```

feat(api): 添加万川平台模型配置获取和同步功能

- 新增 getWanchuanModelConfig 函数，按模型编码获取平台模型配置
- 新增 syncWanchuanModelToSettings 函数，从万川平台拉取模型配置并写入后端 AI 设置
- 支持按用途分多个模型编码（generic/vision/voice）分别同步配置
- 配置失败时跳过对应字段，不影响其他模型同步

feat(settings): 重构AI模型配置界面支持多模块分组

- 将AI配置按话题分析、报告生成、视觉、语音四个模块分组展示
- 每个模块独立配置接口地址、密钥和模型名称
- 添加从万川平台获取配置的按钮和同步功能
- 优化配置状态指示和错误提示信息

refactor(config): 扩展AI配置支持独立的语音视觉报告网关

- 新增 voice_base_url/voice_api_key 配置项
- 新增 vision_base_url/vision_api_key 配置项
- 新增 summary_base_url/summary_api_key 配置项
- 留空时回退到 ai_base_url/ai_api_key 兼容单网关场景

refactor(http): 统一使用共享HTTP客户端减少连接开销

- 替换各处 httpx.AsyncClient 为 shared_client
- 在 lifespan 中正确关闭共享客户端资源
- 优化 get_current_wxid 和 health 检查中的HTTP请求

refactor(ai): 按用途缓存AI客户端支持不同网关配置

- 重构 get_openai_client 支持按(base_url, api_key)缓存
- 新增 get_client_for 函数按用途获取对应客户端
- 支持语音、视觉、报告等不同用途使用独立网关和密钥
```

chatlog_fastAPI/services/ai_client.py

@@ -3,29 +3,44 @@ from openai import AsyncOpenAI
 
 from services.runtime_settings import get_ai_settings
 
+# 按 (base_url, api_key) 缓存客户端：聊天/视觉/语音可能指向不同网关与密钥，
+# 各自一个 pair，最多累积 3 个，有界。配置变更（settings PUT 会 invalidate
+# runtime_settings 缓存）后，新的 pair 会自然生成新客户端；旧的留存无副作用。
 _client_cache: dict[tuple[str, str], AsyncOpenAI] = {}
 _http_client_cache: dict[tuple[str, str], httpx.AsyncClient] = {}
 
 
-async def get_openai_client() -> tuple[AsyncOpenAI, dict]:
-    settings = await get_ai_settings()
-    cache_key = (
-        settings.get("ai_base_url") or "",
-        settings.get("ai_api_key") or "",
-    )
-
+def _get_client(base_url: str, api_key: str) -> AsyncOpenAI:
+    cache_key = (base_url or "", api_key or "")
     if cache_key not in _client_cache:
-        for http_client in _http_client_cache.values():
-            await http_client.aclose()
-        _client_cache.clear()
-        _http_client_cache.clear()
-
         http_client = httpx.AsyncClient(timeout=httpx.Timeout(600.0, connect=30.0))
         _http_client_cache[cache_key] = http_client
         _client_cache[cache_key] = AsyncOpenAI(
-            api_key=settings.get("ai_api_key") or "missing",
-            base_url=settings.get("ai_base_url"),
+            api_key=api_key or "missing",
+            base_url=base_url or None,
             http_client=http_client,
         )
+    return _client_cache[cache_key]
 
-    return _client_cache[cache_key], settings
+
+async def get_openai_client() -> tuple[AsyncOpenAI, dict]:
+    """聊天调用方（话题/报告/总结/对话）复用：用全局 ai_base_url / ai_api_key。"""
+    settings = await get_ai_settings()
+    client = _get_client(
+        settings.get("ai_base_url") or "",
+        settings.get("ai_api_key") or "",
+    )
+    return client, settings
+
+
+async def get_client_for(purpose: str) -> tuple[AsyncOpenAI, dict]:
+    """按用途取客户端：purpose 为 'voice' / 'vision'。
+
+    优先用 {purpose}_base_url / {purpose}_api_key，为空则回退到全局
+    ai_base_url / ai_api_key（单网关场景无需重复配置）。
+    """
+    settings = await get_ai_settings()
+    base_url = settings.get(f"{purpose}_base_url") or settings.get("ai_base_url") or ""
+    api_key = settings.get(f"{purpose}_api_key") or settings.get("ai_api_key") or ""
+    client = _get_client(base_url, api_key)
+    return client, settings

