Convert your codebase into AI-ready prompts

A fast, token-efficient tool that transforms your code into optimized context for Claude, ChatGPT, and other LLMs.

Documentation • Installation • Quick Start • Examples

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The Problem

Working with AI assistants requires code context, but:

• 🔴 Entire repositories exceed token limits
• 🔴 Manual file selection is tedious and error-prone
• 🔴 Standard formats (JSON, XML) waste precious tokens
• 🔴 You never know if you'll hit the context limit until it's too late

The Solution

promptext intelligently filters your codebase, ranks files by relevance, and packages them into token-efficient formats—all within your specified budget.

Why Choose promptext?

Challenge	Manual Approach	promptext Solution
Selecting relevant files	😓 Manually browse and choose	🧠 Automatic relevance scoring
Staying within token limits	❌ Trial and error, wasted API calls	✅ Enforced budgets with preview
Efficient formatting	📝 Verbose markdown/JSON	📦 25-60% token reduction
Token counting	❓ Guesswork	🎯 Accurate tiktoken counting
Processing speed	🐌 Copy-paste each file	⚡ Entire codebase in seconds

Key Features

• 🚀 Fast: Written in Go—processes large codebases in seconds
• 🧠 Smart: Relevance scoring automatically prioritizes important files
• 💰 Budget-Aware: Enforces token limits to prevent context overflow and save on API costs
• 📦 Token-Efficient Formats: PTX (25-30% savings), TOON-strict (30-60% savings), Markdown, or XML
• 🎯 Accurate Counting: Uses cl100k_base tokenizer (GPT-4, GPT-3.5, Claude compatible)
• ⚙️ Highly Configurable: Project-level .promptext.yml and global settings support

Installation

macOS/Linux:

curl -sSL promptext.sh/install | bash

Windows:

irm promptext.sh/install.ps1 | iex

Go Install (requires Go 1.19+):

go install github.com/1broseidon/promptext/cmd/promptext@latest

Manual Download: Download pre-built binaries from GitHub Releases

The executable is installed as promptext with prx alias.

Updating

# Check for updates
prx --check-update

# Update to latest version
prx --update

Uninstall:

curl -sSL promptext.sh/uninstall | bash

Note: promptext automatically checks for new releases once per day and notifies you when updates are available.

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Quick Start

Navigate to your project directory and run:

promptext
# or use the alias
prx

That's it! promptext will:

1. Analyze your project structure
2. Filter out unnecessary files (node_modules, binaries, etc.)
3. Package everything into a token-efficient format (PTX by default)
4. Copy the result to your clipboard

Now paste into ChatGPT, Claude, or your favorite LLM and start coding!

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Use Cases

Perfect for:

• 🔍 AI Code Review — Feed complete projects to Claude/ChatGPT for comprehensive analysis
• 🤖 AI Pair Programming — Provide full context to GitHub Copilot, Cursor, or Windsurf
• 📚 Documentation Generation — Help AI understand your complete project structure
• 🐛 Bug Investigation — Let AI analyze related files together with proper context
• 🔄 Code Migration — Give LLMs full legacy codebase context for refactoring
• 🎯 Prompt Engineering — Create consistent, repeatable AI prompts from code
• 🔌 Library Integration — Use the Go API to integrate code extraction into your AI/ML workflows
• 🛠️ Build Custom Tools — Embed promptext capabilities in your own applications

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Usage

Basic Commands

# Process current directory and copy to clipboard
prx

# Process specific directory
prx /path/to/project

# Filter by file extensions
prx -e .go,.js,.ts

# Output to file (format auto-detected from extension)
prx -o context.ptx      # PTX format
prx -o context.md       # Markdown format  
prx -o project.xml      # XML format

# Show file list and token counts (no output)
prx -i

# Preview file selection without generating output
prx --dry-run

Smart Context Building

Build focused prompts with relevance scoring and token budgets. Start simple and combine options as needed:

# Start simple: Find authentication-related files
prx -r "auth login session"

# Add a token budget for smaller context windows
prx -r "auth login session" --max-tokens 8000

# Narrow down by file extensions
prx -r "auth login session" --max-tokens 8000 -e .go,.js

# Save to a file for reuse
prx -r "auth login session" --max-tokens 8000 -e .go,.js -o auth-context.ptx

# Complex example: Database layer with multiple keywords
prx -r "database SQL postgres migration schema" --max-tokens 12000 -e .go,.sql -o db-layer.ptx

