Deploy Code to GitHub with Natural Language via Slack (Claude 3.5)

This n8n workflow empowers you to deploy code to GitHub using natural language commands sent through Slack. By leveraging the power of an AI Agent (specifically, an Anthropic Claude 3.5 model) and an HTTP Request tool, you can instruct the workflow to create or update files in a GitHub repository simply by typing your request in a Slack channel.

What it does

This workflow automates the process of interacting with GitHub based on Slack messages:

1. Listens for Slack Messages: It triggers when a new message is posted in a configured Slack channel.
2. Prepares Message Content: It extracts and cleans the relevant message text from the Slack event.
3. Processes with AI Agent: It feeds the cleaned Slack message to an AI Agent (Anthropic Chat Model) configured with a GitHub HTTP Request tool. The AI Agent interprets the natural language request and determines the necessary GitHub API calls (e.g., to create or update a file).
4. Executes GitHub Actions: The AI Agent, through the HTTP Request tool, makes the actual API calls to GitHub to perform the requested action (e.g., creating a new file with specified content in a given repository).
5. Confirms in Slack: (Implicit, as there's no explicit Slack "reply" node, but the AI Agent's response would typically be returned to the user or logged).

Prerequisites/Requirements

To use this workflow, you will need:

• n8n Instance: A running n8n instance.
• Slack Account: A Slack workspace and a bot user configured to listen for messages in a specific channel.
• Slack Credentials: An n8n credential for your Slack bot (OAuth scope for channels:read, chat:write, commands, im:read, groups:read, mpim:read).
• Anthropic API Key: An API key for the Anthropic Claude 3.5 model.
• GitHub Account: A GitHub account with a repository where you want to deploy code.
• GitHub Personal Access Token: A GitHub Personal Access Token with appropriate permissions (e.g., repo scope for creating/updating files).
• Langchain Integration: Ensure the @n8n/n8n-nodes-langchain package is installed and enabled in your n8n instance.

Setup/Usage

1. Import the Workflow: Import the provided JSON into your n8n instance.
2. Configure Slack Trigger:
   • Select your Slack credential.
   • Choose the "Message" trigger event.
   • Specify the Slack channel where you will send your natural language commands.
3. Configure Anthropic Chat Model:
   • Select your Anthropic API credential.
   • Ensure the model is set to a Claude 3.5 model (e.g., claude-3-5-sonnet-20240620).
4. Configure HTTP Request Tool:
   • This node acts as a tool for the AI Agent. You will need to configure it to interact with the GitHub API.
   • Set up a credential for GitHub (e.g., using a Personal Access Token).
   • The AI Agent will dynamically generate the HTTP requests, but the base configuration (like authentication) should be set here.
   • Crucially: The AI Agent needs to be instructed on how to use this tool. This is typically done via the "System Message" or "Instructions" in the AI Agent node, detailing the tool's capabilities (e.g., "You have a tool called 'HTTP Request Tool' that can make API calls. Use it to interact with GitHub to create or update files. The base URL for GitHub API is https://api.github.com/repos/{owner}/{repo}/contents/{path} for file operations.").
5. Configure AI Agent:
   • Select the Anthropic Chat Model as the language model.
   • Add the "HTTP Request Tool" to the list of available tools.
   • Craft a detailed "System Message": This is critical. Explain to the AI Agent its role, the tools it has, and how to use them to interact with GitHub. For example:
     • "You are a GitHub deployment assistant. Your task is to create or update files in a GitHub repository based on user requests."
     • "You have access to an 'HTTP Request Tool' which can make API calls. Use it to interact with the GitHub API."
     • "To create or update a file, you will need the repository owner, repository name, file path, file content (base64 encoded), and a commit message."
     • "Example GitHub API endpoint for file content: PUT /repos/{owner}/{repo}/contents/{path}."
     • "Ensure the content is base64 encoded before sending."
6. Activate the Workflow: Once configured, activate the workflow.

Now, you can send messages to your configured Slack channel like:

• "Create a file named hello.txt in my my-repo repository under the main branch with the content 'Hello, n8n!'"
• "Update the README.md file in my-org/project-x with a new line 'Deployed via n8n and Claude 3.5' and commit message 'Update README with deployment info'."

The AI Agent will interpret these requests, formulate the correct GitHub API call using the HTTP Request tool, and execute it.