Hello World with Pro Config
Key Concepts In This Chapter: - Render Types - Inputs/Outputs
"Hello World" Example
We start by building a simple bot that can render and output “Hello World” with Pro Config. Here is what the config looks like:
For better readability of this code block, you could copy and paste this into any code editor app like VS Code and select JSON as its format.
Above is the syntax with all the available fields for a Pro Config JSON file. Using the code above should allow you to do the following interaction with your bot.
In Pro Config, each Automata
can be defined using a JSON file. An Automata
has a unified id
and several states as its children. In the simple example above, the Automata
has only one state called home_page_state
which simply outputs an intro message. It also has a button called Start
which can jump to home_page_state
itself like an iteration (we will get to more complicated transitions in the future.)
Automata and Atomic States
AtomicState
An atomic state is a state executing real tasks, which usually are small functional modules, such as LLM module and TTS module.
These are usually embedded as a part of a bigger automata.
Automata
Automata
shares many fields with AtomicState
. They differ by the following:
AtomicState
has the lack ofproperties.is_chat_allowed
andtasks
fields.The different special events it can handle.
initial
,states
andcontext
fields.
Put in simpler words, one Automata
can contain different AtomicState
. Your Pro Config should be of the type Automata
and tasks should be AtomicState
.
For more information about the difference between AtomicState and Automata, please refer to the dev doc.
Defining Inputs/Outputs
The states of an Automata
is a dictionary of AtomicState
. An AtomicState
take inputs from the user, process some tasks, return outputs, and render some content (such as text/image/button). In the example above, we rendered a text message and a button.
We will now demonstrate how to add inputs
and outputs
to an Automata
In the example above, we are doing the following:
Lines 7-18: Gathering inputs
intro_message
andtts_widget_url
from the user. The type istext
which means that the user will be prompted to input data (unlikeIM
where user needs to type in the chat to provide an input). If theuser_input
property isfalse
, the user will not be prompted to input via a form, and a new variable with the value ofdefault_value
will be automatically generated.Lines 19-22: The
output
section in pro config runs after all the tasks are completed for the automata or atomic state. In this section, you can create or manipulate variables. This is also the place you can manipulate any variables you create incontext
. If you want to store output for the task performed, this is the way. We use an expression wrapped by double curly braces{{expression}}
to assign the value of an output variable. The expression should be written in JavaScript, adhering to the ECMAScript 5.1 standard, as we currently support only this version. In the example, we are using this section to save the inputs to variables.
Now, you have learned how to build a basic app with inputs and outputs. In the next chapter, we will learn how to build a workflow to achieve more complicated functionalities empowered by AI Modules.
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