← Kanban Tool + Azure OpenAI integrations

Chat with Azure OpenAI API on New Subtask(Checklist Item) Created Event from Kanban Tool API

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New Subtask(Checklist Item) Created Event from the Kanban Tool API
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Chat with the Azure OpenAI API
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Getting Started

This integration creates a workflow with a Kanban Tool trigger and Azure OpenAI 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 Subtask(Checklist Item) Created Event trigger
    1. Connect your Kanban Tool account
    2. Configure timer
    3. Select a Board ID
    4. Select a Task ID
  3. Configure the Chat action
    1. Connect your Azure OpenAI account
    2. Configure User Message
    3. Optional- Configure System Instructions
    4. Optional- Configure Prior Message History
    5. Optional- Configure Temperature
    6. Optional- Configure N
    7. Optional- Configure Stream
    8. Optional- Configure Stop
    9. Optional- Configure Max Tokens
    10. Optional- Configure Presence Penalty
    11. Optional- Configure Frequency Penalty
    12. Optional- Configure User
  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 events when a new subtask is created on selected task. [See the docs](https://kanbantool.com/developer/api-v3#fetching-tasks-details)
Version:0.0.1
Key:kanban_tool-new-subtask

Kanban Tool Overview

The Kanban Tool API allows for the seamless integration and manipulation of Kanban boards, tasks, and workflows to optimize project management and team collaboration. By leveraging this API on Pipedream, you can automate task updates, synchronize boards with other data sources, and create custom notifications—thus enhancing productivity and maintaining momentum across projects.

Trigger Code

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

export default {
  ...common,
  key: "kanban_tool-new-subtask",
  name: "New Subtask(Checklist Item) Created Event",
  description: "Emit new events when a new subtask is created on selected task. [See the docs](https://kanbantool.com/developer/api-v3#fetching-tasks-details)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    boardId: {
      propDefinition: [
        common.props.app,
        "boardId",
      ],
    },
    taskId: {
      propDefinition: [
        common.props.app,
        "taskId",
        (configuredProps) => ({
          boardId: configuredProps.boardId,
        }),
      ],
    },
  },
  methods: {
    ...common.methods,
    getResourceFnConfig() {
      return {
        resourceFn: this.app.getTask,
        resourceKey: "subtasks",
        resourceFnArgs: {
          taskId: this.taskId,
        },
        pagingCfg: {
          noPaging: true,
        },
      };
    },
    getComparable(item) {
      return new Date(item.created_at).getTime();
    },
    getMeta(item) {
      return {
        id: item?.id,
        summary: `New subtask created: ${item.name}(ID: ${item.id})`,
        ts: new Date(item?.created_at).getTime(),
      };
    },
  },
};

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
Kanban ToolappappThis component uses the Kanban Tool app.
timer$.interface.timer
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Board IDboardIdintegerSelect a value from the drop down menu.
Task IDtaskIdintegerSelect a value from the drop down menu.

Trigger Authentication

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

To get your API Token, sign in to your Kanban Tool account, and go to My Profile then API access.
If your Kanban Tool URL is https://123.kanbantool.com/, your domain is 123.

About Kanban Tool

Kanban Tool is a visual management solution that helps companies visualize workflow, track project progress, and analyze and significantly improve business processes. Kanban Tool provides powerful online Kanban boards with seamless time tracking.

Action

Description:Create completions for chat messages with the GPT-35-Turbo and GPT-4 models. [See the documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#chat-completions)
Version:0.0.1
Key:azure_openai_service-chat

Azure OpenAI Overview

The Azure OpenAI Service API provides access to powerful AI models that can understand and generate human-like text. With Pipedream, you can harness this capability to create a variety of serverless workflows, automating tasks like content creation, code generation, and language translation. By integrating the API with other apps on Pipedream, you can streamline processes, analyze sentiment, and even automate customer support.

Action Code

import azureOpenAI from "../../azure_openai_service.app.mjs";
import common from "../common/common.mjs";

export default {
  ...common,
  key: "azure_openai_service-chat",
  name: "Chat",
  description: "Create completions for chat messages with the GPT-35-Turbo and GPT-4 models. [See the documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#chat-completions)",
  version: "0.0.1",
  type: "action",
  props: {
    azureOpenAI,
    userMessage: {
      type: "string",
      label: "User Message",
      description: "The user messages to provide instructions to the assistant.",
    },
    systemInstructions: {
      label: "System Instructions",
      type: "string",
      description: "The system message helps set the behavior of the assistant. For example: \"You are a helpful assistant.\"",
      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,
    },
    ...common.props,
  },
  async run({ $ }) {
    const data = this._getChatArgs();
    const response = await this.azureOpenAI.createChatCompletion({
      data,
      $,
    });

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

    const { messages } = data;
    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.

LabelPropTypeDescription
Azure OpenAIazureOpenAIappThis component uses the Azure OpenAI app.
User MessageuserMessagestring

The user messages to provide instructions to the assistant.

System InstructionssystemInstructionsstring

The system message helps set the behavior of the assistant. For example: "You are a helpful assistant."

Prior Message Historymessagesstring[]

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.

Temperaturetemperaturestring

What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.

Nninteger

How many completions to generate

Streamstreamboolean

If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message.

Stopstopstring

Up to 4 sequences where the API will stop generating further tokens.

Max TokensmaxTokensinteger

The maximum number of tokens allowed for the generated answer. By default, the number of tokens the model can return will be (4096 - prompt tokens).

Presence PenaltypresencePenaltystring

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 PenaltyfrequencyPenaltystring

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.

Useruserstring

A unique identifier representing your end-user, which can help Azure OpenAI to monitor and detect abuse.

Action Authentication

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

About Azure OpenAI

Apply large language models and generative AI to a variety of use cases

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