← Airbrake + OpenAI (ChatGPT) integrations

Create Image (Dall-E) with OpenAI (ChatGPT) API on New Error Occurred from Airbrake API

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New Error Occurred from the Airbrake API
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Create Image (Dall-E) with the OpenAI (ChatGPT) API
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Getting Started

This integration creates a workflow with a Airbrake 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 Error Occurred trigger
    1. Connect your Airbrake account
    2. Configure timer
    3. Select a Project ID
  3. Configure the Create Image (Dall-E) action
    1. Connect your OpenAI (ChatGPT) account
    2. Select a Model
    3. Configure Prompt
    4. Optional- Select a Response Format
    5. Optional- Select a Size
  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:Emit new event for each error occurred. [See docs here](https://docs.airbrake.io/docs/devops-tools/api/#list-notices-v4)
Version:0.0.3
Key:airbrake-new-error-occurred

Airbrake Overview

The Airbrake API facilitates real-time error monitoring and automatic exception reporting for your web applications, giving you instant insight into issues as they arise. With this API, you can create custom notifications, analyze and aggregate error data, and manage your project's error trends. Leveraging Pipedream's capabilities, you can automate workflows that respond to these errors, connect with other services for enhanced issue resolution, and maintain a smooth operation within your development and production environments.

Trigger Code

import airbrake from "../../airbrake.app.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

export default {
  name: "New Error Occurred",
  version: "0.0.3",
  key: "airbrake-new-error-occurred",
  description: "Emit new event for each error occurred. [See docs here](https://docs.airbrake.io/docs/devops-tools/api/#list-notices-v4)",
  type: "source",
  dedupe: "unique",
  props: {
    airbrake,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      static: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    projectId: {
      propDefinition: [
        airbrake,
        "projectId",
      ],
    },
  },
  methods: {
    emitEvent(data) {
      this._setLastNoticeId(data.id);

      this.$emit(data, {
        id: data.id,
        summary: `New error with id ${data.id}`,
        ts: Date.parse(data.created_at),
      });
    },
    _setLastNoticeId(id) {
      this.db.set("lastNoticeId", id);
    },
    _getLastNoticeId() {
      return this.db.get("lastNoticeId");
    },
  },
  hooks: {
    async deploy() {
      const { notices } = await this.airbrake.getProjectNotices({
        projectId: this.projectId,
        params: {
          page: 1,
        },
      });

      notices.slice(-10).reverse()
        .forEach(this.emitEvent);
    },
  },
  async run() {
    const lastNoticeId = this._getLastNoticeId();

    let page = 1;

    while (page >= 0) {
      const { notices } = await this.airbrake.getProjectNotices({
        projectId: this.projectId,
        params: {
          page,
        },
      });

      notices.reverse().forEach(this.emitEvent);

      if (notices.filter((notice) => notice.id === lastNoticeId)) {
        return;
      }

      page++;
    }
  },
};

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
AirbrakeairbrakeappThis component uses the Airbrake app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer
Project IDprojectIdintegerSelect a value from the drop down menu.

Trigger Authentication

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

  • To access a user-based API Key, sign in to your Airbrake account and go to Profile > Profile & Notifications.
  • To access a Project-based API Key, open a project on your Dashboard, and click Settings on the top right.
  • Alternatively, you can generate time-expiring user API Tokens here: https://airbrake.io/docs/api/#create-user-token-v4.

About Airbrake

Airbrake collects errors generated by other applications, and aggregates the results for review.

Action

Description:Creates an image given a prompt returning a URL to the image. [See the documentation](https://platform.openai.com/docs/api-reference/images)
Version:0.1.18
Key:openai-create-image

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

export default {
  name: "Create Image (Dall-E)",
  version: "0.1.18",
  key: "openai-create-image",
  description: "Creates an image given a prompt returning a URL to the image. [See the documentation](https://platform.openai.com/docs/api-reference/images)",
  type: "action",
  props: {
    openai,
    model: {
      label: "Model",
      description: "Choose the DALL·E models to generate image(s) with.",
      type: "string",
      options: constants.IMAGE_MODELS,
      reloadProps: true,
    },
    prompt: {
      label: "Prompt",
      description: "A text description of the desired image(s). The maximum length is 1000 characters for dall-e-2 and 4000 characters for dall-e-3.",
      type: "string",
    },
    responseFormat: {
      label: "Response Format",
      description: "The format in which the generated images are returned.",
      type: "string",
      optional: true,
      options: constants.IMAGE_RESPONSE_FORMATS,
      default: "url",
      reloadProps: true,
    },
    size: {
      label: "Size",
      description: "The size of the generated images.",
      type: "string",
      optional: true,
      options: constants.IMAGE_SIZES,
      default: "1024x1024",
    },
  },
  async additionalProps() {
    const props = {};
    if (!this.model && !this.responseFormat) {
      return props;
    }
    if (this.responseFormat === "tmp") {
      props.filename = {
        type: "string",
        label: "Filename",
        description: "Filename of the new file in `/tmp` directory. Make sure to include the extension.",
      };
    }
    if (this.model && this.model !== "dall-e-3") {
      props.n = {
        type: "integer",
        label: "N",
        description: "The number of images to generate. Must be between 1 and 10.",
        optional: true,
        default: 1,
      };
    } else {
      props.quality = {
        type: "string",
        label: "Quality",
        description: "The quality of the image",
        options: constants.IMAGE_QUALITIES,
        optional: true,
        default: "standard",
      };
      props.style = {
        type: "string",
        label: "Style",
        description: "The style of the image",
        options: constants.IMAGE_STYLES,
        optional: true,
        default: "natural",
      };
    }
    return props;
  },
  async run({ $ }) {
    const response = await this.openai.createImage({
      $,
      data: {
        prompt: this.prompt,
        n: this.n,
        size: this.size,
        response_format: this.responseFormat === "url"
          ? this.responseFormat
          : "b64_json",
        model: this.model,
        quality: this.quality,
        style: this.style,
      },
    });

    if (this.responseFormat === "tmp") {
      const n = this.n || 1;
      const fileData = [];
      for (let i = 0; i < n; i++) {
        // if N > 0, name subsequent files "filename_1.ext", "filename_2.ext", etc.
        const filename = i === 0
          ? this.filename
          : this.filename.replace(/(\.[^/.]+)$/, `_${i}$1`);
        const outputFilePath = filename.includes("tmp/")
          ? filename
          : `/tmp/${filename}`;
        await fs.writeFileSync(outputFilePath, Buffer.from(response.data[0].b64_json.toString(), "base64"));
        fileData.push({
          tmp: [
            filename,
            outputFilePath,
          ],
        });
      }
      response.data = fileData;
    }

    if (response.data.length) {
      $.export("$summary", `Successfully created ${response.data.length} image${response.data.length === 1
        ? ""
        : "s"}`);
    }

    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.

LabelPropTypeDescription
OpenAI (ChatGPT)openaiappThis component uses the OpenAI (ChatGPT) app.
ModelmodelstringSelect a value from the drop down menu:dall-e-2dall-e-3
Promptpromptstring

A text description of the desired image(s). The maximum length is 1000 characters for dall-e-2 and 4000 characters for dall-e-3.

Response FormatresponseFormatstringSelect a value from the drop down menu:{ "label": "URL", "value": "url" }{ "label": "Write file to /tmp directory", "value": "tmp" }{ "label": "Base64 JSON", "value": "b64_json" }
SizesizestringSelect a value from the drop down menu:256x256512x5121024x10241792x10241024x1792

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 models like ChatGPT, DALL-E, and Whisper.

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