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feat: build an AI agent from 0 to 1 -- 11 progressive sessions
- 11 sessions from basic agent loop to autonomous teams - Python MVP implementations for each session - Mental-model-first docs in en/zh/ja - Interactive web platform with step-through visualizations - Incremental architecture: each session adds one mechanism
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143
agents/s02_tool_use.py
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143
agents/s02_tool_use.py
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#!/usr/bin/env python3
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"""
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s02_tool_use.py - Tools
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The agent loop from s01 didn't change. We just added tools to the array
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and a dispatch map to route calls.
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+----------+ +-------+ +------------------+
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| User | ---> | LLM | ---> | Tool Dispatch |
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| prompt | | | | { |
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+----------+ +---+---+ | bash: run_bash |
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^ | read: run_read |
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| | write: run_wr |
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+----------+ edit: run_edit |
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tool_result| } |
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+------------------+
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Key insight: "The loop didn't change at all. I just added tools."
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"""
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import os
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import subprocess
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from pathlib import Path
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from anthropic import Anthropic
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from dotenv import load_dotenv
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load_dotenv(override=True)
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if os.getenv("ANTHROPIC_BASE_URL"):
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os.environ.pop("ANTHROPIC_AUTH_TOKEN", None)
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WORKDIR = Path.cwd()
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client = Anthropic(base_url=os.getenv("ANTHROPIC_BASE_URL"))
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MODEL = os.environ["MODEL_ID"]
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SYSTEM = f"You are a coding agent at {WORKDIR}. Use tools to solve tasks. Act, don't explain."
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def safe_path(p: str) -> Path:
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path = (WORKDIR / p).resolve()
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if not path.is_relative_to(WORKDIR):
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raise ValueError(f"Path escapes workspace: {p}")
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return path
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def run_bash(command: str) -> str:
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dangerous = ["rm -rf /", "sudo", "shutdown", "reboot", "> /dev/"]
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if any(d in command for d in dangerous):
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return "Error: Dangerous command blocked"
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try:
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r = subprocess.run(command, shell=True, cwd=WORKDIR,
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capture_output=True, text=True, timeout=120)
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out = (r.stdout + r.stderr).strip()
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return out[:50000] if out else "(no output)"
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except subprocess.TimeoutExpired:
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return "Error: Timeout (120s)"
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def run_read(path: str, limit: int = None) -> str:
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try:
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text = safe_path(path).read_text()
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lines = text.splitlines()
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if limit and limit < len(lines):
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lines = lines[:limit] + [f"... ({len(lines) - limit} more lines)"]
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return "\n".join(lines)[:50000]
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except Exception as e:
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return f"Error: {e}"
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def run_write(path: str, content: str) -> str:
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try:
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fp = safe_path(path)
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fp.parent.mkdir(parents=True, exist_ok=True)
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fp.write_text(content)
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return f"Wrote {len(content)} bytes to {path}"
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except Exception as e:
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return f"Error: {e}"
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def run_edit(path: str, old_text: str, new_text: str) -> str:
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try:
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fp = safe_path(path)
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content = fp.read_text()
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if old_text not in content:
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return f"Error: Text not found in {path}"
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fp.write_text(content.replace(old_text, new_text, 1))
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return f"Edited {path}"
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except Exception as e:
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return f"Error: {e}"
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# -- The dispatch map: {tool_name: handler} --
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TOOL_HANDLERS = {
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"bash": lambda **kw: run_bash(kw["command"]),
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"read_file": lambda **kw: run_read(kw["path"], kw.get("limit")),
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"write_file": lambda **kw: run_write(kw["path"], kw["content"]),
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"edit_file": lambda **kw: run_edit(kw["path"], kw["old_text"], kw["new_text"]),
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}
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TOOLS = [
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{"name": "bash", "description": "Run a shell command.",
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"input_schema": {"type": "object", "properties": {"command": {"type": "string"}}, "required": ["command"]}},
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{"name": "read_file", "description": "Read file contents.",
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"input_schema": {"type": "object", "properties": {"path": {"type": "string"}, "limit": {"type": "integer"}}, "required": ["path"]}},
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{"name": "write_file", "description": "Write content to file.",
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"input_schema": {"type": "object", "properties": {"path": {"type": "string"}, "content": {"type": "string"}}, "required": ["path", "content"]}},
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{"name": "edit_file", "description": "Replace exact text in file.",
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"input_schema": {"type": "object", "properties": {"path": {"type": "string"}, "old_text": {"type": "string"}, "new_text": {"type": "string"}}, "required": ["path", "old_text", "new_text"]}},
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]
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def agent_loop(messages: list):
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while True:
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response = client.messages.create(
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model=MODEL, system=SYSTEM, messages=messages,
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tools=TOOLS, max_tokens=8000,
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)
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messages.append({"role": "assistant", "content": response.content})
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if response.stop_reason != "tool_use":
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return
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results = []
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for block in response.content:
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if block.type == "tool_use":
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handler = TOOL_HANDLERS.get(block.name)
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output = handler(**block.input) if handler else f"Unknown tool: {block.name}"
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print(f"> {block.name}: {output[:200]}")
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results.append({"type": "tool_result", "tool_use_id": block.id, "content": output})
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messages.append({"role": "user", "content": results})
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if __name__ == "__main__":
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history = []
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while True:
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try:
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query = input("\033[36ms02 >> \033[0m")
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except (EOFError, KeyboardInterrupt):
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break
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if query.strip().lower() in ("q", "exit", ""):
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break
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history.append({"role": "user", "content": query})
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agent_loop(history)
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print()
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