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
86 lines
2.7 KiB
Python
86 lines
2.7 KiB
Python
"""DeepSeek 评测台评审：模型别名解析 + ChatOpenAI 装配。"""
|
||
|
||
from __future__ import annotations
|
||
|
||
from langchain_openai import ChatOpenAI
|
||
|
||
from app.adapters.llm.openai_base_url import normalize_openai_compatible_base_url
|
||
from app.core.config import settings
|
||
from app.core.eval_judge_spec import EvalJudgeLlmSpec
|
||
|
||
|
||
def resolve_deepseek_eval_judge_model(
|
||
requested: str,
|
||
) -> tuple[str, dict | None, str | None]:
|
||
"""将模型名（含旧别名）规范为 V4 的 model id、extra_body 与 reasoning_effort。
|
||
|
||
官方：deepseek-chat / deepseek-reasoner 将弃用，分别对应 v4-flash 非思考 / 思考。
|
||
"""
|
||
m = (requested or "").strip()
|
||
if m == "deepseek-chat":
|
||
return (
|
||
"deepseek-v4-flash",
|
||
{"thinking": {"type": "disabled"}},
|
||
None,
|
||
)
|
||
if m in (
|
||
"deepseek-reasoner",
|
||
"deepseek-r1",
|
||
):
|
||
return (
|
||
"deepseek-v4-flash",
|
||
{"thinking": {"type": "enabled"}},
|
||
"high",
|
||
)
|
||
if m == "deepseek-v4-pro":
|
||
return ("deepseek-v4-pro", None, "high")
|
||
if m in ("", "deepseek-v4-flash"):
|
||
if settings.eval_judge_deepseek_thinking_enabled:
|
||
return (
|
||
"deepseek-v4-flash",
|
||
{"thinking": {"type": "enabled"}},
|
||
"high",
|
||
)
|
||
return (
|
||
"deepseek-v4-flash",
|
||
{"thinking": {"type": "disabled"}},
|
||
None,
|
||
)
|
||
if "flash" in m.lower() or m.startswith("deepseek-v4"):
|
||
return (m, None, None)
|
||
return (m, None, None)
|
||
|
||
|
||
def build_deepseek_eval_judge_spec(
|
||
judge_model: str | None,
|
||
) -> EvalJudgeLlmSpec | None:
|
||
"""密钥缺失时返回 None。"""
|
||
api_key = (settings.deepseek_api_key or settings.llm_api_key or "").strip()
|
||
if not api_key:
|
||
return None
|
||
want = (judge_model or "").strip()
|
||
base = normalize_openai_compatible_base_url(
|
||
settings.deepseek_base_url,
|
||
fallback="https://api.deepseek.com",
|
||
)
|
||
default_m = (settings.eval_judge_deepseek_model or "deepseek-v4-flash").strip()
|
||
combined = want or default_m
|
||
model, extra, effort = resolve_deepseek_eval_judge_model(combined)
|
||
ctx = int(settings.eval_judge_deepseek_context_window_tokens)
|
||
llm_kw: dict = {
|
||
"api_key": api_key,
|
||
"base_url": base,
|
||
"model": model,
|
||
"temperature": settings.eval_judge_temperature,
|
||
}
|
||
if extra is not None:
|
||
llm_kw["extra_body"] = extra
|
||
if effort is not None:
|
||
llm_kw["reasoning_effort"] = effort
|
||
return EvalJudgeLlmSpec(
|
||
llm=ChatOpenAI(**llm_kw),
|
||
provider="deepseek",
|
||
resolved_model=model,
|
||
context_window_tokens=ctx,
|
||
)
|