feat: M1+M2 gateway hardening and multi-instance pool

Behavior hardening (M1):
- Fix `_chat_streams` memory leak: pop_stream on completion, error, and
  client disconnect.
- Add WebSocket reconnect with state machine (stopped/starting/ready/
  reconnecting/failed/closed) and exponential backoff, so a Lingma
  restart no longer requires restarting the gateway.
- Lazy initialization: startup failure is non-fatal, first real request
  triggers retry, `/healthz` reflects readiness.
- Migrate FastAPI on_event to lifespan.
- Structured JSON logging with request_id ContextVar; `x-request-id`
  propagated to responses.
- SSE now sets `Cache-Control: no-cache`, `X-Accel-Buffering: no` to
  defeat proxy buffering.
- OpenAI schema compatibility: `content` accepts str | list[parts] | None,
  added `developer`/`function` roles, `tools/tool_choice/stream_options/
  user/max_tokens` fields, and `stream_options.include_usage` emits final
  usage chunk.
- `require_bearer` uses `hmac.compare_digest`; `/metrics` now requires
  Bearer when `METRICS_TOKEN` or `API_KEYS` are set.
- Python 3.10/3.11 `TimeoutError` vs `asyncio.TimeoutError` unified.
- Error responses no longer leak `auto_login.status()` details.

Backpressure (M2 / A2):
- New `InFlightGuard` with per-request ticket, queue + rejection
  accounting, `BackpressureRejected` raises 429 + `Retry-After` once
  `GATEWAY_QUEUE_TIMEOUT_SEC` elapses.
- Streaming ticket ownership transfers to the generator so CancelledError
  from client disconnect still releases the slot.
- `/internal/stats.concurrency` and `/metrics` expose in_flight/queued/
  accepted_total/rejected_total/max_in_flight.

Multi-instance pool (M2 / A1 + B3):
- New `LingmaPool` with N processes, each with its own workDir, socket
  port (dynamic when N>1), and `AutoLoginManager`.
- Account parser supports CSV (`u1:p1,u2:p2`) and JSON formats via
  `LINGMA_ACCOUNTS`; falls back to `LINGMA_USERNAME/LINGMA_PASSWORD` for
  backwards compatibility (N=1 keeps legacy paths/ports).
- Routing: sticky affinity by `user` / system-prompt hash, then
  least-in-flight, finally round-robin fallback for unhealthy pool.
- `/healthz` reports per-instance state and ready count.
- `/internal/stats.pool` and `/metrics` expose per-instance
  `gateway_pool_instance_in_flight{name}` / `gateway_pool_instance_ready{name}`.
- `/internal/auto-login/start?instance=inst-N` targets a specific instance;
  `/internal/auto-login/status` lists all instances.

Compat notes:
- `.env.example` adds `METRICS_TOKEN`, `LOG_LEVEL`, `GATEWAY_MAX_IN_FLIGHT`,
  `GATEWAY_QUEUE_TIMEOUT_SEC`, `LINGMA_ACCOUNTS`, `LINGMA_INSTANCE_COUNT`.
- `.gitignore` cleaned up data/ duplication.
- Existing single-instance deployments keep working without config change.

Made-with: Cursor

.env.example

@@ -4,6 +4,15 @@ HOST=0.0.0.0
 PORT=8317
 # API Key，可配置多个（逗号分隔）
 API_KEYS=sk-your-api-key
+# 独立的 /metrics 鉴权 token（留空则退化为 API_KEYS 也可访问；若连 API_KEYS 都没配，/metrics 为公开）
+METRICS_TOKEN=
+# 日志级别（DEBUG / INFO / WARNING / ERROR）
+LOG_LEVEL=INFO
+
+# /v1/chat/completions 并发上限（<=0 表示不限流）
+GATEWAY_MAX_IN_FLIGHT=4
+# 排队等待超时秒数，超过后返回 429 + Retry-After
+GATEWAY_QUEUE_TIMEOUT_SEC=30
 
 # 容器内 Lingma 二进制路径
 LINGMA_BIN=/app/data/bin/Lingma
@@ -45,7 +54,16 @@ AUTO_LOGIN_TIMEOUT=180
 # 自动登录重试次数
 AUTO_LOGIN_MAX_RETRY=2
 
-# Lingma 登录用户名
+# Lingma 登录用户名（仅当 LINGMA_ACCOUNTS 为空时生效，单实例模式）
 LINGMA_USERNAME=
-# Lingma 登录密码
+# Lingma 登录密码（仅当 LINGMA_ACCOUNTS 为空时生效）
 LINGMA_PASSWORD=
+
+# ==== 多实例池（方案乙：多账号） ====
+# 多账号列表，支持两种格式：
+#   CSV:  user1:pass1,user2:pass2
+#   JSON: [{"username":"u1","password":"p1"},{"username":"u2","password":"p2"}]
+# 配置后每个账号对应一个独立 Lingma 实例（独立 workDir + 独立自动登录）
+LINGMA_ACCOUNTS=
+# 实例数量：默认等于 LINGMA_ACCOUNTS 数；显式指定时账号不足会循环复用并打 warning
+LINGMA_INSTANCE_COUNT=

.gitignore

@@ -3,7 +3,5 @@ __pycache__/
 *.pyc
 bin/
 runtime-bin/
-data/
-!data/
 data/*
 !data/.gitkeep

README.md

@@ -64,6 +64,12 @@ cp .env.example .env
 - `AUTO_LOGIN_MAX_RETRY`：自动登录重试次数
 - `LINGMA_USERNAME`：Lingma 登录用户名
 - `LINGMA_PASSWORD`：Lingma 登录密码
+- `METRICS_TOKEN`：`/metrics` 独立鉴权 token（留空则 `API_KEYS` 也可访问；两者都留空时 `/metrics` 为公开）
+- `LOG_LEVEL`：日志级别（默认 `INFO`，输出结构化 JSON，包含 `request_id`）
+- `GATEWAY_MAX_IN_FLIGHT`：`/v1/chat/completions` 并发上限（默认 4，`<=0` 表示不限流）
+- `GATEWAY_QUEUE_TIMEOUT_SEC`：排队等待超时秒数（默认 30，超过后直接 429 + `Retry-After`）
+- `LINGMA_ACCOUNTS`：多账号实例池，格式 `u1:p1,u2:p2` 或 JSON 数组；配置后每个账号起一个独立 Lingma 子进程
+- `LINGMA_INSTANCE_COUNT`：实例数（默认等于账号数；显式指定且不足时账号会循环复用）
 
 ### `.env` 最小必填示例
 
@@ -85,7 +91,18 @@ DEDICATED_DOMAIN_URL=
 
 - 本项目所有持久化数据都在 `./data`：
   - `data/bin/Lingma`：自动提取的 Lingma 二进制
-  - `data/.lingma/...`：Lingma 登录态、缓存、日志
+  - `data/.lingma/...`：Lingma 登录态、缓存、日志（单实例模式）
+  - `data/.lingma/pool/inst-<i>/...`：多实例模式下每个实例独立的登录态/缓存
+
+### 多实例池（方案乙：多账号）
+
+启用方式：在 `.env` 里配置 `LINGMA_ACCOUNTS=u1:p1,u2:p2`，重启容器即可。
+
+- 每个账号对应一个独立 Lingma 子进程，各自独立登录、独立 workDir。
+- 路由策略：同一 `user` 字段或同一 system prompt 的请求粘性路由到同一实例；其余按 least-in-flight 分配。
+- 一个实例挂了/断连不影响整体，`/healthz` 汇报 `pool_ready` 计数。
+- `/internal/stats.pool` 按实例粒度暴露状态，`/metrics` 增加 `gateway_pool_instance_in_flight{name}` / `gateway_pool_instance_ready{name}`。
+- 未配置 `LINGMA_ACCOUNTS` 时自动退化为单实例模式（沿用 `LINGMA_USERNAME/LINGMA_PASSWORD`），向下兼容。
 
