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fix(agent-runner): reconcile master rebase

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This commit is contained in:
huanghuoguoguo
2026-06-13 17:52:25 +08:00
parent 3683bfd793
commit 735a0011b0
2 changed files with 2 additions and 72 deletions
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src/langbot/pkg/persistence/alembic/versions/0005_migrate_runner_config.py
+2 -2
View File
@@ -1,7 +1,7 @@
"""Normalize AgentRunner config containers
Revision ID: 0005_migrate_runner_config
Revises: 0004_add_mcp_readme
Revises: 0005_add_llm_context_length
Create Date: 2026-05-10
"""
@@ -12,7 +12,7 @@ from alembic import op
from langbot.pkg.agent.runner.config_migration import ConfigMigration
revision = '0005_migrate_runner_config'
down_revision = '0004_add_mcp_readme'
down_revision = '0005_add_llm_context_length'
branch_labels = None
depends_on = None
tests/unit_tests/provider/test_model_service.py
-70
View File
@@ -18,8 +18,6 @@ from langbot.pkg.entity.persistence import model as persistence_model
from langbot.pkg.pipeline.preproc.preproc import PreProcessor
from langbot.pkg.provider.modelmgr import requester
from langbot.pkg.provider.modelmgr.modelmgr import ModelManager
from langbot.pkg.provider.modelmgr.requesters.chatcmpl import OpenAIChatCompletions
from langbot.pkg.provider.modelmgr.requesters.modelscopechatcmpl import ModelScopeChatCompletions
from langbot.pkg.provider.modelmgr.token import TokenManager
@@ -117,74 +115,6 @@ def test_token_manager_next_token_ignores_empty_token_list():
assert token_mgr.using_token_index == 0
@pytest.mark.asyncio
async def test_openai_requester_initialize_uses_placeholder_api_key(monkeypatch):
captured_kwargs = {}
def fake_client(**kwargs):
captured_kwargs.update(kwargs)
return SimpleNamespace(**kwargs)
monkeypatch.setattr('langbot.pkg.provider.modelmgr.requesters.chatcmpl.openai.AsyncClient', fake_client)
monkeypatch.setattr('langbot.pkg.provider.modelmgr.requesters.chatcmpl.httpx.AsyncClient', fake_client)
requester_inst = OpenAIChatCompletions(ap=SimpleNamespace(), config={})
await requester_inst.initialize()
assert captured_kwargs['api_key'] == OpenAIChatCompletions.init_api_key
@pytest.mark.asyncio
async def test_modelscope_requester_initialize_uses_placeholder_api_key(monkeypatch):
captured_kwargs = {}
def fake_client(**kwargs):
captured_kwargs.update(kwargs)
return SimpleNamespace(**kwargs)
monkeypatch.setattr('langbot.pkg.provider.modelmgr.requesters.modelscopechatcmpl.openai.AsyncClient', fake_client)
monkeypatch.setattr('langbot.pkg.provider.modelmgr.requesters.modelscopechatcmpl.httpx.AsyncClient', fake_client)
requester_inst = ModelScopeChatCompletions(ap=SimpleNamespace(), config={})
await requester_inst.initialize()
assert captured_kwargs['api_key'] == ModelScopeChatCompletions.init_api_key
@pytest.mark.asyncio
async def test_openai_embedding_call_overrides_placeholder_api_key():
captured_request = {}
async def fake_create(**kwargs):
captured_request['api_key'] = fake_client.api_key
captured_request['kwargs'] = kwargs
return SimpleNamespace(
data=[SimpleNamespace(embedding=[0.1, 0.2])],
usage=SimpleNamespace(prompt_tokens=3, total_tokens=3),
)
fake_client = SimpleNamespace(
api_key=OpenAIChatCompletions.init_api_key,
embeddings=SimpleNamespace(create=fake_create),
)
requester_inst = OpenAIChatCompletions(ap=SimpleNamespace(), config={})
requester_inst.client = fake_client
embeddings, usage_info = await requester_inst.invoke_embedding(
model=requester.RuntimeEmbeddingModel(
model_entity=SimpleNamespace(name='text-embedding-3-small', extra_args={}),
provider=SimpleNamespace(token_mgr=TokenManager('provider-uuid', [' runtime-key ', '', 'runtime-key'])),
),
input_text=['hello'],
)
assert captured_request['api_key'] == 'runtime-key'
assert captured_request['kwargs']['model'] == 'text-embedding-3-small'
assert embeddings == [[0.1, 0.2]]
assert usage_info == {'prompt_tokens': 3, 'total_tokens': 3}
@pytest.mark.asyncio
async def test_model_manager_initialize_skips_space_sync_after_timeout():
ap = SimpleNamespace()