53e0065e3e
配置 SSOT（TOML + .env） 统一错误契约 Auth 与事务边界 Redis / Celery 可靠性:业务 Redis（DB/0）与 Celery broker/backend（DB/1）显式拆分；连接池、sync client 可观测性（OpenTelemetry + LGTM）
39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
"""智谱 GLM 评测台评审：OpenAI 兼容端点 + ChatOpenAI 装配。"""
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from __future__ import annotations
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from langchain_openai import ChatOpenAI
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from app.adapters.llm.openai_base_url import normalize_openai_compatible_base_url
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from app.core.config import settings
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from app.core.eval_judge_spec import EvalJudgeLlmSpec
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from app.features.evaluation.constants import eval_cfg
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def build_zhipu_eval_judge_spec(
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judge_model: str | None,
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) -> EvalJudgeLlmSpec | None:
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"""密钥缺失时返回 None。"""
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api_key = (settings.zhipu_api_key or "").strip()
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if not api_key:
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return None
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want = (judge_model or "").strip()
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base = normalize_openai_compatible_base_url(
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eval_cfg.judge_base_url,
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fallback="https://open.bigmodel.cn/api/paas/v4",
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)
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model = want or (eval_cfg.judge_model or "glm-5")
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ctx = int(eval_cfg.judge_context_window_tokens)
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llm_kw: dict = {
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"api_key": api_key,
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"base_url": base,
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"model": model,
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"temperature": eval_cfg.judge_temperature,
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}
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return EvalJudgeLlmSpec(
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llm=ChatOpenAI(**llm_kw),
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provider="zhipu",
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resolved_model=model,
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context_window_tokens=ctx,
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)
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