GitHub - klu-ai/swift-grok: unofficial grok api library

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SwiftGrok

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SwiftGrok is a Swift package that provides a client library (GrokClient) for interacting with the Grok AI API developed by xAI. This comes with two implementations of the client, an OpenAI-compatible proxy server (GrokProxy) and a command-line interface (CLI) tool named grok for terminal-based interactions. The package supports features such as multi-turn conversations, reasoning mode, deep search capabilities, and custom instructions, making it perfect for Swift developers building AI-driven applications, integrating with OpenAI-compatible tools, or users seeking direct command-line access to Grok.

This README provides detailed instructions for installation, usage, and configuration, along with examples to help you get started. The package is designed to be extensible and integrates seamlessly into Swift projects via the Swift Package Manager.

Package Description

SwiftGrok consists of three primary components:

  1. GrokClient: A Swift library for programmatic interaction with the Grok API, offering methods to send messages, continue conversations, list past conversations, and retrieve detailed responses. It supports advanced features like reasoning mode, deep search, and custom instructions.
  2. GrokProxy: An OpenAI-compatible proxy server that routes requests through the Grok API, enabling integration with tools expecting OpenAI's API format.
  3. Grok: A command-line tool built on top of GrokClient, providing an interactive chat interface, one-off query execution, and conversation management directly from the terminal.

The package handles authentication via browser-extracted cookies, supports conversation threading for context preservation, and includes structured response models for handling text, web search results, and X posts.

Dependencies

SwiftGrok relies on the following dependencies, which are included via the Swift Package Manager:

  • Rainbow: A Swift library for adding color to terminal output, used in the CLI for enhanced readability. It is automatically included when building the CLI target.

No additional external dependencies are required beyond standard Swift and Foundation libraries. The package is compatible with Swift 6.0 and requires macOS 14.0 or later for CLI usage, with broader platform support (iOS 13.0+, tvOS 13.0+, watchOS 6.0+) for the GrokClient library.

Installation

Swift Package Manager

To integrate SwiftGrok into your Swift project, add it as a dependency in your Package.swift file:

dependencies: [
    .package(url: "https://github.com/klu-ai/swift-grok", from: "1.0.0")
]

Then, include it in your target:

targets: [
    .target(
        name: "YourTarget",
        dependencies: ["GrokClient"]
    )
]

Run swift build to fetch and compile the package.

CLI Installation

To install the grok CLI tool, use the provided installation script:

git clone https://github.com/klu-ai/swift-grok.git
cd swift-grok
./Scripts/install_cli.sh

The script will:

  1. Attempt to extract Grok API cookies from your browser (requires Python 3 and the browsercookie package).
  2. Build the CLI with embedded credentials.
  3. Install the grok binary to your local bin directory (typically /usr/local/bin).

If you prefer to skip automatic cookie extraction, use:

./Scripts/install_cli.sh -s

You will then need to manually configure authentication (see "Authentication" section below).

Prerequisites for CLI Installation

  • Python 3 (for cookie extraction)
  • pip install browsercookie (for the cookie extractor script)
  • Swift 6.0 toolchain

Proxy Installation

To install and run the GrokProxy server, which provides an OpenAI-compatible API endpoint for Grok, use the Docker setup detailed in DOCKER.md. This requires Docker and valid Grok credentials, with options for local or container-based configuration. For additional details, including credential setup and customization, refer to the README in the Sources/GrokProxy folder.

Usage

Using GrokClient Programmatically

The GrokClient class provides a programmatic interface to the Grok API. Below are examples of common use cases.

Basic Message Sending

Initialize the client with authentication cookies and send a message:

import GrokClient

let cookies = [
    "x-anonuserid": "your_anon_user_id",
    "x-challenge": "your_challenge_value",
    "x-signature": "your_signature_value",
    "sso": "your_sso_cookie",
    "sso-rw": "your_sso_rw_cookie"
]

do {
    let client = try GrokClient(cookies: cookies)
    let response = try await client.sendMessage(message: "What is the capital of France?")
    print(response.message)
} catch {
    print("Error: \(error.localizedDescription)")
}

Multi-Turn Conversation

Continue a conversation by maintaining context:

import GrokClient

do {
    let client = try GrokClient(cookies: cookies)
    
