更新 deploy_reme_issue.md

deploy_reme_issue.md

@@ -172,7 +172,7 @@ public class ReMeMemoryCmdRunner implements CommandLineRunner {
 }
 ```
 
-## 对话时观测到 reme 容器抛出异常堆栈，核心异常堆栈信息如下
+## 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.',)
@@ -357,13 +357,14 @@ public class ReMeMemoryCmdRunner implements CommandLineRunner {
 2026-04-07 15:56:51 | ERROR | load_today_memory_op.py:103 | Error retrieving today's memories: Connection error.
 ```
 
-** 问题源头 **：FlowLLM 的 openai_compatible_embedding_model.py 脚本中使用的环境变量是写死的
+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", "")
 ```
 
-** 修复方案 **：在 .env 文件添加正确的环境变量
+在 .env 文件添加上正确的环境变量即可
 
 ```
 LLM_API_KEY=sk-***
@@ -376,7 +377,7 @@ FLOW_LLM_API_KEY=sk-***
 FLOW_LLM_BASE_URL=http://IP:PORT/v1
 ```
 
-## 再次发起调用出现以下异常堆栈
+## 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}}',)
@@ -695,6 +696,4 @@ FLOW_LLM_BASE_URL=http://IP:PORT/v1
           └ <openai.AsyncOpenAI object at 0x73b61517d070>
 
 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}}
-```
-
-没招了，不知道咋改
+```