feat(bot): add backup models

backend/.env.example

@@ -2,6 +2,10 @@ BOT__TOKEN=<BOT__TOKEN>
 
 SITE__URL=<SITE__URL>
 
+# Leave ANTHROPIC_API_KEY empty to disable the Anthropic backup.
+ANTHROPIC_API_KEY=
+ANTHROPIC_MODEL=claude-opus-4-8
+
 LOG__LEVEL=INFO
 LOG__LEVEL_EXTERNAL=WARNING
 LOG__SHOW_TIME=false

backend/pyproject.toml

@@ -10,7 +10,7 @@ dependencies = [
     "aiogram>=3.24.0",
     "convex>=0.7.0",
     "httpx>=0.27",
-    "pydantic-ai-slim[google]>=1.44.0",
+    "pydantic-ai-slim[google,anthropic]>=1.44.0",
     "pydantic-settings>=2.12.0",
     "rich>=14.2.0",
     "xkcdpass>=1.19.0",

backend/src/bot/handlers/message/handler.py

@@ -31,6 +31,7 @@ from bot.modules.ai import (
 from bot.user_lock import get_user_lock
 from utils import env
 from utils.convex import ConvexClient
+from utils.logging import logger
 
 router = Router()
 convex = ConvexClient(env.convex_url)
@@ -54,9 +55,7 @@ async def _enqueue_room_upload(
             },
         )
     except Exception as e:  # noqa: BLE001
-        from utils.logging import logger as _logger  # noqa: PLC0415
-
-        _logger.warning(f"Failed to enqueue room upload: {e}")
+        logger.warning(f"Failed to enqueue room upload: {e}")
 
 
 def schedule_room_uploads(
@@ -236,7 +235,10 @@ class ProxyStreamingState:
 
 
 async def send_long_message(
-    bot: Bot, chat_id: int, text: str, reply_markup: ReplyKeyboardMarkup | None = None
+    bot: Bot,
+    chat_id: int,
+    text: str,
+    reply_markup: ReplyKeyboardMarkup | ReplyKeyboardRemove | None = None,
 ) -> int | None:
     parts = split_message(text)
     first_id: int | None = None
@@ -359,7 +361,7 @@ async def process_message_from_web(  # noqa: C901, PLR0912, PLR0913, PLR0915
     system_prompt = SUMMARIZE_PROMPT if is_summarize else user.get("systemPrompt")
     if system_prompt and inject_content:
         system_prompt = system_prompt.replace("{theory_database}", inject_content)
-    text_agent = create_text_agent(
+    text_agent = await create_text_agent(
         api_key=api_key,
         model_name=model_name,
         system_prompt=system_prompt,
@@ -406,13 +408,21 @@ async def process_message_from_web(  # noqa: C901, PLR0912, PLR0913, PLR0915
         if state:
             await state.flush()
 
-        full_history = [*history, {"role": "assistant", "content": final_answer}]
-        follow_up_model = user.get("followUpModel", "gemini-3.1-flash-lite-preview")
-        follow_up_prompt = user.get("followUpPrompt")
-        follow_up_agent = create_follow_up_agent(
-            api_key=api_key, model_name=follow_up_model, system_prompt=follow_up_prompt
-        )
-        follow_ups = await get_follow_ups(follow_up_agent, full_history, chat_images)
+        follow_ups: list[str] = []
+        try:
+            full_history = [*history, {"role": "assistant", "content": final_answer}]
+            follow_up_model = user.get("followUpModel", "gemini-3.1-flash-lite")
+            follow_up_prompt = user.get("followUpPrompt")
+            follow_up_agent = create_follow_up_agent(
+                api_key=api_key,
+                model_name=follow_up_model,
+                system_prompt=follow_up_prompt,
+            )
+            follow_ups = await get_follow_ups(
+                follow_up_agent, full_history, chat_images
+            )
+        except Exception as e:  # noqa: BLE001
+            logger.warning(f"Follow-up generation failed: {e}")
 