 ## 3. Docker 运行
 
@@ -163,13 +180,16 @@ curl -s http://127.0.0.1:8317/internal/stats \
 ```
 
 ```bash
-curl -s http://127.0.0.1:8317/metrics
+curl -s http://127.0.0.1:8317/metrics \
+  -H "Authorization: Bearer ${METRICS_TOKEN:-sk-your-api-key}"
 ```
 
 说明：
 
 - `usage.prompt_tokens/completion_tokens` 为估算值（按字节近似换算）。
 - 非流式响应里会附带 `usage` 字段。
+- 流式响应可传 `stream_options: {"include_usage": true}` 让最后一帧返回 `usage`。
+- `/metrics` 默认需要 Bearer 鉴权：优先匹配 `METRICS_TOKEN`，否则接受 `API_KEYS` 里任意一个；两者都未配置时保持公开。
 
 ## 6. 容器内自动登录
 

app/auth.py

@@ -1,12 +1,11 @@
 from __future__ import annotations
 
+import hmac
+
 from fastapi import HTTPException, Request, status
 
 
-def require_bearer(request: Request, api_keys: list[str]) -> None:
+def _extract_bearer(request: Request) -> str:
-    if not api_keys:
-        return
-
     auth = request.headers.get("authorization", "")
     if not auth.startswith("Bearer "):
         raise HTTPException(
@@ -19,9 +18,22 @@ def require_bearer(request: Request, api_keys: list[str]) -> None:
                 }
             },
         )
+    return auth[len("Bearer ") :].strip()
 
-    token = auth[len("Bearer ") :].strip()
+
-    if token not in api_keys:
+def _match_any(token: str, candidates: list[str]) -> bool:
+    for c in candidates:
+        if c and hmac.compare_digest(token, c):
+            return True
+    return False
+
+
+def require_bearer(request: Request, api_keys: list[str]) -> None:
+    # Empty api_keys means auth is disabled (keeps the old behavior).
+    if not api_keys:
+        return
+    token = _extract_bearer(request)
+    if not _match_any(token, api_keys):
         raise HTTPException(
             status_code=status.HTTP_401_UNAUTHORIZED,
             detail={
@@ -32,3 +44,31 @@ def require_bearer(request: Request, api_keys: list[str]) -> None:
                 }
             },
         )
+
+
+def require_metrics_access(
+    request: Request, api_keys: list[str], metrics_token: str
+) -> None:
+    """Allow metrics if any of: METRICS_TOKEN matches, or any API_KEYS match.
+
+    If neither METRICS_TOKEN nor API_KEYS are configured, metrics is public
+    (backwards compatible default).
+    """
+    accepted: list[str] = []
+    if metrics_token:
+        accepted.append(metrics_token)
+    accepted.extend(api_keys)
+    if not accepted:
+        return
+    token = _extract_bearer(request)
+    if not _match_any(token, accepted):
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail={
+                "error": {
+                    "message": "Invalid metrics token",
+                    "type": "invalid_request_error",
+                    "code": "invalid_api_key",
+                }
+            },
+        )

app/concurrency.py

@@ -0,0 +1,121 @@
+from __future__ import annotations
+
+import asyncio
+
+from .logging_config import get_logger
+
+
+logger = get_logger("lingma_gateway.concurrency")
+
+
+class BackpressureRejected(Exception):
+    """Raised when a request cannot acquire an in-flight slot before timeout."""
+
+    def __init__(self, retry_after: float):
+        super().__init__(f"backpressure rejected, retry_after={retry_after:.1f}s")
+        self.retry_after = retry_after
+
+
+class InFlightTicket:
+    """Reference-counted handle for a single in-flight slot.
+
+    Release is idempotent so callers can defensively `release()` from multiple
+    cleanup paths (stream finally + outer exception handler) without worrying.
+    """
+
+    __slots__ = ("_parent", "_released")
+
+    def __init__(self, parent: "InFlightGuard | None"):
+        self._parent = parent
+        self._released = False
+
+    def release(self) -> None:
+        if self._released or self._parent is None:
+            self._released = True
+            return
+        self._released = True
+        self._parent._on_release()
+
+    async def __aenter__(self) -> "InFlightTicket":
+        return self
+
+    async def __aexit__(self, *_exc) -> None:
+        self.release()
+
+
+class InFlightGuard:
+    """Async semaphore wrapper with queue/reject accounting and Prometheus hooks.
+
+    - `max_in_flight <= 0` disables limiting (back-compat, unlimited).
+    - `queue_timeout_sec` bounds how long a request may wait for a slot. On
+      timeout, `try_acquire()` raises `BackpressureRejected`.
+    """
+
+    def __init__(self, max_in_flight: int, queue_timeout_sec: float):
+        self.max = max(0, int(max_in_flight))
+        self.queue_timeout = max(0.0, float(queue_timeout_sec))
+        self._sem: asyncio.Semaphore | None = (
+            asyncio.Semaphore(self.max) if self.max > 0 else None
+        )
+        self.in_flight = 0
+        self.queued = 0
+        self.accepted_total = 0
+        self.rejected_total = 0
+
+    async def try_acquire(self) -> InFlightTicket:
+        if self._sem is None:
+            self.in_flight += 1
+            self.accepted_total += 1
+            return InFlightTicket(parent=self)
+
+        self.queued += 1
+        try:
+            if self.queue_timeout <= 0:
+                await self._sem.acquire()
+            else:
+                try:
+                    await asyncio.wait_for(self._sem.acquire(), timeout=self.queue_timeout)
+                except (asyncio.TimeoutError, TimeoutError):
+                    self.rejected_total += 1
+                    logger.warning(
+                        "backpressure rejected: in_flight=%d queued=%d max=%d",
+                        self.in_flight,
+                        self.queued - 1,
+                        self.max,
+                    )
+                    raise BackpressureRejected(retry_after=self.queue_timeout)
+        finally:
+            self.queued -= 1
+
+        self.in_flight += 1
+        self.accepted_total += 1
+        return InFlightTicket(parent=self)
+
+    def _on_release(self) -> None:
+        self.in_flight -= 1
+        if self._sem is not None:
+            self._sem.release()
+
+    def stats(self) -> dict:
+        return {
+            "max_in_flight": self.max,
+            "in_flight": self.in_flight,
+            "queued": self.queued,
+            "accepted_total": self.accepted_total,
+            "rejected_total": self.rejected_total,
+            "queue_timeout_sec": self.queue_timeout,
+        }
+
+    def prometheus_lines(self) -> list[str]:
+        return [
+            "# TYPE gateway_in_flight gauge",
+            f"gateway_in_flight {self.in_flight}",
+            "# TYPE gateway_queued gauge",
+            f"gateway_queued {self.queued}",
+            "# TYPE gateway_max_in_flight gauge",
+            f"gateway_max_in_flight {self.max}",
+            "# TYPE gateway_accepted_total counter",
+            f"gateway_accepted_total {self.accepted_total}",
+            "# TYPE gateway_rejected_total counter",
+            f"gateway_rejected_total {self.rejected_total}",
+        ]

app/config.py

@@ -1,8 +1,14 @@
 from __future__ import annotations
 
+import json
 import os
-from dataclasses import dataclass
+from dataclasses import dataclass, field
-from pathlib import Path
+
+
+@dataclass
+class LingmaAccount:
+    username: str
+    password: str
 
 
 @dataclass
@@ -10,6 +16,10 @@ class Settings:
     host: str
     port: int
     api_keys: list[str]
+    metrics_token: str
+    log_level: str
+    gateway_max_in_flight: int
+    gateway_queue_timeout_sec: float
     lingma_bin: str
     lingma_work_dir: str
     lingma_socket_port: int
@@ -22,8 +32,57 @@ class Settings:
     auto_login_headless: bool
     auto_login_timeout: int
     auto_login_max_retry: int
-    lingma_username: str
+    accounts: list[LingmaAccount] = field(default_factory=list)
-    lingma_password: str
+    instance_count: int = 1
+
+
+def _bool_env(name: str, default: bool) -> bool:
+    raw = os.getenv(name)
+    if raw is None:
+        return default
+    return raw.strip().lower() in {"1", "true", "yes", "on"}
+
+
+def _parse_accounts(raw: str) -> list[LingmaAccount]:
+    """Parse LINGMA_ACCOUNTS.
+
+    Accepted formats:
+      - JSON array: `[{"username":"u1","password":"p1"},{"username":"u2","password":"p2"}]`
+      - CSV:        `u1:p1,u2:p2`
+      - Newlines:   `u1:p1\nu2:p2`
+
+    Whitespace around entries is trimmed. Empty entries are ignored.
+    Passwords containing ':' are supported (only the first ':' is the separator).
+    """
+    raw = (raw or "").strip()
+    if not raw:
+        return []
+
+    if raw.startswith("["):
+        try:
+            data = json.loads(raw)
+        except Exception:
+            return []
+        out: list[LingmaAccount] = []
+        if isinstance(data, list):
+            for item in data:
+                if isinstance(item, dict):
+                    u = str(item.get("username", "")).strip()
+                    p = str(item.get("password", "")).strip()
+                    if u and p:
+                        out.append(LingmaAccount(u, p))
+        return out
+
+    out: list[LingmaAccount] = []
+    for entry in raw.replace("\n", ",").split(","):
+        entry = entry.strip()
+        if not entry or ":" not in entry:
+            continue
+        u, p = entry.split(":", 1)
+        u, p = u.strip(), p.strip()
+        if u and p:
+            out.append(LingmaAccount(u, p))
+    return out
 
 
 def load_settings() -> Settings:
@@ -33,10 +92,31 @@ def load_settings() -> Settings:
         "LINGMA_WORK_DIR",
         "/app/data/.lingma/vscode/sharedClientCache",
     )
+
+    accounts = _parse_accounts(os.getenv("LINGMA_ACCOUNTS", ""))
+    if not accounts:
+        u = os.getenv("LINGMA_USERNAME", "").strip()
+        p = os.getenv("LINGMA_PASSWORD", "").strip()
+        if u and p:
+            accounts.append(LingmaAccount(u, p))
+
+    explicit_count = os.getenv("LINGMA_INSTANCE_COUNT", "").strip()
+    if explicit_count:
+        try:
+            instance_count = max(1, int(explicit_count))
+        except ValueError:
+            instance_count = len(accounts) or 1
+    else:
+        instance_count = max(1, len(accounts)) if accounts else 1
+
     return Settings(
