Botpress
Automate complex conversations, tasks, and workflows — reliably.
Integrate the Botpress API with the Python API
Setup the Botpress API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Botpress and Python remarkably fast. Free for developers.
Popular Botpress and Python Triggers#
Emit new event from bot is created. See the documentation
Popular Botpress and Python Actions#
Adds a participant to a conversation. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Botpress#
Botpress is a powerful, open-source chatbot platform that enables developers to create intelligent, conversational bots. With its natural language understanding (NLU) capabilities, users can design bots that can interpret human language and respond appropriately. Utilizing the Botpress API on Pipedream allows you to automate interactions, analyze chat data, and integrate with various other services to enhance the functionality of your bots.
Connect Botpress#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
botpress: {
type: "app",
app: "botpress",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.botpress.cloud/v1/chat/users`,
headers: {
Authorization: `Bearer ${this.botpress.$auth.identity_token}`,
"Content-Type": `application/json`,
"x-bot-id": `${this.botpress.$auth.bot_id}`,
},
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
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}}