← BitBucket + OpenAI (ChatGPT) integrations

Chat with OpenAI (ChatGPT) API on New Commit Comment (Instant) from BitBucket API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), BitBucket and 2,000+ other apps remarkably fast.

Trigger workflow on
New Commit Comment (Instant) from the BitBucket API
Next, do this
Chat with the OpenAI (ChatGPT) API
No credit card required
Intro to Pipedream
Watch us build a workflow
Watch us build a workflow
4 min
Watch now ➜

Trusted by 800,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo

Developers Pipedream

Getting Started

This integration creates a workflow with a BitBucket trigger and OpenAI (ChatGPT) 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 Commit Comment (Instant) trigger
    1. Connect your BitBucket account
    2. Select a Workspace
    3. Select a Repository
  3. 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
  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 event when a commit receives a comment. [See docs here](https://developer.atlassian.com/cloud/bitbucket/rest/api-group-repositories/#api-repositories-workspace-repo-slug-hooks-post)
Version:0.0.4
Key:bitbucket-new-commit-comment

BitBucket Overview

With the BitBucket API, you can programmatically interact with BitBucket, via
REST calls. This allows you to build apps and integrations on top of BitBucket,
customize and automate your workflows, and much more.

Here are some examples of what you can build with the BitBucket API:

  • Build integrations with 3rd party applications, such as CI/CD tools, chat
    applications, etc.
  • Create custom workflows and automate tasks
  • Build applications that interact with BitBucket (for example, a tool that
    helps you find repositories or users)
  • and much more!

Trigger Code

import common from "../common/common.mjs";
import constants from "../common/constants.mjs";
const { bitbucket } = common.props;

export default {
  ...common,
  type: "source",
  name: "New Commit Comment (Instant)",
  key: "bitbucket-new-commit-comment",
  description: "Emit new event when a commit receives a comment. [See docs here](https://developer.atlassian.com/cloud/bitbucket/rest/api-group-repositories/#api-repositories-workspace-repo-slug-hooks-post)",
  version: "0.0.4",
  props: {
    ...common.props,
    repositoryId: {
      propDefinition: [
        bitbucket,
        "repository",
        (c) => ({
          workspaceId: c.workspaceId,
        }),
      ],
    },
  },
  methods: {
    ...common.methods,
    getPath() {
      return `repositories/${this.workspaceId}/${this.repositoryId}/hooks`;
    },
    getWebhookEventTypes() {
      return [
        "repo:commit_comment_created",
      ];
    },
    async loadHistoricalData() {
      const commits = await this.bitbucket.getCommits({
        workspaceId: this.workspaceId,
        repositoryId: this.repositoryId,
        params: {
          include: this.branchName,
          page: 1,
          pagelen: constants.HISTORICAL_DATA_LENGTH,
        },
      });

      if (commits?.length) {
        let counter = 0;
        let comments = [];
        do {
          const response = await this.bitbucket.getCommitComments({
            workspaceId: this.workspaceId,
            repositoryId: this.repositoryId,
            commitId: commits[counter].hash,
            params: {
              page: 1,
              pagelen: constants.HISTORICAL_DATA_LENGTH,
            },
          });
          comments = [
            ...comments,
            ...response,
          ];
          counter++;
          if (comments.length > constants.HISTORICAL_DATA_LENGTH) {
            break;
          }
          if (counter >= commits.length - 1) {
            break;
          }
        } while (true);

        return comments.map((comment) => ({
          main: comment,
          sub: {
            id: comment.id,
            summary: `New comment created on commit ${comment.commit.hash}`,
            ts: Date.parse(comment.created_on),
          },
        }));
      }
    },
    proccessEvent(event) {
      const { comment } = event.body;

      this.$emit(comment, {
        id: comment.id,
        summary: `New comment created on commit ${comment.commit.hash}`,
        ts: Date.parse(comment.created_on),
      });
    },
  },
};

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
BitBucketbitbucketappThis component uses the BitBucket app.
WorkspaceworkspaceIdstringSelect a value from the drop down menu.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
N/Ahttp$.interface.httpThis component uses $.interface.http to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the run() method of the component.
RepositoryrepositoryIdstringSelect a value from the drop down menu.

Trigger Authentication

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

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

accountaccount:writeteam:writerepository:writepullrequest:writesnippet:writeissue:writeemailwikiwebhook

About BitBucket

Bitbucket Cloud is a Git-based code and CI/CD tool optimized for teams using Jira.

Action

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:0.1.9
Key:openai-chat

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: "0.1.9",
  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.

LabelPropTypeDescription
OpenAI (ChatGPT)openaiappThis component uses the OpenAI (ChatGPT) app.
ModelmodelIdstringSelect a value from the drop down menu.
User MessageuserMessagestring

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 InstructionssystemInstructionsstring

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 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.

Imagesimagesstring[]

Provide one or more images to OpenAI's vision model. Accepts URLs or base64 encoded strings. Compatible with the gpt4-vision-preview model

Response FormatresponseFormatstringSelect a value from the drop down menu:textjson_object
Max TokensmaxTokensinteger

The maximum number of tokens to generate in the completion.

