Dift添加模型报错 #12266

New Issue

2026-02-21T19:06:39-05:00

yindo commented

2026-02-21 19:06:39 -05:00

Originally created by @yuan-0708 on GitHub (Mar 27, 2025).

Self Checks

This is only for bug report, if you would like to ask a question, please head to Discussions.
I have searched for existing issues search for existing issues, including closed ones.
I confirm that I am using English to submit this report (我已阅读并同意 Language Policy).
[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:)
Please do not modify this template :) and fill in all the required fields.

Dify version

1.0.1

Cloud or Self Hosted

Self Hosted (Docker)

Steps to reproduce

WARNING [Dummy-1] [provider_configuration.py:989] - get custom model schema failed, PluginDaemonInternalServerError: killed by timeout
2025-03-28 03:11:38.163 WARNING [Dummy-2] [provider_configuration.py:989] - get custom model schema failed, PluginDaemonInternalServerError: killed by timeout
2025-03-28 03:14:37.176 ERROR [Dummy-3] [app.py:875] - Exception on /console/api/workspaces/current/model-providers/langgenius/ollama/ollama/models [POST]
Traceback (most recent call last):
File "/app/api/.venv/lib/python3.12/site-packages/flask/app.py", line 917, in full_dispatch_request
rv = self.dispatch_request()
^^^^^^^^^^^^^^^^^^^^^^^
File "/app/api/.venv/lib/python3.12/site-packages/flask/app.py", line 902, in dispatch_request
return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args) # type: ignore[no-any-return]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/api/.venv/lib/python3.12/site-packages/flask_restful/__init__.py", line 489, in wrapper
resp = resource(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/api/.venv/lib/python3.12/site-packages/flask/views.py", line 110, in view
return current_app.ensure_sync(self.dispatch_request)(**kwargs) # type: ignore[no-any-return]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/api/.venv/lib/python3.12/site-packages/flask_restful/__init__.py", line 604, in dispatch_request
resp = meth(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/app/api/controllers/console/wraps.py", line 187, in decorated
return view(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/app/api/libs/login.py", line 94, in decorated_view
return current_app.ensure_sync(func)(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/api/controllers/console/wraps.py", line 30, in decorated
return view(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/app/api/controllers/console/workspace/models.py", line 154, in post
model_provider_service.save_model_credentials(
File "/app/api/services/model_provider_service.py", line 237, in save_model_credentials
provider_configuration.add_or_update_custom_model_credentials(
File "/app/api/core/entities/provider_configuration.py", line 422, in add_or_update_custom_model_credentials
provider_model_record, credentials = self.custom_model_credentials_validate(model_type, model, credentials)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/api/core/entities/provider_configuration.py", line 402, in custom_model_credentials_validate
credentials = model_provider_factory.model_credentials_validate(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/api/core/model_runtime/model_providers/model_provider_factory.py", line 191, in model_credentials_validate
self.plugin_model_manager.validate_model_credentials(
File "/app/api/core/plugin/manager/model.py", line 137, in validate_model_credentials
for resp in response:
^^^^^^^^
File "/app/api/core/plugin/manager/base.py", line 189, in _request_with_plugin_daemon_response_stream
self._handle_plugin_daemon_error(error.error_type, error.message)
File "/app/api/core/plugin/manager/base.py", line 223, in _handle_plugin_daemon_error
raise PluginDaemonInternalServerError(description=message)
core.plugin.manager.exc.PluginDaemonInternalServerError: PluginDaemonInternalServerError: killed by timeout