chatlog_fastAPI/services/chatlog_client.py

@@ -2,6 +2,7 @@ import httpx
 import asyncio
 from typing import List
 from config import settings
+from services.http_client import shared_client
 
 
 class ChatlogHTTPError(RuntimeError):
@@ -21,13 +22,21 @@ class ChatlogClient:
     def __init__(self):
         self.base = settings.chatlog_base_url
         self._contact_db_file = None
+        # 进程级头像缓存：wxid -> url。同一账号下同一 wxid 只查一次 chatlog SQL，
+        # 避免打开群聊时几十个发言人各打一次 /api/v1/db/query 头像查询。
+        self._avatar_cache: dict[str, str] = {}
+
+    def reset_account_cache(self):
+        """账号切换时调用：清掉 contact 库路径与头像缓存，避免显示上一个账号的数据。"""
+        self._contact_db_file = None
+        self._avatar_cache.clear()
 
     async def _get(self, path: str, params: dict, timeout: float = 30.0) -> dict:
         try:
-            async with httpx.AsyncClient(timeout=timeout, trust_env=False) as client:
-                r = await client.get(f"{self.base}{path}", params=params)
-                r.raise_for_status()
-                return r.json()
+            client = shared_client()
+            r = await client.get(f"{self.base}{path}", params=params, timeout=timeout)
+            r.raise_for_status()
+            return r.json()
         except httpx.TimeoutException:
             raise RuntimeError(f"chatlog timeout: GET {path}")
         except httpx.HTTPStatusError as e:
@@ -38,10 +47,10 @@ class ChatlogClient:
 
     async def _post(self, path: str, body: dict, timeout: float = 30.0) -> dict:
         try:
-            async with httpx.AsyncClient(timeout=timeout, trust_env=False) as client:
-                r = await client.post(f"{self.base}{path}", json=body)
-                r.raise_for_status()
-                return r.json()
+            client = shared_client()
+            r = await client.post(f"{self.base}{path}", json=body, timeout=timeout)
+            r.raise_for_status()
+            return r.json()
         except httpx.TimeoutException:
             raise RuntimeError(f"chatlog timeout: POST {path}")
         except httpx.HTTPStatusError as e:
@@ -128,15 +137,16 @@ class ChatlogClient:
 
     async def get_message(self, talker: str, seq: int) -> dict | None:
         try:
-            async with httpx.AsyncClient(timeout=10.0, trust_env=False) as client:
-                r = await client.get(
-                    f"{self.base}/api/v1/chatlog/message",
-                    params={"talker": talker, "seq": seq},
-                )
-                if r.status_code == 404:
-                    return None
-                r.raise_for_status()
-                return r.json()
+            client = shared_client()
+            r = await client.get(
+                f"{self.base}/api/v1/chatlog/message",
+                params={"talker": talker, "seq": seq},
+                timeout=10.0,
+            )
+            if r.status_code == 404:
+                return None
+            r.raise_for_status()
+            return r.json()
         except httpx.TimeoutException:
             raise RuntimeError("chatlog timeout: get_message")
         except Exception as e:
@@ -174,6 +184,11 @@ class ChatlogClient:
 
 
     async def get_avatar_url(self, wxid: str) -> str:
+        if not wxid:
+            return ""
+        cached = self._avatar_cache.get(wxid)
+        if cached is not None:
+            return cached
         if self._contact_db_file is None:
             try:
                 db_list = await self._get("/api/v1/db", {})
@@ -185,15 +200,17 @@ class ChatlogClient:
         safe_wxid = wxid.replace("'", "''")
         sql = f"SELECT small_head_url, big_head_url FROM contact WHERE username='{safe_wxid}' LIMIT 1"
         params = {"group": "contact", "file": self._contact_db_file, "sql": sql}
+        url = ""
         try:
             rows = await self._get("/api/v1/db/query", params, timeout=5.0)
             if rows:
                 url = rows[0].get("small_head_url") or rows[0].get("big_head_url") or ""
-                if url:
-                    return url
         except Exception:
-            pass
-        return ""
+            # 查询失败不写缓存，下次仍可重试
+            return ""
+        # 命中（含确定无头像的空串）都缓存，避免重复查询
+        self._avatar_cache[wxid] = url
+        return url
 
