80833f7033
- 主链路默认 deepseek-v4-flash，DEEPSEEK_THINKING_ENABLED 对齐旧非思考 chat - 评测台评审装配迁入 adapters/llm（deepseek_eval_judge、zhipu_eval_judge）与 eval_judge_spec - 拆分 llm_http_openai_chat_errors 与 llm_errors（DeepSeek/智谱品牌与文档链），llm_call 支持 http_error_vendor - EvalJudgeService 按 spec.provider 传入 allm_json_call；评测台前端文案改为 V4 Flash - 更新 .env 示例与 staging/production 的 DEEPSEEK_MODEL；补充 openai/供应商错讯测试 Made-with: Cursor
38 lines
1.2 KiB
Python
38 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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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.eval_judge_api_key or 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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settings.eval_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 (settings.eval_judge_model or "glm-5")
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ctx = int(settings.eval_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": settings.eval_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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