feat(web): redesign multi-models console

Overhauls the Models tab in the Web Console with a vendor-first layout and
ships a runtime-accurate dispatcher view for vision and image generation.

channel/web/chat.html

@@ -137,6 +137,11 @@
                             <i class="fas fa-sliders item-icon text-xs w-5 text-center"></i>
                             <span data-i18n="menu_config">配置</span>
                         </a>
+                        <a class="sidebar-item flex items-center gap-3 px-3 py-2 rounded-lg cursor-pointer transition-all duration-150 hover:bg-white/5 hover:text-neutral-200 text-[14px]"
+                           data-view="models">
+                            <i class="fas fa-microchip item-icon text-xs w-5 text-center"></i>
+                            <span data-i18n="menu_models">模型</span>
+                        </a>
                         <a class="sidebar-item flex items-center gap-3 px-3 py-2 rounded-lg cursor-pointer transition-all duration-150 hover:bg-white/5 hover:text-neutral-200 text-[14px]"
                            data-view="skills">
                             <i class="fas fa-bolt item-icon text-xs w-5 text-center"></i>
@@ -850,6 +855,41 @@
                     </div>
                 </div>
 
+                <!-- ====================================================== -->
+                <!-- VIEW: Models                                            -->
+                <!-- ====================================================== -->
+                <div id="view-models" class="view">
+                    <!-- Tailwind JIT safelist: capability-card icon colors are
+                         emitted from JS template strings. Listing them here
+                         (display:none) guarantees the CDN-side compiler picks
+                         them up regardless of render timing. -->
+                    <div class="hidden bg-blue-50 dark:bg-blue-900/30 text-blue-500
+                                       bg-orange-50 dark:bg-orange-900/30 text-orange-500
+                                       bg-purple-50 dark:bg-purple-900/30 text-purple-500
+                                       bg-amber-50 dark:bg-amber-900/30 text-amber-500
+                                       bg-primary-50 dark:bg-primary-900/30 text-primary-500"></div>
+                    <div class="flex-1 overflow-y-auto p-6">
+                        <div class="max-w-4xl mx-auto">
+                            <div class="flex items-center justify-between mb-6">
+                                <div>
+                                    <h2 class="text-xl font-bold text-slate-800 dark:text-slate-100" data-i18n="models_title">模型管理</h2>
+                                    <p class="text-sm text-slate-500 dark:text-slate-400 mt-1" data-i18n="models_desc">统一管理对话、视觉、语音、向量、图像、搜索能力</p>
+                                </div>
+                                <button id="models-add-vendor-btn" onclick="openVendorModal('')"
+                                        class="flex items-center gap-2 px-4 py-2 rounded-lg bg-primary-500 hover:bg-primary-600
+                                               text-white text-sm font-medium cursor-pointer transition-colors duration-150">
+                                    <i class="fas fa-plus text-xs"></i>
+                                    <span data-i18n="models_add_vendor">添加厂商</span>
+                                </button>
+                            </div>
+                            <div id="models-loading" class="flex items-center gap-2 py-12 justify-center text-slate-400 dark:text-slate-500 text-sm">
+                                <i class="fas fa-spinner fa-spin text-xs"></i><span>Loading...</span>
+                            </div>
+                            <div id="models-content" class="grid gap-6 hidden"></div>
+                        </div>
+                    </div>
+                </div>
+
                 <!-- ====================================================== -->
                 <!-- VIEW: Channels                                          -->
                 <!-- ====================================================== -->
@@ -959,7 +999,7 @@
     </div><!-- /app -->
 
     <!-- Confirm Dialog -->
-    <div id="confirm-dialog-overlay" class="fixed inset-0 bg-black/50 z-[100] hidden flex items-center justify-center">
+    <div id="confirm-dialog-overlay" class="fixed inset-0 bg-black/50 z-[200] hidden flex items-center justify-center">
         <div class="bg-white dark:bg-[#1A1A1A] rounded-2xl border border-slate-200 dark:border-white/10 shadow-xl
                     w-full max-w-sm mx-4 overflow-hidden">
             <div class="p-6">
@@ -984,6 +1024,77 @@
         </div>
     </div>
 
+    <!-- Vendor Credentials Modal -->
+    <div id="vendor-modal-overlay" class="fixed inset-0 bg-black/50 z-[100] hidden flex items-center justify-center">
+        <div class="bg-white dark:bg-[#1A1A1A] rounded-2xl border border-slate-200 dark:border-white/10 shadow-xl
+                    w-full max-w-md mx-4 overflow-hidden">
+            <div class="p-6">
+                <div class="flex items-center gap-3 mb-5">
+                    <div class="w-10 h-10 rounded-xl bg-primary-50 dark:bg-primary-900/20 flex items-center justify-center flex-shrink-0">
+                        <i class="fas fa-key text-primary-500"></i>
+                    </div>
+                    <div class="min-w-0 flex-1">
+                        <h3 id="vendor-modal-title" class="font-semibold text-slate-800 dark:text-slate-100 text-base"></h3>
+                        <p id="vendor-modal-subtitle" class="text-xs text-slate-500 dark:text-slate-400 mt-0.5 font-mono"></p>
+                    </div>
+                </div>
+
+                <!-- Provider selector (only visible when adding via top button) -->
+                <div id="vendor-modal-picker-wrap" class="mb-4 hidden">
+                    <label class="block text-sm font-medium text-slate-600 dark:text-slate-400 mb-1.5" data-i18n="models_provider">厂商</label>
+                    <div id="vendor-modal-picker" class="cfg-dropdown" tabindex="0">
+                        <div class="cfg-dropdown-selected">
+                            <span class="cfg-dropdown-text">--</span>
+                            <i class="fas fa-chevron-down cfg-dropdown-arrow"></i>
+                        </div>
+                        <div class="cfg-dropdown-menu"></div>
+                    </div>
+                </div>
+
+                <div class="space-y-4">
+                    <div>
+                        <label class="block text-sm font-medium text-slate-600 dark:text-slate-400 mb-1.5">API Key</label>
+                        <input id="vendor-modal-key" type="text" autocomplete="off" data-1p-ignore data-lpignore="true"
+                               class="w-full px-3 py-2 rounded-lg border border-slate-200 dark:border-slate-600
+                                      bg-slate-50 dark:bg-white/5 text-sm text-slate-800 dark:text-slate-100
+                                      focus:outline-none focus:border-primary-500 font-mono transition-colors"
+                               placeholder="sk-...">
+                    </div>
+                    <div id="vendor-modal-base-wrap">
+                        <label class="block text-sm font-medium text-slate-600 dark:text-slate-400 mb-1.5">API Base</label>
+                        <input id="vendor-modal-base" type="text"
+                               class="w-full px-3 py-2 rounded-lg border border-slate-200 dark:border-slate-600
+                                      bg-slate-50 dark:bg-white/5 text-sm text-slate-800 dark:text-slate-100
+                                      focus:outline-none focus:border-primary-500 font-mono transition-colors"
+                               placeholder="https://...../v1">
+                        <p id="vendor-modal-base-hint" class="mt-1.5 text-xs text-slate-400 dark:text-slate-500 hidden">
+                            <i class="fas fa-info-circle mr-1"></i><span data-i18n="models_base_default_hint">留空将使用官方默认地址</span>
+                        </p>
+                    </div>
+                </div>
+            </div>
+            <div class="flex items-center justify-between gap-3 px-6 py-4 border-t border-slate-100 dark:border-white/5">
+                <button id="vendor-modal-clear"
+                        class="px-3 py-2 rounded-lg text-xs font-medium
+                               text-red-500 dark:text-red-400 hover:bg-red-50 dark:hover:bg-red-900/20
+                               cursor-pointer transition-colors duration-150 hidden"
+                        data-i18n="models_clear_credential">清除凭据</button>
+                <span id="vendor-modal-status"
+                      class="flex-1 text-xs text-primary-500 opacity-0 transition-opacity duration-300 text-center"></span>
+                <button id="vendor-modal-cancel"
+                        class="px-4 py-2 rounded-lg border border-slate-200 dark:border-white/10
+                               text-slate-600 dark:text-slate-300 text-sm font-medium
+                               hover:bg-slate-50 dark:hover:bg-white/5
+                               cursor-pointer transition-colors duration-150"
+                        data-i18n="cancel">取消</button>
+                <button id="vendor-modal-save"
+                        class="px-4 py-2 rounded-lg bg-primary-500 hover:bg-primary-600 text-white text-sm font-medium
+                               cursor-pointer transition-colors duration-150 disabled:opacity-50 disabled:cursor-not-allowed"
+                        data-i18n="save">保存</button>
+            </div>
+        </div>
+    </div>
+
     <script defer src="assets/js/console.js"></script>
 </body>
 </html>

channel/web/static/css/console.css

@@ -725,6 +725,58 @@
     background: rgba(74, 190, 110, 0.15);
     color: #74E9A4;
 }
+/* When an item carries a hint (e.g. brand alias next to a technical model
+   id), label/hint are split into two spans so the hint sits on the right in
+   a dim, smaller weight. Without a hint the row stays a plain text node and
+   uses the default ellipsis behaviour, so no layout regressions for old call
+   sites. */
+.cfg-dropdown-label {
+    flex: 1 1 auto;
+    min-width: 0;
+    overflow: hidden;
+    text-overflow: ellipsis;
+}
+.cfg-dropdown-hint {
+    flex-shrink: 0;
+    margin-left: auto;
+    padding-left: 12px;
+    color: #94a3b8;
+    font-size: 12px;
+    font-weight: 400;
+}
+.dark .cfg-dropdown-hint {
+    color: #64748b;
+}
+.cfg-dropdown-item.active .cfg-dropdown-hint {
+    /* Tint the hint toward the brand colour on the active row so it doesn't
+       fight with the highlighted label tone. */
+    color: rgba(34, 133, 71, 0.65);
+}
+.dark .cfg-dropdown-item.active .cfg-dropdown-hint {
+    color: rgba(116, 233, 164, 0.6);
+}
+/* The active row gets a trailing brand-green checkmark via a Font Awesome
+   pseudo-element so every dropdown (chat / vision / image / asr / tts / etc.)
+   surfaces "this is what's currently selected" without per-call JS plumbing.
+   When a hint is present, the ✓ sits to its right with a small gap; without
+   a hint, margin-left:auto pushes the ✓ flush against the right edge. */
+.cfg-dropdown-item.active::after {
+    content: '\f00c';                  /* FontAwesome check glyph */
+    font-family: 'Font Awesome 6 Free', 'Font Awesome 5 Free', 'FontAwesome';
+    font-weight: 900;
+    margin-left: auto;
+    padding-left: 12px;
+    color: #4abe6e;
+    font-size: 11px;
+    flex-shrink: 0;
+}
+.cfg-dropdown-item.active:has(.cfg-dropdown-hint)::after {
+    /* When hint occupies the auto-margin slot, the ✓ no longer benefits
+       from `margin-left: auto`; replace it with a small fixed gap so the
+       ✓ trails the hint cleanly. */
+    margin-left: 0;
+    padding-left: 10px;
+}
 
 /* API Key masking via CSS (avoids browser password prompts) */
 .cfg-key-masked {
@@ -732,6 +784,77 @@
     text-security: disc;
 }
 
+/* Provider logo image — vendors flagged as `provider-logo-invert-dark`
+   ship a black wordmark that disappears on the dark canvas; we invert their
+   luminance only in dark mode so the brand stays recognizable without
+   touching multi-color marks like Google/MiniMax. */
+.provider-logo-img {
+    object-fit: contain;
+    object-position: center;
+}
+.dark .provider-logo-invert-dark {
+    filter: invert(1) brightness(1.15);
+}
+
+/* Models page — provider dropdown rows.
+   Configured rows look like ordinary picker entries; the .active row's
+   trailing brand-green ✓ already announces "this is what's selected"
+   (handled globally by .cfg-dropdown-item.active::after above).
+   Unconfigured rows are visually subdued and carry a trailing gear icon
+   as a "click to set up" affordance. */
+.cap-provider-label {
+    flex: 1 1 auto;
+    overflow: hidden;
+    text-overflow: ellipsis;
+}
+.cap-provider-gear {
+    margin-left: auto;
+    padding-left: 12px;
+    color: #94a3b8;
+    font-size: 11px;
+    flex-shrink: 0;
+}
+.cap-provider-item.cap-provider-unconfigured {
+    color: #94a3b8;
+}
+.dark .cap-provider-item.cap-provider-unconfigured {
+    color: #64748b;
+}
+.cap-provider-item.cap-provider-unconfigured:hover {
+    color: #475569;
+}
+.dark .cap-provider-item.cap-provider-unconfigured:hover {
+    color: #cbd5e1;
+}
+.cap-provider-item.cap-provider-unconfigured:hover .cap-provider-gear {
+    color: #475569;
+}
+.dark .cap-provider-item.cap-provider-unconfigured:hover .cap-provider-gear {
+    color: #cbd5e1;
+}
+/* If the active row ever lands on an unconfigured vendor (defensive — the
+   click handler normally diverts to the modal), suppress the global ✓ so
+   the gear remains the sole trailing icon and the row keeps reading as
+   "needs setup" rather than "already selected". */
+.cap-provider-item.cap-provider-unconfigured.active::after {
+    content: none;
+}
+
+/* "Add vendor" modal picker — each configured row carries a static
+   brand-green ✓ via decorateVendorModalPicker so users can see what's set
+   up at a glance. The active row's global ✓ is suppressed here to avoid
+   showing two checks side by side on configured + selected rows. */
+.vendor-picker-item.active::after {
+    content: none;
+}
+.vendor-picker-configured-mark {
+    margin-left: auto;
+    padding-left: 12px;
+    color: #4abe6e;
+    font-size: 11px;
+    flex-shrink: 0;
+}
+
 /* Chat Input */
 #chat-input {
     resize: none; height: 42px; max-height: 180px;

channel/web/static/logos/claudeAPI.svg

@@ -0,0 +1 @@
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channel/web/static/logos/custom.svg

@@ -0,0 +1,10 @@
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+  <!-- Horizontal slider tracks -->
+  <line x1="4" y1="7" x2="20" y2="7"/>
+  <line x1="4" y1="12" x2="20" y2="12"/>
+  <line x1="4" y1="17" x2="20" y2="17"/>
+  <!-- Knobs (filled circles) -->
+  <circle cx="9" cy="7"  r="2.2" fill="#475569" stroke="none"/>
+  <circle cx="15" cy="12" r="2.2" fill="#475569" stroke="none"/>
+  <circle cx="7" cy="17"  r="2.2" fill="#475569" stroke="none"/>
+</svg>

channel/web/static/logos/dashscope.svg

@@ -0,0 +1 @@
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channel/web/static/logos/doubao.svg

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channel/web/static/logos/gemini.svg

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channel/web/static/logos/minimax.svg

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channel/web/static/logos/moonshot.svg

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channel/web/static/logos/openai.svg

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channel/web/static/logos/qianfan.svg

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channel/web/static/logos/zhipu.svg

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+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1779251419020" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="10062" xmlns:xlink="http://www.w3.org/1999/xlink" width="200" height="200"><path d="M520.063496 0v77.563152c0 269.231173-144.758953 414.054122-434.212862 434.340854L86.106618 511.968002H76.827198V255.984001l443.236298-255.984001z" fill="#5B55F6" p-id="10063"></path><path d="M520.063496 1023.936004v-77.563152c0-269.231173-144.758953-414.054122-434.212862-434.340854L86.042622 511.968002H76.827198v255.984001l443.236298 255.984001z" fill="#376AF3" p-id="10064"></path><path d="M520.063496 0v77.563152c0 269.231173 144.758953 414.054122 434.276858 434.340854L954.08437 511.968002h9.215424V255.984001L520.063496 0z" fill="#5B55F6" p-id="10065"></path><path d="M520.063496 1023.936004v-77.563152c0-269.231173 144.758953-414.054122 434.276858-434.340854L954.08437 511.968002h9.27942v255.984001l-443.236298 255.984001z" fill="#376AF3" p-id="10066"></path></svg>

channel/web/web_channel.py

@@ -9,7 +9,7 @@ import threading
 import time
 import uuid
 from queue import Queue, Empty
-from typing import Tuple
+from typing import List, Tuple
 
 import web
 
@@ -750,6 +750,7 @@ class WebChannel(ChatChannel):
             '/stream', 'StreamHandler',
             '/chat', 'ChatHandler',
             '/config', 'ConfigHandler',
+            '/api/models', 'ModelsHandler',
             '/api/channels', 'ChannelsHandler',
             '/api/weixin/qrlogin', 'WeixinQrHandler',
             '/api/feishu/register', 'FeishuRegisterHandler',
@@ -1212,6 +1213,744 @@ class ConfigHandler:
             return json.dumps({"status": "error", "message": str(e)})
 
 
+class ModelsHandler:
+    """API for the unified Models console.
+
+    Layered model:
+      Layer 1 (providers): vendor credentials shared across capabilities.
+                            Stored as flat *_api_key / *_api_base fields in
+                            config.json — the same fields ConfigHandler
+                            already manages.
+      Layer 2 (capabilities): which provider/model is used by chat / vision /
+                            asr / tts / embedding / image / search.
+
+    GET  /api/models           -> overview (providers + capabilities)
+    POST /api/models/provider  -> upsert a vendor credential
+    DELETE /api/models/provider -> clear a vendor credential
+    POST /api/models/capability -> set provider/model for a capability
+    """
+
+    # Capability -> editable flag, current-value resolver, and supported provider
+    # ids drawn from ConfigHandler.PROVIDER_MODELS where applicable.
+    _ASR_PROVIDERS = ["openai", "linkai", "baidu", "ali", "xunfei", "azure", "google"]
+    _TTS_PROVIDERS = ["openai", "linkai", "minimax", "baidu", "ali", "xunfei", "azure", "google", "elevenlabs", "edge", "pytts"]
+    _EMBEDDING_PROVIDERS = ["openai", "linkai", "dashscope", "doubao", "zhipu"]
+
+    # Capability-scoped model catalogs. The chat dropdown can reuse the
+    # provider's generic model list, but vision and image generation are
+    # served by a narrower subset that the runtime actually dispatches to —
+    # see agent/tools/vision/vision.py and skills/image-generation/SKILL.md.
+    # Anything not listed here intentionally hides the model dropdown so
+    # users cannot pin a chat-only model and silently get a 4xx at runtime.
+    _VISION_PROVIDER_MODELS = {
+        # OpenAI ordering matches the recommended GPT-5.4 family first, then
+        # GPT-5 and the GPT-4.1/4o backstops.
+        "openai":    [
+            const.GPT_54_MINI,
+            const.GPT_54_NANO,
+            const.GPT_54,
+            const.GPT_5,
+            const.GPT_41,
+            const.GPT_41_MINI,
+            const.GPT_4o,
+        ],
+        "doubao":    [const.DOUBAO_SEED_2_PRO],
+        "moonshot":  [const.KIMI_K2_6],
+        "dashscope": [const.QWEN36_PLUS, const.QWEN35_PLUS, const.QWEN3_MAX],
+        "claudeAPI": [const.CLAUDE_4_6_SONNET, const.CLAUDE_4_7_OPUS, const.CLAUDE_4_6_OPUS],
+        "gemini":    [const.GEMINI_31_FLASH_LITE_PRE, const.GEMINI_31_PRO_PRE, const.GEMINI_3_FLASH_PRE],
+        "qianfan":   [const.ERNIE_45_TURBO_VL],
+        # Zhipu's bot hard-codes the call to glm-5v-turbo regardless of what
+        # name is passed in (see models/zhipuai/zhipuai_bot.py::call_vision),
+        # so listing the chat models here would silently route to the same
+        # endpoint. Surface only the model the runtime can truly dispatch to.
+        "zhipu":     [const.GLM_5V_TURBO],
+        # MiniMax's vision endpoint is similarly hard-coded to MiniMax-Text-01
+        # (see models/minimax/minimax_bot.py::call_vision); the M2.x chat
+        # family is text-only.
+        "minimax":   [const.MINIMAX_TEXT_01],
+        # LinkAI proxies the underlying vendor; surface a curated set of
+        # multimodal models. Order: gpt-4.1-mini → gpt-5.4-mini as the
+        # cross-vendor baselines, then each vendor's recommended default.
+        "linkai":    [
+            const.GPT_41_MINI,
+            const.GPT_54_MINI,
+            const.QWEN36_PLUS,
+            const.DOUBAO_SEED_2_PRO,
+            const.KIMI_K2_6,
+            const.CLAUDE_4_6_SONNET,
+            const.GEMINI_31_FLASH_LITE_PRE,
+        ],
+    }
+
+    # Image-generation catalog. Source of truth: skills/image-generation/SKILL.md.
+    # Listed verbatim (not via const.*) because these are skill-side names
+    # the script forwards directly to the vendor's image endpoint.
+    #
+    # Two shapes are accepted per model entry:
+    #   - bare string                           → the model id, no hint
+    #   - {"value": ..., "hint": "..."}         → model id + dim secondary
+    #                                             label rendered on the right
+    #                                             of the dropdown row. Useful
+    #                                             for surfacing brand names
+    #                                             (e.g. "Nano Banana 2" next
+    #                                             to gemini-3.1-flash-image-preview).
+    # The skill itself maps either form to the real vendor endpoint, so the
+    # hint is purely cosmetic.
+    _IMAGE_PROVIDER_MODELS = {
+        "openai":    ["gpt-image-2", "gpt-image-1"],
+        "gemini": [
+            {"value": "gemini-3.1-flash-image-preview", "hint": "Nano Banana 2"},
+            {"value": "gemini-3-pro-image-preview",     "hint": "Nano Banana Pro"},
+            {"value": "gemini-2.5-flash-image",         "hint": "Nano Banana"},
+        ],
+        "doubao":    ["seedream-5.0-lite", "seedream-4.5"],
+        "dashscope": ["qwen-image-2.0-pro", "qwen-image-2.0"],
+        "minimax":   ["image-01"],
+        "linkai":    ["gpt-image-2", "gemini-3-pro-image-preview", "seedream-5.0-lite"],
+    }
+
+    @staticmethod
+    def _config_path() -> str:
+        return os.path.join(
+            os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))),
+            "config.json",
+        )
+
+    @classmethod
+    def _read_file_config(cls) -> dict:
+        path = cls._config_path()
+        if not os.path.exists(path):
+            return {}
+        with open(path, "r", encoding="utf-8") as f:
+            return json.load(f)
+
+    @classmethod
+    def _write_file_config(cls, data: dict) -> None:
+        with open(cls._config_path(), "w", encoding="utf-8") as f:
+            json.dump(data, f, indent=4, ensure_ascii=False)
+
+    @staticmethod
+    def _is_real_key(value: str) -> bool:
+        return bool(value) and value not in ("", "YOUR API KEY", "YOUR_API_KEY")
+
+    @classmethod
+    def _provider_overview(cls) -> List[dict]:
+        """All known providers (configured first, unconfigured after).
+        Re-uses ConfigHandler.PROVIDER_MODELS for the canonical list."""
+        local_config = conf()
+        items = []
+        for pid, p in ConfigHandler.PROVIDER_MODELS.items():
+            key_field = p.get("api_key_field")
+            base_field = p.get("api_base_key")
+            raw_key = local_config.get(key_field, "") if key_field else ""
+            raw_base = local_config.get(base_field, "") if base_field else ""
+            configured = cls._is_real_key(raw_key)
+            items.append({
+                "id": pid,
+                "label": p["label"],
+                "configured": configured,
+                "api_key_field": key_field,
+                "api_base_field": base_field,
+                "api_key_masked": ConfigHandler._mask_key(raw_key) if configured else "",
+                "api_base": raw_base or (p.get("api_base_default") or ""),
+                "api_base_default": p.get("api_base_default") or "",
+                "api_base_placeholder": p.get("api_base_placeholder") or "",
+                "models": list(p.get("models") or []),
+            })
+        items.sort(key=lambda it: (0 if it["configured"] else 1, list(ConfigHandler.PROVIDER_MODELS.keys()).index(it["id"])))
+        return items
+
+    @classmethod
+    def _chat_capability(cls, local_config: dict) -> dict:
+        """Main chat model — drives the agent. bot_type maps to a provider id."""
+        bot_type = local_config.get("bot_type") or ""
+        provider_id = "openai" if bot_type == "chatGPT" else bot_type
+        if provider_id not in ConfigHandler.PROVIDER_MODELS and local_config.get("use_linkai"):
+            provider_id = "linkai"
+        return {
+            "editable": True,
+            "current_provider": provider_id,
+            "current_model": local_config.get("model", ""),
+            "providers": list(ConfigHandler.PROVIDER_MODELS.keys()),
+            "use_linkai": bool(local_config.get("use_linkai", False)),
+        }
+
+    # Auto-fallback order for vision when no explicit model is pinned.
+    # Mirrors agent/tools/vision/vision.py::_resolve_providers — DeepSeek and
+    # other text-only chat bots are intentionally absent, since they cannot
+    # actually serve a vision request. Each entry is
+    #   (provider_id, api_key_field, default_vision_model)
+    # and lookups are case-insensitive on the api_key_field. LinkAI and
+    # OpenAI are handled separately below so use_linkai can promote LinkAI
+    # to the front of the chain.
+    _VISION_AUTO_ORDER = [
+        ("moonshot",  "moonshot_api_key",  const.KIMI_K2_6),
+        ("doubao",    "ark_api_key",       const.DOUBAO_SEED_2_PRO),
