通过 HTTP 调用召回与嵌入遇到了异常，不知道该如何解决

- 版本：https://github.com/agentscope-ai/ReMe/releases/tag/v0.3.1.8
- 部署方式：Docker（详细的 Dockerfile 和 docker-compose.yaml 后面有附上）

通过 agentscope-java 中 [ReMeClient.java](https://github.com/agentscope-ai/agentscope-java/blob/v1.0.11/agentscope-extensions/agentscope-extensions-reme/src/main/java/io/agentscope/core/memory/reme/ReMeClient.java) 发起的 HTTP 调用。异常堆栈如下：
```
2026-04-08 10:33:27 | ERROR | base_embedding_model.py:126 | embedding model name=bge-m3 encounter error with e=('Error code: 400 - {\'error\': {\'message\': \'Model "bge-m3" does not support matryoshka representation, changing output dimensions will lead to poor results.\', \'type\': \'BadRequestError\', \'param\': \'\', \'code\': 400}}',)
[33m[1mTraceback (most recent call last):[0m

  File "/opt/reme/.venv/bin/reme", line 6, in <module>
    sys.exit(main())
    │   │    └ <function main at 0x73b6151dc9a0>
    │   └ <built-in function exit>
    └ <module 'sys' (built-in)>

  File "[32m/opt/reme/reme_ai/[0m[32m[1mmain.py[0m", line [33m231[0m, in [35mmain[0m
    [1mapp[0m[35m[1m.[0m[1mrun_service[0m[1m([0m[1m)[0m
    [36m│   └ [0m[36m[1m<function Application.run_service at 0x73b6151dd580>[0m
    [36m└ [0m[36m[1m<reme_ai.main.ReMeApp object at 0x73b62a862b70>[0m

  File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/application.py", line 384, in run_service
    service.run()
    │       └ <function HttpService.run at 0x73b6162abe20>
    └ <flowllm.core.service.http_service.HttpService object at 0x73b6281913d0>
  File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/service/http_service.py", line 123, in run
    uvicorn.run(
    │       └ <function run at 0x73b6284a5b20>
    └ <module 'uvicorn' from '/opt/reme/.venv/lib/python3.12/site-packages/uvicorn/__init__.py'>
  File "/opt/reme/.venv/lib/python3.12/site-packages/uvicorn/main.py", line 606, in run
    server.run()
    │      └ <function Server.run at 0x73b6284a5ee0>
    └ <uvicorn.server.Server object at 0x73b614d549b0>
  File "/opt/reme/.venv/lib/python3.12/site-packages/uvicorn/server.py", line 75, in run
    return asyncio_run(self.serve(sockets=sockets), loop_factory=self.config.get_loop_factory())
           │           │    │             │                      │    │      └ <function Config.get_loop_factory at 0x73b6284a58a0>
           │           │    │             │                      │    └ <uvicorn.config.Config object at 0x73b614d8fcb0>
           │           │    │             │                      └ <uvicorn.server.Server object at 0x73b614d549b0>
           │           │    │             └ None
           │           │    └ <function Server.serve at 0x73b6284a5f80>
           │           └ <uvicorn.server.Server object at 0x73b614d549b0>
           └ <function run at 0x73b629f21ee0>
  File "/usr/lib/python3.12/asyncio/runners.py", line 194, in run
    return runner.run(main)
           │      │   └ <coroutine object Server.serve at 0x73b614bf82e0>
           │      └ <function Runner.run at 0x73b629f6f880>
           └ <asyncio.runners.Runner object at 0x73b614d8cd70>
  File "/usr/lib/python3.12/asyncio/runners.py", line 118, in run
    return self._loop.run_until_complete(task)
           │    │     │                  └ <Task pending name='Task-4' coro=<Server.serve() running at /opt/reme/.venv/lib/python3.12/site-packages/uvicorn/server.py:79...
           │    │     └ <cyfunction Loop.run_until_complete at 0x73b614d81300>
           │    └ <uvloop.Loop running=True closed=False debug=False>
           └ <asyncio.runners.Runner object at 0x73b614d8cd70>
> File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/embedding_model/base_embedding_model.py", line 123, in async_get_embeddings
    return await self._async_get_embeddings(input_text)
                 │    │                     └ ['Xiao Bai, 29, apples, Hami melons']
                 │    └ <function OpenAICompatibleEmbeddingModel._async_get_embeddings at 0x73b626d7c400>
                 └ <flowllm.core.embedding_model.openai_compatible_embedding_model.OpenAICompatibleEmbeddingModel object at 0x73b6153c5d90>
  File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/embedding_model/openai_compatible_embedding_model.py", line 124, in _async_get_embeddings
    completion = await self._async_client.embeddings.create(
                       │    │             │          └ <function AsyncEmbeddings.create at 0x73b611c89440>
                       │    │             └ <openai.resources.embeddings.AsyncEmbeddings object at 0x73b614c7a900>
                       │    └ <openai.AsyncOpenAI object at 0x73b61517d070>
                       └ <flowllm.core.embedding_model.openai_compatible_embedding_model.OpenAICompatibleEmbeddingModel object at 0x73b6153c5d90>
  File "/opt/reme/.venv/lib/python3.12/site-packages/openai/resources/embeddings.py", line 259, in create
    return await self._post(
                 │    └ <bound method AsyncAPIClient.post of <openai.AsyncOpenAI object at 0x73b61517d070>>
                 └ <openai.resources.embeddings.AsyncEmbeddings object at 0x73b614c7a900>
  File "/opt/reme/.venv/lib/python3.12/site-packages/openai/_base_client.py", line 1884, in post
    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
                 │    │       │        │            │                  └ None
                 │    │       │        │            └ False
                 │    │       │        └ FinalRequestOptions(method='post', url='/embeddings', params={}, headers=NOT_GIVEN, max_retries=NOT_GIVEN, timeout=NOT_GIVEN,...
                 │    │       └ <class 'openai.types.create_embedding_response.CreateEmbeddingResponse'>
                 │    └ <function AsyncAPIClient.request at 0x73b626e13e20>
                 └ <openai.AsyncOpenAI object at 0x73b61517d070>
  File "/opt/reme/.venv/lib/python3.12/site-packages/openai/_base_client.py", line 1669, in request
    raise self._make_status_error_from_response(err.response) from None
          │    └ <function BaseClient._make_status_error_from_response at 0x73b626e10fe0>
          └ <openai.AsyncOpenAI object at 0x73b61517d070>

[31m[1mopenai.BadRequestError[0m:[1m Error code: 400 - {'error': {'message': 'Model "bge-m3" does not support matryoshka representation, changing output dimensions will lead to poor results.', 'type': 'BadRequestError', 'param': '', 'code': 400}}[0m
2026-04-08 10:33:27 | ERROR | base_async_op.py:190 | op=update_vector_store_op async execute failed, error=('Error code: 400 - {\'error\': {\'message\': \'Model "bge-m3" does not support matryoshka representation, changing output dimensions will lead to poor results.\', \'type\': \'BadRequestError\', \'param\': \'\', \'code\': 400}}',)
[33m[1mTraceback (most recent call last):[0m

  File "/opt/reme/.venv/bin/reme", line 6, in <module>
    sys.exit(main())
    │   │    └ <function main at 0x73b6151dc9a0>
    │   └ <built-in function exit>
    └ <module 'sys' (built-in)>

  File "[32m/opt/reme/reme_ai/[0m[32m[1mmain.py[0m", line [33m231[0m, in [35mmain[0m
    [1mapp[0m[35m[1m.[0m[1mrun_service[0m[1m([0m[1m)[0m
    [36m│   └ [0m[36m[1m<function Application.run_service at 0x73b6151dd580>[0m
    [36m└ [0m[36m[1m<reme_ai.main.ReMeApp object at 0x73b62a862b70>[0m

  File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/application.py", line 384, in run_service
    service.run()
    │       └ <function HttpService.run at 0x73b6162abe20>
    └ <flowllm.core.service.http_service.HttpService object at 0x73b6281913d0>
  File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/service/http_service.py", line 123, in run
