← UserVoice + OpenAI (ChatGPT) integrations

Chat with OpenAI (ChatGPT) API on New NPS Ratings from UserVoice API

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New NPS Ratings from the UserVoice API
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Getting Started

This integration creates a workflow with a UserVoice trigger and OpenAI (ChatGPT) action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New NPS Ratings trigger
    1. Connect your UserVoice account
    2. Configure Polling schedule
  3. Configure the Chat action
    1. Connect your OpenAI (ChatGPT) account
    2. Select a Model
    3. Configure User Message
    4. Optional- Configure System Instructions
    5. Optional- Configure Prior Message History
    6. Optional- Configure Max Tokens
    7. Optional- Configure Temperature
    8. Optional- Configure Top P
    9. Optional- Configure N
    10. Optional- Configure Stop
    11. Optional- Configure Presence Penalty
    12. Optional- Configure Frequency Penalty
    13. Optional- Configure User
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Emits new NPS ratings submitted through the UserVoice NPS widget. On first run, emits up to 10 sample NPS ratings users have previously submitted.
Version:0.0.4
Key:uservoice-new-nps-ratings

UserVoice Overview

Using the UserVoice API, developers can build powerful customer service tools
to improve the service your organization provides to its customers. Here are
just a few of the possibilities:

  • Create a custom portal, allowing your customers to submit and manage their
    requests, as well as track their progress, all within your own branded
    domain.
  • Integrate UserVoice with your existing customer service software, enabling
    customers to better track their inquiries and quickly provide feedback on
    their experiences.
  • Design branded surveys to gather feedback from customers and gain insight
    about how to improve your customer service.
  • Automate customer service processes to ensure each customer's inquiries are
    handled quickly and efficiently.
  • Use data from the UserVoice API to gain valuable insights into your customer
    service performance.

These are just a few of the possibilities that can be accomplished through the
UserVoice API. With its comprehensive suite of features, your organization will
be able to provide exceptional customer service experiences and better serve
your customers.

Trigger Code

const uservoice = require("../../uservoice.app.js");
const { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } = require("@pipedream/platform");

const NUM_SAMPLE_RESULTS = 10;

module.exports = {
  name: "New NPS Ratings",
  version: "0.0.4",
  key: "uservoice-new-nps-ratings",
  description: `Emits new NPS ratings submitted through the UserVoice NPS widget. On first run, emits up to ${NUM_SAMPLE_RESULTS} sample NPS ratings users have previously submitted.`,
  dedupe: "unique",
  type: "source",
  props: {
    uservoice,
    timer: {
      label: "Polling schedule",
      description:
        "Pipedream will poll the UserVoice API for new NPS ratings on this schedule",
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    db: "$.service.db",
  },
  hooks: {
    async deploy() {
      // Emit sample records on the first run
      const { npsRatings } = await this.uservoice.listNPSRatings({
        numSampleResults: NUM_SAMPLE_RESULTS,
      });
      this.emitWithMetadata(npsRatings);
    },
  },
  methods: {
    emitWithMetadata(ratings) {
      for (const rating of ratings) {
        const {
          id, rating: score, body, created_at,
        } = rating;
        const summary = body && body.length
          ? `${score} - ${body}`
          : `${score}`;
        this.$emit(rating, {
          summary,
          id,
          ts: +new Date(created_at),
        });
      }
    },
  },
  async run() {
    let updated_after =
      this.db.get("updated_after") || new Date().toISOString();
    const {
      npsRatings, maxUpdatedAt,
    } = await this.uservoice.listNPSRatings({
      updated_after,
    });
    this.emitWithMetadata(npsRatings);

    if (maxUpdatedAt) {
      updated_after = maxUpdatedAt;
    }
    this.db.set("updated_after", updated_after);
  },
};

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.
LabelPropTypeDescription
UserVoiceuservoiceappThis component uses the UserVoice app.
Polling scheduletimer$.interface.timer

Pipedream will poll the UserVoice API for new NPS ratings on this schedule

N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.

Trigger Authentication

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

To connect to the UserVoice API, create a trusted API client. In your UserVoice Admin Console, navigate to SettingsIntegrationsUserVoice API keys and click the button to Add API Key. Add a name and check the Trusted box at the bottom of the modal that appears:



Then, generate an access token by clicking the Create button near the right of the details of the API key:



Enter that access token below.