✔️ Expected Behavior

No response

❌ Actual Behavior

No response

Originally created by @yuan-0708 on GitHub (Mar 27, 2025). ### Self Checks - [x] This is only for bug report, if you would like to ask a question, please head to [Discussions](https://github.com/langgenius/dify/discussions/categories/general). - [x] I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones. - [x] I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)). - [x] [FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:) - [x] Please do not modify this template :) and fill in all the required fields. ### Dify version 1.0.1 ### Cloud or Self Hosted Self Hosted (Docker) ### Steps to reproduce WARNING [Dummy-1] [provider_configuration.py:989] - get custom model schema failed, PluginDaemonInternalServerError: killed by timeout 2025-03-28 03:11:38.163 WARNING [Dummy-2] [provider_configuration.py:989] - get custom model schema failed, PluginDaemonInternalServerError: killed by timeout 2025-03-28 03:14:37.176 ERROR [Dummy-3] [app.py:875] - Exception on /console/api/workspaces/current/model-providers/langgenius/ollama/ollama/models [POST] Traceback (most recent call last): File "/app/api/.venv/lib/python3.12/site-packages/flask/app.py", line 917, in full_dispatch_request rv = self.dispatch_request() ^^^^^^^^^^^^^^^^^^^^^^^ File "/app/api/.venv/lib/python3.12/site-packages/flask/app.py", line 902, in dispatch_request return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args) # type: ignore[no-any-return] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/app/api/.venv/lib/python3.12/site-packages/flask_restful/__init__.py", line 489, in wrapper resp = resource(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/app/api/.venv/lib/python3.12/site-packages/flask/views.py", line 110, in view return current_app.ensure_sync(self.dispatch_request)(**kwargs) # type: ignore[no-any-return] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/app/api/.venv/lib/python3.12/site-packages/flask_restful/__init__.py", line 604, in dispatch_request resp = meth(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/app/api/controllers/console/wraps.py", line 187, in decorated return view(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/app/api/libs/login.py", line 94, in decorated_view return current_app.ensure_sync(func)(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/app/api/controllers/console/wraps.py", line 30, in decorated return view(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/app/api/controllers/console/workspace/models.py", line 154, in post model_provider_service.save_model_credentials( File "/app/api/services/model_provider_service.py", line 237, in save_model_credentials provider_configuration.add_or_update_custom_model_credentials( File "/app/api/core/entities/provider_configuration.py", line 422, in add_or_update_custom_model_credentials provider_model_record, credentials = self.custom_model_credentials_validate(model_type, model, credentials) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/app/api/core/entities/provider_configuration.py", line 402, in custom_model_credentials_validate credentials = model_provider_factory.model_credentials_validate( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/app/api/core/model_runtime/model_providers/model_provider_factory.py", line 191, in model_credentials_validate self.plugin_model_manager.validate_model_credentials( File "/app/api/core/plugin/manager/model.py", line 137, in validate_model_credentials for resp in response: ^^^^^^^^ File "/app/api/core/plugin/manager/base.py", line 189, in _request_with_plugin_daemon_response_stream self._handle_plugin_daemon_error(error.error_type, error.message) File "/app/api/core/plugin/manager/base.py", line 223, in _handle_plugin_daemon_error raise PluginDaemonInternalServerError(description=message) core.plugin.manager.exc.PluginDaemonInternalServerError: PluginDaemonInternalServerError: killed by timeout ![Image](https://github.com/user-attachments/assets/a4789362-9975-42e7-a114-efc1dbd94925) ### ✔️ Expected Behavior _No response_ ### ❌ Actual Behavior _No response_

yindo added the 🐞 bug label 2026-02-21 19:06:39 -05:00

yindo closed this issue

2026-02-21 19:06:39 -05:00

yindo commented

2026-02-21 19:06:39 -05:00

@dosubot[bot] commented on GitHub (Mar 27, 2025):

@yuan-0708 Hello! I'm here to help you with any bugs, questions, or contributions you have for Dify. I'll assist you while we wait for a human maintainer.

To resolve the "PluginDaemonInternalServerError: killed by timeout" error when adding a model in the Ollama software application using Dify version 1.0.1 on a self-hosted Docker setup, you can follow these steps:

Ensure LLM Configuration: Make sure that a Language Learning Model (LLM) is properly configured in your Dify installation. This is necessary for operations that require model schema information.

Update Environment Variables: Configure the following environment variables in your .env file:

PROVIDER_OLLAMA_API_BASE_URL=http://host.docker.internal:11434/
PLUGIN_WORKING_PATH=/app/cwd

Modify Docker Compose: Update your docker-compose.yaml file for the plugin_daemon service to increase the execution timeout. Add or update the following environment variables:
```
plugin_daemon:
  environment:
    PLUGIN_MAX_EXECUTION_TIMEOUT: 2400
    PYTHON_ENV_INIT_TIMEOUT: 640
```
Restart Docker Containers: After making these changes, restart your Docker containers to apply the new settings:
```
docker compose down
docker compose up -d
```

These steps should help accommodate longer model validation and credential saving processes, reducing the likelihood of timeout errors ^[1]^[2]^[3]^[4]^[5].

To continue talking to Dosu, mention @dosu.

