Merge branch 'master' of https://github.com/langbot-app/LangBot into test/onebot-v11-protocol

# Conflicts:
#	src/langbot/pkg/platform/adapters/aiocqhttp/transport.py
This commit is contained in:
RockChinQ
2026-10-12 05:49:03 +00:00
6 changed files with 104 additions and 78 deletions
@@ -24,12 +24,21 @@ def parse_iso_datetime(datetime_str: str | None) -> datetime.datetime | None:
return dt
def validate_monitoring_window(start_time: datetime.datetime | None, end_time: datetime.datetime | None) -> None:
def validate_monitoring_window(
start_time: datetime.datetime | None,
end_time: datetime.datetime | None,
*,
allow_point_window: bool = False,
) -> None:
"""Bound explicit dashboard windows to one year without silently truncating them."""
if start_time is None:
return
end = end_time or datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
if start_time >= end or end - start_time > datetime.timedelta(days=365):
if (
start_time > end
or (start_time == end and not allow_point_window)
or end - start_time > datetime.timedelta(days=365)
):
quart.abort(400, description='Monitoring time range must be positive and no longer than 365 days')
@@ -580,7 +589,8 @@ class MonitoringRouterGroup(group.RouterGroup):
"""Get detailed analysis for a specific session"""
start_time = parse_iso_datetime(quart.request.args.get('startTime'))
end_time = parse_iso_datetime(quart.request.args.get('endTime'))
validate_monitoring_window(start_time, end_time)
# Message pages can contain one timestamp; tool-call bounds are inclusive.
validate_monitoring_window(start_time, end_time, allow_point_window=True)
analysis = await self.ap.monitoring_service.get_session_analysis(
request_context,
session_id,
@@ -16,7 +16,11 @@ import langbot_plugin.api.entities.builtin.provider.message as provider_message
class _ThinkStripState:
"""Stateful filter that drops think blocks across chunks."""
"""Drop explicit think blocks, buffering only possible split tag prefixes.
Untagged text must stream immediately: an orphan closing tag cannot identify
earlier text as reasoning without delaying every ordinary answer until EOF.
"""
_THINK_OPEN = '<think>'
_THINK_CLOSE = '</think>'
@@ -31,7 +35,6 @@ class _ThinkStripState:
self._open_tags = tuple(open_tag for open_tag, _close_tag in self._pairs)
self._buf = ''
self._close_tag: str | None = None
self._pending_initial = True
def feed(self, chunk: str) -> str:
"""Feed a streaming delta and return user-visible content."""
@@ -64,7 +67,6 @@ class _ThinkStripState:
if close_idx != -1:
self._close_tag = None
self._buf = ''
self._pending_initial = False
return self._process_visible_text(text[close_idx + len(close_tag) :])
self._buf = self._close_prefix(text, close_tag)
@@ -75,37 +77,14 @@ class _ThinkStripState:
index = 0
while index < len(text):
if self._pending_initial:
open_idx, open_tag, close_tag = self._find_next_open(text, index)
orphan_close_idx, orphan_close_tag = self._find_next_close(text, index)
if orphan_close_idx != -1 and (open_idx == -1 or orphan_close_idx < open_idx):
self._pending_initial = False
index = orphan_close_idx + len(orphan_close_tag)
continue
if open_idx == -1:
self._buf = text[index:]
return ''.join(out)
if open_idx > index:
self._pending_initial = False
out.append(text[index:open_idx])
index = open_idx
continue
open_idx, open_tag, close_tag = self._find_next_open(text, index)