     async def get_db_paths(self) -> dict:
         data = await self._get("/api/v1/db", {}, timeout=10.0)

chatlog_fastAPI/services/http_client.py

@@ -0,0 +1,46 @@
+"""共享的 httpx.AsyncClient。
+
+历史问题：后端每次访问 chatlog.exe（127.0.0.1:5030）都新建一个 AsyncClient，
+用完即关，没有 keep-alive。打开一个群聊会瞬间产生几十条短连接（图片代理、
+头像查询等），在 Windows 上会堆积 TIME_WAIT / 耗尽临时端口，导致“用一会儿就卡”。
+
+这里改为全后端共享一个带连接池的 client，复用 keep-alive 连接，连接建立开销
+和端口占用都大幅下降。在 lifespan 关闭时统一释放。
+"""
+
+from __future__ import annotations
+
+import httpx
+
+_client: httpx.AsyncClient | None = None
+
+
+def shared_client() -> httpx.AsyncClient:
+    """返回进程级共享的 AsyncClient（惰性创建）。
+
+    - trust_env=False：与原各处调用保持一致，不读系统代理，避免本地回环被代理拦截。
+    - follow_redirects=True：媒体/文件接口需要；普通 api 调用无重定向，无副作用。
+    - limits：保持 keep-alive 连接，避免每请求新建连接。
+    单次请求可通过 client.get(..., timeout=...) 覆盖超时。
+    """
+    global _client
+    if _client is None or _client.is_closed:
+        _client = httpx.AsyncClient(
+            trust_env=False,
+            follow_redirects=True,
+            timeout=httpx.Timeout(30.0, connect=5.0),
+            limits=httpx.Limits(
+                max_keepalive_connections=32,
+                max_connections=128,
+                keepalive_expiry=30.0,
+            ),
+        )
+    return _client
+
+
+async def close_shared_client() -> None:
+    """在应用关闭时释放共享 client。"""
+    global _client
+    if _client is not None and not _client.is_closed:
+        await _client.aclose()
+    _client = None

chatlog_fastAPI/services/media_parser.py

@@ -1,18 +1,19 @@
+import asyncio
 import base64
 import logging
 
 import httpx
 from fastapi import HTTPException
 
-from services.ai_client import get_openai_client
+from services.ai_client import get_client_for
 from services.media_resolver import resolve_media
 from services.runtime_settings import get_ai_settings
 
 log = logging.getLogger(__name__)
 
-
-async def _get_ai_client():
-    return await get_openai_client()
+# 语音异步 ASR 默认网关（阿里云）。voice_base_url 为空时回退到此；
+# 提交任务/轮询的子路径由代码自动拼接，配置只需填到 .../api/v1 这一层。
+DEFAULT_ASR_BASE_URL = "https://dashscope.aliyuncs.com/api/v1"
 
 
 async def parse_media(kind: str, key: str) -> dict:
@@ -28,12 +29,17 @@ async def parse_media(kind: str, key: str) -> dict:
         raise HTTPException(400, "媒体 key 不能为空")
 
     ai = await get_ai_settings()
-    if not ai.get("ai_api_key"):
-        raise HTTPException(503, "AI 服务未配置，请在设置页填写 AI API Key")
-    if kind == "voice" and not ai.get("voice_model"):
-        raise HTTPException(503, "语音模型未配置，请在设置页填写语音模型名称，例如 paraformer-v2")
-    if kind in ("image", "video") and not ai.get("vision_model"):
-        raise HTTPException(503, "视觉模型未配置，请在设置页填写视觉模型名称，例如 qwen-vl-plus")
+    # voice/vision 各自有独立 url/key，为空则回退全局 ai_api_key
+    if kind == "voice":
+        if not (ai.get("voice_api_key") or ai.get("ai_api_key")):
+            raise HTTPException(503, "AI 服务未配置，请在设置页填写语音密钥或 AI API Key")
+        if not ai.get("voice_model"):
+            raise HTTPException(503, "语音模型未配置，请在设置页填写语音模型名称，例如 paraformer-v2")
+    if kind in ("image", "video"):
+        if not (ai.get("vision_api_key") or ai.get("ai_api_key")):
+            raise HTTPException(503, "AI 服务未配置，请在设置页填写视觉密钥或 AI API Key")
+        if not ai.get("vision_model"):
+            raise HTTPException(503, "视觉模型未配置，请在设置页填写视觉模型名称，例如 qwen-vl-plus")
 
