Integrate the Perplexity API with the Python API

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

Popular Perplexity and Python Actions#

Chat Completions with the Perplexity API

Generates a model's response for the given chat conversation. 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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Overview of Perplexity#

The Perplexity API offers advanced natural language processing capabilities, enabling users to generate answers, summaries, and insights from texts. Leveraging this API on Pipedream allows for the automation of content analysis, intelligent alert systems, and dynamic data enrichment, integrating seamlessly with various data sources and services for real-time processing.

Connect Perplexity#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    perplexity: {
      type: "app",
      app: "perplexity",
    }
  },
  async run({steps, $}) {
    const data = {
      "model": "mistral-7b-instruct",
      "messages": [
        {
          "role": "system",
          "content": "Be precise and concise."
        },
        {
          "role": "user",
          "content": "Can you tell me about the integration platform called Pipedream?"
        }
      ]
    }
    return await axios($, {
      method: "post",
      url: `https://api.perplexity.ai/chat/completions`,
      headers: {
        Authorization: `Bearer ${this.perplexity.$auth.api_key}`,
        "accept": `application/json`,
      },
      data,
    })
  },
})

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}}