# Aider: 코드 생성 및 수정 -weight: 500;">pip -weight: 500;">install aider # Continue.dev: VS Code 확장 + CLI -weight: 500;">npm -weight: 500;">install -g @continue_dev/cli # OpenCode: GitHub 기반 -weight: 500;">pip -weight: 500;">install opencode # 커스텀 스크립트: 최대한의 커스터마이즈 # Aider: 코드 생성 및 수정 -weight: 500;">pip -weight: 500;">install aider # Continue.dev: VS Code 확장 + CLI -weight: 500;">npm -weight: 500;">install -g @continue_dev/cli # OpenCode: GitHub 기반 -weight: 500;">pip -weight: 500;">install opencode # 커스텀 스크립트: 최대한의 커스터마이즈 # Aider: 코드 생성 및 수정 -weight: 500;">pip -weight: 500;">install aider # Continue.dev: VS Code 확장 + CLI -weight: 500;">npm -weight: 500;">install -g @continue_dev/cli # OpenCode: GitHub 기반 -weight: 500;">pip -weight: 500;">install opencode # 커스텀 스크립트: 최대한의 커스터마이즈 # -weight: 500;">docker-compose.yml version: '3.8' services: llama-server: image: ghcr.io/ggerganov/llama.cpp:latest command: | --model models/llama-3-8b-instruct.Q4_K_M.gguf --port 8080 --host 0.0.0.0 --n-gpu-layers 35 volumes: - ./models:/models ports: - "8080:8080" deploy: resources: reservations: devices: - driver: nvidia count: all capabilities: [gpu] # -weight: 500;">docker-compose.yml version: '3.8' services: llama-server: image: ghcr.io/ggerganov/llama.cpp:latest command: | --model models/llama-3-8b-instruct.Q4_K_M.gguf --port 8080 --host 0.0.0.0 --n-gpu-layers 35 volumes: - ./models:/models ports: - "8080:8080" deploy: resources: reservations: devices: - driver: nvidia count: all capabilities: [gpu] # -weight: 500;">docker-compose.yml version: '3.8' services: llama-server: image: ghcr.io/ggerganov/llama.cpp:latest command: | --model models/llama-3-8b-instruct.Q4_K_M.gguf --port 8080 --host 0.0.0.0 --n-gpu-layers 35 volumes: - ./models:/models ports: - "8080:8080" deploy: resources: reservations: devices: - driver: nvidia count: all capabilities: [gpu] # API 서버 시작 -weight: 500;">docker-compose up -d # 테스트 명령어 -weight: 500;">curl -X POST http://localhost:8080/completion \ -H "Content-Type: application/json" \ -d '{ "prompt": "Write a Python function to calculate Fibonacci numbers", "n_predict": 100 }' # API 서버 시작 -weight: 500;">docker-compose up -d # 테스트 명령어 -weight: 500;">curl -X POST http://localhost:8080/completion \ -H "Content-Type: application/json" \ -d '{ "prompt": "Write a Python function to calculate Fibonacci numbers", "n_predict": 100 }' # API 서버 시작 -weight: 500;">docker-compose up -d # 테스트 명령어 -weight: 500;">curl -X POST http://localhost:8080/completion \ -H "Content-Type: application/json" \ -d '{ "prompt": "Write a Python function to calculate Fibonacci numbers", "n_predict": 100 }' # ai_agent.py import openai import json import subprocess from typing import List, Dict import os class TerminalAIAgent: def __init__(self, api_base="http://localhost:8080"): self.client = openai.OpenAI( base_url=api_base, api_key="EMPTY" ) def call_function(self, function_name: str, args: dict) -> str: """함수 호출""" if function_name == "execute_command": return self.execute_command(args["command"]) elif function_name == "read_file": return self.read_file(args["filepath"]) elif function_name == "write_file": return self.write_file(args["filepath"], args["content"]) return "Unknown function" def execute_command(self, command: str) -> str: """명령어 실행""" try: result = subprocess.run( command, shell=True, capture_output=True, text=True ) return result.stdout + result.stderr except Exception as e: return f"Error: {str(e)}" def read_file(self, filepath: str) -> str: """파일 읽기""" try: with open(filepath, 'r') as f: return f.read() except Exception as e: return f"Error reading file: {str(e)}" def write_file(self, filepath: str, content: str) -> str: """파일 쓰기""" try: os.makedirs(os.path.dirname(filepath), exist_ok=True) with open(filepath, 'w') as f: f.write(content) return f"File written to {filepath}" except Exception as e: return f"Error writing file: {str(e)}" def process_request(self, user_prompt: str) -> str: """사용자 요청 처리""" messages = [ {"role": "system", "content": "You are a helpful coding assistant. Use available functions to help the user."