{"id":83091,"date":"2026-07-25T17:01:18","date_gmt":"2026-07-25T09:01:18","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/83091.html"},"modified":"2026-07-25T17:01:18","modified_gmt":"2026-07-25T09:01:18","slug":"llm-%e4%bb%a3%e7%a0%81%e4%ba%a7%e7%89%a9%e7%9a%84%e9%aa%8c%e8%af%81%e9%b8%bf%e6%b2%9f%ef%bc%9a%e7%94%a8%e6%b5%8b%e8%af%95%e7%94%9f%e6%88%90%e9%97%ad%e7%8e%af%e6%8a%8a%e4%bd%8f%e8%b4%a8%e9%87%8f","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/83091.html","title":{"rendered":"LLM \u4ee3\u7801\u4ea7\u7269\u7684\u9a8c\u8bc1\u9e3f\u6c9f\uff1a\u7528\u6d4b\u8bd5\u751f\u6210\u95ed\u73af\u628a\u4f4f\u8d28\u91cf\u95e8"},"content":{"rendered":"

LLM \u4ee3\u7801\u4ea7\u7269\u7684\u9a8c\u8bc1\u9e3f\u6c9f：\u7528\u6d4b\u8bd5\u751f\u6210\u95ed\u73af\u628a\u4f4f\u8d28\u91cf\u95e8<\/h2>\n

\u4e00\u3001\u751f\u6210\u4ee3\u7801\u4e0e\u8d28\u91cf\u7f3a\u53e3<\/h3>\n

LLM \u5199\u4ee3\u7801，\u51e0\u79d2\u949f\u4e00\u6bb5\u3002\u4ea7\u7269\u5806\u79ef\u5982\u5c71，\u6ca1\u4eba\u8865\u6d4b\u8bd5\u3002\u4ee3\u7801\u5408\u8fdb\u53bb，\u8dd1\u5f97\u8d77\u6765\u5c31\u662f\u597d\u7684\u3002\u7ebf\u4e0a\u5d29\u4e86\u624d\u56de\u5934\u67e5，\u53d1\u73b0\u8fb9\u754c\u6839\u672c\u6ca1\u4eba\u6d4b\u3002<\/p>\n

LLM \u751f\u6210\u7684\u4ee3\u7801，\u95ee\u9898\u4e0d\u5728\u80fd\u4e0d\u80fd\u8dd1\u3002\u800c\u5728"\u80fd\u4e0d\u80fd\u625b\u4f4f\u8f93\u5165\u5168\u96c6"\u3002\u5b83\u5e38\u6309\u5b57\u9762\u610f\u601d\u5b9e\u73b0，\u5ffd\u7565\u7a7a\u503c\u3001\u5e76\u53d1\u3001\u8d85\u65f6\u3002\u4eba\u5ba1\u770b\u4e0d\u8fc7\u6765，\u9760\u624b\u611f\u5224\u65ad\u6613\u6f0f\u3002<\/p>\n

\u6d4b\u8bd5\u662f\u6700\u540e\u4e00\u9053\u95f8\u95e8\u3002\u4f46\u4eba\u5199\u6d4b\u8bd5\u6bd4\u5199\u4ee3\u7801\u8fd8\u6162，\u666e\u904d\u6b20\u8d26\u3002\u8ba9 LLM \u53cd\u8fc7\u6765\u751f\u6210\u6d4b\u8bd5，\u5f62\u6210\u95ed\u73af\u3002\u8fd9\u662f\u5f53\u524d\u552f\u4e00\u53ef\u884c\u7684\u8d28\u91cf\u515c\u5e95\u8def\u5f84\u3002<\/p>\n

\u4f46\u751f\u6210\u6d4b\u8bd5\u672c\u8eab，\u4e5f\u6709\u5e7b\u89c9\u98ce\u9669\u3002\u65ad\u8a00\u53ef\u80fd\u592a\u677e，\u6c38\u8fdc\u8fc7\u3002\u53ef\u80fd\u592a\u4e25，\u628a\u5bf9\u7684\u5224\u9519\u3002\u5fc5\u987b\u628a\u6d4b\u8bd5\u751f\u6210\u7eb3\u5165\u5de5\u7a0b\u6d41\u6c34\u7ebf，\u505a\u95ed\u73af\u9a8c\u8bc1\u3002<\/p>\n

