$ -weight: 500;">pip -weight: 500;">install aider aider --help -weight: 500;">pip -weight: 500;">install aider aider --help -weight: 500;">pip -weight: 500;">install aider aider --help -weight: 500;">npm -weight: 500;">install -g continue -weight: 500;">npm -weight: 500;">install -g continue -weight: 500;">npm -weight: 500;">install -g continue -weight: 500;">git clone https://github.com/opencode-dev/opencode cd opencode && -weight: 500;">pip -weight: 500;">install -e . -weight: 500;">git clone https://github.com/opencode-dev/opencode cd opencode && -weight: 500;">pip -weight: 500;">install -e . -weight: 500;">git clone https://github.com/opencode-dev/opencode cd opencode && -weight: 500;">pip -weight: 500;">install -e . # Ubuntu/Debian -weight: 500;">curl -fsSL https://ollama.com/-weight: 500;">install.sh | sh # macOS -weight: 500;">brew -weight: 500;">install ollama # 시작 ollama serve # Ubuntu/Debian -weight: 500;">curl -fsSL https://ollama.com/-weight: 500;">install.sh | sh # macOS -weight: 500;">brew -weight: 500;">install ollama # 시작 ollama serve # Ubuntu/Debian -weight: 500;">curl -fsSL https://ollama.com/-weight: 500;">install.sh | sh # macOS -weight: 500;">brew -weight: 500;">install ollama # 시작 ollama serve # llama3.2 모델 다운로드 ollama pull llama3.2 # 로컬 API 시작 ollama run llama3.2 # llama3.2 모델 다운로드 ollama pull llama3.2 # 로컬 API 시작 ollama run llama3.2 # llama3.2 모델 다운로드 ollama pull llama3.2 # 로컬 API 시작 ollama run llama3.2 # -weight: 500;">curl로 테스트 -weight: 500;">curl http://localhost:11434/api/generate \ -H "Content-Type: application/json" \ -d '{ "model": "llama3.2", "prompt": "Hello, how are you?", "stream": false }' # -weight: 500;">curl로 테스트 -weight: 500;">curl http://localhost:11434/api/generate \ -H "Content-Type: application/json" \ -d '{ "model": "llama3.2", "prompt": "Hello, how are you?", "stream": false }' # -weight: 500;">curl로 테스트 -weight: 500;">curl http://localhost:11434/api/generate \ -H "Content-Type: application/json" \ -d '{ "model": "llama3.2", "prompt": "Hello, how are you?", "stream": false }' # aider_agent.py import openai import json import subprocess import os from typing import List, Dict class TerminalAgent: def __init__(self, model="llama3.2"): self.model = model self.client = openai.OpenAI( base_url="http://localhost:11434/v1", api_key="ollama" ) self.context = [] def call_llm(self, prompt: str) -> str: response = self.client.chat.completions.create( model=self.model, messages=[{"role": "user", "content": prompt}], temperature=0.7 ) return response.choices[0].message.content def execute_command(self, command: str) -> str: 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 get_file_content(self, filepath: str) -> str: try: with open(filepath, 'r') as f: return f.read() except Exception as e: return f"Error reading file: {str(e)}" def save_file(self, filepath: str, content: str) -> bool: try: with open(filepath, 'w') as f: f.write(content) return True except Exception as e: print(f"Error saving file: {str(e)}") return False # 사용 예시 if __name__ == "__main__": agent = TerminalAgent() # 코드 생성 예시 prompt = """ Create a Python function that calculates the fibonacci sequence up to n terms. Return the list of numbers. """ response = agent.call_llm(prompt) print("Generated code:") print(response) # aider_agent.py import openai import json import subprocess import os from typing import List, Dict class TerminalAgent: def __init__(self, model="llama3.2"): self.model = model self.client = openai.OpenAI( base_url="http://localhost:11434/v1", api_key="ollama" ) self.context = [] def call_llm(self, prompt: str) -> str: response = self.client.chat.completions.create( model=self.model, messages=[{"role": "user", "content": prompt}], temperature=0.7 ) return response.choices[0].message.content def execute_command(self, command: str) -> str: 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 get_file_content(self, filepath: str) -> str: try: with open(filepath, 'r') as f: return f.read() except Exception as e: return f"Error reading file: {str(e)}" def save_file(self, filepath: str, content: str) -> bool: try: with open(filepath, 'w') as f: f.write(content) return True except Exception as e: print(f"Error saving file: {str(e)}") return False # 사용 예시 if __name__ == "__main__": agent = TerminalAgent() # 코드 생성 예시 prompt = """ Create a Python function that calculates the fibonacci sequence up to n terms. Return the list of numbers. """ response = agent.call_llm(prompt) print("Generated code:") print(response) # aider_agent.py import openai import json import subprocess import os from typing import List, Dict class TerminalAgent: def __init__(self, model="llama3.2"): self.model = model self.client = openai.OpenAI( base_url="http://localhost:11434/v1", api_key="ollama" ) self.context = [] def call_llm(self, prompt: str) -> str: response = self.client.chat.completions.create( model=self.model, messages=[{"role": "user", "content": prompt}], temperature=0.7 ) return response.choices[0].message.content def execute_command(self, command: str) -> str: 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 get_file_content(self, filepath: str) -> str: try: with open(filepath, 'r') as f: return f.read() except Exception as e: return f"Error reading file: {str(e)}" def save_file(self, filepath: str, content: str) -> bool: try: with open(filepath, 'w') as f: f.write(content) return True except Exception as e: print(f"Error saving file: {str(e)}") return False # 사용 예시 if __name__ == "__main__": agent = TerminalAgent() # 코드 생성 예시 prompt = """ Create a Python function that calculates the fibonacci sequence up to n terms. Return the list of numbers. """ response = agent.call_llm(prompt) print("Generated code:") print(response) # tmux 세션 생성 tmux new-session -s ai_agent -d # 세션에 명령 실행 tmux send-keys -t ai_agent "python aider_agent.py" Enter # 세션에 파일 생성 tmux send-keys -t ai_agent "touch test.py" Enter # 세션 정보 확인 tmux list-sessions # tmux 세션 생성 tmux new-session -s ai_agent -d # 세션에 명령 실행 tmux send-keys -t ai_agent "python aider_agent.py" Enter # 세션에 파일 생성 tmux send-keys -t ai_agent "touch test.py" Enter # 세션 정보 확인 tmux list-sessions # tmux 세션 생성 tmux new-session -s ai_agent -d # 세션에 명령 실행 tmux send-keys -t ai_agent "python aider_agent.py" Enter # 세션에 파일 생성 tmux send-keys -t ai_agent "touch test.py" Enter # 세션 정보 확인 tmux list-sessions #!/bin/bash # setup_tmux.sh SESSION_NAME="ai_dev" tmux new-session -s $SESSION_NAME -d # 메인 창 생성 tmux new-window -t $SESSION_NAME:1 -n "main" tmux send-keys -t $SESSION_NAME:1 "cd ~/projects/myproject" Enter # 터미널 창 생성 tmux new-window -t $SESSION_NAME:2 -n "terminal" tmux send-keys -t $SESSION_NAME:2 "python aider_agent.py" Enter # 에이전트 창 생성 tmux new-window -t $SESSION_NAME:3 -n "agent" tmux send-keys -t $SESSION_NAME:3 "watch -n 1 'ls -la'" Enter # 세션에 연결 tmux attach -t $SESSION_NAME #!/bin/bash # setup_tmux.sh SESSION_NAME="ai_dev" tmux new-session -s $SESSION_NAME -d # 메인 창 생성 tmux new-window -t $SESSION_NAME:1 -n "main" tmux send-keys -t $SESSION_NAME:1 "cd ~/projects/myproject" Enter # 터미널 창 생성 tmux new-window -t $SESSION_NAME:2 -n "terminal" tmux send-keys -t $SESSION_NAME:2 "python aider_agent.py" Enter # 에이전트 창 생성 tmux new-window -t $SESSION_NAME:3 -n "agent" tmux send-keys -t $SESSION_NAME:3 "watch -n 1 'ls -la'" Enter # 세션에 연결 tmux attach -t $SESSION_NAME #!/bin/bash # setup_tmux.sh SESSION_NAME="ai_dev" tmux new-session -s $SESSION_NAME -d # 메인 창 생성 tmux new-window -t $SESSION_NAME:1 -n "main" tmux send-keys -t $SESSION_NAME:1 "cd ~/projects/myproject" Enter # 터미널 창 생성 tmux new-window -t $SESSION_NAME:2 -n "terminal" tmux send-keys -t $SESSION_NAME:2 "python aider_agent.py" Enter # 에이전트 창 생성 tmux new-window -t $SESSION_NAME:3 -n "agent" tmux send-keys -t $SESSION_NAME:3 "watch -n 1 'ls -la'" Enter # 세션에 연결 tmux attach -t $SESSION_NAME # tools/code_search.py import os import re class CodeSearchTool: def __init__(self, project_root: str): self.project_root = project_root def search_in_files(self, pattern: str, file_extensions: list = None) -> List[Dict]: results = [] if file_extensions is None: file_extensions = ['.py', '.js', '.ts', '.java', '.cpp'] for root, dirs, files in os.walk(self.project_root): for file in files: if any(file.endswith(ext) for ext in file_extensions): filepath = os.path.join(root, file) try: with open(filepath, 'r') as f: content = f.read() matches = re.finditer(pattern, content) for match in matches: results.append({ 'file': filepath, 'line': content[:match.