+        ("dashscope", "dashscope_api_key", const.QWEN36_PLUS),
+        ("claudeAPI", "claude_api_key",    const.CLAUDE_4_6_SONNET),
+        ("gemini",    "gemini_api_key",    const.GEMINI_31_FLASH_LITE_PRE),
+        ("qianfan",   "qianfan_api_key",   const.ERNIE_45_TURBO_VL),
+        ("zhipu",     "zhipu_ai_api_key",  const.GLM_5V_TURBO),
+        ("minimax",   "minimax_api_key",   const.MINIMAX_TEXT_01),
+    ]
+
+    @classmethod
+    def _predict_vision_auto(cls, local_config: dict) -> dict:
+        """Predict which provider vision.py will actually dispatch to when
+        no tool.vision.model is set. Mirrors the fallback order in
+        agent/tools/vision/vision.py::_resolve_providers so the UI hint
+        matches reality."""
+        chat = cls._chat_capability(local_config)
+        main_provider = chat["current_provider"]
+        main_model = chat["current_model"]
+        use_linkai_flag = bool(local_config.get("use_linkai", False))
+        linkai_configured = cls._is_real_key(local_config.get("linkai_api_key", ""))
+
+        def _try(pid: str, model_default: str):
+            # Look up the api_key for this provider via the canonical
+            # provider table so we don't hardcode field names here.
+            meta = ConfigHandler.PROVIDER_MODELS.get(pid) or {}
+            key_field = meta.get("api_key_field")
+            if not key_field:
+                return None
+            if not cls._is_real_key(local_config.get(key_field, "")):
+                return None
+            # Pick a model that the vision runtime can actually dispatch to
+            # for this provider. Using `main_model` here is unsafe — for
+            # vendors like Zhipu/MiniMax the bot hard-codes the vision model
+            # name regardless of the chat-model name, so surfacing the chat
+            # model name in the hint is misleading. Trust the curated
+            # _VISION_PROVIDER_MODELS list: prefer the main model only if
+            # it appears there; otherwise show the vendor's first vision-
+            # capable model.
+            allowed = cls._VISION_PROVIDER_MODELS.get(pid, [])
+            if pid == main_provider and main_model and main_model in allowed:
+                return {"provider": pid, "model": main_model}
+            fallback = allowed[0] if allowed else model_default
+            return {"provider": pid, "model": fallback}
+
+        # 1. use_linkai → suppress the hint entirely. LinkAI is a proxy and
+        #    we don't observe which underlying model it picks; surfacing
+        #    "LinkAI" with no model would not tell the user anything useful.
+        if use_linkai_flag and linkai_configured:
+            return {"provider": "", "model": ""}
+
+        # 2. Main bot — only when it natively supports vision. We approximate
+        #    "natively supports" by membership in _VISION_PROVIDER_MODELS,
+        #    which is the same set vision.py's _DISCOVERABLE_MODELS covers
+        #    (minus the chat-only DeepSeek family).
+        if main_provider in cls._VISION_PROVIDER_MODELS:
+            hit = _try(main_provider, main_model)
+            if hit:
+                return hit
+
+        # 3. Other discoverable providers in declared order
+        for pid, _key, default_model in cls._VISION_AUTO_ORDER:
+            hit = _try(pid, default_model)
+            if hit:
+                return hit
+
+        # 4. OpenAI raw HTTP
+        if cls._is_real_key(local_config.get("open_ai_api_key", "")):
+            return {"provider": "openai", "model": const.GPT_41_MINI}
+
+        # 5. LinkAI as last resort (only reached when use_linkai is off)
+        if linkai_configured:
+            return {"provider": "linkai", "model": const.GPT_41_MINI}
+
+        return {"provider": "", "model": ""}
+
+    @classmethod
+    def _vision_capability(cls, local_config: dict) -> dict:
+        """Vision model. tool.vision.model is the explicit override; otherwise
+        the runtime fallback chain in agent/tools/vision/vision.py decides."""
+        tool_conf = local_config.get("tool") or {}
+        if not isinstance(tool_conf, dict):
+            tool_conf = {}
+        vision_conf = tool_conf.get("vision") or {}
+        if not isinstance(vision_conf, dict):
+            vision_conf = {}
+        user_specified = (vision_conf.get("model") or "").strip()
+
+        # When the user pinned a specific model, infer which vendor card to
+        # highlight by scanning the per-provider model lists. Falls back to
+        # an empty provider so the dropdown stays on "auto" if we can't tell.
+        inferred_provider = ""
+        if user_specified:
+            for pid, models in cls._VISION_PROVIDER_MODELS.items():
+                if user_specified in models:
+                    inferred_provider = pid
+                    break
+
+        # In auto mode the hint should reflect what vision.py will actually
+        # dispatch to — surface that prediction via fallback_* so the UI
+        # shows e.g. "openai / gpt-4.1-mini" instead of the chat-model name.
+        predicted = cls._predict_vision_auto(local_config)
+
+        return {
+            "editable": True,
+            "strategy": "specified" if user_specified else "auto",
+            "user_specified_model": user_specified,
+            "current_provider": inferred_provider,
+            "current_model": user_specified,
+            "fallback_provider": predicted["provider"],
+            "fallback_model": predicted["model"],
+            "providers": list(cls._VISION_PROVIDER_MODELS.keys()),
+            "provider_models": cls._VISION_PROVIDER_MODELS,
+        }
+
+    @classmethod
+    def _asr_capability(cls, local_config: dict) -> dict:
+        provider_id = (local_config.get("voice_to_text") or "openai").strip().lower()
+        return {
+            "editable": True,
+            "current_provider": provider_id,
+            "current_model": "",
+            "providers": cls._ASR_PROVIDERS,
+        }
+
+    @classmethod
+    def _tts_capability(cls, local_config: dict) -> dict:
+        provider_id = (local_config.get("text_to_voice") or "openai").strip().lower()
+        return {
+            "editable": True,
+            "current_provider": provider_id,
+            "current_model": local_config.get("text_to_voice_model", "") or "",
+            "providers": cls._TTS_PROVIDERS,
+        }
+
+    @classmethod
+    def _embedding_capability(cls, local_config: dict) -> dict:
+        explicit = (local_config.get("embedding_provider") or "").strip().lower()
+        # When unset, the legacy auto path in agent_initializer.py picks
+        # openai -> linkai. We surface "auto" + an estimate of what it'd
+        # actually use, but don't probe the runtime here.
+        if not explicit:
+            if cls._is_real_key(local_config.get("open_ai_api_key", "")):
+                effective = "openai"
+            elif cls._is_real_key(local_config.get("linkai_api_key", "")):
+                effective = "linkai"
+            else:
+                effective = ""
+            return {
+                "editable": True,
+                "strategy": "auto",
+                "current_provider": effective,
+                "current_model": local_config.get("embedding_model", "") or "",
+                "current_dim": int(local_config.get("embedding_dimensions") or 0) or None,
+                "providers": cls._EMBEDDING_PROVIDERS,
+            }
+        return {
+            "editable": True,
+            "strategy": "specified",
+            "current_provider": explicit,
+            "current_model": local_config.get("embedding_model", "") or "",
+            "current_dim": int(local_config.get("embedding_dimensions") or 0) or None,
+            "providers": cls._EMBEDDING_PROVIDERS,
+        }
+
+    # Auto-fallback order for image generation. Mirrors the global priority
+    # used inside skills/image-generation/scripts/generate.py
+    # (`_DEFAULT_PROVIDER_ORDER`): OpenAI → Gemini → Seedream(Ark/doubao) →
+    # Qwen(dashscope) → MiniMax → LinkAI. Each entry maps the
+    # provider-card id to the script's per-provider DEFAULT_MODEL so the
+    # hint matches what the runtime would actually request.
+    _IMAGE_AUTO_ORDER = [
+        ("openai",    "gpt-image-2"),
+        ("gemini",    "gemini-3.1-flash-image-preview"),  # nano-banana-2
+        ("doubao",    "seedream-5.0-lite"),
+        ("dashscope", "qwen-image-2.0"),
+        ("minimax",   "image-01"),
+        ("linkai",    "gpt-image-2"),
+    ]
+
+    @classmethod
+    def _predict_image_auto(cls, local_config: dict) -> dict:
+        """Predict which provider/model the image-generation skill will hit
+        when no SKILL_IMAGE_GENERATION_MODEL override is set. Mirrors
+        skills/image-generation/scripts/generate.py::_build_providers so
