Vida

AI phone agents for business

Integrate the Vida API with the Python API

Setup the Vida API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Vida and Python remarkably fast. Free for developers.

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Run Python Code with Python API on New Conversation (Instant) from Vida API
Vida + Python
 
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Run Python Code with Python API on New Incoming Conversation (Instant) from Vida API
Vida + Python
 
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New Conversation (Instant) from the Vida API

Emit new events after completion of any communication handled by your Vida AI agent, be it a call, text, or email.

 
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New Incoming Conversation (Instant) from the Vida API

Emit new event when an incoming call or message is received before answered by an agent. Useful for providing context about the caller or messenger to your agent before response.

 
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Add Context with the Vida API

Uploads additional context for a conversation with your AI agent. Helpful when integrating data from external CRMs. See the documentation

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Connect Vida

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    vida: {
      type: "app",
      app: "vida",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.vida.dev/api/v2/listAccounts`,
      params: {
        token: `${this.vida.$auth.api_token}`,
      },
    })
  },
})

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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo