diff --git a/README.md b/README.md
index 2122d04b..982a635d 100644
--- a/README.md
+++ b/README.md
@@ -267,6 +267,20 @@ export STRIX_REASONING_EFFORT="high"  # control thinking effort (default: high,
 > [!NOTE]
 > Strix automatically saves your configuration to `~/.strix/cli-config.json`, so you don't have to re-enter it on every run.
 
+#### Sign in with a ChatGPT subscription
+
+Instead of a metered API key, you can run Strix on your ChatGPT Plus/Pro subscription:
+
+```bash
+strix auth login chatgpt      # sign in with your ChatGPT account
+
+export STRIX_LLM="chatgpt/gpt-5.4"   # chatgpt/<model> runs on the subscription
+strix --target ./app-directory
+
+strix auth status             # show the active sign-in
+strix auth logout             # forget the sign-in
+```
+
 **Recommended models for best results:**
 
 - [OpenAI GPT-5.4](https://openai.com/api/) - `openai/gpt-5.4`
diff --git a/pyproject.toml b/pyproject.toml
index d389bd67..f51877d4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -215,6 +215,10 @@ ignore = [
 # Test doubles use fixture tokens/passwords and match a callee signature whose
 # args they intentionally ignore.
 "tests/test_viewer_auth.py" = ["S105", "S106", "ARG001"]
+"tests/test_codex_auth.py" = ["S105", "S106", "SLF001"]
+# Stdlib HTTP handler overrides (do_GET/do_POST).
+"strix/interface/auth_cli.py" = ["N802"]
+"tests/test_codex_streaming.py" = ["N802"]
 "tests/test_report_pdf.py" = ["S105", "S106"]
 # Stdlib HTTP handler overrides (do_GET/do_POST) and lazy imports that avoid a
 # circular dependency with strix.telemetry / strix.viewer.report_pdf.
@@ -253,9 +257,13 @@ ignore = [
 "strix/core/runner.py" = ["TC003", "PLR0912", "PLR0915", "PLC0415"]
 # ReportState carries scan artifact/report fields and
 # a runtime ``Callable`` annotation on ``vulnerability_found_callback``.
-"strix/report/state.py" = ["TC003", "PLR0912", "PLR0915", "E501", "PERF401"]
+"strix/report/state.py" = ["TC003", "PLR0912", "PLR0915", "E501", "PERF401", "PLC0415"]
 "strix/report/usage.py" = ["PLC0415"]
+"strix/telemetry/logging.py" = ["PLC0415"]
 "strix/config/models.py" = ["PLC0415"]
+# Heavy inference deps (httpx, openai) imported lazily so auth-status checks
+# don't pull them in.
+"strix/config/codex.py" = ["PLC0415"]
 # Interface utility branches per scope-mode / target-type combination;
 # splitting would obscure the decision tree without simplifying it.
 "strix/interface/utils.py" = ["PLR0912", "BLE001", "PLC0415"]
diff --git a/strix/config/codex.py b/strix/config/codex.py
new file mode 100644
index 00000000..0359afb6
--- /dev/null
+++ b/strix/config/codex.py
@@ -0,0 +1,411 @@
+"""ChatGPT (Codex) subscription auth: OAuth login, token refresh, and the OpenAI
+client that routes inference through the ChatGPT backend.
+
+Mirrors OpenAI's Codex CLI: OAuth 2.0 + PKCE against ``auth.openai.com``, with the
+access token sent as a ``Bearer`` token to ``chatgpt.com/backend-api/codex``. Using
+a ChatGPT subscription outside OpenAI's own products is not officially supported by
+OpenAI; the user chooses this path knowingly. The OAuth constants are OpenAI's own
+Codex CLI values (the backend only accepts that client).
+"""
+
+from __future__ import annotations
+
+import base64
+import contextlib
+import hashlib
+import json
+import logging
+import secrets
+import threading
+import time
+import urllib.error
+import urllib.parse
+import urllib.request
+from pathlib import Path
+from typing import TYPE_CHECKING, Any
+
+
+if TYPE_CHECKING:
+    from collections.abc import Iterator
+
+    from openai import AsyncOpenAI
+
+
+logger = logging.getLogger(__name__)
+
+
+PROVIDER = "codex"
+
+CLIENT_ID = "app_EMoamEEZ73f0CkXaXp7hrann"
+AUTHORIZE_URL = "https://auth.openai.com/oauth/authorize"
+TOKEN_URL = "https://auth.openai.com/oauth/token"  # noqa: S105  # nosec B105 - URL, not a secret
+CALLBACK_HOST = "localhost"
+CALLBACK_PORT = 1455
+CALLBACK_PATH = "/auth/callback"
+REDIRECT_URI = f"http://{CALLBACK_HOST}:{CALLBACK_PORT}{CALLBACK_PATH}"
+SCOPE = "openid profile email offline_access"
+
+CODEX_BASE_URL = "https://chatgpt.com/backend-api/codex"
+ORIGINATOR = "codex_cli_rs"
+_ACCOUNT_CLAIM = "https://api.openai.com/auth"
+
+_TOKEN_TIMEOUT = 30
+_EXPIRY_SKEW_S = 300
+
+_refresh_lock = threading.Lock()
+
+# Kept separate from cli-config.json so OAuth tokens never land in the env-var config.
+AUTH_PATH = Path.home() / ".strix" / "subscription-auth.json"
+
+
+def _read_store() -> dict[str, Any]:
+    try:
+        data = json.loads(AUTH_PATH.read_text(encoding="utf-8"))
+    except (OSError, json.JSONDecodeError):
+        return {}
+    return data if isinstance(data, dict) else {}
+
+
+def _write_store(data: dict[str, Any]) -> None:
+    AUTH_PATH.parent.mkdir(parents=True, exist_ok=True)
+    tmp = AUTH_PATH.with_suffix(".json.tmp")
+    tmp.write_text(json.dumps(data, indent=2), encoding="utf-8")
+    with contextlib.suppress(OSError):
+        tmp.chmod(0o600)
+    tmp.replace(AUTH_PATH)
+    with contextlib.suppress(OSError):
+        AUTH_PATH.chmod(0o600)
+
+
+def read_record() -> dict[str, Any] | None:
+    record = _read_store().get(PROVIDER)
+    if not isinstance(record, dict) or record.get("type") != "oauth":
+        return None
+    if not (record.get("access") and record.get("refresh") and record.get("account_id")):
+        return None
+    return record
+
+
+def is_authenticated() -> bool:
+    return read_record() is not None
+
+
+def save_record(record: dict[str, Any]) -> None:
+    data = _read_store()
+    data[PROVIDER] = record
+    _write_store(data)
+
+
+def logout() -> None:
+    data = _read_store()
+    if PROVIDER not in data:
+        return
+    del data[PROVIDER]
+    if data:
+        _write_store(data)
+        return
+    with contextlib.suppress(OSError):
+        AUTH_PATH.unlink()
+
+
+@contextlib.contextmanager
+def _refresh_guard() -> Iterator[None]:
+    """Serialize token refresh within (lock) and across (flock) Strix processes,
+    so concurrent runs can't both spend the single-use refresh token."""
+    with _refresh_lock:
+        try:
+            import fcntl
+
+            lock_path = AUTH_PATH.with_suffix(".lock")
+            lock_path.parent.mkdir(parents=True, exist_ok=True)
+            handle = lock_path.open("w")
+        except (ImportError, OSError):
+            yield
+            return
+        try:
+            with contextlib.suppress(OSError):
+                fcntl.flock(handle.fileno(), fcntl.LOCK_EX)
+            yield
+        finally:
+            with contextlib.suppress(OSError):
+                fcntl.flock(handle.fileno(), fcntl.LOCK_UN)
+            handle.close()
+
+
+class CodexAuthError(Exception):
+    def __init__(self, code: str, message: str | None = None) -> None:
+        self.code = code
+        super().__init__(message or code)
+
+
+class CodexContentGuardrailError(Exception):
+    """The ChatGPT backend refused a request via its content guardrail.
+    Terminal — retrying identical content never clears the block."""
+
+    def __init__(self, model: str, original: BaseException | None = None) -> None:
+        self.model = model
+        self.original = original
+        super().__init__(
+            f"'{model}' was blocked by ChatGPT's content guardrails "
+            f"(flagged as a possible cybersecurity risk). "
+            f"Set STRIX_LLM to a model that isn't blocked and re-run."
+        )
+
+
+_GUARDRAIL_MARKERS = (
+    "flagged for possible cybersecurity risk",
+    "trusted access for cyber",
+)
+
+
+def is_content_guardrail_error(exc: BaseException) -> bool:
+    if isinstance(exc, CodexContentGuardrailError):
+        return True
+    text = str(exc).lower()
+    return any(marker in text for marker in _GUARDRAIL_MARKERS)
+
+
+def _b64url(raw: bytes) -> str:
+    return base64.urlsafe_b64encode(raw).rstrip(b"=").decode("ascii")
+
+
+def generate_pkce() -> tuple[str, str]:
+    verifier = _b64url(secrets.token_bytes(64))
+    challenge = _b64url(hashlib.sha256(verifier.encode("ascii")).digest())
+    return verifier, challenge
+
+
+def create_state() -> str:
+    return secrets.token_hex(16)
+
+
+def build_authorize_url(challenge: str, state: str) -> str:
+    params = {
+        "response_type": "code",
+        "client_id": CLIENT_ID,
+        "redirect_uri": REDIRECT_URI,
+        "scope": SCOPE,
+        "code_challenge": challenge,
+        "code_challenge_method": "S256",
+        "state": state,
+        "id_token_add_organizations": "true",
+        "codex_cli_simplified_flow": "true",
+        "originator": ORIGINATOR,
+    }
+    return f"{AUTHORIZE_URL}?{urllib.parse.urlencode(params)}"
+
+
+def parse_redirect_input(value: str) -> tuple[str | None, str | None]:
+    """Extract ``(code, state)`` from a pasted redirect URL, ``code#state``,
+    query string, or bare code."""
+    value = (value or "").strip()
+    if not value:
+        return None, None
+    with contextlib.suppress(ValueError):
+        parsed = urllib.parse.urlparse(value)
+        if parsed.scheme and parsed.query:
+            query = urllib.parse.parse_qs(parsed.query)
+            return _first(query, "code"), _first(query, "state")
+    if "#" in value:
+        code, _, state = value.partition("#")
+        return code or None, state or None
+    if "code=" in value:
+        query = urllib.parse.parse_qs(value)
+        return _first(query, "code"), _first(query, "state")
+    return value, None
+
+
+def _first(query: dict[str, list[str]], key: str) -> str | None:
+    values = query.get(key)
+    return values[0] if values else None
+
+
+def _post_form(payload: dict[str, str]) -> dict[str, Any]:
+    body = urllib.parse.urlencode(payload).encode("ascii")
+    request = urllib.request.Request(  # noqa: S310 - fixed https OAuth endpoint
+        TOKEN_URL,
+        data=body,
+        headers={
+            "Content-Type": "application/x-www-form-urlencoded",
+            "Accept": "application/json",
+        },
+        method="POST",
+    )
+    try:
+        with urllib.request.urlopen(  # noqa: S310  # nosec B310 - fixed https endpoint
+            request, timeout=_TOKEN_TIMEOUT
+        ) as response:
+            data = json.loads(response.read() or b"{}")
+    except urllib.error.HTTPError as exc:
+        detail = exc.read().decode("utf-8", "replace")[:300]
+        raise CodexAuthError("token_http_error", f"HTTP {exc.code}: {detail}") from exc
+    except (urllib.error.URLError, TimeoutError, OSError) as exc:
+        raise CodexAuthError("unavailable", str(exc)) from exc
+    if not isinstance(data, dict):
+        raise CodexAuthError("bad_response", "token endpoint returned non-object")
+    return data
+
+
+def _record_from_token_response(
+    data: dict[str, Any], refresh_fallback: str | None = None
+) -> dict[str, Any]:
+    access = data.get("access_token")
+    # A refresh response may omit refresh_token when it isn't rotated; keep the old one.
+    refresh = data.get("refresh_token") or refresh_fallback
+    expires_in = data.get("expires_in")
+    if not isinstance(access, str) or not access:
+        raise CodexAuthError("bad_response", "token response missing access_token")
+    if not isinstance(refresh, str) or not refresh:
+        raise CodexAuthError("bad_response", "token response missing refresh_token")
+    account_id = _account_id_from_jwt(access) or _account_id_from_jwt(
+        data.get("id_token") if isinstance(data.get("id_token"), str) else ""
+    )
+    if not account_id:
+        raise CodexAuthError("no_account_id", "could not read chatgpt_account_id from token")
+    ttl = expires_in if isinstance(expires_in, int | float) else 3600
+    return {
+        "type": "oauth",
+        "provider": PROVIDER,
+        "access": access,
+        "refresh": refresh,
+        "account_id": account_id,
+        "expires_at": time.time() + ttl,
+    }
+
+
+def exchange_code(code: str, verifier: str) -> dict[str, Any]:
+    data = _post_form(
+        {
+            "grant_type": "authorization_code",
+            "client_id": CLIENT_ID,
+            "code": code,
+            "code_verifier": verifier,
+            "redirect_uri": REDIRECT_URI,
+        }
+    )
+    return _record_from_token_response(data)
+
+
+def refresh_tokens(refresh_token: str) -> dict[str, Any]:
+    data = _post_form(
+        {
+            "grant_type": "refresh_token",
+            "client_id": CLIENT_ID,
+            "refresh_token": refresh_token,
+        }
+    )
+    return _record_from_token_response(data, refresh_fallback=refresh_token)
+
+
+def _account_id_from_jwt(token: str | None) -> str | None:
+    """Read the account id claim without verifying the JWT (the server enforces
+    authenticity on use); it feeds the ``chatgpt-account-id`` header."""
+    if not token or token.count(".") != 2:
+        return None
+    payload_b64 = token.split(".")[1]
+    padding = "=" * (-len(payload_b64) % 4)
+    try:
+        payload = json.loads(base64.urlsafe_b64decode(payload_b64 + padding))
+    except (ValueError, json.JSONDecodeError):
+        return None
+    if not isinstance(payload, dict):
+        return None
+    auth = payload.get(_ACCOUNT_CLAIM)
+    if isinstance(auth, dict):
+        account_id = auth.get("chatgpt_account_id")
+        if isinstance(account_id, str) and account_id:
+            return account_id
+    organizations = payload.get("organizations")
+    if isinstance(organizations, list) and organizations and isinstance(organizations[0], dict):
+        org_id = organizations[0].get("id")
+        if isinstance(org_id, str) and org_id:
+            return org_id
+    return None
+
+
+def _near_expiry(record: dict[str, Any]) -> bool:
+    expires_at = record.get("expires_at")
+    if not isinstance(expires_at, int | float):
+        return True
+    return expires_at - _EXPIRY_SKEW_S <= time.time()
+
+
+def get_valid_token() -> tuple[str, str]:
+    """Return ``(access_token, account_id)``, refreshing under the cross-process
+    guard if near expiry."""
+    record = read_record()
+    if record is None:
+        raise CodexAuthError("not_authenticated", "not signed in; run: strix auth login")
+    if not _near_expiry(record):
+        return record["access"], record["account_id"]
+    with _refresh_guard():
+        record = read_record()
+        if record is None:
+            raise CodexAuthError("not_authenticated", "not signed in; run: strix auth login")
+        if not _near_expiry(record):
+            return record["access"], record["account_id"]
+        try:
+            refreshed = refresh_tokens(record["refresh"])
+        except CodexAuthError:
+            # A peer process may have already spent this single-use refresh token.
+            latest = read_record()
+            if latest and latest["refresh"] != record["refresh"] and not _near_expiry(latest):
+                return latest["access"], latest["account_id"]
+            raise
+        save_record(refreshed)
+        return refreshed["access"], refreshed["account_id"]
+
+
+def build_openai_client() -> AsyncOpenAI:
+    """An ``AsyncOpenAI`` for the ChatGPT backend. A per-request hook re-stamps a
+    fresh bearer token so long scans survive token expiry."""
+    import asyncio
+
+    import httpx
+    from openai import AsyncOpenAI
+
+    get_valid_token()  # fail fast at configure time if the sign-in is dead
+
+    async def _auth_hook(request: httpx.Request) -> None:
+        access, account_id = await asyncio.to_thread(get_valid_token)
+        request.headers["Authorization"] = f"Bearer {access}"
+        request.headers["chatgpt-account-id"] = account_id
+
+    http_client = httpx.AsyncClient(
+        timeout=httpx.Timeout(600.0, connect=30.0),
+        event_hooks={"request": [_auth_hook]},
+    )
+    return AsyncOpenAI(
+        api_key="strix-codex-oauth",  # placeholder; the hook overwrites Authorization
+        base_url=CODEX_BASE_URL,
+        http_client=http_client,
+        default_headers={
+            "OpenAI-Beta": "responses=experimental",
+            "originator": ORIGINATOR,
+        },
+    )
+
+
+_subscription_client: AsyncOpenAI | None = None
+
+
+def get_subscription_client() -> AsyncOpenAI:
+    global _subscription_client  # noqa: PLW0603
+    if _subscription_client is None:
+        _subscription_client = build_openai_client()
+    return _subscription_client
+
+
+SUBSCRIPTION_PREFIX = "chatgpt/"
+
+
+def subscription_model(model_name: str | None) -> str | None:
+    """The model slug behind a ``chatgpt/<model>`` STRIX_LLM, or None."""
+    name = (model_name or "").strip()
+    if not name.lower().startswith(SUBSCRIPTION_PREFIX):
+        return None
+    return name[len(SUBSCRIPTION_PREFIX) :] or None
+
+
+def auth_mode(model_name: str | None) -> str:
+    return "subscription" if subscription_model(model_name) else "api_key"
diff --git a/strix/config/models.py b/strix/config/models.py
index 0ce107f5..38234d97 100644
--- a/strix/config/models.py
+++ b/strix/config/models.py
@@ -2,23 +2,38 @@
 
 from __future__ import annotations
 
+import contextlib
+import inspect
 import os
-from typing import TYPE_CHECKING
+from typing import TYPE_CHECKING, Any
 
-from agents import set_default_openai_api, set_default_openai_key, set_tracing_disabled
+from agents import (
+    set_default_openai_api,
+    set_default_openai_key,
+    set_tracing_disabled,
+)
+from agents.model_settings import ModelSettings
 from agents.models.multi_provider import MultiProvider
+from agents.models.openai_responses import OpenAIResponsesModel
 from agents.retry import (
     ModelRetryBackoffSettings,
     ModelRetrySettings,
     RetryPolicyContext,
     retry_policies,
 )
+from openai.types.shared import Reasoning
+
+from strix.config import codex
+from strix.config.loader import load_settings
 
 
 if TYPE_CHECKING:
-    from agents.models.interface import ModelProvider
+    from collections.abc import AsyncIterator
 
-    from strix.config.settings import Settings
+    from agents.models.interface import Model, ModelProvider
+    from openai import AsyncOpenAI
+
+    from strix.config.settings import ReasoningEffort, Settings
 
 
 def request_timeout_extra_args(timeout_s: float | None) -> dict[str, float] | None:
@@ -33,9 +48,93 @@ def _retry_statusless_provider_errors(context: RetryPolicyContext) -> bool:
     normalized = context.normalized
     if normalized.is_abort:
         return False
+    if codex.is_content_guardrail_error(context.error):
+        return False
     return normalized.status_code is None
 
 
+class _CodexResponsesModel(OpenAIResponsesModel):
+    """Responses model for the ChatGPT subscription backend (always streamed, stateless)."""
+
+    def __init__(
+        self,
+        model: str,
+        openai_client: AsyncOpenAI,
+        *,
+        reasoning_effort: ReasoningEffort | None = None,
+    ) -> None:
+        super().__init__(model, openai_client)
+        self._reasoning_effort = reasoning_effort
+
+    def _codex_settings(self, model_settings: ModelSettings) -> ModelSettings:
+        overrides = ModelSettings(store=False, response_include=["reasoning.encrypted_content"])
+        effort = self._reasoning_effort
+        if effort and effort != "none":
+            # Clamp to efforts the backend accepts.
+            if effort == "minimal":
+                effort = "low"
+            elif effort == "xhigh":
+                effort = "high"
+            overrides = overrides.resolve(ModelSettings(reasoning=Reasoning(effort=effort)))
+        return model_settings.resolve(overrides)
+
+    async def _fetch_response(self, *args: Any, stream: bool = False, **kwargs: Any) -> Any:
+        if len(args) >= 3:  # model_settings is positional arg 2
+            args = (*args[:2], self._codex_settings(args[2]), *args[3:])
+        try:
+            events = await super()._fetch_response(*args, stream=True, **kwargs)  # type: ignore[call-overload]
+        except Exception as exc:
+            guardrail = self._as_guardrail(exc)
+            if guardrail is not None:
+                raise guardrail from exc
+            raise
+        guarded = self._guarded(events)
+        if stream:
+            return guarded
+        final_response = None
+        async for event in guarded:
+            if getattr(event, "type", None) == "response.completed":
+                final_response = event.response
+        if final_response is None:
+            msg = "ChatGPT backend stream ended without a completed response"
+            raise RuntimeError(msg)
+        return final_response
+
+    def _as_guardrail(self, exc: BaseException) -> codex.CodexContentGuardrailError | None:
+        if isinstance(exc, codex.CodexContentGuardrailError):
+            return exc
+        if codex.is_content_guardrail_error(exc):
+            return codex.CodexContentGuardrailError(self.model, exc)
+        return None
+
+    async def _guarded(self, events: Any) -> AsyncIterator[Any]:
+        """Convert mid-stream guardrail rejections and close the stream on exit."""
+        try:
+            async for event in events:
+                yield event
+        except Exception as exc:
+            guardrail = self._as_guardrail(exc)
+            if guardrail is not None:
+                raise guardrail from exc
+            raise
+        finally:
+            await self._aclose(events)
+
+    @staticmethod
+    async def _aclose(events: Any) -> None:
+        aclose = getattr(events, "aclose", None)
+        if callable(aclose):
+            with contextlib.suppress(Exception):
+                await aclose()
+            return
+        close = getattr(events, "close", None)
+        if callable(close):
+            with contextlib.suppress(Exception):
+                result = close()
+                if inspect.isawaitable(result):
+                    await result
+
+
 class StrixProvider(MultiProvider):
     """Route any non-OpenAI prefix through LiteLLM with the prefix preserved,
     so users type ``deepseek/deepseek-chat`` rather than
@@ -59,6 +158,16 @@ class StrixProvider(MultiProvider):
             return self._get_fallback_provider("litellm"), f"ollama_chat/{stripped_model_name}"
         return self._get_fallback_provider("litellm"), original_model_name
 
+    def get_model(self, model_name: str | None) -> Model:
+        slug = codex.subscription_model(model_name)
+        if slug:
+            return _CodexResponsesModel(
+                slug,
+                codex.get_subscription_client(),
+                reasoning_effort=load_settings().llm.reasoning_effort,
+            )
+        return super().get_model(model_name)
+
 
 DEFAULT_MODEL_RETRY = ModelRetrySettings(
     max_retries=5,
@@ -77,39 +186,42 @@ DEFAULT_MODEL_RETRY = ModelRetrySettings(
 )
 
 RECOMMENDED_MODEL_NAMES = (
-    "openai/gpt-5.6",
     "openai/gpt-5.6-sol",
     "openai/gpt-5.6-terra",
-    "openai/gpt-5.5",
+    "openai/gpt-5.6-luna",
+    "openai/gpt-5.6",
     "openai/gpt-5.5-pro",
+    "openai/gpt-5.5",
     "openai/gpt-5.4",
     "openai/gpt-5.3-codex",
     "anthropic/claude-fable-5",
+    "anthropic/claude-opus-5",
     "anthropic/claude-opus-4-8",
-    "anthropic/claude-opus-4-7",
     "anthropic/claude-sonnet-5",
     "anthropic/claude-sonnet-4-6",
     "vertex_ai/gemini-3.1-pro-preview",
     "gemini/gemini-3.1-pro-preview",
+    "gemini/gemini-3.6-flash",
     "deepseek/deepseek-v4-pro",
     "deepseek/deepseek-v4-flash",
+    "dashscope/qwen3.8-max",
     "dashscope/qwen3.7-max-2026-06-08",
+    "moonshot/kimi-k3",
     "moonshot/kimi-k2.7-code",
-    "moonshot/kimi-k2.6",
 )
 
 _RECOMMENDED_MODEL_NAME_SET = frozenset(name.lower() for name in RECOMMENDED_MODEL_NAMES)
 
 FRONTIER_MODEL_FAMILIES = (
-    (("azure", "azure_ai", "bedrock_mantle", "openai"), ("gpt-5",)),
+    (("azure", "azure_ai", "bedrock_mantle", "chatgpt", "openai"), ("gpt-5",)),
     (
         ("anthropic", "azure_ai", "bedrock", "claude", "databricks", "snowflake", "vertex_ai"),
-        ("claude-fable-5", "claude-opus-4", "claude-sonnet-5", "claude-sonnet-4"),
+        ("claude-fable-5", "claude-opus-5", "claude-opus-4", "claude-sonnet-5", "claude-sonnet-4"),
     ),
     (("google", "gemini", "vertex_ai"), ("gemini-3",)),
     (("deepseek",), ("deepseek-v4", "deepseek-r1", "deepseek-reasoner")),
-    (("alibaba", "dashscope", "qwen"), ("qwen3.7", "qwen3.5", "qwen3-max")),
-    (("moonshot", "moonshotai", "kimi"), ("kimi-k2.7", "kimi-k2.6", "kimi-k2.5")),
+    (("alibaba", "dashscope", "qwen"), ("qwen3.8", "qwen3.7", "qwen3-max")),
+    (("moonshot", "moonshotai", "kimi"), ("kimi-k3", "kimi-k2.7", "kimi-k2.6")),
 )
 
 
@@ -117,6 +229,8 @@ def configure_sdk_model_defaults(settings: Settings) -> None:
     """Apply Strix config to SDK-native defaults."""
     llm = settings.llm
     set_tracing_disabled(True)
+    if codex.subscription_model(llm.model):
+        return
     _configure_litellm_compatibility()
     _configure_openrouter_attribution(llm.model)
     if llm.api_key:
@@ -211,6 +325,8 @@ def _configure_litellm_default(name: str, value: str) -> None:
 
 def uses_chat_completions_tool_schema(model_name: str, settings: Settings) -> bool:
     """Return whether the resolved SDK route can only receive JSON function tools."""
+    if codex.subscription_model(model_name):
+        return False
     model = model_name.strip().lower()
     if "/" in model and not model.startswith("openai/"):
         return True
diff --git a/strix/core/agents.py b/strix/core/agents.py
index 5cb48d2f..c08b24d6 100644
--- a/strix/core/agents.py
+++ b/strix/core/agents.py
@@ -41,6 +41,7 @@ class AgentCoordinator:
         self.names: dict[str, str] = {}
         self.metadata: dict[str, dict[str, Any]] = {}
         self.pending_counts: dict[str, int] = {}
+        self.errors: dict[str, str] = {}
         self.runtimes: dict[str, AgentRuntime] = {}
         self._lock = asyncio.Lock()
         self._snapshot_path: Path | None = None
@@ -107,16 +108,23 @@ class AgentCoordinator:
         async with self._lock:
             if agent_id in self.statuses:
                 self.statuses[agent_id] = "running"
+                self.errors.pop(agent_id, None)
         await self._maybe_snapshot()
 
     async def park_waiting(self, agent_id: str) -> None:
         await self.set_status(agent_id, "waiting")
 
-    async def set_status(self, agent_id: str, status: Status | str) -> None:
+    async def set_status(
+        self, agent_id: str, status: Status | str, *, error: str | None = None
+    ) -> None:
         async with self._lock:
             if agent_id not in self.statuses:
                 return
             self.statuses[agent_id] = status  # type: ignore[assignment]
+            if error is not None:
+                self.errors[agent_id] = error
+            elif status == "running":
+                self.errors.pop(agent_id, None)
             runtime = self.runtimes.setdefault(agent_id, AgentRuntime())
             runtime.wake.set()
         logger.info("agent.status %s=%s", agent_id, status)
@@ -246,9 +254,14 @@ class AgentCoordinator:
 
     async def graph_snapshot(
         self,
-    ) -> tuple[dict[str, str | None], dict[str, Status], dict[str, str]]:
+    ) -> tuple[dict[str, str | None], dict[str, Status], dict[str, str], dict[str, str]]:
         async with self._lock:
-            return dict(self.parent_of), dict(self.statuses), dict(self.names)
+            return (
+                dict(self.parent_of),
+                dict(self.statuses),
+                dict(self.names),
+                dict(self.errors),
+            )
 
     def _message_to_session_item(self, message: dict[str, Any]) -> TResponseInputItem:
         sender = str(message.get("from", "unknown"))
@@ -286,6 +299,7 @@ class AgentCoordinator:
                 "names": dict(self.names),
                 "metadata": {aid: dict(md) for aid, md in self.metadata.items()},
                 "pending_counts": dict(self.pending_counts),
+                "errors": dict(self.errors),
             }
 
     async def restore(self, snap: dict[str, Any]) -> None:
@@ -295,6 +309,7 @@ class AgentCoordinator:
             self.names = dict(snap.get("names", {}))
             self.metadata = {aid: dict(md) for aid, md in snap.get("metadata", {}).items()}
             self.pending_counts = dict(snap.get("pending_counts", {}))
+            self.errors = dict(snap.get("errors", {}))
             for aid in self.statuses:
                 self.runtimes.setdefault(aid, AgentRuntime())
 
diff --git a/strix/core/execution.py b/strix/core/execution.py
index d26486de..f7cf3759 100644
--- a/strix/core/execution.py
+++ b/strix/core/execution.py
@@ -437,10 +437,8 @@ async def _run_cycle(  # noqa: PLR0912, PLR0915
             else:
                 status = "crashed"
             logger.exception("agent run failed for %s; parking as %s", agent_id, status)
-            await coordinator.set_status(agent_id, status)
+            await coordinator.set_status(agent_id, status, error=str(exc) or type(exc).__name__)
             await _notify_parent_on_crash(coordinator, agent_id, status)
-            if context.get("parent_id") is None and status in {"failed", "crashed"}:
-                raise
             return None
         else:
             await _settle_run_result(coordinator, agent_id, interactive)
diff --git a/strix/interface/auth_cli.py b/strix/interface/auth_cli.py
new file mode 100644
index 00000000..51e6b9fe
--- /dev/null
+++ b/strix/interface/auth_cli.py
@@ -0,0 +1,419 @@
+"""`strix auth` — ChatGPT subscription sign-in (login / status / logout).
+
+Signing in only stores OAuth tokens (``~/.strix/subscription-auth.json``); model
+selection stays with ``STRIX_LLM``. A ``chatgpt/<model>`` STRIX_LLM runs on the
+subscription.
+"""
+
+from __future__ import annotations
+
+import argparse
+import base64
+import logging
+import threading
+import webbrowser
+from http.server import BaseHTTPRequestHandler, HTTPServer
+from pathlib import Path
+from typing import TYPE_CHECKING, Any
+from urllib.parse import parse_qs, urlparse
+
+from rich.console import Console
+from rich.panel import Panel
+from rich.text import Text
+
+from strix.config import codex, load_settings
+
+
+if TYPE_CHECKING:
+    from collections.abc import Callable
+
+
+logger = logging.getLogger(__name__)
+
+_CALLBACK_TIMEOUT_S = 300
+
+# CLI-facing name for the login provider. Internally this is the Codex OAuth
+# flow (``codex.PROVIDER``), but users know it as ChatGPT, so that's what the
+# command and messaging say. ``codex`` is accepted as an alias.
+LOGIN_PROVIDER = "chatgpt"
+_ACCEPTED_PROVIDERS = frozenset({LOGIN_PROVIDER, codex.PROVIDER})
+
+_USAGE = "Usage:\n  strix auth login chatgpt [--manual]\n  strix auth status\n  strix auth logout"
+
+
+def run_auth(argv: list[str]) -> int:
+    """Entry point for ``strix auth …``. Returns a process exit code."""
+    console = Console()
+    # Bare `strix auth` (no subcommand) defaults to login.
+    subcommand = argv[0] if argv else "login"
+    rest = argv[1:]
+
+    if subcommand in ("-h", "--help", "help"):
+        console.print(_USAGE)
+        return 0
+
+    handlers: dict[str, Callable[[], int]] = {
+        "login": lambda: _login(console, rest),
+        "status": lambda: _status(console),
+        "logout": lambda: _logout(console),
+    }
+    handler = handlers.get(subcommand)
+    if handler is not None:
+        return handler()
+
+    console.print(f"[red]Unknown auth command:[/] {subcommand}\n")
+    console.print(_USAGE)
+    return 2
+
+
+def _login(console: Console, argv: list[str]) -> int:
+    parser = argparse.ArgumentParser(prog="strix auth login", add_help=True)
+    parser.add_argument(
+        "provider",
+        nargs="?",
+        default=LOGIN_PROVIDER,
+        help="Model provider to sign in with (default: chatgpt).",
+    )
+    parser.add_argument(
+        "--manual",
+        action="store_true",
+        help="Skip the local callback server and paste the redirect URL by hand.",
+    )
+    try:
+        args = parser.parse_args(argv)
+    except SystemExit as exc:  # argparse already printed the message
+        return int(exc.code or 2)
+
+    if args.provider.lower() not in _ACCEPTED_PROVIDERS:
+        console.print(
+            f"[red]Unsupported provider:[/] {args.provider}. "
+            f"Only '{LOGIN_PROVIDER}' (ChatGPT subscription) is supported."
+        )
+        return 2
+
+    verifier, challenge = codex.generate_pkce()
+    state = codex.create_state()
+    authorize_url = codex.build_authorize_url(challenge, state)
+
+    console.print()
+    console.print("[bold]Signing in with ChatGPT[/] [dim](provider: chatgpt)[/]")
+    console.print(
+        "[dim]This uses your ChatGPT Plus/Pro plan for inference instead of a metered API key.[/]"
+    )
+    console.print()
+
+    try:
+        record = _run_oauth_flow(console, authorize_url, verifier, state, manual=args.manual)
+    except codex.CodexAuthError as exc:
+        return _fail(console, exc)
+    except KeyboardInterrupt:
+        console.print("\n[yellow]Sign-in cancelled.[/]")
+        return 130
+
+    codex.save_record(record)
+    _print_success(console)
+    return 0
+
+
+def _run_oauth_flow(
+    console: Console,
+    authorize_url: str,
+    verifier: str,
+    state: str,
+    *,
+    manual: bool,
+) -> dict[str, Any]:
+    """Drive the browser (or manual) OAuth flow and return a token record."""
+    server = None if manual else _try_start_callback_server()
+
+    console.print("Open this URL in your browser to authorize:")
+    console.print(f"[cyan]{authorize_url}[/]")
+    console.print()
+    if not manual:
+        try:
+            webbrowser.open(authorize_url)
+        except Exception:  # noqa: BLE001 - opening a browser is best-effort
+            logger.debug("could not open browser", exc_info=True)
+
+    if server is not None:
+        console.print("[dim]Waiting for you to finish signing in…[/]")
+        result = server.wait(_CALLBACK_TIMEOUT_S)
+        server.shutdown()
+        if result is not None:
+            code, returned_state, error = result
+            if error:
+                raise codex.CodexAuthError("oauth_error", error)
+            return _finish(code, returned_state, verifier, state, require_state=True)
+        console.print("[yellow]Timed out waiting for the browser. Falling back to manual paste.[/]")
+
+    # Manual fallback: the user completes sign-in and pastes the redirect URL
+    # (the browser lands on a localhost page that won't load if no server is up;
+    # the address bar still holds the code+state).
+    console.print()
+    try:
+        pasted = console.input("Paste the full redirect URL (or code#state): ").strip()
+    except EOFError as exc:
+        raise codex.CodexAuthError("no_input", "no redirect URL provided") from exc
+    code, returned_state = codex.parse_redirect_input(pasted)
+    return _finish(code, returned_state, verifier, state, require_state=False)
+
+
+def _finish(
+    code: str | None,
+    returned_state: str | None,
+    verifier: str,
+    expected_state: str,
+    *,
+    require_state: bool,
+) -> dict[str, Any]:
+    if not code:
+        raise codex.CodexAuthError("no_code", "no authorization code found in the redirect")
+    # The loopback callback from OpenAI always carries state, so a missing or
+    # mismatched value there is forged (CSRF) and must be rejected. Manual paste
+    # is user-initiated (the user copies their own redirect), so state is only
+    # validated when the pasted value includes it.
+    if require_state and returned_state is None:
+        raise codex.CodexAuthError("state_mismatch", "missing state in callback; possible CSRF")
+    if returned_state is not None and returned_state != expected_state:
+        raise codex.CodexAuthError("state_mismatch", "state did not match; possible CSRF")
+    return codex.exchange_code(code, verifier)
+
+
+class _CallbackServer:
+    """A one-shot local HTTP server that catches the OAuth redirect."""
+
+    def __init__(self, httpd: HTTPServer, event: threading.Event, holder: dict[str, Any]) -> None:
+        self._httpd = httpd
+        self._event = event
+        self._holder = holder
+        self._thread = threading.Thread(target=httpd.serve_forever, daemon=True)
+        self._thread.start()
+
+    def wait(self, timeout: float) -> tuple[str | None, str | None, str | None] | None:
+        if not self._event.wait(timeout):
+            return None
+        return (
+            self._holder.get("code"),
+            self._holder.get("state"),
+            self._holder.get("error"),
+        )
+
+    def shutdown(self) -> None:
+        self._httpd.shutdown()
+        self._httpd.server_close()
+
+
+def _try_start_callback_server() -> _CallbackServer | None:
+    event = threading.Event()
+    holder: dict[str, Any] = {}
+
+    class Handler(BaseHTTPRequestHandler):
+        def log_message(self, *args: Any) -> None:  # silence default stderr logging
+            pass
+
+        def do_GET(self) -> None:
+            parsed = urlparse(self.path)
+            if parsed.path != codex.CALLBACK_PATH:
+                self.send_response(404)
+                self.end_headers()
+                return
+            query = parse_qs(parsed.query)
+            holder["code"] = _first(query, "code")
+            holder["state"] = _first(query, "state")
+            holder["error"] = _first(query, "error_description") or _first(query, "error")
+            body = _render_callback_html().encode("utf-8")
+            self.send_response(200)
+            self.send_header("Content-Type", "text/html; charset=utf-8")
+            self.send_header("Content-Length", str(len(body)))
+            self.end_headers()
+            self.wfile.write(body)
+            event.set()
+
+    try:
+        httpd = HTTPServer(("127.0.0.1", codex.CALLBACK_PORT), Handler)
+    except OSError:
+        logger.debug("could not bind callback port %d", codex.CALLBACK_PORT, exc_info=True)
+        return None
+    return _CallbackServer(httpd, event, holder)
+
+
+def _first(query: dict[str, list[str]], key: str) -> str | None:
+    values = query.get(key)
+    return values[0] if values else None
+
+
+def _status(console: Console) -> int:
+    record = codex.read_record()
+    if record is None:
+        console.print("[yellow]Not signed in.[/] Run [cyan]strix auth login chatgpt[/] to sign in.")
+        return 1
+    settings = load_settings()
+    console.print("[green]Signed in[/] with a ChatGPT subscription.")
+    console.print(f"  Account: [bold]{record.get('account_id')}[/]")
+    if codex.subscription_model(settings.llm.model):
+        console.print(f"  Runs use the subscription (STRIX_LLM=[bold]{settings.llm.model}[/]).")
+    else:
+        console.print(
+            "  [yellow]Note:[/] set [cyan]STRIX_LLM[/] to e.g. [cyan]chatgpt/gpt-5.4[/] "
+            "to run on the subscription."
+        )
+    return 0
+
+
+def _logout(console: Console) -> int:
+    codex.logout()
+    console.print("[green]Signed out.[/] Stored subscription credentials removed.")
+    return 0
+
+
+def _fail(console: Console, exc: codex.CodexAuthError) -> int:
+    error_text = Text()
+    error_text.append("SIGN-IN FAILED", style="bold red")
+    error_text.append("\n\n", style="white")
+    error_text.append(f"{exc}", style="white")
+    console.print()
+    console.print(
+        Panel(
+            error_text,
+            title="[bold white]STRIX",
+            title_align="left",
+            border_style="red",
+            padding=(1, 2),
+        )
+    )
+    return 1
+
+
+def _print_success(console: Console) -> None:
+    text = Text()
+    text.append("Signed in with your ChatGPT subscription", style="bold #22c55e")
+    text.append("\n\n", style="white")
+    text.append("Set ", style="white")
+    text.append("STRIX_LLM", style="bold white")
+    text.append(" to a ", style="white")
+    text.append("chatgpt/", style="bold cyan")
+    text.append(" model (e.g. ", style="white")
+    text.append("chatgpt/gpt-5.4", style="bold cyan")
+    text.append(") — runs are billed to your ChatGPT plan.", style="white")
+    text.append("\n\n", style="white")
+    text.append("Run a scan as usual, e.g. ", style="white")
+    text.append("strix --target https://example.com", style="bold cyan")
+    console.print()
+    console.print(
+        Panel(
+            text,
+            title="[bold white]STRIX",
+            title_align="left",
+            border_style="#22c55e",
+            padding=(1, 2),
+        )
+    )
+    console.print()
+
+
+_LOGO_PATH = Path(__file__).resolve().parent.parent / "viewer" / "static" / "logo.png"
+
+
+def _logo_img_tag() -> str:
+    """Return an ``<img>`` for the Strix logo as an inline data URI, or "".
+
+    The callback page is served offline by the local OAuth server, so the logo
+    is embedded rather than linked. Missing/unreadable file degrades to just the
+    "Strix" wordmark.
+    """
+    try:
+        data = _LOGO_PATH.read_bytes()
+    except OSError:
+        return ""
+    encoded = base64.b64encode(data).decode("ascii")
+    return f'<img class="logo" src="data:image/png;base64,{encoded}" alt="" />'
+
+
+def _render_callback_html() -> str:
+    return _CALLBACK_HTML.replace("<!--LOGO-->", _logo_img_tag())
+
+
+_CALLBACK_HTML = """<!doctype html>
+<html lang="en"><head><meta charset="utf-8">
+<meta name="viewport" content="width=device-width, initial-scale=1">
+<title>Strix — signed in</title>
+<style>
+  :root { color-scheme: dark; }
+  * { box-sizing: border-box; }
+  body {
+    margin: 0; min-height: 100vh; padding: 24px;
+    font-family: 'Geist', 'Geist Sans', ui-sans-serif, system-ui, -apple-system,
+      "Segoe UI", Roboto, Helvetica, Arial, sans-serif;
+    -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale;
+    background: #000; color: #ededed;
+    display: flex; flex-direction: column; align-items: center; justify-content: center;
+  }
+  .topbar {
+    position: absolute; top: 20px; left: 22px;
+    display: flex; align-items: center; gap: 6px; text-decoration: none;
+  }
+  .topbar .logo { width: 40px; height: 40px; display: block; }
+  .topbar span {
+    font-size: 1.1rem; font-weight: 600; letter-spacing: -.01em; color: #fff;
+    transition: color .15s ease;
+  }
+  .topbar:hover span { color: #c9c9c9; }
+  .brand {
+    font-size: 2.1rem; font-weight: 700; letter-spacing: -.02em; color: #fff;
+    text-align: center; margin: 0 0 10px;
+  }
+  h1 {
+    font-size: 1.35rem; font-weight: 600; letter-spacing: -.01em; color: #f5f5f5;
+    text-align: center; margin: 0 0 28px;
+  }
+  .card {
+    width: 100%; max-width: 430px; text-align: center;
+    background: #171717; border: 1px solid rgba(255, 255, 255, .06);
+    border-radius: 24px; padding: 40px 40px 34px;
+  }
+  .badge {
+    margin: 0 auto 22px; width: 52px; height: 52px; border-radius: 50%;
+    display: flex; align-items: center; justify-content: center; font-size: 23px; color: #fff;
+    background: rgba(255, 255, 255, .05); border: 1px solid rgba(255, 255, 255, .14);
+  }
+  .msg { margin: 0 auto; max-width: 34ch; color: #b5b5b5; line-height: 1.6; font-size: .98rem; }
+  .rule { height: 1px; background: rgba(255, 255, 255, .07); margin: 26px 0 0; }
+  .tagline { margin: 22px 0 0; color: #7c7c7c; font-size: .9rem; line-height: 1.55; }
+  .tagline b { color: #ededed; font-weight: 500; }
+  .links {
+    margin-top: 18px; display: flex; gap: 8px; justify-content: center;
+    align-items: center; flex-wrap: wrap; font-size: .84rem;
+  }
+  .links a { color: #a3a3a3; text-decoration: none; transition: color .15s ease; }
+  .links a:hover { color: #fff; }
+  .links .dot { color: #3a3a3a; }
+  .close { margin: 24px 0 0; color: #5a5a5a; font-size: .78rem; text-align: center; }
+</style></head>
+<body>
+  <a class="topbar" href="https://strix.ai" target="_blank" rel="noopener"
+     aria-label="Strix — strix.ai">
+    <!--LOGO-->
+    <span>Strix</span>
+  </a>
+  <div class="brand">Strix</div>
+  <h1>You're signed in</h1>
+  <main class="card">
+    <div class="badge">✓</div>
+    <p class="msg">Strix is connected to your ChatGPT subscription. Head back to your
+      terminal — your security test runs there.</p>
+    <div class="rule"></div>
+    <p class="tagline">Autonomous AI hackers that <b>find and fix</b> your app's
+      vulnerabilities.</p>
+    <nav class="links">
+      <a href="https://strix.ai" target="_blank" rel="noopener">strix.ai</a>
+      <span class="dot">·</span>
+      <a href="https://docs.strix.ai" target="_blank" rel="noopener">docs</a>
+      <span class="dot">·</span>
+      <a href="https://discord.gg/strix-ai" target="_blank" rel="noopener">community</a>
+    </nav>
+  </main>
+  <p class="close">You can close this tab.</p>
+</body></html>"""
+
+
+__all__ = ["run_auth"]
diff --git a/strix/interface/main.py b/strix/interface/main.py
index b52be0fc..39b48041 100644
--- a/strix/interface/main.py
+++ b/strix/interface/main.py
@@ -20,6 +20,7 @@ from rich.text import Text
 
 from strix.config import (
     apply_config_override,
+    codex,
     load_settings,
     persist_current,
 )
@@ -92,6 +93,16 @@ def validate_environment() -> None:
 
     settings = load_settings()
 