+        the UI hint matches reality. Chat-only providers (DeepSeek etc.)
+        are absent by design — image generation never falls back to a chat
+        bot regardless of the main model.
+
+        When use_linkai is enabled the hint is suppressed entirely — LinkAI
+        proxies to whichever backend it deems appropriate and surfacing
+        "LinkAI" alone tells the user nothing actionable."""
+        use_linkai_flag = bool(local_config.get("use_linkai", False))
+        linkai_configured = cls._is_real_key(local_config.get("linkai_api_key", ""))
+        if use_linkai_flag and linkai_configured:
+            return {"provider": "", "model": ""}
+
+        for pid, default_model in cls._IMAGE_AUTO_ORDER:
+            meta = ConfigHandler.PROVIDER_MODELS.get(pid) or {}
+            key_field = meta.get("api_key_field")
+            if not key_field:
+                continue
+            if cls._is_real_key(local_config.get(key_field, "")):
+                return {"provider": pid, "model": default_model}
+        return {"provider": "", "model": ""}
+
+    @classmethod
+    def _image_capability(cls, local_config: dict) -> dict:
+        """Image generation. Source of truth: config["skill"]["image-generation"]["model"]
+        (mirrors the per-skill config schema documented in skills/image-generation).
+        The runtime resolver in skills/image-generation/scripts/generate.py
+        reads this via the SKILL_IMAGE_GENERATION_MODEL env var that the
+        agent_initializer syncs at startup; provider is inferred from the
+        model name prefix, mirroring vision.py's design.
+        """
+        skill_node = local_config.get("skill") or {}
+        if not isinstance(skill_node, dict):
+            skill_node = {}
+        img_node = skill_node.get("image-generation") or {}
+        if not isinstance(img_node, dict):
+            img_node = {}
+        explicit_model = (img_node.get("model") or "").strip()
+
+        # Infer the provider card to highlight by scanning per-provider
+        # model lists, including alias values inside {value, hint} entries.
+        inferred_provider = ""
+        if explicit_model:
+            for pid, models in cls._IMAGE_PROVIDER_MODELS.items():
+                for entry in models:
+                    val = entry if isinstance(entry, str) else (entry.get("value") or "")
+                    if val == explicit_model:
+                        inferred_provider = pid
+                        break
+                if inferred_provider:
+                    break
+
+        # In auto mode the hint should reflect what generate.py will actually
+        # dispatch to — surface that prediction via fallback_* so the UI
+        # never claims a chat-only bot (e.g. minimax/MiniMax-M2.7) "would
+        # generate the image", which is impossible.
+        predicted = cls._predict_image_auto(local_config)
+
+        return {
+            "editable": True,
+            "strategy": "specified" if explicit_model else "auto",
+            "current_provider": inferred_provider,
+            "current_model": explicit_model,
+            "fallback_provider": predicted["provider"],
+            "fallback_model": predicted["model"],
+            "providers": list(cls._IMAGE_PROVIDER_MODELS.keys()),
+            "provider_models": cls._IMAGE_PROVIDER_MODELS,
+            # The dispatcher that honors a pinned provider isn't wired up
+            # yet; advertise this so the UI can show a "saved but not active"
+            # banner until the runtime catches up.
+            "runtime_active": False,
+            "note": "router_pending",
+        }
+
+    @classmethod
+    def _search_capability(cls, local_config: dict) -> dict:
+        """Web search resolves at runtime via env vars (BOCHA -> LINKAI)."""
+        if cls._is_real_key(os.environ.get("BOCHA_API_KEY", "")):
+            current = "bocha"
+        elif cls._is_real_key(local_config.get("linkai_api_key", "")) or cls._is_real_key(os.environ.get("LINKAI_API_KEY", "")):
+            current = "linkai"
+        else:
+            current = ""
+        return {
+            "editable": False,
+            "current_provider": current,
+            "available": bool(current),
+            "note": "set_BOCHA_API_KEY_env" if not current else "",
+        }
+
+    @classmethod
+    def _capabilities(cls, local_config: dict) -> dict:
+        return {
+            "chat":      cls._chat_capability(local_config),
+            "vision":    cls._vision_capability(local_config),
+            "asr":       cls._asr_capability(local_config),
+            "tts":       cls._tts_capability(local_config),
+            "embedding": cls._embedding_capability(local_config),
+            "image":     cls._image_capability(local_config),
+            "search":    cls._search_capability(local_config),
+        }
+
+    def GET(self):
+        _require_auth()
+        web.header("Content-Type", "application/json; charset=utf-8")
+        try:
+            local_config = conf()
+            return json.dumps({
+                "status": "success",
+                "providers": self._provider_overview(),
+                "capabilities": self._capabilities(local_config),
+            }, ensure_ascii=False)
+        except Exception as e:
+            logger.error(f"[ModelsHandler] GET failed: {e}")
+            return json.dumps({"status": "error", "message": str(e)})
+
+    def POST(self):
+        _require_auth()
+        web.header("Content-Type", "application/json; charset=utf-8")
+        try:
+            data = json.loads(web.data() or b"{}")
+            action = data.get("action") or ""
+            if action == "set_provider":
+                return self._handle_set_provider(data)
+            if action == "delete_provider":
+                return self._handle_delete_provider(data)
+            if action == "set_capability":
+                return self._handle_set_capability(data)
+            return json.dumps({"status": "error", "message": f"unknown action: {action!r}"})
+        except Exception as e:
+            logger.error(f"[ModelsHandler] POST failed: {e}")
+            return json.dumps({"status": "error", "message": str(e)})
+
+    def _handle_set_provider(self, data: dict) -> str:
+        provider_id = (data.get("provider_id") or "").strip()
+        meta = ConfigHandler.PROVIDER_MODELS.get(provider_id)
+        if not meta:
+            return json.dumps({"status": "error", "message": f"unknown provider: {provider_id}"})
+
+        # api_key absent / empty / null => leave the existing key untouched
+        # (used by the "edit only base url" flow). To clear the key, callers
+        # must use action=delete_provider explicitly.
+        api_key_raw = data.get("api_key")
+        api_key = api_key_raw.strip() if isinstance(api_key_raw, str) else ""
+
+        # api_base presence is significant: an explicit "" means "reset to
+        # default", whereas a missing key means "no change".
+        api_base_present = "api_base" in data
+        api_base = (data.get("api_base") or "").strip() if api_base_present else None
+
+        applied = {}
+        local_config = conf()
+        file_cfg = self._read_file_config()
+
+        key_field = meta.get("api_key_field")
+        if key_field and api_key:
+            local_config[key_field] = api_key
+            file_cfg[key_field] = api_key
+            applied[key_field] = True
+        base_field = meta.get("api_base_key")
+        if base_field and api_base_present:
+            local_config[base_field] = api_base
+            file_cfg[base_field] = api_base
+            applied[base_field] = True
+
+        if not applied:
+            # Nothing actually changed (e.g. user opened the modal and hit
+            # save without editing). Treat as a successful no-op so the
+            # frontend can show "Saved" instead of surfacing an error.
+            return json.dumps({"status": "success", "provider": provider_id, "noop": True})
+
+        self._write_file_config(file_cfg)
+        logger.info(f"[ModelsHandler] provider {provider_id} updated: {sorted(applied.keys())}")
+
+        # Vendor credentials affect bot routing for any capability that uses
+        # them; safest to reset Bridge so the next request rebuilds bots.
+        self._reset_bridge()
+        return json.dumps({"status": "success", "provider": provider_id})
+
+    def _handle_delete_provider(self, data: dict) -> str:
+        provider_id = (data.get("provider_id") or "").strip()
+        meta = ConfigHandler.PROVIDER_MODELS.get(provider_id)
+        if not meta:
+            return json.dumps({"status": "error", "message": f"unknown provider: {provider_id}"})
+
+        local_config = conf()