    uvicorn.run(
    │       └ <function run at 0x73b6284a5b20>
    └ <module 'uvicorn' from '/opt/reme/.venv/lib/python3.12/site-packages/uvicorn/__init__.py'>
  File "/opt/reme/.venv/lib/python3.12/site-packages/uvicorn/main.py", line 606, in run
    server.run()
    │      └ <function Server.run at 0x73b6284a5ee0>
    └ <uvicorn.server.Server object at 0x73b614d549b0>
  File "/opt/reme/.venv/lib/python3.12/site-packages/uvicorn/server.py", line 75, in run
    return asyncio_run(self.serve(sockets=sockets), loop_factory=self.config.get_loop_factory())
           │           │    │             │                      │    │      └ <function Config.get_loop_factory at 0x73b6284a58a0>
           │           │    │             │                      │    └ <uvicorn.config.Config object at 0x73b614d8fcb0>
           │           │    │             │                      └ <uvicorn.server.Server object at 0x73b614d549b0>
           │           │    │             └ None
           │           │    └ <function Server.serve at 0x73b6284a5f80>
           │           └ <uvicorn.server.Server object at 0x73b614d549b0>
           └ <function run at 0x73b629f21ee0>
  File "/usr/lib/python3.12/asyncio/runners.py", line 194, in run
    return runner.run(main)
           │      │   └ <coroutine object Server.serve at 0x73b614bf82e0>
           │      └ <function Runner.run at 0x73b629f6f880>
           └ <asyncio.runners.Runner object at 0x73b614d8cd70>
  File "/usr/lib/python3.12/asyncio/runners.py", line 118, in run
    return self._loop.run_until_complete(task)
           │    │     │                  └ <Task pending name='Task-4' coro=<Server.serve() running at /opt/reme/.venv/lib/python3.12/site-packages/uvicorn/server.py:79...
           │    │     └ <cyfunction Loop.run_until_complete at 0x73b614d81300>
           │    └ <uvloop.Loop running=True closed=False debug=False>
           └ <asyncio.runners.Runner object at 0x73b614d8cd70>
  File "/opt/reme/.venv/lib/python3.12/site-packages/uvicorn/protocols/http/httptools_impl.py", line 416, in run_asgi
    result = await app(  # type: ignore[func-returns-value]
                   └ <uvicorn.middleware.proxy_headers.ProxyHeadersMiddleware object at 0x73b614d8e8a0>
  File "/opt/reme/.venv/lib/python3.12/site-packages/uvicorn/middleware/proxy_headers.py", line 60, in __call__
    return await self.app(scope, receive, send)
                 │    │   │      │        └ <bound method RequestResponseCycle.send of <uvicorn.protocols.http.httptools_impl.RequestResponseCycle object at 0x73b614ce5e...
                 │    │   │      └ <bound method RequestResponseCycle.receive of <uvicorn.protocols.http.httptools_impl.RequestResponseCycle object at 0x73b614c...
                 │    │   └ {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.3'}, 'http_version': '1.1', 'server': ('172.18.0.2', 28202), '...
                 │    └ <fastapi.applications.FastAPI object at 0x73b61516aed0>
                 └ <uvicorn.middleware.proxy_headers.ProxyHeadersMiddleware object at 0x73b614d8e8a0>
  File "/opt/reme/.venv/lib/python3.12/site-packages/fastapi/applications.py", line 1163, in __call__
    await super().__call__(scope, receive, send)
                           │      │        └ <bound method RequestResponseCycle.send of <uvicorn.protocols.http.httptools_impl.RequestResponseCycle object at 0x73b614ce5e...
                           │      └ <bound method RequestResponseCycle.receive of <uvicorn.protocols.http.httptools_impl.RequestResponseCycle object at 0x73b614c...
                           └ {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.3'}, 'http_version': '1.1', 'server': ('172.18.0.2', 28202), '...
  File "/opt/reme/.venv/lib/python3.12/site-packages/starlette/applications.py", line 90, in __call__
    await self.middleware_stack(scope, receive, send)
          │    │                │      │        └ <bound method RequestResponseCycle.send of <uvicorn.protocols.http.httptools_impl.RequestResponseCycle object at 0x73b614ce5e...
          │    │                │      └ <bound method RequestResponseCycle.receive of <uvicorn.protocols.http.httptools_impl.RequestResponseCycle object at 0x73b614c...
