Building Faraday: A Guide to Crafting Your Command-Line AI Companion
In a universe teeming with digital chaos, Faraday emerges as the improbable hero, a command-line Go application designed to converse with AI services. Much like a towel in the hands of a seasoned hitchhiker, Faraday is indispensable for those navigating the vast expanse of artificial intelligence.
Faraday's charm lies in its simplicity. It takes user prompts and, with the grace of a Vogon poet, communicates with an AI service to deliver responses. The application is configured via a YAML file, ensuring that even the most befuddled of users can set it up without resorting to pan-galactic gargle blasters.
Building Faraday is as straightforward as asking for a cup of tea from the Nutri-Matic machine. With a simple task build, you can compile it for your local system. For those with intergalactic ambitions, task release allows you to build it for multiple platforms, ensuring compatibility across the galaxy.
Technical Details: Navigating the Code Cosmos
Faraday's core functionality revolves around its ability to parse command-line arguments and interact with an AI service. The main function processes user input, checking for context files using the @file syntax. It then constructs a request body, including user prompts and optional context, and sends it to the AI service via HTTP POST.
The application utilizes Go's flag package for argument parsing and yaml.v3 for configuration management. It gracefully handles errors, ensuring that even the most catastrophic of failures are met with a polite message rather than a Vogon-like tirade.
File-by-File Guide to Building Faraday
main.go: This is the heart of Faraday. It initializes configuration settings from config.yaml, parses command-line arguments, and communicates with the AI service.
Go
func init() {
exePath, err := os.Executable()
if err != nil {
fmt.Printf("Error getting executable path: %v\n", err)
os.Exit(1)
}
configFilePath := filepath.Join(filepath.Dir(exePath), "config.yaml")
configFile, err := os.Open(configFilePath)
if err != nil {
fmt.Printf("Error opening config file: %v\n", err)
os.Exit(1)
}
defer configFile.Close()
yamlDecoder := yaml.NewDecoder(configFile)
err = yamlDecoder.Decode(&config)
if err != nil {
fmt.Printf("Error decoding config file: %v\n", err)
os.Exit(1)
}
}
func callAIService(prompt string, contextFilePath string) (string, error) {
}
The callAIService() function constructs and sends HTTP requests, handling responses with elegance.
Go
func callAIService(prompt string, contextFilePath string) (string, error) {
}
config.yaml: This file is crucial for configuration, containing the API URL and key. It should reside in the same directory as the executable, ensuring seamless communication with the AI service.
YAML
api:
url: "https://api.example.com"
key: "your-api-key"
Build Process: Ensure Go 1.23 or later is installed, along with Task for task management. Use task build to compile locally, or task release for cross-platform builds:
task build
task release
In conclusion, Faraday is a delightful tool for those seeking to interact with AI services from the comfort of their command line. Its ease of use and configuration make it a must-have for any digital hitchhiker.
For the source and pre-built binaries, check out my repository at https://github.com/jleski/faraday
