feat: improve tool-call bridging and env documentation

.env.example

@@ -1,22 +1,14 @@
+# ==================== 必要配置（先填这部分） ====================
+
 # 网关监听地址
 HOST=0.0.0.0
 # 网关监听端口
 PORT=8317
-# API Key，可配置多个（逗号分隔）。空 = 不鉴权（启动会打 warning），仅用于本地 dev
-API_KEYS=sk-your-api-key
-# 独立的 /metrics 鉴权 token（留空则退化为 API_KEYS 亦可访问；若与 API_KEYS 同时为空，/metrics 默认 503）
-METRICS_TOKEN=
-# 显式把 /metrics 设为公开（仅在私网采集器场景使用）
-METRICS_PUBLIC=false
-# 独立的 /internal/* 管理 token（留空则退化为 API_KEYS）；强烈建议生产环境单独配置
-ADMIN_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
+# API Key，可配置多个（逗号分隔）。空 = 不鉴权（仅建议本地 dev）
+API_KEYS=sk-your-api-key
+# /internal/* 管理 token（留空则退化为 API_KEYS）
+ADMIN_TOKEN=
 
 # 容器内 Lingma 二进制路径
 LINGMA_BIN=/app/data/bin/Lingma
@@ -26,12 +18,11 @@ LINGMA_SOURCE_TYPE=marketplace
 LINGMA_MARKETPLACE_PUBLISHER=Alibaba-Cloud
 # Marketplace 扩展名
 LINGMA_MARKETPLACE_EXTENSION=tongyi-lingma
-# VSIX 下载地址（最新优先）
-LINGMA_VSIX_URL=https://tongyi-code.oss-cn-hangzhou.aliyuncs.com/vscode/tongyi-lingma-latest.vsix
 # 启动时总是尝试从 VSIX 刷新二进制
 LINGMA_BOOTSTRAP_ALWAYS=true
 # 强制刷新（true 时忽略本地缓存）
 LINGMA_FORCE_REFRESH=false
+
 # Lingma 工作目录（登录/会话数据）
 LINGMA_WORK_DIR=/app/data/.lingma/vscode/sharedClientCache
 # Lingma WebSocket 端口
@@ -43,11 +34,39 @@ LINGMA_RPC_TIMEOUT=30
 
 # 默认模型（无法映射时使用）
 DEFAULT_MODEL=org_auto
-# 默认模式：chat 或 agent
-DEFAULT_ASK_MODE=chat
+# 默认模式：chat 或 agent（工具调用建议 agent）
+DEFAULT_ASK_MODE=agent
 
-# 请求侧 tools/tool_choice 透传到 Lingma（默认开启，可显式关闭）
+# 请求侧 tools/tool_choice 透传到 Lingma（工具调用建议开启）
 TOOL_FORWARD_ENABLED=true
+
+# 登录方式（二选一）
+# A. 账号密码（单实例）
+LINGMA_USERNAME=
+LINGMA_PASSWORD=
+# B. 会话 bundle（推荐生产）
+# LINGMA_SESSION_BUNDLE=
+# LINGMA_SESSION_BUNDLE_FILE=/secrets/lingma-session.b64
+
+
+# ==================== 可选配置（按需） ====================
+
+# 独立的 /metrics 鉴权 token（留空则退化为 API_KEYS 亦可访问）
+METRICS_TOKEN=
+# 显式把 /metrics 设为公开（仅私网采集器场景）
+METRICS_PUBLIC=false
+
+# 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
+
+# VSIX 下载地址（仅 LINGMA_SOURCE_TYPE=vsix 或 marketplace 回退时使用）
+LINGMA_VSIX_URL=https://tongyi-code.oss-cn-hangzhou.aliyuncs.com/vscode/tongyi-lingma-latest.vsix
+
 # 可选：允许透传的工具名白名单，逗号分隔；为空表示不额外限制
 TOOL_ALLOWLIST=
 
@@ -63,41 +82,15 @@ AUTO_LOGIN_TIMEOUT=180
 # 自动登录重试次数
 AUTO_LOGIN_MAX_RETRY=2
 
-# 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（仅当 LINGMA_ACCOUNTS 为空时生效）
-LINGMA_PASSWORD=
-
-# ==== 多实例池（方案乙：多账号） ====
+# ==== 多实例池（可选） ====
 # 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
+# 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
 LINGMA_INSTANCE_COUNT=
 
-# ==== 登录态注入：跳过 Playwright 自动登录 ====
-# 方式 1：base64 字符串，内容 = tar.gz(workDir/cache/{id,user,quota,config.json})
-#        通过 `POST /internal/session/export` 从另一个已登录实例导出得到。
-#        配了这个就可以不填 LINGMA_USERNAME / LINGMA_PASSWORD。
-# LINGMA_SESSION_BUNDLE=
-
-# 方式 2：指向宿主机上的 bundle 文件路径（文件内容即 base64 字符串）
-# LINGMA_SESSION_BUNDLE_FILE=/secrets/lingma-session.b64
-
-# 多账号时走 JSON 模式，每个账号可以独立带 session_bundle：
-# LINGMA_ACCOUNTS=[
-#   {"username":"u1","password":"p1","session_bundle":"H4sI..."},
-#   {"username":"u2","password":"p2","session_bundle_file":"/secrets/u2.b64"}
-# ]
-# 注意：一旦 workDir 里已经有登录态（cache/user 非空），bundle 会被跳过，
-# 你手动登录的 / 旧容器的登录态不会被覆盖。
-
-# ==== 会话复用（多轮对话命中上游 KV cache，减少首 token 延迟） ====
-# 开关（默认开）
+# ==== 会话复用（可选，默认开） ====
 SESSION_REUSE_ENABLED=true
-# 最多缓存多少条会话 (LRU)
 SESSION_CACHE_MAX_ENTRIES=256
-# 会话 TTL 秒数；超时自动失效，避免 Lingma 侧早已回收还在命中
 SESSION_CACHE_TTL_SEC=1800

app/bootstrap_lingma.py

@@ -40,7 +40,39 @@ def _pick_lingma_binary_path(inner_zip: zipfile.ZipFile) -> str:
     raise RuntimeError("Lingma binary not found inside nested zip")
 
 
-def _query_marketplace_latest_vsix(publisher: str, extension: str) -> tuple[str, str, dict]:
+def _infer_release_root(member_path: str) -> str:
+    parts = [p for p in member_path.split("/") if p]
+    if "x86_64_linux" in parts:
+        idx = parts.index("x86_64_linux")
+        if idx > 0:
+            return "/".join(parts[:idx])
+    if len(parts) > 1:
+        return parts[0]
+    return ""
+
+
+def _extract_release_tree(
+    inner_zip: zipfile.ZipFile, release_root: str, out_dir: Path
+) -> None:
+    prefix = f"{release_root}/" if release_root else ""
+    for info in inner_zip.infolist():
+        name = info.filename
+        if not name or name.endswith("/"):
+            continue
+        if prefix and not name.startswith(prefix):
+            continue
+        rel = name[len(prefix) :] if prefix else name
+        if not rel:
+            continue
+        dest = out_dir / rel
+        dest.parent.mkdir(parents=True, exist_ok=True)
+        with inner_zip.open(info, "r") as src, dest.open("wb") as dst:
+            dst.write(src.read())
+
+
+def _query_marketplace_latest_vsix(
+    publisher: str, extension: str
+) -> tuple[str, str, dict]:
     api = "https://marketplace.visualstudio.com/_apis/public/gallery/extensionquery"
     payload = {
         "filters": [
@@ -58,7 +90,9 @@ def _query_marketplace_latest_vsix(publisher: str, extension: str) -> tuple[str,
         "assetTypes": [],
         "flags": 950,
     }
-    req = urllib.request.Request(api, data=json.dumps(payload).encode("utf-8"), method="POST")
+    req = urllib.request.Request(
+        api, data=json.dumps(payload).encode("utf-8"), method="POST"
+    )
     req.add_header("accept", "application/json;api-version=3.0-preview.1")
     req.add_header("content-type", "application/json")
     req.add_header("x-market-client-id", "VSCode 1.115.0")
@@ -83,7 +117,11 @@ def _query_marketplace_latest_vsix(publisher: str, extension: str) -> tuple[str,
             "https://marketplace.visualstudio.com/_apis/public/gallery/"
             f"publishers/{publisher}/vsextensions/{extension}/{version}/vspackage"
         )
-    return vsix_url, version, {"publisher": publisher, "extension": extension, "version": version}
+    return (
+        vsix_url,
+        version,
+        {"publisher": publisher, "extension": extension, "version": version},
+    )
 
 
 def bootstrap_from_vsix() -> None:
@@ -106,7 +144,9 @@ def bootstrap_from_vsix() -> None:
     old_marker = {}
     if marker_path.exists():
         try:
-            old_marker = json.loads(marker_path.read_text(encoding="utf-8", errors="ignore"))
+            old_marker = json.loads(
+                marker_path.read_text(encoding="utf-8", errors="ignore")
+            )
         except Exception:
             old_marker = {}
 
@@ -115,15 +155,17 @@ def bootstrap_from_vsix() -> None:
     source_meta = {"source": source_type}
     if source_type == "marketplace":
         try:
-            resolved_url, resolved_version, source_meta = _query_marketplace_latest_vsix(
-                mp_publisher, mp_extension
+            resolved_url, resolved_version, source_meta = (
+                _query_marketplace_latest_vsix(mp_publisher, mp_extension)
             )
             print(
                 f"[bootstrap] marketplace latest: {mp_publisher}.{mp_extension} "
                 f"version={resolved_version}"
             )
         except Exception as exc:
-            print(f"[bootstrap] marketplace query failed, fallback to LINGMA_VSIX_URL: {exc}")
+            print(
+                f"[bootstrap] marketplace query failed, fallback to LINGMA_VSIX_URL: {exc}"
+            )
             resolved_url = vsix_url
 
     if (
@@ -144,9 +186,18 @@ def bootstrap_from_vsix() -> None:
 
     print(f"[bootstrap] downloading VSIX: {resolved_url}")
     try:
-        with urllib.request.urlopen(resolved_url, timeout=120) as r:
-            data = r.read()
-        vsix_path.write_bytes(data)
+        with (
+            urllib.request.urlopen(resolved_url, timeout=30) as r,
+            vsix_path.open("wb") as f,
+        ):
+            total = 0
+            while True:
+                chunk = r.read(1024 * 1024)
+                if not chunk:
+                    break
+                f.write(chunk)
+                total += len(chunk)
+            print(f"[bootstrap] VSIX downloaded bytes={total}")
     except Exception as exc:
         if lingma_bin.exists():
             print(f"[bootstrap] download failed, fallback to existing Lingma: {exc}")
@@ -162,10 +213,18 @@ def bootstrap_from_vsix() -> None:
         with zipfile.ZipFile(io.BytesIO(nested_zip_bytes), "r") as inner_zip:
             lingma_member = _pick_lingma_binary_path(inner_zip)
             lingma_bytes = inner_zip.read(lingma_member)
-
+            release_root = _infer_release_root(lingma_member)
             lingma_bin.parent.mkdir(parents=True, exist_ok=True)
+            release_dir = lingma_bin.parent / (release_root or "2.5.20")
+            _extract_release_tree(inner_zip, release_root, release_dir)
+
         lingma_bin.write_bytes(lingma_bytes)
         os.chmod(lingma_bin, 0o755)
+        extension_main = release_dir / "extension" / "main.js"
+        if extension_main.exists():
+            print(f"[bootstrap] extension ready: {extension_main}")
+        else:
+            print(f"[bootstrap] extension missing under: {release_dir}")
 
         marker = {
             "source": source_type,
@@ -174,6 +233,7 @@ def bootstrap_from_vsix() -> None:
             "downloaded_at": int(time.time()),
             "nested_zip": nested_zip_name,
             "member": lingma_member,
+            "release_root": release_root,
             "size": len(lingma_bytes),
         }
         marker.update(source_meta)

app/http/tool_bridge.py

@@ -2,6 +2,7 @@ from __future__ import annotations
 
 import ast
 import json
+import re
 import uuid
 from typing import Any
 
@@ -50,10 +51,16 @@ def _tool_event_allowed(
     *,
     forced_tool_name: str | None = None,
 ) -> bool:
-    if not (tool_config and isinstance(tool_config.get("tools"), list) and tool_config.get("tools")):
+    if not (
+        tool_config
+        and isinstance(tool_config.get("tools"), list)
+        and tool_config.get("tools")
+    ):
         return True
     for tool in tool_config.get("tools") or []:
-        if tool_name == _anthropic_tool_name(tool) or tool_name == _openai_tool_name(tool):
+        if tool_name == _anthropic_tool_name(tool) or tool_name == _openai_tool_name(
+            tool
+        ):
             return True
     return bool(forced_tool_name and tool_name == forced_tool_name)
 
@@ -67,7 +74,9 @@ def _allowed_tool_event(
     if not isinstance(tool, dict):
         return None
     tool_name = str(tool.get("name") or "")
-    if not _tool_event_allowed(tool_name, tool_config, forced_tool_name=forced_tool_name):
+    if not _tool_event_allowed(
+        tool_name, tool_config, forced_tool_name=forced_tool_name
+    ):
         return None
     return tool
 
@@ -104,7 +113,9 @@ def _allowed_stream_tool_event(
     if not isinstance(tool, dict):
         return None
     tool_name = str(tool.get("name") or "")
-    if not _tool_event_allowed(tool_name, tool_config, forced_tool_name=forced_tool_name):
+    if not _tool_event_allowed(
+        tool_name, tool_config, forced_tool_name=forced_tool_name
+    ):
         return None
     return tool
 
@@ -150,7 +161,9 @@ def _json_object_from_text(text: str) -> dict[str, Any] | None:
     return parsed if isinstance(parsed, dict) else None
 
 
-def _tool_code_single_arg_name(tools: list[dict[str, Any]] | None, forced_tool_name: str) -> str | None:
+def _tool_code_single_arg_name(
+    tools: list[dict[str, Any]] | None, forced_tool_name: str
+) -> str | None:
     if not isinstance(tools, list):
         return None
     for tool in tools:
@@ -228,7 +241,9 @@ def _forced_tool_event_from_text(
 ) -> dict[str, Any] | None:
     parsed = _json_object_from_text(text)
     if parsed is None:
-        parsed = _tool_code_object_from_text(text, forced_tool_name, single_arg_name=single_arg_name)
+        parsed = _tool_code_object_from_text(
+            text, forced_tool_name, single_arg_name=single_arg_name
+        )
     if parsed is None:
         return None
 
@@ -288,7 +303,9 @@ def _forced_tool_fallback_event(
     )
 
 
-def _openai_tool_call(tool: dict[str, Any], *, forced_id: str | None = None) -> dict[str, Any]:
+def _openai_tool_call(
+    tool: dict[str, Any], *, forced_id: str | None = None
+) -> dict[str, Any]:
     return {
         "id": str(tool.get("id") or forced_id or f"call_{uuid.uuid4().hex}"),
         "type": "function",
@@ -299,6 +316,42 @@ def _openai_tool_call(tool: dict[str, Any], *, forced_id: str | None = None) ->
     }
 
 
+def _extract_function_call_event_from_text(
+    text: str,
+    *,
+    forced_tool_name: str | None,
+) -> dict[str, Any] | None:
+    raw = (text or "").strip()
+    if not raw:
+        return None
+    m = re.search(r"<function_calls>\s*(\{.*?\})\s*</function_calls>", raw, flags=re.S)
+    if not m:
+        return None
+    try:
+        payload = json.loads(m.group(1))
+    except Exception:
+        return None
+    if not isinstance(payload, dict):
+        return None
+    name = payload.get("name")
+    if not isinstance(name, str) or not name.strip():
+        return None
+    name = name.strip()
+    if forced_tool_name and name != forced_tool_name:
+        return None
+    arguments = payload.get("arguments")
+    if isinstance(arguments, str):
+        try:
+            arguments = json.loads(arguments)
+        except Exception:
+            return None
+    if arguments is None:
+        arguments = {}
+    if not isinstance(arguments, dict):
+        return None
+    return {"name": name, "input": arguments}
+
+
 def _anthropic_tool_use_block(
     tool: dict[str, Any], *, forced_id: str | None = None
 ) -> dict[str, Any]:

app/main.py

@@ -43,12 +43,10 @@ from .http.tool_bridge import (
     _anthropic_forced_tool_name,
     _anthropic_tool_result_block,
     _anthropic_tool_use_block,
-    _forced_tool_event_from_text,
-    _forced_tool_fallback_event,
+    _extract_function_call_event_from_text,
     _json_string,
     _openai_forced_tool_name,
     _openai_tool_call,
-    _tool_code_single_arg_name,
 )
 from .http.tooling_policy import (
     _anthropic_has_tooling_context,
@@ -84,7 +82,9 @@ chat_guard = InFlightGuard(
     queue_timeout_sec=settings.gateway_queue_timeout_sec,
 )
 session_cache = SessionCache(
-    max_entries=settings.session_cache_max_entries if settings.session_reuse_enabled else 0,
+    max_entries=settings.session_cache_max_entries
+    if settings.session_reuse_enabled
+    else 0,
     ttl_sec=settings.session_cache_ttl_sec,
 )
 
@@ -99,7 +99,12 @@ def _require_pool() -> LingmaPool:
     if pool is None:
         raise HTTPException(
             status_code=503,
-            detail={"error": {"message": "pool not initialized", "type": "service_unavailable"}},
+            detail={
+                "error": {
+                    "message": "pool not initialized",
+                    "type": "service_unavailable",
+                }
+            },
         )
     return pool
 
@@ -254,7 +259,12 @@ async def _ensure_instance_logged_in(inst: PoolInstance) -> dict:
         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"}},
+            detail={
+                "error": {
+                    "message": "Lingma is not ready",
+                    "type": "service_unavailable",
+                }
+            },
         )
 
     if status and status.get("id"):
@@ -263,13 +273,20 @@ async def _ensure_instance_logged_in(inst: PoolInstance) -> dict:
     if not settings.auto_login_enabled:
         raise HTTPException(
             status_code=401,
-            detail={"error": {"message": "Lingma not logged in", "type": "invalid_request_error"}},
+            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 ""
+            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:
@@ -281,13 +298,23 @@ async def _ensure_instance_logged_in(inst: PoolInstance) -> dict:
         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"}},
+            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"}},
+            detail={
+                "error": {
+                    "message": "generate login url failed",
+                    "type": "upstream_error",
+                }
+            },
         )
 
     await auto_login.ensure_started(login_url)
@@ -312,7 +339,12 @@ async def _ensure_instance_logged_in(inst: PoolInstance) -> dict:
     )
     raise HTTPException(
         status_code=401,
-        detail={"error": {"message": "Lingma auto login failed", "type": "invalid_request_error"}},
+        detail={
+            "error": {
+                "message": "Lingma auto login failed",
+                "type": "invalid_request_error",
+            }
+        },
     )
 
 
@@ -416,7 +448,6 @@ async def _apply_cached_instance_or_invalidate(
     )
 
 
-
 def _streaming_response(event_stream) -> StreamingResponse:
     return StreamingResponse(
         event_stream,
@@ -505,7 +536,12 @@ async def v1_chat_completions(req: ChatCompletionsRequest, request: Request):
     except ValueError:
         raise HTTPException(
             status_code=400,
-            detail={"error": {"message": "messages is empty", "type": "invalid_request_error"}},
+            detail={
+                "error": {
+                    "message": "messages is empty",
+                    "type": "invalid_request_error",
+                }
+            },
         )
     except BackpressureRejected as exc:
         retry_after = max(1, int(exc.retry_after))
@@ -534,7 +570,6 @@ async def v1_chat_completions(req: ChatCompletionsRequest, request: Request):
             completion_tokens_holder = {"n": 0}
             stream_meta: dict = {}
             forced_tool_name = _openai_forced_tool_name(req.tool_choice)
-            forced_tool_single_arg_name = _tool_code_single_arg_name(req.tools, forced_tool_name) if forced_tool_name else None
 
             async def event_stream(_ticket=ticket, _inst=inst, _meta=stream_meta):
                 success = False
@@ -602,7 +637,9 @@ async def v1_chat_completions(req: ChatCompletionsRequest, request: Request):
                                             "tool_calls": [
                                                 {
                                                     "index": idx,
-                                                    **_openai_tool_call(tool, forced_id=tool_id),
+                                                    **_openai_tool_call(
+                                                        tool, forced_id=tool_id
+                                                    ),
                                                 }
                                             ]
                                         },
@@ -622,18 +659,15 @@ async def v1_chat_completions(req: ChatCompletionsRequest, request: Request):
                             continue
                         yield _text_payload(text)
 
-                    if buffered_text_parts and not saw_tool_call and forced_tool_name:
-                        fallback_event = _forced_tool_event_from_text(
+                    if buffered_text_parts and forced_tool_name and not saw_tool_call:
+                        inferred = _extract_function_call_event_from_text(
                             "".join(buffered_text_parts),
-                            forced_tool_name,
-                            single_arg_name=forced_tool_single_arg_name,
+                            forced_tool_name=forced_tool_name,
                         )
-                        if fallback_event is not None:
+                        if inferred is not None:
+                            tool_id = "call_inferred_0"
+                            tool_call_indexes[tool_id] = 0
                             saw_tool_call = True
-                            tool_id = "call_fallback_0"
-                            idx = 0
-                            tool_call_indexes[tool_id] = idx
-                            fallback_tool_call = _openai_tool_call(fallback_event, forced_id=tool_id)
                             payload = {
                                 "id": completion_id,
                                 "object": "chat.completion.chunk",
@@ -645,8 +679,10 @@ async def v1_chat_completions(req: ChatCompletionsRequest, request: Request):
                                         "delta": {
                                             "tool_calls": [
                                                 {
-                                                    "index": idx,
-                                                    **fallback_tool_call,
+                                                    "index": 0,
+                                                    **_openai_tool_call(
+                                                        inferred, forced_id=tool_id
+                                                    ),
                                                 }
                                             ]
                                         },
@@ -669,7 +705,9 @@ async def v1_chat_completions(req: ChatCompletionsRequest, request: Request):
                             {
                                 "index": 0,
                                 "delta": {},
-                                "finish_reason": "tool_calls" if saw_tool_call else "stop",
+                                "finish_reason": "tool_calls"
+                                if saw_tool_call
+                                else "stop",
                             }
                         ],
                     }
@@ -685,7 +723,8 @@ async def v1_chat_completions(req: ChatCompletionsRequest, request: Request):
                             "usage": {
                                 "prompt_tokens": prompt_tokens,
                                 "completion_tokens": completion_tokens_holder["n"],
-                                "total_tokens": prompt_tokens + completion_tokens_holder["n"],
+                                "total_tokens": prompt_tokens
+                                + completion_tokens_holder["n"],
                             },
                         }
                         yield f"data: {json.dumps(usage_payload, ensure_ascii=False)}\n\n"
@@ -738,7 +777,12 @@ async def v1_chat_completions(req: ChatCompletionsRequest, request: Request):
         except UpstreamExecutionError:
             raise HTTPException(
                 status_code=502,
-                detail={"error": {"message": "upstream lingma error", "type": "upstream_error"}},
+                detail={
+                    "error": {
+                        "message": "upstream lingma error",
+                        "type": "upstream_error",
+                    }
+                },
             )
 
         result = completed.result
@@ -757,13 +801,14 @@ async def v1_chat_completions(req: ChatCompletionsRequest, request: Request):
             tool_calls.append(_openai_tool_call(item, forced_id=tool_id))
             saw_tool_call = True
         if not saw_tool_call and forced_tool_name:
-            fallback_event = _forced_tool_fallback_event(
+            inferred = _extract_function_call_event_from_text(
                 message_content,
                 forced_tool_name=forced_tool_name,
-                tools=req.tools,
             )
-            if fallback_event is not None:
-                tool_calls.append(_openai_tool_call(fallback_event, forced_id="call_fallback_0"))
+            if inferred is not None:
+                tool_calls.append(
+                    _openai_tool_call(inferred, forced_id="call_inferred_0")
+                )
                 saw_tool_call = True
                 message_content = ""
         response = ChatCompletionResponse(
@@ -783,7 +828,6 @@ async def v1_chat_completions(req: ChatCompletionsRequest, request: Request):
             ],
         )
 
-
         data = response.model_dump()
         data["latency"] = {
             "first_token_ms": result.get("firstTokenLatencyMs"),
@@ -801,8 +845,6 @@ async def v1_chat_completions(req: ChatCompletionsRequest, request: Request):
             release_execution(ticket=ticket, inst=inst)
 
 
-
-
 @app.post("/responses", dependencies=[Depends(auth_guard)])
 @app.post("/v1/responses", dependencies=[Depends(auth_guard)])
 async def v1_responses(req: ResponsesRequest, request: Request):
@@ -814,7 +856,6 @@ async def v1_responses(req: ResponsesRequest, request: Request):
     )
 
 
-
 def _anthropic_error(status_code: int, error_type: str, message: str) -> JSONResponse:
     """Build an Anthropic-shaped error response (`type:error` envelope)."""
     return JSONResponse(
@@ -879,15 +920,15 @@ async def v1_messages(req: AnthropicMessagesRequest, request: Request):
     try:
         p = _require_pool()
     except HTTPException as exc:
-        return _anthropic_error(exc.status_code, "overloaded_error", "gateway not ready")
+        return _anthropic_error(
+            exc.status_code, "overloaded_error", "gateway not ready"
+        )
 
     messages_dump = anthropic_to_internal_messages(req)
     # Prefer the auth token actually accepted so session-cache bucketing is
     # consistent regardless of which auth header style the caller used.
     api_key = (
-        request.headers.get("x-api-key", "").strip()
-        or _extract_api_key(request)
-        or "-"
+        request.headers.get("x-api-key", "").strip() or _extract_api_key(request) or "-"
     )
 
     # ------------------------------------------------------------- session reuse
@@ -924,9 +965,15 @@ async def v1_messages(req: AnthropicMessagesRequest, request: Request):
             messages_to_prompt=_messages_to_prompt,
         )
     except HTTPException as exc:
-        err_type = "authentication_error" if exc.status_code == 401 else "overloaded_error"
+        err_type = (
+            "authentication_error" if exc.status_code == 401 else "overloaded_error"
+        )
         detail = exc.detail if isinstance(exc.detail, dict) else {}
-        msg = (detail.get("error") or {}).get("message") or str(detail) or "upstream error"
+        msg = (
+            (detail.get("error") or {}).get("message")
+            or str(detail)
+            or "upstream error"
+        )
         return _anthropic_error(exc.status_code, err_type, msg)
     ask_mode = execution.ask_mode
     write_key = execution.write_key
@@ -950,7 +997,9 @@ async def v1_messages(req: AnthropicMessagesRequest, request: Request):
         return _anthropic_error(400, "invalid_request_error", "messages is empty")
     except BackpressureRejected as exc:
         retry_after = max(1, int(exc.retry_after))
-        logger.warning("anthropic rejected by backpressure, retry_after=%ds", retry_after)
+        logger.warning(
+            "anthropic rejected by backpressure, retry_after=%ds", retry_after
+        )
         resp = _anthropic_error(
             429,
             "overloaded_error",
@@ -1016,7 +1065,10 @@ async def v1_messages(req: AnthropicMessagesRequest, request: Request):
                             if text_block_open:
                                 yield _sse(
                                     "content_block_stop",
-                                    {"type": "content_block_stop", "index": block_index},
+                                    {
+                                        "type": "content_block_stop",
+                                        "index": block_index,
+                                    },
                                 )
                                 block_index += 1
                                 text_block_open = False
@@ -1029,9 +1081,13 @@ async def v1_messages(req: AnthropicMessagesRequest, request: Request):
                             if not tool:
                                 continue
 
-                            tool_id = str(tool.get("id") or f"toolu_stream_{block_index}")
+                            tool_id = str(
+                                tool.get("id") or f"toolu_stream_{block_index}"
+                            )
 
-                            tool_use_block = _anthropic_tool_use_block(tool, forced_id=tool_id)
+                            tool_use_block = _anthropic_tool_use_block(
+                                tool, forced_id=tool_id
+                            )
                             yield _sse(
                                 "content_block_start",
                                 {
@@ -1046,7 +1102,9 @@ async def v1_messages(req: AnthropicMessagesRequest, request: Request):
                             )
                             block_index += 1
 
-                            tool_result_block = _anthropic_tool_result_block(tool, forced_id=tool_id)
+                            tool_result_block = _anthropic_tool_result_block(
+                                tool, forced_id=tool_id
+                            )
                             if tool_result_block is not None:
                                 yield _sse(
                                     "content_block_start",
@@ -1058,7 +1116,10 @@ async def v1_messages(req: AnthropicMessagesRequest, request: Request):
                                 )
                                 yield _sse(
                                     "content_block_stop",
-                                    {"type": "content_block_stop", "index": block_index},
+                                    {
+                                        "type": "content_block_stop",
+                                        "index": block_index,
+                                    },
                                 )
                                 block_index += 1
                             else:
@@ -1114,7 +1175,6 @@ async def v1_messages(req: AnthropicMessagesRequest, request: Request):
                         },
                     )
 
-
                     # 6) message_stop — terminal event, no [DONE] sentinel.
                     yield _sse("message_stop", {"type": "message_stop"})
                     success = True
@@ -1122,7 +1182,9 @@ async def v1_messages(req: AnthropicMessagesRequest, request: Request):
                     logger.info("anthropic.stream cancelled (inst=%s)", _inst.name)
                     raise
                 except Exception as exc:
-                    logger.warning("anthropic.stream error (inst=%s): %s", _inst.name, exc)
+                    logger.warning(
+                        "anthropic.stream error (inst=%s): %s", _inst.name, exc
+                    )
                     # Best-effort error frame. Anthropic clients treat any
                     # unexpected event gracefully; we prefer visibility over
                     # silent truncation.
@@ -1155,7 +1217,6 @@ async def v1_messages(req: AnthropicMessagesRequest, request: Request):
             ticket_transferred = True
             return _streaming_response(event_stream())
 
-
         try:
             completed = await complete_execution(
                 protocol="anthropic",
@@ -1196,22 +1257,18 @@ async def v1_messages(req: AnthropicMessagesRequest, request: Request):
                 saw_pending_tool_use = True
 
         if not saw_tool_event and forced_tool_name:
-            fallback_event = _forced_tool_fallback_event(
+            inferred = _extract_function_call_event_from_text(
                 text,
                 forced_tool_name=forced_tool_name,
-                tools=req.tools,
             )
-            if fallback_event is not None:
-                content_blocks = []
-                tool_id = "toolu_fallback_0"
-                content_blocks.append(_anthropic_tool_use_block(fallback_event, forced_id=tool_id))
-                tool_result = _anthropic_tool_result_block(fallback_event, forced_id=tool_id)
-                saw_pending_tool_use = tool_result is None
-                if tool_result is not None:
-                    content_blocks.append(tool_result)
+            if inferred is not None:
+                content_blocks = [
+                    _anthropic_tool_use_block(inferred, forced_id="toolu_inferred_0")
+                ]
+                saw_tool_event = True
+                saw_pending_tool_use = True
 
         response_body: dict = {
-
             "id": message_id,
             "type": "message",
             "role": "assistant",
@@ -1256,25 +1313,38 @@ async def internal_auto_login_start(instance: str | None = None):
 
     status = await client.auth_status()
     if status and status.get("id"):
-        return {"ok": True, "state": "already_logged_in", "instance": target.name, "auth": status}
+        return {
+            "ok": True,
+            "state": "already_logged_in",
+            "instance": target.name,
+            "auth": status,
+        }
 
     if settings.dedicated_domain_url:
         try:
             current = await client.get_endpoint()
-            current_ep = (current or {}).get("endpoint", "") if isinstance(current, dict) else ""
+            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", target.name, 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"}})
+        raise HTTPException(
+            status_code=502, detail={"error": {"message": "generate login url failed"}}
+        )
 
     if not login_url:
-        raise HTTPException(status_code=502, detail={"error": {"message": "generate login url failed"}})
+        raise HTTPException(
+            status_code=502, detail={"error": {"message": "generate login url failed"}}
+        )
 
     started = await auto_login.ensure_started(login_url)
     return {
@@ -1327,7 +1397,9 @@ async def internal_session_export(instance: str | None = None):
                 target = inst
                 break
         if target is None:
-            raise HTTPException(status_code=404, detail={"error": f"instance {instance} not found"})
+            raise HTTPException(
+                status_code=404, detail={"error": f"instance {instance} not found"}
+            )
     else:
         target = p.pick()
 
@@ -1380,7 +1452,9 @@ async def internal_models_raw(instance: str | None = None):
                 target = inst
                 break
         if target is None:
-            raise HTTPException(status_code=404, detail={"error": f"instance {instance} not found"})
+            raise HTTPException(
+                status_code=404, detail={"error": f"instance {instance} not found"}
+            )
     else:
         target = p.pick()
     await _ensure_instance_logged_in(target)
@@ -1414,4 +1488,6 @@ async def metrics():
         lines.extend(pool.prometheus_lines())
     lines.extend(session_cache.prometheus_lines())
     extra = "\n".join(lines) + "\n"
-    return StreamingResponse(iter([base + extra]), media_type="text/plain; version=0.0.4")
+    return StreamingResponse(
+        iter([base + extra]), media_type="text/plain; version=0.0.4"
+    )