+        file_cfg = self._read_file_config()
+
+        cleared = []
+        for field_name in (meta.get("api_key_field"), meta.get("api_base_key")):
+            if not field_name:
+                continue
+            if field_name in local_config:
+                local_config[field_name] = ""
+            file_cfg[field_name] = ""
+            cleared.append(field_name)
+
+        self._write_file_config(file_cfg)
+        logger.info(f"[ModelsHandler] provider {provider_id} cleared: {cleared}")
+        self._reset_bridge()
+        return json.dumps({"status": "success", "provider": provider_id, "cleared": cleared})
+
+    def _handle_set_capability(self, data: dict) -> str:
+        capability = (data.get("capability") or "").strip()
+        provider_id = (data.get("provider_id") or "").strip()
+        model = (data.get("model") or "").strip()
+
+        if capability == "chat":
+            return self._set_chat(provider_id, model)
+        if capability == "vision":
+            return self._set_vision(provider_id, model)
+        if capability == "asr":
+            return self._set_simple("voice_to_text", provider_id)
+        if capability == "tts":
+            return self._set_tts(provider_id, model)
+        if capability == "embedding":
+            return self._set_embedding(provider_id, model)
+        if capability == "image":
+            return self._set_image(provider_id, model)
+        return json.dumps({"status": "error", "message": f"capability not editable: {capability}"})
+
+    def _set_image(self, provider_id: str, model: str) -> str:
+        # Source of truth: config["skill"]["image-generation"]["model"].
+        # provider_id is informational only (used by the UI to highlight a
+        # vendor card); the runtime resolver infers the provider from the
+        # model name prefix at request time, mirroring vision.py's design.
+        # An empty model means "switch back to auto / let the script pick".
+        local_config = conf()
+        file_cfg = self._read_file_config()
+
+        def _ensure_skill_node(cfg: dict) -> dict:
+            skill_node = cfg.get("skill") or {}
+            if not isinstance(skill_node, dict):
+                skill_node = {}
+            img_node = skill_node.get("image-generation") or {}
+            if not isinstance(img_node, dict):
+                img_node = {}
+            skill_node["image-generation"] = img_node
+            cfg["skill"] = skill_node
+            return img_node
+
+        _ensure_skill_node(local_config)["model"] = model or ""
+        _ensure_skill_node(file_cfg)["model"] = model or ""
+
+        self._write_file_config(file_cfg)
+
+        # The skill subprocess (skills/image-generation/scripts/generate.py)
+        # reads SKILL_IMAGE_GENERATION_MODEL from its environment, which is
+        # only synced from config["skill"] at startup. Update os.environ live
+        # so changes take effect on the next call without a restart. An empty
+        # model means "clear the override" → drop the env var entirely.
+        env_key = "SKILL_IMAGE_GENERATION_MODEL"
+        if model:
+            os.environ[env_key] = model
+        else:
+            os.environ.pop(env_key, None)
+
+        logger.info(f"[ModelsHandler] image updated: provider_hint={provider_id!r} model={model!r}")
+        return json.dumps({
+            "status": "success",
+            "provider": provider_id,
+            "model": model,
+            "router_pending": True,
+        })
+
+    def _set_chat(self, provider_id: str, model: str) -> str:
+        if provider_id and provider_id not in ConfigHandler.PROVIDER_MODELS:
+            return json.dumps({"status": "error", "message": f"unknown provider: {provider_id}"})
+
+        applied = {}
+        local_config = conf()
+        file_cfg = self._read_file_config()
+
+        if provider_id:
+            bot_type_value = "chatGPT" if provider_id == "openai" else provider_id
+            local_config["bot_type"] = bot_type_value
+            file_cfg["bot_type"] = bot_type_value
+            applied["bot_type"] = bot_type_value
+            use_linkai = (provider_id == "linkai")
+            local_config["use_linkai"] = use_linkai
+            file_cfg["use_linkai"] = use_linkai
+            applied["use_linkai"] = use_linkai
+        if model:
+            local_config["model"] = model
+            file_cfg["model"] = model
+            applied["model"] = model
+
+        if not applied:
+            # No-op save (nothing to write). Return success so the UI can
+            # confirm the click without showing a misleading error.
+            return json.dumps({"status": "success", "applied": {}, "noop": True})
+
+        self._write_file_config(file_cfg)
+        logger.info(f"[ModelsHandler] chat updated: {applied}")
+        self._reset_bridge()
+        return json.dumps({"status": "success", "applied": applied})
+
+    def _set_vision(self, provider_id: str, model: str) -> str:
+        # Vision uses tool.vision.model (nested). provider_id is informational
+        # only; the runtime resolver auto-routes by model name prefix.
+        local_config = conf()
+        file_cfg = self._read_file_config()
+        tool_node = file_cfg.get("tool") or {}
+        if not isinstance(tool_node, dict):
+            tool_node = {}
+        vision_node = tool_node.get("vision") or {}
+        if not isinstance(vision_node, dict):
+            vision_node = {}
+        vision_node["model"] = model
+        tool_node["vision"] = vision_node
+        file_cfg["tool"] = tool_node
+        # Mirror into in-memory config so the live agent sees the change.
+        runtime_tool = local_config.get("tool") or {}
+        if not isinstance(runtime_tool, dict):
+            runtime_tool = {}
+        runtime_vision = runtime_tool.get("vision") or {}
+        if not isinstance(runtime_vision, dict):
+            runtime_vision = {}
+        runtime_vision["model"] = model
+        runtime_tool["vision"] = runtime_vision
+        local_config["tool"] = runtime_tool
+
+        self._write_file_config(file_cfg)
+        logger.info(f"[ModelsHandler] vision model set: {model!r}")
+        return json.dumps({"status": "success", "model": model})
+
+    def _set_simple(self, key: str, value: str) -> str:
+        local_config = conf()
+        file_cfg = self._read_file_config()
+        local_config[key] = value
+        file_cfg[key] = value
+        self._write_file_config(file_cfg)
+        logger.info(f"[ModelsHandler] {key} set: {value!r}")
+        return json.dumps({"status": "success", key: value})
+
+    def _set_tts(self, provider_id: str, model: str) -> str:
+        local_config = conf()
+        file_cfg = self._read_file_config()
+        if provider_id:
+            local_config["text_to_voice"] = provider_id
+            file_cfg["text_to_voice"] = provider_id
+        if model:
+            local_config["text_to_voice_model"] = model
+            file_cfg["text_to_voice_model"] = model
+        self._write_file_config(file_cfg)
+        logger.info(f"[ModelsHandler] tts updated: provider={provider_id!r} model={model!r}")
+        return json.dumps({"status": "success", "provider": provider_id, "model": model})
+
+    def _set_embedding(self, provider_id: str, model: str) -> str:
+        # provider_id="" + model="" means "switch back to legacy auto mode".
+        local_config = conf()
+        file_cfg = self._read_file_config()
+        local_config["embedding_provider"] = provider_id
+        file_cfg["embedding_provider"] = provider_id
+        if model:
+            local_config["embedding_model"] = model
+            file_cfg["embedding_model"] = model
+        else:
+            local_config["embedding_model"] = ""
+            file_cfg["embedding_model"] = ""
+        self._write_file_config(file_cfg)
+        logger.info(f"[ModelsHandler] embedding updated: provider={provider_id!r} model={model!r}")
+        # Embedding switches don't go through Bridge bots; the agent's
+        # MemoryManager rebuilds its provider on next process restart, but
+        # the index dim may now mismatch — frontend should warn the user.
+        return json.dumps({
+            "status": "success",
+            "provider": provider_id,
+            "model": model,
+            "warn_rebuild_index": True,
+        })
+
+    @staticmethod
+    def _reset_bridge() -> None:
+        try:
+            from bridge.bridge import Bridge
+            Bridge().reset_bot()
+            logger.info("[ModelsHandler] Bridge bot routing reset")
+        except Exception as e:
+            logger.warning(f"[ModelsHandler] Bridge reset failed: {e}")
+
+
 class ChannelsHandler:
     """API for managing external channel configurations (feishu, dingtalk, etc)."""
 
