Analyze Call with Bland AI API on New Branch Created from GitHub API

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New Branch Created from the GitHub API

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Analyze Call with the Bland AI API

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Getting Started#

This integration creates a workflow with a GitHub trigger and Bland AI action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Branch Created trigger
1. Connect your GitHub account
2. Select a Repository
Configure the Analyze Call action
1. Connect your Bland AI account
2. Select a Call ID
3. Configure Goal
4. Configure Questions
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 Branch Created on GitHub

Description:Emit new event when a branch is created.

Version:1.0.9

Key:github-new-branch

View on GitHub

GitHub Overview#

The GitHub API is a powerful gateway to interaction with GitHub's vast web of data and services, offering a suite of endpoints to manipulate and retrieve information on repositories, pull requests, issues, and more. Harnessing this API on Pipedream, you can orchestrate automated workflows that respond to events in real-time, manage repository data, streamline collaborative processes, and connect GitHub with other services for a more integrated development lifecycle.

Trigger Code#

import common from "../common/common-flex.mjs";
import {
  getSampleTimerEvent, getSampleWebhookEvent,
} from "./common-sample-events.mjs";

export default {
  ...common,
  key: "github-new-branch",
  name: "New Branch Created",
  description: "Emit new event when a branch is created.",
  version: "1.0.9",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getSampleTimerEvent,
    getSampleWebhookEvent,
    getWebhookEvents() {
      return [
        "create",
      ];
    },
    shouldEmitWebhookEvent(body) {
      return body?.ref_type === "branch";
    },
    getId(item) {
      return item.ref ?? item.name;
    },
    getSummary(item) {
      return `New branch: ${this.getId(item)}`;
    },
    getPollingData(args) {
      return this.github.getBranches(args);
    },
    getHttpDocsLink() {
      return "https://docs.github.com/en/webhooks/webhook-events-and-payloads#create";
    },
    getTimerDocsLink() {
      return "https://docs.github.com/en/rest/branches/branches?apiVersion=2022-11-28#list-branches";
    },
  },
};

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
GitHub	`github`	`app`	This component uses the GitHub app.
Repository	`repoFullname`	`string`	Select a value from the drop down menu.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.

Trigger Authentication#

GitHub uses OAuth authentication. When you connect your GitHub account, Pipedream will open a popup window where you can sign into GitHub and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any GitHub API.

Pipedream requests the following authorization scopes when you connect your account:

repoadmin:orgadmin:public_keyadmin:org_hookgistprojectnotificationsuserwrite:discussionwrite:packagesread:packagesadmin:repo_hook

About GitHub#

Where the world builds software. Millions of developers and companies build, ship, and maintain their software on GitHub—the largest and most advanced development platform in the world.

Action#

Analyze Call on Bland AI

Description:Analyzes an input call, extracting structured data and providing insights. [See the documentation](https://docs.bland.ai/api-v1/post/calls-id-analyze)

Version:0.0.1

Key:bland_ai-analyze-call

View on GitHub

Bland AI Overview#

The Bland AI API offers a suite of artificial intelligence services, which, when integrated with Pipedream, can automate tasks, analyze data, and enhance applications with machine learning capabilities. Through Pipedream's serverless platform, you can connect Bland AI with various apps to create custom workflows, process data, and respond to events in real time without managing infrastructure.

Action Code#

import blandAi from "../../bland_ai.app.mjs";

export default {
  key: "bland_ai-analyze-call",
  name: "Analyze Call",
  description: "Analyzes an input call, extracting structured data and providing insights. [See the documentation](https://docs.bland.ai/api-v1/post/calls-id-analyze)",
  version: "0.0.1",
  type: "action",
  props: {
    blandAi,
    callId: {
      propDefinition: [
        blandAi,
        "callId",
      ],
    },
    goal: {
      propDefinition: [
        blandAi,
        "goal",
      ],
    },
    questions: {
      propDefinition: [
        blandAi,
        "questions",
      ],
    },
  },
  async run({ $ }) {
    const response = await this.blandAi.analyzeCall({
      $,
      callId: this.callId,
      data: {
        goal: this.goal,
        questions: this.questions?.map?.((str) => typeof str === "string"
          ? JSON.parse(str)
          : str),
      },
    });
    $.export("$summary", "Call analyzed successfully");
    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
Bland AI	`blandAi`	`app`	This component uses the Bland AI app.
Call ID	`callId`	`string`	Select a value from the drop down menu.
Goal	`goal`	`string`	This is the overall purpose of the call. Provides context for the analysis to guide how the questions/transcripts are interpreted.
Questions	`questions`	`string[]`	An array of questions to be analyzed for the call. Each question should be an array with two elements: the question text and the expected answer type. Examples: `["Who answered the call?", "human or voicemail"]`, `["Positive feedback about the product: ", "string"]`

Analyze Call with Bland AI API on New Branch Created from GitHub API

Pipedream makes it easy to connect APIs for Bland AI, GitHub 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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