← DropInBlog + OpenAI (ChatGPT) integrations

Create Thread (Assistants) with OpenAI (ChatGPT) API on New Post Published from DropInBlog API

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New Post Published from the DropInBlog API
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Create Thread (Assistants) with the OpenAI (ChatGPT) API
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Getting Started

This integration creates a workflow with a DropInBlog 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 Post Published trigger
    1. Connect your DropInBlog account
    2. Configure Polling Schedule
  3. Configure the Create Thread (Assistants) action
    1. Connect your OpenAI (ChatGPT) account
    2. Optional- Configure Messages
    3. Optional- Configure Metadata
    4. Optional- Configure Run Thread
    5. Optional- Select one or more Tool Types
  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 post is published. [See the documentation](https://dropinblog.readme.io/reference/posts-list).
Version:0.0.1
Key:dropinblog-new-post-published

Trigger Code

import common from "../common/polling.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "dropinblog-new-post-published",
  name: "New Post Published",
  description: "Emit new event when a new post is published. [See the documentation](https://dropinblog.readme.io/reference/posts-list).",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getDateField() {
      return "publishedAt";
    },
    getResourceName() {
      return "data.posts";
    },
    getResourcesFn() {
      return this.app.listPosts;
    },
    getResourcesFnArgs() {
      return {
        debug: true,
        params: {
          statuses: "published",
        },
      };
    },
    generateMeta(resource) {
      return {
        id: resource.id,
        summary: resource.title,
        ts: Date.parse(resource[this.getDateField()]),
      };
    },
  },
  sampleEmit,
};

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
DropInBlogappappThis component uses the DropInBlog app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Polling Scheduletimer$.interface.timer

How often to poll the API

Trigger Authentication

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

For DropInBlog actions and sources to work, you will need to provide a Private API Key and Public API Key.

About DropInBlog

Embed a Blog into Your Website in 3 Minutes - DropInBlog

Action

Description:Creates a thread with optional messages and metadata, and optionally runs the thread using the specified assistant. [See the documentation](https://platform.openai.com/docs/api-reference/threads/createThread)
Version:0.0.11
Key:openai-create-thread

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-assistants.mjs";
import constants from "../../common/constants.mjs";

export default {
  key: "openai-create-thread",
  name: "Create Thread (Assistants)",
  description: "Creates a thread with optional messages and metadata, and optionally runs the thread using the specified assistant. [See the documentation](https://platform.openai.com/docs/api-reference/threads/createThread)",
  version: "0.0.11",
  type: "action",
  props: {
    openai,
    messages: {
      propDefinition: [
        openai,
        "messages",
      ],
      optional: true,
    },
    metadata: {
      propDefinition: [
        openai,
        "metadata",
      ],
      optional: true,
    },
    runThread: {
      type: "boolean",
      label: "Run Thread",
      description: "Set to `true` to run the thread after creation",
      optional: true,
      reloadProps: true,
    },
    toolTypes: {
      type: "string[]",
      label: "Tool Types",
      description: "The types of tools to enable on the assistant",
      options: constants.TOOL_TYPES.filter((type) => type !== "function"),
      optional: true,
      reloadProps: true,
    },
  },
  async additionalProps() {
    const props = {};
    if (this.runThread) {
      props.assistantId = {
        type: "string",
        label: "Assistant ID",
        description: "The unique identifier for the assistant.",
        options: async () => { return this.getAssistantPropOptions(); },
      };
      props.model = {
        type: "string",
        label: "Model",
        description: "The ID of the model to use for the assistant",
        options: async () => { return this.getAssistantModelPropOptions(); },
      };
      props.instructions = {
        type: "string",
        label: "Instructions",
        description: "The system instructions that the assistant uses.",
        optional: true,
      };
      props.waitForCompletion = {
        type: "boolean",
        label: "Wait For Completion",
        description: "Set to `true` to poll the API in 3-second intervals until the run is completed",
        optional: true,
      };
    }
    const toolProps = this.toolTypes?.length
      ? await this.getToolProps()
      : {};
    return {
      ...props,
      ...toolProps,
    };
  },
  methods: {
    ...common.methods,
    async getAssistantPropOptions() {
      const { data } = await this.openai.listAssistants();
      return data.map(({
        name, id,
      }) => ({
        label: name || id,
        value: id,
      }));
    },
    async getAssistantModelPropOptions() {
      const models = (await this.openai.models({})).filter(({ id }) => (id.includes("gpt-3.5-turbo") || id.includes("gpt-4-turbo")) && (id !== "gpt-3.5-turbo-0301"));
      return models.map(({ id }) => id);
    },
  },
  async run({ $ }) {
    const messages = this.messages?.length
      ? this.messages.map((message) => ({
        role: "user",
        content: message,
      }))
      : undefined;
    let response = !this.runThread
      ? await this.openai.createThread({
        $,
        data: {
          messages,
          metadata: this.metadata,
          tool_resources: this.buildToolResources(),
        },
      })
      : await this.openai.createThreadAndRun({
        $,
        data: {
          assistant_id: this.assistantId,
          thread: {
            messages,
            metadata: this.metadata,
          },
          model: this.model,
          instructions: this.instructions,
          tools: this.buildTools(),
          tool_resources: this.buildToolResources(),
          metadata: this.metadata,
        },
      });

    if (this.waitForCompletion) {
      const runId = response.id;
      const threadId = response.thread_id;
      response = await this.pollRunUntilCompleted(response, threadId, runId, $);
    }

    $.export("$summary", `Successfully created a thread ${this.runThread
      ? "and run"
      : ""} 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.
Messagesmessagesstring[]

An array of messages to start the thread with.

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. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.

Run ThreadrunThreadboolean

Set to true to run the thread after creation

Tool TypestoolTypesstring[]Select a value from the drop down menu:code_interpreterfile_search

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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