Connect AI/ML API and Bitbucket
Integrate AI/ML API with Bitbucket to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Create Chat Completion in Aimlapi when Pull Request Opens in Bitbucket
Create Chat Completion in Aimlapi when Pull Request Updated in Bitbucket
Create Chat Completion in Aimlapi when Pull Request Merges in Bitbucket
Create Chat Completion in Aimlapi when Pull Request Approval Changes in Bitbucket
Create Chat Completion in Aimlapi when Repository Created in Bitbucket
Popular AI/ML API + Bitbucket flows
Start from a real workflow other teams are already running.
Choose a trigger
AI/ML API
When this happens...
- Request a new Trigger for AI/ML API
Choose an action
Bitbucket
Automatically do this!
Create Deployment Environment
Create Pull Request
Add Comment to Pull Request
Merge Pull Request
Approve Pull Request
Decline Pull Request
Create Branch or Tag
Create Project in Workspace
Create a snippet comment
Create Repository
Update Pull Request
Merge Pull Request
Create Task on Pull Request
Create Build Status for Commit
Delete Branch or Tag
Create Branch Restriction Rule
Update Branch Restriction Rule
Delete Branch Restriction Rule
Delete Environment
Update Repository
Update Project Settings
Get Pull Request File Changes
Get Pull Request Diff And Diffstat
List Branches and Tags
List Workspace Projects and Check Pull Request Template
List Pull Requests
List Merged Pull Requests by Branch and Date Range
List Pull Requests
Create Chat Completion in Aimlapi when Pull Request Opens in Bitbucket
Use this flowCreate Chat Completion in Aimlapi when Pull Request Updated in Bitbucket
Use this flowCreate Chat Completion in Aimlapi when Pull Request Merges in Bitbucket
Use this flowCreate Chat Completion in Aimlapi when Pull Request Approval Changes in Bitbucket
Use this flowCreate Chat Completion in Aimlapi when Repository Created in Bitbucket
Use this flowCreate Chat Completion in Aimlapi when Code Is Pushed to Bitbucket
Use this flowCreate Chat Completion in Aimlapi when Pipeline State Changed in Bitbucket
Use this flowCreate Chat Completion in Aimlapi when Repository Is Forked in Bitbucket
Use this flowCreate Chat Completion in Aimlapi when Pull Request Decline in Bitbucket
Use this flowCreate Chat Completion in Aimlapi when Pull Request Comment Added on Bitbucket
Use this flowSupported Triggers & Actions
Everything you can automate between AI/ML API and Bitbucket.
When this happensTriggers
A trigger is an event that starts a workflow.
Pull Request Opens
Runs when pull request opens
Pull Request Updated
Runs when pull request updated
Pull Request Merges
Runs when pull request merges
Pull Request Approval Changes
Runs when PR approval changes
Repository Created
Runs when repository created
Code Is Pushed
Runs when Code Is Pushed
Do thisActions
Action is the task that follows automatically within your AI/ML API integrations.
Create Chat Completion
Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.
Create Deployment Environment
Create a deployment environment (e.g., staging or production) for a repository and optionally set its order/priority.
Create Pull Request
Propose merging changes from one branch into another.
Add Comment to Pull Request
Post a comment on a pull request to give feedback, ask questions, or update your team.
Merge Pull Request
Merges an existing pull request.
Approve Pull Request
Approve a pull request
Learn how to build your first workflow
Follow a simple walkthrough to create, test, and launch your first automation.
- 1
Connect your apps
Link the apps you want to automate.
- 2
Configure your workflow
Set up triggers, actions, and map your data.
- 3
Test & publish
Test your workflow and publish it.
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AI will build it for you
Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.
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About AI/ML API
AI/ML API provides advanced artificial intelligence and machine learning capabilities to developers and businesses, enabling them to integrate intelligent features into their applications. With a wide range of AI models and tools, users can enhance their software with capabilities such as natural language processing, image recognition, predictive analytics, and more.
Learn more
About Bitbucket
Bitbucket is a web-based version control repository hosting service, primarily for source code and development projects. It offers both commercial plans and free accounts, providing a platform for developers to manage their code, collaborate on projects, and track changes.
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Frequently Asked Questions
Sign up for a free viaSocket account, then authorize both your AI/ML API and Bitbucket accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between AI/ML API and Bitbucket as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Bitbucket. No coding required.
Yes. You can set up a workflow where AI/ML API triggers actions in Bitbucket, and a separate workflow where Bitbucket triggers actions in AI/ML API. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between AI/ML API and Bitbucket. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire AI/ML API and Bitbucket integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.
