langgenius/dify-docs-archived
1
0
Fork 0
mirror of https://github.com/langgenius/dify-docs-archived.git synced 2026-07-25 05:25:44 -04:00
Code Issues 39 Packages Projects Releases Wiki Activity

lm studio模型无法识别 #118

New Issue
Open
opened 2026-02-16 11:19:48 -05:00 by yindo · 9 comments
yindo commented 2026-02-16 11:19:48 -05:00
Owner
Copy Link
Copy Source

Originally created by @gjzhappy on GitHub (Mar 21, 2025).

在dify中引入lm studio的模型(deepseek-r1-distill-qwen-32b),
问题1.
创建多轮对话, 预览执行的时候会报错,
Run failed: 1 validation error for LLMNodeData
model.mode
Field required [type=missing, input_value={'provider': 'stvlynn/lms...': {'temperature': 0.7}}, input_type=dict]
For further information visit https://errors.pydantic.dev/2.9/v/missing
问题2.
创建agent, 跟agent聊天的时候, 提示 Invalid LLM mode: None

总结: dify似乎没有识别ds模型, 请问: 是因为lm studio插件的问题, 还是模型的问题, 亦或是bug呢

Originally created by @gjzhappy on GitHub (Mar 21, 2025). 在dify中引入lm studio的模型(deepseek-r1-distill-qwen-32b), **问题1**. 创建多轮对话, 预览执行的时候会报错, Run failed: 1 validation error for LLMNodeData model.mode Field required [type=missing, input_value={'provider': 'stvlynn/lms...': {'temperature': 0.7}}, input_type=dict] For further information visit https://errors.pydantic.dev/2.9/v/missing **问题2**. 创建agent, 跟agent聊天的时候, 提示 Invalid LLM mode: None **总结**: dify似乎没有识别ds模型, 请问: 是因为lm studio插件的问题, 还是模型的问题, 亦或是bug呢
yindo added the bug label 2026-02-16 11:19:48 -05:00
yindo commented 2026-02-16 11:19:48 -05:00
Author
Owner
Copy Link
Copy Source

@dosubot[bot] commented on GitHub (Mar 21, 2025):

Hey @gjzhappy! I'm here to help you with any bugs, questions, or contributions you have. Let's tackle this together!

对于您在 Dify 中引入 lm studio 模型时遇到的问题，以下是一些可能的解决方案：

问题1: "Run failed: 1 validation error for LLMNodeData model.mode Field required"

这个错误提示表明 model.mode 字段缺失。确保在配置模型时，model.mode 字段已正确设置。根据 Dify 的要求，您可能需要检查模型的配置文件，确保所有必需的字段都已填写。

问题2: "Invalid LLM mode: None"

这个错误通常意味着模型的模式配置不正确或未设置。请检查您的模型配置，确保 model.mode 字段已正确设置为 Dify 支持的模式。

关于 Dify 和 lm studio 模型的集成，特别是 'deepseek-r1-distill-qwen-32b' 模型，您可以参考以下步骤进行配置：

  1. 部署 DeepSeek 模型：如果使用在线 API 服务，请在相应平台上部署 DeepSeek 模型。对于本地部署的模型，使用 Ollama 客户端。

  2. 连接模型到 Dify：

    • 登录 Dify 平台，进入 Profile → Settings → Model Providers。
    • 选择 Ollama 并点击 Add Model。
    • 配置模型，确保输入正确的模型名称和本地服务 URL。

  3. 测试模型：在 Dify 首页创建一个空白应用，选择 Chatbot，并选择 deepseek-r1:7b 模型进行测试。

如果这些步骤未能解决问题，可能需要进一步检查 lm studio 插件的兼容性或 Dify 的配置文件是否有其他问题。您可以参考 FAQ 以获取更多故障排除信息。