     media = await resolve_media(kind, key)
     if kind == "voice":
@@ -41,56 +47,90 @@ async def parse_media(kind: str, key: str) -> dict:
     return {"text": await _parse_visual(kind, media.bytes, media.content_type)}
 
 
-async def _parse_voice(media_bytes: bytes, content_type: str) -> str:
-    b64_audio = base64.b64encode(media_bytes).decode()
-    audio_ct = content_type.lower()
-    if "silk" in audio_ct or "x-silk" in audio_ct:
-        audio_mime = "audio/silk"
-    elif "amr" in audio_ct:
-        audio_mime = "audio/amr"
-    elif "ogg" in audio_ct or "opus" in audio_ct:
-        audio_mime = "audio/ogg"
-    elif "wav" in audio_ct:
-        audio_mime = "audio/wav"
-    else:
-        audio_mime = "audio/mpeg"
+def _audio_mime(content_type: str) -> str:
+    """由 chatlog 返回的 content_type 推断音频 MIME（用于 data URI）。"""
+    ct = content_type.lower()
+    if "silk" in ct or "x-silk" in ct:
+        return "audio/silk"
+    if "amr" in ct:
+        return "audio/amr"
+    if "ogg" in ct or "opus" in ct:
+        return "audio/ogg"
+    if "wav" in ct:
+        return "audio/wav"
+    return "audio/mpeg"
 
-    data_uri = f"data:{audio_mime};base64,{b64_audio}"
-    _, ai = await _get_ai_client()
+
+def _asr_json(resp: httpx.Response, url: str) -> dict:
+    """安全解析 ASR 响应为 JSON。
+
+    响应非 JSON（空响应 / HTML 错误页 / 网关 404）时，原来直接 .json() 会抛
+    JSONDecodeError，把真实原因（HTTP 状态码 + 正文）掩盖掉。这里改成抛出
+    带状态码与正文片段的 HTTPException，便于排查（如地址填成 compatible-mode/v1）。
+    """
+    try:
+        return resp.json()
+    except Exception:
+        body = (resp.text or "").strip()[:300]
+        raise HTTPException(
+            500,
+            f"ASR 接口返回非 JSON (HTTP {resp.status_code}) @ {url}：{body or '（空响应）'}。"
+            "请检查语音接口地址是否为异步 ASR 网关（如 .../api/v1）及密钥是否正确。",
+        )
+
+
+async def _parse_voice(media_bytes: bytes, content_type: str) -> str:
+    """语音转文字：阿里云异步 ASR 协议（提交任务 → 轮询 → 取结果）。
+
+    接口地址动态：base = voice_base_url（为空直接用默认阿里云原生网关，不回退 ai_base_url），
+    提交端点 = {base}/services/audio/asr/transcription，轮询 = {base}/tasks/{id}，
+    子路径由代码自动拼接，配置只需填到 .../api/v1 这一层。
+    密钥 = voice_api_key（为空回退 ai_api_key）。
+    """
+    ai = await get_ai_settings()
+    # strip 防止配置/同步带入首尾空格（实测出现过 api_key 前导空格导致鉴权失败）
+    # 注意：异步 ASR 走原生网关 /api/v1，与 ai_base_url（OpenAI 兼容的 chat 端点
+    # .../compatible-mode/...）是两套服务，不能混用。voice_base_url 为空时应回退到
+    # DEFAULT_ASR_BASE_URL，绝不能回退到 ai_base_url，否则会拼成 .../compatible-mode/.../asr 而 404。
+    base = (ai.get("voice_base_url") or DEFAULT_ASR_BASE_URL).strip().rstrip("/")
+    api_key = (ai.get("voice_api_key") or ai.get("ai_api_key") or "").strip()
+    voice_model = (ai.get("voice_model") or "").strip()
+
+    b64_audio = base64.b64encode(media_bytes).decode()
+    data_uri = f"data:{_audio_mime(content_type)};base64,{b64_audio}"
     asr_headers = {
-        "Authorization": f"Bearer {ai['ai_api_key']}",
+        "Authorization": f"Bearer {api_key}",
         "Content-Type": "application/json",
     }
 
