fix(survey): prevent option controls from submitting forms

* fix(platform): delegate web page bot stream helpers

* style(platform): format web page bot adapter

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "langbot"
-version = "4.10.1"
+version = "4.10.2"
 description = "Production-grade platform for building agentic IM bots"
 readme = "README.md"
 license-files = ["LICENSE"]
@@ -70,7 +70,7 @@ dependencies = [
     "chromadb>=1.0.0,<2.0.0",
     "qdrant-client (>=1.15.1,<2.0.0)",
     "pyseekdb==1.1.0.post3",
-    "langbot-plugin==0.4.3",
+    "langbot-plugin==0.4.4",
     "asyncpg>=0.30.0",
     "line-bot-sdk>=3.19.0",
     "matrix-nio>=0.25.2",

src/langbot/__init__.py

@@ -1,3 +1,3 @@
 """LangBot - Production-grade platform for building agentic IM bots"""
 
-__version__ = '4.10.1'
+__version__ = '4.10.2'

src/langbot/pkg/api/http/controller/groups/plugins.py

@@ -271,6 +271,20 @@ class PluginsRouterGroup(group.RouterGroup):
             readme = await self.ap.plugin_connector.get_plugin_readme(author, plugin_name, language=language)
             return self.success(data={'readme': readme})
 
+        @self.route(
+            '/<author>/<plugin_name>/logs',
+            methods=['GET'],
+            auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
+        )
+        async def _(author: str, plugin_name: str) -> quart.Response:
+            try:
+                limit = int(quart.request.args.get('limit', 200))
+            except (TypeError, ValueError):
+                limit = 200
+            level = quart.request.args.get('level') or None
+            logs = await self.ap.plugin_connector.get_plugin_logs(author, plugin_name, limit=limit, level=level)
+            return self.success(data={'logs': logs})
+
         @self.route(
             '/<author>/<plugin_name>/icon',
             methods=['GET'],

src/langbot/pkg/core/stages/load_config.py

@@ -202,6 +202,16 @@ class LoadConfigStage(stage.BootingStage):
                 constants.instance_id = new_id
         constants.edition = ap.instance_config.data.get('system', {}).get('edition', 'community')
 
+        # Instance creation timestamp: sourced from data/labels/instance_id.json.
+        # Instances created before this field existed (or supplied via
+        # system.instance_id) won't have it, so backfill with the current time
+        # and persist it via the dump below — from then on it stays stable.
+        instance_create_ts = ap.instance_id.data.get('instance_create_ts', 0)
+        if not isinstance(instance_create_ts, int) or instance_create_ts <= 0:
+            instance_create_ts = int(time.time())
+            ap.instance_id.data['instance_create_ts'] = instance_create_ts
+        constants.instance_create_ts = instance_create_ts
+
         print(f'LangBot instance id: {constants.instance_id}')
         print(f'LangBot edition: {constants.edition}')
 

src/langbot/pkg/platform/sources/web_page_bot_adapter.py

@@ -84,6 +84,18 @@ class WebPageBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter
     ):
         self.listeners.pop(event_type, None)
 
+    async def is_stream_output_supported(self) -> bool:
+        """Delegate stream output check to ws_adapter."""
+        if self._ws_adapter is not None:
+            return await self._ws_adapter.is_stream_output_supported()
+        return False
+
+    async def create_message_card(self, message_id: str | int, event: platform_events.MessageEvent) -> bool:
+        """Delegate create_message_card to ws_adapter."""
+        if self._ws_adapter is not None:
+            return await self._ws_adapter.create_message_card(message_id, event)
+        return False
+
     async def is_muted(self, group_id: int) -> bool:
         return False
 

src/langbot/pkg/plugin/connector.py

@@ -689,6 +689,16 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
     async def get_plugin_readme(self, plugin_author: str, plugin_name: str, language: str = 'en') -> str:
         return await self.handler.get_plugin_readme(plugin_author, plugin_name, language)
 
+    async def get_plugin_logs(
+        self,
+        plugin_author: str,
+        plugin_name: str,
+        limit: int = 200,
+        level: str | None = None,
+    ) -> list[dict[str, Any]]:
+        # Not cached: logs are live and change constantly.
+        return await self.handler.get_plugin_logs(plugin_author, plugin_name, limit, level)
+
     @alru_cache(ttl=5 * 60)
     async def get_plugin_assets(self, plugin_author: str, plugin_name: str, filepath: str) -> dict[str, Any]:
         return await self.handler.get_plugin_assets(plugin_author, plugin_name, filepath)

src/langbot/pkg/plugin/handler.py

@@ -953,6 +953,31 @@ class RuntimeConnectionHandler(handler.Handler):
 
         return readme_bytes.decode('utf-8')
 
+    async def get_plugin_logs(
+        self,
+        plugin_author: str,
+        plugin_name: str,
+        limit: int = 200,
+        level: str | None = None,
+    ) -> list[dict[str, Any]]:
+        """Get recent log lines captured from the plugin's stderr."""
+        try:
+            result = await self.call_action(
+                LangBotToRuntimeAction.GET_PLUGIN_LOGS,
+                {
+                    'plugin_author': plugin_author,
+                    'plugin_name': plugin_name,
+                    'limit': limit,
+                    'level': level,
+                },
+                timeout=20,
+            )
+        except Exception:
+            traceback.print_exc()
+            return []
+
+        return result.get('logs', [])
+
     async def get_plugin_assets(self, plugin_author: str, plugin_name: str, filepath: str) -> dict[str, Any]:
         """Get plugin assets"""
         result = await self.call_action(

src/langbot/pkg/provider/modelmgr/requester.py

@@ -12,6 +12,19 @@ import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
 import langbot_plugin.api.entities.builtin.provider.message as provider_message
 