         if state:
             await state.stop_typing()
@@ -445,7 +455,11 @@ async def process_message_from_web(  # noqa: C901, PLR0912, PLR0913, PLR0915
         if tg_chat_id and processing_msg:
             with contextlib.suppress(Exception):
                 await processing_msg.delete()
-            keyboard = make_follow_up_keyboard(follow_ups)
+            keyboard = (
+                make_follow_up_keyboard(follow_ups)
+                if follow_ups
+                else ReplyKeyboardRemove()
+            )
             sent_id = await send_long_message(bot, tg_chat_id, final_answer, keyboard)
             if sent_id is not None:
                 with contextlib.suppress(Exception):
@@ -572,7 +586,7 @@ async def process_message(  # noqa: C901, PLR0912, PLR0913, PLR0915
         system_prompt = user.get("systemPrompt")
         if system_prompt and inject_content:
             system_prompt = system_prompt.replace("{theory_database}", inject_content)
-        text_agent = create_text_agent(
+        text_agent = await create_text_agent(
             api_key=api_key,
             model_name=model_name,
             system_prompt=system_prompt,
@@ -627,20 +641,24 @@ async def process_message(  # noqa: C901, PLR0912, PLR0913, PLR0915
             if proxy_state:
                 await proxy_state.flush()
 
-            full_history = [
-                *history[:-1],
-                {"role": "assistant", "content": final_answer},
-            ]
-            follow_up_model = user.get("followUpModel", "gemini-3.1-flash-lite-preview")
-            follow_up_prompt = user.get("followUpPrompt")
-            follow_up_agent = create_follow_up_agent(
-                api_key=api_key,
-                model_name=follow_up_model,
-                system_prompt=follow_up_prompt,
-            )
-            follow_ups = await get_follow_ups(
-                follow_up_agent, full_history, chat_images
-            )
+            follow_ups: list[str] = []
+            try:
+                full_history = [
+                    *history[:-1],
+                    {"role": "assistant", "content": final_answer},
+                ]
+                follow_up_model = user.get("followUpModel", "gemini-3.1-flash-lite")
+                follow_up_prompt = user.get("followUpPrompt")
+                follow_up_agent = create_follow_up_agent(
+                    api_key=api_key,
+                    model_name=follow_up_model,
+                    system_prompt=follow_up_prompt,
+                )
+                follow_ups = await get_follow_ups(
+                    follow_up_agent, full_history, chat_images
+                )
+            except Exception as e:  # noqa: BLE001
+                logger.warning(f"Follow-up generation failed: {e}")
 
             await state.stop_typing()
 
@@ -657,7 +675,11 @@ async def process_message(  # noqa: C901, PLR0912, PLR0913, PLR0915
             with contextlib.suppress(Exception):
                 await processing_msg.delete()
 
-            keyboard = make_follow_up_keyboard(follow_ups)
+            keyboard = (
+                make_follow_up_keyboard(follow_ups)
+                if follow_ups
+                else ReplyKeyboardRemove()
+            )
             await send_long_message(bot, chat_id, final_answer, keyboard)
 
             if proxy_state and proxy_config:

backend/src/bot/modules/ai/agent.py

@@ -1,3 +1,5 @@
+import asyncio
+import time
 from collections.abc import Awaitable, Callable
 from dataclasses import dataclass
 
@@ -11,6 +13,8 @@ from pydantic_ai import (
     TextPart,
     UserPromptPart,
 )
+from pydantic_ai.models import Model
+from pydantic_ai.models.fallback import FallbackModel
 from pydantic_ai.models.google import GoogleModel
 from pydantic_ai.providers.google import GoogleProvider
 
@@ -24,6 +28,113 @@ from .prompts import DEFAULT_FOLLOW_UP
 StreamCallback = Callable[[str], Awaitable[None]]
 convex = ConvexClient(env.convex_url)
 
