analysis_claude_code/docs/zh/s09-agent-teams.md
CrazyBoyM a9c71002d2 the model is the agent, the code is the harness
Comprehensive rewrite establishing the harness engineering narrative
across the entire repository.

README (EN/ZH/JA): added "The Model IS the Agent" manifesto with
historical proof (DQN, OpenAI Five, AlphaStar, Tencent Jueyu),
"What an Agent Is NOT" critique, harness engineer role definition,
"Why Claude Code" as masterclass in harness design, and universe
vision. Consistent framing: model = driver, harness = vehicle.

docs (36 files, 3 languages): injected one-line "Harness layer"
callout after the motto in every session document (s01-s12).

agents (13 Python files): added harness framing comment before
each module docstring.

skills/agent-philosophy.md: full rewrite aligned with harness
narrative.
2026-03-18 01:19:34 +08:00

130 lines
4.6 KiB
Markdown

# s09: Agent Teams (智能体团队)
`s01 > s02 > s03 > s04 > s05 > s06 | s07 > s08 > [ s09 ] s10 > s11 > s12`
> *"任务太大一个人干不完, 要能分给队友"* -- 持久化队友 + JSONL 邮箱。
>
> **Harness 层**: 团队邮箱 -- 多个模型, 通过文件协调。
## 问题
子智能体 (s04) 是一次性的: 生成、干活、返回摘要、消亡。没有身份, 没有跨调用的记忆。后台任务 (s08) 能跑 shell 命令, 但做不了 LLM 引导的决策。
真正的团队协作需要三样东西: (1) 能跨多轮对话存活的持久智能体, (2) 身份和生命周期管理, (3) 智能体之间的通信通道。
## 解决方案
```
Teammate lifecycle:
spawn -> WORKING -> IDLE -> WORKING -> ... -> SHUTDOWN
Communication:
.team/
config.json <- team roster + statuses
inbox/
alice.jsonl <- append-only, drain-on-read
bob.jsonl
lead.jsonl
+--------+ send("alice","bob","...") +--------+
| alice | -----------------------------> | bob |
| loop | bob.jsonl << {json_line} | loop |
+--------+ +--------+
^ |
| BUS.read_inbox("alice") |
+---- alice.jsonl -> read + drain ---------+
```
## 工作原理
1. TeammateManager 通过 config.json 维护团队名册。
```python
class TeammateManager:
def __init__(self, team_dir: Path):
self.dir = team_dir
self.dir.mkdir(exist_ok=True)
self.config_path = self.dir / "config.json"
self.config = self._load_config()
self.threads = {}
```
2. `spawn()` 创建队友并在线程中启动 agent loop。
```python
def spawn(self, name: str, role: str, prompt: str) -> str:
member = {"name": name, "role": role, "status": "working"}
self.config["members"].append(member)
self._save_config()
thread = threading.Thread(
target=self._teammate_loop,
args=(name, role, prompt), daemon=True)
thread.start()
return f"Spawned teammate '{name}' (role: {role})"
```
3. MessageBus: append-only 的 JSONL 收件箱。`send()` 追加一行; `read_inbox()` 读取全部并清空。
```python
class MessageBus:
def send(self, sender, to, content, msg_type="message", extra=None):
msg = {"type": msg_type, "from": sender,
"content": content, "timestamp": time.time()}
if extra:
msg.update(extra)
with open(self.dir / f"{to}.jsonl", "a") as f:
f.write(json.dumps(msg) + "\n")
def read_inbox(self, name):
path = self.dir / f"{name}.jsonl"
if not path.exists(): return "[]"
msgs = [json.loads(l) for l in path.read_text().strip().splitlines() if l]
path.write_text("") # drain
return json.dumps(msgs, indent=2)
```
4. 每个队友在每次 LLM 调用前检查收件箱, 将消息注入上下文。
```python
def _teammate_loop(self, name, role, prompt):
messages = [{"role": "user", "content": prompt}]
for _ in range(50):
inbox = BUS.read_inbox(name)
if inbox != "[]":
messages.append({"role": "user",
"content": f"<inbox>{inbox}</inbox>"})
messages.append({"role": "assistant",
"content": "Noted inbox messages."})
response = client.messages.create(...)
if response.stop_reason != "tool_use":
break
# execute tools, append results...
self._find_member(name)["status"] = "idle"
```
## 相对 s08 的变更
| 组件 | 之前 (s08) | 之后 (s09) |
|----------------|------------------|------------------------------------|
| Tools | 6 | 9 (+spawn/send/read_inbox) |
| 智能体数量 | 单一 | 领导 + N 个队友 |
| 持久化 | 无 | config.json + JSONL 收件箱 |
| 线程 | 后台命令 | 每线程完整 agent loop |
| 生命周期 | 一次性 | idle -> working -> idle |
| 通信 | 无 | message + broadcast |
## 试一试
```sh
cd learn-claude-code
python agents/s09_agent_teams.py
```
试试这些 prompt (英文 prompt 对 LLM 效果更好, 也可以用中文):
1. `Spawn alice (coder) and bob (tester). Have alice send bob a message.`
2. `Broadcast "status update: phase 1 complete" to all teammates`
3. `Check the lead inbox for any messages`
4. 输入 `/team` 查看团队名册和状态
5. 输入 `/inbox` 手动检查领导的收件箱