执行步骤,vim config文件那步已省略
报错如下

报错如下
[root@kas-job-34864 mindie-service]# export MINDIE_LOG_LEVEL=debug; export MINDIE_LOG_TO_STDOUT=1
[root@kas-job-34864 mindie-service]# ./bin/mindieservice_daemon
[2025-05-08 17:50:19.505+08:00] [1369] [1370] [mindie-server] ===init log===
[2025-05-08 17:50:19.505+08:00] [1369] ===init log===
2025-05-08 17:50:19.526156 1370 LLM log default format: [yyyy-mm-dd hh:mm:ss.uuuuuu][processid] [threadid] [llm] [loglevel][file:line] [error code] msg
[2025-05-08 17:50:19.526175] [1369] [140391139731136] [llm] [INFO] [llm_manager_impl.cpp:70] LLMRuntime init success!
[2025-05-08 17:50:19.526738] [1369] [140391139731136] [llm] [INFO] [model_deploy_config.cpp:130] ModelDeployConfig::pySonamelibpython3.11.so
[2025-05-08 17:50:19.527118] [1369] [140391139731136] [llm] [ERROR] [model_deploy_config.cpp:152] Failed to get vocab size from tokenizer wrapper with exception: ModuleNotFoundError: No module named 'mindie_llm'
LLMInferEngine failed to init LLMInferModels
[2025-05-08 17:50:19.527+08:00] [1369] [kas-job-34864] [system] [server] [start engine(mindieservice_llm_engine)] [fail]
[2025-05-08 17:50:19.527+08:00] [1369] [1370] [mindie-server] [ERROR] [infer_backend_manager.cpp:236] : [MIE04E06011C] [infer_backend_manager] Failed to init engine: mindieservice_llm_engine
[2025-05-08 17:50:19.527+08:00] [1369] [1370] [mindie-server] [ERROR] [endpoint.cpp:53] : [MIE04E02011C] [endpoint] Failed to init engine! Please check in the mindservice.log, pythonlog.log or console output.
[2025-05-08 17:50:19.527+08:00] [1369] [kas-job-34864] [system] [server] [start mindie server] [fail]
[2025-05-08 17:50:19.529+08:00] [1369] [kas-job-34864] [system] [server] [start endpoint] [fail]
[2025-05-08 17:50:19.529+08:00] [1369] [kas-job-34864] [system] [server] [start mindie server] [fail]
ERR: Failed to init endpoint! Please check the service log or console output.
[2025-05-08 17:50:19.529+08:00] [1369] [1370] [mindie-server] [INFO] [llm_daemon.cpp:142] : [daemon] ERR: Failed to init endpoint! Please check the service log or console output.
Killed
执行步骤,vim config文件那步已省略
报错如下
报错如下
[root@kas-job-34864 mindie-service]# export MINDIE_LOG_LEVEL=debug; export MINDIE_LOG_TO_STDOUT=1
[root@kas-job-34864 mindie-service]# ./bin/mindieservice_daemon
[2025-05-08 17:50:19.505+08:00] [1369] [1370] [mindie-server] ===init log===
[2025-05-08 17:50:19.505+08:00] [1369] ===init log===
2025-05-08 17:50:19.526156 1370 LLM log default format: [yyyy-mm-dd hh:mm:ss.uuuuuu][processid] [threadid] [llm] [loglevel][file:line] [error code] msg
[2025-05-08 17:50:19.526175] [1369] [140391139731136] [llm] [INFO] [llm_manager_impl.cpp:70] LLMRuntime init success!
[2025-05-08 17:50:19.526738] [1369] [140391139731136] [llm] [INFO] [model_deploy_config.cpp:130] ModelDeployConfig::pySonamelibpython3.11.so
[2025-05-08 17:50:19.527118] [1369] [140391139731136] [llm] [ERROR] [model_deploy_config.cpp:152] Failed to get vocab size from tokenizer wrapper with exception: ModuleNotFoundError: No module named 'mindie_llm'
LLMInferEngine failed to init LLMInferModels
[2025-05-08 17:50:19.527+08:00] [1369] [kas-job-34864] [system] [server] [start engine(mindieservice_llm_engine)] [fail]
[2025-05-08 17:50:19.527+08:00] [1369] [1370] [mindie-server] [ERROR] [infer_backend_manager.cpp:236] : [MIE04E06011C] [infer_backend_manager] Failed to init engine: mindieservice_llm_engine
[2025-05-08 17:50:19.527+08:00] [1369] [1370] [mindie-server] [ERROR] [endpoint.cpp:53] : [MIE04E02011C] [endpoint] Failed to init engine! Please check in the mindservice.log, pythonlog.log or console output.
[2025-05-08 17:50:19.527+08:00] [1369] [kas-job-34864] [system] [server] [start mindie server] [fail]
[2025-05-08 17:50:19.529+08:00] [1369] [kas-job-34864] [system] [server] [start endpoint] [fail]
[2025-05-08 17:50:19.529+08:00] [1369] [kas-job-34864] [system] [server] [start mindie server] [fail]
ERR: Failed to init endpoint! Please check the service log or console output.
[2025-05-08 17:50:19.529+08:00] [1369] [1370] [mindie-server] [INFO] [llm_daemon.cpp:142] : [daemon] ERR: Failed to init endpoint! Please check the service log or console output.
Killed