+    if codex.subscription_model(settings.llm.model):
+        if not codex.is_authenticated():
+            console.print(
+                f"[red]STRIX_LLM={settings.llm.model} uses your ChatGPT subscription, "
+                "but you're not signed in.[/] Run [cyan]strix auth login chatgpt[/] first."
+            )
+            sys.exit(1)
+        logger.info("Environment OK (ChatGPT subscription)")
+        return
+
     if not settings.llm.model:
         missing_required_vars.append("STRIX_LLM")
 
@@ -274,6 +285,29 @@ def _provider_import_hint(exc: BaseException, model: str) -> str | None:
     return None
 
 
+def _subscription_error_hint(exc: BaseException) -> str | None:
+    """Return an actionable hint for a known ChatGPT-subscription error, or None."""
+    if not codex.subscription_model(load_settings().llm.model):
+        return None
+    joined = " ".join(_exception_messages(exc)).lower()
+    if "not supported when using codex with a chatgpt account" in joined:
+        return (
+            "This model isn't available on your ChatGPT subscription. "
+            "Set STRIX_LLM to a model your plan includes (e.g. chatgpt/gpt-5.4)."
+        )
+    if (
+        "error code: 401" in joined
+        or "http 401" in joined
+        or "unauthorized" in joined
+        or "invalid_grant" in joined
+    ):
+        return (
+            "Your ChatGPT sign-in has expired or was revoked. Sign in again:\n"
+            "  strix auth login chatgpt"
+        )
+    return None
+
+
 async def warm_up_llm(show_model_warning: bool = True) -> None:
     console = Console()
     logger.info("Warming up LLM connection")
@@ -283,8 +317,8 @@ async def warm_up_llm(show_model_warning: bool = True) -> None:
         settings = load_settings()
         configure_sdk_model_defaults(settings)
         llm = settings.llm
-
         raw_model = (llm.model or "").strip()
+
         if (
             raw_model
             and "/" not in raw_model
@@ -363,20 +397,33 @@ async def warm_up_llm(show_model_warning: bool = True) -> None:
     except Exception as e:
         logger.exception("LLM warm-up failed")
         error_text = Text()
-        error_text.append("LLM CONNECTION FAILED", style="bold red")
-        error_text.append("\n\n", style="white")
-        error_text.append("Could not establish connection to the language model.\n", style="white")
-        error_text.append("Please check your configuration and try again.\n", style="white")
-        hint = _provider_import_hint(e, raw_model)
-        if hint is not None:
-            error_text.append(f"\n{hint}\n", style="bold yellow")
-        error_text.append(f"\nError: {e}", style="dim white")
+        sub_hint = _subscription_error_hint(e)
+        if sub_hint is not None:
+            # The model/backend answered with a clear, actionable rejection —
+            # show that instead of a generic "connection failed".
+            border_style = "yellow"
+            error_text.append("MODEL NOT AVAILABLE ON SUBSCRIPTION", style="bold yellow")
+            error_text.append("\n\n", style="white")
+            error_text.append(f"{sub_hint}\n", style="white")
+            error_text.append(f"\nDetails: {e}", style="dim white")
+        else:
+            border_style = "red"
+            error_text.append("LLM CONNECTION FAILED", style="bold red")
+            error_text.append("\n\n", style="white")
+            error_text.append(
+                "Could not establish connection to the language model.\n", style="white"
+            )
+            error_text.append("Please check your configuration and try again.\n", style="white")
+            hint = _provider_import_hint(e, raw_model)
+            if hint is not None:
+                error_text.append(f"\n{hint}\n", style="bold yellow")
+            error_text.append(f"\nError: {e}", style="dim white")
 
         panel = Panel(
             error_text,
             title="[bold white]STRIX",
             title_align="left",
-            border_style="red",
+            border_style=border_style,
             padding=(1, 2),
         )
 
@@ -682,6 +729,7 @@ def _persist_run_record(args: argparse.Namespace) -> None:
         "status": "running",
         "start_time": datetime.now(UTC).isoformat(),
         "end_time": None,
+        "auth_mode": codex.auth_mode(load_settings().llm.model),
         "targets_info": args.targets_info,
         "scan_mode": args.scan_mode,
         "instruction": args.instruction,
@@ -882,6 +930,13 @@ def main() -> None:
         run_view(sys.argv[2:])
         return
 
+    # `strix auth …` manages model-subscription sign-in and exits; it needs no
+    # target, Docker, or scan setup.
+    if len(sys.argv) > 1 and sys.argv[1] == "auth":
+        from strix.interface.auth_cli import run_auth
+
+        sys.exit(run_auth(sys.argv[2:]))
+
     args = parse_arguments()
 
     if args.config:
@@ -949,6 +1004,7 @@ def main() -> None:
 
     _telemetry_start_kwargs = {
         "model": load_settings().llm.model,
+        "auth_mode": codex.auth_mode(load_settings().llm.model),
         "scan_mode": args.scan_mode,
         "is_whitebox": is_whitebox_scan(args.targets_info),
         "interactive": not args.non_interactive,
diff --git a/strix/interface/tui/app.py b/strix/interface/tui/app.py
index 5f350898..e3344a65 100644
--- a/strix/interface/tui/app.py
+++ b/strix/interface/tui/app.py
@@ -802,6 +802,7 @@ class StrixTUIApp(App):  # type: ignore[misc]
         self._scan_stop_event = threading.Event()
         self._scan_completed = threading.Event()
         self._scan_error: BaseException | None = None
+        self._error_noted_agents: set[str] = set()
 
         self._spinner_frame_index: int = 0
         self._sweep_num_squares: int = 6
@@ -1015,22 +1016,32 @@ class StrixTUIApp(App):  # type: ignore[misc]
             else:
                 self._agent_graph_sync_future = None
                 try:
-                    parent_of, statuses, names = future.result()
+                    parent_of, statuses, names, errors = future.result()
                 except Exception:
                     logger.exception("TUI agent graph sync failed")
                 else:
                     for agent_id, status in statuses.items():
+                        error = errors.get(agent_id)
                         self.live_view.upsert_agent(
                             agent_id,
                             name=names.get(agent_id, agent_id),
                             parent_id=parent_of.get(agent_id),
                             status=status,
+                            error_message=error,
                         )
+                        if status in {"failed", "crashed"} and error:
+                            if agent_id not in self._error_noted_agents:
+                                self._error_noted_agents.add(agent_id)
+                                self.live_view.record_agent_error(agent_id, error)
+                        else:
+                            self._error_noted_agents.discard(agent_id)
 
         if self._scan_loop is None or self._scan_loop.is_closed():
             return
 
-        async def collect() -> tuple[dict[str, str | None], dict[str, Any], dict[str, str]]:
+        async def collect() -> tuple[
+            dict[str, str | None], dict[str, Any], dict[str, str], dict[str, str]
+        ]:
             return await self.coordinator.graph_snapshot()
 
         self._agent_graph_sync_future = asyncio.run_coroutine_threadsafe(collect(), self._scan_loop)
@@ -1049,6 +1060,7 @@ class StrixTUIApp(App):  # type: ignore[misc]
                 "waiting": "⏸",
                 "completed": "🟢",
                 "failed": "🔴",
+                "crashed": "🔴",
                 "stopped": "■",
             }
 
@@ -1234,13 +1246,12 @@ class StrixTUIApp(App):  # type: ignore[misc]
             text.append(msg)
             return (text, Text(), False)
 
-        if status == "failed":
+        if status in {"failed", "crashed"}:
             error_msg = agent_data.get("error_message", "")
             text = Text()
-            if error_msg:
-                text.append(error_msg, style="red")
-            else:
-                text.append("Scan failed", style="red")
+            text.append(error_msg or "Agent failed", style="red")
+            text.append(" · ", style="dim")
+            text.append("Send message to resume", style="dim")
             self._stop_dot_animation()
             return (text, Text(), False)
 
@@ -1539,6 +1550,7 @@ class StrixTUIApp(App):  # type: ignore[misc]
             "waiting": "⏸",
             "completed": "🟢",
             "failed": "🔴",
+            "crashed": "🔴",
             "stopped": "■",
         }
 
@@ -1584,6 +1596,7 @@ class StrixTUIApp(App):  # type: ignore[misc]
             "waiting": "⏸",
             "completed": "🟢",
             "failed": "🔴",
+            "crashed": "🔴",
             "stopped": "■",
         }
 
diff --git a/strix/interface/tui/live_view.py b/strix/interface/tui/live_view.py
index 993074d6..ec4847dc 100644
--- a/strix/interface/tui/live_view.py
+++ b/strix/interface/tui/live_view.py
@@ -86,6 +86,17 @@ class TuiLiveView:
             current["error_message"] = error_message
         current["updated_at"] = now
 
+    def record_agent_error(self, agent_id: str, error: str) -> None:
+        self._append_event(
+            agent_id,
+            "chat",
+            {
+                "role": "assistant",
+                "content": (f"An error occurred: {error}\nI'm now waiting for new instructions."),
+                "metadata": {"source": "agent_error"},
+            },
+        )
+
     def record_user_message(self, agent_id: str, content: str) -> None:
         self._append_event(
             agent_id,
diff --git a/strix/interface/utils.py b/strix/interface/utils.py
index 27c10a46..44a570d1 100644
--- a/strix/interface/utils.py
+++ b/strix/interface/utils.py
@@ -253,6 +253,20 @@ def _llm_usage(report_state: Any) -> dict[str, Any]:
     return usage if isinstance(usage, dict) else {}
 
 
+def _is_subscription(report_state: Any) -> bool:
+    """Whether this run uses a model subscription (no metered cost).
+
+    Prefers the run record so it's correct for hydrated/resumed runs; falls back
+    to current settings.
+    """
+    record = getattr(report_state, "run_record", None)
+    if isinstance(record, dict) and record.get("auth_mode"):
+        return record.get("auth_mode") == "subscription"
+    from strix.config import codex
+
+    return codex.auth_mode(load_settings().llm.model) == "subscription"
+
+
 def _int_stat(usage: dict[str, Any], key: str) -> int:
     try:
         return max(0, int(usage.get(key) or 0))
@@ -283,11 +297,16 @@ def _build_llm_usage_stats(
     *,
     live: bool = False,
 ) -> None:
+    subscription = _is_subscription(report_state)
     usage = _llm_usage(report_state)
     if not usage or _int_stat(usage, "requests") <= 0:
         stats_text.append("\n")
         stats_text.append("Cost ", style="dim")
-        stats_text.append("$0.0000 ", style="#fbbf24")
+        if subscription:
+            stats_text.append("$0.00 ", style="#22c55e")
+            stats_text.append("(subscription) ", style="dim")
+        else:
+            stats_text.append("$0.0000 ", style="#fbbf24")
         stats_text.append("· ", style="dim white")
         stats_text.append("Tokens ", style="dim")
         stats_text.append("0", style="white")
@@ -312,7 +331,12 @@ def _build_llm_usage_stats(
     stats_text.append("Output Tokens ", style="dim")
     stats_text.append(format_token_count(output_tokens), style="white")
 
-    if live or cost > 0:
+    if subscription:
+        stats_text.append("  ·  ", style="dim white")
+        stats_text.append("Cost ", style="dim")
+        stats_text.append("$0.00", style="#22c55e")
+        stats_text.append(" (subscription)", style="dim")
+    elif live or cost > 0:
         stats_text.append("  ·  ", style="dim white")
         stats_text.append("Cost ", style="dim")
         stats_text.append(f"${cost:.4f}", style="#fbbf24")
@@ -337,6 +361,9 @@ def build_live_stats_text(report_state: Any) -> Text:
     model = load_settings().llm.model or "unknown"
     stats_text.append("Model ", style="dim")
     stats_text.append(str(model), style="white")
+    if _is_subscription(report_state):
+        stats_text.append("  ·  ", style="dim white")
+        stats_text.append("ChatGPT subscription", style="#22c55e")
     stats_text.append("\n")
 
     vuln_count = len(report_state.vulnerability_reports)
@@ -379,6 +406,10 @@ def build_tui_stats_text(report_state: Any) -> Text:
 
     model = load_settings().llm.model or "unknown"
     stats_text.append(str(model), style="white")
+    subscription = _is_subscription(report_state)
+    if subscription:
+        stats_text.append("\n")
+        stats_text.append("ChatGPT subscription", style="#22c55e")
 
     usage = _llm_usage(report_state)
     if usage and _int_stat(usage, "total_tokens") > 0:
@@ -388,7 +419,10 @@ def build_tui_stats_text(report_state: Any) -> Text:
             style="white",
         )
         cost = _float_stat(usage, "cost")
-        if cost > 0:
+        if subscription:
+            stats_text.append(" · ", style="white")
+            stats_text.append("$0.00", style="white")
+        elif cost > 0:
             stats_text.append(" · ", style="white")
             stats_text.append(f"${cost:.2f}", style="white")
 
@@ -1147,9 +1181,7 @@ def read_target_list_file(path_str: str) -> list[str]:
             if (target := line.strip()) and not target.startswith("#")
         ]
     except UnicodeDecodeError as e:
-        raise ValueError(
-            f"Target list file '{path_str}' must be valid UTF-8 text: {e!s}"
-        ) from e
+        raise ValueError(f"Target list file '{path_str}' must be valid UTF-8 text: {e!s}") from e
     except OSError as e:
         raise ValueError(f"Failed to read target list file '{path_str}': {e!s}") from e
 
diff --git a/strix/report/state.py b/strix/report/state.py
index 217b266d..1475ccf3 100644
--- a/strix/report/state.py
+++ b/strix/report/state.py
@@ -10,6 +10,8 @@ from uuid import uuid4
 
 from agents.usage import Usage
 
+from strix.config import codex
+from strix.config.loader import load_settings
 from strix.core.paths import run_dir_for
 from strix.report.sarif import write_sarif
 from strix.report.usage import LLMUsageLedger
@@ -117,12 +119,15 @@ class ReportState:
         self.scan_results: dict[str, Any] | None = None
         self.scan_config: dict[str, Any] | None = None
         self._llm_usage = LLMUsageLedger()
+        auth_mode = codex.auth_mode(load_settings().llm.model)
+        self._llm_usage.zero_cost = auth_mode == "subscription"
         self.run_record: dict[str, Any] = {
             "run_id": self.run_id,
             "run_name": self.run_name,
             "start_time": self.start_time,
             "end_time": None,
             "status": "running",
+            "auth_mode": auth_mode,
             "targets_info": [],
             "llm_usage": self._build_llm_usage_record(),
         }
diff --git a/strix/report/usage.py b/strix/report/usage.py
index b4f2b786..e3ddf494 100644
--- a/strix/report/usage.py
+++ b/strix/report/usage.py
@@ -19,6 +19,9 @@ class LLMUsageLedger:
         self._agent_usage: dict[str, Usage] = {}
         self._agent_metadata: dict[str, dict[str, str]] = {}
         self._total_cost = 0.0
+        # When True, tokens are still tracked but cost stays $0 — the run is on a
+        # model subscription, so there is no metered per-token charge to report.
+        self.zero_cost = False
 
     def record(
         self,
@@ -41,7 +44,7 @@ class LLMUsageLedger:
         if model:
             metadata["model"] = model
 
-        if not _is_litellm_routed(model):
+        if not self.zero_cost and not _is_litellm_routed(model):
             estimated = _estimate_litellm_cost(usage, model)
             if estimated:
                 self._total_cost += estimated
@@ -49,6 +52,8 @@ class LLMUsageLedger:
         return True
 
     def record_observed_cost(self, cost: float) -> None:
+        if self.zero_cost:
+            return
         if isinstance(cost, int | float) and cost > 0:
             self._total_cost += float(cost)
 
diff --git a/strix/telemetry/README.md b/strix/telemetry/README.md
index 3c594915..e774ab8f 100644
--- a/strix/telemetry/README.md
+++ b/strix/telemetry/README.md
@@ -15,7 +15,7 @@ We collect only very **basic** usage data including:
 **Session Errors:** Duration and error types (not messages or stack traces)\
 **System Context:** OS type, architecture, Strix version\
 **Scan Context:** Scan mode (quick/standard/deep), scan type (whitebox/blackbox)\
-**Model Usage:** Which LLM model is being used (not prompts or responses)\
+**Model Usage:** Which LLM model is being used and whether it runs via an API key or a model subscription (not prompts or responses)\
 **Feature Usage:** Which built-in skills are loaded\
 **Aggregate Metrics:** Vulnerability counts by severity and weakness category (CWE)
 
diff --git a/strix/telemetry/posthog.py b/strix/telemetry/posthog.py
index 43db11f2..79fb95d9 100644
--- a/strix/telemetry/posthog.py
+++ b/strix/telemetry/posthog.py
@@ -58,12 +58,14 @@ def start(
     is_whitebox: bool,
     interactive: bool,
     has_instructions: bool,
+    auth_mode: str | None = None,
 ) -> None:
     _send(
         "scan_started",
         {
             **base_props(),
             "model": model or "unknown",
+            "auth_mode": auth_mode or "api_key",
             "scan_mode": scan_mode or "unknown",
             "scan_type": "whitebox" if is_whitebox else "blackbox",
             "interactive": interactive,
@@ -133,6 +135,7 @@ def end(report_state: "ReportState", exit_reason: str = "completed") -> None:
         "scan_ended",
         {
             **base_props(),
+            "auth_mode": report_state.run_record.get("auth_mode") or "api_key",
             "exit_reason": report_state.scan_ended_exit_reason,
             "duration_seconds": round(duration),
             "vulnerabilities_total": len(report_state.vulnerability_reports),
diff --git a/strix/telemetry/scarf.py b/strix/telemetry/scarf.py
index c0c62964..3fd9b1be 100644
--- a/strix/telemetry/scarf.py
+++ b/strix/telemetry/scarf.py
@@ -59,6 +59,7 @@ def start(
     is_whitebox: bool,
     interactive: bool,
     has_instructions: bool,
+    auth_mode: str | None = None,
 ) -> None:
     _send(
         "scan_started",
@@ -66,6 +67,7 @@ def start(
             **base_props(),
             "session": SESSION_ID,
             "model": model or "unknown",
+            "auth_mode": auth_mode or "api_key",
             "scan_mode": scan_mode or "unknown",
             "scan_type": "whitebox" if is_whitebox else "blackbox",
             "interactive": interactive,
@@ -140,6 +142,7 @@ def end(report_state: ReportState, exit_reason: str = "completed") -> None:
         {
             **base_props(),
             "session": SESSION_ID,
+            "auth_mode": report_state.run_record.get("auth_mode") or "api_key",
             "exit_reason": report_state.scan_ended_exit_reason,
             "duration_seconds": round(duration),
             "vulnerabilities_total": len(report_state.vulnerability_reports),
diff --git a/strix/tools/agents_graph/tools.py b/strix/tools/agents_graph/tools.py
index 478c1efb..7f937400 100644
--- a/strix/tools/agents_graph/tools.py
+++ b/strix/tools/agents_graph/tools.py
@@ -87,7 +87,7 @@ async def view_agent_graph(ctx: RunContextWrapper) -> str:
             default=str,
         )
 
-    parent_of, statuses, names = await coordinator.graph_snapshot()
+    parent_of, statuses, names, _ = await coordinator.graph_snapshot()
 
     lines: list[str] = []
 
