workflows and receive enhanced visual responses from external systems.
sn_aia.internal_agents.enabled_external This property enables external AI agents to call ServiceNow AI Agents, enhancing interoperability and functionality within the platform.
sn_aia.max_scheduled_trigger_query This property sets the limit on how many records are processed by scheduled triggers, with a default value of 10.
sn_aiux_builder.aiux.enable_experience_acl_check_for_builder It determines whether ACL checks are enforced when using the AI Experience Framework Builder, impacting user access and security.
sn_ap_apm.mapping.review_genai_based_mapping_suggestions It controls whether invoice line mappings suggested by Now Assist are subject to review for accuracy.
sn_app_lens_core.lens_exclusion_table_list This property allows administrators to define a list of tables that will not show the Create with Lens and Update with Lens buttons, impacting user interaction with the ServiceNow AI Lens feature.
sn_app_lens_core.lens_inclusion_table_list This property allows administrators to define a list of tables where the Create with Lens and Update with Lens buttons will appear, applicable only when the corresponding show action property is set to false.
sn_app_lens_core.show_lens_action_on_all_ca This property specifies if lens actions are shown for all catalog items or only those defined in exclusion lists, impacting user interaction with the lens features.
sn_app_lens_core.show_lens_action_on_all_tables This property, when set to true, shows the Create with Lens and Update with Lens buttons on all tables, unless overridden by exclusion settings.
sn_build_agent.instruction.dispatch_enabled This property controls the loading behavior of instance and user skills/rules for dispatched work-item runs, impacting performance during execution.
sn_build_agent.instruction.rule.active_limit It restricts the number of active Build Agent rule instructions to a specified integer value for each applies-to bucket.
sn_build_agent.instruction.skill.active_limit This property defines the cap on active Build Agent skill instructions per applies-to bucket, impacting how many instructions can be processed simultaneously.
sn_build_agent.prompt_limit_period_days This property sets the duration in days for the rolling window used to calculate prompt limits for the Build Agent feature.
sn_build_agent.tier_override This property overrides the default tier of the Build Agent, enabling either free or paid functionality based on the selected option.
sn_build_agent.user_prompt_limit This property limits user prompts to the Build Agent LLM, ensuring controlled usage within a defined time frame.
sn_build_agent.user_prompt_limit_pdi This property limits user prompts to the Build Agent LLM, ensuring controlled interaction within a defined time frame.
sn_cda.min_admin_count It enforces a minimum count of active Content Analytics admin users to maintain system integrity and prevent administrative lockout.
sn_ci_analytics.analytic_conversation_completed_states This property specifies which states, such as 'completed' and 'faulted', are recognized as completed in the context of conversational analytics.
sn_ci_analytics.ca.processing_enabled This property enables or disables data processing for Conversational Analytics, affecting how insights are generated from conversations.
sn_cm_gen_ai.cmpro_initiate_metadata_extraction This property configures whether contract metadata extraction is initiated manually or automatically on contract repository records.
sn_cs_builder.table_show_links_enabled This property enables the visibility of a toggle that allows users to show links for each record in Table bot responses, enhancing user interaction.
sn_csm_gen_ai.ask_ai_dropdown_questions This property defines the specific drop-down questions available for users interacting with the Ask AI feature in the CSM Case Insights section.
sn_csm_ml_task.case.docintel.mlpredictor.enabled This property enables the Document Intelligence feature, allowing for enhanced processing of documents within Customer Service Management.
sn_cwf_wrkspc.ui.banner.enabled This property controls whether the AI banner is shown on forms, impacting user interaction with AI functionalities.
sn_devops.committer.score.default It defines the baseline integer score for committers, which can be adjusted to reflect their contributions in the DevOps framework.
sn_devops.committer.score.multiply.factor This property defines an integer multiplier that affects the calculation of the committer score within the DevOps framework.
sn_disco_workspace.visibility_diagnostic_utility.enabled This property enables the Virtual Agent to retrieve and display diagnostic information, improving the troubleshooting process for Discovery-related issues.
sn_dpm.enable.po.dpm This property activates Process Mining features in Digital Portfolio Management, allowing for the analysis of KPI outputs and performance adjustments.
sn_dt_va_async.glide.dynamic.translation.enable.sync This property configures the Virtual Agent to use synchronous calls for Dynamic Translation, enhancing the immediacy of translation responses.
sn_em_ai.automationRelevanceWindow This property configures the time window for evaluating automation relevance prior to alert closure, impacting how timely automation responses are triggered.
sn_em_ai.evt_mgmt.TimeRangeForAnomalyMetricsInHours It specifies the number of hours before and after an event creation time to query the metric base for anomaly metrics.
sn_entitlement.subscription_recommender_v2.is_active This property toggles between recommender v1 and v2 for generating recommendations in Service Management, impacting how custom tables and apps receive suggestions.
sn_fsm_va.days_in_past_to_debrief_task This property configures the number of past days the Virtual Agent can debrief tasks, enhancing task oversight for field service agents.
sn_hr_va.min_admin_count This property enforces a minimum of two active HR Virtual Agent admins to maintain operational integrity and prevent the removal of the last admin user.
sn_itom_integ_app.ai_activation.supported_di_list This property specifies which data input tables can be activated with AI, impacting integration capabilities within the Service Operations Workspace.
sn_itsm_va_lite.com.snc.itsm.virtualagent.portal_url It specifies the Service Portal prefix for generating links in the Virtual Agent Lite, impacting how users navigate to the portal.
sn_naa.allowed_websites It stores a comma-separated list of allowed websites for AI agents, restricting their access to only those specified.
sn_nb_action.frequency_weight This property determines the importance of frequency when calculating recommended actions, affecting which actions are prioritized for users.
sn_nb_action.recommendation_order_weight This property sets a weight value between 0 and 1 that influences the order in which recommendations are presented to users.
sn_nb_action.rule_order_weight This property determines the relative importance of rules when generating recommendations, allowing for fine-tuning of which actions are highlighted based on their assigned weights.
sn_nb_action_adv.similarity_prediction.timeout This property defines the maximum time allowed for ML prediction calls, ensuring that stalled requests are terminated to maintain performance.
sn_nlp_sentiment.glide.sentiment.transaction.timeout It defines the timeout duration in milliseconds for the Sentiment Analysis API call, defaulting to 6000 milliseconds.
sn_nlu_discovery.intent_discovery_max_classification_limit This property defines the upper limit for the number of records utilized in Intent Discovery classification, impacting the system's ability to accurately classify intents.
sn_nlu_discovery.intent_discovery_min_classification_limit This property establishes a threshold for the minimum record count necessary for accurate Intent Discovery classification, impacting the quality of intent recognition.
sn_nlu_workbench.glide.nlu.batch_test.max_import_rows This property defines the upper limit for the number of rows that can be included in a batch test import file, impacting data handling during imports.
sn_nlu_workbench.glide.nlu.batchtest.max_runs This property limits the number of execution runs for an NLU definition to a specified integer value, enhancing control over batch testing processes.
sn_nlu_workbench.glide.nlu.conflict.critical_threshold This property defines the critical threshold value for detecting conflicts in NLU processing, influencing how the system responds to ambiguous inputs.
sn_nlu_workbench.glide.nlu.conflict.moderate_threshold This property specifies the threshold value for identifying moderate conflicts in NLU processing, influencing how the system responds to potential ambiguities.
sn_nlu_workbench.glide.nlu.migration_completed It serves as a boolean flag to signify the completion status of the NLU Model group migration process.
sn_nlu_workbench.glide.nlu.optimize.min_labeled_data It sets the minimum count of labeled utterances required for effective model tuning in the NLU Workbench.
sn_nlu_workbench.glide.nlu.performance.min_clustering_records It defines the threshold of records necessary for conducting performance analysis in the NLU Workbench.
sn_now_analytics.app_id This property defines the unique identifier for the application record used in Now Experience Analytics, linking it to the specified application table.
sn_now_analytics.app_table This property defines the table name for application records in the Next Experience Analytics, impacting how data is collected and analyzed.
sn_now_analytics.restricted.uxfweb This property specifies which UX Application IDs are excluded from usage tracking, allowing for tailored analytics and reporting.
sn_now_assist_cr.og.question_threshold This property limits the number of questions in the Premium chat interface, ensuring that conversations remain manageable and effective for catalog items.
sn_now_record_form.recommendations_enabled This property enables or disables the display of recommendations within the Now Record Form, impacting how users interact with the form.
sn_nowassist_admin.enable_va_modality This boolean property controls whether the virtual agent modality is active in the Now Assist Admin Console, impacting how users engage with virtual agents.
sn_nowassist_admin.ignoreFulfillerSubscriptionCheck This boolean property, when set to true, allows fulfillers to operate without being subject to subscription checks, facilitating smoother workflows.
sn_nowassist_admin.legacy_nap_customer This boolean property enables or disables the legacy NAP features within the AI Admin Hub, affecting how natural language processing is handled.
sn_nowassist_va.nass_notification_enabled This property controls the visibility of nonactionable Virtual Agent notifications, allowing users to see updates directly on their portal home page.
sn_nowassist_va.nass_show_end_flow_button This property enables or disables the display of the end flow button, affecting user interaction during flow completion.
sn_nowassist_va.now.assist.generic.ticket This property specifies the sys_id of the record producer that is triggered when a generic ticket is requested through the Virtual Agent.
sn_nowassist_va.show_ai_native_experience This property activates the AI native experience, allowing agents to utilize advanced visual responses and structured interactions with external systems.
sn_pdf_table_bldr.ml_pipeline_name This property defines the name of the machine learning pipeline utilized by the PDF Extractor application for document processing.
sn_pdf_table_bldr.ml_pipeline_workflow_version This property sets the version number for the machine learning pipeline workflow in the PDF Extractor application, affecting how PDF data is processed.
sn_query_gen.default_source_type This property specifies whether the AI Data Explorer should use 'table' or 'indicator' data when the source is not clearly defined, defaulting to 'table'.
