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- Added all 29 tools registration in executor (File, Code, Process tools) - Refactored prompts into centralized prompts.ts module - Enhanced code generation with markdown result formatting - Fixed coding module type conflicts by selective exports - Improved agent synthesis to properly display generated code - Added comprehensive IMPLEMENTATION_COMPLETE.md documentation - Created sample my-app project demonstrating project scaffolding - Updated LM Studio configuration (reverted to localhost for flexibility) Key improvements: * File Tools (9): read, write, append, delete, list, copy, move, exists, create_dir * Code Tools (4): generate, modify, scaffold, analyze * Process Tools (5): transform, clean, extract_patterns, convert, summarize * Enhanced display with markdown code block support * Better project creation with ProjectScaffolder integration This completes the full agentic capabilities for The Joker terminal.
- New ReconPipeline with DNS, WHOIS, HTTP headers, SSL/TLS analysis - Tech stack detection (25+ signatures: React, Next.js, Vue, WordPress, etc.) - Email extraction, social link discovery, and screenshot capture - Security score calculator (0-100) based on headers, SSL, DNS records - Markdown report generator saved to ./reports/ - CLI command: recon <domain> (aliases: scan, osint, investigate) - New dependencies: dns2, whois-json, ssl-checker
- New JokerDashboard class with 4-region layout (header, thought pane, tool pane, stats) - Real-time agent state visualization with color-coded states and icons - All 7 agent events wired: state:change, thought, plan:created, step:complete, correction, goal:achieved, goal:failed - Stats bar with live uptime, message count, step progress, model info - Keyboard shortcuts: Tab (cycle panes), q (quit), c (clear), i/Enter (input) - CLI command: tui (aliases: dashboard, ui) toggles dashboard mode - New dependencies: blessed, blessed-contrib, @types/blessed
- New VibeCodingPipeline orchestrator (src/agents/vibe-coder.ts) Prompt analysis scaffold code gen install deps dev server browser - New DevServerManager (src/project/dev-server.ts) Port detection (detect-port), process spawn, readiness polling, browser open (open), tree-kill cleanup - New SYSTEM_PROMPT_VIBE_CODING + createVibeCodingPrompt() in src/llm/prompts.ts - CLI commands: vibe (aliases: build, create-app), vibe-stop - Iterative refinement: live session allows follow-up vibe prompts for HMR updates - New dependencies: open, tree-kill, detect-port, @types/detect-port
…atures - Vibe Coding Mode: natural language to running app pipeline (vibe command) - Hack Mode: automated domain reconnaissance & OSINT (recon command) - TUI Dashboard: real-time split-pane terminal UI (tui command) - Updated help menu with all new commands and examples - Updated README with What's New section, architecture, and directory structure - Added PR description markdown
- Add AirLLM integration: Python sidecar server (airllm_server.py) wrapping 70B models via OpenAI-compatible API, TypeScript bridge (airllm-bridge.ts), LLM client factory for backend switching - Add backend selection prompt at startup (LM Studio vs AirLLM) - Fix command dispatch: REPL now routes through CommandRegistry for all registered commands (airllm, vibe, recon, tui, etc.) - Make banner dynamic: displays actual version, model name, and backend - Make help dynamic: pulls all commands from CommandRegistry by category - Add Docker support: multi-stage Dockerfile, docker-compose.yml, .dockerignore - Version bump to v1.1.1 - Update README with Docker section, v1.1.1 release notes, AirLLM citation - Add 15 unit tests for AirLLMBridge (980 total tests passing) AirLLM citation: Li, G. (2023). AirLLM: scaling large language models on low-end commodity computers. https://github.com/lyogavin/airllm/
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Pull request overview
This PR introduces significant new capabilities to The Joker terminal, transforming it from a basic agentic terminal into a full-featured development assistant with OSINT capabilities, project scaffolding, and support for 70B-parameter models on constrained hardware.
Changes:
- AirLLM Integration: Python sidecar server enabling 70B models on 4GB RAM via layer-wise inference
- Vibe Coding Pipeline: Natural language to running application (scaffold → generate → install → serve)
- Recon Tool: Automated OSINT reconnaissance (DNS, WHOIS, SSL, tech stack detection, security scoring)
- TUI Dashboard: Real-time split-pane visualization of agent thinking and tool execution using blessed
- Docker Support: Production-ready containerization with multi-stage builds
- Enhanced CLI: Dynamic backend selection, improved command dispatch, and 29 registered tools
Reviewed changes
Copilot reviewed 31 out of 31 changed files in this pull request and generated 9 comments.
