From c47e9efdece41810fb4a42bbd6cbe5550d5cf419 Mon Sep 17 00:00:00 2001 From: 8ga Date: Thu, 30 Jul 2026 14:28:00 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=A0=E9=99=A4=20deploy=5Freme=5Fissue.md?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- deploy_reme_issue.md | 699 ------------------------------------------- 1 file changed, 699 deletions(-) delete mode 100644 deploy_reme_issue.md diff --git a/deploy_reme_issue.md b/deploy_reme_issue.md deleted file mode 100644 index 670da46..0000000 --- a/deploy_reme_issue.md +++ /dev/null @@ -1,699 +0,0 @@ -# ReMe 容器化部署踩坑记录 - -- Github：https://github.com/agentscope-ai/ReMe -- Release：https://github.com/agentscope-ai/ReMe/releases -- 使用的版本：https://github.com/agentscope-ai/ReMe/releases/tag/v0.3.1.8 -- 快速上手：https://github.com/agentscope-ai/ReMe/blob/v0.3.1.8/docs/quick_start.md - -## Dockerfile - -``` -FROM ubuntu:24.04 - -# 1. 更换为中科大 (USTC) 源 -# Ubuntu 24.04 使用 DEB822 格式，配置文件在 /etc/apt/sources.list.d/ubuntu.sources -# 我们需要将 URIs 字段中的默认地址替换为中科大镜像地址 -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 - -# 2. 安装基础依赖 -RUN apt-get update && apt-get install -y \ - locales \ - tzdata \ - ca-certificates \ - python3 \ - python3-venv \ - python3-pip \ - && rm -rf /var/lib/apt/lists/* - -# 3. 设置语言环境 -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 - -# 4. 设置时区 -RUN ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && \ - dpkg-reconfigure -f noninteractive tzdata - -WORKDIR /opt - -# 5. 复制项目文件 -COPY ReMe-0.3.1.8 ./reme - -# 6. 创建虚拟环境并安装依赖 -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]" - -# 7. 设置环境变量 -ENV PATH="/opt/reme/.venv/bin:$PATH" - -WORKDIR /opt/reme -``` - -## docker-compose.yaml - -```yaml -services: - reme: - image: reme:0.3.1.8 - container_name: reme - restart: on-failure:3 - volumes: - - ./local_vector_store:/opt/reme/local_vector_store - - ./.env:/opt/reme/.env - ports: - - "28202:28202" - command: [ - "reme", - "http.port=28202", - "llm.default.model_name=qwen2.5", - "embedding_model.default.model_name=bge-m3", - "vector_store.default.backend=local" - ] -``` - -## .env 文件的内容 - -``` -LLM_API_KEY=sk-*** -LLM_BASE_URL=http://IP:PORT/v1 -EMBEDDING_API_KEY=sk-*** -EMBEDDING_BASE_URL=http://IP:PORT/v1 -``` - -## 通过 agentscope-java 构建的 demo - -```java -package ai.agentscope.example.memory; - -import ai.agentscope.example.conf.LlmConfig; -import cn.hutool.core.date.DatePattern; -import cn.hutool.core.util.StrUtil; -import io.agentscope.core.ReActAgent; -import io.agentscope.core.memory.LongTermMemoryMode; -import io.agentscope.core.memory.reme.ReMeLongTermMemory; -import io.agentscope.core.message.Msg; -import io.agentscope.core.message.MsgRole; -import lombok.RequiredArgsConstructor; -import org.springframework.beans.factory.annotation.Value; -import org.springframework.boot.CommandLineRunner; -import org.springframework.boot.autoconfigure.condition.ConditionalOnBooleanProperty; -import org.springframework.stereotype.Component; - -import java.time.LocalDateTime; -import java.util.Optional; -import java.util.Scanner; - -@Component -@ConditionalOnBooleanProperty(value = "ENABLE_RE_ME_TEST") -@RequiredArgsConstructor -public class ReMeMemoryCmdRunner implements CommandLineRunner { - - private final LlmConfig llmConfig; - - @Value("${RE_ME_BASE_URL}") - private String longTermMemoryBaseUrl; - - @Override - public void run(String... args) throws Exception { - System.out.println("-".repeat(40)); - System.out.printf("Start %s%n", this.getClass().getSimpleName()); - System.out.println("-".repeat(40)); - - Scanner scanner = new Scanner(System.in); - for (; ; ) { - System.out.print(">>>You："); - String input = scanner.nextLine(); - if (StrUtil.isBlank(input)) { - continue; - } - if ("q".equals(input) || "exit".equals(input)) { - break; - } - Msg assistantMsg = this.agent().call(this.readUserMsg(input)).block(); - System.out.printf(""" - >>>LLM： - %s - %n""", Optional.ofNullable(assistantMsg).map(Msg::getTextContent).orElse("没有获取到任何输出")); - } - } - - private Msg readUserMsg(String input) { - return Msg.builder() - .timestamp(LocalDateTime.now().format(DatePattern.PURE_DATETIME_MS_FORMATTER)) - .role(MsgRole.USER) - .textContent(input) - .build(); - } - - private