Flows - Cognigy Documentation

Updated in 4.80 A Flow is a conversational structure consisting of Nodes that defines how AI Agents interact with users. With Flows, you can customize the behavior of AI Agents and design tailored and dynamic conversational experiences. AI Agents can access the Input, Context, and Profile objects from the Flow to provide context-aware responses. Flows include:

Nodes — the Flow’s building blocks.
Intents — user input mapping with natural language understanding (NLU).
Lexicons — keyphrases to improve Intent recognition.
Locales — language settings for a multilingual AI Agent.
Slot Fillers — automatic information extraction from user input.

You can also connect different Flows and switch between them with a Go To Node to create more complex conversational experiences.

Working with Flows

GUI
API
CLI

You can create, clone, and delete Flows in Build > Flows. Also, you can export Flows as a Package, copy their Reference ID. To build and configure Flows, use the Flow editor.You can create Flows using Generative AI to automatically generate Nodes with predefined configurations and content. For this approach, you need to add a large language model (LLM).To test Flows, click

and use the Interaction Panel.

Settings

Besides the Nodes, you can customize Flows further on the Settings tab of the Flow editor. For example, you can add Yes/No logic and personalized confirmation responses. Also, you can fine-tune the AI Agent’s confidence in understanding Intents and activate recognition of specific details, including age, date, and email addresses, to ensure more accurate responses.

General Flow Logic

Parameter	Description
Yes/No logic	Add a specific Yes/No logic within your Flow to confirm and reject an Intent or the Yes/No type in Question Nodes.
Positive confirmation words	Add customized responses to confirm an Intent and Question Nodes.
Negative confirmation words	Add customized responses to reject an Intent and Question Nodes.
Continue main Flow after attached Flow	Enable this setting to continue the main Flow after an attached Flow has been executed. Disabled by default.
Continue Flow after Default reply	Enable this setting to continue executing the Flow logic after a default reply has been delivered. Disabled by default.
Continue Flow after negative confirmation	Enable this setting to continue the Flow logic after a negative response to an Intent confirmation sentence. Disabled by default.
Pass Default Reply into Flow	Enable this setting to have the AI Agent store the default reply in the input instead of using it directly. This setting allows you to use the reply within the Flow logic. Disabled by default.
Include Default Reply in NLU Training	Enable this setting to include default replies in NLU training. The default replies serve as example sentences for matching Intents. You can also configure this setting individually for each Intent. Enabled by default.

Intent Mapper

Parameter	Description
Attached Flow Intent Mapping Priority	Jointly Map Main and Attached Flow — treats Main and Attached Flow Intents as if they were a single Intent collection, finding the best matching Intent and executing the corresponding Flow. Map Main Flow first — maps the Main Flow Intents separately. If no Intent is found in the Main Flow, then the Attached Flow is mapped. Map Attached Flow first — maps the Attached Flow Intents separately. If no Intent is found in the Attached Flow, then the Main Flow is mapped.
Implicit Slot Parsing	Determine whether Slots in NLU example sentences should be parsed implicitly or if only Slot annotations should be used for training: Disabled — only use slot annotations — use only Slot annotations. Full - Parse both System and Lexicon slots implicitly — parse both system- and user-defined Slots implicitly. System Slots - No Lexicon Slots — parse only system-defined Slots implicitly. All Slot annotations will be considered. Lexicon Slots - No System Slots — Parse only user-defined Slots implicitly. All Slot annotations will be considered.

Thresholds

Parameter	Description
Intent threshold	Determine the level of confidence required for the AI Agent to understand what the user is trying to communicate. The level of confidence accepts values ranging from 0 to 1.
Reconfirmation Threshold	Determine a score from which an Intent is considered confirmed or marked for reconfirmation if a reconfirmation sentence is set. By default, the value is `0.2`. Note that the confidence threshold has no effect unless the Intent uses confirmation sentences. The Reconfirmation Threshold is the lower confidence threshold. You must set it in addition to the Confidence Threshold. Intent scores above the reconfirmation threshold are confirmed or marked for reconfirmation.
Confidence Threshold	Determine a score from which an Intent is considered confirmed if a confirmation sentence is set. By default, the value is `0.4`.

Attached Flows specific settings

Parameter	Description
Use Thresholds of the attached Flows	Determine whether the thresholds configured in the attached Flows are applied. Enabled by default.
Use “Continue Flow after Default Reply” setting of the attached Flows	Determine if the conversation continues after giving a default reply in the attached Flows. Enabled by default.
Use “Pass Default Reply into Flow” of the attached Flows	Determine if the default reply from attached Flows affects the ongoing conversation. Enabled by default.
Use “Implicit Slot Parsing” setting of the attached flows	Determine if the system should try to understand Slot values even if not directly mentioned. Disabled by default.

Lexicon Slots

Parameter	Description
Parse Lexicon Slots with submatches	Enable the parsing of Lexicon Slots with submatches. This setting allows more detailed understanding of user input by identifying not just the primary match but also submatches within the Lexicon. This feature can improve accuracy in language understanding tasks, especially when dealing with complex or ambiguous phrases. Disabled by default.

System Slots

Parameter	Description
Enable Age Slots	Enable the recognition of age-related terms. For more information, read System-Defined Slots.
Enable Date Slots	Enable the recognition of date-related terms. For more information, read System-Defined Slots.
Enable Distance Slots	Enable the recognition of distance-related terms. For more information, read System-Defined Slots.
Enable Duration Slots	Enable the recognition of duration-related terms. For more information, read System-Defined Slots.
Enable Email Slots	Enable the recognition of email addresses. For more information, read System-Defined Slots.
Enable Money Slots	Enable the recognition of monetary values. For more information, read System-Defined Slots.
Enable Number Slots	Enable the recognition of numerical values. For more information, read System-Defined Slots.
Enable Percentage Slots	Enable the recognition of percentage values. For more information, read System-Defined Slots.
Enable Temperature Slots	Enable the recognition of temperature values. For more information, read System-Defined Slots.
Enable URL Slots	Enable the recognition of URLs. For more information, read System-Defined Slots.

More Information

Last modified on June 17, 2026