 
+LLM_USAGE_QUERY_VARIABLE = '_llm_usage'
+STREAM_USAGE_QUERY_VARIABLE = '_stream_usage'
+
+
+def _store_llm_usage(query: pipeline_query.Query | None, usage_info: dict | None) -> None:
+    """Store the latest provider usage on the query for upstream action handlers."""
+    if query is None or not usage_info:
+        return
+    if query.variables is None:
+        query.variables = {}
+    query.variables[LLM_USAGE_QUERY_VARIABLE] = dict(usage_info)
+
+
 class RuntimeProvider:
     """运行时模型提供商"""
 
@@ -67,6 +80,7 @@ class RuntimeProvider:
             if isinstance(result, tuple):
                 msg, usage_info = result
                 if usage_info:
+                    _store_llm_usage(query, usage_info)
                     input_tokens = usage_info.get('prompt_tokens', 0)
                     output_tokens = usage_info.get('completion_tokens', 0)
                 return msg
@@ -146,11 +160,12 @@ class RuntimeProvider:
             if query:
                 if query.variables is None:
                     query.variables = {}
-                if '_stream_usage' in query.variables:
+                if STREAM_USAGE_QUERY_VARIABLE in query.variables:
-                    usage_info = query.variables['_stream_usage']
+                    usage_info = query.variables[STREAM_USAGE_QUERY_VARIABLE]
+                    _store_llm_usage(query, usage_info)
                     input_tokens = usage_info.get('prompt_tokens', 0)
                     output_tokens = usage_info.get('completion_tokens', 0)
-                    del query.variables['_stream_usage']
+                    del query.variables[STREAM_USAGE_QUERY_VARIABLE]
         except Exception as e:
             status = 'error'
             error_message = str(e)

src/langbot/pkg/provider/modelmgr/requesters/litellmchat.py

@@ -75,14 +75,10 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
                 continue
         return False
 
-    def _context_length_from_scan_payload(self, model_payload: dict[str, typing.Any] | None) -> int | None:
+    @staticmethod
-        if not model_payload:
+    def _positive_int(value: typing.Any) -> int | None:
-            return None
-
-        for field_name in ('context_length', 'context_window', 'max_context_length'):
-            value = model_payload.get(field_name)
         if isinstance(value, bool):
-                continue
+            return None
         if isinstance(value, int) and value > 0:
             return value
         if isinstance(value, str) and value.isdigit():
@@ -91,6 +87,21 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
                 return parsed_value
         return None
 
+    def _context_length_from_scan_payload(self, model_payload: dict[str, typing.Any] | None) -> int | None:
+        if not model_payload:
+            return None
+
+        for field_name in ('context_length', 'context_window', 'max_context_length'):
+            context_length = self._positive_int(model_payload.get(field_name))
+            if context_length is not None:
+                return context_length
+        return None
+
+    def _context_length_from_litellm_model_info(self, model_info: typing.Any) -> int | None:
+        if isinstance(model_info, dict):
+            return self._positive_int(model_info.get('max_input_tokens'))
+        return self._positive_int(getattr(model_info, 'max_input_tokens', None))
+
     def _metadata_provider_candidates(self, model_name: str) -> list[str]:
         normalized_model_name = (model_name or '').lower()
         candidates = []
@@ -126,7 +137,7 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
         return None
 
     def _safe_context_length(self, model_name: str) -> int | None:
-        helper = getattr(litellm, 'get_max_tokens', None)
+        helper = getattr(litellm, 'get_model_info', None)
         if not callable(helper):
             return self._known_context_length_fallback(model_name)
 
@@ -143,11 +154,12 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
                 continue
             tried_candidates.append(candidate)
             try:
-                max_tokens = helper(candidate)
+                model_info = helper(candidate)
             except Exception:
                 continue
-            if isinstance(max_tokens, int) and max_tokens > 0:
+            context_length = self._context_length_from_litellm_model_info(model_info)
-                return max_tokens
+            if context_length is not None:
+                return context_length
         return self._known_context_length_fallback(model_name)
 
     def _supports_function_calling(self, model_name: str) -> bool:
@@ -250,32 +262,82 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
         - dict with the same keys
         - missing ``total_tokens`` (derived from prompt + completion)
         - ``None`` / partially-populated usage (defaults to 0)
+        - provider-specific token details, including cache token counters
         """
-        if usage is None:
-            return {'prompt_tokens': 0, 'completion_tokens': 0, 'total_tokens': 0}
 
-        def _get(key: str) -> typing.Any:
+        def _plain_value(value: typing.Any) -> typing.Any:
-            if isinstance(usage, dict):
+            if value is None:
-                return usage.get(key)
+                return None
-            return getattr(usage, key, None)
+            if isinstance(value, dict):
+                return {k: _plain_value(v) for k, v in value.items() if v is not None}
+            if isinstance(value, (list, tuple)):
+                return [_plain_value(v) for v in value]
 
-        prompt_tokens = _get('prompt_tokens') or 0
+            model_dump = getattr(value, 'model_dump', None)
-        completion_tokens = _get('completion_tokens') or 0
+            if callable(model_dump):
-        total_tokens = _get('total_tokens') or 0
+                try:
+                    dumped = model_dump()
+                    if isinstance(dumped, dict):
+                        return _plain_value(dumped)
+                except Exception:
+                    pass
+
+            return value
+
+        def _usage_dict(value: typing.Any) -> dict[str, typing.Any]:
+            if value is None:
+                return {}
+            plain = _plain_value(value)
+            if isinstance(plain, dict):
+                return plain
+
+            def _is_mock_attr(attr: typing.Any) -> bool:
+                return type(attr).__module__.startswith('unittest.mock')
+
+            data: dict[str, typing.Any] = {}
+            for key in (
+                'prompt_tokens',
+                'completion_tokens',
+                'total_tokens',
+                'prompt_tokens_details',
+                'completion_tokens_details',
+                'cache_creation_input_tokens',
+                'cache_read_input_tokens',
+                'input_token_details',
+                'output_token_details',
+            ):
+                attr_value = getattr(value, key, None)
+                if attr_value is not None and not _is_mock_attr(attr_value):
+                    data[key] = _plain_value(attr_value)
+            return data
+
+        def _to_int(value: typing.Any) -> int:
+            try:
+                return int(value or 0)
+            except (TypeError, ValueError):
+                return 0
+
+        normalized = _usage_dict(usage)
+
+        prompt_tokens = _to_int(normalized.get('prompt_tokens'))
+        completion_tokens = _to_int(normalized.get('completion_tokens'))
+        total_tokens = _to_int(normalized.get('total_tokens'))
 