^{Help Dosu learn! Give it feedback: Great Response | Irrelevant Answer | Incorrect Sources | Too Verbose | Hallucination | Bug Report | Other}

@dosubot[bot] commented on GitHub (Mar 27, 2025):  @yuan-0708 Hello! I'm here to help you with any bugs, questions, or contributions you have for Dify. I'll assist you while we wait for a human maintainer.  To resolve the "PluginDaemonInternalServerError: killed by timeout" error when adding a model in the Ollama software application using Dify version 1.0.1 on a self-hosted Docker setup, you can follow these steps: 1. **Ensure LLM Configuration**: Make sure that a Language Learning Model (LLM) is properly configured in your Dify installation. This is necessary for operations that require model schema information. 2. **Update Environment Variables**: Configure the following environment variables in your `.env` file: ```plaintext PROVIDER_OLLAMA_API_BASE_URL=http://host.docker.internal:11434/ PLUGIN_WORKING_PATH=/app/cwd ``` 3. **Modify Docker Compose**: Update your `docker-compose.yaml` file for the `plugin_daemon` service to increase the execution timeout. Add or update the following environment variables: ```yaml plugin_daemon: environment: PLUGIN_MAX_EXECUTION_TIMEOUT: 2400 PYTHON_ENV_INIT_TIMEOUT: 640 ``` 4. **Restart Docker Containers**: After making these changes, restart your Docker containers to apply the new settings: ```bash docker compose down docker compose up -d ``` These steps should help accommodate longer model validation and credential saving processes, reducing the likelihood of timeout errors [[1]](https://github.com/langgenius/dify/issues/15538)[[2]](https://github.com/langgenius/dify/issues/15140)[[3]](https://github.com/langgenius/dify/issues/15082)[[4]](https://github.com/langgenius/dify/issues/14859)[[5]](https://github.com/langgenius/dify/issues/14566).  *To continue talking to [Dosu](https://dosu.dev), mention @dosu.* --- Help Dosu learn! Give it feedback: [Great Response](https://app.dosu.dev/response-feedback/1a90bd7c-6528-455e-a92a-43cc9c801532?feedback_type=great_response) | [Irrelevant Answer](https://app.dosu.dev/response-feedback/1a90bd7c-6528-455e-a92a-43cc9c801532?feedback_type=irrelevant_answer) | [Incorrect Sources](https://app.dosu.dev/response-feedback/1a90bd7c-6528-455e-a92a-43cc9c801532?feedback_type=incorrect_sources) | [Too Verbose](https://app.dosu.dev/response-feedback/1a90bd7c-6528-455e-a92a-43cc9c801532?feedback_type=too_verbose) | [Hallucination](https://app.dosu.dev/response-feedback/1a90bd7c-6528-455e-a92a-43cc9c801532?feedback_type=hallucination) | [Bug Report](https://app.dosu.dev/response-feedback/1a90bd7c-6528-455e-a92a-43cc9c801532?feedback_type=bug_report) | [Other](https://app.dosu.dev/response-feedback/1a90bd7c-6528-455e-a92a-43cc9c801532?feedback_type=other)

yindo commented

2026-02-21 19:06:39 -05:00

@yuan-0708 commented on GitHub (Mar 28, 2025):

Hello! According to your response, a new error occurred after the configuration was successful. Could you please help me take a look；

------------------ 原始邮件 ------------------
发件人: "langgenius/dify" @.>;
发送时间: 2025年3月28日(星期五) 中午11:21
@.>;
@.@.>;
主题: Re: [langgenius/dify] Dift添加模型报错 (Issue #16999)

@yuan-0708 Hello! I'm here to help you with any bugs, questions, or contributions you have for Dify. I'll assist you while we wait for a human maintainer.

To resolve the "PluginDaemonInternalServerError: killed by timeout" error when adding a model in the Ollama software application using Dify version 1.0.1 on a self-hosted Docker setup, you can follow these steps:

Ensure LLM Configuration: Make sure that a Language Learning Model (LLM) is properly configured in your Dify installation. This is necessary for operations that require model schema information.

Update Environment Variables: Configure the following environment variables in your .env file:
PROVIDER_OLLAMA_API_BASE_URL=http://host.docker.internal:11434/ PLUGIN_WORKING_PATH=/app/cwd

Modify Docker Compose: Update your docker-compose.yaml file for the plugin_daemon service to increase the execution timeout. Add or update the following environment variables:
plugin_daemon: environment: PLUGIN_MAX_EXECUTION_TIMEOUT: 2400 PYTHON_ENV_INIT_TIMEOUT: 640

Restart Docker Containers: After making these changes, restart your Docker containers to apply the new settings:
docker compose down docker compose up -d

These steps should help accommodate longer model validation and credential saving processes, reducing the likelihood of timeout errors [1][2][3][4][5].