         host=os.getenv("HOST", "0.0.0.0"),
         port=int(os.getenv("PORT", "8317")),
         api_keys=api_keys,
+        metrics_token=os.getenv("METRICS_TOKEN", "").strip(),
+        log_level=os.getenv("LOG_LEVEL", "INFO").strip() or "INFO",
+        gateway_max_in_flight=int(os.getenv("GATEWAY_MAX_IN_FLIGHT", "4")),
+        gateway_queue_timeout_sec=float(os.getenv("GATEWAY_QUEUE_TIMEOUT_SEC", "30")),
         lingma_bin=os.getenv("LINGMA_BIN", "/app/data/bin/Lingma"),
         lingma_work_dir=work_dir,
         lingma_socket_port=int(os.getenv("LINGMA_SOCKET_PORT", "36510")),
@@ -45,10 +125,10 @@ def load_settings() -> Settings:
         default_model=os.getenv("DEFAULT_MODEL", "org_auto"),
         default_ask_mode=os.getenv("DEFAULT_ASK_MODE", "chat"),
         dedicated_domain_url=os.getenv("DEDICATED_DOMAIN_URL", "").strip(),
-        auto_login_enabled=os.getenv("AUTO_LOGIN_ENABLED", "true").lower() in {"1", "true", "yes", "on"},
+        auto_login_enabled=_bool_env("AUTO_LOGIN_ENABLED", True),
-        auto_login_headless=os.getenv("AUTO_LOGIN_HEADLESS", "true").lower() in {"1", "true", "yes", "on"},
+        auto_login_headless=_bool_env("AUTO_LOGIN_HEADLESS", True),
         auto_login_timeout=int(os.getenv("AUTO_LOGIN_TIMEOUT", "180")),
         auto_login_max_retry=int(os.getenv("AUTO_LOGIN_MAX_RETRY", "2")),
-        lingma_username=os.getenv("LINGMA_USERNAME", "").strip(),
+        accounts=accounts,
-        lingma_password=os.getenv("LINGMA_PASSWORD", "").strip(),
+        instance_count=instance_count,
     )

app/lingma_client.py

@@ -9,10 +9,23 @@ import subprocess
 import time
 import uuid
 from pathlib import Path
-from typing import AsyncIterator
+from typing import AsyncIterator, Callable, Optional
 
 import websockets
 
+from .logging_config import get_logger
+
+
+logger = get_logger("lingma_gateway.client")
+
+
+# Some callers live on Python 3.10 where asyncio.TimeoutError is a distinct class,
+# while 3.11+ unifies it with the builtin TimeoutError. Always catch both.
+TIMEOUT_EXCEPTIONS: tuple[type[BaseException], ...] = (
+    asyncio.TimeoutError,
+    TimeoutError,
+)
+
 
 def _is_port_open(host: str, port: int, timeout_sec: float = 0.5) -> bool:
     try:
@@ -79,23 +92,37 @@ def _parse_lsp_frames(buf: bytes):
 
 
 class LspWsRpcClient:
-    def __init__(self, ws):
+    def __init__(self, ws, on_disconnect: Optional[Callable[[BaseException], None]] = None):
         self.ws = ws
         self._id = 1
         self._pending: dict[int, asyncio.Future] = {}
         self._send_lock = asyncio.Lock()
-        self._reader_task = None
+        self._reader_task: asyncio.Task | None = None
         self._rx_buffer = b""
         self._chat_streams: dict[str, dict] = {}
+        self._on_disconnect = on_disconnect
+        self._closed = False
 
     async def start(self):
         self._reader_task = asyncio.create_task(self._reader_loop())
 
     async def close(self):
+        self._closed = True
         if self._reader_task:
             self._reader_task.cancel()
             with contextlib.suppress(Exception):
                 await self._reader_task
+        # Abort any pending futures so callers fail fast instead of hanging.
+        for fut in self._pending.values():
+            if not fut.done():
+                fut.set_exception(ConnectionError("lingma client closed"))
+        self._pending.clear()
+        # Signal open streams to terminate.
+        for stream in self._chat_streams.values():
+            if not stream["done"].is_set():
+                stream["done"].set()
+                stream["chunks"].put_nowait(None)
+        self._chat_streams.clear()
 
     async def _send(self, payload: dict):
         async with self._send_lock:
@@ -127,10 +154,23 @@ class LspWsRpcClient:
         except asyncio.CancelledError:
             pass
         except Exception as exc:
+            if not self._closed:
+                logger.warning("lingma reader loop terminated: %s", exc)
+            # Propagate failure to anyone waiting on an RPC.
             for fut in self._pending.values():
                 if not fut.done():
                     fut.set_exception(exc)
             self._pending.clear()
+            # Also unblock any in-flight chat streams so consumers exit.
+            for stream in self._chat_streams.values():
+                if not stream["done"].is_set():
+                    stream["done"].set()
+                    stream["chunks"].put_nowait(None)
+            if not self._closed and self._on_disconnect is not None:
+                try:
+                    self._on_disconnect(exc)
+                except Exception:
+                    logger.exception("on_disconnect callback failed")
 
     async def _handle_server_message(self, msg: dict):
         method = msg.get("method")
@@ -168,7 +208,7 @@ class LspWsRpcClient:
         await self._send(payload)
         try:
             msg = await asyncio.wait_for(fut, timeout=timeout)
-        except TimeoutError:
+        except TIMEOUT_EXCEPTIONS:
             self._pending.pop(rid, None)
             raise TimeoutError(f"RPC timeout: {method}")
         if "error" in msg:
@@ -189,8 +229,20 @@ class LspWsRpcClient:
             "finish_at": None,
         }
 
+    def pop_stream(self, request_id: str) -> None:
+        stream = self._chat_streams.pop(request_id, None)
+        if stream is None:
+            return
+        # Drain queue so no stray future gets stuck if the consumer bailed early.
+        if not stream["done"].is_set():
+            stream["done"].set()
+            with contextlib.suppress(Exception):
+                stream["chunks"].put_nowait(None)
+
     async def consume_stream(self, request_id: str, timeout: float) -> AsyncIterator[str]:
-        stream = self._chat_streams[request_id]
+        stream = self._chat_streams.get(request_id)
+        if stream is None:
+            return
         start = time.monotonic()
         while True:
             remain = timeout - (time.monotonic() - start)
@@ -218,6 +270,19 @@ class LspWsRpcClient:
 
 
 class LingmaGatewayClient:
+    """Owns the Lingma subprocess and the LSP-over-WS connection.
+
+    Adds a small state machine + reconnect loop so the gateway can survive Lingma
+    restarts and slow cold starts without bringing down the FastAPI app.
+    """
+
+    STATE_STOPPED = "stopped"
+    STATE_STARTING = "starting"
+    STATE_READY = "ready"
+    STATE_RECONNECTING = "reconnecting"
+    STATE_FAILED = "failed"
+    STATE_CLOSED = "closed"
+
     def __init__(
         self,
         lingma_bin: str,
@@ -227,7 +292,11 @@ class LingmaGatewayClient:
         rpc_timeout: int,
         default_model: str,
         default_ask_mode: str,
+        *,
+        name: str = "lingma",
+        extra_info_paths: list[Path] | None = None,
     ):
+        self.name = name
         self.lingma_bin = Path(lingma_bin)
         self.work_dir = Path(work_dir)
         self.socket_port = socket_port
@@ -235,19 +304,115 @@ class LingmaGatewayClient:
         self.rpc_timeout = rpc_timeout
         self.default_model = default_model
         self.default_ask_mode = default_ask_mode
+        # Each pool instance should only look at its own workDir .info to avoid
+        # cross-instance clobbering via the shared ~/.lingma/.info path.
+        if extra_info_paths is None:
+            extra_info_paths = [Path.home() / ".lingma" / ".info"]
+        self._extra_info_paths = list(extra_info_paths)
         self._rpc: LspWsRpcClient | None = None
         self._ws = None
+        self._state = self.STATE_STOPPED
+        self._state_lock = asyncio.Lock()
+        self._ready_event = asyncio.Event()
+        self._reconnect_task: asyncio.Task | None = None
+        self._last_error: str = ""
+
+    # ------------------------------------------------------------------ state
+
+    @property
+    def state(self) -> str:
+        return self._state
+
+    @property
+    def last_error(self) -> str:
+        return self._last_error
+
+    def _set_state(self, state: str, err: str = "") -> None:
+        if state != self._state:
+            logger.info("lingma client state %s -> %s", self._state, state, extra={"ctx_new_state": state})
+        self._state = state
+        if err:
+            self._last_error = err
+        if state == self.STATE_READY:
+            self._ready_event.set()
+        else:
+            self._ready_event.clear()
+
+    # -------------------------------------------------------------- lifecycle
+
+    async def start(self) -> None:
+        """Initial start. Failure is non-fatal: ensure_ready() will retry later."""
+        try:
+            await self._connect(initial=True)
+        except Exception as exc:
+            self._set_state(self.STATE_FAILED, err=str(exc))
+            logger.exception("initial lingma start failed; will retry on demand")
+
+    async def close(self) -> None:
+        self._set_state(self.STATE_CLOSED)
+        if self._reconnect_task and not self._reconnect_task.done():
+            self._reconnect_task.cancel()
+            with contextlib.suppress(Exception):
+                await self._reconnect_task
+        if self._rpc:
+            await self._rpc.close()
+        if self._ws:
+            with contextlib.suppress(Exception):
+                await self._ws.close()
+
+    async def ensure_ready(self, timeout: float | None = None) -> None:
+        """Block until the RPC connection is usable, (re)connecting on demand."""
+        if self._state == self.STATE_CLOSED:
+            raise RuntimeError("lingma client is closed")
+        if self._state == self.STATE_READY and self._ws is not None:
+            return
+
+        async with self._state_lock:
+            if self._state == self.STATE_READY and self._ws is not None:
+                return
+            if self._state in (self.STATE_STOPPED, self.STATE_FAILED):
+                try:
+                    await self._connect(initial=False)
+                    return
+                except Exception as exc:
+                    self._set_state(self.STATE_FAILED, err=str(exc))
+                    raise
+
+        wait_timeout = timeout if timeout is not None else max(
+            30.0, float(self.startup_timeout) + 10.0
+        )
+        try:
+            await asyncio.wait_for(self._ready_event.wait(), timeout=wait_timeout)
+        except TIMEOUT_EXCEPTIONS:
+            raise RuntimeError(f"lingma not ready (state={self._state}, err={self._last_error})")
+
+    # --------------------------------------------------------------- connect
+
+    async def _connect(self, *, initial: bool) -> None:
+        self._set_state(self.STATE_STARTING)
 
-    async def start(self):
         if not self.lingma_bin.exists():
             raise FileNotFoundError(f"Lingma not found: {self.lingma_bin}")
-        if not _is_port_open("127.0.0.1", self.socket_port):
+
+        info_paths = [self.work_dir / ".info", *self._extra_info_paths]
+
+        # socket_port <= 0 is the pool-friendly "always spawn and read .info" mode.
+        port_prewarmed = self.socket_port > 0 and _is_port_open(
+            "127.0.0.1", self.socket_port
+        )
+        if not port_prewarmed:
             self.work_dir.mkdir(parents=True, exist_ok=True)
             # Remove stale info files from host-mounted workspace before boot.
-            for p in [self.work_dir / ".info", Path.home() / ".lingma" / ".info"]:
+            for p in info_paths:
                 with contextlib.suppress(Exception):
                     if p.exists():
                         p.unlink()
+            logger.info(
+                "[%s] spawning lingma: %s start --workDir %s",
+                self.name,
+                self.lingma_bin,
+                self.work_dir,
+            )
             subprocess.Popen(
                 [str(self.lingma_bin), "start", "--workDir", str(self.work_dir)],
                 cwd=str(self.lingma_bin.parent),
@@ -255,13 +420,9 @@ class LingmaGatewayClient:
                 stderr=subprocess.DEVNULL,
                 start_new_session=True,
             )
-            info, _, _ = _wait_info_any(
+            info, _, _ = _wait_info_any(info_paths, timeout_sec=self.startup_timeout)
-                [self.work_dir / ".info", Path.home() / ".lingma" / ".info"],
-                timeout_sec=self.startup_timeout,
-            )
             self.socket_port = info
 
-        # Wait for socket to actually become connectable.
         deadline = time.time() + self.startup_timeout
         while time.time() < deadline:
             if _is_port_open("127.0.0.1", self.socket_port, timeout_sec=0.3):
@@ -270,9 +431,19 @@ class LingmaGatewayClient:
         else:
             raise TimeoutError(f"Lingma socket not open on port {self.socket_port}")
 
+        # Close any stale ws/rpc before creating fresh ones (reconnect path).
+        if self._rpc is not None:
+            with contextlib.suppress(Exception):
+                await self._rpc.close()
+            self._rpc = None
+        if self._ws is not None:
+            with contextlib.suppress(Exception):
+                await self._ws.close()
+            self._ws = None
+
         ws_url = f"ws://127.0.0.1:{self.socket_port}"
         self._ws = await websockets.connect(ws_url, max_size=10 * 1024 * 1024)
-        self._rpc = LspWsRpcClient(self._ws)
+        self._rpc = LspWsRpcClient(self._ws, on_disconnect=self._on_disconnect)
         await self._rpc.start()
         await self._rpc.request(
             "initialize",
@@ -286,32 +457,73 @@ class LingmaGatewayClient:
             timeout=self.rpc_timeout,
         )
         await self._rpc.notify("initialized", {})
+        self._set_state(self.STATE_READY)
+        logger.info(
+            "[%s] lingma ready on port %d (initial=%s)",
+            self.name,
+            self.socket_port,
+            initial,
+        )
 
-    async def close(self):
+    def _on_disconnect(self, exc: BaseException) -> None:
-        if self._rpc:
+        if self._state == self.STATE_CLOSED:
-            await self._rpc.close()
+            return
-        if self._ws:
+        self._set_state(self.STATE_RECONNECTING, err=str(exc))
-            await self._ws.close()
+        if self._reconnect_task and not self._reconnect_task.done():
+            return
+        try:
+            loop = asyncio.get_running_loop()
+        except RuntimeError:
+            return
+        self._reconnect_task = loop.create_task(self._reconnect_loop())
+
+    async def _reconnect_loop(self) -> None:
+        backoff = 1.0
+        max_backoff = 30.0
+        max_attempts = 20
+        for attempt in range(1, max_attempts + 1):
+            if self._state == self.STATE_CLOSED:
+                return
+            await asyncio.sleep(backoff)
+            try:
+                async with self._state_lock:
+                    await self._connect(initial=False)
+                logger.info("lingma reconnected after %d attempt(s)", attempt)
+                return
+            except Exception as exc:
+                self._last_error = str(exc)
+                logger.warning("lingma reconnect attempt %d failed: %s", attempt, exc)
+                backoff = min(backoff * 2, max_backoff)
+        self._set_state(self.STATE_FAILED, err="reconnect exhausted")
+
+    # ------------------------------------------------------------------ RPC
 
     @property
     def rpc(self) -> LspWsRpcClient:
         if self._rpc is None:
-            raise RuntimeError("Lingma RPC not initialized")
+            raise RuntimeError(f"Lingma RPC not initialized (state={self._state})")
         return self._rpc
 
     async def auth_status(self):
+        await self.ensure_ready()
         return await self.rpc.request("auth/status", {}, timeout=self.rpc_timeout)
 
     async def query_models(self):
+        await self.ensure_ready()
         return await self.rpc.request("config/queryModels", {}, timeout=self.rpc_timeout)
 
     async def get_endpoint(self):
+        await self.ensure_ready()
         return await self.rpc.request("config/getEndpoint", {}, timeout=self.rpc_timeout)
 
     async def update_endpoint(self, endpoint: str):
-        return await self.rpc.request("config/updateEndpoint", {"endpoint": endpoint}, timeout=self.rpc_timeout)
+        await self.ensure_ready()
+        return await self.rpc.request(
+            "config/updateEndpoint", {"endpoint": endpoint}, timeout=self.rpc_timeout
+        )
 
     async def generate_login_url(self):
+        await self.ensure_ready()
         result = await self.rpc.request("login/generateUrl", {}, timeout=self.rpc_timeout)
         if isinstance(result, str):
             return result, {"raw": result}
@@ -322,6 +534,8 @@ class LingmaGatewayClient:
             return "", result
         return "", {"raw": result}
 
+    # ------------------------------------------------------------------ chat
+
     def _build_payload(self, prompt: str, model_key: str, ask_mode: str, session_id: str, request_id: str):
         session_type = "developer" if ask_mode == "agent" else "chat"
         return {
@@ -355,17 +569,24 @@ class LingmaGatewayClient:
         }
 
     async def chat_complete(self, prompt: str, model_key: str, ask_mode: str) -> dict:
+        await self.ensure_ready()
         request_id = str(uuid.uuid4())
         session_id = str(uuid.uuid4())
         payload = self._build_payload(prompt, model_key, ask_mode, session_id, request_id)
         self.rpc.create_stream(request_id)
         try:
-            await self.rpc.request("chat/ask", payload, timeout=self.rpc_timeout)
+            try:
-        except (TimeoutError, asyncio.TimeoutError):
+                await self.rpc.request("chat/ask", payload, timeout=self.rpc_timeout)
-            pass
+            except TIMEOUT_EXCEPTIONS:
-        async for _ in self.rpc.consume_stream(request_id, timeout=max(20.0, self.rpc_timeout + 20.0)):
+                # chat/ask often returns nothing until chat/finish arrives; tolerate.
-            pass
+                pass
-        result = self.rpc.get_stream_result(request_id)
+            async for _ in self.rpc.consume_stream(
+                request_id, timeout=max(20.0, self.rpc_timeout + 20.0)
+            ):
+                pass
+            result = self.rpc.get_stream_result(request_id)
+        finally:
+            self.rpc.pop_stream(request_id)
         finish = result.get("finish") or {}
         result["requestId"] = request_id
         result["sessionId"] = finish.get("sessionId") or session_id
@@ -374,13 +595,20 @@ class LingmaGatewayClient:
         return result
 
     async def chat_stream(self, prompt: str, model_key: str, ask_mode: str) -> AsyncIterator[str]:
+        await self.ensure_ready()
         request_id = str(uuid.uuid4())
         session_id = str(uuid.uuid4())
         payload = self._build_payload(prompt, model_key, ask_mode, session_id, request_id)
         self.rpc.create_stream(request_id)
         try:
-            await self.rpc.request("chat/ask", payload, timeout=self.rpc_timeout)
+            try:
-        except (TimeoutError, asyncio.TimeoutError):
+                await self.rpc.request("chat/ask", payload, timeout=self.rpc_timeout)
-            pass
+            except TIMEOUT_EXCEPTIONS:
-        async for chunk in self.rpc.consume_stream(request_id, timeout=max(20.0, self.rpc_timeout + 40.0)):
+                pass
-            yield chunk
+            async for chunk in self.rpc.consume_stream(
+                request_id, timeout=max(20.0, self.rpc_timeout + 40.0)
+            ):
+                yield chunk
+        finally:
+            # Runs on normal completion, exception, or consumer GeneratorExit (client disconnect).
+            self.rpc.pop_stream(request_id)

app/lingma_pool.py

@@ -0,0 +1,275 @@
+from __future__ import annotations
+
+import asyncio
+from dataclasses import dataclass
+from pathlib import Path
+
+from .auto_login import AutoLoginManager
+from .config import LingmaAccount
+from .lingma_client import LingmaGatewayClient
+from .logging_config import get_logger
+
+