@@ -2242,7 +2981,12 @@ class AssetsHandler:
                 raise web.notfound()
 
             if not os.path.exists(full_path) or not os.path.isfile(full_path):
-                logger.error(f"File not found: {full_path}")
+                # Browsers routinely probe optional asset variants (e.g. a
+                # .ttf fallback declared alongside .woff2 in @font-face);
+                # logging these as errors floods the console with harmless
+                # noise. Keep it at debug level — real misconfigurations
+                # will still surface via the network panel.
+                logger.debug(f"Static file not found: {full_path}")
                 raise web.notfound()
 
             # 设置正确的Content-Type
@@ -2257,8 +3001,12 @@ class AssetsHandler:
             with open(full_path, 'rb') as f:
                 return f.read()
 
+        except web.HTTPError:
+            # The 404 path above already logged at debug; re-raise as-is so
+            # web.py returns the original status to the client.
+            raise
         except Exception as e:
-            logger.error(f"Error serving static file: {e}", exc_info=True)  # 添加更详细的错误信息
+            logger.error(f"Error serving static file: {e}", exc_info=True)
             raise web.notfound()
 
 

common/const.py

@@ -108,6 +108,7 @@ QWQ_PLUS = "qwq-plus"
 
 # MiniMax
 MINIMAX_M2_7 = "MiniMax-M2.7"  # MiniMax M2.7 - Latest
+MINIMAX_TEXT_01 = "MiniMax-Text-01"  # MiniMax 多模态 (vision)
 MINIMAX_M2_7_HIGHSPEED = "MiniMax-M2.7-highspeed"  # MiniMax M2.7 highspeed
 MINIMAX_M2_5 = "MiniMax-M2.5"  # MiniMax M2.5
 MINIMAX_M2_1 = "MiniMax-M2.1"  # MiniMax M2.1
@@ -119,6 +120,7 @@ MINIMAX_ABAB6_5 = "abab6.5-chat"  # MiniMax abab6.5
 GLM_5_1 = "glm-5.1"  # 智谱 GLM-5.1 - Agent recommended model (default)
 GLM_5_TURBO = "glm-5-turbo"  # 智谱 GLM-5-Turbo
 GLM_5 = "glm-5"  # 智谱 GLM-5
+GLM_5V_TURBO = "glm-5v-turbo"  # 智谱多模态 (vision)
 GLM_4 = "glm-4"
 GLM_4_PLUS = "glm-4-plus"
 GLM_4_flash = "glm-4-flash"