}, {"role": "user", "content": user_prompt} ] # 함수 호출 정의 tools = [ { "type": "function", "function": { "name": "execute_command", "description": "Execute shell commands", "parameters": { "type": "object", "properties": { "command": {"type": "string", "description": "Shell command to execute"} }, "required": ["command"] } } }, { "type": "function", "function": { "name": "read_file", "description": "Read file content", "parameters": { "type": "object", "properties": { "filepath": {"type": "string", "description": "Path to file"} }, "required": ["filepath"] } } }, { "type": "function", "function": { "name": "write_file", "description": "Write content to file", "parameters": { "type": "object", "properties": { "filepath": {"type": "string", "description": "Path to file"}, "content": {"type": "string", "description": "Content to write"} }, "required": ["filepath", "content"] } } } ] response = self.client.chat.completions.create( model="local-model", messages=messages, tools=tools, tool_choice="auto" ) return response.choices[0].message.content # 사용법 if __name__ == "__main__": agent = TerminalAIAgent() while True: prompt = input("AI Agent> ") if prompt.lower() in ['quit', 'exit']: break result = agent.process_request(prompt) print(result) # ai_agent.py import openai import json import subprocess from typing import List, Dict import os class TerminalAIAgent: def __init__(self, api_base="http://localhost:8080"): self.client = openai.OpenAI( base_url=api_base, api_key="EMPTY" ) def call_function(self, function_name: str, args: dict) -> str: """함수 호출""" if function_name == "execute_command": return self.execute_command(args["command"]) elif function_name == "read_file": return self.read_file(args["filepath"]) elif function_name == "write_file": return self.write_file(args["filepath"], args["content"]) return "Unknown function" def execute_command(self, command: str) -> str: """명령어 실행""" try: result = subprocess.run( command, shell=True, capture_output=True, text=True ) return result.stdout + result.stderr except Exception as e: return f"Error: {str(e)}" def read_file(self, filepath: str) -> str: """파일 읽기""" try: with open(filepath, 'r') as f: return f.read() except Exception as e: return f"Error reading file: {str(e)}" def write_file(self, filepath: str, content: str) -> str: """파일 쓰기""" try: os.makedirs(os.path.dirname(filepath), exist_ok=True) with open(filepath, 'w') as f: f.write(content) return f"File written to {filepath}" except Exception as e: return f"Error writing file: {str(e)}" def process_request(self, user_prompt: str) -> str: """사용자 요청 처리""" messages = [ {"role": "system", "content": "You are a helpful coding assistant. Use available functions to help the user."}, {"role": "user", "content": user_prompt} ] # 함수 호출 정의 tools = [ { "type": "function", "function": { "name": "execute_command", "description": "Execute shell commands", "parameters": { "type": "object", "properties": { "command": {"type": "string", "description": "Shell command to execute"} }, "required": ["command"] } } }, { "type": "function", "function": { "name": "read_file", "description": "Read file content", "parameters": { "type": "object", "properties": { "filepath": {"type": "string", "description": "Path to file"} }, "required": ["filepath"] } } }, { "type": "function", "function": { "name": "write_file", "description": "Write content to file", "parameters": { "type": "object", "properties": { "filepath": {"type": "string", "description": "Path to file"}, "content": {"type": "string", "description": "Content to write"} }, "required": ["filepath", "content"] } } } ] response = self.client.chat.completions.create( model="local-model", messages=messages, tools=tools, tool_choice="auto" ) return response.choices[0].message.content # 사용법 if __name__ == "__main__": agent = TerminalAIAgent() while True: prompt = input("AI Agent> ") if prompt.lower() in ['quit', 'exit']: break result = agent.process_request(prompt) print(result) # ai_agent.py import openai import json import subprocess from typing import List, Dict import os class TerminalAIAgent: def __init__(self, api_base="http://localhost:8080"): self.client = openai.OpenAI( base_url=api_base, api_key="EMPTY" ) def call_function(self, function_name: str, args: dict) -> str: """함수 호출""" if function_name == "execute_command": return self.execute_command(args["command"]) elif function_name == "read_file": return self.read_file(args["filepath"]) elif function_name == "write_file": return self.write_file(args["filepath"], args["content"]) return "Unknown function" def execute_command(self, command: str) -> str: """명령어 실행""" try: result = subprocess.run( command, shell=True, capture_output=True, text=True ) return result.stdout + result.stderr except Exception as e: return f"Error: {str(e)}" def read_file(self, filepath: str) -> str: """파일 읽기""" try: with open(filepath, 'r') as f: return f.read() except Exception as e: return f"Error reading file: {str(e)}" def write_file(self, filepath: str, content: str) -> str: """파일 쓰기""" try: os.makedirs(os.path.dirname(filepath), exist_ok=True) with open(filepath, 'w') as f: f.write(content) return f"File written to {filepath}" except Exception as e: return f"Error writing file: {str(e)}" def process_request(self, user_prompt: str) -> str: """사용자 요청 처리""" messages = [ {"role": "system", "content": "You are a helpful coding assistant. Use available functions to help the user."}, {"role": "user", "content": user_prompt} ] # 함수 호출 정의 tools = [ { "type": "function", "function": { "name": "execute_command", "description": "Execute shell commands", "parameters": { "type": "object", "properties": { "command": {"type": "string", "description": "Shell command to execute"} }, "required": ["command"] } } }, { "type": "function", "function": { "name": "read_file", "description": "Read file content", "parameters": { "type": "object", "properties": { "filepath": {"type": "string", "description": "Path to file"} }, "required": ["filepath"] } } }, { "type": "function", "function": { "name": "write_file", "description": "Write content to file", "parameters": { "type": "object", "properties": { "filepath": {"type": "string", "description": "Path to file"}, "content": {"type": "string", "description": "Content to write"} }, "required": ["filepath", "content"] } } } ] response = self.client.chat.completions.create( model="local-model", messages=messages, tools=tools, tool_choice="auto" ) return response.choices[0].message.content # 사용법 if __name__ == "__main__": agent = TerminalAIAgent() while True: prompt = input("AI Agent> ") if prompt.lower() in ['quit', 'exit']: break result = agent.process_request(prompt) print(result) # tmux 세션 생성 tmux new-session -d -s ai_session # 세션에 명령어 전달 tmux send-keys -t ai_session "python ai_agent.py" Enter # 세션에 파일 전송 tmux send-keys -t ai_session "cat main.py" Enter # tmux 세션 생성 tmux new-session -d -s ai_session # 세션에 명령어 전달 tmux send-keys -t ai_session "python ai_agent.py" Enter # 세션에 파일 전송 tmux send-keys -t ai_session "cat main.py" Enter # tmux 세션 생성 tmux new-session -d -s ai_session # 세션에 명령어 전달 tmux send-keys -t ai_session "python ai_agent.py" Enter # 세션에 파일 전송 tmux send-keys -t ai_session "cat main.py" Enter # tmux 스크립트 #!/bin/bash # ai_tmux.sh SESSION_NAME="ai_dev" WINDOW_NAME="agent" # 세션이 존재하는지 확인 if ! tmux has-session -t $SESSION_NAME 2>/dev/null; then # 새 세션 생성 tmux new-session -d -s $SESSION_NAME tmux new-window -t $SESSION_NAME:$WINDOW_NAME fi # 윈도우로 전환 tmux select-window -t $SESSION_NAME:$WINDOW_NAME # 작업 디렉토리 설정 tmux send-keys -t $SESSION_NAME:$WINDOW_NAME "cd ~/projects/myapp" Enter tmux send-keys -t $SESSION_NAME:$WINDOW_NAME "export PYTHONPATH=." Enter echo "AI session ready in tmux" # tmux 스크립트 #!/bin/bash # ai_tmux.sh SESSION_NAME="ai_dev" WINDOW_NAME="agent" # 세션이 존재하는지 확인 if ! tmux has-session -t $SESSION_NAME 2>/dev/null; then # 새 세션 생성 tmux new-session -d -s $SESSION_NAME tmux new-window -t $SESSION_NAME:$WINDOW_NAME fi # 윈도우로 전환 tmux select-window -t $SESSION_NAME:$WINDOW_NAME # 작업 디렉토리 설정 tmux send-keys -t $SESSION_NAME:$WINDOW_NAME "cd ~/projects/myapp" Enter tmux send-keys -t $SESSION_NAME:$WINDOW_NAME "export PYTHONPATH=." Enter echo "AI session ready in tmux" # tmux 스크립트 #!