← Oracle Cloud Infrastructure + OpenAI (ChatGPT) integrations

Create Vector Store with OpenAI (ChatGPT) API on New Autonomous Database Created (Instant) from Oracle Cloud Infrastructure API

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Trigger workflow on
New Autonomous Database Created (Instant) from the Oracle Cloud Infrastructure API
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Create Vector Store with the OpenAI (ChatGPT) API
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Getting Started

This integration creates a workflow with a Oracle Cloud Infrastructure 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 Autonomous Database Created (Instant) trigger
    1. Connect your Oracle Cloud Infrastructure account
    2. Select a Compartment ID
  3. Configure the Create Vector Store action
    1. Connect your OpenAI (ChatGPT) account
    2. Optional- Select one or more File IDs
    3. Optional- Configure Name
    4. Optional- Configure Expiration Days
    5. Optional- Configure Metadata
  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 when a new autonomous database is created in a specified compartment. [See the documentation](https://docs.oracle.com/en-us/iaas/api/#/en/events/20181201/Rule/CreateRule).
Version:0.0.1
Key:oracle_cloud_infrastructure-new-autonomous-database-created-instant

Trigger Code

import common from "../common/webhook.mjs";
import events from "../common/events.mjs";

export default {
  ...common,
  key: "oracle_cloud_infrastructure-new-autonomous-database-created-instant",
  name: "New Autonomous Database Created (Instant)",
  description: "Emit new event when a new autonomous database is created in a specified compartment. [See the documentation](https://docs.oracle.com/en-us/iaas/api/#/en/events/20181201/Rule/CreateRule).",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getTopicName() {
      return `new-autonomous-database-created-${Date.now()}`;
    },
    // https://docs.oracle.com/en-us/iaas/Content/Events/Concepts/filterevents.htm
    getCondition() {
      return JSON.stringify({
        eventType: [
          events.DATABASE.AUTONOMOUS_DATABASE_CREATE_END,
        ],
      });
    },
    generateMeta(resource) {
      return {
        id: resource.eventID,
        summary: `New Autonomous Database: ${resource.data?.resourceName}`,
        ts: Date.parse(resource.eventTime),
      };
    },
  },
};

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
Oracle Cloud InfrastructureappappThis component uses the Oracle Cloud Infrastructure app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
N/Ahttp$.interface.httpThis 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.
Compartment IDcompartmentIdstringSelect a value from the drop down menu.

Trigger Authentication

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

To retrieve your Region, Private Key, and FIngerprint,

  • Navigate to your Oracle Cloud Infrastructure account using Oracle Cloud Console and sign in
  • Expand the navigation menu on the top left with the three horizontal lines
  • Click "Identity & Security"
  • Select "Identity" > "Domains"
  • Click on one of your domains available
  • Go to "Users"
  • Open one of your users
  • Go to "Resources" > "API Keys"

About Oracle Cloud Infrastructure

The next-generation cloud designed to run any application, faster and more securely, for less.

Action

Description:Create a vector store. [See the documentation](https://platform.openai.com/docs/api-reference/vector-stores/create)
Version:0.0.7
Key:openai-create-vector-store

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";

export default {
  key: "openai-create-vector-store",
  name: "Create Vector Store",
  description: "Create a vector store. [See the documentation](https://platform.openai.com/docs/api-reference/vector-stores/create)",
  version: "0.0.7",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: false,
  },
  type: "action",
  props: {
    openai,
    fileIds: {
      propDefinition: [
        openai,
        "fileId",
      ],
      type: "string[]",
      label: "File IDs",
      description: "An array of File IDs that the vector store should use",
      optional: true,
      reloadProps: true,
    },
    name: {
      type: "string",
      label: "Name",
      description: "Name of the vector store",
      optional: true,
    },
    expiryDays: {
      type: "integer",
      label: "Expiration Days",
      description: "The number of days after the `last_active_at` time that the vector store will expire",
      optional: true,
    },
    metadata: {
      type: "object",
      label: "Metadata",
      description: "Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format",
      optional: true,
    },
  },
  additionalProps() {
    const props = {};
    if (!this.fileIds?.length) {
      return props;
    }

    props.chunkingStrategy = {
      type: "string",
      label: "Chunking Strategy",
      description: "The chunking strategy used to chunk the file(s)",
      options: [
        "auto",
        "static",
      ],
      optional: true,
      reloadProps: true,
    };

    if (this?.chunkingStrategy === "static") {
      props.maxChunkSizeTokens = {
        type: "integer",
        label: "Max Chunk Size Tokens",
        description: "The maximum number of tokens in each chunk. The default value is `800`. The minimum value is `100` and the maximum value is `4096`.",
        default: 800,
        optional: true,
      };
      props.chunkOverlapTokens = {
        type: "integer",
        label: "Chunk Overlap Tokens",
        description: "The number of tokens that overlap between chunks. The default value is `400`. Note that the overlap must not exceed half of max_chunk_size_tokens.",
        default: 400,
        optional: true,
      };
    }

    return props;
  },
  async run({ $ }) {
    const response = await this.openai.createVectorStore({
      $,
      data: {
        file_ids: this.fileIds,
        name: this.name,
        expires_after: this.expiryDays && {
          anchor: "last_active_at",
          days: this.expiryDays,
        },
        chunking_strategy: this.chunkingStrategy && {
          type: this.chunkingStrategy,
          static: this.chunkingStrategy === "static"
            ? {
              max_chunk_size_tokens: this.maxChunkSizeTokens,
              chunk_overlap_tokens: this.chunkOverlapTokens,
            }
            : undefined,
        },
        metadata: this.metadata,
      },
    });
    $.export("$summary", `Successfully created vector store 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.

LabelPropTypeDescription
OpenAI (ChatGPT)openaiappThis component uses the OpenAI (ChatGPT) app.
File IDsfileIdsstring[]Select a value from the drop down menu.
Namenamestring

Name of the vector store

Expiration DaysexpiryDaysinteger

The number of days after the last_active_at time that the vector store will expire

Metadatametadataobject

Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format

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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