+CONTENT_FALLBACK_CHAIN = ["gemini-3.5-pro", "gemini-3.1-pro", "gemini-3.5-flash"]
+FOLLOW_UP_FALLBACK_CHAIN = [
+    "gemini-3.5-flash",
+    "gemini-3.1-flash-lite",
+    "gemini-3.5-flash-lite",
+]
+MODELS_CACHE_TTL_SECONDS = 600.0
+
+_models_cache: dict[str, tuple[float, set[str]]] = {}
+
+
+def _strip_preview(name: str) -> str:
+    return (
+        name.removesuffix("-preview").rstrip("-") if name.endswith("-preview") else name
+    )
+
+
+def _dedup(names: list[str]) -> list[str]:
+    seen: set[str] = set()
+    result: list[str] = []
+    for name in names:
+        if name and name not in seen:
+            seen.add(name)
+            result.append(name)
+    return result
+
+
+def _fetch_google_models(api_key: str) -> set[str]:
+    names: set[str] = set()
+    try:
+        from google import genai  # noqa: PLC0415
+
+        client = genai.Client(api_key=api_key)
+        for model in client.models.list():
+            name = (model.name or "").removeprefix("models/")
+            actions = getattr(model, "supported_actions", None) or getattr(
+                model, "supported_generation_methods", None
+            )
+            if actions and "generateContent" not in actions:
+                continue
+            if name:
+                names.add(name)
+    except Exception as e:  # noqa: BLE001
+        logger.warning(f"Failed to list Google models: {e}")
+    return names
+
+
+async def _available_google_models(api_key: str) -> set[str]:
+    cached = _models_cache.get(api_key)
+    now = time.monotonic()
+    if cached and (now - cached[0]) < MODELS_CACHE_TTL_SECONDS:
+        return cached[1]
+    names = await asyncio.to_thread(_fetch_google_models, api_key)
+    if names:
+        _models_cache[api_key] = (now, names)
+    return names
+
+
+def _pick_from_available(available: set[str]) -> list[str]:
+    gemini = sorted(
+        n for n in available if n.startswith("gemini-") and "preview" not in n
+    )
+    pros = [n for n in gemini if "pro" in n]
+    flashes = [n for n in gemini if "flash" in n]
+    picked = _dedup([*pros[:2], *flashes[:2]])
+    return picked or sorted(available)[:3]
+
+
+def _anthropic_model() -> Model | None:
+    key = env.anthropic_api_key.get_secret_value()
+    if not key:
+        return None
+    from pydantic_ai.models.anthropic import AnthropicModel  # noqa: PLC0415
+    from pydantic_ai.providers.anthropic import AnthropicProvider  # noqa: PLC0415
+
+    return AnthropicModel(env.anthropic_model, provider=AnthropicProvider(api_key=key))
+
+
+def _as_model(models: list[Model]) -> Model:
+    return models[0] if len(models) == 1 else FallbackModel(*models)
+
+
+async def build_content_model(api_key: str, requested_model: str) -> Model:
+    candidates = _dedup(
+        [requested_model, _strip_preview(requested_model), *CONTENT_FALLBACK_CHAIN]
+    )
+    available = await _available_google_models(api_key)
+    if available:
+        live = [name for name in candidates if name in available]
+        candidates = live or _pick_from_available(available) or candidates
+
+    provider = GoogleProvider(api_key=api_key)
+    models: list[Model] = [GoogleModel(name, provider=provider) for name in candidates]
+    anthropic = _anthropic_model()
+    if anthropic:
+        models.append(anthropic)
+    return _as_model(models)
+
+
+def build_follow_up_model(api_key: str, requested_model: str) -> Model:
+    candidates = _dedup(
+        [requested_model, _strip_preview(requested_model), *FOLLOW_UP_FALLBACK_CHAIN]
+    )
+    provider = GoogleProvider(api_key=api_key)
+    models: list[Model] = [GoogleModel(name, provider=provider) for name in candidates]
+    return _as_model(models)
+
 
 @dataclass
 class ImageData:
@@ -51,14 +162,13 @@ RAG_SYSTEM_ADDITION = (
 )
 
 
-def create_text_agent(
+async def create_text_agent(
     api_key: str,
     model_name: str = "gemini-3-pro-preview",
     system_prompt: str | None = None,
     rag_db_names: list[str] | None = None,
 ) -> Agent[AgentDeps, str] | Agent[None, str]:
-    provider = GoogleProvider(api_key=api_key)
-    model = GoogleModel(model_name, provider=provider)
+    model = await build_content_model(api_key, model_name)
     base_prompt = system_prompt or DEFAULT_SYSTEM_PROMPT
 
     if rag_db_names:
@@ -104,8 +214,7 @@ def create_follow_up_agent(
     model_name: str = "gemini-3.1-flash-lite-preview",
     system_prompt: str | None = None,
 ) -> Agent[None, FollowUpOptions]:
-    provider = GoogleProvider(api_key=api_key)
-    model = GoogleModel(model_name, provider=provider)
+    model = build_follow_up_model(api_key, model_name)
     prompt = system_prompt or DEFAULT_FOLLOW_UP
     agent: Agent[None, FollowUpOptions] = Agent(  # ty: ignore[invalid-assignment]
         model, output_type=FollowUpOptions, instructions=prompt

backend/src/utils/env.py

@@ -36,6 +36,13 @@ class Settings(BaseSettings):
     log: LogSettings
     collaborative: CollaborativeSettings
 