         # Some providers omit total_tokens in streaming usage; derive it.
         if not total_tokens:
             total_tokens = prompt_tokens + completion_tokens
 
-        return {
+        normalized['prompt_tokens'] = prompt_tokens
-            'prompt_tokens': int(prompt_tokens),
+        normalized['completion_tokens'] = completion_tokens
-            'completion_tokens': int(completion_tokens),
+        normalized['total_tokens'] = total_tokens
-            'total_tokens': int(total_tokens),
+        return normalized
-        }
 
-    def _extract_usage(self, response) -> dict:
+    def _extract_usage(self, response) -> dict | None:
         """Extract usage info from a non-streaming LiteLLM response."""
-        return self._normalize_usage(getattr(response, 'usage', None))
+        usage = getattr(response, 'usage', None)
+        if usage is None:
+            return None
+        return self._normalize_usage(usage)
 
     @staticmethod
     def _as_dict(value: typing.Any) -> dict:
@@ -474,7 +536,7 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
                     if query is not None:
                         if query.variables is None:
                             query.variables = {}
-                        query.variables['_stream_usage'] = usage_info
+                        query.variables[requester.STREAM_USAGE_QUERY_VARIABLE] = usage_info
 
                 if not hasattr(chunk, 'choices') or not chunk.choices:
                     continue

src/langbot/pkg/provider/tools/errors.py

@@ -0,0 +1,6 @@
+class ToolNotFoundError(ValueError):
+    """Raised when a requested tool cannot be found in any active loader."""
+
+    def __init__(self, name: str):
+        self.name = name
+        super().__init__(f'Tool not found: {name}')

src/langbot/pkg/provider/tools/loader.py

@@ -4,12 +4,15 @@ import abc
 import typing
 from typing import TYPE_CHECKING
 
+from langbot_plugin.api.definition.components.manifest import ComponentManifest
 from langbot_plugin.api.entities.events import pipeline_query
 import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
 
 if TYPE_CHECKING:
     from ...core import app
 
+ToolLookupResult = resource_tool.LLMTool | ComponentManifest
+
 
 preregistered_loaders: list[typing.Type[ToolLoader]] = []
 
@@ -43,6 +46,13 @@ class ToolLoader(abc.ABC):
         """获取所有工具"""
         pass
 
+    async def get_tool(self, name: str) -> ToolLookupResult | None:
+        """Get one tool by name."""
+        for tool in await self.get_tools():
+            if tool.name == name:
+                return tool
+        return None
+
     @abc.abstractmethod
     async def has_tool(self, name: str) -> bool:
         """检查工具是否存在"""

src/langbot/pkg/provider/tools/loaders/mcp.py

@@ -567,6 +567,13 @@ class MCPLoader(loader.ToolLoader):
                     return True
         return False
 
+    async def get_tool(self, name: str) -> resource_tool.LLMTool | None:
+        for session in self.sessions.values():
+            for function in session.get_tools():
+                if function.name == name:
+                    return function
+        return None
+
     async def invoke_tool(self, name: str, parameters: dict, query: pipeline_query.Query) -> typing.Any:
         """执行工具调用"""
         for session in self.sessions.values():

src/langbot/pkg/provider/tools/loaders/native.py

@@ -7,6 +7,7 @@ import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
 from langbot_plugin.api.entities.events import pipeline_query
 
 from .. import loader
+from ..errors import ToolNotFoundError
 from . import skill as skill_loader
 
 EXEC_TOOL_NAME = 'exec'
@@ -90,7 +91,7 @@ class NativeToolLoader(loader.ToolLoader):
             return await self._invoke_glob(parameters, query)
         if name == GREP_TOOL_NAME:
             return await self._invoke_grep(parameters, query)
-        raise ValueError(f'未找到工具: {name}')
+        raise ToolNotFoundError(name)
 
     async def shutdown(self):
         pass

src/langbot/pkg/provider/tools/loaders/plugin.py

@@ -3,6 +3,7 @@ from __future__ import annotations
 import typing
 import traceback
 
+from langbot_plugin.api.definition.components.manifest import ComponentManifest
 from langbot_plugin.api.entities.events import pipeline_query
 
 from .. import loader
@@ -39,7 +40,7 @@ class PluginToolLoader(loader.ToolLoader):
                 return True
         return False
 
-    async def _get_tool(self, name: str) -> resource_tool.LLMTool:
+    async def get_tool(self, name: str) -> ComponentManifest | None:
         for tool in await self.ap.plugin_connector.list_tools():
             if tool.metadata.name == name:
                 return tool

src/langbot/pkg/provider/tools/toolmgr.py

@@ -6,6 +6,9 @@ from typing import TYPE_CHECKING
 import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
 from langbot_plugin.api.entities.events import pipeline_query
 