Finally, enter your UserVoice subdomain, which can be found in the URL of your instance: https://SUBDOMAIN.uservoice.com/

About UserVoice

User feedback made easy and actionable

Action

Description:The Chat API, using the `gpt-3.5-turbo` or `gpt-4` model. [See docs here](https://platform.openai.com/docs/api-reference/chat)
Version:0.1.2
Key:openai-chat

OpenAI (ChatGPT) Overview

The OpenAI API is a powerful tool that provides access to a range of
high-powered machine learning models. With the OpenAI API, developers can
create products, services, and tools that enable humanizing AI experiences, and
build applications that extend the power of human language.

Using the OpenAI API, developers can create language-driven applications such
as:

  • Natural language understanding and sentiment analysis
  • Text-based search
  • Question answering
  • Dialogue systems and conversation agents
  • Intelligent text completion
  • Text summarization
  • Text classification
  • Machine translation
  • Language generation
  • Multi-factor authentication
  • Anomaly detection
  • Text analysis

Action Code

import openai from "../../app/openai.app.mjs";
import common from "../common/common.mjs";

export default {
  ...common,
  name: "Chat",
  version: "0.1.2",
  key: "openai-chat",
  description: "The Chat API, using the `gpt-3.5-turbo` or `gpt-4` model. [See docs here](https://platform.openai.com/docs/api-reference/chat)",
  type: "action",
  props: {
    openai,
    modelId: {
      propDefinition: [
        openai,
        "chatCompletionModelId",
      ],
    },
    userMessage: {
      label: "User Message",
      type: "string",
      description: "The user messages provide instructions to the assistant. They can be generated by the end users of an application, or set by a developer as an instruction.",
    },
    systemInstructions: {
      label: "System Instructions",
      type: "string",
      description: "The system message helps set the behavior of the assistant. For example: \"You are a helpful assistant.\" [See these docs](https://platform.openai.com/docs/guides/chat/instructing-chat-models) for tips on writing good instructions.",
      optional: true,
    },
    messages: {
      label: "Prior Message History",
      type: "string[]",
      description: "_Advanced_. Because [the models have no memory of past chat requests](https://platform.openai.com/docs/guides/chat/introduction), all relevant information must be supplied via the conversation. You can provide [an array of messages](https://platform.openai.com/docs/guides/chat/introduction) from prior conversations here. If this param is set, the action ignores the values passed to **System Instructions** and **Assistant Response**, appends the new **User Message** to the end of this array, and sends it to the API.",
      optional: true,
    },
    ...common.props,
  },
  async run({ $ }) {
    const args = this._getChatArgs();
    const response = await this.openai.createChatCompletion({
      $,
      args,
    });

    if (response) {
      $.export("$summary", `Successfully sent chat with id ${response.id}`);
    }

    const { messages } = args;
    return {
      original_messages: messages,
      original_messages_with_assistant_response: messages.concat(response.choices[0]?.message),
      ...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.

LabelPropTypeDescription
OpenAI (ChatGPT)openaiappThis component uses the OpenAI (ChatGPT) app.
ModelmodelIdstringSelect a value from the drop down menu.
User MessageuserMessagestring

The user messages provide instructions to the assistant. They can be generated by the end users of an application, or set by a developer as an instruction.

System InstructionssystemInstructionsstring

The system message helps set the behavior of the assistant. For example: "You are a helpful assistant." See these docs for tips on writing good instructions.

Prior Message Historymessagesstring[]

Advanced. Because the models have no memory of past chat requests, all relevant information must be supplied via the conversation. You can provide an array of messages from prior conversations here. If this param is set, the action ignores the values passed to System Instructions and Assistant Response, appends the new User Message to the end of this array, and sends it to the API.

Max TokensmaxTokensinteger

The maximum number of tokens to generate in the completion.

Temperaturetemperaturestring

Optional. What sampling temperature to use. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer.

Top PtopPstring

An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both.

Nninteger

How many completions to generate for each prompt

Stopstopstring[]

Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.

Presence PenaltypresencePenaltystring

Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.

Frequency PenaltyfrequencyPenaltystring

Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.

Useruserstring

A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more here.

Action Authentication

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

About OpenAI (ChatGPT)

OpenAI is an AI research and deployment company with the mission to ensure that artificial general intelligence benefits all of humanity. They are the makers of popular apps like ChatGPT and DALL·E 2.

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