v0.12: stabilize search routing and profile-driven phase4 pipeline

This commit is contained in:
kai
2026-04-29 15:53:20 +08:00
parent 450ecebcff
commit 5342a26018
33 changed files with 1436 additions and 140 deletions
+81
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@@ -0,0 +1,81 @@
"""Model profile loading and resolution utilities."""
from __future__ import annotations
from pathlib import Path
from typing import Any
import yaml
REPO_ROOT = Path(__file__).resolve().parents[2]
DEFAULT_MODEL_CONFIG = REPO_ROOT / "configs" / "models.yaml"
LEGACY_MODEL_CONFIG = REPO_ROOT / "configs" / "model_profiles.yaml"
class ModelConfigError(RuntimeError):
pass
def load_model_config(path: Path | None = None) -> dict[str, Any]:
cfg_path = path or DEFAULT_MODEL_CONFIG
if not cfg_path.exists() and LEGACY_MODEL_CONFIG.exists():
cfg_path = LEGACY_MODEL_CONFIG
if not cfg_path.exists():
raise ModelConfigError(f"model config not found: {cfg_path}")
try:
data = yaml.safe_load(cfg_path.read_text(encoding="utf-8")) or {}
except Exception as exc:
raise ModelConfigError(f"invalid YAML in {cfg_path}: {exc}") from exc
if not isinstance(data, dict):
raise ModelConfigError(f"invalid model config shape in {cfg_path}")
return data
def resolve_model_profile(
*,
profile: str | None = None,
overrides: dict[str, str] | None = None,
path: Path | None = None,
) -> dict[str, Any]:
cfg = load_model_config(path)
profiles = cfg.get("profiles") or {}
defaults = cfg.get("defaults") or {}
selected = profile or defaults.get("profile")
if not selected:
raise ModelConfigError("no model profile provided and no defaults.profile set")
if selected not in profiles:
raise ModelConfigError(f"unknown model profile: {selected}")
roles = dict((profiles[selected] or {}).get("roles") or {})
if defaults.get("script_models"):
for role, model in (defaults.get("script_models") or {}).items():
roles.setdefault(role, model)
for role, model in (overrides or {}).items():
roles[role] = model
return {
"profile": selected,
"description": (profiles[selected] or {}).get("description", ""),
"roles": roles,
}
def list_model_profiles(path: Path | None = None) -> list[str]:
cfg = load_model_config(path)
profiles = cfg.get("profiles") or {}
return sorted(profiles.keys())
def parse_model_overrides(items: list[str] | None) -> dict[str, str]:
out: dict[str, str] = {}
for item in items or []:
if "=" not in item:
raise ModelConfigError(f"invalid override '{item}', expected role=model")
role, model = item.split("=", 1)
role = role.strip()
model = model.strip()
if not role or not model:
raise ModelConfigError(f"invalid override '{item}', expected role=model")
out[role] = model
return out
+24 -14
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@@ -1,11 +1,12 @@
"""通用搜索客户端(Exa 优先,Tavily fallback)。
"""通用搜索客户端(Serper / Exa / Tavily 路由)。
为 build_glossary.py 这类术语核查场景服务。
关键设计:
- `trust_env=False` 绕开系统 socks 代理(Clash on macOS 配 socks5 时 httpx 会 TLS EOF
- Exa 优先:LinkedIn / 官网 / 百度百科返回质量最高
- 遇到配额问题自动降级到 Tavily 或返回 empty
- 专利 / Scholar / News 优先 Serper,保证 Google Patents / Google Scholar 路径被真正调用
- 通用网页 Exa 优先,Tavily fallback
- 遇到配额问题自动降级或返回 empty
- 不做深度 crawl,只要摘要
"""
@@ -125,10 +126,11 @@ class SearchClient:
所有客户端都延迟导入 serper_client,避免没装 SERPAPI_KEY 时 import 炸。
"""
def __init__(self) -> None:
def __init__(self, *, strict_specialized: bool = True) -> None:
self._exa: ExaClient | None = None
self._tavily: TavilyClient | None = None
self._serper = None # 惰性实例化
self.strict_specialized = strict_specialized
try:
self._exa = ExaClient()
except SearchError:
@@ -137,10 +139,9 @@ class SearchClient:
self._tavily = TavilyClient()
except SearchError:
pass
if not (self._exa or self._tavily):
raise SearchError(
"neither EXA_API_KEY nor TAVILY_API_KEY available"
)
self._has_serper_key = bool(os.environ.get("SERPER_API_KEY") or os.environ.get("SERPAPI_KEY"))
if not (self._exa or self._tavily or self._has_serper_key):
raise SearchError("no search API key available: set SERPER_API_KEY, SERPAPI_KEY, EXA_API_KEY, or TAVILY_API_KEY")
def _get_serper(self):
"""惰性创建 SerperClient。没 key 时返回 None。"""
@@ -190,9 +191,12 @@ class SearchClient:
try:
hits = serper.patents(query, num_results=num_results)
return [SearchHit(h.title, h.url, h.snippet) for h in hits]
except Exception:
pass
except Exception as exc:
if self.strict_specialized:
raise SearchError(f"serper patents failed: {exc}") from exc