+from . import loader as tool_loader
+from .errors import ToolNotFoundError
+
 if TYPE_CHECKING:
     from ...core import app
     from langbot.pkg.provider.tools.loaders import (
@@ -67,6 +70,20 @@ class ToolManager:
 
         return all_functions
 
+    async def get_tool_by_name(self, name: str) -> tool_loader.ToolLookupResult | None:
+        """Get tool by name from any active loader."""
+        for active_loader in (
+            self.native_tool_loader,
+            self.plugin_tool_loader,
+            self.mcp_tool_loader,
+            self.skill_tool_loader,
+        ):
+            tool = await active_loader.get_tool(name)
+            if tool:
+                return tool
+
+        return None
+
     async def generate_tools_for_openai(self, use_funcs: list[resource_tool.LLMTool]) -> list:
         tools = []
 
@@ -98,7 +115,7 @@ class ToolManager:
         if await self.skill_tool_loader.has_tool(name):
             telemetry_features.increment(query, 'tool_calls', 'skill')
             return await self.skill_tool_loader.invoke_tool(name, parameters, query)
-        raise ValueError(f'未找到工具: {name}')
+        raise ToolNotFoundError(name)
 
     async def shutdown(self):
         await self.native_tool_loader.shutdown()

src/langbot/pkg/telemetry/heartbeat.py

@@ -109,6 +109,7 @@ async def build_heartbeat_payload(ap: core_app.Application) -> dict:
         'query_id': '',
         'version': constants.semantic_version,
         'instance_id': constants.instance_id,
+        'instance_create_ts': constants.instance_create_ts,
         'edition': constants.edition,
         'features': features,
         'timestamp': datetime.now(timezone.utc).isoformat(),

src/langbot/pkg/utils/constants.py

@@ -16,3 +16,11 @@ debug_mode = False
 edition = 'community'
 
 instance_id = ''
+
+instance_create_ts = 0
+"""Unix timestamp (seconds) of when this instance was first created.
+
+Sourced from ``data/labels/instance_id.json``. Backfilled to the current
+time for instances created before this field existed, so it is always a
+positive value once load_config has run.
+"""

tests/unit_tests/provider/test_litellmchat.py

@@ -115,6 +115,15 @@ class TestExtractUsage:
         assert result['prompt_tokens'] == 0
         assert result['completion_tokens'] == 0
 
+    def test_extract_usage_without_provider_usage(self):
+        """Missing provider usage is not treated as authoritative zero usage."""
+        requester = litellmchat.LiteLLMRequester(ap=Mock(), config={})
+
+        response = Mock()
+        response.usage = None
+
+        assert requester._extract_usage(response) is None
+
 
 class TestNormalizeUsage:
     """Test _normalize_usage helper covering real-world usage shapes"""
@@ -131,6 +140,22 @@ class TestNormalizeUsage:
         )
         assert result == {'prompt_tokens': 12, 'completion_tokens': 8, 'total_tokens': 20}
 
+    def test_preserves_token_details(self):
+        """Provider token details such as cache counters are preserved."""
+        result = litellmchat.LiteLLMRequester._normalize_usage(
+            {
+                'prompt_tokens': 12,
+                'completion_tokens': 8,
+                'total_tokens': 20,
+                'prompt_tokens_details': {'cached_tokens': 7},
+                'completion_tokens_details': {'reasoning_tokens': 3},
+            }
+        )
+
+        assert result['prompt_tokens'] == 12
+        assert result['prompt_tokens_details'] == {'cached_tokens': 7}
+        assert result['completion_tokens_details'] == {'reasoning_tokens': 3}
+
     def test_missing_total_is_derived(self):
         """When total_tokens is absent/zero it is derived from prompt + completion"""
         usage = Mock()
@@ -166,9 +191,7 @@ class TestInvokeLLMStreamUsage:
         if has_choice:
             choice = Mock()
             delta = Mock()
-            delta.model_dump = Mock(
+            delta.model_dump = Mock(return_value={'role': 'assistant', 'content': content, 'tool_calls': tool_calls})
-                return_value={'role': 'assistant', 'content': content, 'tool_calls': tool_calls}
-            )
             choice.delta = delta
             choice.finish_reason = finish_reason
             chunk.choices = [choice]
@@ -313,7 +336,8 @@ class TestInvokeLLMStreamUsage:
 
         with patch.object(litellmchat, 'acompletion', new=AsyncMock(side_effect=lambda **kw: _aiter())):
             collected = [
-                chunk async for chunk in requester.invoke_llm_stream(
+                chunk
+                async for chunk in requester.invoke_llm_stream(
                     query=query,
                     model=model,
                     messages=messages,
@@ -788,7 +812,9 @@ class TestInvokeRerank:
         with patch('httpx.AsyncClient', return_value=mock_client):
             # arerank must NOT be called on the openai-compatible path
             with patch.object(
-                litellmchat, 'arerank', new_callable=AsyncMock,
+                litellmchat,
+                'arerank',
+                new_callable=AsyncMock,
                 side_effect=AssertionError('arerank must not be used for openai-compatible provider'),
             ):
                 results = await requester.invoke_rerank(
@@ -1034,11 +1060,28 @@ class TestScanModels:
             },
         )
 
