Create Completion (Send Prompt) with OpenAI (ChatGPT) API on New Output Created Event from Phantombuster API

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New Output Created Event from the Phantombuster 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 Phantombuster 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 Output Created Event trigger
1. Connect your Phantombuster account
2. Configure timer
3. Select a Agent 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 Output Created Event on Phantombuster

Description:Emit new events when new outputs are created. [See the docs here](https://hub.phantombuster.com/reference/get_agents-fetch-output-1)

Version:0.0.1

Key:phantombuster-new-output

View on GitHub

Phantombuster Overview#

Phantombuster is a tool that lets you automate interactions with web platforms to extract data, manage social media campaigns, and automate web actions. Using its API on Pipedream, you can seamlessly integrate these automation capabilities into complex workflows. Imagine orchestrating a symphony where Phantombuster plays the strings—pulling data from LinkedIn, sending tailored tweets, or automating lead generation—while Pipedream conducts, integrating these actions with other apps and services for a harmonious data-driven performance.

Trigger Code#

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

export default {
  key: "phantombuster-new-output",
  name: "New Output Created Event",
  description: "Emit new events when new outputs are created. [See the docs here](https://hub.phantombuster.com/reference/get_agents-fetch-output-1)",
  version: "0.0.1",
  type: "source",
  props: {
    app,
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    db: "$.service.db",
    agentId: {
      propDefinition: [
        app,
        "agentId",
      ],
    },
  },
  methods: {
    setLastUpdated(lastUpdated) {
      this.db.set("lastUpdated", lastUpdated);
    },
    getLastUpdated() {
      return this.db.get("lastUpdated") || 0;
    },
    setLastContainerId(lastContainerId) {
      this.db.set("lastContainerId", lastContainerId);
    },
    getLastContainerId() {
      return this.db.get("lastContainerId") || 0;
    },
  },
  async run() {
    const resp = await this.app.getOutput({ //always there is one last output for an agent
      params: {
        id: this.agentId,
      },
    });
    if (this.getLastContainerId() != resp.containerId ||
      (resp.mostRecentEndedAt && this.getLastUpdated() < resp.mostRecentEndedAt)) {
      this.$emit(
        resp,
        {
          id: resp.mostRecentEndedAt || Date.now(),
          summary: resp.output,
          ts: resp.mostRecentEndedAt || Date.now(),
        },
      );
      this.setLastUpdated(resp.mostRecentEndedAt);
      this.setLastContainerId(resp.containerId);
    }
  },
};

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
Phantombuster	`app`	`app`	This component uses the Phantombuster app.
	`timer`	`$.interface.timer`
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Agent ID	`agentId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

Your API key resides in your Phantombuster Org settings page. This page is also accessible through your navbar's menu, under the label "Org settings". Please notice that for security reasons, you key will only be shown once, on creation. You better copy it in a safe place before refreshing or leaving the page.

For more info, refer to Phantombuster's API documentation

About Phantombuster#

Code-free automations and data extraction. Chain actions and data extraction on the web to generate business leads, marketing audiences and overall growth. Phantombuster gives you the tools and know-how to grow your business faster.

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:0.1.21

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: "0.1.21",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: false,
  },
  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 Output Created Event from Phantombuster API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Phantombuster and 2,900+ other apps remarkably fast.

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

Developers ♥ Pipedream

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