Show a summary per file
| File | Description |
|---|---|
airllm_server.py |
Python FastAPI server wrapping AirLLM for OpenAI-compatible inference |
src/llm/airllm-bridge.ts |
TypeScript bridge managing Python sidecar lifecycle |
src/llm/factory.ts |
LLM client factory for backend switching |
src/agents/vibe-coder.ts |
End-to-end pipeline: prompt → running app with dev server |
src/tools/recon.ts |
Domain reconnaissance with DNS, WHOIS, SSL, tech stack detection |
src/project/dev-server.ts |
Dev server manager with port detection and process orchestration |
src/cli/dashboard.ts |
Blessed-based TUI with split-pane layout and real-time updates |
src/index.ts |
Command registration for vibe, recon, tui, airllm commands |
src/utils/config.ts |
Added AirLLM configuration with default changed to localhost |
package.json |
Added blessed, dns2, ssl-checker, tree-kill, detect-port, open dependencies |
Dockerfile |
Multi-stage build with Chromium and Python support |
docker-compose.yml |
Compose configuration with volume mounts and networking |
requirements-airllm.txt |
Python dependencies for AirLLM sidecar |
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| model: str = "" | ||
| messages: List[ChatMessage] | ||
| temperature: float = 0.7 | ||
| max_tokens: int = 256 |
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The max_tokens parameter is user-controllable and could lead to resource exhaustion. The ChatCompletionRequest model allows arbitrary max_tokens values without validation. Consider adding a maximum limit (e.g., max_tokens: int = Field(default=256, le=2048)) to prevent users from requesting excessively large token counts that could consume all available resources.
| max_tokens: int = 256 | |
| max_tokens: int = Field(default=256, le=2048) |
| // Spawn the Python process | ||
| this.sidecar = spawn(this.config.pythonPath, args, { | ||
| stdio: ['ignore', 'pipe', 'pipe'], | ||
| env: { ...process.env }, |
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The process spawning does not set a shell=False, which could be a security risk if user input ever reaches the args. While args are currently hardcoded from config, consider explicitly setting shell=False for defense in depth, or validate that args only contains expected values.
| env: { ...process.env }, | |
| env: { ...process.env }, | |
| shell: false, |
| private async waitForHealth( | ||
| maxAttempts: number = 120, | ||
| intervalMs: number = 5000 | ||
| ): Promise<void> { |
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The health check polling uses a very long timeout (120 attempts × 5000ms = 10 minutes) with no user feedback. This could lead to a confusing UX where the application appears frozen. Consider reducing the timeout or adding progress indicators via events that the caller can display.
| const child = spawn(command, args, { | ||
| cwd: projectPath, | ||
| env, | ||
| stdio: ['pipe', 'pipe', 'pipe'], | ||
| shell: true, | ||
| detached: false, | ||
| }); |
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The spawn call uses shell=true which is a security risk. The command and args are controlled by options but could potentially be influenced by user input through the DevServerOptions. Use shell=false and pass command and args separately to prevent command injection attacks.
| async recon(domain: string): Promise<ReconResult> { | ||
| const startTime = Date.now(); | ||
| const cleanDomain = this.cleanDomain(domain); | ||
| log.info(`[Recon] Starting reconnaissance on: ${cleanDomain}`); | ||
|
|
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The recon tool performs network requests and DNS lookups on user-supplied domains without validation. A malicious user could provide internal IP addresses (e.g., 127.0.0.1, 192.168.x.x, 10.x.x.x) to perform SSRF attacks against internal services. Add validation to reject private IP addresses and localhost before performing reconnaissance.
| category: 'general', | ||
| execute: async () => { | ||
| console.log(theme.muted('\nGoodbye! 🃏\n')); | ||
| process.exit(0); |
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The process.exit(0) call will terminate the entire Node.js process immediately, which may not allow proper cleanup of resources (e.g., stopping the AirLLM sidecar, closing database connections, etc.). The cleanup method is called on line 781 but may not complete before exit. Consider returning an exit code instead and letting the caller handle the actual exit, or ensure cleanup completes before calling process.exit.
| process.exit(0); |
| return new Promise<void>((resolve, reject) => { | ||
| const child = spawn('npm', ['install'], { | ||
| cwd: projectPath, | ||
| shell: true, |
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The npm install spawns with shell=true which could be a command injection risk if projectPath contains malicious input. While projectPath is typically controlled by the application, consider using shell=false and ensuring the cwd path is validated or sanitized to prevent potential security issues.
| return new Promise<void>((resolve, reject) => { | |
| const child = spawn('npm', ['install'], { | |
| cwd: projectPath, | |
| shell: true, | |
| const resolvedProjectPath = path.resolve(projectPath); | |
| return new Promise<void>((resolve, reject) => { | |
| const child = spawn('npm', ['install'], { | |
| cwd: resolvedProjectPath, | |
| shell: false, |
| */ | ||
| export const llmConfig: LLMConfig = { | ||
| baseUrl: getEnv('LM_STUDIO_BASE_URL', 'http://192.168.56.1:1234'), | ||
| baseUrl: getEnv('LM_STUDIO_BASE_URL', 'http://localhost:1234'), |
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The default URL for LM Studio has been changed from localhost (127.0.0.1) to a specific local network address (192.168.56.1). This change may break the application for users who haven't configured this specific network setup. This appears to be a development-specific configuration that should not be in the default. Revert to 'http://localhost:1234' as the default.
| "type": "commonjs", | ||
| "dependencies": { | ||
| "axios": "^1.13.2", | ||
| "blessed": "^0.1.81", |
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The blessed types package (@types/blessed) may have compatibility issues with the blessed package version 0.1.81 being used. The blessed package hasn't been updated since 2015 and the types package is community-maintained. Consider using neo-blessed (a maintained fork) instead, or verify that the types are compatible with the ancient blessed version.