Real-world scenarios:

# Bug investigation: error handling code for limited context LLM
prx -r "error exception handler logging" --max-tokens 5000

# API routes for models with larger context windows
prx -r "api routes handlers middleware" --max-tokens 20000

# Quick security audit: authentication and authorization
prx -r "auth token jwt security session" --max-tokens 10000 -e .go,.js,.ts

How Relevance Scoring Works

Files are ranked by keyword matches with weighted scoring:

Match Location	Score	Example
Filename	10x	auth.go matches "auth"
Directory path	5x	auth/handlers/ matches "auth"
Import statements	3x	import auth matches "auth"
File content	1x	"auth" appears in code

Files with the highest scores are included first until the token budget is exhausted.

Understanding Token Budget Output

When --max-tokens is set, promptext shows exactly what was included:

╭───────────────────────────────────────────────╮
│ 📦 promptext (Go)                             │
│    Included: 7/18 files • ~4,847 tokens       │
│    Full project: 18 files • ~19,512 tokens    │
╰───────────────────────────────────────────────╯

⚠️  Excluded 11 files due to token budget:
    • internal/cli/commands.go (~784 tokens)
    • internal/app/app.go (~60 tokens)
    ... and 9 more files (~8,453 tokens)
    Total excluded: ~9,297 tokens

This helps you understand the trade-offs and adjust your filters or budget as needed.

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Using as a Library

promptext can be used as a Go library in your own applications, allowing you to programmatically extract code context and integrate it into AI/ML workflows.

Installation

go get github.com/1broseidon/promptext/pkg/promptext

Quick Start

package main

import (
    "fmt"
    "log"

    "github.com/1broseidon/promptext/pkg/promptext"
)

func main() {
    // Simple extraction
    result, err := promptext.Extract(".")
    if err != nil {
        log.Fatal(err)
    }

    fmt.Printf("Extracted %d files (%d tokens)\n",
        len(result.ProjectOutput.Files),
        result.TokenCount)

    // Use the formatted output
    fmt.Println(result.FormattedOutput)
}

Common Patterns

Filter by extensions:

result, err := promptext.Extract(".",
    promptext.WithExtensions(".go", ".mod", ".sum"),
    promptext.WithExcludes("*_test.go", "vendor/"),
)

AI-optimized extraction with token budget:

result, err := promptext.Extract(".",
    promptext.WithRelevance("auth", "login"),
    promptext.WithTokenBudget(8000),
    promptext.WithFormat(promptext.FormatPTX),
)

// Send to AI API
sendToAI(result.FormattedOutput)

Reusable extractor:

extractor := promptext.NewExtractor(
    promptext.WithExtensions(".go"),
    promptext.WithTokenBudget(5000),
)

result1, _ := extractor.Extract("/project1")
result2, _ := extractor.Extract("/project2")

Format conversion:

result, _ := promptext.Extract(".", promptext.WithFormat(promptext.FormatPTX))

// Convert to different formats
markdown, _ := result.As(promptext.FormatMarkdown)
jsonl, _ := result.As(promptext.FormatJSONL)

Available Options

• WithExtensions(extensions ...string) - Include specific file extensions
• WithExcludes(patterns ...string) - Exclude files matching patterns
• WithGitIgnore(enabled bool) - Respect .gitignore patterns (default: true)
• WithDefaultRules(enabled bool) - Use built-in filtering rules (default: true)
• WithRelevance(keywords ...string) - Filter by keyword relevance
• WithTokenBudget(maxTokens int) - Limit output to token budget
• WithFormat(format Format) - Set output format (PTX, JSONL, Markdown, XML)
• WithVerbose(enabled bool) - Enable verbose logging
• WithDebug(enabled bool) - Enable debug logging with timing

Output Formats

• FormatPTX - PTX v2.0 (recommended for AI)
• FormatJSONL - Machine-friendly JSONL
• FormatMarkdown - Human-readable markdown
• FormatXML - Machine-parseable XML

Error Handling

result, err := promptext.Extract("/invalid/path")
if err != nil {
    if errors.Is(err, promptext.ErrInvalidDirectory) {
        // Handle invalid directory
    }
    if errors.Is(err, promptext.ErrNoFilesMatched) {
        // Handle no matching files
    }
}

Examples

See the examples/ directory for complete working examples:

• examples/basic/ - Simple usage patterns
• examples/token-budget/ - AI-focused extraction with token limits

For full API documentation, see pkg.go.dev/github.com/1broseidon/promptext/pkg/promptext

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Output Formats

promptext supports multiple output formats optimized for different use cases:

Format	Token Efficiency	Best For
PTX (default)	25-30% reduction	General AI interactions, code analysis
TOON-strict	30-60% reduction	Maximum compression, large codebases
Markdown	Baseline (0%)	Human readability, documentation
XML	-20% (more verbose)	Structured parsing, tool integration

PTX Format (Recommended)

PTX is a hybrid format created specifically for promptext. It balances token efficiency with readability by using explicit file paths and preserving multiline code blocks.

Example:

code:
  "internal/config.go": |
    package config

    type Config struct {
        Port int
    }
  "cmd/server/main.go": |
    package main

    func main() {
        // ...
    }
files[2]{path,ext,lines}:
  internal/config.go,go,67
  cmd/server/main.go,go,45

Why PTX?

• ✅ Zero ambiguity — AI instantly maps code to exact file paths
• ✅ Token efficient — ~30% savings vs. markdown
• ✅ Human readable — No mental translation needed
• ✅ LLM-friendly — Clear structure for better AI comprehension

Switching Formats

# PTX (default) — balanced compression and readability
prx

# TOON-strict — maximum compression
prx -f toon-strict

# Markdown — no compression, human-friendly
prx -f markdown

# XML — structured output
prx -f xml

Format Reference: PTX and TOON-strict are based on johannschopplich/toon

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Configuration

Customize promptext behavior with configuration files. Settings are applied in order (later overrides earlier):

1. Global config: ~/.config/promptext/config.yml
2. Project config: .promptext.yml
3. CLI flags

Project Configuration

Generate a starter configuration file in your project:

prx --init

This creates a .promptext.yml file with sensible defaults. Customize it for your project:

# File extensions to include
extensions:
  - .go
  - .js
  - .ts

# Patterns to exclude (supports glob patterns)
excludes:
  - "vendor/"
  - "node_modules/"
  - "*.test.go"

# Default output format
format: ptx        # Options: ptx, toon-strict, markdown, xml

# Use .gitignore patterns
gitignore: true

# Enable verbose output
verbose: false

Global Configuration

Set defaults for all projects in ~/.config/promptext/config.yml:

extensions:
  - .go
  - .py
  - .js
  - .ts

excludes:
  - "vendor/"
  - "__pycache__/"
  
format: ptx

Default Exclusions

The following are always excluded automatically:

• Version control: .git/, .hg/, .svn/
• Dependencies: node_modules/, vendor/, __pycache__/
• Lock files: *-lock.json, *.lock, Gemfile.lock, poetry.lock, etc.
• Binary files: Detected by content analysis
• Gitignored files: Respects your .gitignore patterns

Tip: Override exclusions with the -x flag or excludes list in your config file.

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Documentation

For comprehensive documentation, visit 1broseidon.github.io/promptext

Topics covered:

• 📖 Configuration Reference — All options and settings
• 🎯 Filtering Rules — How files are selected and excluded
• 🧮 Relevance Scoring — Algorithm details and tuning
• 🔢 Token Counting — Methodology and accuracy
• 📦 Format Specifications — PTX, TOON-strict, Markdown, and XML
• ⚡ Performance — Benchmarks and optimization tips

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Contributing

Contributions are welcome! Whether it's bug reports, feature requests, or code contributions, we'd love your help.

Ways to Contribute

• 🐛 Report bugs — Open an issue
• 💡 Suggest features — Start a discussion
• 📝 Improve docs — Help make documentation clearer
• 🔧 Submit PRs — Fix bugs or add features

Development Setup

# Clone the repository
git clone https://github.com/1broseidon/promptext.git
cd promptext

# Build the project
go build -o prx ./cmd/promptext

# Run tests
go test ./...

# Run with coverage
go test -coverprofile=coverage.out ./...

Pull Request Process

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Make your changes and add tests
4. Ensure tests pass (go test ./...)
5. Commit your changes (git commit -m 'Add amazing feature')
6. Push to your fork (git push origin feature/amazing-feature)
7. Open a Pull Request

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License

This project is licensed under the MIT License — see the LICENSE file for details.

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Built with ❤️ by the promptext community

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