          │    │                └ {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.3'}, 'http_version': '1.1', 'server': ('172.18.0.2', 28202), '...
          │    └ <starlette.middleware.errors.ServerErrorMiddleware object at 0x73b614ce56a0>
          └ <fastapi.applications.FastAPI object at 0x73b61516aed0>
  File "/opt/reme/.venv/lib/python3.12/site-packages/starlette/middleware/errors.py", line 164, in __call__
    await self.app(scope, receive, _send)
          │    │   │      │        └ <function ServerErrorMiddleware.__call__.<locals>._send at 0x73b6148ef740>
          │    │   │      └ <bound method RequestResponseCycle.receive of <uvicorn.protocols.http.httptools_impl.RequestResponseCycle object at 0x73b614c...
          │    │   └ {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.3'}, 'http_version': '1.1', 'server': ('172.18.0.2', 28202), '...
          │    └ <starlette.middleware.cors.CORSMiddleware object at 0x73b614ce5640>
          └ <starlette.middleware.errors.ServerErrorMiddleware object at 0x73b614ce56a0>
  File "/opt/reme/.venv/lib/python3.12/site-packages/starlette/middleware/cors.py", line 88, in __call__
    await self.app(scope, receive, send)
          │    │   │      │        └ <function ServerErrorMiddleware.__call__.<locals>._send at 0x73b6148ef740>
          │    │   │      └ <bound method RequestResponseCycle.receive of <uvicorn.protocols.http.httptools_impl.RequestResponseCycle object at 0x73b614c...
          │    │   └ {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.3'}, 'http_version': '1.1', 'server': ('172.18.0.2', 28202), '...
          │    └ <starlette.middleware.exceptions.ExceptionMiddleware object at 0x73b614e1e270>
          └ <starlette.middleware.cors.CORSMiddleware object at 0x73b614ce5640>
  File "/opt/reme/.venv/lib/python3.12/site-packages/starlette/middleware/exceptions.py", line 63, in __call__
    await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
          │                            │    │    │     │      │        └ <function ServerErrorMiddleware.__call__.<locals>._send at 0x73b6148ef740>
          │                            │    │    │     │      └ <bound method RequestResponseCycle.receive of <uvicorn.protocols.http.httptools_impl.RequestResponseCycle object at 0x73b614c...
          │                            │    │    │     └ {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.3'}, 'http_version': '1.1', 'server': ('172.18.0.2', 28202), '...
          │                            │    │    └ <starlette.requests.Request object at 0x73b614ce6120>
          │                            │    └ <fastapi.middleware.asyncexitstack.AsyncExitStackMiddleware object at 0x73b614e1d0a0>
          │                            └ <starlette.middleware.exceptions.ExceptionMiddleware object at 0x73b614e1e270>
          └ <function wrap_app_handling_exceptions at 0x73b628876c00>
  File "/opt/reme/.venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 42, in wrapped_app
    await app(scope, receive, sender)
          │   │      │        └ <function wrap_app_handling_exceptions.<locals>.wrapped_app.<locals>.sender at 0x73b6148ef880>
          │   │      └ <bound method RequestResponseCycle.receive of <uvicorn.protocols.http.httptools_impl.RequestResponseCycle object at 0x73b614c...
          │   └ {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.3'}, 'http_version': '1.1', 'server': ('172.18.0.2', 28202), '...
          └ <fastapi.middleware.asyncexitstack.AsyncExitStackMiddleware object at 0x73b614e1d0a0>
  File "/opt/reme/.venv/lib/python3.12/site-packages/fastapi/middleware/asyncexitstack.py", line 18, in __call__
    await self.app(scope, receive, send)
          │    │   │      │        └ <function wrap_app_handling_exceptions.<locals>.wrapped_app.<locals>.sender at 0x73b6148ef880>
          │    │   │      └ <bound method RequestResponseCycle.receive of <uvicorn.protocols.http.httptools_impl.RequestResponseCycle object at 0x73b614c...
          │    │   └ {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.3'}, 'http_version': '1.1', 'server': ('172.18.0.2', 28202), '...