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 21, 2025): <!-- Greeting --> Hey @gjzhappy! I'm here to help you with any bugs, questions, or contributions you have. Let's tackle this together! <!-- Answer --> 对于您在 Dify 中引入 lm studio 模型时遇到的问题，以下是一些可能的解决方案： **问题1**: "Run failed: 1 validation error for LLMNodeData model.mode Field required" 这个错误提示表明 `model.mode` 字段缺失。确保在配置模型时，`model.mode` 字段已正确设置。根据 Dify 的要求，您可能需要检查模型的配置文件，确保所有必需的字段都已填写。 **问题2**: "Invalid LLM mode: None" 这个错误通常意味着模型的模式配置不正确或未设置。请检查您的模型配置，确保 `model.mode` 字段已正确设置为 Dify 支持的模式。 关于 Dify 和 lm studio 模型的集成，特别是 'deepseek-r1-distill-qwen-32b' 模型，您可以参考以下步骤进行配置： 1. **部署 DeepSeek 模型**：如果使用在线 API 服务，请在相应平台上部署 DeepSeek 模型。对于本地部署的模型，使用 Ollama 客户端。 2. **连接模型到 Dify**： - 登录 Dify 平台，进入 **Profile → Settings → Model Providers**。 - 选择 **Ollama** 并点击 **Add Model**。 - 配置模型，确保输入正确的模型名称和本地服务 URL。 3. **测试模型**：在 Dify 首页创建一个空白应用，选择 Chatbot，并选择 `deepseek-r1:7b` 模型进行测试。 如果这些步骤未能解决问题，可能需要进一步检查 lm studio 插件的兼容性或 Dify 的配置文件是否有其他问题。您可以参考 [FAQ](https://docs.dify.ai/learn-more/use-cases/private-ai-ollama-deepseek-dify#id-1.-connection-errors-when-using-docker) 以获取更多故障排除信息。 <!-- Dosu Comment Footer --> *To continue talking to [Dosu](https://dosu.dev), mention @dosu.* --- <sup>Help Dosu learn! Give it feedback: [Great Response](https://app.dosu.dev/response-feedback/27bc7995-ebc2-409a-86fc-e33b5668fd58?feedback_type=great_response) | [Irrelevant Answer](https://app.dosu.dev/response-feedback/27bc7995-ebc2-409a-86fc-e33b5668fd58?feedback_type=irrelevant_answer) | [Incorrect Sources](https://app.dosu.dev/response-feedback/27bc7995-ebc2-409a-86fc-e33b5668fd58?feedback_type=incorrect_sources) | [Too Verbose](https://app.dosu.dev/response-feedback/27bc7995-ebc2-409a-86fc-e33b5668fd58?feedback_type=too_verbose) | [Hallucination](https://app.dosu.dev/response-feedback/27bc7995-ebc2-409a-86fc-e33b5668fd58?feedback_type=hallucination) | [Bug Report](https://app.dosu.dev/response-feedback/27bc7995-ebc2-409a-86fc-e33b5668fd58?feedback_type=bug_report) | [Other](https://app.dosu.dev/response-feedback/27bc7995-ebc2-409a-86fc-e33b5668fd58?feedback_type=other)</sup>
yindo commented 2026-02-16 11:19:48 -05:00
Author
Owner
Copy Link
Copy Source

@atpyk commented on GitHub (Apr 21, 2025):

I ran into the same issue in my dify, when I built the workflow and tried to involve my local LLM which host by LM Studio, it prompts this issue as well.
1 validation error for LLMNodeData model.mode Field required [type=missing, input_value={'provider': 'stvlynn/lms...'completion_params': {}}, input_type=dict] For further information visit https://errors.pydantic.dev/2.9/v/missing

@atpyk commented on GitHub (Apr 21, 2025): I ran into the same issue in my dify, when I built the workflow and tried to involve my local LLM which host by LM Studio, it prompts this issue as well. `1 validation error for LLMNodeData model.mode Field required [type=missing, input_value={'provider': 'stvlynn/lms...'completion_params': {}}, input_type=dict] For further information visit https://errors.pydantic.dev/2.9/v/missing`
yindo commented 2026-02-16 11:19:48 -05:00
Author
Owner
Copy Link
Copy Source

@305508770 commented on GitHub (Apr 23, 2025):

I also encountered the same problem

@305508770 commented on GitHub (Apr 23, 2025): I also encountered the same problem
yindo commented 2026-02-16 11:19:48 -05:00
Author
Owner
Copy Link
Copy Source

@zoka-he commented on GitHub (Apr 26, 2025):

same problem in chatflow too.

@zoka-he commented on GitHub (Apr 26, 2025): same problem in chatflow too.
yindo commented 2026-02-16 11:19:48 -05:00
Author
Owner
Copy Link
Copy Source

@lhtpluto commented on GitHub (Apr 28, 2025):

同样遇到这个问题

@lhtpluto commented on GitHub (Apr 28, 2025): 同样遇到这个问题
yindo commented 2026-02-16 11:19:48 -05:00
Author
Owner
Copy Link
Copy Source

@v2leon commented on GitHub (Apr 28, 2025):

Same problem. it works for Agent chat, but not work with workflow LLM node.
for the trace information , the previous node didn't give model.model data to LM studio api. which is correct when chat with LM studio API.but i cant find a methold to add that parameter for LLM node in workflow.

i think it's kind of workflow LLM node bug. hope fix.

