ChatFly
ChatFly assists businesses in creating, testing, launching, and managing. AI Chatbots for various use cases or channels - at scale.
Integrate the ChatFly API with the Python API
Setup the ChatFly API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate ChatFly and Python remarkably fast. Free for developers.
Popular ChatFly and Python Actions#
Dispatches a text message to a specified group or individual in Chatfly.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of ChatFly#
The ChatFly API allows developers to integrate chat functionalities into their applications, making it easier to build custom chat solutions or enhance existing communication systems. On Pipedream, leveraging the ChatFly API can automate interactions, analyze chat data, or sync with other services to create a more dynamic user experience.
Connect ChatFly#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
chatfly: {
type: "app",
app: "chatfly",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://backend.chatfly.co/api/bot`,
headers: {
"CHATFLY-API-KEY": `${this.chatfly.$auth.api_key}`,
},
})
},
})
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}}