\u4e8c\u3001\u6d4b\u8bd5\u751f\u6210\u95ed\u73af\u7684\u6570\u636e\u673a\u5236<\/h3>\n

\u95ed\u73af\u4e0d\u662f"\u8c03\u4e00\u6b21 LLM \u51fa\u6d4b\u8bd5"\u5c31\u5b8c\u4e8b\u3002\u5b83\u662f\u4e00\u7ec4\u53ef\u9a8c\u8bc1\u3001\u53ef\u56de\u5f52\u3001\u53ef\u5ba1\u8ba1\u7684\u6b65\u9aa4\u3002\u8f93\u5165\u662f LLM \u751f\u6210\u7684\u6e90\u7801\u3002\u5148\u505a\u9759\u6001\u89e3\u6790，\u62bd\u51fd\u6570\u7b7e\u540d\u4e0e\u5951\u7ea6\u3002<\/p>\n

\u518d\u8ba9 LLM \u57fa\u4e8e\u5951\u7ea6\u63a8\u8fb9\u754c\u7528\u4f8b，\u800c\u975e\u968f\u673a\u751f\u6210\u3002\u7528\u4f8b\u4ea7\u51fa\u540e\u843d\u5e93，\u6807\u6ce8\u6765\u6e90\u7248\u672c\u3002\u6267\u884c\u7528\u4f8b，\u6355\u83b7\u901a\u8fc7\u7387\u4e0e\u8986\u76d6\u7387\u3002\u6700\u540e\u7528\u8986\u76d6\u7387\u56de\u5f52\u68c0\u6d4b：\u65b0\u6d4b\u8bd5\u662f\u5426\u771f\u7684\u8986\u76d6\u4e86\u65b0\u4ee3\u7801\u3002<\/p>\n

\u82e5\u8986\u76d6\u7387\u4e0d\u589e\u53cd\u964d，\u5224\u5b9a\u751f\u6210\u5931\u8d25，\u89e6\u53d1\u4eba\u5de5\u590d\u6838\u3002\u4e0b\u9762\u662f\u95ed\u73af\u7684\u6570\u636e\u6d41\u5411：<\/p>\n

flowchart TD
\n A[LLM \u751f\u6210\u6e90\u7801] –> B[AST \u89e3\u6790: \u62bd\u5951\u7ea6]
\n B –> C[LLM \u63a8\u8fb9\u754c\u7528\u4f8b]
\n C –> D[\u7528\u4f8b\u843d\u5e93+\u7248\u672c\u6807\u6ce8]
\n D –> E[\u6c99\u7bb1\u6267\u884c]
\n E –> F[\u8986\u76d6\u7387\u56de\u5f52]
\n F –>|\u8986\u76d6\u7387\u4e0d\u589e| G[\u6807\u8bb0\u53ef\u7591: \u4eba\u5de5\u590d\u6838]
\n F –>|\u8986\u76d6\u7387\u8fbe\u6807| H[\u65ad\u8a00\u53ef\u4fe1\u5ea6\u6821\u9a8c]
\n H –>|\u65ad\u8a00\u8fc7\u677e| G
\n H –>|\u65ad\u8a00\u5408\u7406| I[\u5408\u5165\u6d4b\u8bd5\u5957\u4ef6]
\n style G fill:#ffebee
\n style I fill:#e8f5e9<\/p>\n

\u5173\u952e\u5728"\u53ef\u4fe1\u5ea6\u6821\u9a8c"\u90a3\u4e00\u6b65\u3002\u4e0d\u662f\u8dd1\u901a\u5c31\u7b97\u6570\u3002\u8981\u67e5\u65ad\u8a00\u662f\u5426\u5bf9\u5b9e\u9645\u8f93\u51fa\u505a\u4e86\u771f\u5b9e\u5224\u65ad\u3002\u7a7a\u65ad\u8a00\u3001\u6052\u771f\u65ad\u8a00，\u90fd\u8981\u5728\u5408\u5165\u524d\u5254\u9664\u3002<\/p>\n