@v2leon commented on GitHub (Apr 28, 2025): Same problem. it works for Agent chat, but not work with workflow LLM node. for the trace information , the previous node didn't give model.model data to LM studio api. which is correct when chat with LM studio API.but i cant find a methold to add that parameter for LLM node in workflow. i think it's kind of workflow LLM node bug. hope fix.
yindo commented 2026-02-16 11:19:48 -05:00
Author
Owner
Copy Link
Copy Source

@suxianhai commented on GitHub (May 3, 2025):

Same problem. logs
1 validation error for LLMNodeData model.mode Field required [type=missing, input_value={'provider': 'stvlynn/lms...'completion_params': {}}, input_type=dict] For further information visit https://errors.pydantic.dev/2.9/v/missing

@suxianhai commented on GitHub (May 3, 2025): Same problem. logs 1 validation error for LLMNodeData model.mode Field required [type=missing, input_value={'provider': 'stvlynn/lms...'completion_params': {}}, input_type=dict] For further information visit https://errors.pydantic.dev/2.9/v/missing
yindo commented 2026-02-16 11:19:48 -05:00
Author
Owner
Copy Link
Copy Source

@alickfine commented on GitHub (May 10, 2025):

Same problem. it works for Agent chat, but not work with workflow LLM node. for the trace information , the previous node didn't give model.model data to LM studio api. which is correct when chat with LM studio API.but i cant find a methold to add that parameter for LLM node in workflow.

i think it's kind of workflow LLM node bug. hope fix.

Hey, how can you do this ? I have the same problem. Thanks!

@alickfine commented on GitHub (May 10, 2025): > Same problem. it works for Agent chat, but not work with workflow LLM node. for the trace information , the previous node didn't give model.model data to LM studio api. which is correct when chat with LM studio API.but i cant find a methold to add that parameter for LLM node in workflow. > > i think it's kind of workflow LLM node bug. hope fix. Hey, how can you do this ? I have the same problem. Thanks!
yindo commented 2026-02-16 11:19:48 -05:00
Author
Owner
Copy Link
Copy Source

@alickfine commented on GitHub (May 10, 2025):

在dify中引入lm studio的模型(deepseek-r1-distill-qwen-32b), 问题1. 创建多轮对话, 预览执行的时候会报错, Run failed: 1 validation error for LLMNodeData model.mode Field required [type=missing, input_value={'provider': 'stvlynn/lms...': {'temperature': 0.7}}, input_type=dict] For further information visit https://errors.pydantic.dev/2.9/v/missing 问题2. 创建agent, 跟agent聊天的时候, 提示 Invalid LLM mode: None

总结: dify似乎没有识别ds模型, 请问: 是因为lm studio插件的问题, 还是模型的问题, 亦或是bug呢

我已经解决了，这个是dify的lm studio插件的问题，只要使用open ai兼容插件来调用模型就ok了，不过设置的参数会多一些，一个一个来就行

@alickfine commented on GitHub (May 10, 2025): > 在dify中引入lm studio的模型(deepseek-r1-distill-qwen-32b), **问题1**. 创建多轮对话, 预览执行的时候会报错, Run failed: 1 validation error for LLMNodeData model.mode Field required [type=missing, input_value={'provider': 'stvlynn/lms...': {'temperature': 0.7}}, input_type=dict] For further information visit https://errors.pydantic.dev/2.9/v/missing **问题2**. 创建agent, 跟agent聊天的时候, 提示 Invalid LLM mode: None > > **总结**: dify似乎没有识别ds模型, 请问: 是因为lm studio插件的问题, 还是模型的问题, 亦或是bug呢 我已经解决了，这个是dify的lm studio插件的问题，只要使用open ai兼容插件来调用模型就ok了，不过设置的参数会多一些，一个一个来就行
Sign in to join this conversation.
No Branch/Tag Specified
Branches Tags
Labels
Clear labels
bug
documentation
documentation
enhancement
enhancement
pull-request
Mirrored from GitHub Pull Request
 question
stale
No Label bug
Milestone
No items
No Milestone
Projects
Clear projects
No project
Assignees
Clear assignees
yindo
No Assignees
1 Participants
Notifications
Due Date
No due date set.
Dependencies

No dependencies set.

Reference: langgenius/dify-docs-archived#118
Delete Branch "%!s()"

Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?