-        with patch.object(litellmchat.litellm, 'get_max_tokens') as mock_get_max_tokens:
+        with patch.object(litellmchat.litellm, 'get_model_info') as mock_get_model_info:
-            mock_get_max_tokens.side_effect = lambda model: 131072 if model == 'moonshot/moonshot-v1-128k' else None
+            mock_get_model_info.side_effect = (
+                lambda model: {'max_input_tokens': 131072}
+                if model == 'moonshot/moonshot-v1-128k'
+                else {}
+            )
 
             assert requester._safe_context_length('moonshot-v1-128k') == 131072
 
+    def test_safe_context_length_uses_litellm_max_input_tokens(self):
+        """LiteLLM max_output_tokens must not be treated as the context window."""
+        requester = litellmchat.LiteLLMRequester(ap=Mock(), config={})
+
+        with patch.object(litellmchat.litellm, 'get_model_info') as mock_get_model_info:
+            mock_get_model_info.return_value = {
+                'max_input_tokens': 128000,
+                'max_output_tokens': 16384,
+                'max_tokens': 16384,
+            }
+
+            assert requester._safe_context_length('gpt-4o') == 128000
+
     def test_litellm_bool_helper_tries_moonshot_metadata_alias(self):
         """OpenAI-compatible Moonshot endpoints still use Moonshot metadata for abilities."""
         requester = litellmchat.LiteLLMRequester(
@@ -1051,8 +1094,7 @@ class TestScanModels:
 
         with patch.object(litellmchat.litellm, 'supports_function_calling') as mock_supports_function_calling:
             mock_supports_function_calling.side_effect = (
-                lambda model, custom_llm_provider=None: model == 'moonshot/kimi-k2.6'
+                lambda model, custom_llm_provider=None: model == 'moonshot/kimi-k2.6' and custom_llm_provider is None
-                and custom_llm_provider is None
             )
 
             assert requester._supports_function_calling('kimi-k2.6') is True
@@ -1102,7 +1144,7 @@ class TestScanModels:
             },
         )
 
-        with patch.object(litellmchat.litellm, 'get_max_tokens', side_effect=Exception('not mapped')):
+        with patch.object(litellmchat.litellm, 'get_model_info', side_effect=Exception('not mapped')):
             assert requester._safe_context_length('deepseek-v4-pro') == 1_000_000
             assert requester._safe_context_length('deepseek-v4-flash') == 1_000_000
 

tests/unit_tests/provider/test_tool_manager.py

@@ -226,7 +226,7 @@ class TestToolManagerExecuteFuncCall:
 
     @pytest.mark.asyncio
     async def test_execute_raises_when_tool_not_found(self, mock_app_with_loaders, sample_query):
-        """Test that execute_func_call raises ValueError when tool not found."""
+        """Test that execute_func_call raises ToolNotFoundError when tool not found."""
         toolmgr = get_toolmgr_module()
 
         mock_app, mock_plugin_loader, mock_mcp_loader = mock_app_with_loaders
@@ -236,7 +236,7 @@ class TestToolManagerExecuteFuncCall:
         manager = toolmgr.ToolManager(mock_app)
         self._wire_loaders(manager, mock_app, mock_plugin_loader, mock_mcp_loader)
 
-        with pytest.raises(ValueError, match='未找到工具'):
+        with pytest.raises(toolmgr.ToolNotFoundError, match='Tool not found: unknown_tool'):
             await manager.execute_func_call('unknown_tool', {}, sample_query)
 
     @pytest.mark.asyncio

tests/unit_tests/telemetry/test_heartbeat.py

@@ -62,6 +62,7 @@ class TestBuildHeartbeatPayload:
 
         assert payload['event_type'] == 'instance_heartbeat'
         assert payload['query_id'] == ''
+        assert 'instance_create_ts' in payload
         assert 'timestamp' in payload
         f = payload['features']
         assert f['database'] == 'postgresql'

uv.lock

@@ -1967,7 +1967,7 @@ wheels = [
 
 [[package]]
 name = "langbot"
-version = "4.10.1"
+version = "4.10.2"
 source = { editable = "." }
 dependencies = [
     { name = "aiocqhttp" },
@@ -2082,7 +2082,7 @@ requires-dist = [
     { name = "ebooklib", specifier = ">=0.18" },
     { name = "gewechat-client", specifier = ">=0.1.5" },
     { name = "html2text", specifier = ">=2024.2.26" },
-    { name = "langbot-plugin", specifier = "==0.4.3" },
+    { name = "langbot-plugin", specifier = "==0.4.4" },
     { name = "langchain", specifier = ">=0.2.0" },
     { name = "langchain-core", specifier = ">=1.3.3" },
     { name = "langchain-text-splitters", specifier = ">=1.1.2" },
@@ -2146,7 +2146,7 @@ dev = [
 
 [[package]]
 name = "langbot-plugin"
-version = "0.4.3"
+version = "0.4.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiofiles" },
@@ -2167,9 +2167,9 @@ dependencies = [
     { name = "watchdog" },
     { name = "websockets" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/8e/f1/32ec67e8b8eb91159d2b9703f466cc2a763c8cea380dd56561efe793a55b/langbot_plugin-0.4.3.tar.gz", hash = "sha256:747fb78bc666cfac3842cb35130fa8323759dd8768fdaa1975099157a3749c6e", size = 309655, upload-time = "2026-06-13T04:58:10.279Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/68/1a/636c057f6e07a0c87dc7b9c1a373d73df82787b7706ba3ba1a95f633ce7c/langbot_plugin-0.4.4.tar.gz", hash = "sha256:8fdad2d22fe8360d2911557fac17f258f57e85f1a36bd50cd488cb44f61225a4", size = 312741, upload-time = "2026-06-13T11:59:36.772Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/28/05/84bd7537efd45fc02044ca9509973160a7d6d10520ff73e31424141a3a6c/langbot_plugin-0.4.3-py3-none-any.whl", hash = "sha256:46aca36e2193c18f9cf332460760dd7b9340ee2e96a57f2e4ae621c4d4c4b61c", size = 211384, upload-time = "2026-06-13T04:58:11.668Z" },
+    { url = "https://files.pythonhosted.org/packages/f9/c6/3c313e4ec431fca68326f348bd2c7a61777d43c940bb46ae6c8ebfb66973/langbot_plugin-0.4.4-py3-none-any.whl", hash = "sha256:c91f082ca431539f34790e497e2f056f4e7030e46e0d2bf01a6114b055dd2feb", size = 214164, upload-time = "2026-06-13T11:59:38.053Z" },
 ]
 