\u4e09\u3001\u751f\u4ea7\u7ea7\u5b9e\u73b0<\/h3>\n

\u4e0b\u9762\u7528\u4ee3\u7801\u63cf\u8ff0\u6d4b\u8bd5\u751f\u6210\u7684\u6838\u5fc3\u6d41\u6c34\u7ebf\u3002\u4ee3\u7801\u7701\u7565 LLM \u8c03\u7528\u7ec6\u8282，\u4f46\u4fdd\u7559\u95ed\u73af\u9aa8\u67b6\u3002\u91cd\u70b9\u5c55\u793a\u9519\u8bef\u5904\u7406\u4e0e\u53ef\u4fe1\u5ea6\u6821\u9a8c\u3002<\/p>\n

import ast
\nimport subprocess
\nimport json
\nfrom dataclasses import dataclass, field
\nfrom typing import Callable, Optional<\/p>\n

@dataclass
\nclass FuncContract:
\n """\u51fd\u6570\u5951\u7ea6：\u7b7e\u540d\u3001\u53c2\u6570\u3001\u8fd4\u56de\u7c7b\u578b\u3002
\n \u4ece AST \u62bd\u53d6，\u4f5c\u4e3a\u751f\u6210\u6d4b\u8bd5\u7684\u4e0a\u4e0b\u6587\u57fa\u7840\u3002
\n \u6ca1\u6709\u5951\u7ea6\u76f4\u63a5\u5582 LLM，\u4f1a\u5f97\u5230\u6cdb\u6cdb\u800c\u8c08\u7684\u6d4b\u8bd5\u3002"""
\n name: str
\n args: list[str]
\n returns: str<\/p>\n

def parse_contracts(source: str) -> list[FuncContract]:
\n """\u89e3\u6790\u6e90\u7801\u62bd\u51fd\u6570\u5951\u7ea6\u3002
\n \u9047\u5230\u8bed\u6cd5\u9519\u8bef\u76f4\u63a5\u629b\u51fa，\u907f\u514d\u6c61\u67d3\u540e\u7eed\u6d41\u7a0b\u3002
\n \u8bbe\u8ba1\u4e0a\u5b81\u53ef\u5931\u8d25，\u4e0d\u541e\u9519\u8bef\u3002"""
\n tree = ast.parse(source)
\n contracts: list[FuncContract] = []
\n for node in ast.walk(tree):
\n if not isinstance(node, ast.FunctionDef):
\n continue
\n # \u8df3\u8fc7\u79c1\u6709\u51fd\u6570：\u6d4b\u8bd5\u5165\u53e3\u7ea6\u5b9a\u4e3a\u516c\u5f00 API
\n if node.name.startswith("_"):
\n continue
\n args = [a.arg for a in node.args.args]
\n ret = ast.unparse(node.returns) if node.returns else "Any"
\n contracts.append(FuncContract(node.name, args, ret))
\n return contracts<\/p>\n

@dataclass
\nclass TestCase:
\n func: str
\n inputs: dict
\n expected: object
\n source_version: str # \u6807\u6ce8\u6765\u6e90\u7248\u672c，\u4fbf\u4e8e\u56de\u5f52\u8ffd\u6eaf<\/p>\n

@dataclass
\nclass GenResult:
\n """\u751f\u6210\u7ed3\u679c：\u7528\u4f8b\u96c6 + \u53ef\u4fe1\u5ea6\u8bc4\u5206\u3002
\n \u8bc4\u5206\u4f4e\u4e8e\u9608\u503c\u7684\u6574\u4f53\u4e22\u5f03，\u907f\u514d\u6c61\u67d3\u5957\u4ef6\u3002"""
\n cases: list[TestCase] = field(default_factory=list)
\n trust_score: float = 0.0<\/p>\n