          │    └ <fastapi.routing.APIRouter object at 0x73b61517e090>
          └ <fastapi.middleware.asyncexitstack.AsyncExitStackMiddleware object at 0x73b614e1d0a0>
  File "/opt/reme/.venv/lib/python3.12/site-packages/starlette/routing.py", line 660, in __call__
    await self.middleware_stack(scope, receive, send)
          │    │                │      │        └ <function wrap_app_handling_exceptions.<locals>.wrapped_app.<locals>.sender at 0x73b6148ef880>
          │    │                │      └ <bound method RequestResponseCycle.receive of <uvicorn.protocols.http.httptools_impl.RequestResponseCycle object at 0x73b614c...
          │    │                └ {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.3'}, 'http_version': '1.1', 'server': ('172.18.0.2', 28202), '...
          │    └ <bound method Router.app of <fastapi.routing.APIRouter object at 0x73b61517e090>>
          └ <fastapi.routing.APIRouter object at 0x73b61517e090>
  File "/opt/reme/.venv/lib/python3.12/site-packages/starlette/routing.py", line 680, in app
    await route.handle(scope, receive, send)
          │     │      │      │        └ <function wrap_app_handling_exceptions.<locals>.wrapped_app.<locals>.sender at 0x73b6148ef880>
          │     │      │      └ <bound method RequestResponseCycle.receive of <uvicorn.protocols.http.httptools_impl.RequestResponseCycle object at 0x73b614c...
          │     │      └ {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.3'}, 'http_version': '1.1', 'server': ('172.18.0.2', 28202), '...
          │     └ <function Route.handle at 0x73b6288991c0>
          └ APIRoute(path='/summary_personal_memory', name='execute_endpoint', methods=['POST'])
  File "/opt/reme/.venv/lib/python3.12/site-packages/starlette/routing.py", line 276, in handle
    await self.app(scope, receive, send)
          │    │   │      │        └ <function wrap_app_handling_exceptions.<locals>.wrapped_app.<locals>.sender at 0x73b6148ef880>
          │    │   │      └ <bound method RequestResponseCycle.receive of <uvicorn.protocols.http.httptools_impl.RequestResponseCycle object at 0x73b614c...
          │    │   └ {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.3'}, 'http_version': '1.1', 'server': ('172.18.0.2', 28202), '...
          │    └ <function request_response.<locals>.app at 0x73b614d40ae0>
          └ APIRoute(path='/summary_personal_memory', name='execute_endpoint', methods=['POST'])
  File "/opt/reme/.venv/lib/python3.12/site-packages/fastapi/routing.py", line 134, in app
    await wrap_app_handling_exceptions(app, request)(scope, receive, send)
          │                            │    │        │      │        └ <function wrap_app_handling_exceptions.<locals>.wrapped_app.<locals>.sender at 0x73b6148ef880>
          │                            │    │        │      └ <bound method RequestResponseCycle.receive of <uvicorn.protocols.http.httptools_impl.RequestResponseCycle object at 0x73b614c...
          │                            │    │        └ {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.3'}, 'http_version': '1.1', 'server': ('172.18.0.2', 28202), '...
          │                            │    └ <starlette.requests.Request object at 0x73b614ce5c70>
          │                            └ <function request_response.<locals>.app.<locals>.app at 0x73b6148ef920>
          └ <function wrap_app_handling_exceptions at 0x73b628876c00>
  File "/opt/reme/.venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 42, in wrapped_app
    await app(scope, receive, sender)
          │   │      │        └ <function wrap_app_handling_exceptions.<locals>.wrapped_app.<locals>.sender at 0x73b6148efa60>
          │   │      └ <bound method RequestResponseCycle.receive of <uvicorn.protocols.http.httptools_impl.RequestResponseCycle object at 0x73b614c...
          │   └ {'type': 'http', 'asgi': {'version': '3.0', 'spec_version': '2.3'}, 'http_version': '1.1', 'server': ('172.18.0.2', 28202), '...