# 降级:通用搜索加 site 限定
if self.strict_specialized:
raise SearchError("serper unavailable for patents route; refusing silent fallback")
return self.search(f"site:patents.google.com {query}", num_results=num_results)
def scholar(
@@ -215,8 +219,11 @@ class SearchClient:
)
for h in hits
]
except Exception:
pass
except Exception as exc:
if self.strict_specialized:
raise SearchError(f"serper scholar failed: {exc}") from exc
if self.strict_specialized:
raise SearchError("serper unavailable for scholar route; refusing silent fallback")
return self.search(query, num_results=num_results)
def news(
@@ -239,8 +246,11 @@ class SearchClient:
)
for h in hits
]
except Exception:
pass
except Exception as exc:
if self.strict_specialized:
raise SearchError(f"serper news failed: {exc}") from exc
if self.strict_specialized:
raise SearchError("serper unavailable for news route; refusing silent fallback")
return self.search(query, num_results=num_results)
+114
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@@ -141,6 +141,8 @@ class ZenMuxClient:
temperature: float = 0.3,
max_tokens: int = 16000,
extra_messages: list[dict[str, str]] | None = None,
web_search: bool = False,
web_search_options: dict[str, Any] | None = None,
tag: str = "",
) -> str:
"""一次非流式对话补全。
@@ -167,6 +169,8 @@ class ZenMuxClient:
"temperature": temperature,
"max_tokens": max_tokens,
}
if web_search:
body["web_search_options"] = web_search_options or {}
headers = {
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json",
@@ -233,6 +237,116 @@ class ZenMuxClient:
self.usage.failed_calls += 1
raise ZenMuxError(f"max retries exhausted. last error: {last_error}")
def chat_complete_with_meta(
self,
model: str,
system: str,
user: str,
*,
temperature: float = 0.3,
max_tokens: int = 16000,
extra_messages: list[dict[str, str]] | None = None,
web_search: bool = False,
web_search_options: dict[str, Any] | None = None,
tag: str = "",
) -> dict[str, Any]:
"""Return content plus metadata from one completion call."""
messages: list[dict[str, str]] = [{"role": "system", "content": system}]
if extra_messages:
messages.extend(extra_messages)
messages.append({"role": "user", "content": user})
body: dict[str, Any] = {
"model": model,
"messages": messages,
"temperature": temperature,
"max_tokens": max_tokens,
}
if web_search:
body["web_search_options"] = web_search_options or {}
headers = {
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json",
}
url = f"{self.base_url}/chat/completions"
last_error = ""
for attempt in range(MAX_RETRIES):
t0 = time.time()
try:
resp = self._client.post(url, json=body, headers=headers)
elapsed = time.time() - t0
except httpx.RequestError as e:
last_error = f"network: {e}"
elapsed = time.time() - t0
self._log({"tag": tag, "attempt": attempt, "elapsed": elapsed, "error": last_error})
time.sleep(2 ** attempt)
continue
if resp.status_code != 200:
retryable = resp.status_code in RETRYABLE_STATUSES
last_error = f"HTTP {resp.status_code}: {resp.text[:500]}"
self._log({
"tag": tag,
"attempt": attempt,
"elapsed": round(elapsed, 2),
"status": resp.status_code,
"error": last_error,
"retryable": retryable,
})
if not retryable:
self.usage.failed_calls += 1
raise ZenMuxError(last_error)
sleep_for = min(60, (2 ** attempt) + (attempt * 0.5))
time.sleep(sleep_for)
continue
try:
data = resp.json()
except Exception as e:
raise ZenMuxError(f"invalid JSON from zenmux: {e}; body={resp.text[:500]}")
usage = data.get("usage", {}) or {}
with self._usage_lock:
self.usage.add(model, usage)
message = ((data.get("choices") or [{}])[0].get("message") or {})
content = message.get("content") or ""
annotations = message.get("annotations") or []
urls: list[str] = []
for ann in annotations:
if not isinstance(ann, dict):
continue
citation = ann.get("url_citation") or {}
url_item = citation.get("url")
if url_item:
urls.append(url_item)
self._log({
"tag": tag,
"model": model,
"attempt": attempt,
"elapsed": round(elapsed, 2),
"usage": usage,
"out_chars": len(content),
"status": 200,
"web_search": web_search,
"citations": len(urls),
})
if not content.strip():
last_error = "empty content"
time.sleep(2 ** attempt)
continue
return {
"content": content,
"usage": usage,
"citations": urls,
"raw": data,
}
self.usage.failed_calls += 1
raise ZenMuxError(f"max retries exhausted. last error: {last_error}")
def load_secrets(env_path: Path | None = None) -> None:
"""从 secrets.env 把 key 塞到 os.environ,便于脚本直接运行。