if open_idx == -1:
emit_end = self._visible_emit_end(text, index)
out.append(text[index:emit_end])
if emit_end > index:
self._pending_initial = False
self._buf = text[emit_end:]
return ''.join(out)
out.append(text[index:open_idx])
if open_idx > index:
self._pending_initial = False
body_start = open_idx + len(open_tag)
close_idx = text.find(close_tag, body_start)
if close_idx == -1:
@@ -113,7 +92,6 @@ class _ThinkStripState:
self._buf = self._close_prefix(text[body_start:], close_tag)
return ''.join(out)
self._pending_initial = False
index = close_idx + len(close_tag)
self._buf = ''
@@ -131,16 +109,6 @@ class _ThinkStripState:
best_close = close_tag
return best_idx, best_open, best_close
def _find_next_close(self, text: str, start: int) -> tuple[int, str]:
best_idx = -1
best_close = ''
for _open_tag, close_tag in self._pairs:
idx = text.find(close_tag, start)
if idx != -1 and (best_idx == -1 or idx < best_idx):
best_idx = idx
best_close = close_tag
return best_idx, best_close
def _visible_emit_end(self, text: str, start: int) -> int:
visible = text[start:]
limit = min(len(visible), max(len(open_tag) for open_tag in self._open_tags) - 1)
@@ -183,6 +183,31 @@ async def test_analysis_fails_closed_and_scopes_statistics(service):
assert result['session']['bot_id'] == 'b'
async def test_single_message_analysis_without_tool_calls(service):
from langbot.pkg.api.http.controller.groups.monitoring import validate_monitoring_window
from werkzeug.exceptions import BadRequest
await service.record_session_start(context('a'), session_id='person_42', **resource('a'))
await service.record_message(context('a'), session_id='person_42', message_content='hi', **resource('a'))
row = (await service.ap.persistence_mgr.execute_async(sa.select(models.MonitoringMessage.timestamp))).one()
timestamp = row.timestamp
validate_monitoring_window(timestamp, timestamp, allow_point_window=True)
result = await service.get_session_analysis(
context(), 'person_42', bot_id='a', start_time=timestamp, end_time=timestamp
)
assert result['found'] is True
assert result['message_stats']['total'] == 1
assert result['tool_calls'] == []
for start, end in [
(timestamp + dt.timedelta(seconds=1), timestamp),
(timestamp, timestamp + dt.timedelta(days=366)),
]:
with pytest.raises(BadRequest):
validate_monitoring_window(start, end, allow_point_window=True)
with pytest.raises(BadRequest):
validate_monitoring_window(timestamp, timestamp)
async def test_activity_requires_bot_and_upsert_counts_racing_first_queries(service):
for _ in range(2):
await service.record_session_start(context('a'), session_id='person_42', **resource('a'))
+52 -32
View File
@@ -379,43 +379,33 @@ class TestInvokeLLMStreamUsage:
assert ''.join(chunk.content or '' for chunk in collected) == 'Visible answer'
@pytest.mark.asyncio
async def test_stream_removes_initial_orphan_think_close(self):
"""Initial reasoning content without an open tag is removed until </think>."""
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
import langbot_plugin.api.entities.builtin.provider.message as provider_message
@pytest.mark.parametrize('separate_reasoning', [False, True])
async def test_remove_think_preserves_incremental_plain_text(self, separate_reasoning):
"""Visible text must arrive before the provider produces the next delta."""
