《AI竞赛转向系统落地》

#!/usr/bin/env python3
import json, os, subprocess, sys
from pathlib import Path

payload = json.load(sys.stdin)
tool_input = payload.get("tool_input", {})
path_text = str(tool_input.get("file_path") or tool_input.get("path") or "")
path_text = path_text.replace("\\", "/").lower()
lock = Path(".claude/.test-hook.lock")

if lock.exists() or not path_text:
    raise SystemExit(0)
if path_text.endswith(".py"):
    command = [sys.executable, "-m", "pytest", "-q", "--maxfail=1"]
elif path_text.endswith((".ts", ".tsx")):
    command = ["npm", "test", "--", "--runInBand"]
else:
    raise SystemExit(0)

lock.parent.mkdir(parents=True, exist_ok=True)
lock.write_text(str(os.getpid()), encoding="utf-8")
try:
    result = subprocess.run(command, text=True, capture_output=True, timeout=180)
    output = (result.stdout + "\n" + result.stderr).strip()[-6000:]
    print(json.dumps({"hookSpecificOutput": {
        "hookEventName": "PostToolUse",
        "additionalContext": f"自动最小测试已执行。退出码：{result.returncode}\n{output}"
    }}, ensure_ascii=False))
finally:
    lock.unlink(missing_ok=True)

{
  "hooks": {
    "PostToolUse": [{
      "matcher": "Write|Edit",
      "hooks": [{
        "type": "command",
        "command": "python .claude/hooks/run_min_tests.py",
        "timeout": 200
      }]
    }]
  }
}

hermes cron create "0 9 * * *" \
  "检查指定项目过去24小时的新提交、失败的持续集成任务和新发布版本。必须给出原始链接；如果没有任何变化，只输出 [SILENT]，不要解释。若网页或接口失败，输出中文失败原因，不得猜测。" \
  --name "项目晨检" \
  --workdir "C:/work/my-project" \
  --deliver telegram \
  --model "你已开通并核验的模型ID" \
  --provider "你已配置的服务商标识"

hermes cron run "项目晨检"
hermes cron runs "项目晨检" --limit 10
hermes cron status

hermes cron pause "项目晨检"
hermes cron edit "项目晨检" --schedule "0 8 * * 1-5"
hermes cron resume "项目晨检"

import json, os
from datetime import datetime, timezone
from pathlib import Path
import httpx

BASE_URL = os.getenv("ANTHROPIC_BASE_URL", "https://api.anthropic.com").rstrip("/")
API_KEY = os.environ["ANTHROPIC_API_KEY"]
MODEL = os.environ["ANTHROPIC_MODEL"]
BUDGET = int(os.getenv("TOKEN_BUDGET", "120000"))
LEDGER = Path("claude_usage.jsonl")
HEADERS = {"x-api-key": API_KEY, "anthropic-version": "2023-06-01",
           "content-type": "application/json"}
messages = [
 {"role":"user","content":"项目目标：把客服知识库改造成可审计问答系统。"},
 {"role":"assistant","content":"已确认：所有答案必须带来源，低置信度转人工。"},
 {"role":"user","content":"关键决定：禁止模型直接退款，只能创建待审批工单。"},
 {"role":"assistant","content":"收到，后续保留该权限边界。"},
 {"role":"user","content":"请给出今天可执行的三步上线清单。"}
]

def count(client, rows):
    r = client.post(f"{BASE_URL}/v1/messages/count_tokens", headers=HEADERS,
                    json={"model": MODEL, "messages": rows})
    r.raise_for_status()
    return r.json()["input_tokens"]

def compact(rows):
    keys = ("目标", "决定", "禁止", "必须")
    keep = [m for m in rows if any(k in str(m["content"]) for k in keys)] + rows[-4:]
    unique = []
    for item in keep:
        if item not in unique: unique.append(item)
    return unique

with httpx.Client(timeout=60) as client:
    before = count(client, messages)
    used = compact(messages) if before > BUDGET else messages
    after = count(client, used)
    r = client.post(f"{BASE_URL}/v1/messages", headers=HEADERS,
        json={"model": MODEL, "max_tokens": 800, "messages": used})
    r.raise_for_status()
    data, usage = r.json(), r.json().get("usage", {})
    record = {"time": datetime.now(timezone.utc).isoformat(), "model": MODEL,
      "count_before": before, "count_after": after,
      "input_tokens": usage.get("input_tokens", 0),
      "cache_read_input_tokens": usage.get("cache_read_input_tokens", 0),
      "cache_creation_input_tokens": usage.get("cache_creation_input_tokens", 0),
      "output_tokens": usage.get("output_tokens", 0)}
    LEDGER.open("a", encoding="utf-8").write(json.dumps(record, ensure_ascii=False)+"\n")
    print(f"压缩前：{before}，压缩后：{after}")
    print("".join(x.get("text", "") for x in data.get("content", [])))

python -m pip install "httpx>=0.27,<1"
export ANTHROPIC_API_KEY="你的密钥"
export ANTHROPIC_MODEL="控制台中已开通的模型ID"
export TOKEN_BUDGET="120000"
python claude_context_budget.py