def generate_via_llm(
\n contract: FuncContract,
\n llm_call: Callable[[str], str],
\n source_version: str,
\n timeout: float = 30.0,
\n) -> GenResult:
\n """\u8c03\u7528 LLM \u751f\u6210\u6d4b\u8bd5\u7528\u4f8b\u3002
\n \u7f51\u7edc\u4e0e\u8d85\u65f6\u98ce\u9669\u9ad8，\u5fc5\u987b\u505a\u8d85\u65f6\u4e0e\u5f02\u5e38\u9694\u79bb\u3002
\n LLM \u8fd4\u56de\u975e JSON \u65f6\u964d\u7ea7\u4e3a\u7a7a\u7ed3\u679c，\u4e0d\u629b\u65ad\u6d41\u3002"""
\n prompt = (
\n f"\u4e3a\u51fd\u6570 {contract.name} \u751f\u6210\u8fb9\u754c\u6d4b\u8bd5\u7528\u4f8b，"
\n f"\u5165\u53c2: {contract.args}, \u8fd4\u56de: {contract.returns}\u3002"
\n "\u8f93\u51fa JSON \u6570\u7ec4，\u6bcf\u9879\u542b inputs \u4e0e expected\u3002"
\n )
\n try:
\n raw = llm_call(prompt)
\n items = json.loads(raw)
\n except (TimeoutError, json.JSONDecodeError) as e:
\n # \u5931\u8d25\u8981\u53ef\u89c1：\u8bb0\u65e5\u5fd7\u4e0d\u9759\u9ed8\u541e\u6389
\n print(f"[gen] {contract.name} \u5931\u8d25: {e}")
\n return GenResult()<\/p>\n

cases = [
\n TestCase(
\n func=contract.name,
\n inputs=item.get("inputs", {}),
\n expected=item.get("expected"),
\n source_version=source_version,
\n )
\n for item in items
\n ]
\n # \u53ef\u4fe1\u5ea6\u521d\u8bc4：\u7528\u4f8b\u6570\u8fc7\u5c11\u89c6\u4e3a\u53ef\u7591
\n score = min(1.0, len(cases) \/ 5.0)
\n return GenResult(cases=cases, trust_score=score)<\/p>\n

def run_with_coverage(test_file: str) -> dict:
\n """\u6267\u884c\u6d4b\u8bd5\u5e76\u91c7\u96c6\u8986\u76d6\u7387\u3002
\n \u5b50\u8fdb\u7a0b\u9694\u79bb\u6267\u884c，\u907f\u514d\u5931\u8d25\u5f71\u54cd\u4e3b\u6d41\u7a0b\u3002
\n \u8fd4\u56de\u7ed3\u6784\u5316\u7ed3\u679c\u4fbf\u4e8e\u540e\u7eed\u5224\u65ad\u3002"""
\n try:
\n proc = subprocess.run(
\n ["pytest", "–cov=json", "–cov-report=term", test_file],
\n capture_output=True,
\n text=True,
\n timeout=120,
\n )
\n return {
\n "ok": proc.returncode == 0,
\n "stdout": proc.stdout,
\n "stderr": proc.stderr,
\n }
\n except subprocess.TimeoutExpired:
\n # \u8d85\u65f6\u5355\u72ec\u6807\u8bb0：\u53ef\u80fd\u662f\u6d4b\u8bd5\u6b7b\u5faa\u73af\u6216\u7f51\u7edc\u8c03\u7528
\n return {"ok": False, "stdout": "", "stderr": "timeout"}<\/p>\n

def regression_check(
\n before_cov: float,
\n after_cov: float,
\n min_delta: float = 0.02,
\n) -> bool:
\n """\u8986\u76d6\u7387\u56de\u5f52\u6821\u9a8c：\u65b0\u589e\u6d4b\u8bd5\u5fc5\u987b\u5e26\u6765\u6b63\u5411\u589e\u91cf\u3002
\n \u9608\u503c\u8bbe\u8fc7\u4f4e，\u4f1a\u653e\u8fc7\u65e0\u6548\u6d4b\u8bd5；\u8fc7\u9ad8\u5219\u8bef\u6740\u6709\u6548\u8865\u5145\u3002
\n min_delta=2% \u662f\u7ecf\u9a8c\u503c，\u53ef\u6309\u56e2\u961f\u8c03\u3002"""
\n return (after_cov – before_cov) >= min_delta<\/p>\n

def detect_weak_assertion(case: TestCase, runner: Callable) -> bool:
\n """\u68c0\u6d4b\u65ad\u8a00\u662f\u5426\u8fc7\u677e\u3002
\n \u601d\u8def：\u628a expected \u66ff\u6362\u4e3a\u968f\u673a\u503c\u518d\u8dd1\u4e00\u6b21\u3002
\n \u82e5\u4ecd\u901a\u8fc7，\u8bf4\u660e\u65ad\u8a00\u6839\u672c\u6ca1\u771f\u6b63\u6821\u9a8c\u8f93\u51fa\u3002"""
\n import random
\n tampered = TestCase(
\n func=case.func,
\n inputs=case.inputs,
\n expected=random.random(),
\n source_version=case.source_version,
\n )
\n try:
\n return runner(tampered)
\n except Exception:
\n # \u629b\u5f02\u5e38\u8bf4\u660e\u65ad\u8a00\u786e\u5b9e\u5728\u6267\u884c，\u5224\u4e3a\u6709\u6548
\n return False<\/p>\n

