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Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Rasa is an open source artificial intelligence platform for building contextual
chatbots and assistants. With Rasa's open source API, you can build a variety
of conversational AI applications quickly and easily.
Rasa has a wide range of capabilities that can be used to create intelligent,
scalable, and secure conversational AI applications. Using the Rasa API, you
can design and create:
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
rasa: {
type: "app",
app: "rasa",
}
},
async run({steps, $}) {
const data = {
"key": `${this.rasa.$auth.key}`,
}
return await axios($, {
method: "post",
url: `https://api.rasa.io/v1/tokens`,
headers: {
"accept": `application/json`,
"Content-type": `application/json`,
},
auth: {
username: `${this.rasa.$auth.username}`,
password: `${this.rasa.$auth.password}`,
},
data,
})
},
})
Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.
By using Pipedream, you can easily:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}