ReActAgent agent() { - return ReActAgent.builder() - .name("ReMeMemoryAgent") - .model(llmConfig.model()) - .longTermMemory(this.longTermMemory()) - .longTermMemoryMode(LongTermMemoryMode.STATIC_CONTROL) - .build(); - } - - private ReMeLongTermMemory longTermMemory() { - return ReMeLongTermMemory.builder() - .userId("example_user_id") - .apiBaseUrl(this.longTermMemoryBaseUrl) - .build(); - } - -} -``` - -## 坑点1、因环境变量错误导致 API 调用失败（已解决） - -``` -2026-04-07 15:56:51 | ERROR | base_embedding_model.py:126 | embedding model name=bge-negative-train encounter error with e=('Connection error.',) -Traceback (most recent call last): - - File "/opt/reme/.venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 101, in map_httpcore_exceptions - yield - File "/opt/reme/.venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 394, in handle_async_request - resp = await self._pool.handle_async_request(req) - │ │ │ └ - │ │ └ - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/httpcore/_async/connection_pool.py", line 207, in handle_async_request - raise UnsupportedProtocol( - └ - -httpcore.UnsupportedProtocol: Request URL is missing an 'http://' or 'https://' protocol. - - -The above exception was the direct cause of the following exception: - - -Traceback (most recent call last): - - File "/opt/reme/.venv/lib/python3.12/site-packages/openai/_base_client.py", line 1604, in request - response = await self._client.send( - │ │ └ - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/httpx/_client.py", line 1629, in send - response = await self._send_handling_auth( - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/httpx/_client.py", line 1657, in _send_handling_auth - response = await self._send_handling_redirects( - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/httpx/_client.py", line 1694, in _send_handling_redirects - response = await self._send_single_request(request) - │ │ └ - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/httpx/_client.py", line 1730, in _send_single_request - response = await transport.handle_async_request(request) - │ │ └ - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 393, in handle_async_request - with map_httpcore_exceptions(): - └ - File "/usr/lib/python3.12/contextlib.py", line 158, in __exit__ - self.gen.throw(value) - │ │ │ └ UnsupportedProtocol("Request URL is missing an 'http://' or 'https://' protocol.") - │ │ └ - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 118, in map_httpcore_exceptions - raise mapped_exc(message) from exc - │ └ "Request URL is missing an 'http://' or 'https://' protocol." - └ - -httpx.UnsupportedProtocol: Request URL is missing an 'http://' or 'https://' protocol. - - -The above exception was the direct cause of the following exception: - - -Traceback (most recent call last): - - File "/opt/reme/.venv/bin/reme", line 6, in - sys.exit(main()) - │ │ └ - │ └ - └ - - File "/opt/reme/reme_ai/main.py", line 231, in main - app.run_service() - │ └  - └  - - File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/application.py", line 384, in run_service - service.run() - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/service/http_service.py", line 123, in run - uvicorn.run( - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/uvicorn/main.py", line 606, in run - server.run() - │ └ - └ - 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()) - │ │ │ │ │ │ └ - │ │ │ │ │ └ - │ │ │ │ └ - │ │ │ └ None - │ │ └ - │ └ - └ - File "/usr/lib/python3.12/asyncio/runners.py", line 194, in run - return runner.run(main) - │ │ └ - │ └ - └ - File "/usr/lib/python3.12/asyncio/runners.py", line 118, in run - return self._loop.run_until_complete(task) - │ │ │ └ - │ └ - └ - 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() - │ └ - └ - - File "/opt/reme/reme_ai/summary/personal/load_today_memory_op.py", line 49, in async_execute - today_memories = await self._retrieve_today_memories(workspace_id, user_name, top_k) -  │ │ │ │ └ 50 -  │ │ │ └ 'user' -  │ │ └ 'example_user_id' -  │ └  -  └  - - File "/opt/reme/reme_ai/summary/personal/load_today_memory_op.py", line 87, in _retrieve_today_memories - nodes: List[VectorNode] = await