+logger = get_logger("lingma_gateway.pool")
+
+
+@dataclass
+class InstanceConfig:
+    index: int
+    name: str
+    work_dir: str
+    socket_port: int
+    account: LingmaAccount
+
+
+class PoolInstance:
+    """A single Lingma process + its auto_login + in-flight counter."""
+
+    __slots__ = ("cfg", "client", "auto_login", "in_flight")
+
+    def __init__(
+        self,
+        cfg: InstanceConfig,
+        client: LingmaGatewayClient,
+        auto_login: AutoLoginManager,
+    ):
+        self.cfg = cfg
+        self.client = client
+        self.auto_login = auto_login
+        self.in_flight = 0
+
+    @property
+    def name(self) -> str:
+        return self.cfg.name
+
+    @property
+    def healthy(self) -> bool:
+        return self.client.state == LingmaGatewayClient.STATE_READY
+
+
+class LingmaPool:
+    """N-Lingma process pool with least-in-flight + affinity routing.
+
+    For N=1 this degenerates into the original single-client setup, preserving
+    backwards compatibility with `LINGMA_USERNAME/LINGMA_PASSWORD`-only deploys.
+    """
+
+    def __init__(self, instances: list[PoolInstance]):
+        if not instances:
+            raise RuntimeError("LingmaPool requires at least 1 instance")
+        self._instances: list[PoolInstance] = instances
+        self._rr_counter = 0
+
+    @classmethod
+    def build(
+        cls,
+        *,
+        lingma_bin: str,
+        base_work_dir: str,
+        legacy_socket_port: int,
+        startup_timeout: int,
+        rpc_timeout: int,
+        default_model: str,
+        default_ask_mode: str,
+        accounts: list[LingmaAccount],
+        instance_count: int,
+        auto_login_headless: bool,
+        auto_login_timeout: int,
+        auto_login_max_retry: int,
+        verify_timeout_sec: int | None = None,
+    ) -> "LingmaPool":
+        """Materialize N PoolInstances.
+
+        Single-instance (N=1) uses the legacy workDir and LINGMA_SOCKET_PORT so
+        existing deployments keep their state after upgrade. N>1 derives per-instance
+        workDirs under `<base_work_dir>/../pool/inst-<i>` and uses dynamic ports.
+        """
+
+        if instance_count < 1:
+            instance_count = 1
+
+        resolved_accounts: list[LingmaAccount] = []
+        for i in range(instance_count):
+            if accounts:
+                resolved_accounts.append(accounts[i % len(accounts)])
+            else:
+                resolved_accounts.append(LingmaAccount(username="", password=""))
+
+        if instance_count > len(accounts) and accounts:
+            logger.warning(
+                "instance_count=%d exceeds unique accounts=%d; accounts will be reused",
+                instance_count,
+                len(accounts),
+            )
+
+        base_dir = Path(base_work_dir)
+        # Put per-instance workDirs under `<data>/.lingma/pool/inst-<i>`.
+        # Walk up past the vscode/sharedClientCache layout if present.
+        pool_root = base_dir
+        for _ in range(3):
+            if pool_root.name == ".lingma":
+                break
+            if pool_root.parent == pool_root:
+                break
+            pool_root = pool_root.parent
+        pool_root = pool_root / "pool"
+
+        instances: list[PoolInstance] = []
+        for i, acc in enumerate(resolved_accounts):
+            if instance_count == 1:
+                work_dir = str(base_dir)
+                socket_port = legacy_socket_port
+                extra_info: list[Path] | None = None
+            else:
+                work_dir = str(pool_root / f"inst-{i}")
+                socket_port = 0
+                # In pool mode each instance reads only its own workDir .info to
+                # avoid the shared ~/.lingma/.info race between instances.
+                extra_info = []
+
+            name = f"inst-{i}"
+
+            client = LingmaGatewayClient(
+                lingma_bin=lingma_bin,
+                work_dir=work_dir,
+                socket_port=socket_port,
+                startup_timeout=startup_timeout,
+                rpc_timeout=rpc_timeout,
+                default_model=default_model,
+                default_ask_mode=default_ask_mode,
+                name=name,
+                extra_info_paths=extra_info,
+            )
+
+            def _make_verify(_client: LingmaGatewayClient):
+                async def _verify() -> bool:
+                    try:
+                        st = await _client.auth_status()
+                    except Exception:
+                        return False
+                    return bool(st and st.get("id"))
+
+                return _verify
+
+            auto_login = AutoLoginManager(
+                username=acc.username,
+                password=acc.password,
+                headless=auto_login_headless,
+                timeout_sec=auto_login_timeout,
+                max_retry=auto_login_max_retry,
+                verify_logged_in=_make_verify(client),
+                verify_timeout_sec=verify_timeout_sec
+                or max(30, min(180, auto_login_timeout)),
+                debug_dir=f"/tmp/lingma-auto-login/{name}",
+            )
+
+            cfg = InstanceConfig(
+                index=i,
+                name=name,
+                work_dir=work_dir,
+                socket_port=socket_port,
+                account=acc,
+            )
+            instances.append(PoolInstance(cfg, client, auto_login))
+
+        return cls(instances)
+
+    # -------------------------------------------------------------- lifecycle
+
+    async def start(self) -> None:
+        """Start all instances sequentially.
+
+        Sequential startup avoids racing on the shared ~/.lingma/.info file (for
+        pool-mode we skip it anyway, but Lingma may still write there internally)
+        and keeps docker logs readable. Failures are non-fatal; per-instance
+        reconnect loops will take over.
+        """
+        for inst in self._instances:
+            logger.info(
+                "pool starting %s (workDir=%s port=%d account=%s)",
+                inst.name,
+                inst.cfg.work_dir,
+                inst.cfg.socket_port,
+                inst.cfg.account.username or "<empty>",
+            )
+            try:
+                await inst.client.start()
+            except Exception as exc:
+                logger.warning("pool start %s failed: %s", inst.name, exc)
+
+    async def close(self) -> None:
+        tasks = [asyncio.create_task(inst.client.close()) for inst in self._instances]
+        for t in tasks:
+            try:
+                await t
+            except Exception:
+                pass
+
+    # -------------------------------------------------------------- inspection
+
+    @property
+    def instances(self) -> list[PoolInstance]:
+        return list(self._instances)
+
+    def size(self) -> int:
+        return len(self._instances)
+
+    def stats(self) -> list[dict]:
+        return [
+            {
+                "index": inst.cfg.index,
+                "name": inst.name,
+                "state": inst.client.state,
+                "last_error": inst.client.last_error,
+                "in_flight": inst.in_flight,
+                "work_dir": inst.cfg.work_dir,
+                "socket_port": inst.cfg.socket_port,
+                "username": inst.cfg.account.username,
+                "auto_login": inst.auto_login.status(),
+            }
+            for inst in self._instances
+        ]
+
+    def prometheus_lines(self) -> list[str]:
+        lines: list[str] = [
+            "# TYPE gateway_pool_instance_in_flight gauge",
+            "# TYPE gateway_pool_instance_ready gauge",
+        ]
+        for inst in self._instances:
+            lbl = f'name="{inst.name}",idx="{inst.cfg.index}"'
+            lines.append(f"gateway_pool_instance_in_flight{{{lbl}}} {inst.in_flight}")
+            lines.append(
+                f"gateway_pool_instance_ready{{{lbl}}} {1 if inst.healthy else 0}"
+            )
+        return lines
+
+    # -------------------------------------------------------------- selection
+
+    def pick(self, affinity_key: str | None = None) -> PoolInstance:
+        """Pick an instance for a request.
+
+        Preference order:
+          1. Sticky affinity if `affinity_key` is provided and the bucket is healthy.
+          2. Least-in-flight among healthy instances.
+          3. Round-robin fallback when nothing is healthy (lazy-start will kick in).
+        """
+        if not self._instances:
+            raise RuntimeError("lingma pool is empty")
+
+        healthy = [i for i in self._instances if i.healthy]
+
+        if affinity_key:
+            bucket = self._instances[
+                abs(hash(affinity_key)) % len(self._instances)
+            ]
+            if bucket.healthy:
+                return bucket
+
+        if healthy:
+            return min(healthy, key=lambda x: (x.in_flight, x.cfg.index))
+
+        # Nothing healthy. Fall back to round-robin so every instance gets a
+        # chance to reconnect via ensure_ready().
+        idx = self._rr_counter % len(self._instances)
+        self._rr_counter += 1
+        return self._instances[idx]

app/logging_config.py

@@ -0,0 +1,56 @@
+from __future__ import annotations
+
+import contextvars
+import json
+import logging
+import sys
+import time
+
+
+request_id_var: contextvars.ContextVar[str] = contextvars.ContextVar(
+    "request_id", default="-"
+)
+
+
+class _JsonFormatter(logging.Formatter):
+    def format(self, record: logging.LogRecord) -> str:
+        ts = time.strftime("%Y-%m-%dT%H:%M:%S", time.gmtime(record.created))
+        data: dict = {
+            "ts": f"{ts}.{int(record.msecs):03d}Z",
+            "level": record.levelname,
+            "logger": record.name,
+            "msg": record.getMessage(),
+            "request_id": request_id_var.get(),
+        }
+        if record.exc_info:
+            data["exc"] = self.formatException(record.exc_info)
+        for key, val in record.__dict__.items():
+            if key.startswith("ctx_"):