-weight: 500;">start()].count('\n') + 1, 'context': self.get_context(content, match.-weight: 500;">start()) }) except Exception as e: continue return results def get_context(self, content: str, position: int, context_lines: int = 3) -> str: lines = content.split('\n') line_num = content[:position].count('\n') -weight: 500;">start = max(0, line_num - context_lines) end = min(len(lines), line_num + context_lines + 1) return '\n'.join(lines[-weight: 500;">start:end]) # 사용 예시 searcher = CodeSearchTool("/path/to/project") results = searcher.search_in_files(r"def.*function_name") # tools/code_search.py import os import re class CodeSearchTool: def __init__(self, project_root: str): self.project_root = project_root def search_in_files(self, pattern: str, file_extensions: list = None) -> List[Dict]: results = [] if file_extensions is None: file_extensions = ['.py', '.js', '.ts', '.java', '.cpp'] for root, dirs, files in os.walk(self.project_root): for file in files: if any(file.endswith(ext) for ext in file_extensions): filepath = os.path.join(root, file) try: with open(filepath, 'r') as f: content = f.read() matches = re.finditer(pattern, content) for match in matches: results.append({ 'file': filepath, 'line': content[:match.-weight: 500;">start()].count('\n') + 1, 'context': self.get_context(content, match.-weight: 500;">start()) }) except Exception as e: continue return results def get_context(self, content: str, position: int, context_lines: int = 3) -> str: lines = content.split('\n') line_num = content[:position].count('\n') -weight: 500;">start = max(0, line_num - context_lines) end = min(len(lines), line_num + context_lines + 1) return '\n'.join(lines[-weight: 500;">start:end]) # 사용 예시 searcher = CodeSearchTool("/path/to/project") results = searcher.search_in_files(r"def.*function_name") # tools/code_search.py import os import re class CodeSearchTool: def __init__(self, project_root: str): self.project_root = project_root def search_in_files(self, pattern: str, file_extensions: list = None) -> List[Dict]: results = [] if file_extensions is None: file_extensions = ['.py', '.js', '.ts', '.java', '.cpp'] for root, dirs, files in os.walk(self.project_root): for file in files: if any(file.endswith(ext) for ext in file_extensions): filepath = os.path.join(root, file) try: with open(filepath, 'r') as f: content = f.read() matches = re.finditer(pattern, content) for match in matches: results.append({ 'file': filepath, 'line': content[:match.-weight: 500;">start()].count('\n') + 1, 'context': self.get_context(content, match.-weight: 500;">start()) }) except Exception as e: continue return results def get_context(self, content: str, position: int, context_lines: int = 3) -> str: lines = content.split('\n') line_num = content[:position].count('\n') -weight: 500;">start = max(0, line_num - context_lines) end = min(len(lines), line_num + context_lines + 1) return '\n'.join(lines[-weight: 500;">start:end]) # 사용 예시 searcher = CodeSearchTool("/path/to/project") results = searcher.search_in_files(r"def.*function_name") # tools/git_tool.py import subprocess import json class GitTool: def __init__(self): pass def get_status(self) -> Dict: result = subprocess.run(['-weight: 500;">git', '-weight: 500;">status', '--porcelain'], capture_output=True, text=True) return {"-weight: 500;">status": result.stdout.strip()} def get_diff(self) -> str: result = subprocess.run(['-weight: 500;">git', 'diff'], capture_output=True, text=True) return result.stdout def commit_changes(self, message: str) -> bool: try: subprocess.run(['-weight: 500;">git', 'add', '.'], check=True) subprocess.run(['-weight: 500;">git', 'commit', '-m', message], check=True) return True except subprocess.CalledProcessError: return False def get_branch_info(self) -> Dict: result = subprocess.run(['-weight: 500;">git', 'branch', '--show-current'], capture_output=True, text=True) return {"branch": result.stdout.strip()} # 사용 예시 git_tool = GitTool() -weight: 500;">status = git_tool.get_status() print(json.dumps(-weight: 500;">status, indent=2)) # tools/git_tool.py import subprocess import json class GitTool: def __init__(self): pass def get_status(self) -> Dict: result = subprocess.run(['-weight: 500;">git', '-weight: 