Creating conversation paths

Typically, Amazon Lex V2 manages the flow of conversations with your users. For simple bots, the default flow can be enough to create a good experience for your users. However, for more complex bots, you might want to take control of the conversation and direct the flow into more complex paths.

For example, in a bot that books car rentals, you might not rent to younger drivers. In this case, you can create a condition that checks to see if a driver is below a certain age, and if so, jump to the closing response.

To design such interactions, you can configure the next step at each point in the conversation, evaluate conditions, set values and invoke code hooks.

Conditional branching helps you create paths for your users through complex interactions. You can use a conditional branch at any point that you pass control of the conversation to your bot. For example, you can create a condition before the bot elicits the first slot value, you can create a condition between eliciting each slot value, or you can create a condition before the bot closes the conversation. For a list of the places that you can add conditions, see Adding intents.

When you create a bot, Amazon Lex V2 creates a default path through the conversation based on the priority order of the slots. To customize the conversation path, you can modify the next step at any point in the conversation. For more information, see Configure next steps in the conversation.

To create alternative paths based on conditions, you can use a conditional branch at any point in the conversation. For example, you can create a condition before the bot elicits the first slot value. You can create a condition between eliciting each slot value, or you can create a condition before the bot closes the conversation. For a list of the places allowing you to add conditions, see Add conditions to branch conversations.

You can set conditions based on slot values, session attributes, the input mode and input transcript, or a response from Amazon Kendra.

You can set slot and session attribute values at each point in the conversation. For more information, see Set values during the conversation.

You can also set the next action to dialog code hook to run a Lambda function. For more information, see Invoke dialog code hook.

The following image shows the creation of a path for a slot in the console. In this example, Amazon Lex V2 will elicit the slot "age". If the value of the slot is less than 24, Amazon Lex V2 jumps to the closing response, otherwise Amazon Lex will follow the default path.