+                data[key[4:]] = val
+        return json.dumps(data, ensure_ascii=False)
+
+
+def configure_logging(level: str = "INFO") -> None:
+    level = (level or "INFO").upper()
+    handler = logging.StreamHandler(sys.stdout)
+    handler.setFormatter(_JsonFormatter())
+
+    root = logging.getLogger()
+    root.handlers.clear()
+    root.addHandler(handler)
+    root.setLevel(level)
+
+    # Align uvicorn access/error logs with our JSON formatter.
+    for name in ("uvicorn", "uvicorn.error", "uvicorn.access", "fastapi"):
+        lg = logging.getLogger(name)
+        lg.handlers.clear()
+        lg.propagate = True
+        lg.setLevel(level)
+
+    # Trim noisy libraries.
+    logging.getLogger("websockets").setLevel("WARNING")
+    logging.getLogger("websockets.client").setLevel("WARNING")
+
+
+def get_logger(name: str = "lingma_gateway") -> logging.Logger:
+    return logging.getLogger(name)

app/main.py

@@ -1,16 +1,20 @@
 from __future__ import annotations
 
+import asyncio
+import hashlib
 import json
 import time
 import uuid
+from contextlib import asynccontextmanager
 
 from fastapi import Depends, FastAPI, HTTPException, Request
 from fastapi.responses import JSONResponse, StreamingResponse
 
-from .auto_login import AutoLoginManager
+from .auth import require_bearer, require_metrics_access
-from .auth import require_bearer
+from .concurrency import BackpressureRejected, InFlightGuard
 from .config import Settings, load_settings
-from .lingma_client import LingmaGatewayClient
+from .lingma_pool import LingmaPool, PoolInstance
+from .logging_config import configure_logging, get_logger, request_id_var
 from .model_map import build_model_name_map, flatten_model_keys, resolve_model
 from .openai_schema import (
     ChatCompletionChoice,
@@ -18,107 +22,219 @@ from .openai_schema import (
     ChatCompletionsRequest,
     ModelData,
     ModelsResponse,
+    flatten_content,
 )
 from .stats import StatsCollector, estimate_tokens
 
 
-app = FastAPI(title="Lingma OpenAI Gateway", version="0.1.0")
 settings: Settings = load_settings()
-lingma: LingmaGatewayClient | None = None
+configure_logging(settings.log_level)
-auto_login: AutoLoginManager | None = None
+logger = get_logger("lingma_gateway")
+
+pool: LingmaPool | None = None
 stats_collector = StatsCollector()
+chat_guard = InFlightGuard(
+    max_in_flight=settings.gateway_max_in_flight,
+    queue_timeout_sec=settings.gateway_queue_timeout_sec,
+)
+
+
+def _require_pool() -> LingmaPool:
+    if pool is None:
+        raise HTTPException(
+            status_code=503,
+            detail={"error": {"message": "pool not initialized", "type": "service_unavailable"}},
+        )
+    return pool
+
+
+@asynccontextmanager
+async def lifespan(_app: FastAPI):
+    global pool
+    pool = LingmaPool.build(
+        lingma_bin=settings.lingma_bin,
+        base_work_dir=settings.lingma_work_dir,
+        legacy_socket_port=settings.lingma_socket_port,
+        startup_timeout=settings.lingma_startup_timeout,
+        rpc_timeout=settings.lingma_rpc_timeout,
+        default_model=settings.default_model,
+        default_ask_mode=settings.default_ask_mode,
+        accounts=settings.accounts,
+        instance_count=settings.instance_count,
+        auto_login_headless=settings.auto_login_headless,
+        auto_login_timeout=settings.auto_login_timeout,
+        auto_login_max_retry=settings.auto_login_max_retry,
+    )
+    logger.info(
+        "gateway startup: pool_size=%d max_in_flight=%d",
+        pool.size(),
+        settings.gateway_max_in_flight,
+    )
+    await pool.start()
+    try:
+        yield
+    finally:
+        if pool is not None:
+            await pool.close()
+
+
+app = FastAPI(title="Lingma OpenAI Gateway", version="0.3.0", lifespan=lifespan)
+
+
+@app.middleware("http")
+async def request_id_middleware(request: Request, call_next):
+    req_id = request.headers.get("x-request-id") or f"req-{uuid.uuid4().hex[:12]}"
+    token = request_id_var.set(req_id)
+    start = time.monotonic()
+    status_code = 500
+    try:
+        response = await call_next(request)
+        status_code = response.status_code
+        response.headers["x-request-id"] = req_id
+        return response
+    finally:
+        elapsed_ms = int((time.monotonic() - start) * 1000)
+        logger.info(
+            "http %s %s -> %s in %dms",
+            request.method,
+            request.url.path,
+            status_code,
+            elapsed_ms,
+            extra={
+                "ctx_method": request.method,
+                "ctx_path": request.url.path,
+                "ctx_status": status_code,
+                "ctx_elapsed_ms": elapsed_ms,
+            },
+        )
+        request_id_var.reset(token)
 
 
 def auth_guard(request: Request):
     require_bearer(request, settings.api_keys)
 
 
-async def _is_logged_in() -> bool:
+def metrics_auth_guard(request: Request):
-    assert lingma is not None
+    require_metrics_access(request, settings.api_keys, settings.metrics_token)
-    st = await lingma.auth_status()
-    return bool(st and st.get("id"))
-
-
-@app.on_event("startup")
-async def on_startup():
-    global lingma, auto_login
-    lingma = LingmaGatewayClient(
-        lingma_bin=settings.lingma_bin,
-        work_dir=settings.lingma_work_dir,
-        socket_port=settings.lingma_socket_port,
-        startup_timeout=settings.lingma_startup_timeout,
-        rpc_timeout=settings.lingma_rpc_timeout,
-        default_model=settings.default_model,
-        default_ask_mode=settings.default_ask_mode,
-    )
-    await lingma.start()
-    auto_login = AutoLoginManager(
-        username=settings.lingma_username,
-        password=settings.lingma_password,
-        headless=settings.auto_login_headless,
-        timeout_sec=settings.auto_login_timeout,
-        max_retry=settings.auto_login_max_retry,
-        verify_logged_in=_is_logged_in,
-        verify_timeout_sec=max(30, min(180, settings.auto_login_timeout)),
-    )
-
-
-@app.on_event("shutdown")
-async def on_shutdown():
-    if lingma:
-        await lingma.close()
 
 
 @app.get("/healthz")
 async def healthz():
-    return {"ok": True, "time": int(time.time())}
+    if pool is None:
+        return {"ok": False, "time": int(time.time()), "reason": "pool uninitialized"}
+    insts = pool.stats()
+    ready = sum(1 for i in insts if i["state"] == "ready")
+    return {
+        "ok": ready > 0,
+        "time": int(time.time()),
+        "pool_size": len(insts),
+        "pool_ready": ready,
+        "instances": [
+            {"name": i["name"], "state": i["state"], "in_flight": i["in_flight"]}
+            for i in insts
+        ],
+    }
 
 
-async def _ensure_logged_in_or_auto_login() -> dict:
+async def _ensure_instance_logged_in(inst: PoolInstance) -> dict:
-    assert lingma is not None
+    client = inst.client
-    status = await lingma.auth_status()
+    auto_login = inst.auto_login
+
+    try:
+        status = await client.auth_status()
+    except Exception as exc:
+        logger.warning("[%s] auth_status failed before chat: %s", inst.name, exc)
+        raise HTTPException(
+            status_code=503,
+            detail={"error": {"message": "Lingma is not ready", "type": "service_unavailable"}},
+        )
+
     if status and status.get("id"):
         return status
 
     if not settings.auto_login_enabled:
-        raise HTTPException(status_code=401, detail={"error": {"message": "Lingma not logged in"}})
-
-    if settings.dedicated_domain_url:
-        current = await lingma.get_endpoint()
-        current_ep = (current or {}).get("endpoint", "") if isinstance(current, dict) else ""
-        if current_ep != settings.dedicated_domain_url:
-            await lingma.update_endpoint(settings.dedicated_domain_url)
-
-    login_url, login_raw = await lingma.generate_login_url()
-    if not login_url:
         raise HTTPException(
-            status_code=500,
+            status_code=401,
-            detail={"error": {"message": f"generate login url failed: {login_raw}"}},
+            detail={"error": {"message": "Lingma not logged in", "type": "invalid_request_error"}},
+        )
+
+    if settings.dedicated_domain_url:
+        try:
+            current = await client.get_endpoint()
+            current_ep = (current or {}).get("endpoint", "") if isinstance(current, dict) else ""
+            if current_ep != settings.dedicated_domain_url:
+                await client.update_endpoint(settings.dedicated_domain_url)
+        except Exception as exc:
+            logger.warning("[%s] switch dedicated endpoint failed: %s", inst.name, exc)
+
+    try:
+        login_url, _login_raw = await client.generate_login_url()
+    except Exception as exc:
+        logger.warning("[%s] generate_login_url failed: %s", inst.name, exc)
+        raise HTTPException(
+            status_code=502,
+            detail={"error": {"message": "generate login url failed", "type": "upstream_error"}},
+        )
+
+    if not login_url:
+        raise HTTPException(
+            status_code=502,
+            detail={"error": {"message": "generate login url failed", "type": "upstream_error"}},
         )
 
-    assert auto_login is not None
     await auto_login.ensure_started(login_url)
     try:
         await auto_login.wait_done(timeout=settings.auto_login_timeout + 20)
-    except Exception:
+    except Exception as exc:
-        pass
+        logger.warning("[%s] auto_login wait_done failed: %s", inst.name, exc)
+
+    try:
+        status = await client.auth_status()
+    except Exception as exc:
+        logger.warning("[%s] post-login auth_status failed: %s", inst.name, exc)
+        status = None
 
-    status = await lingma.auth_status()
     if status and status.get("id"):
         return status
 
+    logger.warning(
+        "[%s] auto login did not result in a logged-in session: %s",
+        inst.name,
+        auto_login.status(),
+    )
     raise HTTPException(
         status_code=401,
-        detail={"error": {"message": "Lingma auto login failed", "auto_login": auto_login.status()}},
