fix: indentation violations in YAML files (#1972)

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -1,9 +1,9 @@
 name: "🕷️ Bug report"
 description: Report errors or unexpected behavior
 labels:
-- bug
+  - bug
 body:
-- type: checkboxes
+  - type: checkboxes
     attributes:
       label: Self Checks
       description: "To make sure we get to you in time, please check the following :)"
@@ -13,7 +13,7 @@ body:
         - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
           required: true
 
-- type: input
+  - type: input
     attributes:
       label: Dify version
       placeholder: 0.3.21
@@ -21,7 +21,7 @@ body:
     validations:
       required: true
 
-- type: dropdown
+  - type: dropdown
     attributes:
       label: Cloud or Self Hosted
       description: How / Where was Dify installed from?
@@ -33,7 +33,7 @@ body:
     validations:
       required: true
 
-- type: textarea
+  - type: textarea
     attributes:
       label: Steps to reproduce
       description: We highly suggest including screenshots and a bug report log.
@@ -41,14 +41,14 @@ body:
     validations:
       required: true
 
-- type: textarea
+  - type: textarea
     attributes:
       label: ✔️ Expected Behavior
       placeholder: What were you expecting?
     validations:
       required: false
 
-- type: textarea
+  - type: textarea
     attributes:
       label: ❌ Actual Behavior
       placeholder: What happened instead?

.github/ISSUE_TEMPLATE/document_issue.yml

@@ -1,9 +1,9 @@
 name: "📚 Documentation Issue"
 description: Report issues in our documentation
 labels:
-- ducumentation
+  - ducumentation
 body:
-- type: checkboxes
+  - type: checkboxes
     attributes:
       label: Self Checks
       description: "To make sure we get to you in time, please check the following :)"
@@ -12,7 +12,7 @@ body:
           required: true
         - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
           required: true
-- type: textarea
+  - type: textarea
     attributes:
       label: Provide a description of requested docs changes
       placeholder: Briefly describe which document needs to be corrected and why.

.github/ISSUE_TEMPLATE/feature_request.yml

@@ -1,9 +1,9 @@
 name: "⭐ Feature or enhancement request"
 description: Propose something new.
 labels:
-- enhancement
+  - enhancement
 body:
-- type: checkboxes
+  - type: checkboxes
     attributes:
       label: Self Checks
       description: "To make sure we get to you in time, please check the following :)"
@@ -12,24 +12,24 @@ body:
           required: true
         - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
           required: true
-- type: textarea
+  - type: textarea
     attributes:
       label: Description of the new feature / enhancement
       placeholder: What is the expected behavior of the proposed feature?
     validations:
       required: true
-- type: textarea
+  - type: textarea
     attributes:
       label: Scenario when this would be used?
       placeholder: What is the scenario this would be used? Why is this important to your workflow as a dify user?
     validations:
       required: true
-- type: textarea
+  - type: textarea
     attributes:
       label: Supporting information
       placeholder: "Having additional evidence, data, tweets, blog posts, research, ... anything is extremely helpful. This information provides context to the scenario that may otherwise be lost."
     validations:
       required: false
-- type: markdown
+  - type: markdown
     attributes:
       value: Please limit one request per issue.

.github/ISSUE_TEMPLATE/help_wanted.yml

@@ -1,9 +1,9 @@
 name: "🤝 Help Wanted"
 description: "Request help from the community [please use English :）]"
 labels:
-- help-wanted
+  - help-wanted
 body:
-- type: checkboxes
+  - type: checkboxes
     attributes:
       label: Self Checks
       description: "To make sure we get to you in time, please check the following :)"
@@ -12,7 +12,7 @@ body:
           required: true
         - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
           required: true
-- type: textarea
+  - type: textarea
     attributes:
       label: Provide a description of the help you need
       placeholder: Briefly describe what you need help with.