    // Start a conversation
    let initialResponse = try await client.sendMessage(message: "Tell me about Swift programming")
    print("Grok: \(initialResponse.message)")
    
    // Continue the conversation
    let followUp = try await client.continueConversation(
        conversationId: initialResponse.conversationId,
        parentResponseId: initialResponse.responseId,
        message: "How does it compare to Objective-C?"
    )
    print("Grok: \(followUp.message)")
} catch {
    print("Error: \(error.localizedDescription)")
}

Using Reasoning Mode

Enable reasoning mode for step-by-step explanations:

let response = try await client.sendMessage(
    message: "Solve: If a train travels at 60 mph, how long to go 240 miles?",
    enableReasoning: true
)
print(response.message)

Using Deep Search

Enable deep search for comprehensive answers:

let response = try await client.sendMessage(
    message: "Latest advancements in quantum computing?",
    enableDeepSearch: true
)
print(response.message)
if let webResults = response.webSearchResults {
    print("Web Search Results:")
    for result in webResults {
        print("- \(result.title): \(result.url)")
    }
}

Listing Conversations

Retrieve past conversations:

let conversations = try await client.listConversations()
for conversation in conversations {
    print("\(conversation.title) (ID: \(conversation.conversationId))")
}

Using GrokCLI

The grok CLI tool provides a terminal-based interface to Grok.

Interactive Chat

Start an interactive session:

Or with an initial message:

Available commands in the chat:

  • /new: Start a new conversation thread
  • /list: View and load past conversations
  • /reason: Toggle reasoning mode
  • /search: Toggle deep search
  • /realtime: Toggle real-time data
  • /private: Toggle private mode (conversations not saved)
  • /quit: Exit the session

One-Off Query

Send a single query and exit:

grok message "What is the meaning of life?"

With options:

grok message --reasoning "Solve this math problem: Convert the point $(0,3)$ in rectangular coordinates to polar coordinates."

Managing Conversations

List and resume past conversations:

Follow the prompt to select a conversation by number and continue it with preserved context.

Authentication

The Grok API requires cookies from a logged-in browser session. SwiftGrok provides tools to extract and configure these credentials.

Generating Credentials

Extract cookies from your browser (Chrome or Firefox):

Ensure you are logged into grok.com in your browser beforehand.

Importing Credentials

Import cookies from a JSON file:

grok auth import /path/to/grok_cookies.json

The JSON file should contain a dictionary with the required cookies: x-anonuserid, x-challenge, x-signature, sso, and sso-rw.

Manual Configuration

Alternatively, initialize GrokClient with cookies directly in code (see "Basic Message Sending" example above).

Configuration

Custom Instructions

For CLI usage, customize Grok's behavior with instructions:

Enter your instructions and save with Ctrl+D (Unix) or Ctrl+Z (Windows). Reset to defaults with:

In code, pass custom instructions to sendMessage or continueConversation:

let response = try await client.sendMessage(
    message: "Explain AI",
    customInstructions: "Provide a detailed technical explanation."
)

Debugging

Enable debug output in the CLI:

Or in code:

let client = try GrokClient(cookies: cookies, isDebug: true)

Troubleshooting

  • Authentication Errors: Ensure cookies are valid and not expired. Re-run grok auth generate after logging into grok.com.
  • No Cookies Found: Log into grok.com in your browser before running the cookie extractor.
  • CLI Not Found: Verify the installation path (/usr/local/bin) is in your $PATH.

Requirements

  • GrokClient: iOS 13.0+, macOS 14.0+, tvOS 13.0+, watchOS 6.0+
  • GrokCLI: macOS 14.0+
  • Swift 6.0+

License

SwiftGrok is released under the MIT License. See LICENSE for details.

Contributing

Contributions are welcome! Please submit pull requests or open issues on the GitHub repository.

Project Structure

  • Sources/GrokClient/: Core library with GrokClient.swift and supporting models.
  • Sources/GrokCLI/: CLI implementation in main.swift.
  • Scripts/: Installation and utility scripts, including cookie_extractor.py.
  • Tests/: Unit tests for GrokClient functionality.

For further assistance, refer to the inline documentation in the source files or contact the maintainers via GitHub Issues.