CSML (Conversational Standard Meta Language) is an open-source programming language dedicated to building chatbots.

It acts as a linguistic/syntactic abstraction layer, designed for humans who want to let other humans interact with any machine, in any setting. The syntax is designed to be learned in a matter of minutes, but also scales to any complexity of chatbot.

CSML handles seamlessy and automatically short and long-term memory slots, metadata injection, and can be plugged in with any external system by means of channel integrations or custom APIs, as well as consume scripts in any programming languages using built-in parallelized runtimes.

To learn more about CSML, you can read this article.

Build your chatbot with CSML Studio

The easiest way to develop CSML chatbots is by using the CSML development studio, using a sample bot available in your library or by creating your own.

Each bot gives you a full access to the CSML framework - a set of specialized tools to make and customize your chatbots : code editor, chatbox, apps, functions and files library, analytics and channels.

Create your own conversational experiences

You can create your own conversations by modifying an existing flow or creating your own.

A flow is a CSML file which contains several steps to be followed during a conversation with a user. The first instructions have to be placed in the start step, then you can move from a step to the next one using goto stepname, and finish the current conversation using goto end. Each step contains instructions on how to handle the interactions within the step: what to say, what to remember, where to go...

For the bot to say a sentence, you just need to use the keyword say followed by the type of message you want to send.The keyword say allows:

  • to display a message: text, questions, urls, components (image, video, audio, buttons…)

  • to simulate behaviors, such as waiting time (Wait) or message composition (Typing)

Manage interactions

Like a human, a chatbot is supposed to understand and react to messages sent by the user.

In a conversational logic, CSML allows the chatbot to wait for a user answer using the keyword hold, and interpret the expected user input (called event) to trigger an action.

Here is an example of a simple interaction where the bot is asking if the user likes guitar and waiting for two specific answers in order to trigger actions.

Memory and local variables

Memory is essential in the CSML logic. When two people are chatting, they constantly memorize and update information to be reused in future discussions. CSML provides two types of variables: local variables, with a very short life cycle, and persistent variables, called memories.

The memories are assigned as followed use the keyword remember and can be reused in every step or in a future conversation, while the local variables are executed within one step, assigned with the use keyword.

You can output any variable into a string value with the double curly braces.

Connect apps and execute your own functions

You can select an existing integration in the apps library or add your own function coded in any language. Find a few examples in our GitHub repository and how to use functions in our documentation.

Once your function is uploaded, you can test it and call it in a CSML flow. Watch an example below or read more about functions and apps here!

Deploy your chatbot

Once your chatbot is ready to chat with your users, you can select the channel you want to connect on. For example, using the CSML Studio you can connect your bots to Slack, Messenger, Whatsapp and other channels, or use the CSML Client API to receive requests.

Ready to experience CSML?