.github/ISSUE_TEMPLATE/translation_issue.yml

@@ -1,9 +1,9 @@
 name: "🌐 Localization/Translation issue"
 description: Report incorrect translations. [please use English :）]
 labels:
-- translation
+  - translation
 body:
-- type: checkboxes
+  - type: checkboxes
     attributes:
       label: Self Checks
       description: "To make sure we get to you in time, please check the following :)"
@@ -12,39 +12,39 @@ body:
           required: true
         - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
           required: true
-- type: input
+  - type: input
     attributes:
       label: Dify version
       placeholder: 0.3.21
       description: Hover over system tray icon or look at Settings
     validations:
       required: true
-- type: input
+  - type: input
     attributes:
       label: Utility with translation issue
       placeholder: Some area
       description: Please input here the utility with the translation issue
     validations:
       required: true
-- type: input
+  - type: input
     attributes:
       label: 🌐 Language affected
       placeholder: "German"
     validations:
       required: true
-- type: textarea
+  - type: textarea
     attributes:
       label: ❌ Actual phrase(s)
       placeholder: What is there? Please include a screenshot as that is extremely helpful.
     validations:
       required: true
-- type: textarea
+  - type: textarea
     attributes:
       label: ✔️ Expected phrase(s)
       placeholder: What was expected?
     validations:
       required: true
-- type: textarea
+  - type: textarea
     attributes:
       label: ℹ Why is the current translation wrong
       placeholder: Why do you feel this is incorrect?

.github/linters/.yaml-lint.yml

@@ -5,11 +5,7 @@ extends: default
 rules:
   brackets:
     max-spaces-inside: 1
+  comments-indentation: disable
   document-start: disable
-  indentation:
-    level: warning
   line-length: disable
-  new-line-at-end-of-file:
-    level: warning
-  trailing-spaces:
-    level: warning
+  truthy: disable

.github/workflows/build-api-image.yml

@@ -6,7 +6,7 @@ on:
       - 'main'
       - 'deploy/dev'
   release:
-    types: [published]
+    types: [ published ]
 
 jobs:
   build-and-push:

.github/workflows/build-web-image.yml

@@ -6,7 +6,7 @@ on:
       - 'main'
       - 'deploy/dev'
   release:
-    types: [published]
+    types: [ published ]
 
 jobs:
   build-and-push:

api/core/model_runtime/model_providers/anthropic/anthropic.yaml

@@ -16,9 +16,9 @@ help:
   url:
     en_US: https://console.anthropic.com/account/keys
 supported_model_types:
-- llm
+  - llm
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
     - variable: anthropic_api_key

api/core/model_runtime/model_providers/anthropic/llm/claude-2.1.yaml

@@ -3,16 +3,16 @@ label:
   en_US: claude-2.1
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 200000
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: top_k
+  - name: top_k
     label:
       zh_Hans: 取样数量
       en_US: Top k
@@ -21,7 +21,7 @@ parameter_rules:
       zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
       en_US: Only sample from the top K options for each subsequent token.
     required: false
-- name: max_tokens_to_sample
+  - name: max_tokens_to_sample
     use_template: max_tokens
     required: true
     default: 4096

api/core/model_runtime/model_providers/anthropic/llm/claude-2.yaml

@@ -3,16 +3,16 @@ label:
   en_US: claude-2
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 100000
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: top_k
+  - name: top_k
     label:
       zh_Hans: 取样数量
       en_US: Top k
@@ -21,7 +21,7 @@ parameter_rules:
       zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
       en_US: Only sample from the top K options for each subsequent token.
     required: false
-- name: max_tokens_to_sample
+  - name: max_tokens_to_sample
     use_template: max_tokens
     required: true
     default: 4096

api/core/model_runtime/model_providers/anthropic/llm/claude-instant-1.yaml

@@ -2,16 +2,16 @@ model: claude-instant-1
 label:
   en_US: claude-instant-1
 model_type: llm
-features: []
+features: [ ]
 model_properties:
   mode: chat
   context_size: 100000
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: top_k
+  - name: top_k
     label:
       zh_Hans: 取样数量
       en_US: Top k
@@ -20,7 +20,7 @@ parameter_rules:
       zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
       en_US: Only sample from the top K options for each subsequent token.
     required: false
-- name: max_tokens_to_sample
+  - name: max_tokens_to_sample
     use_template: max_tokens
     required: true
     default: 4096