          └ <function request_response.<locals>.app.<locals>.app at 0x73b6148ef920>
  File "/opt/reme/.venv/lib/python3.12/site-packages/fastapi/routing.py", line 120, in app
    response = await f(request)
                     │ └ <starlette.requests.Request object at 0x73b614ce5c70>
                     └ <function get_request_handler.<locals>.app at 0x73b614d17d80>
  File "/opt/reme/.venv/lib/python3.12/site-packages/fastapi/routing.py", line 674, in app
    raw_response = await run_endpoint_function(
                         └ <function run_endpoint_function at 0x73b6162a8360>
  File "/opt/reme/.venv/lib/python3.12/site-packages/fastapi/routing.py", line 328, in run_endpoint_function
    return await dependant.call(**values)
                 │         │      └ {'request': SummaryPersonalMemoryModel(query='', messages=[], workspace_id='example_user_id', metadata={}, trajectories=[{'me...
                 │         └ <function HttpService.integrate_tool_flow.<locals>.execute_endpoint at 0x73b614e02e80>
                 └ Dependant(path_params=[], query_params=[], header_params=[], cookie_params=[], body_params=[ModelField(field_info=Body(Pydant...
  File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/service/http_service.py", line 61, in execute_endpoint
    return await flow.async_call(**request.model_dump(exclude_none=True))
                 │    │            │       └ <function BaseModel.model_dump at 0x73b629562480>
                 │    │            └ SummaryPersonalMemoryModel(query='', messages=[], workspace_id='example_user_id', metadata={}, trajectories=[{'messages': [{'...
                 │    └ <function BaseFlow.async_call at 0x73b6164e3e20>
                 └ <flowllm.core.flow.expression_tool_flow.ExpressionToolFlow object at 0x73b614e041d0>
  File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/flow/base_flow.py", line 255, in async_call
    result = await self._async_call(context=context)
                   │    │                   └ FlowContext({'query': '', 'messages': [PersonalMemory(workspace_id='example_user_id', memory_id='56dc81c4a3a945fb9aaf8cc671bf...
                   │    └ <function BaseFlow._async_call at 0x73b6164e3d80>
                   └ <flowllm.core.flow.expression_tool_flow.ExpressionToolFlow object at 0x73b614e041d0>
  File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/flow/base_flow.py", line 225, in _async_call
    await flow_op.async_call(context=context)
          │       │                  └ FlowContext({'query': '', 'messages': [PersonalMemory(workspace_id='example_user_id', memory_id='56dc81c4a3a945fb9aaf8cc671bf...
          │       └ <function BaseAsyncOp.async_call at 0x73b6164e22a0>
          └ <flowllm.core.op.sequential_op.SequentialOp object at 0x73b611bb3200>
  File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/op/base_async_op.py", line 185, in async_call
    result = await self.async_execute()
                   │    └ <function SequentialOp.async_execute at 0x73b6164e37e0>
                   └ <flowllm.core.op.sequential_op.SequentialOp object at 0x73b611bb3200>
  File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/op/sequential_op.py", line 51, in async_execute
    result = await op.async_call(context=self.context)
                   │  │                  │    └ FlowContext({'query': '', 'messages': [PersonalMemory(workspace_id='example_user_id', memory_id='56dc81c4a3a945fb9aaf8cc671bf...
                   │  │                  └ <flowllm.core.op.sequential_op.SequentialOp object at 0x73b611bb3200>
                   │  └ <function BaseAsyncOp.async_call at 0x73b6164e22a0>
                   └ <reme_ai.vector_store.update_vector_store_op.UpdateVectorStoreOp object at 0x73b614ce7170>
> File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/op/base_async_op.py", line 185, in async_call
    result = await self.async_execute()
                   │    └ <function UpdateVectorStoreOp.async_execute at 0x73b61504c9a0>
                   └ <reme_ai.vector_store.update_vector_store_op.UpdateVectorStoreOp object at 0x73b614ce7170>

  File "[32m/opt/reme/reme_ai/vector_store/[0m[32m[1mupdate_vector_store_op.py[0m", line [33m54[0m, in [35masync_execute[0m
    [35m[1mawait[0m [1mself[0m[35m[1m.[0m[1mvector_store[0m[35m[1m.[0m[1masync_insert[0m[1m([0m[1mnodes[0m[35m[1m=[0m[1minsert_nodes[0m[1m,[0m [1mworkspace_id[0m[35m[1m=[0m[1mworkspace_id[0m[1m)[0m
    [36m      │    │                               │                          └ [0m[36m[1m'example_user_id'[0m
    [36m      │    │                               └ [0m[36m[1m[VectorNode(unique_id='49dc2f8253d34deaa2e57c185cc62ac2', workspace_id='example_user_id', content='Xiao Bai, 29, apples, Hami...[0m
    [36m      │    └ [0m[36m[1m<property object at 0x73b6164dc900>[0m
    [36m      └ [0m[36m[1m<reme_ai.vector_store.update_vector_store_op.UpdateVectorStoreOp object at 0x73b614ce7170>[0m

  File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/vector_store/local_vector_store.py", line 546, in async_insert
    await super().async_insert(nodes, workspace_id, **kwargs)
                               │      │               └ {}
                               │      └ 'example_user_id'
                               └ [VectorNode(unique_id='49dc2f8253d34deaa2e57c185cc62ac2', workspace_id='example_user_id', content='Xiao Bai, 29, apples, Hami...