 [[package]]

web/src/app/home/components/survey/SurveyWidget.tsx

@@ -310,6 +310,7 @@ function SingleSelectField({
       {options.map((opt) => (
         <div key={opt.id}>
           <button
+            type="button"
             onClick={() => onChange(opt.id)}
             className={`w-full text-left text-sm px-3 py-2 rounded-lg border transition-colors ${
               value === opt.id
@@ -361,8 +362,16 @@ function MultiSelectField({
         const selected = value.includes(opt.id);
         return (
           <div key={opt.id}>
-            <button
+            <div
+              role="button"
+              tabIndex={0}
               onClick={() => toggle(opt.id)}
+              onKeyDown={(e) => {
+                if (e.key === 'Enter' || e.key === ' ') {
+                  e.preventDefault();
+                  toggle(opt.id);
+                }
+              }}
               className={`w-full text-left text-sm px-3 py-2 rounded-lg border transition-colors flex items-center gap-2 ${
                 selected
                   ? 'border-primary bg-primary/5 text-primary'
@@ -371,7 +380,7 @@ function MultiSelectField({
             >
               <Checkbox checked={selected} className="pointer-events-none" />
               {getI18nText(opt.label)}
-            </button>
+            </div>
             {opt.has_input && selected && (
               <input
                 type="text"

web/src/app/home/plugins/PluginDetailContent.tsx

@@ -2,10 +2,12 @@ import { useEffect, useState } from 'react';
 import { useNavigate } from 'react-router-dom';
 import PluginForm from '@/app/home/plugins/components/plugin-installed/plugin-form/PluginForm';
 import PluginReadme from '@/app/home/plugins/components/plugin-installed/plugin-readme/PluginReadme';
+import PluginLogs from '@/app/home/plugins/components/plugin-installed/plugin-logs/PluginLogs';
 import PluginComponentList from '@/app/home/plugins/components/plugin-installed/PluginComponentList';
 import { useSidebarData } from '@/app/home/components/home-sidebar/SidebarDataContext';
 import { useTranslation } from 'react-i18next';
 import { Badge } from '@/components/ui/badge';
+import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
 import { Button } from '@/components/ui/button';
 import { Checkbox } from '@/components/ui/checkbox';
 import {
@@ -217,8 +219,35 @@ export default function PluginDetailContent({ id }: { id: string }) {
             {dangerZone}
           </div>
           <div className="hidden w-px shrink-0 bg-border md:block" />
-          <div className="min-w-0 flex-1 pb-6 md:min-h-0 md:overflow-y-auto md:overflow-x-hidden">
+          <div className="flex min-w-0 flex-1 flex-col pb-6 md:min-h-0 md:overflow-hidden">
-            <PluginReadme pluginAuthor={pluginAuthor} pluginName={pluginName} />
+            <Tabs defaultValue="docs" className="flex min-h-0 flex-1 flex-col">
+              <TabsList className="mb-2 shrink-0">
+                <TabsTrigger value="docs" className="flex-none px-4">
+                  {t('plugins.tabDocs')}
+                </TabsTrigger>
+                <TabsTrigger value="logs" className="flex-none px-4">
+                  {t('plugins.tabLogs')}
+                </TabsTrigger>
+              </TabsList>
+              <TabsContent
+                value="docs"
+                className="min-h-0 flex-1 md:overflow-y-auto md:overflow-x-hidden"
+              >
+                <PluginReadme
+                  pluginAuthor={pluginAuthor}
+                  pluginName={pluginName}
+                />
+              </TabsContent>
+              <TabsContent
+                value="logs"
+                className="min-h-0 flex-1 md:overflow-hidden"
+              >
+                <PluginLogs
+                  pluginAuthor={pluginAuthor}
+                  pluginName={pluginName}
+                />
+              </TabsContent>
+            </Tabs>
           </div>
         </div>
       </div>