api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml

@@ -13,10 +13,10 @@ help:
   url:
     en_US: https://azure.microsoft.com/en-us/products/ai-services/openai-service
 supported_model_types:
-- llm
-- text-embedding
+  - llm
+  - text-embedding
 configurate_methods:
-- customizable-model
+  - customizable-model
 model_credential_schema:
   model:
     label:

api/core/model_runtime/model_providers/baichuan/baichuan.yaml

@@ -13,10 +13,10 @@ help:
   url:
     en_US: https://www.baichuan-ai.com
 supported_model_types:
-- llm
-- text-embedding
+  - llm
+  - text-embedding
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
     - variable: api_key

api/core/model_runtime/model_providers/baichuan/llm/baichuan2-53b.yaml

@@ -3,16 +3,16 @@ label:
   en_US: Baichuan2-53B
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 4000
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: top_k
+  - name: top_k
     label:
       zh_Hans: 取样数量
       en_US: Top k
@@ -21,17 +21,17 @@ parameter_rules:
       zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
       en_US: Only sample from the top K options for each subsequent token.
     required: false
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     required: true
     default: 1000
     min: 1
     max: 4000
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
-- name: with_search_enhance
+  - name: with_search_enhance
     label:
       zh_Hans: 搜索增强
       en_US: Search Enhance

api/core/model_runtime/model_providers/baichuan/llm/baichuan2-turbo-192k.yaml

@@ -3,16 +3,16 @@ label:
   en_US: Baichuan2-Turbo-192K
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 192000
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: top_k
+  - name: top_k
     label:
       zh_Hans: 取样数量
       en_US: Top k
@@ -21,17 +21,17 @@ parameter_rules:
       zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
       en_US: Only sample from the top K options for each subsequent token.
     required: false
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     required: true
     default: 8000
     min: 1
     max: 192000
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
-- name: with_search_enhance
+  - name: with_search_enhance
     label:
       zh_Hans: 搜索增强
       en_US: Search Enhance

api/core/model_runtime/model_providers/baichuan/llm/baichuan2-turbo.yaml

@@ -3,16 +3,16 @@ label:
   en_US: Baichuan2-Turbo
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 192000
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: top_k
+  - name: top_k
     label:
       zh_Hans: 取样数量
       en_US: Top k
@@ -21,17 +21,17 @@ parameter_rules:
       zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
       en_US: Only sample from the top K options for each subsequent token.
     required: false
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     required: true
     default: 8000
     min: 1
     max: 192000
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
-- name: with_search_enhance
+  - name: with_search_enhance
     label:
       zh_Hans: 搜索增强
       en_US: Search Enhance

api/core/model_runtime/model_providers/chatglm/chatglm.yaml

@@ -13,9 +13,9 @@ help:
   url:
     en_US: https://github.com/THUDM/ChatGLM3
 supported_model_types:
-- llm
+  - llm
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
     - variable: api_base

api/core/model_runtime/model_providers/chatglm/llm/chatglm2-6b-32k.yaml

@@ -3,17 +3,17 @@ label:
   en_US: ChatGLM2-6B-32K
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 32000
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
     required: false
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     required: true
     default: 2000

api/core/model_runtime/model_providers/chatglm/llm/chatglm2-6b.yaml

@@ -3,17 +3,17 @@ label:
   en_US: ChatGLM2-6B
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 2000
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
     required: false
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     required: true
     default: 256

api/core/model_runtime/model_providers/chatglm/llm/chatglm3-6b-32k.yaml

@@ -3,18 +3,18 @@ label:
   en_US: ChatGLM3-6B-32K
 model_type: llm
 features:
-- tool-call
-- agent-thought
+  - tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 32000
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
     required: false
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     required: true
     default: 8000

api/core/model_runtime/model_providers/chatglm/llm/chatglm3-6b.yaml

@@ -3,18 +3,18 @@ label:
   en_US: ChatGLM3-6B
 model_type: llm
 features:
-- tool-call
-- agent-thought
+  - tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 8000
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
     required: false
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     required: true
     default: 256

