Chat with OpenAI (ChatGPT) API on New High Five Received from 15Five API

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New High Five Received from the 15Five API

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Getting Started#

This integration creates a workflow with a 15Five 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 High Five Received trigger
1. Connect your 15Five account
2. Configure timer
3. Optional- Select a User
Configure the Chat action
1. Connect your OpenAI (ChatGPT) account
2. Select a Model
3. Configure User Message
4. Optional- Configure System Instructions
5. Optional- Configure Prior Message History
6. Optional- Configure Images
7. Optional- Select a Response Format
8. Optional- Configure Max Tokens
9. Optional- Configure Temperature
10. Optional- Configure Top P
11. Optional- Configure N
12. Optional- Configure Stop
13. Optional- Configure Presence Penalty
14. Optional- Configure Frequency Penalty
15. 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 High Five Received on 15Five

Description:Emit new event for each new high five received. [See the documentation](https://my.15five.com/api/public/#tag/High-Five/paths/~1api~1public~1high-five~1/get)

Version:0.0.1

Key:f15five-new-high-five-received

View on GitHub

15Five Overview#

The 15Five API enables you to build custom integrations and applications on top
of the 15Five platform. With the API, you can access data stored in 15Five,
including:

Users
Companies
Goals
Check-ins
Feedback
Recognition

You can use the API to build applications that help 15Five users manage their
work and achieve their goals. For example, you could build a custom integration
that links 15Five with another tool that your team uses, such as a project
management tool or a CRM. Or, you could build a custom application that helps
users track their progress on their goals, or provides them with recognition
for a job well done.

Whatever you build, the 15Five API gives you the power to customize the 15Five
experience for your users in a way that best meets their needs.

Trigger Code#

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

export default {
  ...common,
  key: "f15five-new-high-five-received",
  name: "New High Five Received",
  description: "Emit new event for each new high five received. [See the documentation](https://my.15five.com/api/public/#tag/High-Five/paths/~1api~1public~1high-five~1/get)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    user: {
      propDefinition: [
        common.props.f15five,
        "user",
      ],
      optional: true,
    },
  },
  methods: {
    ...common.methods,
    async getResources(params) {
      const { results } = await this.f15five.listHighFives({
        params: this.getParams(params),
      });
      return results;
    },
    getParams(params = {}) {
      return {
        ...params,
        user_id: this.user,
        order_by: "-id",
      };
    },
    generateMeta(event) {
      return {
        id: event.id,
        summary: `New high five with ID ${event.id}`,
        ts: Date.parse(event.create_ts),
      };
    },
  },
};

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
15Five	`f15five`	`app`	This component uses the 15Five app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
User	`user`	`string`	Select a value from the drop down menu.

Trigger Authentication#

15Five uses API keys for authentication. When you connect your 15Five account, Pipedream securely stores the keys so you can easily authenticate to 15Five APIs in both code and no-code steps.

To retrieve your API key,

Navigate to your 15Five account and sign in
Go to “Settings” at the top right > “Features” > “Integrations”> “Public API”

About 15Five#

15Five is a human-centered performance management platform that creates effective managers, highly engaged employees, and top-performing organizations.

Action#

Chat on OpenAI (ChatGPT)

Description:The Chat API, using the `gpt-3.5-turbo` or `gpt-4` model. [See docs here](https://platform.openai.com/docs/api-reference/chat)

Version:0.1.7

Key:openai-chat

View on GitHub

OpenAI (ChatGPT) Overview#

The OpenAI API is a powerful tool that provides access to a range of
high-powered machine learning models. With the OpenAI API, developers can
create products, services, and tools that enable humanizing AI experiences, and
build applications that extend the power of human language.

Using the OpenAI API, developers can create language-driven applications such
as:

Natural language understanding and sentiment analysis
Text-based search
Question answering
Dialogue systems and conversation agents
Intelligent text completion
Text summarization
Text classification
Machine translation
Language generation
Multi-factor authentication
Anomaly detection
Text analysis

Action Code#

import openai from "../../openai.app.mjs";
import common from "../common/common.mjs";

export default {
  ...common,
  name: "Chat",
  version: "0.1.7",
  key: "openai-chat",
  description: "The Chat API, using the `gpt-3.5-turbo` or `gpt-4` model. [See docs here](https://platform.openai.com/docs/api-reference/chat)",
  type: "action",
  props: {
    openai,
    modelId: {
      propDefinition: [
        openai,
        "chatCompletionModelId",
      ],
    },
    userMessage: {
      label: "User Message",
      type: "string",
      description: "The user messages provide instructions to the assistant. They can be generated by the end users of an application, or set by a developer as an instruction.",
    },
    systemInstructions: {
      label: "System Instructions",
      type: "string",
      description: "The system message helps set the behavior of the assistant. For example: \"You are a helpful assistant.\" [See these docs](https://platform.openai.com/docs/guides/chat/instructing-chat-models) for tips on writing good instructions.",
      optional: true,
    },
    messages: {
      label: "Prior Message History",
      type: "string[]",
      description: "_Advanced_. Because [the models have no memory of past chat requests](https://platform.openai.com/docs/guides/chat/introduction), all relevant information must be supplied via the conversation. You can provide [an array of messages](https://platform.openai.com/docs/guides/chat/introduction) from prior conversations here. If this param is set, the action ignores the values passed to **System Instructions** and **Assistant Response**, appends the new **User Message** to the end of this array, and sends it to the API.",
      optional: true,
    },
    images: {
      label: "Images",
      type: "string[]",
      description: "Provide one or more images to [OpenAI's vision model](https://platform.openai.com/docs/guides/vision). Accepts URLs or base64 encoded strings. Compatible with the `gpt4-vision-preview model`",
      optional: true,
    },
    responseFormat: {
      type: "string",
      label: "Response Format",
      description: "Specify the format that the model must output. [Setting to `json_object` guarantees the message the model generates is valid JSON](https://platform.openai.com/docs/api-reference/chat/create#chat-create-response_format). Defaults to `text`",
      options: [
        "text",
        "json_object",
      ],
      optional: true,
      default: "text",
    },
    ...common.props,
  },
  async run({ $ }) {
    const args = this._getChatArgs();

    const response = await this.openai.createChatCompletion({
      $,
      args,
    });

    if (response) {
      $.export("$summary", `Successfully sent chat with id ${response.id}`);
    }

    const { messages } = args;
    return {
      original_messages: messages,
      original_messages_with_assistant_response: messages.concat(response.choices[0]?.message),
      ...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.
User Message	`userMessage`	`string`	The user messages provide instructions to the assistant. They can be generated by the end users of an application, or set by a developer as an instruction.
System Instructions	`systemInstructions`	`string`	The system message helps set the behavior of the assistant. For example: "You are a helpful assistant." See these docs for tips on writing good instructions.
Prior Message History	`messages`	`string[]`	Advanced. Because the models have no memory of past chat requests, all relevant information must be supplied via the conversation. You can provide an array of messages from prior conversations here. If this param is set, the action ignores the values passed to System Instructions and Assistant Response, appends the new User Message to the end of this array, and sends it to the API.
Images	`images`	`string[]`	Provide one or more images to OpenAI's vision model. Accepts URLs or base64 encoded strings. Compatible with the `gpt4-vision-preview model`
Response Format	`responseFormat`	`string`	Select a value from the drop down menu:`textjson_object`
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.

Chat with OpenAI (ChatGPT) API on New High Five Received from 15Five API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), 15Five and 1,600+ other apps remarkably fast.

Trusted by 750,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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