Temperaturetemperaturestring

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 PtopPstring

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.

Nninteger

How many completions to generate for each prompt

Stopstopstring[]

Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.

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 OpenAI to monitor and detect abuse. Learn more here.

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) + BitBucket

Create Image with OpenAI (ChatGPT) API on New Repository Event (Instant) from BitBucket API
BitBucket + OpenAI (ChatGPT)
 
Try it
Create Completion (Send Prompt) with OpenAI (ChatGPT) API on New Repository Event (Instant) from BitBucket API
BitBucket + OpenAI (ChatGPT)
 
Try it
Create Image with OpenAI (ChatGPT) API on New Repository Event (Instant) from BitBucket API
BitBucket + OpenAI (ChatGPT)
 
Try it
Create Image with OpenAI (ChatGPT) API on New Workspace Event (Instant) from BitBucket API
BitBucket + OpenAI (ChatGPT)
 
Try it
Create Image with OpenAI (ChatGPT) API on New Event from any Repository from BitBucket API
BitBucket + OpenAI (ChatGPT)
 
Try it
New Commit (Instant) from the BitBucket API

Emit new event when a new commit is pushed to a branch. See docs here

 
Try it
New Pull Request (Instant) from the BitBucket API

Emit new event when a new pull request is created in a repository. See docs here

 
Try it
New Branch (Instant) from the BitBucket API

Emit new event when a new branch is created. See docs here

 
Try it
New Commit Comment (Instant) from the BitBucket API

Emit new event when a commit receives a comment. See docs here

 
Try it
New Event from any Repository from the BitBucket API

Emit new event when an event occurs from any repository belonging to the user. See docs here

 
Try it
Create Issue Comment with the BitBucket API

Creates a new issue comment. See docs here

 
Try it
Create Snippet Comment with the BitBucket API

Creates a new snippet comment. See docs here

 
Try it
Creates a new issue with the BitBucket API

Creates a new issue. See docs here

 
Try it
Get File From Repository with the BitBucket API

Gets the actual file contents of a download artifact and not the artifact's metadata. See docs here

 
Try it
Get issue with the BitBucket API

Get a issue. See docs here

 
Try it

Explore Other Apps

1
-
24
of
2,000+
apps by most popular

HTTP / Webhook
HTTP / Webhook
Get a unique URL where you can send HTTP or webhook requests
Notion
Notion
Notion is a new tool that blends your everyday work apps into one. It's the all-in-one workspace for you and your team.
OpenAI (ChatGPT)
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.
Schedule
Schedule
Trigger workflows on an interval or cron schedule.
Google Drive
Google Drive
Google Drive is a file storage and synchronization service which allows you to create and share your work online, and access your documents from anywhere.
Google Sheets
Google Sheets
Use Google Sheets to create and edit online spreadsheets. Get insights together with secure sharing in real-time and from any device.
Filter
Filter
Specify a condition that your workflow must meet and whether you'd like to proceed or end workflow execution.
Python
Python
Anything you can do in Python can be done in a Pipedream Workflow. This includes using any of the 350,000+ PyPi packages available in your Python powered workflows.
Slack
Slack
Slack is a channel-based messaging platform. With Slack, people can work together more effectively, connect all their software tools and services, and find the information they need to do their best work — all within a secure, enterprise-grade environment.
Data Stores
Data Stores
Use Pipedream Data Stores to manage state throughout your workflows.
GitHub
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.
Formatting
Formatting
Pre-built actions to make formatting and manipulating data within your workflows easier.
Node
Node
Anything you can do with Node.js, you can do in a Pipedream workflow. This includes using most of npm's 400,000+ packages.
Airtable (OAuth)
Airtable (OAuth)
Airtable is a low-code platform to build next-gen apps. Move beyond rigid tools, operationalize your critical data, and reimagine workflows with AI.
Zoom
Zoom
Zoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and webinars.
Google Calendar
Google Calendar
With Google Calendar, you can quickly schedule meetings and events and get reminders about upcoming activities, so you always know what’s next.
Gmail
Gmail
Gmail offers private and secure email by Google at no cost, for business and consumer accounts.
Gmail (Developer App)
Gmail (Developer App)
Private and secure email by Google at no cost, for business and consumer accounts. Use this app to connect your own developer account credentials.
Email
Email
Trigger workflows on new emails, and send emails to yourself as part of a Pipedream workflow.
Delay
Delay
Delay, pause, suspend, or have the execution of your workflow wait for as little as one millisecond, or as long as one year.
Go
Go
Anything you can do in Go, you can do in a Pipedream Workflow. You can use any of Go packages available with a simple import.
Premium
Zoom Admin
Zoom Admin
Video conferencing (includes account-level scopes) for Zoom Admins.
Twilio
Twilio
Twilio is a cloud communications platform for building SMS, Voice & Messaging applications on an API built for global scale.
Bash
Bash
Run any Bash in a Pipedream step within your workflow, including making curl requests.