api/core/model_runtime/model_providers/cohere/cohere.yaml

@@ -14,9 +14,9 @@ help:
   url:
     en_US: https://dashboard.cohere.com/api-keys
 supported_model_types:
-- rerank
+  - rerank
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
     - variable: api_key
@@ -28,4 +28,4 @@ provider_credential_schema:
       placeholder:
         zh_Hans: 请填写 API Key
         en_US: Please fill in API Key
-    show_on: []
+      show_on: [ ]

api/core/model_runtime/model_providers/google/google.yaml

@@ -16,9 +16,9 @@ help:
   url:
     en_US: https://ai.google.dev/
 supported_model_types:
-- llm
+  - llm
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
     - variable: google_api_key
@@ -29,4 +29,3 @@ provider_credential_schema:
       placeholder:
         zh_Hans: 在此输入您的 API Key
         en_US: Enter your API Key
-  

api/core/model_runtime/model_providers/google/llm/gemini-pro-vision.yaml

@@ -3,16 +3,16 @@ label:
   en_US: Gemini Pro Vision
 model_type: llm
 features:
-- vision
+  - vision
 model_properties:
   mode: chat
   context_size: 12288
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: top_k
+  - name: top_k
     label:
       zh_Hans: 取样数量
       en_US: Top k
@@ -21,7 +21,7 @@ parameter_rules:
       zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
       en_US: Only sample from the top K options for each subsequent token.
     required: false
-- name: max_tokens_to_sample
+  - name: max_tokens_to_sample
     use_template: max_tokens
     required: true
     default: 4096

api/core/model_runtime/model_providers/google/llm/gemini-pro.yaml

@@ -3,16 +3,16 @@ label:
   en_US: Gemini Pro
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 30720
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: top_k
+  - name: top_k
     label:
       zh_Hans: 取样数量
       en_US: Top k
@@ -21,7 +21,7 @@ parameter_rules:
       zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
       en_US: Only sample from the top K options for each subsequent token.
     required: false
-- name: max_tokens_to_sample
+  - name: max_tokens_to_sample
     use_template: max_tokens
     required: true
     default: 2048

api/core/model_runtime/model_providers/huggingface_hub/huggingface_hub.yaml

@@ -13,10 +13,10 @@ help:
   url:
     en_US: https://huggingface.co/settings/tokens
 supported_model_types:
-- llm
-- text-embedding
+  - llm
+  - text-embedding
 configurate_methods:
-- customizable-model
+  - customizable-model
 model_credential_schema:
   model:
     label:

api/core/model_runtime/model_providers/jina/jina.yaml

@@ -15,9 +15,9 @@ help:
   url:
     en_US: https://jina.ai/embeddings/
 supported_model_types:
-- text-embedding
+  - text-embedding
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
     - variable: api_key

api/core/model_runtime/model_providers/localai/localai.yaml

@@ -13,10 +13,10 @@ help:
   url:
     en_US: https://github.com/go-skynet/LocalAI
 supported_model_types:
-- llm
-- text-embedding
+  - llm
+  - text-embedding
 configurate_methods:
-- customizable-model
+  - customizable-model
 model_credential_schema:
   model:
     label:

api/core/model_runtime/model_providers/minimax/llm/abab5-chat.yaml

@@ -3,24 +3,24 @@ label:
   en_US: Abab5-Chat
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 6144
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     required: true
     default: 6144
     min: 1
     max: 6144
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
 pricing:
   input: '0.00'

api/core/model_runtime/model_providers/minimax/llm/abab5.5-chat.yaml

@@ -3,26 +3,26 @@ label:
   en_US: Abab5.5-Chat
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 16384
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     required: true
     default: 6144
     min: 1
     max: 16384
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
-- name: plugin_web_search
+  - name: plugin_web_search
     required: false
     default: false
     type: boolean

