Integrate the DocsBot AI API with the Python API

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

Popular DocsBot AI and Python Actions#

Ask Question with the DocsBot AI API

Ask a question to a specific bot in a specific team. See the documentation

Try it

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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Create Source with the DocsBot AI API

Create a new source for a bot. See the documentation

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Upload Source File with the DocsBot AI API

Upload a file to be used as a source. See the documentation

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Overview of DocsBot AI#

DocsBot AI API transforms natural language into structured data, enabling the extraction and analysis of information from unstructured text. In Pipedream, you can leverage this API to automate workflows that require processing of text for sentiment analysis, summarization, or data extraction. With Pipedream's serverless platform, these capabilities can be integrated into diverse systems without writing complex infrastructure code.

Connect DocsBot AI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    docsbot_ai: {
      type: "app",
      app: "docsbot_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://docsbot.ai/api/teams/`,
      headers: {
        Authorization: `Bearer ${this.docsbot_ai.$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}}