if __name__ == "__main__":
\n # \u9aa8\u67b6\u6f14\u793a：\u89e3\u6790\u5951\u7ea6\u540e\u8d70\u751f\u6210-\u6267\u884c-\u6821\u9a8c\u95ed\u73af
\n src = "def add(a, b): return a + b\\\\n"
\n contracts = parse_contracts(src)
\n for c in contracts:
\n print(f"\u5951\u7ea6: {c}")<\/p>\n

\u771f\u5b9e\u7cfb\u7edf\u4f1a\u63a5 Git hook \u4e0e CI \u95e8\u7981\u3002PR \u63d0\u4ea4\u65f6\u81ea\u52a8\u751f\u6210\u6d4b\u8bd5，\u8dd1\u4e0d\u8fc7\u95e8\u7981\u4e0d\u8bb8\u5408\u3002\u5e76\u5bf9\u63a5\u7248\u672c\u7ba1\u7406，\u65e7\u6d4b\u8bd5\u968f\u6e90\u7801\u6f14\u8fdb\u4e00\u8d77\u66f4\u65b0\u3002<\/p>\n

\u56db\u3001LLM \u4ee3\u7801\u4ea7\u7269\u7684\u9a8c\u8bc1\u9e3f\u6c9f\u7684\u4ee3\u4ef7\u4e0e\u8fb9\u754c<\/h3>\n

\u95ed\u73af\u5f88\u7f8e，\u4f46\u6bcf\u4e00\u73af\u90fd\u85cf\u7740\u5751\u3002<\/p>\n

\u65ad\u8a00\u5e7b\u89c9\u3002LLM \u751f\u6210\u7684\u65ad\u8a00\u53ef\u80fd\u6052\u771f\u3002\u6bd4\u5982 assert result is not None\u3002\u770b\u7740\u901a\u8fc7，\u5b9e\u9645\u6ca1\u6821\u9a8c\u4e1a\u52a1\u6b63\u786e\u6027\u3002<\/p>\n

\u5fc5\u987b\u505a\u5f31\u65ad\u8a00\u68c0\u6d4b，\u628a\u7a7a\u6821\u9a8c\u5254\u51fa\u53bb\u3002<\/p>\n

\u8986\u76d6\u7387\u9677\u9631\u3002\u8986\u76d6\u7387\u6da8\u4e86\u4e0d\u4ee3\u8868\u6d4b\u4e86\u91cd\u70b9\u3002LLM \u559c\u6b22\u5199\u7b80\u5355\u7684\u6574\u6570\u7528\u4f8b，\u56de\u907f\u590d\u6742\u8def\u5f84\u3002\u8981\u8ffd\u5206\u652f\u8986\u76d6\u4e0e\u53d8\u5f02\u6d4b\u8bd5，\u800c\u975e\u884c\u8986\u76d6\u3002<\/p>\n

\u5426\u5219\u6570\u5b57\u597d\u770b，\u6f0f\u6d1e\u4ecd\u5728\u3002<\/p>\n

\u751f\u6210\u6d4b\u8bd5\u672c\u8eab\u53ef\u4fe1\u5417\u3002LLM \u5199\u6d4b\u8bd5\u65f6\u4e5f\u4f1a\u5199\u9519\u3002\u5e38\u89c1\u7684\u662f\u9884\u671f\u503c\u7b97\u53cd\u3002\u9700\u8981\u62ff"\u5df2\u901a\u8fc7\u7684\u4eba\u5199\u6d4b\u8bd5"\u505a\u951a\u70b9\u6821\u51c6\u3002<\/p>\n

\u65b0\u6d4b\u8bd5\u4e0e\u951a\u70b9\u51b2\u7a81\u65f6，\u89e6\u53d1\u590d\u5ba1\u800c\u975e\u81ea\u52a8\u5408\u3002<\/p>\n

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