feat: support Space rerank models (#2358)

Co-authored-by: chan <dadachann@users.noreply.github.com>
This commit is contained in:
Hyu
2026-07-26 16:37:34 +08:00
committed by GitHub
parent 38e35d328a
commit dd8d1007a1
7 changed files with 171 additions and 5 deletions
@@ -232,8 +232,15 @@ class ModelProviderService:
llm_models = await self.ap.llm_model_service.get_llm_models_by_provider(provider_uuid)
embedding_models = await self.ap.embedding_models_service.get_embedding_models_by_provider(provider_uuid)
rerank_service = getattr(self.ap, 'rerank_models_service', None)
rerank_models = (
await rerank_service.get_rerank_models_by_provider(provider_uuid)
if rerank_service is not None
else []
)
existing_llm_names = {model['name'] for model in llm_models}
existing_embedding_names = {model['name'] for model in embedding_models}
existing_rerank_names = {model['name'] for model in rerank_models}
filtered_models = []
for model in scanned_models:
@@ -260,6 +267,8 @@ class ModelProviderService:
'already_added': (
model_name in existing_embedding_names
if scanned_type == 'embedding'
else model_name in existing_rerank_names
if scanned_type == 'rerank'
else model_name in existing_llm_names
),
}
@@ -193,6 +193,9 @@ class ModelManager:
existing_embedding_models = {
m['uuid']: m for m in await self.ap.embedding_models_service.get_embedding_models()
}
existing_rerank_models = {
m['uuid']: m for m in await self.ap.rerank_models_service.get_rerank_models()
}
created = 0
updated = 0
@@ -258,6 +261,33 @@ class ModelManager:
await self.ap.embedding_models_service.update_embedding_model(space_model.uuid, dict(desired))
updated += 1
elif space_model.category == 'rerank':
existing = existing_rerank_models.get(space_model.uuid)
if existing is None:
await self.ap.rerank_models_service.create_rerank_model(
{
'uuid': space_model.uuid,
'name': space_model.model_id,
'provider_uuid': space_model_provider.uuid,
'extra_args': {},
'prefered_ranking': space_model.featured_order,
},
preserve_uuid=True,
)
created += 1
elif existing.get('provider_uuid') == space_model_provider.uuid:
desired = {
'name': space_model.model_id,
'provider_uuid': space_model_provider.uuid,
'prefered_ranking': space_model.featured_order,
}
if (
existing.get('name') != desired['name']
or existing.get('prefered_ranking') != desired['prefered_ranking']
):
await self.ap.rerank_models_service.update_rerank_model(space_model.uuid, dict(desired))
updated += 1
if created or updated:
self.ap.logger.info(f'Synced models from LangBot Space: {created} added, {updated} updated.')
@@ -943,16 +943,21 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
if api_key:
headers['Authorization'] = f'Bearer {api_key}'
request_args = dict(extra_args)
rerank_url = request_args.pop('rerank_url', None)
rerank_path = request_args.pop('rerank_path', 'rerank')
payload: dict[str, typing.Any] = {
'model': model_name,
'query': query,
'documents': documents,
'top_n': top_n,
}
if extra_args:
payload.update(extra_args)
if request_args:
payload.update(request_args)
rerank_url = f'{base_url}/rerank'
if not rerank_url:
rerank_url = f'{base_url}/{str(rerank_path).strip("/")}'
try:
async with httpx.AsyncClient(timeout=timeout) as client:
@@ -777,6 +777,44 @@ class TestModelProviderServiceScanProviderModels:
assert len(result['models']) == 1
assert result['models'][0]['type'] == 'llm'
async def test_scan_provider_marks_existing_rerank_model(self):
"""Rerank scan results use the rerank service when computing already_added."""
ap = SimpleNamespace()
ap.persistence_mgr = SimpleNamespace()
ap.model_mgr = SimpleNamespace()
ap.llm_model_service = SimpleNamespace()
ap.embedding_models_service = SimpleNamespace()
ap.rerank_models_service = SimpleNamespace()
provider = _create_mock_provider(provider_uuid='rerank-scan-uuid')
ap.persistence_mgr.execute_async = AsyncMock(return_value=_create_mock_result([], first_item=provider))
ap.persistence_mgr.serialize_model = Mock(
return_value={
'uuid': 'rerank-scan-uuid',
'name': 'New API',
'requester': 'new-api-chat-completions',
'base_url': 'https://new-api.example.com/v1',
'api_keys': ['key'],
}
)
runtime_provider = Mock()
runtime_provider.token_mgr.get_token.return_value = 'token'
runtime_provider.requester.scan_models = AsyncMock(
return_value={'models': [{'id': 'Qwen3-Reranker-8B', 'type': 'rerank'}]}
)
ap.model_mgr.load_provider = AsyncMock(return_value=runtime_provider)
ap.llm_model_service.get_llm_models_by_provider = AsyncMock(return_value=[])
ap.embedding_models_service.get_embedding_models_by_provider = AsyncMock(return_value=[])
ap.rerank_models_service.get_rerank_models_by_provider = AsyncMock(
return_value=[{'name': 'Qwen3-Reranker-8B'}]
)
result = await ModelProviderService(ap).scan_provider_models('rerank-scan-uuid', model_type='rerank')
assert result['models'][0]['type'] == 'rerank'
assert result['models'][0]['already_added'] is True
async def test_scan_provider_not_implemented_raises_error(self):
"""Raises ValueError when scan not implemented."""
# Setup
@@ -693,7 +693,7 @@ class TestSpaceServiceGetModels:
'uuid': 'uuid-2',
'model_id': 'model-2',
'provider': 'provider-2',
'category': 'chat',
'category': 'rerank',
'status': 'active',
},
]
@@ -714,6 +714,7 @@ class TestSpaceServiceGetModels:
# Verify
assert len(result) == 2
assert result[1].category == 'rerank'
async def test_get_models_api_error(self):
"""Raises ValueError on API error."""
@@ -1147,6 +1147,46 @@ class TestInvokeRerank:
assert results[0]['relevance_score'] == 1.0
assert results[1]['relevance_score'] == 0.0
@pytest.mark.asyncio
@pytest.mark.parametrize(
('model_extra_args', 'expected_url'),
[
({'rerank_path': 'reranks'}, 'https://gateway.example.com/v1/reranks'),
({'rerank_url': 'https://rerank.example.com/api/rerank'}, 'https://rerank.example.com/api/rerank'),
],
)
async def test_invoke_rerank_openai_compatible_endpoint_override(self, model_extra_args, expected_url):
"""Endpoint configuration controls routing and is not sent in the Cohere body."""
requester = litellmchat.LiteLLMRequester(
ap=Mock(),
config={
'base_url': 'https://gateway.example.com/v1/',
'custom_llm_provider': 'openai',
},
)
model = MockRuntimeRerankModel('Qwen3-Reranker-8B', 'test-api-key')
model.model_entity.extra_args = model_extra_args
mock_resp = Mock()
mock_resp.raise_for_status = Mock()
mock_resp.json = Mock(return_value={'results': [{'index': 0, 'relevance_score': 0.8}]})
mock_client = AsyncMock()
mock_client.post = AsyncMock(return_value=mock_resp)
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
mock_client.__aexit__ = AsyncMock(return_value=False)
with patch('httpx.AsyncClient', return_value=mock_client):
await requester.invoke_rerank(model=model, query='query', documents=['document'])
assert mock_client.post.call_args.args[0] == expected_url
payload = mock_client.post.call_args.kwargs['json']
assert payload == {
'model': 'Qwen3-Reranker-8B',
'query': 'query',
'documents': ['document'],
'top_n': 1,
}
class TestConvertMessages:
"""Test _convert_messages method"""
@@ -8,7 +8,8 @@ and error handling without calling real LLM APIs.
from __future__ import annotations
import pytest
from unittest.mock import Mock
from types import SimpleNamespace
from unittest.mock import AsyncMock, Mock
from langbot.pkg.provider.modelmgr.modelmgr import ModelManager
from langbot.pkg.provider.modelmgr import requester
@@ -62,6 +63,48 @@ async def test_model_manager_skips_space_sync_when_disabled(mock_app_for_modelmg
app.space_service.get_models.assert_not_called()
@pytest.mark.asyncio
async def test_sync_new_models_from_space_creates_rerank_models(mock_app_for_modelmgr):
"""Space rerank entries are discovered and persisted under the shared provider."""
app = mock_app_for_modelmgr
provider = persistence_model.ModelProvider(
uuid='space-provider',
name='LangBot Space',
requester='space-chat-completions',
base_url='https://api.langbot.cloud/v1',
api_keys=['space-key'],
)
app.persistence_mgr.execute_async = AsyncMock(return_value=_make_mock_result([provider], first_item=provider))
app.space_service.get_models = AsyncMock(
return_value=[
SimpleNamespace(
uuid='rerank-model-uuid',
model_id='Qwen3-Reranker-8B',
category='rerank',
featured_order=10,
)
]
)
app.llm_model_service.get_llm_models = AsyncMock(return_value=[])
app.embedding_models_service.get_embedding_models = AsyncMock(return_value=[])
app.rerank_models_service = AsyncMock()
app.rerank_models_service.get_rerank_models = AsyncMock(return_value=[])
model_mgr = ModelManager(app)
await model_mgr.sync_new_models_from_space()
app.rerank_models_service.create_rerank_model.assert_awaited_once_with(
{
'uuid': 'rerank-model-uuid',
'name': 'Qwen3-Reranker-8B',
'provider_uuid': 'space-provider',
'extra_args': {},
'prefered_ranking': 10,
},
preserve_uuid=True,
)
# ============================================================================
# Model Loading Tests
# ============================================================================