+    submit_url = f"{base}/services/audio/asr/transcription"
     async with httpx.AsyncClient(timeout=60) as http:
         submit = await http.post(
-            "https://dashscope.aliyuncs.com/api/v1/services/audio/asr/transcription",
+            submit_url,
             headers={**asr_headers, "X-DashScope-Async": "enable"},
             json={
-                "model": ai["voice_model"],
+                "model": voice_model,
                 "input": {"file_urls": [data_uri]},
                 "parameters": {"language_hints": ["zh", "en"]},
             },
             timeout=30,
         )
-        submit_data = submit.json()
+        submit_data = _asr_json(submit, submit_url)
         if submit.status_code not in (200, 201):
-            raise HTTPException(500, f"提交识别任务失败: {submit_data.get('message', submit_data)}")
+            raise HTTPException(500, f"提交识别任务失败 (HTTP {submit.status_code}): {submit_data.get('message', submit_data)}")
 
         task_id = submit_data.get("output", {}).get("task_id")
         if not task_id:
             raise HTTPException(500, f"未获取到 task_id: {submit_data}")
 
         for _ in range(30):
-            import asyncio
-
             await asyncio.sleep(1)
             poll = await http.get(
-                f"https://dashscope.aliyuncs.com/api/v1/tasks/{task_id}",
+                f"{base}/tasks/{task_id}",
                 headers=asr_headers,
                 timeout=10,
             )
-            poll_data = poll.json()
+            poll_data = _asr_json(poll, f"{base}/tasks/{task_id}")
             status = poll_data.get("output", {}).get("task_status", "")
             if status == "SUCCEEDED":
                 results = poll_data.get("output", {}).get("results", [])
@@ -125,7 +165,7 @@ async def _parse_visual(kind: str, media_bytes: bytes, content_type: str) -> str
     data_url = f"data:{mime};base64,{b64}"
     prompt = "请用中文简洁描述这张图片的内容。" if kind == "image" else "请用中文简洁描述这个视频截图的内容。"
 
-    client, ai = await _get_ai_client()
+    client, ai = await get_client_for("vision")
     resp_ai = await client.chat.completions.create(
         model=ai["vision_model"],
         messages=[

chatlog_fastAPI/services/media_resolver.py

@@ -10,6 +10,7 @@ from fastapi import HTTPException
 
 from config import settings
 from services.chatlog_context import get_chatlog_context
+from services.http_client import shared_client
 
 log = logging.getLogger(__name__)
 
@@ -100,25 +101,25 @@ async def diagnose_media(kind: str, key: str) -> dict:
         "chatlog_context": get_chatlog_context(),
     }
 
-    async with httpx.AsyncClient(timeout=20, trust_env=False, follow_redirects=True) as client:
-        try:
-            resp = await client.get(url)
-            content_type = resp.headers.get("content-type", "")
-            result.update(
-                {
-                    "status_code": resp.status_code,
-                    "content_type": content_type,
-                    "content_length": len(resp.content or b""),
-                    "ok": resp.status_code < 400 and bool(resp.content),
-                }
-            )
-            if resp.status_code >= 400:
-                result["error"] = _download_failure_message(kind, key, resp.status_code, resp.text[:500])
-                result["response_preview"] = resp.text[:500]
-            elif not resp.content:
-                result["error"] = "chatlog 返回了空媒体文件"
-        except Exception as exc:
-            result.update({"error": f"无法连接 chatlog 媒体接口: {exc}", "exception": str(exc)})
+    client = shared_client()
+    try:
+        resp = await client.get(url, timeout=20)
+        content_type = resp.headers.get("content-type", "")
+        result.update(
+            {
+                "status_code": resp.status_code,
+                "content_type": content_type,
+                "content_length": len(resp.content or b""),
+                "ok": resp.status_code < 400 and bool(resp.content),
+            }
+        )
+        if resp.status_code >= 400:
+            result["error"] = _download_failure_message(kind, key, resp.status_code, resp.text[:500])
+            result["response_preview"] = resp.text[:500]
+        elif not resp.content:
+            result["error"] = "chatlog 返回了空媒体文件"
+    except Exception as exc:
+        result.update({"error": f"无法连接 chatlog 媒体接口: {exc}", "exception": str(exc)})
 
