Integrate the Sapling.ai API with the Python API

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

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Popular Sapling.ai and Python Actions#

Accept Completion with the Sapling.ai API

Have Sapling adapt its system over time. Each suggested completion has a completion UUID. You can pass this information back to Sapling to indicate the completion suggestion was helpful. See the documentation here.

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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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Accept Edit with the Sapling.ai API

Have Sapling adapt its system over time. Each suggested edit has an edit UUID. You can pass this information back to Sapling to indicate the edit suggestion was helpful. See the documentation here.

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Reject Edit with the Sapling.ai API

Have Sapling not recommend the same edit anymore. Each suggested edit has an edit UUID. You can pass this information back to Sapling to indicate the edit suggestion was not helpful. See the documentation here.

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Request Completion with the Sapling.ai API

Provides predictions of the next few characters or words given the current context in a particular editable. The predictions are based on the previous text. See the documentation here.

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Overview of Sapling.ai #

Sapling.ai offers an AI-driven writing assistant that can help you write better and faster by providing grammar and style suggestions. With its API, you can automate text analysis and correction processes within Pipedream workflows. By integrating Sapling.ai's API in Pipedream, you can create powerful automations that enhance writing quality across various applications, from customer support messages to content creation.

Connect Sapling.ai #

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sapling_ai: {
      type: "app",
      app: "sapling_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.sapling.ai/api/v1/team`,
      params: {
        key: `${this.sapling_ai.$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}}

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