self.vector_store.async_search( -  │ │ │ └  -  │ │ └  -  │ └  -  └ typing.List - - File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/vector_store/local_vector_store.py", line 512, in async_search - return await super().async_search(query, workspace_id, top_k, filter_dict, **kwargs) - │ │ │ │ └ {} - │ │ │ └ {'memory_type': 'personal', 'target': 'user', 'created_date': '20260407'} - │ │ └ 50 - │ └ 'example_user_id' - └ ' ' - File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/vector_store/memory_vector_store.py", line 673, in async_search - query_vector = await self.async_get_embeddings(query) if use_vector_search else None - │ │ │ └ True - │ │ └ ' ' - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/vector_store/base_vector_store.py", line 123, in async_get_embeddings - return await self.embedding_model.async_get_embeddings(query) - │ │ │ └ ' ' - │ │ └ - │ └ - └ -> 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) - │ │ └ ' ' - │ └ - └ - 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( - │ │ │ └ - │ │ └ - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/openai/resources/embeddings.py", line 259, in create - return await self._post( - │ └ > - └ - 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,... - │ │ └ - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/openai/_base_client.py", line 1636, in request - raise APIConnectionError(request=request) from err - │ └ - └ - -openai.APIConnectionError: Connection error. -2026-04-07 15:56:51 | ERROR | load_today_memory_op.py:103 | Error retrieving today's memories: Connection error. -``` - -FlowLLM 的 openai_compatible_embedding_model.py 脚本中使用的环境变量是写死的 - -```python -self.api_key = api_key or os.getenv("FLOW_EMBEDDING_API_KEY", "") -self.base_url = base_url or os.getenv("FLOW_EMBEDDING_BASE_URL", "") -``` - -在 .env 文件添加上正确的环境变量即可 - -``` -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 -``` - -## 坑点2、不知道问题源头（未解决） - -``` -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}}',) -Traceback (most recent call last): - - File "/opt/reme/.venv/bin/reme", line 6, in - sys.exit(main()) - │ │ └ - │ └ - └ - - File "/opt/reme/reme_ai/main.py", line 231, in main - app.run_service() - │ └  - └  - - File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/application.py", line 384, in run_service - service.run() - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/service/http_service.py", line 123, in run - uvicorn.run( - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/uvicorn/main.py", line 606, in run - server.run() - │ └ - └ - 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()) - │ │ │ │ │ │ └ - │ │ │ │ │ └ - │ │ │ │ └ - │ │ │ └ None - │ │ └ - │ └ - └ - File "/usr/lib/python3.12/asyncio/runners.py", line 194, in run - return runner.run(main) - │ │ └ - │ └ - └ - File "/usr/lib/python3.12/asyncio/runners.py", line 118, in run - return self._loop.run_until_complete(task) - │ │ │ └ - │ └ - └ -> 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'] - │ └ - └ - 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( - │ │ │ └ - │ │ └ - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/openai/resources/embeddings.py", line 259, in create - return await self._post( - │ └ > - └ - 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,... - │ │ └ - │ └ - └ - 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 - │ └ - └ - -openai.BadRequestError: 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}} -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}}',) -Traceback (most recent call last): - - File "/opt/reme/.venv/bin/reme", line 6, in - sys.exit(main()) - │ │ └ - │ └ - └ - - File "/opt/reme/reme_ai/main.py", line 231, in main - app.run_service() - │ └  - └  - - File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/application.py", line 384, in run_service - service.run() - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/flowllm/core/service/http_service.py", line 123, in run - uvicorn.run( - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/uvicorn/main.py", line 606, in run - server.run() - │ └ - └ - 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()) - │ │ │ │ │ │ └ - │ │ │ │ │ └ - │ │ │ │ └ - │ │ │ └ None - │ │ └ - │ └ - └ - File "/usr/lib/python3.12/asyncio/runners.py", line 194, in run - return runner.run(main) - │ │ └ - │ └ - └ - File "/usr/lib/python3.12/asyncio/runners.py", line 118, in run - return self._loop.run_until_complete(task) - │ │ │ └ - │ └ - └ - 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] - └ - 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) - │ │ │ │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/fastapi/applications.py", line 1163, in __call__ - await super().