500;">status', '--porcelain'], capture_output=True, text=True) return {"-weight: 500;">status": result.stdout.strip()} def get_diff(self) -> str: result = subprocess.run(['-weight: 500;">git', 'diff'], capture_output=True, text=True) return result.stdout def commit_changes(self, message: str) -> bool: try: subprocess.run(['-weight: 500;">git', 'add', '.'], check=True) subprocess.run(['-weight: 500;">git', 'commit', '-m', message], check=True) return True except subprocess.CalledProcessError: return False def get_branch_info(self) -> Dict: result = subprocess.run(['-weight: 500;">git', 'branch', '--show-current'], capture_output=True, text=True) return {"branch": result.stdout.strip()} # 사용 예시 git_tool = GitTool() -weight: 500;">status = git_tool.get_status() print(json.dumps(-weight: 500;">status, indent=2)) # tools/git_tool.py import subprocess import json class GitTool: def __init__(self): pass def get_status(self) -> Dict: result = subprocess.run(['-weight: 500;">git', '-weight: 500;">status', '--porcelain'], capture_output=True, text=True) return {"-weight: 500;">status": result.stdout.strip()} def get_diff(self) -> str: result = subprocess.run(['-weight: 500;">git', 'diff'], capture_output=True, text=True) return result.stdout def commit_changes(self, message: str) -> bool: try: subprocess.run(['-weight: 500;">git', 'add', '.'], check=True) subprocess.run(['-weight: 500;">git', 'commit', '-m', message], check=True) return True except subprocess.CalledProcessError: return False def get_branch_info(self) -> Dict: result = subprocess.run(['-weight: 500;">git', 'branch', '--show-current'], capture_output=True, text=True) return {"branch": result.stdout.strip()} # 사용 예시 git_tool = GitTool() -weight: 500;">status = git_tool.get_status() print(json.dumps(-weight: 500;">status, indent=2)) python # context_manager.py import tiktoken from typing import List, Dict class ContextManager: def __init__(self, model_name: str = "gpt-4"): self.encoding = tiktoken.encoding_for_model(model_name) self.max_tokens = 8192 # 8K 토큰 제한 def count_tokens(self, text: str) -> int: return len(self.encoding.encode(text)) def truncate_context(self, context: List[Dict], max_tokens: int = None) -> List[Dict]: if max_tokens is None: max_tokens = self.max_tokens truncated = [] current_tokens = 0 # 최근 항목부터 처리 for item in reversed(context): item_tokens = self.count_tokens(str(item)) if current_tokens + item_tokens <= max_tokens: truncated.append(item) current_tokens += item_tokens else: break return list(reversed(truncated)) def add_context --- 📥 **Get the full guide on Gumroad**: https://gumroad.com/l/auto ($5) python # context_manager.py import tiktoken from typing import List, Dict class ContextManager: def __init__(self, model_name: str = "gpt-4"): self.encoding = tiktoken.encoding_for_model(model_name) self.max_tokens = 8192 # 8K 토큰 제한 def count_tokens(self, text: str) -> int: return len(self.encoding.encode(text)) def truncate_context(self, context: List[Dict], max_tokens: int = None) -> List[Dict]: if max_tokens is None: max_tokens = self.max_tokens truncated = [] current_tokens = 0 # 최근 항목부터 처리 for item in reversed(context): item_tokens = self.count_tokens(str(item)) if current_tokens + item_tokens <= max_tokens: truncated.append(item) current_tokens += item_tokens else: break return list(reversed(truncated)) def add_context --- 📥 **Get the full guide on Gumroad**: https://gumroad.com/l/auto ($5) python # context_manager.py import tiktoken from typing import List, Dict class ContextManager: def __init__(self, model_name: str = "gpt-4"): self.encoding = tiktoken.encoding_for_model(model_name) self.max_tokens = 8192 # 8K 토큰 제한 def count_tokens(self, text: str) -> int: return len(self.encoding.encode(text)) def truncate_context(self, context: List[Dict], max_tokens: int = None) -> List[Dict]: if max_tokens is None: max_tokens = self.max_tokens truncated = [] current_tokens = 0 # 최근 항목부터 처리 for item in reversed(context): item_tokens = self.count_tokens(str(item)) if current_tokens + item_tokens <= max_tokens: truncated.append(item) current_tokens += item_tokens else: break return list(reversed(truncated)) def add_context --- 📥 **Get the full guide on Gumroad**: https://gumroad.com/l/auto ($5)