Add Utterance with wit.ai API on New Completed Call from Plivo API

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New Completed Call from the Plivo API

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Add Utterance with the wit.ai API

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Getting Started#

This integration creates a workflow with a Plivo trigger and wit.ai action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Completed Call trigger
1. Connect your Plivo account
2. Configure Polling schedule
Configure the Add Utterance action
1. Connect your wit.ai account
2. Configure Text
3. Optional- Configure Out of Scope
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are 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.

Trigger#

New Completed Call on Plivo

Description:Emit new event when a call is completed. [See the docs](https://www.plivo.com/docs/voice/api/call#retrieve-all-calls).

Version:0.0.1

Key:plivo-new-completed-call

View on GitHub

Plivo Overview#

The Plivo API taps into the power of cloud communication, allowing you to programmatically send SMS messages, make voice calls, and manage user verifications among other telephony functions. With Pipedream's serverless platform, you can easily integrate Plivo into workflows that automate these communication tasks, react to incoming messages or calls, and connect with numerous other apps for comprehensive automation solutions.

Trigger Code#

import common from "../common/polling.mjs";
import constants from "../../common/constants.mjs";

export default {
  ...common,
  key: "plivo-new-completed-call",
  name: "New Completed Call",
  description: "Emit new event when a call is completed. [See the docs](https://www.plivo.com/docs/voice/api/call#retrieve-all-calls).",
  type: "source",
  version: "0.0.1",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getResourcesFn() {
      return this.app.listCalls;
    },
    getResourcesFnArgs() {
      const lastEndTime = this.getLastEndTime();
      if (lastEndTime) {
        return {
          limit: constants.DEFAULT_LIMIT,
          end_time__gt: lastEndTime,
        };
      }
      return {
        limit: constants.DEFAULT_LIMIT,
      };
    },
    generateMeta(resource) {
      return {
        id: resource.callUuid,
        ts: Date.parse(resource.initiationTime),
        summary: `New Call ID ${resource.callUuid}`,
      };
    },
  },
};

Trigger 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.

Label	Prop	Type	Description
Plivo	`app`	`app`	This component uses the Plivo app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling schedule	`timer`	`$.interface.timer`	How often to poll the Plivo API

Trigger Authentication#

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

All requests to Plivo API are authenticated with BasicAuth using your AUTH ID and AUTH TOKEN. Your Plivo AUTH ID and AUTH TOKEN can be found when you login to your dashboard

About Plivo#

SMS API and Voice API platform

Action#

Add Utterance on wit.ai

Description:Add a sample utterance to train your app with an intent. [See the documentation](https://wit.ai/docs/http/20240304#post__utterances).

Version:0.0.1

Key:wit_ai-add-utterance

View on GitHub

wit.ai Overview#

Wit.ai API enables your apps to process natural language and understand human commands contextually. With it, you can build conversational interfaces, decipher intent from text or voice inputs, and train your model to improve recognition. Pipedream provides a seamless platform to trigger workflows using this API, allowing the automation of tasks based on language cues. It's perfect for crafting custom bots, enhancing customer service, or streamlining internal operations by interpreting human requests and taking action accordingly.

Action Code#

import app from "../../wit_ai.app.mjs";
import utils from "../../common/utils.mjs";
import constants from "../../common/constants.mjs";

export default {
  key: "wit_ai-add-utterance",
  name: "Add Utterance",
  description: "Add a sample utterance to train your app with an intent. [See the documentation](https://wit.ai/docs/http/20240304#post__utterances).",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    text: {
      type: "string",
      label: "Text",
      description: "The text (sentence) you want your app to understand.",
    },
    outOfScope: {
      type: "boolean",
      label: "Out of Scope",
      description: "To train your app to recognize utterances that it should not handle set this to `true`.",
      optional: true,
      default: false,
      reloadProps: true,
    },
  },
  async additionalProps() {
    if (this.outOfScope === true) {
      return {};
    }

    const data = await this.app.listIntents();
    const intents = data.map(({ name }) => name);
    const intentOptions = intents.concat(Object.values(constants.BUILTIN_INTENTS));

    return {
      intent: {
        type: "string",
        label: "Intent",
        description: "The name of the intent you wish to create or train.",
        options: intentOptions,
      },
      entities: {
        type: "string[]",
        label: "Entities",
        description: "The list of entities appearing in this sentence, that you want your app to extract once it is trained. Each entity must be a JSON string with the following properties:\n- `entity` (string, required): The entity name, including the role (e.g., `temperature:temperature` or `wit$temperature:temperature`).\n- `start` (integer, required): The starting index within the text.\n- `end` (integer, required): The ending index within the text.\n- `body` (string, required): The span of the text for the entity.\n- `entities` (array, required): List of entities found within the composite entity.\n\nExample: `{\"entity\":\"wit$temperature:temperature\",\"start\":19,\"end\":26,\"body\":\"34 degrees\",\"entities\":[]}`",
        optional: true,
      },
      traits: {
        type: "string[]",
        label: "Traits",
        description: "The list of traits that are relevant for the utterance. Each trait must be a JSON string with the following properties:\n- `trait` (string, required): The trait name. This can be a trait you created, or a built-in one. i.e `faq` or `wit$sentiment`.\n- `value` (string, required): The value for the trait, e.g. `positive`.\n\nExample: `{\"trait\":\"wit$sentiment\",\"value\":\"neutral\"}`",
        optional: true,
      },
    };
  },
  methods: {
    addUtterance(args = {}) {
      return this.app.post({
        path: "/utterances",
        ...args,
      });
    },
  },
  async run({ $ }) {
    const {
      addUtterance,
      text,
      intent,
      entities,
      traits,
    } = this;

    const response = await addUtterance({
      $,
      data: [
        {
          text,
          intent,
          entities: utils.parseArray(entities),
          traits: utils.parseArray(traits),
        },
      ],
    });

    $.export("$summary", "Successfully added an utterance to your app.");
    return response;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
wit.ai	`app`	`app`	This component uses the wit.ai app.
Text	`text`	`string`	The text (sentence) you want your app to understand.
Out of Scope	`outOfScope`	`boolean`	To train your app to recognize utterances that it should not handle set this to `true`.