9 releases
0.4.0 |
|
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0.3.2 | May 4, 2020 |
0.3.1 | Apr 24, 2020 |
0.2.3 | Apr 16, 2020 |
0.1.1 | Mar 19, 2020 |
#688 in Text processing
30 downloads per month
365KB
10K
SLoC
CSML Language
Introduction
The CSML (Conversational Standard Meta Language) is a Domain-Specific Language developed for creating conversational experiences easily.
The purpose of this language is to simplify the creation and maintenance of rich conversational interactions between humans and machines. With a very expressive and text-only syntax, CSML flows are easy to understand, making it easy to deploy and maintain conversational agents. The CSML handles short and long-term memory slots, metadata injection, and connecting to any third party API or injecting arbitrary code in any programming language thanks to its powerful runtime APIs.
By using the CSML language, any developer can integrate arbitrarily complex conversational agents on any channel (Facebook Messenger, Slack, Facebook Workplace, Microsoft Teams, custom webapp, ...) and make any bot available to any end user. The CSML platform comes with a large number of channel integrations that work out of the box, but developers are free to add new custom integrations by using the CSML interfaces.
Functional diagram
Examples
Hello World
cargo run --example hello_world
Event
cargo run --example event
Metadata
cargo run --example metadata
Memory
cargo run --example memory
Quick Start run it yourself
requires Rust version 1.41.
use std::fs;
use csmlinterpreter::{data::ContextJson, interpret};
fn interpret_flow(flow: &str, step_name: &str) {
let event = Event::text("hello");
let context = ContextJson::new();
dbg!(interpret(
flow, step_name, context, &event, None
));
}
fn main() {
// add a valid path to a csml file
let flow = fs::read_to_string("./hello_world.csml").unwrap();
interpret_flow(&flow, "start");
}
Additional Information
Getting Help
- Slack - Direct questions about using the language.
- CSML Documentation - Getting started.
Information
- Roadmap - Upcoming new features.
- Release notes - Stay up to date.
Play with the language
- Studio - Create and deploy your chatbot in a matter of minutes.
Dependencies
~14–23MB
~379K SLoC