/bin/bash # ai_tmux.sh SESSION_NAME="ai_dev" WINDOW_NAME="agent" # 세션이 존재하는지 확인 if ! tmux has-session -t $SESSION_NAME 2>/dev/null; then # 새 세션 생성 tmux new-session -d -s $SESSION_NAME tmux new-window -t $SESSION_NAME:$WINDOW_NAME fi # 윈도우로 전환 tmux select-window -t $SESSION_NAME:$WINDOW_NAME # 작업 디렉토리 설정 tmux send-keys -t $SESSION_NAME:$WINDOW_NAME "cd ~/projects/myapp" Enter tmux send-keys -t $SESSION_NAME:$WINDOW_NAME "export PYTHONPATH=." Enter echo "AI session ready in tmux" python # custom_tools.py import os import subprocess import re from typing import List class CodeSearchTool: """코드 검색 도구""" @staticmethod def search_code(pattern: str, directory: str = ".") -> List[str]: """정규 표현식으로 코드 검색""" results = [] try: cmd = f"find {directory} -name '*.py' -type f -exec grep -l '{pattern}' {{}} \\;" output = subprocess.check_output(cmd, shell=True, text=True) files = output.strip().split('\n') for file in files: if file: results.append(file) except: pass return results @staticmethod def grep_content(pattern: str, directory: str = ".") -> List[str]: """내용 검색""" try: cmd = f"find {directory} -name '*.py' -type f -exec grep -n '{pattern}' {{}} \\;" output = subprocess.check_output(cmd, shell=True, text=True) return output.strip().split('\n') except: return [] class GitTool: """Git 도구""" @staticmethod def get_recent_commits(n: int = 5) -> str: """최근 커밋 목록 가져오기""" try: cmd = f"-weight: 500;">git log --oneline -{n}" output = subprocess.check_output(cmd, shell=True, text=True) return output.strip() except: return "No -weight: 500;">git repository" @staticmethod def get_status() -> str: """Git 상태""" try: cmd = "-weight: 500;">git -weight: 500;">status --- 📥 **Get the full guide on Gumroad**: https://gumroad.com/l/auto ($5) python # custom_tools.py import os import subprocess import re from typing import List class CodeSearchTool: """코드 검색 도구""" @staticmethod def search_code(pattern: str, directory: str = ".") -> List[str]: """정규 표현식으로 코드 검색""" results = [] try: cmd = f"find {directory} -name '*.py' -type f -exec grep -l '{pattern}' {{}} \\;" output = subprocess.check_output(cmd, shell=True, text=True) files = output.strip().split('\n') for file in files: if file: results.append(file) except: pass return results @staticmethod def grep_content(pattern: str, directory: str = ".") -> List[str]: """내용 검색""" try: cmd = f"find {directory} -name '*.py' -type f -exec grep -n '{pattern}' {{}} \\;" output = subprocess.check_output(cmd, shell=True, text=True) return output.strip().split('\n') except: return [] class GitTool: """Git 도구""" @staticmethod def get_recent_commits(n: int = 5) -> str: """최근 커밋 목록 가져오기""" try: cmd = f"-weight: 500;">git log --oneline -{n}" output = subprocess.check_output(cmd, shell=True, text=True) return output.strip() except: return "No -weight: 500;">git repository" @staticmethod def get_status() -> str: """Git 상태""" try: cmd = "-weight: 500;">git -weight: 500;">status --- 📥 **Get the full guide on Gumroad**: https://gumroad.com/l/auto ($5) python # custom_tools.py import os import subprocess import re from typing import List class CodeSearchTool: """코드 검색 도구""" @staticmethod def search_code(pattern: str, directory: str = ".") -> List[str]: """정규 표현식으로 코드 검색""" results = [] try: cmd = f"find {directory} -name '*.py' -type f -exec grep -l '{pattern}' {{}} \\;" output = subprocess.check_output(cmd, shell=True, text=True) files = output.strip().split('\n') for file in files: if file: results.append(file) except: pass return results @staticmethod def grep_content(pattern: str, directory: str = ".") -> List[str]: """내용 검색""" try: cmd = f"find {directory} -name '*.py' -type f -exec grep -n '{pattern}' {{}} \\;" output = subprocess.check_output(cmd, shell=True, text=True) return output.strip().split('\n') except: return [] class GitTool: """Git 도구""" @staticmethod def get_recent_commits(n: int = 5) -> str: """최근 커밋 목록 가져오기""" try: cmd = f"-weight: 500;">git log --oneline -{n}" output = subprocess.check_output(cmd, shell=True, text=True) return output.strip() except: return "No -weight: 500;">git repository" @staticmethod def get_status() -> str: """Git 상태""" try: cmd = "-weight: 500;">git -weight: 500;">status --- 📥 **Get the full guide on Gumroad**: https://gumroad.com/l/auto ($5)