The collaborative platform to design and build chat or voice assistants.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Voiceflow API provides programmatic access to Voiceflow's conversational AI platform, enabling users to create, update, and deploy voice and chat applications. Through Pipedream, developers can automate workflows involving Voiceflow projects, such as syncing conversation designs with external tools, triggering customer support messages based on user interactions, or compiling analytics from user sessions.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
voice: {
type: "app",
app: "voice",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.voiceflow.com/v3alpha/knowledge-base/faqs`,
headers: {
"Accept": `application/json`,
"Authorization": `${this.voice.$auth.api_key}`,
},
})
},
})
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:
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}}