web/src/app/home/plugins/components/plugin-installed/plugin-logs/PluginLogs.tsx

@@ -0,0 +1,156 @@
+import { useCallback, useEffect, useRef, useState } from 'react';
+import { httpClient } from '@/app/infra/http/HttpClient';
+import { useTranslation } from 'react-i18next';
+import { PluginLogEntry } from '@/app/infra/entities/plugin';
+import { Button } from '@/components/ui/button';
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from '@/components/ui/select';
+import { RefreshCw } from 'lucide-react';
+
+const LEVEL_OPTIONS = ['ALL', 'DEBUG', 'INFO', 'WARNING', 'ERROR'] as const;
+
+function levelClassName(level: string): string {
+  switch (level) {
+    case 'ERROR':
+    case 'CRITICAL':
+      return 'text-red-500';
+    case 'WARNING':
+      return 'text-amber-500';
+    case 'DEBUG':
+      return 'text-gray-400 dark:text-gray-500';
+    default:
+      return 'text-gray-700 dark:text-gray-300';
+  }
+}
+
+export default function PluginLogs({
+  pluginAuthor,
+  pluginName,
+}: {
+  pluginAuthor: string;
+  pluginName: string;
+}) {
+  const { t } = useTranslation();
+  const [logs, setLogs] = useState<PluginLogEntry[]>([]);
+  const [isLoading, setIsLoading] = useState(false);
+  const [level, setLevel] = useState<string>('ALL');
+  const [autoRefresh, setAutoRefresh] = useState(true);
+  const scrollRef = useRef<HTMLDivElement>(null);
+  const atBottomRef = useRef(true);
+
+  const fetchLogs = useCallback(() => {
+    setIsLoading(true);
+    httpClient
+      .getPluginLogs(
+        pluginAuthor,
+        pluginName,
+        500,
+        level === 'ALL' ? undefined : level,
+      )
+      .then((res) => {
+        setLogs(res.logs ?? []);
+      })
+      .catch(() => {
+        setLogs([]);
+      })
+      .finally(() => {
+        setIsLoading(false);
+      });
+  }, [pluginAuthor, pluginName, level]);
+
+  useEffect(() => {
+    fetchLogs();
+  }, [fetchLogs]);
+
+  // Auto-refresh poll loop.
+  useEffect(() => {
+    if (!autoRefresh) return;
+    const timer = setInterval(fetchLogs, 3000);
+    return () => clearInterval(timer);
+  }, [autoRefresh, fetchLogs]);
+
+  // Keep view pinned to bottom when the user is already at the bottom.
+  useEffect(() => {
+    const el = scrollRef.current;
+    if (el && atBottomRef.current) {
+      el.scrollTop = el.scrollHeight;
+    }
+  }, [logs]);
+
+  function handleScroll() {
+    const el = scrollRef.current;
+    if (!el) return;
+    atBottomRef.current = el.scrollHeight - el.scrollTop - el.clientHeight < 40;
+  }
+
+  return (
+    <div className="flex h-full flex-col">
+      <div className="flex shrink-0 flex-wrap items-center gap-2 px-6 pb-3">
+        <Select value={level} onValueChange={setLevel}>
+          <SelectTrigger className="h-8 w-[130px]">
+            <SelectValue />
+          </SelectTrigger>
+          <SelectContent>
+            {LEVEL_OPTIONS.map((opt) => (
+              <SelectItem key={opt} value={opt}>
+                {opt === 'ALL' ? t('plugins.logsLevelAll') : opt}
+              </SelectItem>
+            ))}
+          </SelectContent>
+        </Select>
+        <Button
+          type="button"
+          variant="outline"
+          size="sm"
+          className="h-8"
+          onClick={fetchLogs}
+          disabled={isLoading}
+        >
+          <RefreshCw
+            className={`mr-1.5 size-3.5 ${isLoading ? 'animate-spin' : ''}`}
+          />
+          {t('plugins.logsRefresh')}
+        </Button>
+        <Button
+          type="button"
+          variant={autoRefresh ? 'default' : 'outline'}
+          size="sm"
+          className="h-8"
+          onClick={() => setAutoRefresh((v) => !v)}
+        >
+          {autoRefresh
+            ? t('plugins.logsAutoRefreshOn')
+            : t('plugins.logsAutoRefreshOff')}
+        </Button>
+      </div>
+
+      <div
+        ref={scrollRef}
+        onScroll={handleScroll}
+        className="min-h-0 flex-1 overflow-auto bg-gray-50 px-6 py-3 font-mono text-xs leading-relaxed dark:bg-gray-900/40"
+      >
+        {logs.length === 0 ? (
+          <div className="py-8 text-center text-sm text-gray-500 dark:text-gray-400">
+            {t('plugins.logsEmpty')}
+          </div>
+        ) : (
+          logs.map((entry, idx) => (
+            <div
+              key={`${entry.ts}-${idx}`}
+              className={`whitespace-pre-wrap break-all ${levelClassName(
+                entry.level,
+              )}`}
+            >
+              {entry.text}
+            </div>
+          ))
+        )}
+      </div>
+    </div>
+  );
+}

web/src/app/infra/entities/plugin/index.ts

@@ -21,6 +21,13 @@ export interface PluginComponent {
   };
 }
 
+// A single log line captured from a running plugin's stderr.
+export interface PluginLogEntry {
+  ts: number;
+  level: string;
+  text: string;
+}
+
 // marketplace plugin v4
 export enum PluginV4Status {
   Any = 'any',

web/src/app/infra/http/BackendClient.ts

@@ -55,6 +55,7 @@ import {
   ApiRespSkill,
 } from '@/app/infra/entities/api';
 import { Plugin } from '@/app/infra/entities/plugin';
+import type { PluginLogEntry } from '@/app/infra/entities/plugin';
 import type { I18nObject } from '@/app/infra/entities/common';
 import { GetBotLogsRequest } from '@/app/infra/http/requestParam/bots/GetBotLogsRequest';
 import { GetBotLogsResponse } from '@/app/infra/http/requestParam/bots/GetBotLogsResponse';
@@ -604,6 +605,22 @@ export class BackendClient extends BaseHttpClient {
     );
   }
 
+  public getPluginLogs(
+    author: string,
+    name: string,
+    limit: number = 200,
+    level?: string,
+  ): Promise<{ logs: PluginLogEntry[] }> {
+    const params = new URLSearchParams();
+    params.set('limit', String(limit));
+    if (level) {
+      params.set('level', level);
+    }
+    return this.get(
+      `/api/v1/plugins/${author}/${name}/logs?${params.toString()}`,
+    );
+  }
+
   public getPluginAssetURL(
     author: string,
     name: string,

web/src/i18n/locales/en-US.ts

@@ -577,6 +577,14 @@ const enUS = {
     viewSource: 'View Source',
     loadingReadme: 'Loading documentation...',
     noReadme: 'This plugin does not provide README documentation',
+    tabDocs: 'Documentation',
+    tabLogs: 'Logs',
+    logsLevelAll: 'All levels',
+    logsRefresh: 'Refresh',
+    logsAutoRefreshOn: 'Auto-refresh: On',
+    logsAutoRefreshOff: 'Auto-refresh: Off',
+    logsEmpty:
+      'No logs yet. Logs printed by the plugin via logger will appear here.',
     fileUpload: {
       tooLarge: 'File size exceeds 10MB limit',
       success: 'File uploaded successfully',

