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- """文本 LLM:判断 / 拆分 / 解构用,走阿里云百炼 OpenAI-compatible /chat/completions。
- 只做一件事:给 system + user,返回解析好的 JSON dict。HTTP/鉴权风格同 extractor。
- """
- from __future__ import annotations
- from typing import Any, Callable, Optional
- import httpx
- from core.config import Settings
- from core.jsonio import extract_json_object
- class LLMError(RuntimeError):
- pass
- def chat_json(
- system: str,
- user: str,
- *,
- model: Optional[str] = None,
- settings: Optional[Settings] = None,
- http_post: Callable[..., Any] = httpx.post,
- env_file: str = ".env",
- timeout: float = 60.0,
- ) -> dict:
- """调一次对话,强约束输出 JSON,返回解析后的 dict。带一次重试。"""
- settings = settings or Settings.from_env(env_file)
- api_key = settings.bailian_api_key
- if not api_key:
- raise LLMError("missing ALIYUN_BAILIAN_API_KEY")
- model = model or settings.llm_model
- messages = [
- {"role": "system", "content": system + (
- "\n只输出一个严格合法的 JSON 对象,不要解释或 markdown。"
- "字符串值要写在一行内,内部的换行写成 \\n、双引号写成 \\\",不要出现裸换行或裸双引号。"
- )},
- {"role": "user", "content": user},
- ]
- url = f"{settings.bailian_base_url.rstrip('/')}/chat/completions"
- headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
- last_exc: Optional[Exception] = None
- # 最多 3 轮:HTTP 错误重试;JSON 不合法则把坏输出喂回去做 self-repair
- for attempt in range(3):
- try:
- resp = http_post(url, headers=headers, json={
- "model": model,
- "messages": messages,
- "response_format": {"type": "json_object"},
- }, timeout=timeout)
- resp.raise_for_status()
- content = resp.json()["choices"][0]["message"]["content"]
- except httpx.HTTPError as exc:
- last_exc = exc
- if attempt < 2:
- continue
- raise LLMError(f"llm_http_error: {exc}") from exc
- except (KeyError, IndexError, TypeError) as exc:
- raise LLMError(f"llm_response_invalid: {exc}") from exc
- try:
- return extract_json_object(content)
- except ValueError as exc:
- last_exc = exc
- messages = messages + [
- {"role": "assistant", "content": content},
- {"role": "user", "content": (
- "上面的输出不是严格合法的 JSON。请只重新输出严格合法的 JSON,"
- "字符串内的换行写成 \\n、双引号写成 \\\",不要任何解释或 markdown。"
- )},
- ]
- raise LLMError(f"llm_json_unrepairable: {last_exc}")
- # 默认对话器类型:(system, user) -> dict。stage 可注入假实现做离线测试。
- ChatFn = Callable[[str, str], dict]
- def default_chat(env_file: str = ".env", model: Optional[str] = None) -> ChatFn:
- settings = Settings.from_env(env_file)
- return lambda system, user: chat_json(
- system, user, model=model, settings=settings
- )
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