mock_ap = Mock()
mock_ap.tool_mgr = Mock()
mock_ap.tool_mgr.generate_tools_for_openai = AsyncMock(return_value=None)
requester = litellmchat.LiteLLMRequester(ap=mock_ap, config={})
model = MockRuntimeModel('minimax-m3', 'test-api-key')
model = MockRuntimeModel('gpt-4o', 'test-api-key')
consumed = []
chunks = [
self._make_chunk(content='hidden reasoning'),
self._make_chunk(content=' still hidden</thi'),
self._make_chunk(content='nk>Visible answer', finish_reason='stop'),
]
async def provider_stream():
if separate_reasoning:
reasoning_chunk = self._make_chunk()
reasoning_chunk.choices[0].delta.model_dump.return_value['reasoning_content'] = 'hidden reasoning'
yield reasoning_chunk
for text in ['Hello', ' world']:
consumed.append(text)
yield self._make_chunk(content=text)
yield self._make_chunk(content=None, finish_reason='stop')
async def _aiter(*args, **kwargs):
for c in chunks:
yield c
query = Mock(spec=pipeline_query.Query)
query.variables = {}
messages = [provider_message.Message(role='user', content='Hi')]
with patch.object(litellmchat, 'acompletion', new=AsyncMock(side_effect=lambda **kw: _aiter())):
collected = [
chunk
async for chunk in requester.invoke_llm_stream(
query=query,
model=model,
messages=messages,
remove_think=True,
)
]
assert ''.join(chunk.content or '' for chunk in collected) == 'Visible answer'
with patch.object(litellmchat, 'acompletion', new=AsyncMock(side_effect=lambda **kw: provider_stream())):
received = []
async for chunk in requester.invoke_llm_stream(query=None, model=model, messages=[], remove_think=True):
if chunk.content:
received.append(chunk.content)
assert received == consumed
assert not chunk.is_final
assert received == ['Hello', ' world']
@pytest.mark.asyncio
async def test_stream_removes_non_leading_think_content(self):
@@ -1540,3 +1530,33 @@ class TestScanModels:
if __name__ == '__main__':
pytest.main([__file__, '-v'])
class TestStreamingThinkFilter:
@pytest.mark.parametrize(
'opening,closing',
[
('<think>', '</think>'),
('CRETIRE_REASONING_BEGINk', 'CRETIRE_REASONING_ENDk'),
],
)
def test_split_tags_and_repeated_blocks(self, opening, closing):
state = litellmchat._ThinkStripState()
assert state.feed('Before ') == 'Before '
for char in opening + 'hidden' + closing:
assert state.feed(char) == ''
assert state.feed('Answer ') == 'Answer '
assert state.feed(opening + 'more hidden' + closing + 'end') == 'end'
assert state.flush() == ''
def test_unclosed_think_is_discarded(self):
state = litellmchat._ThinkStripState()
assert state.feed('<think>hidden') == ''
assert state.flush() == ''
def test_partial_non_tag_is_released(self):
state = litellmchat._ThinkStripState()
assert state.feed('Answer <thi') == 'Answer '
assert state.feed('ng>') == '<thing>'
assert state.feed(' <') == ' '
assert state.flush() == '<'
@@ -340,16 +340,12 @@ export default function PipelineMigration({
return (
<>
{(count > 0 || previewError || results.length > 0) && (
{(count > 0 || results.length > 0) && (
<Alert className="mb-4 shrink-0 border-amber-200 bg-amber-50 text-amber-900 dark:border-amber-900/50 dark:bg-amber-950/30 dark:text-amber-200">
<AlertTriangle aria-hidden="true" />
<AlertTitle>{t('pipelineMigration.title')}</AlertTitle>
<AlertDescription className="flex items-center justify-between gap-3 text-amber-800 dark:text-amber-200">
<span>
{previewError
? t('pipelineMigration.previewError')
: t('pipelineMigration.detected', { count })}
</span>
<span>{t('pipelineMigration.detected', { count })}</span>
<Button
variant="outline"
size="sm"
+7
View File
@@ -4,6 +4,7 @@ import axios, {
AxiosResponse,
AxiosError,
} from 'axios';
import i18n from 'i18next';
import {
clearActiveWorkspaceUuid,
getActiveWorkspaceUuid,
@@ -79,6 +80,12 @@ export abstract class BaseHttpClient {
// 请求拦截
this.instance.interceptors.request.use(
async (config) => {
// Account-only endpoints have no selected Workspace. Workspace routes
// resolve their persisted language and override this presentation hint.
// This is a LangBot backend hint, not part of the public Space API.
if (!this.disableToken) {
config.headers['X-LangBot-Language'] = i18n.language || 'en-US';
}
// 客户端添加认证头
if (typeof window !== 'undefined' && !this.disableToken) {
const session = this.getSessionSync();