Build what's next with the OGs of telecom. Video, voice, and messaging APIs from the source.
Creates a video conference on SignalWire. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Validates a given phone number. Can optionally include carrier and caller ID information. See the documentation
The SignalWire API provides powerful communication capabilities, allowing developers to send and receive text messages, make voice calls, and manage telephony features programmatically. On Pipedream, you can leverage these functionalities to create serverless workflows that integrate with numerous apps and services. With Pipedream's easy-to-use interface and robust connectivity options, you can build automated processes that trigger from various events and perform actions using SignalWire without managing infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
signalwire: {
type: "app",
app: "signalwire",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.signalwire.$auth.domain}.signalwire.com/api/relay/rest/number_groups`,
headers: {
"Accept": `application/json`,
},
auth: {
username: `${this.signalwire.$auth.project_id}`,
password: `${this.signalwire.$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}}