  File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/vector_store/memory_vector_store.py", line 755, in async_insert
    nodes = await self.async_get_node_embeddings(nodes)
                  │    │                         └ [VectorNode(unique_id='49dc2f8253d34deaa2e57c185cc62ac2', workspace_id='example_user_id', content='Xiao Bai, 29, apples, Hami...
                  │    └ <function BaseVectorStore.async_get_node_embeddings at 0x73b616494360>
                  └ <flowllm.core.vector_store.local_vector_store.LocalVectorStore object at 0x73b616cca2a0>
  File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/vector_store/base_vector_store.py", line 91, in async_get_node_embeddings
    return await self.embedding_model.async_get_node_embeddings(nodes)
                 │    │               │                         └ [VectorNode(unique_id='49dc2f8253d34deaa2e57c185cc62ac2', workspace_id='example_user_id', content='Xiao Bai, 29, apples, Hami...
                 │    │               └ <function BaseEmbeddingModel.async_get_node_embeddings at 0x73b627423f60>
                 │    └ <flowllm.core.embedding_model.openai_compatible_embedding_model.OpenAICompatibleEmbeddingModel object at 0x73b6153c5d90>
                 └ <flowllm.core.vector_store.local_vector_store.LocalVectorStore object at 0x73b616cca2a0>
  File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/embedding_model/base_embedding_model.py", line 207, in async_get_node_embeddings
    batch_results = await asyncio.gather(*batch_tasks)
                          │       │       └ [<coroutine object BaseEmbeddingModel.async_get_embeddings at 0x73b614c8ab40>]
                          │       └ <function gather at 0x73b629f5dee0>
                          └ <module 'asyncio' from '/usr/lib/python3.12/asyncio/__init__.py'>
  File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/embedding_model/base_embedding_model.py", line 129, in async_get_embeddings
    raise e
  File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/embedding_model/base_embedding_model.py", line 123, in async_get_embeddings
    return await self._async_get_embeddings(input_text)
                 │    │                     └ ['Xiao Bai, 29, apples, Hami melons']
                 │    └ <function OpenAICompatibleEmbeddingModel._async_get_embeddings at 0x73b626d7c400>
                 └ <flowllm.core.embedding_model.openai_compatible_embedding_model.OpenAICompatibleEmbeddingModel object at 0x73b6153c5d90>
  File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/embedding_model/openai_compatible_embedding_model.py", line 124, in _async_get_embeddings
    completion = await self._async_client.embeddings.create(
                       │    │             │          └ <function AsyncEmbeddings.create at 0x73b611c89440>
                       │    │             └ <openai.resources.embeddings.AsyncEmbeddings object at 0x73b614c7a900>
                       │    └ <openai.AsyncOpenAI object at 0x73b61517d070>
                       └ <flowllm.core.embedding_model.openai_compatible_embedding_model.OpenAICompatibleEmbeddingModel object at 0x73b6153c5d90>
  File "/opt/reme/.venv/lib/python3.12/site-packages/openai/resources/embeddings.py", line 259, in create
    return await self._post(
                 │    └ <bound method AsyncAPIClient.post of <openai.AsyncOpenAI object at 0x73b61517d070>>
                 └ <openai.resources.embeddings.AsyncEmbeddings object at 0x73b614c7a900>
  File "/opt/reme/.venv/lib/python3.12/site-packages/openai/_base_client.py", line 1884, in post
    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
                 │    │       │        │            │                  └ None
                 │    │       │        │            └ False
                 │    │       │        └ FinalRequestOptions(method='post', url='/embeddings', params={}, headers=NOT_GIVEN, max_retries=NOT_GIVEN, timeout=NOT_GIVEN,...