@@ -635,7 +635,7 @@ async def stop_agent(
             ensure_ascii=False,
             default=str,
         )
-    _, statuses, _ = await coordinator.graph_snapshot()
+    _, statuses, _, _ = await coordinator.graph_snapshot()
     if target_agent_id not in statuses:
         return json.dumps(
             {"success": False, "error": f"Unknown agent_id: {target_agent_id}"},
diff --git a/strix/viewer/frontend/package-lock.json b/strix/viewer/frontend/package-lock.json
index 9f86e348..09790806 100644
--- a/strix/viewer/frontend/package-lock.json
+++ b/strix/viewer/frontend/package-lock.json
@@ -63,7 +63,6 @@
       "integrity": "sha512-RgHBCvtjbOK2gXSNBNIkNoEc9qoVEtau3hj8gEqKQuL3HZAibKarWFEI3Lfm6EYKkLalOh8eSrj9b+ch9H/VBA==",
       "dev": true,
       "license": "MIT",
-      "peer": true,
       "dependencies": {
         "@babel/code-frame": "^7.29.7",
         "@babel/generator": "^7.29.7",
@@ -1605,7 +1604,6 @@
       "resolved": "https://registry.npmjs.org/@types/react/-/react-19.2.17.tgz",
       "integrity": "sha512-MXfmqaVPEVgkBT/aY0aGCkRWWtByiYQXo3xdQ8r5RzuFrPiRn8Gar2tQdXSUQ2GKV3bkXckek89V8wQBY2Q/Aw==",
       "license": "MIT",
-      "peer": true,
       "dependencies": {
         "csstype": "^3.2.2"
       }
@@ -1616,7 +1614,6 @@
       "integrity": "sha512-jp2L/eY6fn+KgVVQAOqYItbF0VY/YApe5Mz2F0aykSO8gx31bYCZyvSeYxCHKvzHG5eZjc+zyaS5BrBWya2+kQ==",
       "devOptional": true,
       "license": "MIT",
-      "peer": true,
       "peerDependencies": {
         "@types/react": "^19.2.0"
       }
@@ -1739,7 +1736,6 @@
         }
       ],
       "license": "MIT",
-      "peer": true,
       "dependencies": {
         "baseline-browser-mapping": "^2.10.42",
         "caniuse-lite": "^1.0.30001803",
@@ -1920,7 +1916,6 @@
       "resolved": "https://registry.npmjs.org/d3-selection/-/d3-selection-3.0.0.tgz",
       "integrity": "sha512-fmTRWbNMmsmWq6xJV8D19U/gw/bwrHfNXxrIN+HfZgnzqTHp9jOmKMhsTUjXOJnZOdZY9Q28y4yebKzqDKlxlQ==",
       "license": "ISC",
-      "peer": true,
       "engines": {
         "node": ">=12"
       }
@@ -3571,7 +3566,6 @@
       "integrity": "sha512-RvwwcruNjI1ncT5xRakeyS9Lf8lcItv34KD+aif+VH9kduAyfYBipGh12274xtenIPZ119/R9BdTBa8gAwSh0A==",
       "dev": true,
       "license": "MIT",
-      "peer": true,
       "engines": {
         "node": ">=12"
       },
@@ -3623,7 +3617,6 @@
       "resolved": "https://registry.npmjs.org/react/-/react-19.2.7.tgz",
       "integrity": "sha512-HNe9WslTbXmFK8o8cmwgAeJFSBvt1bPdHCVKtaaV+WlAN36mpT4hcRpwbf3fY56ar2oIXzsBpOAiIRHAdY0OlQ==",
       "license": "MIT",
-      "peer": true,
       "engines": {
         "node": ">=0.10.0"
       }
@@ -3633,7 +3626,6 @@
       "resolved": "https://registry.npmjs.org/react-dom/-/react-dom-19.2.7.tgz",
       "integrity": "sha512-t0BRVXvbiE/o20Hfw669rLbMCDWtYZLvmJigy2f0MxsXF+71pxhR3xOkspmsO8h3ZlNzyibAmtCa3l4lYKk6gQ==",
       "license": "MIT",
-      "peer": true,
       "dependencies": {
         "scheduler": "^0.27.0"
       },
@@ -4109,7 +4101,6 @@
       "integrity": "sha512-NTKlcQjlAK7MlQoyb6LgaqHc8sso/pVyUJYWMws3jg21uTJw/LddqIFPcPqP6PzpgbIcZyKI85sFE4HBrQDA8A==",
       "dev": true,
       "license": "MIT",
-      "peer": true,
       "dependencies": {
         "esbuild": "^0.25.0",
         "fdir": "^6.4.4",
diff --git a/strix/viewer/frontend/src/components/RunDetails.tsx b/strix/viewer/frontend/src/components/RunDetails.tsx
index e7059eba..53b66eca 100644
--- a/strix/viewer/frontend/src/components/RunDetails.tsx
+++ b/strix/viewer/frontend/src/components/RunDetails.tsx
@@ -100,6 +100,7 @@ export function RunDetails({
   const reasoning = num(rec(arr(usage.output_tokens_details)[0]).reasoning_tokens);
   const totalTokens = num(usage.total_tokens);
   const cost = num(usage.cost);
+  const subscription = str(raw.auth_mode) === "subscription";
 
   const sub = (n: number, word: string) => (
     <span className="text-[#666]"> ({formatNumber(n)} {word})</span>
@@ -175,6 +176,15 @@ export function RunDetails({
           {hasUsage ? (
             <dl className="space-y-2.5 tabular-nums">
               <Field label="Model">{models.length ? models.join(", ") : "n/a"}</Field>
+              {subscription && (
+                <Field label="Provider">
+                  <span className="inline-flex items-center gap-1.5">
+                    <span className="rounded-full border border-[#22c55e]/40 bg-[#22c55e]/10 px-2 py-0.5 text-[11px] text-[#22c55e]">
+                      ChatGPT subscription
+                    </span>
+                  </span>
+                </Field>
+              )}
               <Field label="Run time">{fmtDuration(durationSeconds)}</Field>
               {requests != null && <Field label="Requests">{formatNumber(requests)}</Field>}
               {inputTokens != null && (
@@ -190,7 +200,14 @@ export function RunDetails({
                 </Field>
               )}
               {totalTokens != null && <Field label="Total tokens">{formatNumber(totalTokens)}</Field>}
-              {cost != null && <Field label="Cost">${cost.toFixed(2)}</Field>}
+              {subscription ? (
+                <Field label="Cost">
+                  <span className="text-[#22c55e]">$0.00</span>
+                  <span className="text-[#666]"> (subscription)</span>
+                </Field>
+              ) : (
+                cost != null && <Field label="Cost">${cost.toFixed(2)}</Field>
+              )}
               {agents.length > 0 && <Field label="Agents">{formatNumber(agents.length)}</Field>}
             </dl>
           ) : (
diff --git a/strix/viewer/static/assets/index-BdiSGmzb.css b/strix/viewer/static/assets/index-BdiSGmzb.css
deleted file mode 100644
index 6e8eef74..00000000
--- a/strix/viewer/static/assets/index-BdiSGmzb.css
+++ /dev/null
@@ -1,10 +0,0 @@
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-  Description: Dark theme as seen on github.com
-  Author: github.com
-  Maintainer: @Hirse
-  Updated: 2021-05-15
-
-  Outdated base version: https://github.com/primer/github-syntax-dark
-  Current colors taken from GitHub's CSS
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diff --git a/strix/viewer/static/assets/index-BNKUksp9.js b/strix/viewer/static/assets/index-e2r6VuTm.js
similarity index 90%
rename from strix/viewer/static/assets/index-BNKUksp9.js
rename to strix/viewer/static/assets/index-e2r6VuTm.js
index 4e1b3ca6..a010dffe 100644
--- a/strix/viewer/static/assets/index-BNKUksp9.js
+++ b/strix/viewer/static/assets/index-e2r6VuTm.js
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  * @license React
  * react-dom-client.production.js
  *
@@ -38,15 +38,15 @@
  *
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u=i.pendingProps,b=(i.flags&128)!==0;if(i.flags&=-129,n===null){if(lt){if(u.mode==="hidden")return n=xc(i,u),i.lanes=536870912,Cl(null,n);if(Pd(i),(n=Dt)?(n=y0(n,fr),n=n!==null&&n.data==="&"?n:null,n!==null&&(i.memoizedState={dehydrated:n,treeContext:Li!==null?{id:Hr,overflow:$r}:null,retryLane:536870912,hydrationErrors:null},l=Fg(n),l.return=i,i.child=l,xn=i,Dt=null)):n=null,n===null)throw Ii(i);return i.lanes=536870912,null}return xc(i,u)}var v=n.memoizedState;if(v!==null){var C=v.dehydrated;if(Pd(i),b)if(i.flags&256)i.flags&=-257,i=lx(n,i,l);else if(i.memoizedState!==null)i.child=n.child,i.flags|=128,i=null;else throw Error(a(558));else if(nn||fs(n,i,l,!1),b=(l&n.childLanes)!==0,nn||b){if(u=kt,u!==null&&(C=Bt(u,l),C!==0&&C!==v.retryLane))throw v.retryLane=C,wa(n,C),qn(u,n,C),df;Ac(),i=lx(n,i,l)}else n=v.treeContext,Dt=mr(C.nextSibling),xn=i,lt=!0,zi=null,fr=!1,n!==null&&Yg(i,n),i=xc(i,u),i.flags|=4096;return i}return n=ni(n.child,{mode:u.mode,children:u.children}),n.ref=i.ref,i.child=n,n.return=i,n}function yc(n,i){var l=i.ref;if(l===null)n!==null&&n.ref!==null&&(i.flags|=4194816);else{if(typeof l!="function"&&typeof l!="object")throw Error(a(284));(n===null||n.ref!==l)&&(i.flags|=4194816)}}function ff(n,i,l,u,b){return ka(i),l=Gd(n,i,l,u,void 0,b),u=Vd(),n!==null&&!nn?(Yd(n,i,b),oi(n,i,b)):(lt&&u&&kd(i),i.flags|=1,vn(n,i,l,b),i.child)}function ox(n,i,l,u,b,v){return ka(i),i.updateQueue=null,l=db(i,u,l,b),ub(n),u=Vd(),n!==null&&!nn?(Yd(n,i,v),oi(n,i,v)):(lt&&u&&kd(i),i.flags|=1,vn(n,i,l,v),i.child)}function cx(n,i,l,u,b){if(ka(i),i.stateNode===null){var v=os,C=l.contextType;typeof C=="object"&&C!==null&&(v=yn(C)),v=new l(u,v),i.memoizedState=v.state!==null&&v.state!==void 0?v.state:null,v.updater=cf,i.stateNode=v,v._reactInternals=i,v=i.stateNode,v.props=u,v.state=i.memoizedState,v.refs={},Id(i),C=l.contextType,v.context=typeof C=="object"&&C!==null?yn(C):os,v.state=i.memoizedState,C=l.getDerivedStateFromProps,typeof C=="function"&&(of(i,l,C,u),v.state=i.memoizedState),typeof l.getDerivedStateFromProps=="function"||typeof v.getSnapshotBeforeUpdate=="function"||typeof v.UNSAFE_componentWillMount!="function"&&typeof v.componentWillMount!="function"||(C=v.state,typeof v.componentWillMount=="function"&&v.componentWillMount(),typeof v.UNSAFE_componentWillMount=="function"&&v.UNSAFE_componentWillMount(),C!==v.state&&cf.enqueueReplaceState(v,v.state,null),El(i,u,v,b),wl(),v.state=i.memoizedState),typeof v.componentDidMount=="function"&&(i.flags|=4194308),u=!0}else if(n===null){v=i.stateNode;var F=i.memoizedProps,ne=Ra(l,F);v.props=ne;var le=v.context,he=l.contextType;C=os,typeof he=="object"&&he!==null&&(C=yn(he));var ge=l.getDerivedStateFromProps;he=typeof ge=="function"||typeof v.getSnapshotBeforeUpdate=="function",F=i.pendingProps!==F,he||typeof v.UNSAFE_componentWillReceiveProps!="function"&&typeof 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v.getSnapshotBeforeUpdate!="function"||C===n.memoizedProps&&oe===n.memoizedState||(i.flags|=1024),i.memoizedProps=u,i.memoizedState=de),v.props=u,v.state=de,v.context=ne,u=he):(typeof v.componentDidUpdate!="function"||C===n.memoizedProps&&oe===n.memoizedState||(i.flags|=4),typeof v.getSnapshotBeforeUpdate!="function"||C===n.memoizedProps&&oe===n.memoizedState||(i.flags|=1024),u=!1)}return v=u,yc(n,i),u=(i.flags&128)!==0,v||u?(v=i.stateNode,l=u&&typeof l.getDerivedStateFromError!="function"?null:v.render(),i.flags|=1,n!==null&&u?(i.child=Ma(i,n.child,null,b),i.child=Ma(i,null,l,b)):vn(n,i,l,b),i.memoizedState=v.state,n=i.child):n=oi(n,i,b),n}function ux(n,i,l,u){return Na(),i.flags|=256,vn(n,i,l,u),i.child}var hf={dehydrated:null,treeContext:null,retryLane:0,hydrationErrors:null};function mf(n){return{baseLanes:n,cachePool:Jg()}}function pf(n,i,l){return n=n!==null?n.childLanes&~l:0,i&&(n|=er),n}function dx(n,i,l){var u=i.pendingProps,b=!1,v=(i.flags&128)!==0,C;if((C=v)||(C=n!==null&&n.memoizedState===null?!1:(Zt.current&2)!==0),C&&(b=!0,i.flags&=-129),C=(i.flags&32)!==0,i.flags&=-33,n===null){if(lt){if(b?qi(i):Pi(),(n=Dt)?(n=y0(n,fr),n=n!==null&&n.data!=="&"?n:null,n!==null&&(i.memoizedState={dehydrated:n,treeContext:Li!==null?{id:Hr,overflow:$r}:null,retryLane:536870912,hydrationErrors:null},l=Fg(n),l.return=i,i.child=l,xn=i,Dt=null)):n=null,n===null)throw Ii(i);return Qf(n)?i.lanes=32:i.lanes=536870912,null}var F=u.children;return u=u.fallback,b?(Pi(),b=i.mode,F=vc({mode:"hidden",children:F},b),u=Ea(u,b,l,null),F.return=i,u.return=i,F.sibling=u,i.child=F,u=i.child,u.memoizedState=mf(l),u.childLanes=pf(n,C,l),i.memoizedState=hf,Cl(null,u)):(qi(i),gf(i,F))}var ne=n.memoizedState;if(ne!==null&&(F=ne.dehydrated,F!==null)){if(v)i.flags&256?(qi(i),i.flags&=-257,i=bf(n,i,l)):i.memoizedState!==null?(Pi(),i.child=n.child,i.flags|=128,i=null):(Pi(),F=u.fallback,b=i.mode,u=vc({mode:"visible",children:u.children},b),F=Ea(F,b,l,null),F.flags|=2,u.return=i,F.return=i,u.sibling=F,i.child=u,Ma(i,n.child,null,l),u=i.child,u.memoizedState=mf(l),u.childLanes=pf(n,C,l),i.memoizedState=hf,i=Cl(null,u));else if(qi(i),Qf(F)){if(C=F.nextSibling&&F.nextSibling.dataset,C)var le=C.dgst;C=le,u=Error(a(419)),u.stack="",u.digest=C,gl({value:u,source:null,stack:null}),i=bf(n,i,l)}else if(nn||fs(n,i,l,!1),C=(l&n.childLanes)!==0,nn||C){if(C=kt,C!==null&&(u=Bt(C,l),u!==0&&u!==ne.retryLane))throw ne.retryLane=u,wa(n,u),qn(C,n,u),df;Zf(F)||Ac(),i=bf(n,i,l)}else Zf(F)?(i.flags|=192,i.child=n.child,i=null):(n=ne.treeContext,Dt=mr(F.nextSibling),xn=i,lt=!0,zi=null,fr=!1,n!==null&&Yg(i,n),i=gf(i,u.children),i.flags|=4096);return i}return b?(Pi(),F=u.fallback,b=i.mode,ne=n.child,le=ne.sibling,u=ni(ne,{mode:"hidden",children:u.children}),u.subtreeFlags=ne.subtreeFlags&65011712,le!==null?F=ni(le,F):(F=Ea(F,b,l,null),F.flags|=2),F.return=i,u.return=i,u.sibling=F,i.child=u,Cl(null,u),u=i.child,F=n.child.memoizedState,F===null?F=mf(l):(b=F.cachePool,b!==null?(ne=en._currentValue,b=b.parent!==ne?{parent:ne,pool:ne}:b):b=Jg(),F={baseLanes:F.baseLanes|l,cachePool:b}),u.memoizedState=F,u.childLanes=pf(n,C,l),i.memoizedState=hf,Cl(n.child,u)):(qi(i),l=n.child,n=l.sibling,l=ni(l,{mode:"visible",children:u.children}),l.return=i,l.sibling=null,n!==null&&(C=i.deletions,C===null?(i.deletions=[n],i.flags|=16):C.push(n)),i.child=l,i.memoizedState=null,l)}function gf(n,i){return i=vc({mode:"visible",children:i},n.mode),i.return=n,n.child=i}function vc(n,i){return n=Zn(22,n,null,i),n.lanes=0,n}function bf(n,i,l){return Ma(i,n.child,null,l),n=gf(i,i.pendingProps.children),n.flags|=2,i.memoizedState=null,n}function fx(n,i,l){n.lanes|=i;var u=n.alternate;u!==null&&(u.lanes|=i),Od(n.return,i,l)}function xf(n,i,l,u,b,v){var C=n.memoizedState;C===null?n.memoizedState={isBackwards:i,rendering:null,renderingStartTime:0,last:u,tail:l,tailMode:b,treeForkCount:v}:(C.isBackwards=i,C.rendering=null,C.renderingStartTime=0,C.last=u,C.tail=l,C.tailMode=b,C.treeForkCount=v)}function hx(n,i,l){var u=i.pendingProps,b=u.revealOrder,v=u.tail;u=u.children;var C=Zt.current,F=(C&2)!==0;if(F?(C=C&1|2,i.flags|=128):C&=1,L(Zt,C),vn(n,i,u,l),u=lt?pl:0,!F&&n!==null&&(n.flags&128)!==0)e:for(n=i.child;n!==null;){if(n.tag===13)n.memoizedState!==null&&fx(n,l,i);else if(n.tag===19)fx(n,l,i);else if(n.child!==null){n.child.return=n,n=n.child;continue}if(n===i)break e;for(;n.sibling===null;){if(n.return===null||n.return===i)break 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C=i.memoizedState;if(u=C.cache,Bi(i,en,u),u!==v.cache&&Rd(i,[en],l,!0),wl(),u=C.element,v.isDehydrated)if(v={element:u,isDehydrated:!1,cache:C.cache},i.updateQueue.baseState=v,i.memoizedState=v,i.flags&256){i=ux(n,i,u,l);break e}else if(u!==b){b=cr(Error(a(424)),i),gl(b),i=ux(n,i,u,l);break e}else{switch(n=i.stateNode.containerInfo,n.nodeType){case 9:n=n.body;break;default:n=n.nodeName==="HTML"?n.ownerDocument.body:n}for(Dt=mr(n.firstChild),xn=i,lt=!0,zi=null,fr=!0,l=ab(i,null,u,l),i.child=l;l;)l.flags=l.flags&-3|4096,l=l.sibling}else{if(Na(),u===b){i=oi(n,i,l);break e}vn(n,i,u,l)}i=i.child}return i;case 26:return yc(n,i),n===null?(l=S0(i.type,null,i.pendingProps,null))?i.memoizedState=l:lt||(l=i.type,n=i.pendingProps,u=zc(Q.current).createElement(l),u[Ut]=i,u[mn]=n,_n(u,l,n),Ft(u),i.stateNode=u):i.memoizedState=S0(i.type,n.memoizedProps,i.pendingProps,n.memoizedState),null;case 27:return 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i.pendingProps}throw Error(a(156,i.tag))}function ci(n){n.flags|=4}function vf(n,i,l,u,b){if((i=(n.mode&32)!==0)&&(i=!1),i){if(n.flags|=16777216,(b&335544128)===b)if(n.stateNode.complete)n.flags|=8192;else if($x())n.flags|=8192;else throw Aa=ic,zd}else n.flags&=-16777217}function px(n,i){if(i.type!=="stylesheet"||(i.state.loading&4)!==0)n.flags&=-16777217;else if(n.flags|=16777216,!M0(i))if($x())n.flags|=8192;else throw Aa=ic,zd}function _c(n,i){i!==null&&(n.flags|=4),n.flags&16384&&(i=n.tag!==22?Pe():536870912,n.lanes|=i,Ns|=i)}function Al(n,i){if(!lt)switch(n.tailMode){case"hidden":i=n.tail;for(var l=null;i!==null;)i.alternate!==null&&(l=i),i=i.sibling;l===null?n.tail=null:l.sibling=null;break;case"collapsed":l=n.tail;for(var u=null;l!==null;)l.alternate!==null&&(u=l),l=l.sibling;u===null?i||n.tail===null?n.tail=null:n.tail.sibling=null:u.sibling=null}}function jt(n){var i=n.alternate!==null&&n.alternate.child===n.child,l=0,u=0;if(i)for(var 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u=i.pendingProps,b=!1,v=(i.flags&128)!==0,A;if((A=v)||(A=n!==null&&n.memoizedState===null?!1:(Zt.current&2)!==0),A&&(b=!0,i.flags&=-129),A=(i.flags&32)!==0,i.flags&=-33,n===null){if(lt){if(b?qi(i):Pi(),(n=Dt)?(n=y0(n,hr),n=n!==null&&n.data!=="&"?n:null,n!==null&&(i.memoizedState={dehydrated:n,treeContext:Li!==null?{id:Hr,overflow:$r}:null,retryLane:536870912,hydrationErrors:null},l=Fg(n),l.return=i,i.child=l,xn=i,Dt=null)):n=null,n===null)throw Ii(i);return Qf(n)?i.lanes=32:i.lanes=536870912,null}var F=u.children;return u=u.fallback,b?(Pi(),b=i.mode,F=vc({mode:"hidden",children:F},b),u=Ea(u,b,l,null),F.return=i,u.return=i,F.sibling=u,i.child=F,u=i.child,u.memoizedState=mf(l),u.childLanes=pf(n,A,l),i.memoizedState=hf,Cl(null,u)):(qi(i),gf(i,F))}var ne=n.memoizedState;if(ne!==null&&(F=ne.dehydrated,F!==null)){if(v)i.flags&256?(qi(i),i.flags&=-257,i=bf(n,i,l)):i.memoizedState!==null?(Pi(),i.child=n.child,i.flags|=128,i=null):(Pi(),F=u.fallback,b=i.mode,u=vc({mode:"visible",children:u.children},b),F=Ea(F,b,l,null),F.flags|=2,u.return=i,F.return=i,u.sibling=F,i.child=u,Ma(i,n.child,null,l),u=i.child,u.memoizedState=mf(l),u.childLanes=pf(n,A,l),i.memoizedState=hf,i=Cl(null,u));else if(qi(i),Qf(F)){if(A=F.nextSibling&&F.nextSibling.dataset,A)var le=A.dgst;A=le,u=Error(a(419)),u.stack="",u.digest=A,gl({value:u,source:null,stack:null}),i=bf(n,i,l)}else if(nn||fs(n,i,l,!1),A=(l&n.childLanes)!==0,nn||A){if(A=kt,A!==null&&(u=Bt(A,l),u!==0&&u!==ne.retryLane))throw ne.retryLane=u,wa(n,u),qn(A,n,u),df;Zf(F)||Ac(),i=bf(n,i,l)}else Zf(F)?(i.flags|=192,i.child=n.child,i=null):(n=ne.treeContext,Dt=pr(F.nextSibling),xn=i,lt=!0,zi=null,hr=!1,n!==null&&Yg(i,n),i=gf(i,u.children),i.flags|=4096);return i}return b?(Pi(),F=u.fallback,b=i.mode,ne=n.child,le=ne.sibling,u=ni(ne,{mode:"hidden",children:u.children}),u.subtreeFlags=ne.subtreeFlags&65011712,le!==null?F=ni(le,F):(F=Ea(F,b,l,null),F.flags|=2),F.return=i,u.return=i,u.sibling=F,i.child=u,Cl(null,u),u=i.child,F=n.child.memoizedState,F===null?F=mf(l):(b=F.cachePool,b!==null?(ne=en._currentValue,b=b.parent!==ne?{parent:ne,pool:ne}:b):b=Jg(),F={baseLanes:F.baseLanes|l,cachePool:b}),u.memoizedState=F,u.childLanes=pf(n,A,l),i.memoizedState=hf,Cl(n.child,u)):(qi(i),l=n.child,n=l.sibling,l=ni(l,{mode:"visible",children:u.children}),l.return=i,l.sibling=null,n!==null&&(A=i.deletions,A===null?(i.deletions=[n],i.flags|=16):A.push(n)),i.child=l,i.memoizedState=null,l)}function gf(n,i){return i=vc({mode:"visible",children:i},n.mode),i.return=n,n.child=i}function vc(n,i){return n=Zn(22,n,null,i),n.lanes=0,n}function bf(n,i,l){return Ma(i,n.child,null,l),n=gf(i,i.pendingProps.children),n.flags|=2,i.memoizedState=null,n}function fx(n,i,l){n.lanes|=i;var u=n.alternate;u!==null&&(u.lanes|=i),Od(n.return,i,l)}function xf(n,i,l,u,b,v){var A=n.memoizedState;A===null?n.memoizedState={isBackwards:i,rendering:null,renderingStartTime:0,last:u,tail:l,tailMode:b,treeForkCount:v}:(A.isBackwards=i,A.rendering=null,A.renderingStartTime=0,A.last=u,A.tail=l,A.tailMode=b,A.treeForkCount=v)}function hx(n,i,l){var u=i.pendingProps,b=u.revealOrder,v=u.tail;u=u.children;var A=Zt.current,F=(A&2)!==0;if(F?(A=A&1|2,i.flags|=128):A&=1,L(Zt,A),vn(n,i,u,l),u=lt?pl:0,!F&&n!==null&&(n.flags&128)!==0)e:for(n=i.child;n!==null;){if(n.tag===13)n.memoizedState!==null&&fx(n,l,i);else if(n.tag===19)fx(n,l,i);else if(n.child!==null){n.child.return=n,n=n.child;continue}if(n===i)break e;for(;n.sibling===null;){if(n.return===null||n.return===i)break e;n=n.return}n.sibling.return=n.return,n=n.sibling}switch(b){case"forwards":for(l=i.child,b=null;l!==null;)n=l.alternate,n!==null&&oc(n)===null&&(b=l),l=l.sibling;l=b,l===null?(b=i.child,i.child=null):(b=l.sibling,l.sibling=null),xf(i,!1,b,l,v,u);break;case"backwards":case"unstable_legacy-backwards":for(l=null,b=i.child,i.child=null;b!==null;){if(n=b.alternate,n!==null&&oc(n)===null){i.child=b;break}n=b.sibling,b.sibling=l,l=b,b=n}xf(i,!0,l,null,v,u);break;case"together":xf(i,!1,null,null,void 0,u);break;default:i.memoizedState=null}return i.child}function oi(n,i,l){if(n!==null&&(i.dependencies=n.dependencies),Vi|=i.lanes,(l&i.childLanes)===0)if(n!==null){if(fs(n,i,l,!1),(l&i.childLanes)===0)return null}else return null;if(n!==null&&i.child!==n.child)throw Error(a(153));if(i.child!==null){for(n=i.child,l=ni(n,n.pendingProps),i.child=l,l.return=i;n.sibling!==null;)n=n.sibling,l=l.sibling=ni(n,n.pendingProps),l.return=i;l.sibling=null}return i.child}function yf(n,i){return(n.lanes&i)!==0?!0:(n=n.dependencies,!!(n!==null&&ec(n)))}function m2(n,i,l){switch(i.tag){case 3:W(i,i.stateNode.containerInfo),Bi(i,en,n.memoizedState.cache),Na();break;case 27:case 5:ce(i);break;case 4:W(i,i.stateNode.containerInfo);break;case 10:Bi(i,i.type,i.memoizedProps.value);break;case 31:if(i.memoizedState!==null)return i.flags|=128,Pd(i),null;break;case 13:var u=i.memoizedState;if(u!==null)return u.dehydrated!==null?(qi(i),i.flags|=128,null):(l&i.child.childLanes)!==0?dx(n,i,l):(qi(i),n=oi(n,i,l),n!==null?n.sibling:null);qi(i);break;case 19:var b=(n.flags&128)!==0;if(u=(l&i.childLanes)!==0,u||(fs(n,i,l,!1),u=(l&i.childLanes)!==0),b){if(u)return hx(n,i,l);i.flags|=128}if(b=i.memoizedState,b!==null&&(b.rendering=null,b.tail=null,b.lastEffect=null),L(Zt,Zt.current),u)break;return null;case 22:return i.lanes=0,ax(n,i,l,i.pendingProps);case 24:Bi(i,en,n.memoizedState.cache)}return oi(n,i,l)}function mx(n,i,l){if(n!==null)if(n.memoizedProps!==i.pendingProps)nn=!0;else{if(!yf(n,l)&&(i.flags&128)===0)return nn=!1,m2(n,i,l);nn=(n.flags&131072)!==0}else nn=!1,lt&&(i.flags&1048576)!==0&&Vg(i,pl,i.index);switch(i.lanes=0,i.tag){case 16:e:{var u=i.pendingProps;if(n=Ca(i.elementType),i.type=n,typeof n=="function")Ed(n)?(u=Ra(n,u),i.tag=1,i=cx(null,i,n,u,l)):(i.tag=0,i=ff(null,i,n,u,l));else{if(n!=null){var b=n.$$typeof;if(b===M){i.tag=11,i=nx(null,i,n,u,l);break e}else if(b===U){i.tag=14,i=rx(null,i,n,u,l);break e}}throw i=C(n)||n,Error(a(306,i,""))}}return i;case 0:return ff(n,i,i.type,i.pendingProps,l);case 1:return u=i.type,b=Ra(u,i.pendingProps),cx(n,i,u,b,l);case 3:e:{if(W(i,i.stateNode.containerInfo),n===null)throw Error(a(387));u=i.pendingProps;var v=i.memoizedState;b=v.element,Bd(n,i),El(i,u,null,l);var A=i.memoizedState;if(u=A.cache,Bi(i,en,u),u!==v.cache&&Rd(i,[en],l,!0),wl(),u=A.element,v.isDehydrated)if(v={element:u,isDehydrated:!1,cache:A.cache},i.updateQueue.baseState=v,i.memoizedState=v,i.flags&256){i=ux(n,i,u,l);break e}else if(u!==b){b=ur(Error(a(424)),i),gl(b),i=ux(n,i,u,l);break e}else{switch(n=i.stateNode.containerInfo,n.nodeType){case 9:n=n.body;break;default:n=n.nodeName==="HTML"?n.ownerDocument.body:n}for(Dt=pr(n.firstChild),xn=i,lt=!0,zi=null,hr=!0,l=ab(i,null,u,l),i.child=l;l;)l.flags=l.flags&-3|4096,l=l.sibling}else{if(Na(),u===b){i=oi(n,i,l);break e}vn(n,i,u,l)}i=i.child}return i;case 26:return yc(n,i),n===null?(l=S0(i.type,null,i.pendingProps,null))?i.memoizedState=l:lt||(l=i.type,n=i.pendingProps,u=zc(Q.current).createElement(l),u[Ut]=i,u[mn]=n,_n(u,l,n),Ft(u),i.stateNode=u):i.memoizedState=S0(i.type,n.memoizedProps,i.pendingProps,n.memoizedState),null;case 27:return ce(i),n===null&&lt&&(u=i.stateNode=w0(i.type,i.pendingProps,Q.current),xn=i,hr=!0,b=Dt,Qi(i.type)?(Wf=b,Dt=pr(u.firstChild)):Dt=b),vn(n,i,i.pendingProps.children,l),yc(n,i),n===null&&(i.flags|=4194304),i.child;case 5:return n===null&&lt&&((b=u=Dt)&&(u=F2(u,i.type,i.pendingProps,hr),u!==null?(i.stateNode=u,xn=i,Dt=pr(u.firstChild),hr=!1,b=!0):b=!1),b||Ii(i)),ce(i),b=i.type,v=i.pendingProps,A=n!==null?n.memoizedProps:null,u=v.children,Yf(b,v)?u=null:A!==null&&Yf(b,A)&&(i.flags|=32),i.memoizedState!==null&&(b=Gd(n,i,a2,null,null,l),Pl._currentValue=b),yc(n,i),vn(n,i,u,l),i.child;case 6:return n===null&&lt&&((n=l=Dt)&&(l=G2(l,i.pendingProps,hr),l!==null?(i.stateNode=l,xn=i,Dt=null,n=!0):n=!1),n||Ii(i)),null;case 13:return dx(n,i,l);case 4:return W(i,i.stateNode.containerInfo),u=i.pendingProps,n===null?i.child=Ma(i,null,u,l):vn(n,i,u,l),i.child;case 11:return nx(n,i,i.type,i.pendingProps,l);case 7:return vn(n,i,i.pendingProps,l),i.child;case 8:return vn(n,i,i.pendingProps.children,l),i.child;case 12:return vn(n,i,i.pendingProps.children,l),i.child;case 10:return u=i.pendingProps,Bi(i,i.type,u.value),vn(n,i,u.children,l),i.child;case 9:return b=i.type._context,u=i.pendingProps.children,ka(i),b=yn(b),u=u(b),i.flags|=1,vn(n,i,u,l),i.child;case 14:return rx(n,i,i.type,i.pendingProps,l);case 15:return ix(n,i,i.type,i.pendingProps,l);case 19:return hx(n,i,l);case 31:return h2(n,i,l);case 22:return ax(n,i,l,i.pendingProps);case 24:return ka(i),u=yn(en),n===null?(b=Ld(),b===null&&(b=kt,v=Dd(),b.pooledCache=v,v.refCount++,v!==null&&(b.pooledCacheLanes|=l),b=v),i.memoizedState={parent:u,cache:b},Id(i),Bi(i,en,b)):((n.lanes&l)!==0&&(Bd(n,i),El(i,null,null,l),wl()),b=n.memoizedState,v=i.memoizedState,b.parent!==u?(b={parent:u,cache:u},i.memoizedState=b,i.lanes===0&&(i.memoizedState=i.updateQueue.baseState=b),Bi(i,en,u)):(u=v.cache,Bi(i,en,u),u!==b.cache&&Rd(i,[en],l,!0))),vn(n,i,i.pendingProps.children,l),i.child;case 29:throw i.pendingProps}throw Error(a(156,i.tag))}function ci(n){n.flags|=4}function vf(n,i,l,u,b){if((i=(n.mode&32)!==0)&&(i=!1),i){if(n.flags|=16777216,(b&335544128)===b)if(n.stateNode.complete)n.flags|=8192;else if($x())n.flags|=8192;else throw Aa=ic,zd}else n.flags&=-16777217}function px(n,i){if(i.type!=="stylesheet"||(i.state.loading&4)!==0)n.flags&=-16777217;else if(n.flags|=16777216,!M0(i))if($x())n.flags|=8192;else throw Aa=ic,zd}function _c(n,i){i!==null&&(n.flags|=4),n.flags&16384&&(i=n.tag!==22?Pe():536870912,n.lanes|=i,Ns|=i)}function Al(n,i){if(!lt)switch(n.tailMode){case"hidden":i=n.tail;for(var l=null;i!==null;)i.alternate!==null&&(l=i),i=i.sibling;l===null?n.tail=null:l.sibling=null;break;case"collapsed":l=n.tail;for(var u=null;l!==null;)l.alternate!==null&&(u=l),l=l.sibling;u===null?i||n.tail===null?n.tail=null:n.tail.sibling=null:u.sibling=null}}function jt(n){var i=n.alternate!==null&&n.alternate.child===n.child,l=0,u=0;if(i)for(var b=n.child;b!==null;)l|=b.lanes|b.childLanes,u|=b.subtreeFlags&65011712,u|=b.flags&65011712,b.return=n,b=b.sibling;else for(b=n.child;b!==null;)l|=b.lanes|b.childLanes,u|=b.subtreeFlags,u|=b.flags,b.return=n,b=b.sibling;return n.subtreeFlags|=u,n.childLanes=l,i}function p2(n,i,l){var u=i.pendingProps;switch(Td(i),i.tag){case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:return jt(i),null;case 1:return jt(i),null;case 3:return l=i.stateNode,u=null,n!==null&&(u=n.memoizedState.cache),i.memoizedState.cache!==u&&(i.flags|=2048),ai(en),te(),l.pendingContext&&(l.context=l.pendingContext,l.pendingContext=null),(n===null||n.child===null)&&(ds(i)?ci(i):n===null||n.memoizedState.isDehydrated&&(i.flags&256)===0||(i.flags|=1024,Ad())),jt(i),null;case 26:var b=i.type,v=i.memoizedState;return n===null?(ci(i),v!==null?(jt(i),px(i,v)):(jt(i),vf(i,b,null,u,l))):v?v!==n.memoizedState?(ci(i),jt(i),px(i,v)):(jt(i),i.flags&=-16777217):(n=n.memoizedProps,n!==u&&ci(i),jt(i),vf(i,b,n,u,l)),null;case 27:if(fe(i),l=Q.current,b=i.type,n!==null&&i.stateNode!=null)n.memoizedProps!==u&&ci(i);else{if(!u){if(i.stateNode===null)throw Error(a(166));return jt(i),null}n=G.current,ds(i)?Xg(i):(n=w0(b,u,l),i.stateNode=n,ci(i))}return jt(i),null;case 5:if(fe(i),b=i.type,n!==null&&i.stateNode!=null)n.memoizedProps!==u&&ci(i);else{if(!u){if(i.stateNode===null)throw Error(a(166));return jt(i),null}if(v=G.current,ds(i))Xg(i);else{var A=zc(Q.current);switch(v){case 1:v=A.createElementNS("http://www.w3.org/2000/svg",b);break;case 2:v=A.createElementNS("http://www.w3.org/1998/Math/MathML",b);break;default:switch(b){case"svg":v=A.createElementNS("http://www.w3.org/2000/svg",b);break;case"math":v=A.createElementNS("http://www.w3.org/1998/Math/MathML",b);break;case"script":v=A.createElement("div"),v.innerHTML="<script><\/script>",v=v.removeChild(v.firstChild);break;case"select":v=typeof u.is=="string"?A.createElement("select",{is:u.is}):A.createElement("select"),u.multiple?v.multiple=!0:u.size&&(v.size=u.size);break;default:v=typeof u.is=="string"?A.createElement(b,{is:u.is}):A.createElement(b)}}v[Ut]=i,v[mn]=u;e:for(A=i.child;A!==null;){if(A.tag===5||A.tag===6)v.appendChild(A.stateNode);else if(A.tag!==4&&A.tag!==27&&A.child!==null){A.child.return=A,A=A.child;continue}if(A===i)break e;for(;A.sibling===null;){if(A.return===null||A.return===i)break e;A=A.return}A.sibling.return=A.return,A=A.sibling}i.stateNode=v;e:switch(_n(v,b,u),b){case"button":case"input":case"select":case"textarea":u=!!u.autoFocus;break 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x===62?(e.exit("autolinkProtocol"),e.enter("autolinkMarker"),e.consume(x),e.exit("autolinkMarker"),e.exit("autolink"),t):x===null||x===32||x===60||_u(x)?r(x):(e.consume(x),f)}function h(x){return x===64?(e.consume(x),m):mM(x)?(e.consume(x),h):r(x)}function m(x){return Tn(x)?p(x):r(x)}function p(x){return x===46?(e.consume(x),a=0,m):x===62?(e.exit("autolinkProtocol").type="autolinkEmail",e.enter("autolinkMarker"),e.consume(x),e.exit("autolinkMarker"),e.exit("autolink"),t):y(x)}function y(x){if((x===45||Tn(x))&&a++<63){const _=x===45?y:p;return e.consume(x),_}return r(x)}}const Oo={partial:!0,tokenize:kM};function kM(e,t,r){return a;function a(o){return tt(o)?ot(e,s,"linePrefix")(o):s(o)}function s(o){return o===null||Be(o)?t(o):r(o)}}const pw={continuation:{tokenize:CM},exit:AM,name:"blockQuote",tokenize:TM};function TM(e,t,r){const a=this;return s;function s(c){if(c===62){const d=a.containerState;return 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s=0,o,c;return d;function d(p){return e.enter("characterReference"),e.enter("characterReferenceMarker"),e.consume(p),e.exit("characterReferenceMarker"),f}function f(p){return p===35?(e.enter("characterReferenceMarkerNumeric"),e.consume(p),e.exit("characterReferenceMarkerNumeric"),h):(e.enter("characterReferenceValue"),o=31,c=Tn,m(p))}function h(p){return p===88||p===120?(e.enter("characterReferenceMarkerHexadecimal"),e.consume(p),e.exit("characterReferenceMarkerHexadecimal"),e.enter("characterReferenceValue"),o=6,c=pM,m):(e.enter("characterReferenceValue"),o=7,c=Gm,m(p))}function m(p){if(p===59&&s){const y=e.exit("characterReferenceValue");return c===Tn&&!Mp(a.sliceSerialize(y))?r(p):(e.enter("characterReferenceMarker"),e.consume(p),e.exit("characterReferenceMarker"),e.exit("characterReference"),t)}return c(p)&&s++<o?(e.consume(p),m):r(p)}}const Ny={partial:!0,tokenize:DM},Sy={concrete:!0,name:"codeFenced",tokenize:RM};function RM(e,t,r){const a=this,s={partial:!0,tokenize:I};let 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x===62?(e.exit("autolinkProtocol"),e.enter("autolinkMarker"),e.consume(x),e.exit("autolinkMarker"),e.exit("autolink"),t):x===null||x===32||x===60||_u(x)?r(x):(e.consume(x),f)}function h(x){return x===64?(e.consume(x),m):mM(x)?(e.consume(x),h):r(x)}function m(x){return Cn(x)?p(x):r(x)}function p(x){return x===46?(e.consume(x),a=0,m):x===62?(e.exit("autolinkProtocol").type="autolinkEmail",e.enter("autolinkMarker"),e.consume(x),e.exit("autolinkMarker"),e.exit("autolink"),t):y(x)}function y(x){if((x===45||Cn(x))&&a++<63){const _=x===45?y:p;return e.consume(x),_}return r(x)}}const Oo={partial:!0,tokenize:kM};function kM(e,t,r){return a;function a(o){return tt(o)?ot(e,s,"linePrefix")(o):s(o)}function s(o){return o===null||Be(o)?t(o):r(o)}}const pw={continuation:{tokenize:CM},exit:AM,name:"blockQuote",tokenize:TM};function TM(e,t,r){const a=this;return s;function s(c){if(c===62){const d=a.containerState;return 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s=0,o,c;return d;function d(p){return e.enter("characterReference"),e.enter("characterReferenceMarker"),e.consume(p),e.exit("characterReferenceMarker"),f}function f(p){return p===35?(e.enter("characterReferenceMarkerNumeric"),e.consume(p),e.exit("characterReferenceMarkerNumeric"),h):(e.enter("characterReferenceValue"),o=31,c=Cn,m(p))}function h(p){return p===88||p===120?(e.enter("characterReferenceMarkerHexadecimal"),e.consume(p),e.exit("characterReferenceMarkerHexadecimal"),e.enter("characterReferenceValue"),o=6,c=pM,m):(e.enter("characterReferenceValue"),o=7,c=Gm,m(p))}function m(p){if(p===59&&s){const y=e.exit("characterReferenceValue");return c===Cn&&!Mp(a.sliceSerialize(y))?r(p):(e.enter("characterReferenceMarker"),e.consume(p),e.exit("characterReferenceMarker"),e.exit("characterReference"),t)}return c(p)&&s++<o?(e.consume(p),m):r(p)}}const Ny={partial:!0,tokenize:DM},Sy={concrete:!0,name:"codeFenced",tokenize:RM};function RM(e,t,r){const a=this,s={partial:!0,tokenize:I};let 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R===null||Be(R)?(e.exit("chunkString"),e.exit("codeFencedFenceMeta"),p(R)):R===96&&R===d?r(R):(e.consume(R),_)}function N(R){return e.attempt(s,M,S)(R)}function S(R){return e.enter("lineEnding"),e.consume(R),e.exit("lineEnding"),w}function w(R){return o>0&&tt(R)?ot(e,k,"linePrefix",o+1)(R):k(R)}function k(R){return R===null||Be(R)?e.check(Ny,N,M)(R):(e.enter("codeFlowValue"),E(R))}function E(R){return R===null||Be(R)?(e.exit("codeFlowValue"),k(R)):(e.consume(R),E)}function M(R){return e.exit("codeFenced"),t(R)}function I(R,U,B){let Z=0;return D;function D($){return R.enter("lineEnding"),R.consume($),R.exit("lineEnding"),z}function z($){return R.enter("codeFencedFence"),tt($)?ot(R,V,"linePrefix",a.parser.constructs.disable.null.includes("codeIndented")?void 0:4)($):V($)}function V($){return $===d?(R.enter("codeFencedFenceSequence"),P($)):B($)}function P($){return $===d?(Z++,R.consume($),P):Z>=c?(R.exit("codeFencedFenceSequence"),tt($)?ot(R,C,"whitespace")($):C($)):B($)}function 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rd={position:"absolute",width:"100%",height:"100%",top:0,left:0},g8=e=>({userSelectionActive:e.userSelectionActive,lib:e.lib,connectionInProgress:e.connection.inProgress});function b8({onPaneContextMenu:e,zoomOnScroll:t=!0,zoomOnPinch:r=!0,panOnScroll:a=!1,panOnScrollSpeed:s=.5,panOnScrollMode:o=Pa.Free,zoomOnDoubleClick:c=!0,panOnDrag:d=!0,defaultViewport:f,translateExtent:h,minZoom:m,maxZoom:p,zoomActivationKeyCode:y,preventScrolling:x=!0,children:_,noWheelClassName:N,noPanClassName:S,onViewportChange:w,isControlledViewport:k,paneClickDistance:E,selectionOnDrag:M}){const I=Lt(),R=ee.useRef(null),{userSelectionActive:U,lib:B,connectionInProgress:Z}=dt(g8,qt),D=ko(y),z=ee.useRef();p8(R);const P=ee.useCallback(V=>{w==null||w({x:V[0],y:V[1],zoom:V[2]}),k||I.setState({transform:V})},[w,k]);return ee.useEffect(()=>{if(R.current){z.current=wI({domNode:R.current,minZoom:m,maxZoom:p,translateExtent:h,viewport:f,onDraggingChange:O=>I.setState(H=>H.paneDragging===O?H:{paneDragging:O}),onPanZoomStart:(O,H)=>{const{onViewportChangeStart:X,onMoveStart:K}=I.getState();K==null||K(O,H),X==null||X(H)},onPanZoom:(O,H)=>{const{onViewportChange:X,onMove:K}=I.getState();K==null||K(O,H),X==null||X(H)},onPanZoomEnd:(O,H)=>{const{onViewportChangeEnd:X,onMoveEnd:K}=I.getState();K==null||K(O,H),X==null||X(H)}});const{x:V,y:A,zoom:$}=z.current.getViewport();return I.setState({panZoom:z.current,transform:[V,A,$],domNode:R.current.closest(".react-flow")}),()=>{var O;(O=z.current)==null||O.destroy()}}},[]),ee.useEffect(()=>{var V;(V=z.current)==null||V.update({onPaneContextMenu:e,zoomOnScroll:t,zoomOnPinch:r,panOnScroll:a,panOnScrollSpeed:s,panOnScrollMode:o,zoomOnDoubleClick:c,panOnDrag:d,zoomActivationKeyPressed:D,preventScrolling:x,noPanClassName:S,userSelectionActive:U,noWheelClassName:N,lib:B,onTransformChange:P,connectionInProgress:Z,selectionOnDrag:M,paneClickDistance:E})},[e,t,r,a,s,o,c,d,D,x,S,U,N,B,P,Z,M,E]),g.jsx("div",{className:"react-flow__renderer",ref:R,style:rd,children:_})}const x8=e=>({userSelectionActive:e.userSelectionActive,userSelectionRect:e.userSelectionRect});function y8(){const{userSelectionActive:e,userSelectionRect:t}=dt(x8,qt);return e&&t?g.jsx("div",{className:"react-flow__selection react-flow__container",style:{width:t.width,height:t.height,transform:`translate(${t.x}px, ${t.y}px)`}}):null}const Tm=(e,t)=>r=>{r.target===t.current&&(e==null||e(r))},v8=e=>({userSelectionActive:e.userSelectionActive,elementsSelectable:e.elementsSelectable,dragging:e.paneDragging,panBy:e.panBy,autoPanSpeed:e.autoPanSpeed});function _8({isSelecting:e,selectionKeyPressed:t,selectionMode:r=Eo.Full,panOnDrag:a,autoPanOnSelection:s,paneClickDistance:o,selectionOnDrag:c,onSelectionStart:d,onSelectionEnd:f,onPaneClick:h,onPaneContextMenu:m,onPaneScroll:p,onPaneMouseEnter:y,onPaneMouseMove:x,onPaneMouseLeave:_,children:N}){const S=ee.useRef(0),w=Lt(),{userSelectionActive:k,elementsSelectable:E,dragging:M,panBy:I,autoPanSpeed:R}=dt(v8,qt),U=E&&(e||k),B=ee.useRef(null),Z=ee.useRef(),D=ee.useRef(new Set),z=ee.useRef(new Set),P=ee.useRef(!1),V=ee.useRef(!1),A=ee.useRef({x:0,y:0}),$=ee.useRef(!1),O=W=>{if(V.current||P.current||w.getState().connection.inProgress){V.current=!1,P.current=!1;return}h==null||h(W),w.getState().resetSelectedElements(),w.setState({nodesSelectionActive:!1})},H=W=>{if(Array.isArray(a)&&(a!=null&&a.includes(2))){W.preventDefault();return}m==null||m(W)},X=p?W=>p(W):void 0,K=W=>{V.current&&(W.stopPropagation(),V.current=!1)},T=W=>{var st,Rt;const{domNode:te,transform:ce}=w.getState();if(Z.current=te==null?void 0:te.getBoundingClientRect(),!Z.current)return;const fe=W.target===B.current;if(!fe&&!!W.target.closest(".nokey")||!e||!(c&&fe||t)||W.button!==0||!W.isPrimary)return;(Rt=(st=W.target)==null?void 0:st.setPointerCapture)==null||Rt.call(st,W.pointerId),V.current=!1;const{x:Ne,y:je}=Rr(W.nativeEvent,Z.current),$e=Bo({x:Ne,y:je},ce);w.setState({userSelectionRect:{width:0,height:0,startX:$e.x,startY:$e.y,x:Ne,y:je}}),fe||(W.stopPropagation(),W.preventDefault())};function j(W,te){const{userSelectionRect:ce}=w.getState();if(!ce)return;const{transform:fe,nodeLookup:be,edgeLookup:we,connectionLookup:Ne,triggerNodeChanges:je,triggerEdgeChanges:$e,defaultEdgeOptions:st}=w.getState(),Rt={x:ce.startX,y:ce.startY},{x:Yt,y:Pt}=Ws(Rt,fe),Xt={startX:Rt.x,startY:Rt.y,x:W<Yt?W:Yt,y:te<Pt?te:Pt,width:Math.abs(W-Yt),height:Math.abs(te-Pt)},Yn=D.current,wn=z.current;D.current=new Set(Jp(be,Xt,fe,r===Eo.Partial,!0).map(It=>It.id)),z.current=new Set;const ct=(st==null?void 0:st.selectable)??!0;for(const It of D.current){const ue=Ne.get(It);if(ue)for(const{edgeId:xe}of ue.values()){const Oe=we.get(xe);Oe&&(Oe.selectable??ct)&&z.current.add(xe)}}if(!i1(Yn,D.current)){const It=Hs(be,D.current,!0);je(It)}if(!i1(wn,z.current)){const It=Hs(we,z.current);$e(It)}w.setState({userSelectionRect:Xt,userSelectionActive:!0,nodesSelectionActive:!1})}function Y(){if(!s||!Z.current)return;const[W,te]=eg(A.current,Z.current,R);I({x:W,y:te}).then(ce=>{if(!V.current||!ce){S.current=requestAnimationFrame(Y);return}const{x:fe,y:be}=A.current;j(fe,be),S.current=requestAnimationFrame(Y)})}const L=()=>{cancelAnimationFrame(S.current),S.current=0,$.current=!1};ee.useEffect(()=>()=>L(),[]);const G=W=>{const{userSelectionRect:te,transform:ce,resetSelectedElements:fe}=w.getState();if(!Z.current||!te)return;const{x:be,y:we}=Rr(W.nativeEvent,Z.current);A.current={x:be,y:we};const Ne=Ws({x:te.startX,y:te.startY},ce);if(!V.current){const je=t?0:o;if(Math.hypot(be-Ne.x,we-Ne.y)<=je)return;fe(),d==null||d(W)}V.current=!0,$.current||(Y(),$.current=!0),j(be,we)},q=W=>{var te,ce;if(!U){W.target===B.current&&w.getState().connection.inProgress&&(P.current=!0);return}W.button===0&&((ce=(te=W.target)==null?void 0:te.releasePointerCapture)==null||ce.call(te,W.pointerId),!k&&W.target===B.current&&w.getState().userSelectionRect&&(O==null||O(W)),w.setState({userSelectionActive:!1,userSelectionRect:null}),V.current&&(f==null||f(W),w.setState({nodesSelectionActive:D.current.size>0})),L())},Q=W=>{var te,ce;(ce=(te=W.target)==null?void 0:te.releasePointerCapture)==null||ce.call(te,W.pointerId),L()},J=a===!0||Array.isArray(a)&&a.includes(0);return g.jsxs("div",{className:ln(["react-flow__pane",{draggable:J,dragging:M,selection:e}]),onClick:U?void 0:Tm(O,B),onContextMenu:Tm(H,B),onWheel:Tm(X,B),onPointerEnter:U?void 0:y,onPointerMove:U?G:x,onPointerUp:q,onPointerCancel:U?Q:void 0,onPointerDownCapture:U?T:void 0,onClickCapture:U?K:void 0,onPointerLeave:_,ref:B,style:rd,children:[N,g.jsx(y8,{})]})}function dp({id:e,store:t,unselect:r=!1,nodeRef:a}){const{addSelectedNodes:s,unselectNodesAndEdges:o,multiSelectionActive:c,nodeLookup:d,onError:f}=t.getState(),h=d.get(e);if(!h){f==null||f("012",Lr.error012(e));return}t.setState({nodesSelectionActive:!1}),h.selected?(r||h.selected&&c)&&(o({nodes:[h],edges:[]}),requestAnimationFrame(()=>{var m;return(m=a==null?void 0:a.current)==null?void 0:m.blur()})):s([e])}function EN({nodeRef:e,disabled:t=!1,noDragClassName:r,handleSelector:a,nodeId:s,isSelectable:o,nodeClickDistance:c}){const d=Lt(),[f,h]=ee.useState(!1),m=ee.useRef();return ee.useEffect(()=>{if(!t)return m.current=oI({getStoreItems:()=>d.getState(),onNodeMouseDown:p=>{dp({id:p,store:d,nodeRef:e})},onDragStart:()=>{h(!0)},onDragStop:()=>{h(!1)}}),()=>{var p;(p=m.current)==null||p.destroy(),m.current=void 0}},[t,d,e]),ee.useEffect(()=>{t||!e.current||!m.current||m.current.update({noDragClassName:r,handleSelector:a,domNode:e.current,isSelectable:o,nodeId:s,nodeClickDistance:c})},[r,a,t,o,e,s,c]),f}const w8=e=>t=>t.selected&&(t.draggable||e&&typeof t.draggable>"u");function NN(){const e=Lt();return ee.useCallback(r=>{const{nodeExtent:a,snapToGrid:s,snapGrid:o,nodesDraggable:c,onError:d,updateNodePositions:f,nodeLookup:h,nodeOrigin:m}=e.getState(),p=new Map,y=w8(c),x=s?o[0]:5,_=s?o[1]:5,N=r.direction.x*x*r.factor,S=r.direction.y*_*r.factor;for(const[,w]of h){if(!y(w))continue;let k={x:w.internals.positionAbsolute.x+N,y:w.internals.positionAbsolute.y+S};s&&(k=Io(k,o));const{position:E,positionAbsolute:M}=$E({nodeId:w.id,nextPosition:k,nodeLookup:h,nodeExtent:a,nodeOrigin:m,onError:d});w.position=E,w.internals.positionAbsolute=M,p.set(w.id,w)}f(p)},[])}const og=ee.createContext(null),E8=og.Provider;og.Consumer;const SN=()=>ee.useContext(og),N8=e=>({connectOnClick:e.connectOnClick,noPanClassName:e.noPanClassName,rfId:e.rfId}),kN=ee.createContext(null);function S8({children:e}){const t=dt(N8,qt);return g.jsx(kN.Provider,{value:t,children:e})}function k8(){const e=ee.useContext(kN);if(!e)throw new Error("useHandleConfig must be used within a HandleConfigProvider");return e}const T8={connectingFrom:!1,connectingTo:!1,clickConnecting:!1,isPossibleEndHandle:!0,connectionInProcess:!1,clickConnectionInProcess:!1,valid:!1},C8=(e,t,r)=>a=>{const{connectionClickStartHandle:s,connectionMode:o,connection:c}=a,{fromHandle:d,toHandle:f,isValid:h}=c;if(!d&&!s)return T8;const m=(f==null?void 0:f.nodeId)===e&&(f==null?void 0:f.id)===t&&(f==null?void 0:f.type)===r;return{connectingFrom:(d==null?void 0:d.nodeId)===e&&(d==null?void 0:d.id)===t&&(d==null?void 0:d.type)===r,connectingTo:m,clickConnecting:(s==null?void 0:s.nodeId)===e&&(s==null?void 0:s.id)===t&&(s==null?void 0:s.type)===r,isPossibleEndHandle:o===Zs.Strict?(d==null?void 0:d.type)!==r:e!==(d==null?void 0:d.nodeId)||t!==(d==null?void 0:d.id),connectionInProcess:!!d,clickConnectionInProcess:!!s,valid:m&&h}};function A8({type:e="source",position:t=ze.Top,isValidConnection:r,isConnectable:a=!0,isConnectableStart:s=!0,isConnectableEnd:o=!0,id:c,onConnect:d,children:f,className:h,onMouseDown:m,onTouchStart:p,...y},x){var $,O;const _=c||null,N=e==="target",S=Lt(),w=SN(),{connectOnClick:k,noPanClassName:E,rfId:M}=k8(),{connectingFrom:I,connectingTo:R,clickConnecting:U,isPossibleEndHandle:B,connectionInProcess:Z,clickConnectionInProcess:D,valid:z}=dt(C8(w,_,e),qt);w||(O=($=S.getState()).onError)==null||O.call($,"010",Lr.error010());const P=H=>{const{defaultEdgeOptions:X,onConnect:K,hasDefaultEdges:T}=S.getState(),j={...X,...H};if(T){const{edges:Y,setEdges:L,onError:G}=S.getState();L(l8(j,Y,{onError:G}))}K==null||K(j),d==null||d(j)},V=H=>{if(!w)return;const X=ZE(H.nativeEvent);if(s&&(X&&H.button===0||!X)){const K=S.getState();up.onPointerDown(H.nativeEvent,{handleDomNode:H.currentTarget,autoPanOnConnect:K.autoPanOnConnect,connectionMode:K.connectionMode,connectionRadius:K.connectionRadius,domNode:K.domNode,nodeLookup:K.nodeLookup,lib:K.lib,isTarget:N,handleId:_,nodeId:w,flowId:K.rfId,panBy:K.panBy,cancelConnection:K.cancelConnection,onConnectStart:K.onConnectStart,onConnectEnd:(...T)=>{var j,Y;return(Y=(j=S.getState()).onConnectEnd)==null?void 0:Y.call(j,...T)},updateConnection:K.updateConnection,onConnect:P,isValidConnection:r||((...T)=>{var j,Y;return((Y=(j=S.getState()).isValidConnection)==null?void 0:Y.call(j,...T))??!0}),getTransform:()=>S.getState().transform,getFromHandle:()=>S.getState().connection.fromHandle,autoPanSpeed:K.autoPanSpeed,dragThreshold:K.connectionDragThreshold})}X?m==null||m(H):p==null||p(H)},A=H=>{const{onClickConnectStart:X,onClickConnectEnd:K,connectionClickStartHandle:T,connectionMode:j,isValidConnection:Y,lib:L,rfId:G,nodeLookup:q,connection:Q}=S.getState();if(!w||!T&&!s)return;if(!T){X==null||X(H.nativeEvent,{nodeId:w,handleId:_,handleType:e}),S.setState({connectionClickStartHandle:{nodeId:w,type:e,id:_}});return}const J=XE(H.target),W=r||Y,{connection:te,isValid:ce}=up.isValid(H.nativeEvent,{handle:{nodeId:w,id:_,type:e},connectionMode:j,fromNodeId:T.nodeId,fromHandleId:T.id||null,fromType:T.type,isValidConnection:W,flowId:G,doc:J,lib:L,nodeLookup:q});ce&&te&&P(te);const fe=structuredClone(Q);delete fe.inProgress,fe.toPosition=fe.toHandle?fe.toHandle.position:null,K==null||K(H,fe),S.setState({connectionClickStartHandle:null})};return g.jsx("div",{"data-handleid":_,"data-nodeid":w,"data-handlepos":t,"data-id":`${M}-${w}-${_}-${e}`,className:ln(["react-flow__handle",`react-flow__handle-${t}`,"nodrag",E,h,{source:!N,target:N,connectable:a,connectablestart:s,connectableend:o,clickconnecting:U,connectingfrom:I,connectingto:R,valid:z,connectionindicator:a&&(!Z||B)&&(Z||D?o:s)}]),onMouseDown:V,onTouchStart:V,onClick:k?A:void 0,ref:x,...y,children:f})}const el=ee.memo(vN(A8));function M8({data:e,isConnectable:t,sourcePosition:r=ze.Bottom}){return g.jsxs(g.Fragment,{children:[e==null?void 0:e.label,g.jsx(el,{type:"source",position:r,isConnectable:t})]})}function O8({data:e,isConnectable:t,targetPosition:r=ze.Top,sourcePosition:a=ze.Bottom}){return g.jsxs(g.Fragment,{children:[g.jsx(el,{type:"target",position:r,isConnectable:t}),e==null?void 0:e.label,g.jsx(el,{type:"source",position:a,isConnectable:t})]})}function R8(){return null}function D8({data:e,isConnectable:t,targetPosition:r=ze.Top}){return g.jsxs(g.Fragment,{children:[g.jsx(el,{type:"target",position:r,isConnectable:t}),e==null?void 0:e.label]})}const Lu={ArrowUp:{x:0,y:-1},ArrowDown:{x:0,y:1},ArrowLeft:{x:-1,y:0},ArrowRight:{x:1,y:0}},L1={input:M8,default:O8,output:D8,group:R8};function j8(e){var t,r,a,s;return e.internals.handleBounds===void 0?{width:e.width??e.initialWidth??((t=e.style)==null?void 0:t.width),height:e.height??e.initialHeight??((r=e.style)==null?void 0:r.height)}:{width:e.width??((a=e.style)==null?void 0:a.width),height:e.height??((s=e.style)==null?void 0:s.height)}}const L8=e=>{const{width:t,height:r,x:a,y:s}=zo(e.nodeLookup,{filter:o=>!!o.selected});return{width:Or(t)?t:null,height:Or(r)?r:null,userSelectionActive:e.userSelectionActive,transformString:`translate(${e.transform[0]}px,${e.transform[1]}px) scale(${e.transform[2]}) translate(${a}px,${s}px)`}};function z8({onSelectionContextMenu:e,noPanClassName:t,disableKeyboardA11y:r}){const a=Lt(),{width:s,height:o,transformString:c,userSelectionActive:d}=dt(L8,qt),f=NN(),h=ee.useRef(null);ee.useEffect(()=>{var x;r||(x=h.current)==null||x.focus({preventScroll:!0})},[r]);const m=!d&&s!==null&&o!==null;if(EN({nodeRef:h,disabled:!m}),!m)return null;const p=e?x=>{const _=a.getState().nodes.filter(N=>N.selected);e(x,_)}:void 0,y=x=>{Object.prototype.hasOwnProperty.call(Lu,x.key)&&(x.preventDefault(),f({direction:Lu[x.key],factor:x.shiftKey?4:1}))};return g.jsx("div",{className:ln(["react-flow__nodesselection","react-flow__container",t]),style:{transform:c},children:g.jsx("div",{ref:h,className:"react-flow__nodesselection-rect",onContextMenu:p,tabIndex:r?void 0:-1,onKeyDown:r?void 0:y,style:{width:s,height:o}})})}const z1=typeof window<"u"?window:void 0,I8=e=>({nodesSelectionActive:e.nodesSelectionActive,userSelectionActive:e.userSelectionActive});function TN({children:e,onPaneClick:t,onPaneMouseEnter:r,onPaneMouseMove:a,onPaneMouseLeave:s,onPaneContextMenu:o,onPaneScroll:c,paneClickDistance:d,deleteKeyCode:f,selectionKeyCode:h,selectionOnDrag:m,selectionMode:p,onSelectionStart:y,onSelectionEnd:x,multiSelectionKeyCode:_,panActivationKeyCode:N,zoomActivationKeyCode:S,elementsSelectable:w,zoomOnScroll:k,zoomOnPinch:E,panOnScroll:M,panOnScrollSpeed:I,panOnScrollMode:R,zoomOnDoubleClick:U,panOnDrag:B,autoPanOnSelection:Z,defaultViewport:D,translateExtent:z,minZoom:P,maxZoom:V,preventScrolling:A,onSelectionContextMenu:$,noWheelClassName:O,noPanClassName:H,disableKeyboardA11y:X,onViewportChange:K,isControlledViewport:T}){const{nodesSelectionActive:j,userSelectionActive:Y}=dt(I8,qt),L=ko(h,{target:z1}),G=ko(N,{target:z1}),q=G||B,Q=G||M,J=m&&q!==!0,W=L||Y||J;return 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H8(e){return dt(ee.useCallback(U8(e),[e]),qt)}const $8=e=>e.updateNodeInternals;function q8(){const e=dt($8),[t]=ee.useState(()=>typeof ResizeObserver>"u"?null:new ResizeObserver(r=>{const a=new Map;r.forEach(s=>{const o=s.target.getAttribute("data-id");a.set(o,{id:o,nodeElement:s.target,force:!0})}),e(a)}));return ee.useEffect(()=>()=>{t==null||t.disconnect()},[t]),t}function P8({node:e,nodeType:t,hasDimensions:r,resizeObserver:a}){const s=Lt(),o=ee.useRef(null),c=ee.useRef(null),d=ee.useRef(e.sourcePosition),f=ee.useRef(e.targetPosition),h=ee.useRef(t),m=r&&!!e.internals.handleBounds;return ee.useEffect(()=>{o.current&&!e.hidden&&(!m||c.current!==o.current)&&(c.current&&(a==null||a.unobserve(c.current)),a==null||a.observe(o.current),c.current=o.current)},[m,e.hidden]),ee.useEffect(()=>()=>{c.current&&(a==null||a.unobserve(c.current),c.current=null)},[]),ee.useEffect(()=>{if(o.current){const 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Z=I.map(O1);N==null||N(I),w(Z)}return(B||U)&&(E==null||E({nodes:I,edges:R})),{deletedNodes:I,deletedEdges:R}},getIntersectingNodes:(p,y=!0,x)=>{const _=r1(p),N=_?p:f(p),S=x!==void 0;return N?(x||t.getState().nodes).filter(w=>{const k=t.getState().nodeLookup.get(w.id);if(k&&!_&&(w.id===p.id||!k.internals.positionAbsolute))return!1;const E=No(S?w:k),M=ju(E,N);return y&&M>0||M>=E.width*E.height||M>=N.width*N.height}):[]},isNodeIntersecting:(p,y,x=!0)=>{const N=r1(p)?p:f(p);if(!N)return!1;const S=ju(N,y);return x&&S>0||S>=y.width*y.height||S>=N.width*N.height},updateNode:h,updateNodeData:(p,y,x={replace:!1})=>{h(p,_=>{const N=typeof y=="function"?y(_):y;return x.replace?{..._,data:N}:{..._,data:{..._.data,...N}}},x)},updateEdge:m,updateEdgeData:(p,y,x={replace:!1})=>{m(p,_=>{const N=typeof y=="function"?y(_):y;return x.replace?{..._,data:N}:{..._,data:{..._.data,...N}}},x)},getNodesBounds:p=>{const{nodeLookup:y,nodeOrigin:x}=t.getState();return Rz(p,{nodeLookup:y,nodeOrigin:x})},getHandleConnections:({type:p,id:y,nodeId:x})=>{var _;return Array.from(((_=t.getState().connectionLookup.get(`${x}-${p}${y?`-${y}`:""}`))==null?void 0:_.values())??[])},getNodeConnections:({type:p,handleId:y,nodeId:x})=>{var _;return Array.from(((_=t.getState().connectionLookup.get(`${x}${p?y?`-${p}-${y}`:`-${p}`:""}`))==null?void 0:_.values())??[])},fitView:async p=>{const y=t.getState().fitViewResolver??Uz();return t.setState({fitViewQueued:!0,fitViewOptions:p,fitViewResolver:y}),r.nodeQueue.push(x=>[...x]),y.promise}}},[]);return ee.useMemo(()=>({...s,...e,viewportInitialized:a}),[a])}const j1=e=>e.selected,h8=typeof window<"u"?window:void 0;function m8({deleteKeyCode:e,multiSelectionKeyCode:t}){const r=Lt(),{deleteElements:a}=Uo(),s=ko(e,{actInsideInputWithModifier:!1}),o=ko(t,{target:h8});ee.useEffect(()=>{if(s){const{edges:c,nodes:d}=r.getState();a({nodes:d.filter(j1),edges:c.filter(j1)}),r.setState({nodesSelectionActive:!1})}},[s]),ee.useEffect(()=>{r.setState({multiSelectionActive:o})},[o])}function p8(e){const t=Lt();ee.useEffect(()=>{const r=()=>{var s,o,c,d;if(!e.current||!(((o=(s=e.current).checkVisibility)==null?void 0:o.call(s))??!0))return!1;const a=ng(e.current);(a.height===0||a.width===0)&&((d=(c=t.getState()).onError)==null||d.call(c,"004",Lr.error004())),t.setState({width:a.width||500,height:a.height||500})};if(e.current){r(),window.addEventListener("resize",r);const a=new ResizeObserver(()=>r());return a.observe(e.current),()=>{window.removeEventListener("resize",r),a&&e.current&&a.unobserve(e.current)}}},[])}const rd={position:"absolute",width:"100%",height:"100%",top:0,left:0},g8=e=>({userSelectionActive:e.userSelectionActive,lib:e.lib,connectionInProgress:e.connection.inProgress});function b8({onPaneContextMenu:e,zoomOnScroll:t=!0,zoomOnPinch:r=!0,panOnScroll:a=!1,panOnScrollSpeed:s=.5,panOnScrollMode:o=Pa.Free,zoomOnDoubleClick:c=!0,panOnDrag:d=!0,defaultViewport:f,translateExtent:h,minZoom:m,maxZoom:p,zoomActivationKeyCode:y,preventScrolling:x=!0,children:_,noWheelClassName:N,noPanClassName:S,onViewportChange:w,isControlledViewport:k,paneClickDistance:E,selectionOnDrag:M}){const I=Lt(),R=ee.useRef(null),{userSelectionActive:U,lib:B,connectionInProgress:Z}=dt(g8,qt),D=ko(y),z=ee.useRef();p8(R);const V=ee.useCallback(P=>{w==null||w({x:P[0],y:P[1],zoom:P[2]}),k||I.setState({transform:P})},[w,k]);return ee.useEffect(()=>{if(R.current){z.current=wI({domNode:R.current,minZoom:m,maxZoom:p,translateExtent:h,viewport:f,onDraggingChange:O=>I.setState(H=>H.paneDragging===O?H:{paneDragging:O}),onPanZoomStart:(O,H)=>{const{onViewportChangeStart:X,onMoveStart:K}=I.getState();K==null||K(O,H),X==null||X(H)},onPanZoom:(O,H)=>{const{onViewportChange:X,onMove:K}=I.getState();K==null||K(O,H),X==null||X(H)},onPanZoomEnd:(O,H)=>{const{onViewportChangeEnd:X,onMoveEnd:K}=I.getState();K==null||K(O,H),X==null||X(H)}});const{x:P,y:C,zoom:$}=z.current.getViewport();return I.setState({panZoom:z.current,transform:[P,C,$],domNode:R.current.closest(".react-flow")}),()=>{var O;(O=z.current)==null||O.destroy()}}},[]),ee.useEffect(()=>{var P;(P=z.current)==null||P.update({onPaneContextMenu:e,zoomOnScroll:t,zoomOnPinch:r,panOnScroll:a,panOnScrollSpeed:s,panOnScrollMode:o,zoomOnDoubleClick:c,panOnDrag:d,zoomActivationKeyPressed:D,preventScrolling:x,noPanClassName:S,userSelectionActive:U,noWheelClassName:N,lib:B,onTransformChange:V,connectionInProgress:Z,selectionOnDrag:M,paneClickDistance:E})},[e,t,r,a,s,o,c,d,D,x,S,U,N,B,V,Z,M,E]),g.jsx("div",{className:"react-flow__renderer",ref:R,style:rd,children:_})}const x8=e=>({userSelectionActive:e.userSelectionActive,userSelectionRect:e.userSelectionRect});function y8(){const{userSelectionActive:e,userSelectionRect:t}=dt(x8,qt);return e&&t?g.jsx("div",{className:"react-flow__selection react-flow__container",style:{width:t.width,height:t.height,transform:`translate(${t.x}px, ${t.y}px)`}}):null}const Tm=(e,t)=>r=>{r.target===t.current&&(e==null||e(r))},v8=e=>({userSelectionActive:e.userSelectionActive,elementsSelectable:e.elementsSelectable,dragging:e.paneDragging,panBy:e.panBy,autoPanSpeed:e.autoPanSpeed});function _8({isSelecting:e,selectionKeyPressed:t,selectionMode:r=Eo.Full,panOnDrag:a,autoPanOnSelection:s,paneClickDistance:o,selectionOnDrag:c,onSelectionStart:d,onSelectionEnd:f,onPaneClick:h,onPaneContextMenu:m,onPaneScroll:p,onPaneMouseEnter:y,onPaneMouseMove:x,onPaneMouseLeave:_,children:N}){const S=ee.useRef(0),w=Lt(),{userSelectionActive:k,elementsSelectable:E,dragging:M,panBy:I,autoPanSpeed:R}=dt(v8,qt),U=E&&(e||k),B=ee.useRef(null),Z=ee.useRef(),D=ee.useRef(new Set),z=ee.useRef(new Set),V=ee.useRef(!1),P=ee.useRef(!1),C=ee.useRef({x:0,y:0}),$=ee.useRef(!1),O=W=>{if(P.current||V.current||w.getState().connection.inProgress){P.current=!1,V.current=!1;return}h==null||h(W),w.getState().resetSelectedElements(),w.setState({nodesSelectionActive:!1})},H=W=>{if(Array.isArray(a)&&(a!=null&&a.includes(2))){W.preventDefault();return}m==null||m(W)},X=p?W=>p(W):void 0,K=W=>{P.current&&(W.stopPropagation(),P.current=!1)},T=W=>{var st,Rt;const{domNode:te,transform:ce}=w.getState();if(Z.current=te==null?void 0:te.getBoundingClientRect(),!Z.current)return;const fe=W.target===B.current;if(!fe&&!!W.target.closest(".nokey")||!e||!(c&&fe||t)||W.button!==0||!W.isPrimary)return;(Rt=(st=W.target)==null?void 0:st.setPointerCapture)==null||Rt.call(st,W.pointerId),P.current=!1;const{x:Ne,y:je}=Rr(W.nativeEvent,Z.current),$e=Bo({x:Ne,y:je},ce);w.setState({userSelectionRect:{width:0,height:0,startX:$e.x,startY:$e.y,x:Ne,y:je}}),fe||(W.stopPropagation(),W.preventDefault())};function j(W,te){const{userSelectionRect:ce}=w.getState();if(!ce)return;const{transform:fe,nodeLookup:be,edgeLookup:we,connectionLookup:Ne,triggerNodeChanges:je,triggerEdgeChanges:$e,defaultEdgeOptions:st}=w.getState(),Rt={x:ce.startX,y:ce.startY},{x:Yt,y:Pt}=Ws(Rt,fe),Xt={startX:Rt.x,startY:Rt.y,x:W<Yt?W:Yt,y:te<Pt?te:Pt,width:Math.abs(W-Yt),height:Math.abs(te-Pt)},Yn=D.current,En=z.current;D.current=new Set(Jp(be,Xt,fe,r===Eo.Partial,!0).map(It=>It.id)),z.current=new Set;const ct=(st==null?void 0:st.selectable)??!0;for(const It of D.current){const ue=Ne.get(It);if(ue)for(const{edgeId:xe}of ue.values()){const Oe=we.get(xe);Oe&&(Oe.selectable??ct)&&z.current.add(xe)}}if(!i1(Yn,D.current)){const It=Hs(be,D.current,!0);je(It)}if(!i1(En,z.current)){const It=Hs(we,z.current);$e(It)}w.setState({userSelectionRect:Xt,userSelectionActive:!0,nodesSelectionActive:!1})}function Y(){if(!s||!Z.current)return;const[W,te]=eg(C.current,Z.current,R);I({x:W,y:te}).then(ce=>{if(!P.current||!ce){S.current=requestAnimationFrame(Y);return}const{x:fe,y:be}=C.current;j(fe,be),S.current=requestAnimationFrame(Y)})}const L=()=>{cancelAnimationFrame(S.current),S.current=0,$.current=!1};ee.useEffect(()=>()=>L(),[]);const G=W=>{const{userSelectionRect:te,transform:ce,resetSelectedElements:fe}=w.getState();if(!Z.current||!te)return;const{x:be,y:we}=Rr(W.nativeEvent,Z.current);C.current={x:be,y:we};const Ne=Ws({x:te.startX,y:te.startY},ce);if(!P.current){const je=t?0:o;if(Math.hypot(be-Ne.x,we-Ne.y)<=je)return;fe(),d==null||d(W)}P.current=!0,$.current||(Y(),$.current=!0),j(be,we)},q=W=>{var te,ce;if(!U){W.target===B.current&&w.getState().connection.inProgress&&(V.current=!0);return}W.button===0&&((ce=(te=W.target)==null?void 0:te.releasePointerCapture)==null||ce.call(te,W.pointerId),!k&&W.target===B.current&&w.getState().userSelectionRect&&(O==null||O(W)),w.setState({userSelectionActive:!1,userSelectionRect:null}),P.current&&(f==null||f(W),w.setState({nodesSelectionActive:D.current.size>0})),L())},Q=W=>{var te,ce;(ce=(te=W.target)==null?void 0:te.releasePointerCapture)==null||ce.call(te,W.pointerId),L()},J=a===!0||Array.isArray(a)&&a.includes(0);return g.jsxs("div",{className:ln(["react-flow__pane",{draggable:J,dragging:M,selection:e}]),onClick:U?void 0:Tm(O,B),onContextMenu:Tm(H,B),onWheel:Tm(X,B),onPointerEnter:U?void 0:y,onPointerMove:U?G:x,onPointerUp:q,onPointerCancel:U?Q:void 0,onPointerDownCapture:U?T:void 0,onClickCapture:U?K:void 0,onPointerLeave:_,ref:B,style:rd,children:[N,g.jsx(y8,{})]})}function dp({id:e,store:t,unselect:r=!1,nodeRef:a}){const{addSelectedNodes:s,unselectNodesAndEdges:o,multiSelectionActive:c,nodeLookup:d,onError:f}=t.getState(),h=d.get(e);if(!h){f==null||f("012",Lr.error012(e));return}t.setState({nodesSelectionActive:!1}),h.selected?(r||h.selected&&c)&&(o({nodes:[h],edges:[]}),requestAnimationFrame(()=>{var m;return(m=a==null?void 0:a.current)==null?void 0:m.blur()})):s([e])}function EN({nodeRef:e,disabled:t=!1,noDragClassName:r,handleSelector:a,nodeId:s,isSelectable:o,nodeClickDistance:c}){const d=Lt(),[f,h]=ee.useState(!1),m=ee.useRef();return ee.useEffect(()=>{if(!t)return m.current=oI({getStoreItems:()=>d.getState(),onNodeMouseDown:p=>{dp({id:p,store:d,nodeRef:e})},onDragStart:()=>{h(!0)},onDragStop:()=>{h(!1)}}),()=>{var p;(p=m.current)==null||p.destroy(),m.current=void 0}},[t,d,e]),ee.useEffect(()=>{t||!e.current||!m.current||m.current.update({noDragClassName:r,handleSelector:a,domNode:e.current,isSelectable:o,nodeId:s,nodeClickDistance:c})},[r,a,t,o,e,s,c]),f}const w8=e=>t=>t.selected&&(t.draggable||e&&typeof t.draggable>"u");function NN(){const e=Lt();return ee.useCallback(r=>{const{nodeExtent:a,snapToGrid:s,snapGrid:o,nodesDraggable:c,onError:d,updateNodePositions:f,nodeLookup:h,nodeOrigin:m}=e.getState(),p=new Map,y=w8(c),x=s?o[0]:5,_=s?o[1]:5,N=r.direction.x*x*r.factor,S=r.direction.y*_*r.factor;for(const[,w]of h){if(!y(w))continue;let k={x:w.internals.positionAbsolute.x+N,y:w.internals.positionAbsolute.y+S};s&&(k=Io(k,o));const{position:E,positionAbsolute:M}=$E({nodeId:w.id,nextPosition:k,nodeLookup:h,nodeExtent:a,nodeOrigin:m,onError:d});w.position=E,w.internals.positionAbsolute=M,p.set(w.id,w)}f(p)},[])}const og=ee.createContext(null),E8=og.Provider;og.Consumer;const SN=()=>ee.useContext(og),N8=e=>({connectOnClick:e.connectOnClick,noPanClassName:e.noPanClassName,rfId:e.rfId}),kN=ee.createContext(null);function S8({children:e}){const t=dt(N8,qt);return g.jsx(kN.Provider,{value:t,children:e})}function k8(){const e=ee.useContext(kN);if(!e)throw new Error("useHandleConfig must be used within a HandleConfigProvider");return e}const T8={connectingFrom:!1,connectingTo:!1,clickConnecting:!1,isPossibleEndHandle:!0,connectionInProcess:!1,clickConnectionInProcess:!1,valid:!1},C8=(e,t,r)=>a=>{const{connectionClickStartHandle:s,connectionMode:o,connection:c}=a,{fromHandle:d,toHandle:f,isValid:h}=c;if(!d&&!s)return T8;const m=(f==null?void 0:f.nodeId)===e&&(f==null?void 0:f.id)===t&&(f==null?void 0:f.type)===r;return{connectingFrom:(d==null?void 0:d.nodeId)===e&&(d==null?void 0:d.id)===t&&(d==null?void 0:d.type)===r,connectingTo:m,clickConnecting:(s==null?void 0:s.nodeId)===e&&(s==null?void 0:s.id)===t&&(s==null?void 0:s.type)===r,isPossibleEndHandle:o===Zs.Strict?(d==null?void 0:d.type)!==r:e!==(d==null?void 0:d.nodeId)||t!==(d==null?void 0:d.id),connectionInProcess:!!d,clickConnectionInProcess:!!s,valid:m&&h}};function A8({type:e="source",position:t=ze.Top,isValidConnection:r,isConnectable:a=!0,isConnectableStart:s=!0,isConnectableEnd:o=!0,id:c,onConnect:d,children:f,className:h,onMouseDown:m,onTouchStart:p,...y},x){var $,O;const _=c||null,N=e==="target",S=Lt(),w=SN(),{connectOnClick:k,noPanClassName:E,rfId:M}=k8(),{connectingFrom:I,connectingTo:R,clickConnecting:U,isPossibleEndHandle:B,connectionInProcess:Z,clickConnectionInProcess:D,valid:z}=dt(C8(w,_,e),qt);w||(O=($=S.getState()).onError)==null||O.call($,"010",Lr.error010());const V=H=>{const{defaultEdgeOptions:X,onConnect:K,hasDefaultEdges:T}=S.getState(),j={...X,...H};if(T){const{edges:Y,setEdges:L,onError:G}=S.getState();L(l8(j,Y,{onError:G}))}K==null||K(j),d==null||d(j)},P=H=>{if(!w)return;const X=ZE(H.nativeEvent);if(s&&(X&&H.button===0||!X)){const K=S.getState();up.onPointerDown(H.nativeEvent,{handleDomNode:H.currentTarget,autoPanOnConnect:K.autoPanOnConnect,connectionMode:K.connectionMode,connectionRadius:K.connectionRadius,domNode:K.domNode,nodeLookup:K.nodeLookup,lib:K.lib,isTarget:N,handleId:_,nodeId:w,flowId:K.rfId,panBy:K.panBy,cancelConnection:K.cancelConnection,onConnectStart:K.onConnectStart,onConnectEnd:(...T)=>{var j,Y;return(Y=(j=S.getState()).onConnectEnd)==null?void 0:Y.call(j,...T)},updateConnection:K.updateConnection,onConnect:V,isValidConnection:r||((...T)=>{var j,Y;return((Y=(j=S.getState()).isValidConnection)==null?void 0:Y.call(j,...T))??!0}),getTransform:()=>S.getState().transform,getFromHandle:()=>S.getState().connection.fromHandle,autoPanSpeed:K.autoPanSpeed,dragThreshold:K.connectionDragThreshold})}X?m==null||m(H):p==null||p(H)},C=H=>{const{onClickConnectStart:X,onClickConnectEnd:K,connectionClickStartHandle:T,connectionMode:j,isValidConnection:Y,lib:L,rfId:G,nodeLookup:q,connection:Q}=S.getState();if(!w||!T&&!s)return;if(!T){X==null||X(H.nativeEvent,{nodeId:w,handleId:_,handleType:e}),S.setState({connectionClickStartHandle:{nodeId:w,type:e,id:_}});return}const J=XE(H.target),W=r||Y,{connection:te,isValid:ce}=up.isValid(H.nativeEvent,{handle:{nodeId:w,id:_,type:e},connectionMode:j,fromNodeId:T.nodeId,fromHandleId:T.id||null,fromType:T.type,isValidConnection:W,flowId:G,doc:J,lib:L,nodeLookup:q});ce&&te&&V(te);const fe=structuredClone(Q);delete fe.inProgress,fe.toPosition=fe.toHandle?fe.toHandle.position:null,K==null||K(H,fe),S.setState({connectionClickStartHandle:null})};return 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diff --git a/strix/viewer/static/index.html b/strix/viewer/static/index.html
index 782ca453..4c12d49d 100644
--- a/strix/viewer/static/index.html
+++ b/strix/viewer/static/index.html
@@ -6,8 +6,8 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <meta name="color-scheme" content="dark" />
     <title>Strix Results</title>
-    <script type="module" crossorigin src="./assets/index-BNKUksp9.js"></script>
-    <link rel="stylesheet" crossorigin href="./assets/index-BdiSGmzb.css">
+    <script type="module" crossorigin src="./assets/index-e2r6VuTm.js"></script>
+    <link rel="stylesheet" crossorigin href="./assets/index-vV8wxCG6.css">
   </head>
   <body>
     <div id="root"></div>
diff --git a/tests/test_auth_cli.py b/tests/test_auth_cli.py
new file mode 100644
index 00000000..9b66a2db
--- /dev/null
+++ b/tests/test_auth_cli.py
@@ -0,0 +1,106 @@
+"""Tests for the `strix auth` CLI: subcommand routing and provider naming."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING, Any
+
+import pytest
+
+from strix.config import codex
+from strix.interface import auth_cli
+
+
+if TYPE_CHECKING:
+    from pathlib import Path
+
+
+@pytest.fixture(autouse=True)
+def _tmp_store(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+    monkeypatch.setattr(codex, "AUTH_PATH", tmp_path / "home" / ".strix" / "subscription-auth.json")
+
+
+def test_login_provider_is_chatgpt() -> None:
+    assert auth_cli.LOGIN_PROVIDER == "chatgpt"
+    assert codex.PROVIDER in auth_cli._ACCEPTED_PROVIDERS
+    assert "chatgpt" in auth_cli._ACCEPTED_PROVIDERS
+
+
+def test_unknown_subcommand_returns_usage_error() -> None:
+    assert auth_cli.run_auth(["bogus"]) == 2
+
+
+def test_help_returns_zero() -> None:
+    assert auth_cli.run_auth(["--help"]) == 0
+
+
+def test_status_not_signed_in() -> None:
+    assert auth_cli.run_auth(["status"]) == 1
+
+
+def test_login_rejects_unsupported_provider(monkeypatch: pytest.MonkeyPatch) -> None:
+    def _should_not_run(*_args: Any, **_kwargs: Any) -> dict[str, Any]:
+        msg = "OAuth flow must not start for an unsupported provider"
+        raise AssertionError(msg)
+
+    monkeypatch.setattr(auth_cli, "_run_oauth_flow", _should_not_run)
+    assert auth_cli.run_auth(["login", "gemini"]) == 2
+
+
+def test_finish_requires_state_on_loopback(monkeypatch: pytest.MonkeyPatch) -> None:
+    monkeypatch.setattr(codex, "exchange_code", lambda *_: {"ok": True})
+
+    # Loopback (require_state=True): missing or mismatched state is rejected.
+    with pytest.raises(codex.CodexAuthError) as missing:
+        auth_cli._finish("code", None, "verifier", "expected", require_state=True)
+    assert missing.value.code == "state_mismatch"
+    with pytest.raises(codex.CodexAuthError) as mismatch:
+        auth_cli._finish("code", "wrong", "verifier", "expected", require_state=True)
+    assert mismatch.value.code == "state_mismatch"
+
+    # Matching state proceeds to the exchange.
+    assert auth_cli._finish("code", "expected", "verifier", "expected", require_state=True) == {
+        "ok": True
+    }
+
+
+def test_finish_manual_paste_allows_absent_state(monkeypatch: pytest.MonkeyPatch) -> None:
+    monkeypatch.setattr(codex, "exchange_code", lambda *_: {"ok": True})
+    # Manual paste (require_state=False): a bare code with no state is accepted,
+    # but a present-and-wrong state is still rejected.
+    assert auth_cli._finish("code", None, "verifier", "expected", require_state=False) == {
+        "ok": True
+    }
+    with pytest.raises(codex.CodexAuthError):
+        auth_cli._finish("code", "wrong", "verifier", "expected", require_state=False)
+
+
+def test_finish_rejects_missing_code() -> None:
+    with pytest.raises(codex.CodexAuthError) as exc:
+        auth_cli._finish(None, "expected", "verifier", "expected", require_state=True)
+    assert exc.value.code == "no_code"
+
+
+def test_model_subcommand_removed() -> None:
+    assert auth_cli.run_auth(["model", "gpt-5.5"]) == 2
+
+
+@pytest.mark.parametrize("provider", ["chatgpt", "codex", "ChatGPT"])
+def test_login_accepts_provider_aliases(provider: str, monkeypatch: pytest.MonkeyPatch) -> None:
+    reached = {"flow": False}
+
+    def _fake_flow(*_args: Any, **_kwargs: Any) -> dict[str, Any]:
+        reached["flow"] = True
+        return {
+            "type": "oauth",
+            "provider": "codex",
+            "access": "a",
+            "refresh": "r",
+            "account_id": "acct",
+            "expires_at": 0,
+        }
+
+    monkeypatch.setattr(auth_cli, "_run_oauth_flow", _fake_flow)
+    monkeypatch.setattr(codex, "save_record", lambda _record: None)
+
+    assert auth_cli.run_auth(["login", provider]) == 0
+    assert reached["flow"] is True
diff --git a/tests/test_codex_auth.py b/tests/test_codex_auth.py
new file mode 100644
index 00000000..13239395
--- /dev/null
+++ b/tests/test_codex_auth.py
@@ -0,0 +1,294 @@
+"""Tests for ChatGPT (Codex) subscription auth: PKCE, token handling, store."""
+
+from __future__ import annotations
+
+import base64
+import hashlib
+import json
+import time
+from typing import TYPE_CHECKING, Any
+
+import pytest
+
+from strix.config import codex
+
+
+if TYPE_CHECKING:
+    from pathlib import Path
+
+
+def _fake_jwt(account_id: str) -> str:
+    def seg(obj: dict[str, Any]) -> str:
+        return base64.urlsafe_b64encode(json.dumps(obj).encode()).rstrip(b"=").decode()
+
+    header = seg({"alg": "none"})
+    payload = seg({"https://api.openai.com/auth": {"chatgpt_account_id": account_id}})
+    return f"{header}.{payload}.sig"
+
+
+@pytest.fixture(autouse=True)
+def _tmp_store(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> Path:
+    path = tmp_path / "home" / ".strix" / "subscription-auth.json"
+    monkeypatch.setattr(codex, "AUTH_PATH", path)
+    return path
+
+
+def test_pkce_challenge_matches_verifier_and_is_unpadded() -> None:
+    verifier, challenge = codex.generate_pkce()
+    expected = (
+        base64.urlsafe_b64encode(hashlib.sha256(verifier.encode()).digest()).rstrip(b"=").decode()
+    )
+    assert challenge == expected
+    assert "=" not in verifier
+    assert "=" not in challenge
+
+
+def test_authorize_url_carries_pkce_and_client() -> None:
+    url = codex.build_authorize_url("chal", "st8")
+    assert codex.AUTHORIZE_URL in url
+    assert "code_challenge=chal" in url
+    assert "code_challenge_method=S256" in url
+    assert f"client_id={codex.CLIENT_ID}" in url
+    assert "state=st8" in url
+
+
+@pytest.mark.parametrize(
+    ("value", "expected"),
+    [
+        ("http://localhost:1455/auth/callback?code=AAA&state=BBB", ("AAA", "BBB")),
+        ("AAA#BBB", ("AAA", "BBB")),
+        ("code=AAA&state=BBB", ("AAA", "BBB")),
+        ("AAA", ("AAA", None)),
+        ("", (None, None)),
+    ],
+)
+def test_parse_redirect_input(value: str, expected: tuple[str | None, str | None]) -> None:
+    assert codex.parse_redirect_input(value) == expected
+
+
+@pytest.mark.parametrize(
+    ("model", "expected"),
+    [
+        ("chatgpt/gpt-5.4", "gpt-5.4"),
+        ("ChatGPT/GPT-5.5", "GPT-5.5"),
+        ("  chatgpt/gpt-5.4  ", "gpt-5.4"),
+        ("openai/gpt-5.4", None),  # metered API path
+        ("anthropic/claude-opus-4-8", None),
+        ("gpt-5.4", None),
+        ("chatgpt/", None),
+        ("", None),
+        (None, None),
+    ],
+)
+def test_subscription_model(model: str | None, expected: str | None) -> None:
+    assert codex.subscription_model(model) == expected
+
+
+def test_auth_mode() -> None:
+    assert codex.auth_mode("chatgpt/gpt-5.4") == "subscription"
+    assert codex.auth_mode("openai/gpt-5.4") == "api_key"
+    assert codex.auth_mode("anthropic/claude-opus-4-8") == "api_key"
+    assert codex.auth_mode(None) == "api_key"
+
+
+def test_is_content_guardrail_error() -> None:
+    # The backend's real wording (from a live gpt-5.6-sol block).
+    raw = RuntimeError(
+        "This content was flagged for possible cybersecurity risk. If this seems "
+        "wrong, try rephrasing. To get authorized, join the Trusted Access for Cyber program."
+    )
+    assert codex.is_content_guardrail_error(raw) is True
+    # The already-typed error is recognized regardless of its message wording.
+    assert codex.is_content_guardrail_error(codex.CodexContentGuardrailError("gpt-5.6-sol")) is True
+    # Unrelated errors are not misclassified.
+    assert codex.is_content_guardrail_error(RuntimeError("rate limit exceeded")) is False
+
+
+def test_content_guardrail_error_message() -> None:
+    err = codex.CodexContentGuardrailError("gpt-5.6-sol")
+    assert err.model == "gpt-5.6-sol"
+    assert "gpt-5.6-sol" in str(err)
+    assert "STRIX_LLM" in str(err)
+
+
+def test_account_id_from_jwt() -> None:
+    assert codex._account_id_from_jwt(_fake_jwt("acct-42")) == "acct-42"
+    assert codex._account_id_from_jwt("not-a-jwt") is None
+    assert codex._account_id_from_jwt("") is None
+
+
+def test_store_roundtrip_and_logout() -> None:
+    assert codex.read_record() is None
+    assert codex.is_authenticated() is False
+
+    codex.save_record(
+        {
+            "type": "oauth",
+            "provider": "codex",
+            "access": _fake_jwt("acct-42"),
+            "refresh": "r1",
+            "account_id": "acct-42",
+            "expires_at": time.time() + 3600,
+        }
+    )
+    record = codex.read_record()
+    assert record is not None
+    assert record["account_id"] == "acct-42"
+    assert codex.is_authenticated() is True
+
+    codex.logout()
+    assert codex.read_record() is None
+    codex.logout()  # no-op when already gone
+
+
+def test_read_record_rejects_incomplete_records() -> None:
+    codex.save_record({"type": "oauth", "access": "a"})  # missing refresh/account
+    assert codex.read_record() is None
+    assert codex.is_authenticated() is False
+
+
+def test_get_valid_token_returns_stored_when_fresh(monkeypatch: pytest.MonkeyPatch) -> None:
+    def _boom(_payload: dict[str, str]) -> dict[str, Any]:
+        msg = "should not refresh a fresh token"
+        raise AssertionError(msg)
+
+    monkeypatch.setattr(codex, "_post_form", _boom)
+    codex.save_record(
+        {
+            "type": "oauth",
+            "provider": "codex",
+            "access": "access-fresh",
+            "refresh": "r1",
+            "account_id": "acct-42",
+            "expires_at": time.time() + 3600,
+        }
+    )
+    assert codex.get_valid_token() == ("access-fresh", "acct-42")
+
+
+def test_get_valid_token_refreshes_and_persists_rotation(monkeypatch: pytest.MonkeyPatch) -> None:
+    calls = {"n": 0}
+
+    def _fake_post(payload: dict[str, str]) -> dict[str, Any]:
+        calls["n"] += 1
+        assert payload["grant_type"] == "refresh_token"
+        assert payload["refresh_token"] == "r1"
+        return {"access_token": _fake_jwt("acct-42"), "refresh_token": "r2", "expires_in": 3600}
+
+    monkeypatch.setattr(codex, "_post_form", _fake_post)
+    codex.save_record(
+        {
+            "type": "oauth",
+            "provider": "codex",
+            "access": "stale",
+            "refresh": "r1",
+            "account_id": "acct-42",
+            "expires_at": time.time() - 10,  # already expired
+        }
+    )
+    _access, account_id = codex.get_valid_token()
+    assert calls["n"] == 1
+    assert account_id == "acct-42"
+    # Rotated refresh token was written back to the store.
+    record = codex.read_record()
+    assert record is not None
+    assert record["refresh"] == "r2"
+
+
+def test_get_valid_token_uses_token_rotated_by_another_process(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    # Simulate a parallel Strix process rotating the token while we wait for the
+    # refresh guard: the pre-guard read sees the stale token, the in-guard read
+    # sees the winner's fresh one, so we must NOT exchange the now-dead refresh.
+    records = [
+        {
+            "type": "oauth",
+            "provider": "codex",
+            "access": "stale",
+            "refresh": "r1",
+            "account_id": "acct",
+            "expires_at": time.time() - 10,
+        },
+        {
+            "type": "oauth",
+            "provider": "codex",
+            "access": "fresh-from-other-process",
+            "refresh": "r2",
+            "account_id": "acct",
+            "expires_at": time.time() + 3600,
+        },
+    ]
+    calls = {"n": 0}
+
+    def _fake_read() -> dict[str, Any]:
+        record = records[min(calls["n"], len(records) - 1)]
+        calls["n"] += 1
+        return record
+
+    def _boom(_payload: dict[str, str]) -> dict[str, Any]:
+        msg = "must not refresh a token another process already rotated"
+        raise AssertionError(msg)
+
+    monkeypatch.setattr(codex, "read_record", _fake_read)
+    monkeypatch.setattr(codex, "_post_form", _boom)
+
+    access, account_id = codex.get_valid_token()
+    assert access == "fresh-from-other-process"
+    assert account_id == "acct"
+
+
+def _expired_record(refresh: str, access: str) -> dict[str, Any]:
+    return {
+        "type": "oauth",
+        "provider": "codex",
+        "access": access,
+        "refresh": refresh,
+        "account_id": "acct-42",
+        "expires_at": time.time() - 10,
+    }
+
+
+def test_get_valid_token_recovers_when_refresh_loses_race(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    # Lock failed open: our in-guard read still saw the stale token, so we tried to
+    # refresh and lost the race (invalid_grant). By then a peer has saved a fresh
+    # token — recover from it instead of failing the scan on the dead one.
+    codex.save_record(_expired_record("r1", "stale"))
+
+    def _fake_post(_payload: dict[str, str]) -> dict[str, Any]:
+        codex.save_record(
+            {
+                "type": "oauth",
+                "provider": "codex",
+                "access": "fresh-from-peer",
+                "refresh": "r2",
+                "account_id": "acct-42",
+                "expires_at": time.time() + 3600,
+            }
+        )
+        raise codex.CodexAuthError("token_http_error", "HTTP 400: invalid_grant")
+
+    monkeypatch.setattr(codex, "_post_form", _fake_post)
+    assert codex.get_valid_token() == ("fresh-from-peer", "acct-42")
+
+
+def test_get_valid_token_reraises_refresh_error_without_rotation(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    # Refresh fails and no peer rotated the token: surface the error, don't mask it.
+    codex.save_record(_expired_record("r1", "stale"))
+
+    def _fake_post(_payload: dict[str, str]) -> dict[str, Any]:
+        raise codex.CodexAuthError("token_http_error", "HTTP 400: invalid_grant")
+
+    monkeypatch.setattr(codex, "_post_form", _fake_post)
+    with pytest.raises(codex.CodexAuthError):
+        codex.get_valid_token()
+
+
+def test_get_valid_token_raises_when_not_signed_in() -> None:
+    with pytest.raises(codex.CodexAuthError) as exc:
+        codex.get_valid_token()
+    assert exc.value.code == "not_authenticated"
diff --git a/tests/test_codex_streaming.py b/tests/test_codex_streaming.py
new file mode 100644
index 00000000..a733ea49
--- /dev/null
+++ b/tests/test_codex_streaming.py
@@ -0,0 +1,225 @@
+"""Regression test for the ChatGPT Codex backend's streaming requirement.
+
+The backend rejects non-streamed requests with ``{"detail": "Stream must be set
+to true"}``. ``_CodexResponsesModel`` must therefore issue a streamed request
+even from the non-streaming ``get_response`` path and aggregate the events into
+a single response. A local server that mimics that behaviour proves the wrapper
+works where the stock responses model would fail.
+"""
+
+from __future__ import annotations
+
+import json
+import threading
+from http.server import BaseHTTPRequestHandler, HTTPServer
+from typing import TYPE_CHECKING, Any
+
+import pytest
+from agents.model_settings import ModelSettings
+from agents.models.interface import ModelTracing
+from agents.models.openai_responses import OpenAIResponsesModel
+from openai import AsyncOpenAI, BadRequestError
+from openai.types.responses import ResponseOutputMessage, ResponseOutputText
+
+from strix.config import codex
+from strix.config.models import _CodexResponsesModel
+
+
+if TYPE_CHECKING:
+    from collections.abc import AsyncIterator, Iterator
+
+
+def _response_payload() -> dict[str, Any]:
+    return {
+        "id": "resp_1",
+        "object": "response",
+        "created_at": 0,
+        "status": "completed",
+        "model": "gpt-5.5",
+        "output": [
+            {
+                "type": "message",
+                "id": "m1",
+                "status": "completed",
+                "role": "assistant",
+                "content": [{"type": "output_text", "text": "OK", "annotations": []}],
+            }
+        ],
+        "usage": {
+            "input_tokens": 1,
+            "output_tokens": 1,
+            "total_tokens": 2,
+            "input_tokens_details": {"cached_tokens": 0},
+            "output_tokens_details": {"reasoning_tokens": 0},
+        },
+        "parallel_tool_calls": False,
+        "tool_choice": "auto",
+        "tools": [],
+        "metadata": {},
+        "temperature": 1.0,
+        "top_p": 1.0,
+        "error": None,
+        "incomplete_details": None,
+        "instructions": None,
+        "max_output_tokens": None,
+    }
+
+
+_CAPTURED: dict[str, Any] = {}
+
+
+class _Handler(BaseHTTPRequestHandler):
+    def log_message(self, *args: Any) -> None:
+        pass
+
+    def do_POST(self) -> None:
+        length = int(self.headers.get("Content-Length", 0))
+        body = json.loads(self.rfile.read(length) or b"{}")
+        _CAPTURED.clear()
+        _CAPTURED.update(body)
+        if not body.get("stream"):
+            payload = json.dumps({"detail": "Stream must be set to true"}).encode()
+            self.send_response(400)
+            self.send_header("Content-Type", "application/json")
+            self.send_header("Content-Length", str(len(payload)))
+            self.end_headers()
+            self.wfile.write(payload)
+            return
+        event = {
+            "type": "response.completed",
+            "sequence_number": 0,
+            "response": _response_payload(),
+        }
+        frame = f"event: response.completed\ndata: {json.dumps(event)}\n\n".encode()
+        self.send_response(200)
+        self.send_header("Content-Type", "text/event-stream")
+        self.end_headers()
+        self.wfile.write(frame)
+
+
+@pytest.fixture
+def backend_url() -> Iterator[str]:
+    server = HTTPServer(("127.0.0.1", 0), _Handler)
+    thread = threading.Thread(target=server.serve_forever, daemon=True)
+    thread.start()
+    try:
+        yield f"http://127.0.0.1:{server.server_address[1]}/backend-api/codex"
+    finally:
+        server.shutdown()
+        server.server_close()
+
+
+def _client(base_url: str) -> AsyncOpenAI:
+    return AsyncOpenAI(api_key="tok", base_url=base_url)
+
+
+def _call_kwargs() -> dict[str, Any]:
+    return {
+        "system_instructions": "s",
+        "input": "hi",
+        "model_settings": ModelSettings(
+            store=False, response_include=["reasoning.encrypted_content"]
+        ),
+        "tools": [],
+        "output_schema": None,
+        "handoffs": [],
+        "tracing": ModelTracing.DISABLED,
+        "previous_response_id": None,
+        "conversation_id": None,
+        "prompt": None,
+    }
+
+
+@pytest.mark.asyncio
+async def test_stock_model_fails_on_non_streamed_backend(backend_url: str) -> None:
+    model = OpenAIResponsesModel(model="gpt-5.5", openai_client=_client(backend_url))
+    with pytest.raises(BadRequestError, match="Stream must be set to true"):
+        await model.get_response(**_call_kwargs())
+
+
+@pytest.mark.asyncio
+async def test_codex_model_streams_and_aggregates(backend_url: str) -> None:
+    model = _CodexResponsesModel(model="gpt-5.5", openai_client=_client(backend_url))
+    response = await model.get_response(**_call_kwargs())
+    message = response.output[0]
+    assert isinstance(message, ResponseOutputMessage)
+    text = message.content[0]
+    assert isinstance(text, ResponseOutputText)
+    assert text.text == "OK"
+    assert response.usage.total_tokens == 2
+
+
+class _TrackingStream:
+    """An async iterator that yields, then raises, and records if it was closed."""
+
+    def __init__(self, events: list[Any], error: Exception | None) -> None:
+        self._events = iter(events)
+        self._error = error
+        self.closed = False
+
+    def __aiter__(self) -> _TrackingStream:
+        return self
+
+    async def __anext__(self) -> Any:
+        try:
+            return next(self._events)
+        except StopIteration:
+            if self._error is not None:
+                raise self._error from None
+            raise StopAsyncIteration from None
+
+    async def aclose(self) -> None:
+        self.closed = True
+
+
+async def _drain(gen: AsyncIterator[Any]) -> list[Any]:
+    return [event async for event in gen]
+
+
+@pytest.mark.asyncio
+async def test_guarded_converts_guardrail_error() -> None:
+    # A mid-stream backend rejection becomes a typed, model-tagged error.
+    model = _CodexResponsesModel(model="gpt-5.6-sol", openai_client=_client("http://x/backend-api"))
+    guardrail = RuntimeError("This content was flagged for possible cybersecurity risk.")
+    stream = _TrackingStream(["a", "b"], guardrail)
+    with pytest.raises(codex.CodexContentGuardrailError) as exc_info:
+        await _drain(model._guarded(stream))
+    assert exc_info.value.model == "gpt-5.6-sol"
+    assert stream.closed is True  # underlying stream is released
+
+
+@pytest.mark.asyncio
+async def test_guarded_passes_through_other_errors() -> None:
+    # A non-guardrail error propagates unchanged (still not swallowed).
+    model = _CodexResponsesModel(model="gpt-5.5", openai_client=_client("http://x/backend-api"))
+    boom = RuntimeError("some unrelated failure")
+    stream = _TrackingStream(["a"], boom)
+    with pytest.raises(RuntimeError, match="some unrelated failure"):
+        await _drain(model._guarded(stream))
+    assert stream.closed is True
+
+
+@pytest.mark.asyncio
+async def test_guarded_yields_all_events_when_clean() -> None:
+    model = _CodexResponsesModel(model="gpt-5.4", openai_client=_client("http://x/backend-api"))
+    stream = _TrackingStream(["a", "b", "c"], None)
+    assert await _drain(model._guarded(stream)) == ["a", "b", "c"]
+    assert stream.closed is True
+
+
+@pytest.mark.asyncio
+async def test_codex_model_self_enforces_backend_requirements(backend_url: str) -> None:
+    # The caller passes ordinary settings; the model must impose the backend's
+    # requirements (stream, store=false, encrypted reasoning) and the configured
+    # reasoning effort itself.
+    model = _CodexResponsesModel(
+        model="gpt-5.4", openai_client=_client(backend_url), reasoning_effort="high"
+    )
+    kwargs = _call_kwargs()
+    kwargs["model_settings"] = ModelSettings()  # nothing special from the caller
+    await model.get_response(**kwargs)
+
+    assert _CAPTURED["stream"] is True
+    assert _CAPTURED["store"] is False
+    assert _CAPTURED["include"] == ["reasoning.encrypted_content"]
+    assert _CAPTURED["reasoning"] == {"effort": "high"}
diff --git a/tests/test_model_retry.py b/tests/test_model_retry.py
index af2ae67a..4cbffbcd 100644
--- a/tests/test_model_retry.py
+++ b/tests/test_model_retry.py
@@ -13,12 +13,15 @@ import asyncio
 
 from agents.retry import ModelRetryNormalizedError, RetryPolicyContext
 
+from strix.config import codex
 from strix.config.models import DEFAULT_MODEL_RETRY, _retry_statusless_provider_errors
 
 
-def _context(normalized: ModelRetryNormalizedError) -> RetryPolicyContext:
+def _context(
+    normalized: ModelRetryNormalizedError, error: Exception | None = None
+) -> RetryPolicyContext:
     return RetryPolicyContext(
-        error=RuntimeError("boom"),
+        error=error or RuntimeError("boom"),
         attempt=1,
         max_retries=5,
         stream=True,
@@ -27,11 +30,11 @@ def _context(normalized: ModelRetryNormalizedError) -> RetryPolicyContext:
     )
 
 
-def _retries(normalized: ModelRetryNormalizedError) -> bool:
+def _retries(normalized: ModelRetryNormalizedError, error: Exception | None = None) -> bool:
     """Evaluate the composed DEFAULT_MODEL_RETRY policy for a normalized error."""
     policy = DEFAULT_MODEL_RETRY.policy
     assert policy is not None
-    decision = asyncio.run(policy(_context(normalized)))
+    decision = asyncio.run(policy(_context(normalized, error)))
     return bool(getattr(decision, "retry", decision))
 
 
@@ -63,6 +66,16 @@ def test_timeout_error_is_retried() -> None:
     assert _retries(ModelRetryNormalizedError(is_network_error=True)) is True
 
 
+def test_content_guardrail_error_is_not_retried() -> None:
+    # A guardrail block is status-less, so it would match the statusless policy;
+    # the guard must keep it from being retried (retrying never clears it).
+    guardrail = codex.CodexContentGuardrailError("gpt-5.6-sol")
+    assert _retries(ModelRetryNormalizedError(status_code=None), guardrail) is False
+    # A raw provider error carrying the backend's wording is excluded too.
+    raw = RuntimeError("This content was flagged for possible cybersecurity risk.")
+    assert _retries(ModelRetryNormalizedError(status_code=None), raw) is False
+
+
 def test_policy_helper_matches_statusless_only() -> None:
     assert _retry_statusless_provider_errors(_context(ModelRetryNormalizedError())) is True
     assert (
diff --git a/tests/test_models.py b/tests/test_models.py
index 7965df56..10b01cc5 100644
--- a/tests/test_models.py
+++ b/tests/test_models.py
@@ -42,9 +42,11 @@ def test_recommended_models_are_matched_case_insensitively() -> None:
     "model_name",
     [
         "gpt-5.5",
+        "chatgpt/gpt-5.4",
         "litellm/openai/gpt-5.4-pro",
         "azure_ai/gpt-5.5-pro",
         "bedrock_mantle/openai.gpt-5.5",
+        "anthropic/claude-opus-5",
         "anthropic/claude-opus-4-8",
         "anthropic.claude-opus-4-8",
         "anthropic/claude-opus-4-7",
@@ -60,8 +62,10 @@ def test_recommended_models_are_matched_case_insensitively() -> None:
         "deepseek/deepseek-reasoner",
         "dashscope/qwen3-max-2026-01-23",
         "qwen3.7-max",
+        "dashscope/qwen3.8-max",
         "moonshot/kimi-k2.6",
         "kimi-k2.7-code",
+        "moonshot/kimi-k3",
     ],
 )
 def test_frontier_model_families_are_accepted(model_name: str) -> None:
diff --git a/tests/test_runner_root_prompt.py b/tests/test_runner_root_prompt.py
index e765b196..aaa8ef6b 100644
--- a/tests/test_runner_root_prompt.py
+++ b/tests/test_runner_root_prompt.py
@@ -46,7 +46,8 @@ def _patch_engine_scaffold(
             reasoning_effort="high",
             force_required_tool_choice=False,
             timeout=300,
-        )
+        ),
+        runtime=types.SimpleNamespace(max_context_images=3),
     )
     monkeypatch.setattr(runner, "load_settings", lambda: settings)
     monkeypatch.setattr(runner, "configure_sdk_model_defaults", lambda _settings: None)
diff --git a/tests/test_usage_subscription.py b/tests/test_usage_subscription.py
new file mode 100644
index 00000000..71fea441
--- /dev/null
+++ b/tests/test_usage_subscription.py
@@ -0,0 +1,46 @@
+"""Subscription runs track tokens but report zero cost."""
+
+from __future__ import annotations
+
+from agents.usage import Usage
+
+from strix.report.usage import LLMUsageLedger
+
+
+def _usage() -> Usage:
+    usage = Usage()
+    usage.requests = 1
+    usage.input_tokens = 1000
+    usage.output_tokens = 200
+    usage.total_tokens = 1200
+    return usage
+
+
+def test_zero_cost_ledger_keeps_tokens_but_reports_no_cost() -> None:
+    ledger = LLMUsageLedger()
+    ledger.zero_cost = True
+    ledger.record(agent_id="a", usage=_usage(), agent_name="strix", model="gpt-5.5")
+
+    record = ledger.to_record()
+    assert record["cost"] == 0.0
+    assert record["total_tokens"] == 1200
+    assert record["input_tokens"] == 1000
+    assert record["output_tokens"] == 200
+    assert ledger.total_cost == 0.0
+
+
+def test_zero_cost_ledger_ignores_observed_cost() -> None:
+    ledger = LLMUsageLedger()
+    ledger.zero_cost = True
+    ledger.record_observed_cost(4.20)
+    assert ledger.total_cost == 0.0
+
+
+def test_normal_ledger_still_estimates_cost() -> None:
+    # Sanity check the flag is opt-in: without it, an OpenAI-native model still
+    # accrues an estimated cost (proves zeroing is what suppresses it).
+    ledger = LLMUsageLedger()
+    ledger.record(agent_id="a", usage=_usage(), agent_name="strix", model="gpt-5.5")
+    assert ledger.to_record()["total_tokens"] == 1200
+    # Cost estimation depends on litellm's cost map; it should be >= 0 and not error.
+    assert ledger.total_cost >= 0.0