api/core/model_runtime/model_providers/minimax/minimax.yaml

@@ -13,10 +13,10 @@ help:
   url:
     en_US: https://api.minimax.chat/user-center/basic-information/interface-key
 supported_model_types:
-- llm
-- text-embedding
+  - llm
+  - text-embedding
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
     - variable: minimax_api_key

api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-0613.yaml

@@ -4,21 +4,21 @@ label:
   en_US: gpt-3.5-turbo-0613
 model_type: llm
 features:
-- multi-tool-call
-- agent-thought
+  - multi-tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 4096
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     default: 512
     min: 1

api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-1106.yaml

@@ -4,21 +4,21 @@ label:
   en_US: gpt-3.5-turbo-1106
 model_type: llm
 features:
-- multi-tool-call
-- agent-thought
+  - multi-tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 16385
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     default: 512
     min: 1

api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-16k-0613.yaml

@@ -4,21 +4,21 @@ label:
   en_US: gpt-3.5-turbo-16k-0613
 model_type: llm
 features:
-- multi-tool-call
-- agent-thought
+  - multi-tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 16385
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     default: 512
     min: 1

api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-16k.yaml

@@ -4,21 +4,21 @@ label:
   en_US: gpt-3.5-turbo-16k
 model_type: llm
 features:
-- multi-tool-call
-- agent-thought
+  - multi-tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 16385
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     default: 512
     min: 1

api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-instruct.yaml

@@ -3,20 +3,20 @@ label:
   zh_Hans: gpt-3.5-turbo-instruct
   en_US: gpt-3.5-turbo-instruct
 model_type: llm
-features: []
+features: [ ]
 model_properties:
   mode: completion
   context_size: 4096
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     default: 512
     min: 1

api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo.yaml

@@ -4,21 +4,21 @@ label:
   en_US: gpt-3.5-turbo
 model_type: llm
 features:
-- multi-tool-call
-- agent-thought
+  - multi-tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 4096
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     default: 512
     min: 1

api/core/model_runtime/model_providers/openai/llm/gpt-4-1106-preview.yaml

@@ -4,26 +4,26 @@ label:
   en_US: gpt-4-1106-preview
 model_type: llm
 features:
-- multi-tool-call
-- agent-thought
+  - multi-tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 128000
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     default: 512
     min: 1
     max: 128000
-- name: seed
+  - name: seed
     label:
       zh_Hans: 种子
       en_US: Seed
@@ -39,7 +39,7 @@ parameter_rules:
     precision: 2
     min: 0
     max: 1
-- name: response_format
+  - name: response_format
     label:
       zh_Hans: 回复格式
       en_US: response_format

api/core/model_runtime/model_providers/openai/llm/gpt-4-32k.yaml

@@ -4,26 +4,26 @@ label:
   en_US: gpt-4-32k
 model_type: llm
 features:
-- multi-tool-call
-- agent-thought
+  - multi-tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 32768
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     default: 512
     min: 1
     max: 32768
-- name: seed
+  - name: seed
     label:
       zh_Hans: 种子
       en_US: Seed
@@ -39,7 +39,7 @@ parameter_rules:
     precision: 2
     min: 0
     max: 1
-- name: response_format
+  - name: response_format
     label:
       zh_Hans: 回复格式
       en_US: response_format

api/core/model_runtime/model_providers/openai/llm/gpt-4-vision-preview.yaml

@@ -4,25 +4,25 @@ label:
   en_US: gpt-4-vision-preview
 model_type: llm
 features:
-- vision
+  - vision
 model_properties:
   mode: chat
   context_size: 128000
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     default: 512
     min: 1
     max: 128000
-- name: seed
+  - name: seed
     label:
       zh_Hans: 种子
       en_US: Seed
@@ -38,7 +38,7 @@ parameter_rules:
     precision: 2
     min: 0
     max: 1
-- name: response_format
+  - name: response_format
     label:
       zh_Hans: 回复格式
       en_US: response_format

