Create Embeddings with OpenAI (ChatGPT) API on New Issue Event (Instant) from Sentry API

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New Issue Event (Instant) from the Sentry API

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Create Embeddings with the OpenAI (ChatGPT) API

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Getting Started#

This integration creates a workflow with a Sentry 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 Issue Event (Instant) trigger
1. Connect your Sentry account
2. Select a Organization
Configure the Create Embeddings action
1. Connect your OpenAI (ChatGPT) account
2. Select a Model
3. Configure Input
4. Optional- Configure User
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 Issue Event (Instant) on Sentry

Description:Emit new events for issues that have been created or updated.

Version:0.1.2

Key:sentry-issue-event

View on GitHub

Sentry Overview#

The Sentry API on Pipedream allows you to automate error tracking and responses in your applications. Sentry's robust issue tracking and release monitoring align with Pipedream's ability to craft custom workflows, enabling developers to connect error alerts to a plethora of other services for notifications, analysis, task management, and more. With Sentry's detailed diagnostic data, these workflows can help reduce downtime by triggering quick actions upon issue detection.

Trigger Code#

import sentry from "../../sentry.app.mjs";

export default {
  key: "sentry-issue-event",
  version: "0.1.2",
  name: "New Issue Event (Instant)",
  description: "Emit new events for issues that have been created or updated.",
  type: "source",
  props: {
    db: "$.service.db",
    http: {
      type: "$.interface.http",
      customResponse: true,
    },
    sentry,
    organizationSlug: {
      propDefinition: [
        sentry,
        "organizationSlug",
      ],
    },
  },
  hooks: {
    async activate() {
      const { slug: integrationSlug } = await this.sentry.createIntegration(
        this.getEventSourceName(),
        this.organizationSlug,
        this.http.endpoint,
      );
      this._setIntegrationSlug(integrationSlug);

      const clientSecret = await this.sentry.getClientSecret(integrationSlug);
      this._setClientSecret(clientSecret);
    },
    async deactivate() {
      const integrationSlug = this._getIntegrationSlug();
      await this.sentry.disableIntegration(integrationSlug);
    },
  },
  methods: {
    _setIntegrationSlug(integrationSlug) {
      this.db.set("integrationSlug", integrationSlug);
    },
    _getIntegrationSlug() {
      return this.db.get("integrationSlug");
    },
    _setClientSecret(clientSecret) {
      this.db.set("clientSecret", clientSecret);
    },
    _getClientSecret() {
      return this.db.get("clientSecret");
    },
    getEventSourceName() {
      return "Issue Event (Instant)";
    },
  },
  async run(event) {
    const clientSecret = this._getClientSecret();
    if (!this.sentry.isValidSource(event, clientSecret)) {
      this.http.respond({
        statusCode: 404,
      });
      return;
    }

    this.http.respond({
      statusCode: 200,
    });

    const {
      body, body: { data: { issue } },
    } = event;

    this.$emit(body, {
      id: issue.id,
      summary: issue.title,
      ts: Date.parse(issue.lastSeen),
    });
  },
};

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
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
Sentry	`sentry`	`app`	This component uses the Sentry app.
Organization	`organizationSlug`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

About Sentry#

Sentry offers self-hosted and cloud-based application performance monitoring & error tracking that helps software teams see clearer, solve quicker, & learn continuously.

Action#

Create Embeddings on OpenAI (ChatGPT)

Description:Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. [See the documentation](https://platform.openai.com/docs/api-reference/embeddings)

Version:0.0.14

Key:openai-create-embeddings

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 { ConfigurationError } from "@pipedream/platform";
import openai from "../../openai.app.mjs";
import common from "../common/common.mjs";

export default {
  name: "Create Embeddings",
  version: "0.0.14",
  key: "openai-create-embeddings",
  description: "Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. [See the documentation](https://platform.openai.com/docs/api-reference/embeddings)",
  type: "action",
  props: {
    openai,
    modelId: {
      propDefinition: [
        openai,
        "embeddingsModelId",
      ],
    },
    input: {
      label: "Input",
      description: "Input text to get embeddings for, encoded as a string or array of tokens. To get embeddings for multiple inputs in a single request, pass an array of strings or array of token arrays. Each input must not exceed 8192 tokens in length.",
      type: "string[]",
    },
    user: common.props.user,
  },
  async run({ $ }) {
    // Confirm no element is more than 8192 tokens in length
    for (const [
      i,
      element,
    ] of this.input.entries()) {
      if (element.length > 8192) {
        throw new ConfigurationError(`Element #${i} is more than 8192 tokens in length. Each input must not exceed 8192 tokens in length.`);
      }
    }

    const response = await this.openai.createEmbeddings({
      $,
      data: {
        model: this.modelId,
        input: this.input,
      },
    });

    if (response) {
      $.export("$summary", "Successfully created embeddings");
    }

    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.
Input	`input`	`string[]`	Input text to get embeddings for, encoded as a string or array of tokens. To get embeddings for multiple inputs in a single request, pass an array of strings or array of token arrays. Each input must not exceed 8192 tokens in length.
User	`user`	`string`	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 models like ChatGPT, DALL-E, and Whisper.

More Ways to Connect OpenAI (ChatGPT) + Sentry#

Other Popular Integrations#

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Create Embeddings with OpenAI (ChatGPT) API on New Issue Event (Instant) from Sentry API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Sentry 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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