+    anthropic_api_key: SecretStr = Field(
+        default=SecretStr(""), validation_alias=AliasChoices("ANTHROPIC_API_KEY")
+    )
+    anthropic_model: str = Field(
+        default="claude-sonnet-4-5", validation_alias=AliasChoices("ANTHROPIC_MODEL")
+    )
+
     convex_url: str = Field(validation_alias=AliasChoices("CONVEX_SELF_HOSTED_URL"))
     convex_http_url: str = Field(
         default="", validation_alias=AliasChoices("CONVEX_HTTP_URL")

backend/uv.lock

@@ -126,6 +126,25 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
 ]
 
+[[package]]
+name = "anthropic"
+version = "0.105.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "anyio" },
+    { name = "distro" },
+    { name = "docstring-parser" },
+    { name = "httpx" },
+    { name = "jiter" },
+    { name = "pydantic" },
+    { name = "sniffio" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/46/46/47581b8c689c743ceabf6a0f9ff48472160900ce802d26c0fb50423997b3/anthropic-0.105.2.tar.gz", hash = "sha256:0e26b90841c2dced7cc6e98d21d5517d0be33f1876b8e779f478202e28bcaa07", size = 853789, upload-time = "2026-05-29T00:21:14.104Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/83/75/be0c357e33a5a56c8f9db5b4212f886138d2bf59c0952d858f6b75d710ef/anthropic-0.105.2-py3-none-any.whl", hash = "sha256:e53ed5f6bf36fb1ecb9b25d8634cfd30e02fab9fb3374a0c2d5c585874757230", size = 837507, upload-time = "2026-05-29T00:21:15.528Z" },
+]
+
 [[package]]
 name = "anyio"
 version = "4.12.1"
@@ -155,7 +174,7 @@ dependencies = [
     { name = "aiogram" },
     { name = "convex" },
     { name = "httpx" },
-    { name = "pydantic-ai-slim", extra = ["google"] },
+    { name = "pydantic-ai-slim", extra = ["anthropic", "google"] },
     { name = "pydantic-settings" },
     { name = "rich" },
     { name = "xkcdpass" },
@@ -166,7 +185,7 @@ requires-dist = [
     { name = "aiogram", specifier = ">=3.24.0" },
     { name = "convex", specifier = ">=0.7.0" },
     { name = "httpx", specifier = ">=0.27" },
-    { name = "pydantic-ai-slim", extras = ["google"], specifier = ">=1.44.0" },
+    { name = "pydantic-ai-slim", extras = ["google", "anthropic"], specifier = ">=1.44.0" },
     { name = "pydantic-settings", specifier = ">=2.12.0" },
     { name = "rich", specifier = ">=14.2.0" },
     { name = "xkcdpass", specifier = ">=1.19.0" },
@@ -363,6 +382,15 @@ wheels = [
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 ]
 
+[[package]]
+name = "docstring-parser"
+version = "0.18.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/e0/4d/f332313098c1de1b2d2ff91cf2674415cc7cddab2ca1b01ae29774bd5fdf/docstring_parser-0.18.0.tar.gz", hash = "sha256:292510982205c12b1248696f44959db3cdd1740237a968ea1e2e7a900eeb2015", size = 29341, upload-time = "2026-04-14T04:09:19.867Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a7/5f/ed01f9a3cdffbd5a008556fc7b2a08ddb1cc6ace7effa7340604b1d16699/docstring_parser-0.18.0-py3-none-any.whl", hash = "sha256:b3fcbed555c47d8479be0796ef7e19c2670d428d72e96da63f3a40122860374b", size = 22484, upload-time = "2026-04-14T04:09:18.638Z" },
+]
+
 [[package]]
 name = "frozenlist"
 version = "1.8.0"
@@ -555,6 +583,60 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/fa/5e/f8e9a1d23b9c20a551a8a02ea3637b4642e22c2626e3a13a9a29cdea99eb/importlib_metadata-8.7.1-py3-none-any.whl", hash = "sha256:5a1f80bf1daa489495071efbb095d75a634cf28a8bc299581244063b53176151", size = 27865, upload-time = "2025-12-21T10:00:18.329Z" },
 ]
 
+[[package]]
+name = "jiter"
+version = "0.15.0"
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+wheels = [
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 [[package]]
 name = "logfire-api"
 version = "4.19.0"
@@ -821,6 +903,9 @@ wheels = [
 ]
 
 [package.optional-dependencies]
+anthropic = [
+    { name = "anthropic" },
+]
 google = [
     { name = "google-genai" },
 ]