← Sapling.ai

Accept Completion with Sapling.ai API

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Accept Completion with the Sapling.ai API
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Getting Started

Create a workflow to Accept Completion with the Sapling.ai API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Configure the Accept Completion action
    1. Connect your Sapling.ai account
    2. Configure Completion ID
    3. Optional- Configure Session ID
    4. Configure Query
    5. Configure Completion
  2. Select a trigger to run your workflow on HTTP requests, schedules or app events
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger

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Details

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Accept Completion on Sapling.ai
Description: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](https://sapling.ai/docs/api/autocomplete#accept-completion-post).
Version:0.0.1
Key:sapling_ai-accept-completion

Code

import app from "../../sapling_ai.app.mjs";
import utils from "../../common/utils.mjs";

export default {
  key: "sapling_ai-accept-completion",
  name: "Accept Completion",
  description: "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](https://sapling.ai/docs/api/autocomplete#accept-completion-post).",
  type: "action",
  version: "0.0.1",
  props: {
    app,
    completionId: {
      propDefinition: [
        app,
        "completionId",
      ],
    },
    sessionId: {
      optional: true,
      propDefinition: [
        app,
        "sessionId",
      ],
    },
    query: {
      propDefinition: [
        app,
        "query",
      ],
    },
    completion: {
      type: "string",
      label: "Completion",
      description: "The completion text to accept.",
    },
  },
  methods: {
    acceptCompletion({
      completionId, ...args
    } = {}) {
      return this.app.post({
        path: `/complete/${completionId}/accept`,
        ...args,
      });
    },
  },
  async run({ $: step }) {
    const {
      completionId,
      sessionId: id,
      query,
      completion,
    } = this;

    const sessionId =  utils.generateSessionId(id);

    const response = await this.acceptCompletion({
      step,
      completionId,
      data: {
        session_id: sessionId,
        context: {
          query,
          completion,
        },
      },
    });

    step.export("$summary", `Successfully accepted completion with ID ${completionId}.`);

    return {
      ...response,
      sessionId,
    };
  },
};

Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
Sapling.ai appappThis component uses the Sapling.ai app.
Completion IDcompletionIdstring

ID of completion or hash returned from a Request Completion.

Session IDsessionIdstring

Unique name or UUID of document or portion of text that is being checked.

Queryquerystring

Text that should be autocompleted.

Completioncompletionstring

The completion text to accept.

Authentication

Sapling.ai uses API keys for authentication. When you connect your Sapling.ai account, Pipedream securely stores the keys so you can easily authenticate to Sapling.ai APIs in both code and no-code steps.

To retrieve your API Key,

  • Navigate to your Sapling.AI account and sign in
  • Go to “User” > “Settings”> “API”

About Sapling.ai

Language models for enterprise applications.

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