__call__(scope, receive, send) - │ │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/starlette/middleware/errors.py", line 164, in __call__ - await self.app(scope, receive, _send) - │ │ │ │ └ ._send at 0x73b6148ef740> - │ │ │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/starlette/middleware/cors.py", line 88, in __call__ - await self.app(scope, receive, send) - │ │ │ │ └ ._send at 0x73b6148ef740> - │ │ │ └ - └ - 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) - │ │ │ │ │ │ └ ._send at 0x73b6148ef740> - │ │ │ │ │ └ - │ │ └ - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 42, in wrapped_app - await app(scope, receive, sender) - │ │ │ └ .wrapped_app..sender at 0x73b6148ef880> - │ │ └ - File "/opt/reme/.venv/lib/python3.12/site-packages/fastapi/middleware/asyncexitstack.py", line 18, in __call__ - await self.app(scope, receive, send) - │ │ │ │ └ .wrapped_app..sender at 0x73b6148ef880> - │ │ │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/starlette/routing.py", line 660, in __call__ - await self.middleware_stack(scope, receive, send) - │ │ │ │ └ .wrapped_app..sender at 0x73b6148ef880> - │ │ │ └ > - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/starlette/routing.py", line 680, in app - await route.handle(scope, receive, send) - │ │ │ │ └ .wrapped_app..sender at 0x73b6148ef880> - │ │ │ └ - └ 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) - │ │ │ │ └ .wrapped_app..sender at 0x73b6148ef880> - │ │ │ └ .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) - │ │ │ │ │ └ .wrapped_app..sender at 0x73b6148ef880> - │ │ │ │ └ - │ └ .app..app at 0x73b6148ef920> - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 42, in wrapped_app - await app(scope, receive, sender) - │ │ │ └ .wrapped_app..sender at 0x73b6148efa60> - │ │ └ .app..app at 0x73b6148ef920> - File "/opt/reme/.venv/lib/python3.12/site-packages/fastapi/routing.py", line 120, in app - response = await f(request) - │ └ - └ .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( - └ - 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... - │ └ .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)) - │ │ │ └ - │ │ └ SummaryPersonalMemoryModel(query='', messages=[], workspace_id='example_user_id', metadata={}, trajectories=[{'messages': [{'... - │ └ - └ - 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... - │ └ - └ - 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... - │ └ - └ - 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() - │ └ - └ - 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... - │ │ └ - │ └ - └ -> 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() - │ └ - └ - - File "/opt/reme/reme_ai/vector_store/update_vector_store_op.py", line 54, in async_execute - await self.vector_store.async_insert(nodes=insert_nodes, workspace_id=workspace_id) -  │ │ │ └ '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/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... - │ └ - └ - 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... - │ │ └ - │ └ - └ - 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) - │ │ └ [] - │ └ - └ - 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'] - │ └ - └ - 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( - │ │ │ └ - │ │ └ - │ └ - └ - File "/opt/reme/.venv/lib/python3.12/site-packages/openai/resources/embeddings.py", line 259, in create - return await self._post( - │ └ > - └ - 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,... - │ │ └ - │ └ - └ - 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 - │ └ - └ - -openai.BadRequestError: 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}} -``` \ No newline at end of file