To continue talking to Dosu, mention @dosu.

—
Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you were mentioned.Message ID: @.***>
dosubot[bot] left a comment (langgenius/dify#16999)

@yuan-0708 Hello! I'm here to help you with any bugs, questions, or contributions you have for Dify. I'll assist you while we wait for a human maintainer.

To resolve the "PluginDaemonInternalServerError: killed by timeout" error when adding a model in the Ollama software application using Dify version 1.0.1 on a self-hosted Docker setup, you can follow these steps:

Ensure LLM Configuration: Make sure that a Language Learning Model (LLM) is properly configured in your Dify installation. This is necessary for operations that require model schema information.

Update Environment Variables: Configure the following environment variables in your .env file:
PROVIDER_OLLAMA_API_BASE_URL=http://host.docker.internal:11434/ PLUGIN_WORKING_PATH=/app/cwd

Modify Docker Compose: Update your docker-compose.yaml file for the plugin_daemon service to increase the execution timeout. Add or update the following environment variables:
plugin_daemon: environment: PLUGIN_MAX_EXECUTION_TIMEOUT: 2400 PYTHON_ENV_INIT_TIMEOUT: 640

Restart Docker Containers: After making these changes, restart your Docker containers to apply the new settings:
docker compose down docker compose up -d

These steps should help accommodate longer model validation and credential saving processes, reducing the likelihood of timeout errors [1][2][3][4][5].

To continue talking to Dosu, mention @dosu.

—
Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you were mentioned.Message ID: @.***>

@yuan-0708 commented on GitHub (Mar 28, 2025): Hello! According to your response, a new error occurred after the configuration was successful. Could you please help me take a look； ------------------ 原始邮件 ------------------ 发件人: "langgenius/dify" ***@***.***>; 发送时间: 2025年3月28日(星期五) 中午11:21 ***@***.***>; ***@***.******@***.***>; 主题: Re: [langgenius/dify] Dift添加模型报错 (Issue #16999) @yuan-0708 Hello! I'm here to help you with any bugs, questions, or contributions you have for Dify. I'll assist you while we wait for a human maintainer. To resolve the "PluginDaemonInternalServerError: killed by timeout" error when adding a model in the Ollama software application using Dify version 1.0.1 on a self-hosted Docker setup, you can follow these steps: Ensure LLM Configuration: Make sure that a Language Learning Model (LLM) is properly configured in your Dify installation. This is necessary for operations that require model schema information. Update Environment Variables: Configure the following environment variables in your .env file: PROVIDER_OLLAMA_API_BASE_URL=http://host.docker.internal:11434/ PLUGIN_WORKING_PATH=/app/cwd Modify Docker Compose: Update your docker-compose.yaml file for the plugin_daemon service to increase the execution timeout. Add or update the following environment variables: plugin_daemon: environment: PLUGIN_MAX_EXECUTION_TIMEOUT: 2400 PYTHON_ENV_INIT_TIMEOUT: 640 Restart Docker Containers: After making these changes, restart your Docker containers to apply the new settings: docker compose down docker compose up -d These steps should help accommodate longer model validation and credential saving processes, reducing the likelihood of timeout errors [1][2][3][4][5]. To continue talking to Dosu, mention @dosu. Help Dosu learn! Give it feedback: Great Response | Irrelevant Answer | Incorrect Sources | Too Verbose | Hallucination | Bug Report | Other — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: ***@***.***> dosubot[bot] left a comment (langgenius/dify#16999) @yuan-0708 Hello! I'm here to help you with any bugs, questions, or contributions you have for Dify. I'll assist you while we wait for a human maintainer. To resolve the "PluginDaemonInternalServerError: killed by timeout" error when adding a model in the Ollama software application using Dify version 1.0.1 on a self-hosted Docker setup, you can follow these steps: Ensure LLM Configuration: Make sure that a Language Learning Model (LLM) is properly configured in your Dify installation. This is necessary for operations that require model schema information. Update Environment Variables: Configure the following environment variables in your .env file: PROVIDER_OLLAMA_API_BASE_URL=http://host.docker.internal:11434/ PLUGIN_WORKING_PATH=/app/cwd Modify Docker Compose: Update your docker-compose.yaml file for the plugin_daemon service to increase the execution timeout. Add or update the following environment variables: plugin_daemon: environment: PLUGIN_MAX_EXECUTION_TIMEOUT: 2400 PYTHON_ENV_INIT_TIMEOUT: 640 Restart Docker Containers: After making these changes, restart your Docker containers to apply the new settings: docker compose down docker compose up -d These steps should help accommodate longer model validation and credential saving processes, reducing the likelihood of timeout errors [1][2][3][4][5]. To continue talking to Dosu, mention @dosu. Help Dosu learn! Give it feedback: Great Response | Irrelevant Answer | Incorrect Sources | Too Verbose | Hallucination | Bug Report | Other — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: ***@***.***>

yindo commented

2026-02-21 19:06:40 -05:00

@yuan-0708 commented on GitHub (Mar 28, 2025):