sn_query_gen.hidden_insights.groupby.min_fields This property defines the minimum number of group-by fields required for AI Data Explorer to perform extended analysis, influencing how data is aggregated.
sn_sd.enable_process_insights This property enables or disables the display of process improvement insights on the success dashboard, impacting how performance data is presented to users.
sn_sgc_central.aict_ui_inline_playbook_enabled This property determines whether playbooks open inline in the AICT UI or in a new browser tab based on its true or false value.
sn_spend_gen_ai.spend_category_confidence_score_threshold This property defines the minimum confidence score required for the system to automatically predict spend categories, influencing the accuracy of category assignments.
sn_team_perf.kpi_group.max_parent_kpis It restricts the number of parent KPIs in a KPI group to ensure effective performance tracking and reporting.
sn_team_perf.kpi_group.max_supporting_kpis It defines the upper limit for supporting KPIs linked to a parent KPI, ensuring effective organization and management of performance metrics.
sn_topic_recommend.aggregate_recommendation_limit It limits the number of displayed recommendations in the aggregate view, enhancing the clarity and relevance of suggestions presented to users.
sn_topic_recommend.intent_limit This property limits the number of recommended user intents to a specified integer value, enhancing the relevance of suggestions in the Virtual Agent.
sn_topic_recommend.intent_report_resolved_states This property specifies the valid states that intent reports can have to be marked as resolved, impacting how reports are processed in the system.
sn_try_build_agent.disable.stream.by.provider This property allows administrators to disable streaming for specified provider IDs in the Build Agent application, impacting how data is processed.
sn_try_build_agent.error_recovery.config This property contains a JSON object that configures error recovery mechanisms, including message recovery strategies and exponential backoff delays for specific error patterns.
sn_try_build_agent.prompt_limit_period_days This property defines the duration in days for the rolling window used to calculate prompt limits in the Build Agent application.
sn_try_build_agent.tool.execution.timeouts This property sets execution time limits for tools used by the Build Agent, ensuring that operations complete within defined timeframes.
sn_try_build_agent.user_prompt_limit This property defines the cap on user prompts to the Build Agent LLM, influencing how interactions are managed within a given time frame.
sn_try_build_agent.user_prompt_limit_pdi This property defines the cap on user prompts to the Build Agent LLM in sub-production, ensuring controlled usage within a defined timeframe.
sn_uni_req_ml.auto_categorization This property activates the auto categorization feature for universal requests, allowing the system to classify requests without manual input.
sn_uni_req_ml.auto_categorization.min_confidence It determines the threshold of confidence required for auto categorization suggestions to be accepted in the Universal Request application.
sn_uni_req_ml.similar_closed_universal_request It activates the feature that suggests similar closed Universal Requests to users, improving the relevance of recommendations.
sn_upgrade_mgmt.troubleshooting_agent_timeout This property configures the maximum wait time for AI analysis in the Upgrade Console, influencing how long the system will wait before timing out.
sn_upgrade_mgmt.troubleshooting_agent_triage_parallel_count It sets the maximum number of parallel calls to the AI agent for triaging test results in the upgrade console, influencing the speed of the triage process.
sn_uxc_gen_ai.active_records_enabled_tables This property configures the tables that the agentic workflow will analyze for open tasks, specifically allowing incidents to be included in the analysis.
sn_va_fb_messenger.max_quick_replies This property determines the limit on the number of quick replies shown to users in Facebook Messenger, impacting how users interact with the bot.
sn_va_line.max.carousel.cards This property defines the limit on the number of images shown in a carousel, defaulting to 10, and affects how users navigate through visual content.
sn_va_line.max.picker.choices This property determines the default number of quick reply options shown to users in the LINE application, impacting how choices are presented during interactions.
sn_va_slack.enable_slack_override This property allows administrators to enable or disable the Override button for Slack tenant associations, affecting how integrations are managed.
sn_va_teams.auto_link_email_attribute This property specifies the table and column from which the email ID is retrieved for auto-linking user profiles, allowing for customization of the linking process.
sn_va_teams.enable_va_override This property enables the Override button for changing tenant associations in the Virtual Agent integration with Microsoft Teams.
sn_va_teams.hide_teams_response_message This property controls the visibility of the confirmation banner in Microsoft Teams after a response is sent to the Virtual Agent.
sn_va_teams.picker_char_limit This property configures the character limit for messages in the Virtual Agent, impacting how messages are displayed and managed during conversations.
sn_va_web_client.focus_on_input_text_box This property determines whether the input text box is automatically focused when the web client chat is opened, improving usability for users who frequently engage in chat interactions.
ua.platform.analytics.check.bypass This property enables bypassing the registration check for custom metrics, facilitating the use of older analytics configurations.
va.adapter.max.processing.time This property defines the maximum time allowed to disqualify a message for processing, ensuring that message sequencing is maintained for adapters.
watson_assistant.alternate_intents When set to true, this property enables the return of all matching intents from the Watson Assistant, improving the accuracy of responses.