Create Completion (Send Prompt) with OpenAI (ChatGPT) API on New Check-In By Teammate Created from Range API

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New Check-In By Teammate Created from the Range API

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Create Completion (Send Prompt) with the OpenAI (ChatGPT) API

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Getting Started#

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

Select this integration
Configure the New Check-In By Teammate Created trigger
1. Connect your Range account
2. Configure Polling schedule
3. Select a User ID
Configure the Create Completion (Send Prompt) action
1. Connect your OpenAI (ChatGPT) account
2. Configure alert
3. Select a Model
4. Configure Prompt
5. Optional- Configure Suffix
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
14. Optional- Configure Best Of
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 Check-In By Teammate Created on Range

Description:Emit new event when a new check-in by teammate is created. [See the docs](https://www.range.co/docs/api#rpc-list-updates).

Version:0.0.1

Key:range-new-check-in-by-teammate-created

View on GitHub

Range Overview#

The Range API provides a platform for managing print shop operations, including job status tracking, quoting, invoicing, and scheduling. Leveraging Pipedream, users can automate workflows between Range and other apps, creating a seamless integration that boosts productivity. Whether it's syncing order details with a CRM, triggering notifications based on job status updates, or automating invoice creation, Pipedream acts as a conduit for connecting Range's print shop management capabilities with a myriad of other services.

Trigger Code#

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

export default {
  ...common,
  key: "range-new-check-in-by-teammate-created",
  name: "New Check-In By Teammate Created",
  description: "Emit new event when a new check-in by teammate is created. [See the docs](https://www.range.co/docs/api#rpc-list-updates).",
  type: "source",
  version: "0.0.1",
  dedupe: "unique",
  props: {
    ...common.props,
    userId: {
      propDefinition: [
        common.props.app,
        "userId",
      ],
    },
  },
  methods: {
    ...common.methods,
    getResourcesFn() {
      return this.listUpdates;
    },
    getResourcesFnArgs() {
      const lastPublishedAt = this.getLastPublishedAt();

      const args = {
        params: {
          target_id: this.userId,
          count: constants.DEFAULT_LIMIT,
          ascending: false,
        },
      };

      if (!lastPublishedAt) {
        return args;
      }

      return {
        ...args,
        params: {
          ...args.params,
          after: lastPublishedAt,
        },
      };
    },
    getResourcesName() {
      return "updates";
    },
    generateMeta(resource) {
      const ts = Date.parse(resource.published_at);
      return {
        id: ts,
        ts,
        summary: `New Check-In at ${resource.published_at}`,
      };
    },
  },
};

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
Range	`app`	`app`	This component uses the Range 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 Range API
User ID	`userId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

Range uses OAuth authentication. When you connect your Range account, Pipedream will open a popup window where you can sign into Range and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Range API.

Pipedream requests the following authorization scopes when you connect your account:

default

About Range#

The place for remote & hybrid teams to check in with each other

Action#

Create Completion (Send Prompt) on OpenAI (ChatGPT)

Description:OpenAI recommends using the **Chat** action for the latest `gpt-3.5-turbo` API, since it's faster and 10x cheaper. This action creates a completion for the provided prompt and parameters using the older `/completions` API. [See the documentation](https://beta.openai.com/docs/api-reference/completions/create)

Version:0.1.13

Key:openai-send-prompt

View on GitHub

OpenAI (ChatGPT) Overview#

OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:

Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:

Action Code#

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

export default {
  ...common,
  name: "Create Completion (Send Prompt)",
  version: "0.1.13",
  key: "openai-send-prompt",
  description: "OpenAI recommends using the **Chat** action for the latest `gpt-3.5-turbo` API, since it's faster and 10x cheaper. This action creates a completion for the provided prompt and parameters using the older `/completions` API. [See the documentation](https://beta.openai.com/docs/api-reference/completions/create)",
  type: "action",
  props: {
    openai,
    alert: {
      type: "alert",
      alertType: "warning",
      content: "We recommend using the Pipedream **Chat** action instead of this one. It supports the latest `gpt-3.5-turbo` API, which is faster and 10x cheaper. This action, **Create Completion (Send Prompt)**, creates a completion for the provided prompt and parameters using the older `/completions` API.",
    },
    modelId: {
      propDefinition: [
        openai,
        "completionModelId",
      ],
    },
    prompt: {
      label: "Prompt",
      description: "The prompt to generate completions for",
      type: "string",
    },
    suffix: {
      label: "Suffix",
      description: "The suffix that comes after a completion of inserted text",
      type: "string",
      optional: true,
    },
    ...common.props,
    bestOf: {
      label: "Best Of",
      description: "Generates best_of completions server-side and returns the \"best\" (the one with the highest log probability per token). If set, results cannot be streamed.",
      type: "integer",
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.openai.createCompletion({
      $,
      data: this._getCommonArgs(),
    });

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

    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
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
Model	`modelId`	`string`	Select a value from the drop down menu.
Prompt	`prompt`	`string`	The prompt to generate completions for
Suffix	`suffix`	`string`	The suffix that comes after a completion of inserted text
Max Tokens	`maxTokens`	`integer`	The maximum number of tokens to generate in the completion.
Temperature	`temperature`	`string`	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 P	`topP`	`string`	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.
N	`n`	`integer`	How many completions to generate for each prompt
Stop	`stop`	`string[]`	Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.
Presence Penalty	`presencePenalty`	`string`	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 Penalty	`frequencyPenalty`	`string`	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.
User	`user`	`string`	A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more here.
Best Of	`bestOf`	`integer`	Generates best_of completions server-side and returns the "best" (the one with the highest log probability per token). If set, results cannot be streamed.

Create Completion (Send Prompt) with OpenAI (ChatGPT) API on New Check-In By Teammate Created from Range API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Range and 2,400+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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