Integrate the KodaGPT API with the Python API

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

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Popular KodaGPT and Python Actions#

Semantic Search with the KodaGPT API

Perform a semantic search within chatbot data 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 KodaGPT#

The KodaGPT API offers a versatile platform for integrating advanced language processing into your applications, enabling the automation of text-based tasks and enhancing user interactions through natural language understanding. With its capabilities, developers can create dynamic content, automate responses, and analyze text on-the-fly. Leveraging Pipedream's robust integration platform, users can connect KodaGPT with other services to design complex workflows that simplify operations, improve efficiency, and deliver personalized experiences.

Connect KodaGPT#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    kodagpt: {
      type: "app",
      app: "kodagpt",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://kodagpt.com.br/api/v1/embed/${this.kodagpt.$auth.chatbot_id}/What is Pipedream?`,
      headers: {
        "Content-Type": `application/json`,
        "API_KEY": `${this.kodagpt.$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}}

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