🃏 The Joker — Agentic Terminal v1.1.1
Pull Request:
RK-Dev-Beta→main📊 PR Stats
1.1.1🎯 What This PR Achieves
This PR delivers the complete implementation of The Joker Agentic Terminal across 20 development phases, taking the project from initial setup to a fully-featured, tested, Dockerized AI agent with 29 registered tools.
🏗️ Development Phases
Phase 1–4: Foundation
tsconfig.json, ESLint, Prettiersrc/llm/client.ts), prompt templates, response parsingPhase 5: Tool System & Execution
SEARCH,SCRAPE,PROCESS,FILE,CODE)Phase 6: Terminal Interface & UX
chalk-powered displayoraspinnersPhase 7: Autonomous Agent Loop
JokerAgentwith Think → Plan → Act → Observe cyclePhase 8: Data Processing & Output Formatting
transform,clean,extract_patterns,convert,summarizePhase 9: Error Handling & Resilience
Phase 10: Testing Infrastructure
Phase 11: Code Generation Engine
Phase 12: Project Scaffolding System
npm installautomation and directory structure creationPhase 14: File System Indexer
chokidarfor real-time change detectionPhase 15: Code Understanding & Context
Phase 16: Multi-File Operations
Phase 17: Progress Tracking System
progress.mdreportsPhase 18: Build & Development Workflow
Phase 19: Testing & Quality Assurance
test-generator.ts)Phase 20: Deployment Automation
🌟 Headline Features
🎨 Vibe Coding Mode — Natural Language → Running App
Describe an app in plain English and The Joker builds it end-to-end:
npm install+ dev server launch + browser openKey files:
src/agents/vibe-coder.ts,src/project/dev-server.ts🔍 Hack Mode (Recon) — Automated OSINT
One-command passive domain reconnaissance:
./reports/Key file:
src/tools/recon.ts🖥️ TUI Dashboard — Real-Time Agent Visualization
Full-screen interactive terminal dashboard built with
blessed:Tab,q,c,i,Esc)Key file:
src/cli/dashboard.ts🧠 AirLLM Integration — 70B Models on 4GB RAM
Run 70B-parameter LLMs on commodity hardware via layer-wise inference:
airllm_server.py) wrapping models via OpenAI-compatible APIsrc/llm/airllm-bridge.ts) with health checks and process managementsrc/llm/factory.ts) for seamless backend switching.env: model, port, compression (none/4bit/8bit), max length🐳 Docker Support
Production-ready containerization:
.dockerignorefor optimized buildshost.docker.internalfor LM Studio communication from container🔧 29 Registered Tools
web_searchscrape_page,extract_links,take_screenshottransform,clean,extract_patterns,convert,summarizeread_file,write_file,append_file,delete_file,list_dir,copy_file,move_file,file_exists,create_dirgenerate_code,modify_code,scaffold_project,analyze_coderecon(DNS, WHOIS, SSL, headers, tech stack, emails, socials, screenshot)vibe(NL → running app pipeline)📁 Architecture
🧪 Test Coverage
tests/unit/agents/executor.test.tstests/unit/agents/memory.test.tstests/unit/llm/parser.test.tstests/unit/llm/airllm-bridge.test.tstests/unit/coding/analyzer.test.tstests/unit/coding/generator.test.tstests/unit/coding/indexer.test.tstests/unit/coding/parser.test.tstests/unit/coding/templates.test.tstests/unit/coding/test-generator.test.tstests/unit/errors/circuit-breaker.test.tstests/unit/errors/errors.test.tstests/unit/errors/retry.test.tstests/unit/filesystem/multi-file.test.tstests/unit/filesystem/tracker.test.tstests/unit/filesystem/watcher.test.tstests/unit/project/builder.test.tstests/unit/project/deployer.test.tstests/unit/project/packager.test.tstests/unit/project/scaffolder.test.tstests/unit/utils/cache.test.tstests/unit/utils/cleaner.test.ts📝 Documentation Added
README.mdDOCUMENTATION.mdCONTRIBUTING.mdSECURITY.mdLICENSE.md⚙️ Configuration
.env.example🔗 Dependencies Added
blessed/blessed-contribdns2ssl-checkerwhois-jsondetect-porttree-killchokidarinquireropenorauuid🚀 How to Run
Author: Ratna Kirti
Branch:
RK-Dev-BetaVersion:
1.1.1