Create Completion (Send Prompt) with OpenAI (ChatGPT) API on New or Removed Documents in a Collection from Fauna API

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New or Removed Documents in a Collection from the Fauna 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 Fauna 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 or Removed Documents in a Collection trigger
1. Configure timer
2. Connect your Fauna account
3. Select a Collection
4. Optional- Configure Emit changes as a single event
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 or Removed Documents in a Collection on Fauna

Description:Emit new event each time you add or remove a document from a specific collection, with the details of the document.

Version:0.0.8

Key:faunadb-changes-to-collection

View on GitHub

Fauna Overview#

Fauna API offers a powerful serverless database solution for modern applications. Its unique capabilities allow for highly scalable, secure, and flexible data management. With Pipedream, you can harness the power of Fauna to create intricate serverless workflows that react to various triggers, manage data efficiently, and connect seamlessly with other services and APIs to automate complex tasks.

Trigger Code#

import fauna from "../../faunadb.app.mjs";
import _ from "lodash";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

export default {
  type: "source",
  key: "faunadb-changes-to-collection",
  name: "New or Removed Documents in a Collection",
  description: "Emit new event each time you add or remove a document from a specific collection, with the details of the document.",
  version: "0.0.8",
  dedupe: "unique", // Dedupe events based on the concatenation of event + document ref id
  props: {
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    db: "$.service.db",
    fauna,
    collection: {
      propDefinition: [
        fauna,
        "collections",
      ],
    },
    emitEventsInBatch: {
      type: "boolean",
      label: "Emit changes as a single event",
      description:
        "If `true`, all events are emitted as an array, within a single Pipedream event. Defaults to `false`, emitting each event in Fauna as its own event in Pipedream",
      optional: true,
      default: false,
    },
  },
  async run() {
    // As soon as the script runs, mark the start time so we can fetch changes
    // since this time on the next run. Fauna expects epoch ms as its cursor.
    const ts = +new Date() * 1000;
    const cursor = this.db.get("cursor") || ts;

    const events = await this.fauna.getEventsInCollectionAfterTs(
      this.collection,
      cursor,
    );

    if (!events.length) {
      console.log(`No new events in collection ${this.collection}`);
      this.db.set("cursor", ts);
      return;
    }

    console.log(`${events.length} new events in collection ${this.collection}`);

    // Batched emits do not take advantage of the built-in deduper
    if (this.emitEventsInBatch) {
      this.$emit({
        events,
      }, {
        summary: `${events.length} new event${events.length > 1
          ? "s"
          : ""}`,
        id: cursor,
      });
    } else {
      for (const event of events) {
        this.$emit(event, {
          summary: `${event.action.toUpperCase()} - ${event.document.id}`,
          id: `${event.action}-${event.document.id}`, // dedupes events based on this ID
        });
      }
    }

    // Finally, set cursor for the next run to the max timestamp of the changed events, ensuring we
    // get all events after that on the next run. We need to add 1 since the timestamp filter in
    // Fauna is inclusive: https://docs.fauna.com/fauna/current/api/fql/functions/paginate
    const maxEventTs = _.maxBy(events, (event) => event.ts).ts + 1;

    this.db.set("cursor", maxEventTs);
  },
};

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
	`timer`	`$.interface.timer`
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Fauna	`fauna`	`app`	This component uses the Fauna app.
Collection	`collection`	`string`	Select a value from the drop down menu.
Emit changes as a single event	`emitEventsInBatch`	`boolean`	If `true`, all events are emitted as an array, within a single Pipedream event. Defaults to `false`, emitting each event in Fauna as its own event in Pipedream

Trigger Authentication#

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

Create a key in the Security section of your FaunaDB dashboard, then enter the Secret below.

About Fauna#

The distributed serverless database combining the flexibility of NoSQL with the relational querying capabilities of SQL systems.

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:0.1.13

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: "0.1.13",
  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.

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) + Fauna#

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