web/src/i18n/locales/es-ES.ts

@@ -589,6 +589,14 @@ const esES = {
     viewSource: 'Ver código fuente',
     loadingReadme: 'Cargando documentación...',
     noReadme: 'Este plugin no proporciona documentación README',
+    tabDocs: 'Documentación',
+    tabLogs: 'Registros',
+    logsLevelAll: 'Todos los niveles',
+    logsRefresh: 'Actualizar',
+    logsAutoRefreshOn: 'Auto-actualizar: Activado',
+    logsAutoRefreshOff: 'Auto-actualizar: Desactivado',
+    logsEmpty:
+      'Aún no hay registros. Los registros que el plugin imprima mediante logger aparecerán aquí.',
     fileUpload: {
       tooLarge: 'El tamaño del archivo supera el límite de 10MB',
       success: 'Archivo subido correctamente',

web/src/i18n/locales/ja-JP.ts

@@ -582,6 +582,14 @@ const jaJP = {
     viewSource: 'ソースを表示',
     loadingReadme: 'ドキュメントを読み込み中...',
     noReadme: 'このプラグインはREADMEドキュメントを提供していません',
+    tabDocs: 'ドキュメント',
+    tabLogs: 'ログ',
+    logsLevelAll: 'すべてのレベル',
+    logsRefresh: '更新',
+    logsAutoRefreshOn: '自動更新：オン',
+    logsAutoRefreshOff: '自動更新：オフ',
+    logsEmpty:
+      'ログはまだありません。プラグインが logger で出力したログがここに表示されます。',
     fileUpload: {
       tooLarge: 'ファイルサイズが 10MB の制限を超えています',
       success: 'ファイルのアップロードに成功しました',

web/src/i18n/locales/ru-RU.ts

@@ -588,6 +588,14 @@ const ruRU = {
     viewSource: 'Исходный код',
     loadingReadme: 'Загрузка документации...',
     noReadme: 'Этот плагин не предоставляет документацию README',
+    tabDocs: 'Документация',
+    tabLogs: 'Журналы',
+    logsLevelAll: 'Все уровни',
+    logsRefresh: 'Обновить',
+    logsAutoRefreshOn: 'Автообновление: вкл.',
+    logsAutoRefreshOff: 'Автообновление: выкл.',
+    logsEmpty:
+      'Журналов пока нет. Здесь появятся логи, выводимые плагином через logger.',
     fileUpload: {
       tooLarge: 'Размер файла превышает лимит 10 МБ',
       success: 'Файл успешно загружен',

web/src/i18n/locales/th-TH.ts

@@ -569,6 +569,13 @@ const thTH = {
     viewSource: 'ดูซอร์สโค้ด',
     loadingReadme: 'กำลังโหลดเอกสาร...',
     noReadme: 'ปลั๊กอินนี้ไม่มีเอกสาร README',
+    tabDocs: 'เอกสาร',
+    tabLogs: 'บันทึก',
+    logsLevelAll: 'ทุกระดับ',
+    logsRefresh: 'รีเฟรช',
+    logsAutoRefreshOn: 'รีเฟรชอัตโนมัติ: เปิด',
+    logsAutoRefreshOff: 'รีเฟรชอัตโนมัติ: ปิด',
+    logsEmpty: 'ยังไม่มีบันทึก บันทึกที่ปลั๊กอินพิมพ์ผ่าน logger จะแสดงที่นี่',
     fileUpload: {
       tooLarge: 'ขนาดไฟล์เกินขีดจำกัด 10MB',
       success: 'อัปโหลดไฟล์สำเร็จ',

web/src/i18n/locales/vi-VN.ts

@@ -583,6 +583,14 @@ const viVN = {
     viewSource: 'Xem mã nguồn',
     loadingReadme: 'Đang tải tài liệu...',
     noReadme: 'Plugin này không cung cấp tài liệu README',
+    tabDocs: 'Tài liệu',
+    tabLogs: 'Nhật ký',
+    logsLevelAll: 'Tất cả cấp độ',
+    logsRefresh: 'Làm mới',
+    logsAutoRefreshOn: 'Tự động làm mới: Bật',
+    logsAutoRefreshOff: 'Tự động làm mới: Tắt',
+    logsEmpty:
+      'Chưa có nhật ký. Nhật ký do plugin in qua logger sẽ hiển thị ở đây.',
     fileUpload: {
       tooLarge: 'Kích thước tệp vượt quá giới hạn 10MB',
       success: 'Tải tệp lên thành công',

web/src/i18n/locales/zh-Hans.ts

@@ -552,6 +552,13 @@ const zhHans = {
     viewSource: '查看来源',
     loadingReadme: '正在加载文档...',
     noReadme: '该插件没有提供 README 文档',
+    tabDocs: '文档',
+    tabLogs: '日志',
+    logsLevelAll: '全部级别',
+    logsRefresh: '刷新',
+    logsAutoRefreshOn: '自动刷新：开',
+    logsAutoRefreshOff: '自动刷新：关',
+    logsEmpty: '暂无日志。插件通过 logger 打印的日志会显示在这里。',
     fileUpload: {
       tooLarge: '文件大小超过 10MB 限制',
       success: '文件上传成功',

web/src/i18n/locales/zh-Hant.ts

@@ -552,6 +552,13 @@ const zhHant = {
     viewSource: '查看來源',
     loadingReadme: '正在載入文件...',
     noReadme: '該插件沒有提供 README 文件',
+    tabDocs: '文件',
+    tabLogs: '日誌',
+    logsLevelAll: '全部級別',
+    logsRefresh: '重新整理',
+    logsAutoRefreshOn: '自動重新整理：開',
+    logsAutoRefreshOff: '自動重新整理：關',
+    logsEmpty: '暫無日誌。外掛透過 logger 列印的日誌會顯示在這裡。',
     fileUpload: {
       tooLarge: '檔案大小超過 10MB 限制',
       success: '檔案上傳成功',