+        detail={"error": {"message": "Lingma auto login failed", "type": "invalid_request_error"}},
     )
 
 
+def _affinity_key_for(req: ChatCompletionsRequest) -> str | None:
+    """Derive a stable affinity key so that follow-ups go to the same instance.
+
+    Priority: explicit `user` > hash of the first/system message.
+    """
+    if req.user:
+        return req.user.strip() or None
+    for m in req.messages:
+        if m.role == "system":
+            text = flatten_content(m.content)
+            if text:
+                return "sys:" + hashlib.sha1(text.encode("utf-8")).hexdigest()[:16]
+    if req.messages:
+        first = req.messages[0]
+        text = flatten_content(first.content)
+        if text:
+            return "first:" + hashlib.sha1(text.encode("utf-8")).hexdigest()[:16]
+    return None
+
+
 @app.get("/v1/models", dependencies=[Depends(auth_guard)])
 async def v1_models():
-    assert lingma is not None
+    p = _require_pool()
-    await _ensure_logged_in_or_auto_login()
+    inst = p.pick()
+    await _ensure_instance_logged_in(inst)
     await stats_collector.inc_models()
-    models = await lingma.query_models()
+    models = await inst.client.query_models()
     keys = flatten_model_keys(models)
     name_map = build_model_name_map(models)
     resp = ModelsResponse(data=[ModelData(id=k, name=name_map.get(k)) for k in keys])
@@ -126,20 +242,32 @@ async def v1_models():
 
 
 def _messages_to_prompt(messages: list[dict]) -> str:
-    parts = []
+    parts: list[str] = []
     for m in messages:
         role = m.get("role", "user")
-        content = m.get("content", "")
+        text = flatten_content(m.get("content"))
-        parts.append(f"[{role}] {content}")
+        if not text and m.get("tool_calls"):
+            text = f"[tool_calls] {json.dumps(m['tool_calls'], ensure_ascii=False)}"
+        if not text:
+            continue
+        parts.append(f"[{role}] {text}")
     return "\n".join(parts).strip()
 
 
+def _include_usage(stream_options: dict | None) -> bool:
+    if not isinstance(stream_options, dict):
+        return False
+    return bool(stream_options.get("include_usage"))
+
+
 @app.post("/v1/chat/completions", dependencies=[Depends(auth_guard)])
 async def v1_chat_completions(req: ChatCompletionsRequest):
-    assert lingma is not None
+    p = _require_pool()
-    await _ensure_logged_in_or_auto_login()
+    affinity = _affinity_key_for(req)
+    inst = p.pick(affinity_key=affinity)
+    await _ensure_instance_logged_in(inst)
 
-    models = await lingma.query_models()
+    models = await inst.client.query_models()
     available = flatten_model_keys(models)
     name_map = build_model_name_map(models)
     model = resolve_model(req.model, available, settings.default_model, name_map)
@@ -150,142 +278,270 @@ async def v1_chat_completions(req: ChatCompletionsRequest):
 
     prompt = _messages_to_prompt([m.model_dump() for m in req.messages])
     if not prompt:
-        raise HTTPException(status_code=400, detail={"error": {"message": "messages is empty"}})
+        raise HTTPException(
+            status_code=400,
+            detail={"error": {"message": "messages is empty", "type": "invalid_request_error"}},
+        )
     prompt_tokens = estimate_tokens(prompt)
+    include_usage = _include_usage(req.stream_options)
 
-    if req.stream:
+    # Backpressure: acquire a slot *after* the cheap validation but before any
-        created = int(time.time())
+    # upstream call. This ensures we reject quickly when saturated.
-        completion_id = f"chatcmpl-{uuid.uuid4().hex}"
+    try:
-        completion_tokens_holder = {"n": 0}
+        ticket = await chat_guard.try_acquire()
+    except BackpressureRejected as exc:
+        retry_after = max(1, int(exc.retry_after))
+        logger.warning("chat rejected by backpressure, retry_after=%ds", retry_after)
+        raise HTTPException(
+            status_code=429,
+            detail={
+                "error": {
+                    "message": "Too many in-flight requests, please retry later",
+                    "type": "rate_limit_error",
+                    "code": "backpressure",
+                }
+            },
+            headers={"Retry-After": str(retry_after)},
+        )
 
-        async def event_stream():
+    inst.in_flight += 1
-            success = False
+    logger.info(
-            try:
+        "chat.start inst=%s model=%s ask_mode=%s stream=%s prompt_tokens~%d",
-                async for chunk in lingma.chat_stream(prompt, model, ask_mode):
+        inst.name,
-                    completion_tokens_holder["n"] += estimate_tokens(chunk)
+        model,
-                    payload = {
+        ask_mode,
+        req.stream,
+        prompt_tokens,
+        extra={
+            "ctx_instance": inst.name,
+            "ctx_model": model,
+            "ctx_ask_mode": ask_mode,
+            "ctx_stream": req.stream,
+            "ctx_prompt_tokens": prompt_tokens,
+            "ctx_in_flight": chat_guard.in_flight,
+            "ctx_affinity": affinity,
+        },
+    )
+
+    ticket_transferred = False
+
+    try:
+        if req.stream:
+            created = int(time.time())
+            completion_id = f"chatcmpl-{uuid.uuid4().hex}"
+            completion_tokens_holder = {"n": 0}
+
+            async def event_stream(_ticket=ticket, _inst=inst):
+                success = False
+                try:
+                    async for chunk in _inst.client.chat_stream(prompt, model, ask_mode):
+                        completion_tokens_holder["n"] += estimate_tokens(chunk)
+                        payload = {
+                            "id": completion_id,
+                            "object": "chat.completion.chunk",
+                            "created": created,
+                            "model": model,
+                            "choices": [
+                                {
+                                    "index": 0,
+                                    "delta": {"content": chunk},
+                                    "finish_reason": None,
+                                }
+                            ],
+                        }
+                        yield f"data: {json.dumps(payload, ensure_ascii=False)}\n\n"
+
+                    done_payload = {
                         "id": completion_id,
                         "object": "chat.completion.chunk",
                         "created": created,
                         "model": model,
-                        "choices": [
+                        "choices": [{"index": 0, "delta": {}, "finish_reason": "stop"}],
-                            {
-                                "index": 0,
-                                "delta": {"content": chunk},
-                                "finish_reason": None,
-                            }
-                        ],
                     }
-                    yield f"data: {json.dumps(payload, ensure_ascii=False)}\n\n"
+                    yield f"data: {json.dumps(done_payload, ensure_ascii=False)}\n\n"
 
-                done_payload = {
+                    if include_usage:
-                    "id": completion_id,
+                        usage_payload = {
-                    "object": "chat.completion.chunk",
+                            "id": completion_id,
-                    "created": created,
+                            "object": "chat.completion.chunk",
-                    "model": model,
+                            "created": created,
-                    "choices": [{"index": 0, "delta": {}, "finish_reason": "stop"}],
+                            "model": model,
-                }
+                            "choices": [],
-                yield f"data: {json.dumps(done_payload, ensure_ascii=False)}\n\n"
+                            "usage": {
-                yield "data: [DONE]\n\n"
+                                "prompt_tokens": prompt_tokens,
-                success = True
+                                "completion_tokens": completion_tokens_holder["n"],
-            finally:
+                                "total_tokens": prompt_tokens + completion_tokens_holder["n"],
-                await stats_collector.record_chat(
+                            },
-                    stream=True,
+                        }
-                    success=success,
+                        yield f"data: {json.dumps(usage_payload, ensure_ascii=False)}\n\n"
-                    prompt_tokens=prompt_tokens,
-                    completion_tokens=completion_tokens_holder["n"],
-                )
 
-        return StreamingResponse(event_stream(), media_type="text/event-stream")
+                    yield "data: [DONE]\n\n"
+                    success = True
+                except asyncio.CancelledError:
+                    logger.info("chat.stream cancelled by client (inst=%s)", _inst.name)
+                    raise
+                except Exception as exc:
+                    logger.warning("chat.stream error (inst=%s): %s", _inst.name, exc)
+                finally:
+                    await stats_collector.record_chat(
+                        stream=True,
+                        success=success,
+                        prompt_tokens=prompt_tokens,
+                        completion_tokens=completion_tokens_holder["n"],
+                    )
+                    _inst.in_flight = max(0, _inst.in_flight - 1)
+                    _ticket.release()
 
-    try:
+            ticket_transferred = True
-        result = await lingma.chat_complete(prompt, model, ask_mode)
+            return StreamingResponse(
-    except Exception:
+                event_stream(),
+                media_type="text/event-stream",
+                headers={
+                    "Cache-Control": "no-cache, no-transform",
+                    "X-Accel-Buffering": "no",
+                    "Connection": "keep-alive",
+                },
+            )
+
+        try:
+            result = await inst.client.chat_complete(prompt, model, ask_mode)
+        except Exception as exc:
+            logger.warning("chat.complete error (inst=%s): %s", inst.name, exc)
+            await stats_collector.record_chat(
+                stream=False,
+                success=False,
+                prompt_tokens=prompt_tokens,
+                completion_tokens=0,
+            )
+            raise HTTPException(
+                status_code=502,
+                detail={"error": {"message": "upstream lingma error", "type": "upstream_error"}},
+            )
+
+        completion_tokens = estimate_tokens(result.get("text") or "")
         await stats_collector.record_chat(
             stream=False,
-            success=False,
+            success=True,
             prompt_tokens=prompt_tokens,
-            completion_tokens=0,
+            completion_tokens=completion_tokens,
         )
-        raise
+        response = ChatCompletionResponse(
-
+            id=f"chatcmpl-{uuid.uuid4().hex}",
-    completion_tokens = estimate_tokens(result.get("text") or "")
+            created=int(time.time()),
-    await stats_collector.record_chat(
+            model=model,
-        stream=False,
+            choices=[
-        success=True,
+                ChatCompletionChoice(
-        prompt_tokens=prompt_tokens,
+                    index=0,
-        completion_tokens=completion_tokens,
+                    finish_reason="stop",
-    )
+                    message={"role": "assistant", "content": result.get("text") or ""},
-    response = ChatCompletionResponse(
+                )
-        id=f"chatcmpl-{uuid.uuid4().hex}",
+            ],
-        created=int(time.time()),
+        )
-        model=model,
+        data = response.model_dump()
-        choices=[
+        data["latency"] = {
-            ChatCompletionChoice(
+            "first_token_ms": result.get("firstTokenLatencyMs"),
-                index=0,
+            "total_ms": result.get("totalLatencyMs"),
-                finish_reason="stop",
+        }
-                message={"role": "assistant", "content": result.get("text") or ""},
+        data["usage"] = {
-            )
+            "prompt_tokens": prompt_tokens,
-        ],
+            "completion_tokens": completion_tokens,
-    )
+            "total_tokens": prompt_tokens + completion_tokens,
-    data = response.model_dump()
+        }
-    data["latency"] = {
+        data["served_by"] = inst.name
-        "first_token_ms": result.get("firstTokenLatencyMs"),
+        return JSONResponse(content=data)
-        "total_ms": result.get("totalLatencyMs"),
+    finally:
-    }
+        if not ticket_transferred:
-    data["usage"] = {
+            inst.in_flight = max(0, inst.in_flight - 1)
-        "prompt_tokens": prompt_tokens,
+            ticket.release()
-        "completion_tokens": completion_tokens,
-        "total_tokens": prompt_tokens + completion_tokens,
-    }
-    return JSONResponse(content=data)
 
 
 @app.post("/internal/auto-login/start", dependencies=[Depends(auth_guard)])
-async def internal_auto_login_start():
+async def internal_auto_login_start(instance: str | None = None):
-    assert lingma is not None
+    p = _require_pool()
-    assert auto_login is not None
+    target = None
+    if instance:
+        for inst in p.instances:
+            if inst.name == instance:
+                target = inst
+                break
+        if target is None:
+            raise HTTPException(
+                status_code=404,
+                detail={"error": {"message": f"instance not found: {instance}"}},
+            )
+    else:
+        target = p.pick()
 
-    status = await lingma.auth_status()
+    client = target.client
+    auto_login = target.auto_login
+
+    status = await client.auth_status()
     if status and status.get("id"):
-        return {"ok": True, "state": "already_logged_in", "auth": status}
+        return {"ok": True, "state": "already_logged_in", "instance": target.name, "auth": status}
 
     if settings.dedicated_domain_url:
-        current = await lingma.get_endpoint()
+        try:
-        current_ep = (current or {}).get("endpoint", "") if isinstance(current, dict) else ""
+            current = await client.get_endpoint()
-        if current_ep != settings.dedicated_domain_url:
+            current_ep = (current or {}).get("endpoint", "") if isinstance(current, dict) else ""
-            await lingma.update_endpoint(settings.dedicated_domain_url)
+            if current_ep != settings.dedicated_domain_url:
+                await client.update_endpoint(settings.dedicated_domain_url)
+        except Exception as exc:
+            logger.warning("[%s] switch dedicated endpoint failed: %s", target.name, exc)
+
+    try:
+        login_url, _login_raw = await client.generate_login_url()
+    except Exception as exc:
+        logger.warning("[%s] generate_login_url failed: %s", target.name, exc)
+        raise HTTPException(status_code=502, detail={"error": {"message": "generate login url failed"}})
 
-    login_url, login_raw = await lingma.generate_login_url()
     if not login_url:
-        raise HTTPException(status_code=500, detail={"error": {"message": "generate login url failed", "raw": login_raw}})
+        raise HTTPException(status_code=502, detail={"error": {"message": "generate login url failed"}})
 
     started = await auto_login.ensure_started(login_url)
     return {
         "ok": True,
         "state": "running" if started else "already_running",
-        "loginUrl": login_url,
+        "instance": target.name,
         "auto_login": auto_login.status(),
     }
 
 
 @app.get("/internal/auto-login/status", dependencies=[Depends(auth_guard)])
 async def internal_auto_login_status():
-    assert auto_login is not None
+    p = _require_pool()
-    assert lingma is not None
+    out = []
-    return {
+    for inst in p.instances:
-        "ok": True,
+        try:
-        "auto_login": auto_login.status(),
+            auth = await inst.client.auth_status()
-        "auth": await lingma.auth_status(),
+        except Exception as exc:
-    }
+            auth = {"error": str(exc)}
+        out.append(
+            {
+                "instance": inst.name,
+                "auto_login": inst.auto_login.status(),
+                "auth": auth,
+                "state": inst.client.state,
+            }
+        )
+    return {"ok": True, "instances": out}
 
 
 @app.get("/internal/stats", dependencies=[Depends(auth_guard)])
 async def internal_stats():
-    return {"ok": True, "stats": await stats_collector.snapshot()}
+    p = _require_pool()
+    return {
+        "ok": True,
+        "stats": await stats_collector.snapshot(),
+        "concurrency": chat_guard.stats(),
+        "pool": p.stats(),
+    }
 
 
-@app.get("/metrics")
+@app.get("/metrics", dependencies=[Depends(metrics_auth_guard)])
 async def metrics():
-    text = await stats_collector.prometheus_text()
+    base = await stats_collector.prometheus_text()
-    return StreamingResponse(iter([text]), media_type="text/plain; version=0.0.4")
+    lines = list(chat_guard.prometheus_lines())
+    if pool is not None:
+        lines.extend(pool.prometheus_lines())
+    extra = "\n".join(lines) + "\n"
+    return StreamingResponse(iter([base + extra]), media_type="text/plain; version=0.0.4")

app/openai_schema.py

@@ -1,13 +1,22 @@
 from __future__ import annotations
 
-from typing import Literal
+from typing import Any, Literal
 
 from pydantic import BaseModel, Field
 
 
+# Keep permissive: OpenAI clients routinely send list-of-parts (multi-modal) or None
+# (for tool calls). We flatten to plain text downstream.
+MessageContent = str | list[dict[str, Any]] | None
+
+
 class ChatMessage(BaseModel):
-    role: Literal["system", "user", "assistant", "tool"]
+    # OpenAI supports "developer" on newer API versions in addition to the classic set.
-    content: str
+    role: Literal["system", "user", "assistant", "tool", "developer", "function"]
+    content: MessageContent = None
+    name: str | None = None
+    tool_call_id: str | None = None
+    tool_calls: list[dict[str, Any]] | None = None
 
 
 class ChatCompletionsRequest(BaseModel):
@@ -16,6 +25,11 @@ class ChatCompletionsRequest(BaseModel):
     stream: bool = False
     temperature: float | None = None
     top_p: float | None = None
+    max_tokens: int | None = None
+    user: str | None = None
+    stream_options: dict[str, Any] | None = None
+    tools: list[dict[str, Any]] | None = None
+    tool_choice: Any | None = None
 
 
 class ModelData(BaseModel):
@@ -35,6 +49,7 @@ class ChatCompletionChoice(BaseModel):
     index: int = 0
     finish_reason: str | None = "stop"
     message: dict = Field(default_factory=dict)
+    logprobs: Any | None = None
 
 
 class ChatCompletionResponse(BaseModel):
@@ -43,3 +58,34 @@ class ChatCompletionResponse(BaseModel):
     created: int
     model: str
     choices: list[ChatCompletionChoice]
+    system_fingerprint: str | None = None
+
+
+def flatten_content(content: MessageContent) -> str:
+    """Reduce OpenAI multi-part content to a plain string prompt for Lingma."""
+    if content is None:
+        return ""
+    if isinstance(content, str):
+        return content
+    if isinstance(content, list):
+        parts: list[str] = []
+        for item in content:
+            if not isinstance(item, dict):
+                parts.append(str(item))
+                continue
+            t = item.get("type")
+            if t == "text":
+                text = item.get("text") or ""
+                if text:
+                    parts.append(text)
+            elif t in ("image_url", "input_image"):
+                # Lingma 不支持多模态，降级成占位符，保留语义信号
+                parts.append("[image]")
+            elif t == "input_audio":
+                parts.append("[audio]")
+            else:
+                text = item.get("text") or item.get("content")
+                if isinstance(text, str) and text:
+                    parts.append(text)
+        return "\n".join(p for p in parts if p)
+    return str(content)