Hello! According to your response, a new error occurred after the configuration was successful. Could you please help me take a look；

docker logs -f docker-api-1
Running migrations
2025-03-28 04:25:49.413 INFO [MainThread] [utils.py:149] - Note: NumExpr detected 40 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
2025-03-28 04:25:49.413 INFO [MainThread] [utils.py:162] - NumExpr defaulting to 16 threads.
/app/api/.venv/lib/python3.12/site-packages/opik/evaluation/metrics/heuristics/regex_match.py:8: SyntaxWarning: invalid escape sequence '\d'
"""
Preparing database migration...
Starting database migration.
INFO [alembic.runtime.migration] Context impl PostgresqlImpl.
INFO [alembic.runtime.migration] Will assume transactional DDL.
Database migration successful!
[2025-03-28 04:26:09 +0000] [1] [INFO] Starting gunicorn 23.0.0
[2025-03-28 04:26:09 +0000] [1] [INFO] Listening at: http://0.0.0.0:5001 (1)
[2025-03-28 04:26:09 +0000] [1] [INFO] Using worker: gevent
[2025-03-28 04:26:09 +0000] [69] [INFO] Booting worker with pid: 69
2025-03-28 04:26:13.640 INFO [MainThread] [utils.py:149] - Note: NumExpr detected 40 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
2025-03-28 04:26:13.641 INFO [MainThread] [utils.py:162] - NumExpr defaulting to 16 threads.
2025-03-28 04:26:47.943 ERROR [Dummy-1] [app.py:875] - Exception on /console/api/workspaces/current/model-providers/langgenius/ollama/ollama/models [POST]
Traceback (most recent call last):
File "/app/api/.venv/lib/python3.12/site-packages/flask/app.py", line 917, in full_dispatch_request
rv = self.dispatch_request()
^^^^^^^^^^^^^^^^^^^^^^^
File "/app/api/.venv/lib/python3.12/site-packages/flask/app.py", line 902, in dispatch_request
return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args) # type: ignore[no-any-return]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/api/.venv/lib/python3.12/site-packages/flask_restful/__init__.py", line 489, in wrapper
resp = resource(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/api/.venv/lib/python3.12/site-packages/flask/views.py", line 110, in view
return current_app.ensure_sync(self.dispatch_request)(**kwargs) # type: ignore[no-any-return]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/api/.venv/lib/python3.12/site-packages/flask_restful/__init__.py", line 604, in dispatch_request
resp = meth(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/app/api/controllers/console/wraps.py", line 187, in decorated
return view(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/app/api/libs/login.py", line 94, in decorated_view
return current_app.ensure_sync(func)(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/api/controllers/console/wraps.py", line 30, in decorated
return view(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/app/api/controllers/console/workspace/models.py", line 154, in post
model_provider_service.save_model_credentials(
File "/app/api/services/model_provider_service.py", line 237, in save_model_credentials
provider_configuration.add_or_update_custom_model_credentials(
File "/app/api/core/entities/provider_configuration.py", line 422, in add_or_update_custom_model_credentials
provider_model_record, credentials = self.custom_model_credentials_validate(model_type, model, credentials)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/api/core/entities/provider_configuration.py", line 402, in custom_model_credentials_validate
credentials = model_provider_factory.model_credentials_validate(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/api/core/model_runtime/model_providers/model_provider_factory.py", line 191, in model_credentials_validate
self.plugin_model_manager.validate_model_credentials(
File "/app/api/core/plugin/manager/model.py", line 137, in validate_model_credentials
for resp in response:
^^^^^^^^
File "/app/api/core/plugin/manager/base.py", line 189, in _request_with_plugin_daemon_response_stream
self._handle_plugin_daemon_error(error.error_type, error.message)
File "/app/api/core/plugin/manager/base.py", line 223, in _handle_plugin_daemon_error
raise PluginDaemonInternalServerError(description=message)
core.plugin.manager.exc.PluginDaemonInternalServerError: PluginDaemonInternalServerError: no available node, plugin not found