Below is an example to help you understand how you can create a regular action on any Tegon event.

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Example Task

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Bug Enricher

Whenever an issue is created in Tegon and labeled as bug then create an action which call OpenAI to search for possible solution and put the solution as a comment of that issue.

  1. Create a new folder for this action
mkdir bug-resolution
  1. Now run our cli command, this will create the basic folder structure for action.
npx @tegonhq/cli init
  1. Let’s edit the config.json as below to tell Tegon to trigger the function when issue is created.
bug-resolution/config.json
{
  "slug": "bug-resolver",
  "name": "Bug Resolver",
  "triggers": [
    {
      "type": "on_create",
      "entities": ["Issue"]
    }
  ],
  "integrations": []
}
  1. Then let’s edit the index.ts with the below content
bug-resolution/index.ts
import { ActionEventPayload } from '@tegonhq/sdk';
import {
  ActionEventPayload,
  createIssueComment,
  getLabels,
  Label,
  getIssueById,
  getAIRequest,
} from '@tegonhq/sdk';
import axios from 'axios';

export async function run(eventPayload: ActionEventPayload) {
  const { modelId: issueId, action } = actionPayload;
  const { data: actionInput } = action;

  const issue = await getIssueById({ issueId });

  // Get all labels for the workspace
  const labels = await getLabels({
    workspaceId: issue.team.workspaceId,
    teamId: issue.teamId,
  });

  // Map the labels of the issue with all labels
  const labelMap = Object.fromEntries(
    labels.map((label: Label) => [label.id, label.name]),
  );

  // Check if bug label is assigned to issue
  const hasBugLabel = issue.labelIds.some(
    (labelId: string) => labelMap[labelId].toLowerCase() === 'bug',
  );

  if (!hasBugLabel) {
    return null;
  }

  const requestData = {
    messages: [
      { role: 'system', content: PARTIAL_SOLUTION_PROMPT },
      {
        role: 'user',
        content: `[INPUT] bug_description: ${issue.description}`,
      },
    ],
    llmModel: LLMMappings.GPT35TURBO,
    model: 'BugSuggestion',
    workspaceId: issue.team.workspaceId,
  };

  const aiResponse = await getAIRequest(requestData);

  const pattern = /\[OUTPUT\]\s*([\s\S]*)/;
  const match = aiResponse.match(pattern);
  let response;
  [, response] = match;

  const tiptapJson = await convertMarkdownToTiptapJson(response);

  return await createIssueComment({
    issueId,
    body: tiptapJson,
  });
}

You can check the prompt here.

  1. Finally you can deploy the action to your workspace.
TOKEN=<your-pat> npx @tegonhq/cli deploy --workspace-id="<workspace-id>"
You can find the whole code for this example trigger here

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