                 │    │       └ <class 'openai.types.create_embedding_response.CreateEmbeddingResponse'>
                 │    └ <function AsyncAPIClient.request at 0x73b626e13e20>
                 └ <openai.AsyncOpenAI object at 0x73b61517d070>
  File "/opt/reme/.venv/lib/python3.12/site-packages/openai/_base_client.py", line 1669, in request
    raise self._make_status_error_from_response(err.response) from None
          │    └ <function BaseClient._make_status_error_from_response at 0x73b626e10fe0>
          └ <openai.AsyncOpenAI object at 0x73b61517d070>

[31m[1mopenai.BadRequestError[0m:[1m Error code: 400 - {'error': {'message': 'Model "bge-m3" does not support matryoshka representation, changing output dimensions will lead to poor results.', 'type': 'BadRequestError', 'param': '', 'code': 400}}[0m
```

Dockerfile 内容如下：
```
FROM ubuntu:24.04

RUN sed -i 's|http://archive.ubuntu.com/ubuntu|http://mirrors.ustc.edu.cn/ubuntu|g' /etc/apt/sources.list.d/ubuntu.sources && \
    sed -i 's|http://security.ubuntu.com/ubuntu|http://mirrors.ustc.edu.cn/ubuntu|g' /etc/apt/sources.list.d/ubuntu.sources

ENV DEBIAN_FRONTEND=noninteractive \
    TZ=Asia/Shanghai

RUN apt-get update && apt-get install -y \
    locales \
    tzdata \
    ca-certificates \
    python3 \
    python3-venv \
    python3-pip \
    && rm -rf /var/lib/apt/lists/*

RUN locale-gen zh_CN.UTF-8 en_US.UTF-8

ENV LANG=zh_CN.UTF-8 \
    LANGUAGE=zh_CN:zh \
    LC_ALL=zh_CN.UTF-8

RUN ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && \
    dpkg-reconfigure -f noninteractive tzdata

WORKDIR /opt

COPY ReMe-0.3.1.8 ./reme

RUN cd reme \
    && python3 -m venv .venv \
    && .venv/bin/pip install --no-cache-dir --upgrade pip \
    && .venv/bin/pip install --no-cache-dir -e ".[light]"

ENV PATH="/opt/reme/.venv/bin:$PATH"

WORKDIR /opt/reme
```

docker-compose.yaml 内容如下：
```yaml
services:
  reme:
    image: reme:0.3.1.8
    container_name: reme
    restart: on-failure:3
    volumes:
      - ./local_vector_store:/opt/reme/local_vector_store
      - ./.env:/opt/reme/.env
    ports:
      - "28202:28202"
    command: [
      "reme",
      "http.port=28202",
      "llm.default.model_name=qwen2.5",
      "embedding_model.default.model_name=bge-m3",
      "vector_store.default.backend=local"
    ]
```

.env 的内容如下，隐私信息已修改，确定 API 地址与 API Key 以及模型名称都是正常可用的：
```
LLM_API_KEY=sk-***
LLM_BASE_URL=http://IP:PORT/v1
EMBEDDING_API_KEY=sk-***
EMBEDDING_BASE_URL=http://IP:PORT/v1
FLOW_EMBEDDING_API_KEY=sk-***
FLOW_EMBEDDING_BASE_URL=http://IP:PORT/v1
FLOW_LLM_API_KEY=sk-***
FLOW_LLM_BASE_URL=http://IP:PORT/v1
```

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通过 HTTP 调用召回与嵌入遇到了异常，不知道该如何解决 #203

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通过 HTTP 调用召回与嵌入遇到了异常，不知道该如何解决 #203

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