     if kind == "voice":
         result["resource_db"] = _read_voice_resource_status(key)
@@ -132,30 +133,30 @@ async def resolve_media(kind: str, key: str) -> ResolvedMedia:
         raise HTTPException(400, "媒体 key 不能为空")
 
     url = _media_url(kind, key, thumb=kind in {"image", "video"})
-    async with httpx.AsyncClient(timeout=60, trust_env=False, follow_redirects=True) as client:
-        try:
-            resp = await client.get(url)
-            resp.raise_for_status()
-        except httpx.HTTPStatusError as exc:
-            diagnostics = await diagnose_media(kind, key)
-            log.warning("[media_resolver] media download failed: %s", diagnostics)
-            raise HTTPException(
-                502,
-                {
-                    "message": _download_failure_message(kind, key, exc.response.status_code, exc.response.text[:500]),
-                    "diagnostics": diagnostics,
-                },
-            )
-        except Exception as exc:
-            diagnostics = await diagnose_media(kind, key)
-            log.warning("[media_resolver] media download exception: %s", diagnostics)
-            raise HTTPException(
-                502,
-                {
-                    "message": _download_failure_message(kind, key, None, str(exc)),
-                    "diagnostics": diagnostics,
-                },
-            )
+    client = shared_client()
+    try:
+        resp = await client.get(url, timeout=60)
+        resp.raise_for_status()
+    except httpx.HTTPStatusError as exc:
+        diagnostics = await diagnose_media(kind, key)
+        log.warning("[media_resolver] media download failed: %s", diagnostics)
+        raise HTTPException(
+            502,
+            {
+                "message": _download_failure_message(kind, key, exc.response.status_code, exc.response.text[:500]),
+                "diagnostics": diagnostics,
+            },
+        )
+    except Exception as exc:
+        diagnostics = await diagnose_media(kind, key)
+        log.warning("[media_resolver] media download exception: %s", diagnostics)
+        raise HTTPException(
+            502,
+            {
+                "message": _download_failure_message(kind, key, None, str(exc)),
+                "diagnostics": diagnostics,
+            },
+        )
 
     if not resp.content:
         diagnostics = await diagnose_media(kind, key)

chatlog_fastAPI/services/runtime_settings.py

@@ -27,6 +27,13 @@ async def get_ai_settings() -> dict:
         "vision_model": "",
         "voice_model": "",
         "topic_analysis_prompt": "",
+        # 语音/视觉/报告生成独立网关与密钥；留空则由调用方回退到 ai_base_url / ai_api_key
+        "voice_base_url": "",
+        "voice_api_key": "",
+        "vision_base_url": "",
+        "vision_api_key": "",
+        "summary_base_url": "",
+        "summary_api_key": "",
     }
 
     try:

chatlog_fastAPI/services/summary_engine.py

@@ -13,7 +13,7 @@ import aiosqlite
 from urllib.parse import quote
 
 from database import get_active_db_path
-from services.ai_client import get_openai_client
+from services.ai_client import get_client_for
 from services.fts import tokenize
 from services.message_formatter import append_quote_text, extract_contents, extract_quote
 from services.report_learning import build_report_learning_context
@@ -25,7 +25,8 @@ SUMMARY_LLM_TIMEOUT_SECONDS = 300
 
 
 async def _get_client():
-    return await get_openai_client()
+    # 报告生成走独立网关 summary_base_url/summary_api_key（为空回退 ai_*）
+    return await get_client_for("summary")
 
 
 def _message_line(item: dict, fallback_seq: int = 0) -> tuple[int, str] | None: