fix: restore PORT global name (was accidentally renamed to _PORT)

src/translate-proxy.py

@@ -188,6 +188,7 @@ DEFAULT_MODELS = {
 }
 
 def load_config():
+    global _CONFIG_PATH, _CONFIG_MTIME
     p = argparse.ArgumentParser(description="Responses API translation proxy")
     p.add_argument("--config", help="JSON config file path")
     p.add_argument("--port", type=int, default=None)
@@ -195,16 +196,21 @@ def load_config():
     p.add_argument("--target-url", default=None)
     p.add_argument("--api-key", default=None)
     p.add_argument("--models-file", default=None, help="JSON file with model list array")
-    args = p.parse_args()
+    _args = p.parse_args()
 
     cfg = {}
-    if args.config:
+    if _args.config:
-        with open(args.config) as f:
+        _CONFIG_PATH = os.path.abspath(_args.config)
+        with open(_args.config) as f:
             cfg = json.load(f)
+        try:
+            _CONFIG_MTIME = os.path.getmtime(_CONFIG_PATH)
+        except OSError:
+            pass
 
     for ck, ak in [("port", "port"), ("backend_type", "backend"),
                     ("target_url", "target_url"), ("api_key", "api_key")]:
-        v = getattr(args, ak, None)
+        v = getattr(_args, ak, None)
         if v is not None:
             cfg[ck] = v
 
@@ -226,8 +232,8 @@ def load_config():
     cfg.setdefault("api_key", "")
 
     models = cfg.get("models", [])
-    if not models and args.models_file:
+    if not models and _args.models_file:
-        with open(args.models_file) as f:
+        with open(_args.models_file) as f:
             models = json.load(f)
     if not models:
         models = DEFAULT_MODELS.get(cfg["backend_type"], [])
@@ -236,6 +242,8 @@ def load_config():
     return cfg
 
 CONFIG = None
+_CONFIG_PATH = None
+_CONFIG_MTIME = 0
 PORT = 8080
 BACKEND = "openai-compat"
 TARGET_URL = ""
@@ -867,6 +875,68 @@ def _init_runtime():
         _antigravity_version = _ensure_antigravity_version()
         print(f"[antigravity] version={_antigravity_version}", file=sys.stderr)
 
+def _verify_api_key(key, target_url):
+    if not key or not target_url:
+        return {"valid": False, "error": "missing key or url"}
+    test_url = upstream_target(target_url, "/models")
+    if not test_url:
+        return {"valid": False, "error": "invalid target url"}
+    try:
+        req = urllib.request.Request(test_url, headers={
+            "Authorization": f"Bearer {key}",
+            "Content-Type": "application/json",
+        })
+        resp = urllib.request.urlopen(req, timeout=10)
+        body = resp.read().decode()
+        model_count = 0
+        try:
+            data = json.loads(body)
+            model_count = len(data.get("data", []))
+        except Exception:
+            pass
+        return {"valid": True, "status": resp.status, "models": model_count}
+    except urllib.error.HTTPError as e:
+        err = e.read().decode()[:200]
+        return {"valid": False, "status": e.code, "error": err}
+    except Exception as e:
+        return {"valid": False, "error": str(e)[:200]}
+
+_HOT_RELOAD_LOCK = threading.Lock()
+
+def _hot_reload_api_key():
+    global API_KEY, _api_key_pool, _CONFIG_MTIME
+    if not _CONFIG_PATH:
+        return False
+    try:
+        cur_mtime = os.path.getmtime(_CONFIG_PATH)
+    except OSError:
+        return False
+    if cur_mtime <= _CONFIG_MTIME:
+        return False
+    with _HOT_RELOAD_LOCK:
+        try:
+            cur_mtime2 = os.path.getmtime(_CONFIG_PATH)
+            if cur_mtime2 <= _CONFIG_MTIME:
+                return False
+            with open(_CONFIG_PATH) as f:
+                new_cfg = json.load(f)
+            new_key = (new_cfg.get("api_key") or "").strip()
+            if not new_key or new_key == API_KEY:
+                _CONFIG_MTIME = cur_mtime2
+                return False
+            old_preview = API_KEY[:8] + "..." if len(API_KEY) > 8 else "(empty)"
+            new_preview = new_key[:8] + "..." if len(new_key) > 8 else "(empty)"
+            API_KEY = new_key
+            _CONFIG_MTIME = cur_mtime2
+            if API_KEY and "," in API_KEY and not OAUTH_PROVIDER.startswith("google") and BACKEND not in ("codebuff", "freebuff"):
+                _api_key_pool = APIKeyPool(BACKEND, API_KEY)
+                print(f"[hot-reload] API key pool refreshed: {len(_api_key_pool._accounts)} keys", file=sys.stderr)
+            print(f"[hot-reload] API key updated: {old_preview} -> {new_preview}", file=sys.stderr)
+            return True
+        except Exception as e:
+            print(f"[hot-reload] error: {e}", file=sys.stderr)
+            return False
+
     bgp_models = []
     for _r in BGP_ROUTES:
         for _m in _r.get("models", [{"id": _r.get("model", "unknown")}]):
@@ -1689,7 +1759,8 @@ _PROVIDER_POLICIES = {
     "openrouter": {"reasoning_mode": "provider_default", "max_tokens": 32768, "strip_reasoning": True,
                    "tool_output_limit": 6000, "max_input_items": 35, "compaction": "balanced"},
     "openadapter": {"reasoning_mode": "off", "max_tokens": 32768, "strip_reasoning": True,
-                    "tool_output_limit": 2000, "max_input_items": 15, "compaction": "aggressive"},
+                    "tool_output_limit": 1000, "max_input_items": 10, "compaction": "aggressive",
+                    "synthetic_tool_results": True},
     "cloudcode-pa": {"compaction": "aggressive", "context_size": 1000000,
                      "tool_output_limit": 6000, "max_input_items": 60},
     "googleapis": {"compaction": "balanced", "context_size": 1000000,
@@ -4591,6 +4662,17 @@ class Handler(http.server.BaseHTTPRequestHandler):
                                   "uptime_s": round(_uptime, 1),
                                   "memory_mb": round(_mem_mb, 1),
                                    "requests_total": _STATS.get("requests", 0)})
+         elif self.path == "/admin/reload":
+            reloaded = _hot_reload_api_key()
+            key_preview = API_KEY[:8] + "..." if len(API_KEY) > 8 else "(empty)"
+            self.send_json(200, {"ok": True, "reloaded": reloaded,
+                                 "api_key_preview": key_preview,
+                                 "config_path": _CONFIG_PATH or "none"})
+         elif self.path == "/admin/verify-key":
+            result = _verify_api_key(API_KEY, TARGET_URL)
+            key_preview = API_KEY[:8] + "..." if len(API_KEY) > 8 else "(empty)"
+            result["api_key_preview"] = key_preview
+            self.send_json(200, result)
          else:
              self.send_error(404)
 
@@ -4612,6 +4694,7 @@ class Handler(http.server.BaseHTTPRequestHandler):
     _logf = None
 
     def _handle(self):
+        _hot_reload_api_key()
         try:
             clen = int(self.headers.get("Content-Length", 0))
             body = json.loads(self.rfile.read(clen))
@@ -5665,6 +5748,35 @@ class Handler(http.server.BaseHTTPRequestHandler):
                     except Exception as e:
                         print(f"[crof-adaptive] retry failed: {e}", file=sys.stderr)
 
+            # Smart continuation: if model returned finish_reason=stop with only text (no tool calls)
+            # during an active tool-using session, nudge it to continue working.
+            _has_tool_calls_in_output = any(o.get("type") == "function_call" for o in (last_output or []))
+            if (finish_reason == "stop" and has_content and not _has_tool_calls_in_output
+                    and isinstance(input_data, list) and len(input_data) >= 3
+                    and has_function_call_output(input_data)):
+                _nudge_msg = {
+                    "role": "user",
+                    "content": "Continue with the task. If you need to make changes or gather more information, use the appropriate tools. Do NOT just describe what to do — take action using tool calls."
+                }
+                nudge_messages = oa_input_to_messages(input_data) + [_nudge_msg]
+                instructions = body.get("instructions", "").strip()
+                if instructions:
+                    nudge_messages.insert(0, {"role": "system", "content": instructions})
+                nudge_chat_body = self._build_chat_body(model, nudge_messages, body, stream)
+                nudge_req = urllib.request.Request(target, data=json.dumps(nudge_chat_body).encode(), headers=fwd)
+                print(f"[{self._session_id}] [smart-continue] model stopped mid-task without tool calls, nudging continuation", file=sys.stderr)
+                try:
+                    retry_upstream = urllib.request.urlopen(nudge_req, timeout=_upstream_timeout(body, True))
+                    collected_events = []
+                    last_resp_id = last_output = last_status = None
+                    finish_reason = None
+                    has_content = False
+                    for event in oa_stream_to_sse(retry_upstream, model, body.get("request_id") or body.get("id")):
+                        collected_events.append(event)
+                        _observe_event(event)
+                except Exception as e:
+                    print(f"[{self._session_id}] [smart-continue] nudge retry failed: {e}", file=sys.stderr)
+
             self.stream_buffered_events(collected_events)
         else:
             result = oa_resp_to_responses(json.loads(upstream.read()), model)
@@ -6609,7 +6721,7 @@ def main():
     _anti_stall_cleanup()
     _init_runtime()
     try:
-        _current_cfg = os.path.basename(args.config) if args.config else ""
+        _current_cfg = os.path.basename(_CONFIG_PATH) if _CONFIG_PATH else ""
         for _f in os.listdir(_LOG_DIR):
             if _f.startswith("proxy-") and _f.endswith(".json") and _f != _current_cfg:
                 os.remove(os.path.join(_LOG_DIR, _f))