api/core/model_runtime/model_providers/openai/llm/gpt-4.yaml

@@ -4,26 +4,26 @@ label:
   en_US: gpt-4
 model_type: llm
 features:
-- multi-tool-call
-- agent-thought
+  - multi-tool-call
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 8192
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     default: 512
     min: 1
     max: 8192
-- name: seed
+  - name: seed
     label:
       zh_Hans: 种子
       en_US: Seed
@@ -39,7 +39,7 @@ parameter_rules:
     precision: 2
     min: 0
     max: 1
-- name: response_format
+  - name: response_format
     label:
       zh_Hans: 回复格式
       en_US: response_format

api/core/model_runtime/model_providers/openai/llm/text-davinci-003.yaml

@@ -3,20 +3,20 @@ label:
   zh_Hans: text-davinci-003
   en_US: text-davinci-003
 model_type: llm
-features: []
+features: [ ]
 model_properties:
   mode: completion
   context_size: 4096
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     default: 512
     min: 1

api/core/model_runtime/model_providers/openai/openai.yaml

@@ -16,13 +16,13 @@ help:
   url:
     en_US: https://platform.openai.com/account/api-keys
 supported_model_types:
-- llm
-- text-embedding
-- speech2text
-- moderation
+  - llm
+  - text-embedding
+  - speech2text
+  - moderation
 configurate_methods:
-- predefined-model
-- customizable-model
+  - predefined-model
+  - customizable-model
 model_credential_schema:
   model:
     label:

api/core/model_runtime/model_providers/openai_api_compatible/openai_api_compatible.yaml

@@ -5,10 +5,10 @@ description:
   en_US: Model providers compatible with OpenAI's API standard, such as LM Studio.
   zh_Hans: 兼容 OpenAI API 的模型供应商，例如 LM Studio 。
 supported_model_types:
-- llm
-- text-embedding
+  - llm
+  - text-embedding
 configurate_methods:
-- customizable-model
+  - customizable-model
 model_credential_schema:
   model:
     label:

api/core/model_runtime/model_providers/openllm/openllm.yaml

@@ -13,10 +13,10 @@ help:
   url:
     en_US: https://github.com/bentoml/OpenLLM
 supported_model_types:
-- llm
-- text-embedding
+  - llm
+  - text-embedding
 configurate_methods:
-- customizable-model
+  - customizable-model
 model_credential_schema:
   model:
     label:

api/core/model_runtime/model_providers/replicate/replicate.yaml

@@ -13,10 +13,10 @@ help:
   url:
     en_US: https://replicate.com/account/api-tokens
 supported_model_types:
-- llm
-- text-embedding
+  - llm
+  - text-embedding
 configurate_methods:
-- customizable-model
+  - customizable-model
 model_credential_schema:
   model:
     label:

api/core/model_runtime/model_providers/spark/llm/spark-1.5.yaml

@@ -5,13 +5,13 @@ model_type: llm
 model_properties:
   mode: chat
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
     default: 0.5
     help:
       zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
       en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     default: 512
     min: 1
@@ -19,7 +19,7 @@ parameter_rules:
     help:
       zh_Hans: 模型回答的tokens的最大长度。
       en_US: 模型回答的tokens的最大长度。
-- name: top_k
+  - name: top_k
     label:
       zh_Hans: 取样数量
       en_US: Top k

api/core/model_runtime/model_providers/spark/llm/spark-2.yaml

@@ -6,13 +6,13 @@ model_type: llm
 model_properties:
   mode: chat
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
     default: 0.5
     help:
       zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
       en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     default: 2048
     min: 1
@@ -20,7 +20,7 @@ parameter_rules:
     help:
       zh_Hans: 模型回答的tokens的最大长度。
       en_US: 模型回答的tokens的最大长度。
-- name: top_k
+  - name: top_k
     label:
       zh_Hans: 取样数量
       en_US: Top k

api/core/model_runtime/model_providers/spark/llm/spark-3.yaml

@@ -5,13 +5,13 @@ model_type: llm
 model_properties:
   mode: chat
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
     default: 0.5
     help:
       zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。
       en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question.
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     default: 2048
     min: 1
@@ -19,7 +19,7 @@ parameter_rules:
     help:
       zh_Hans: 模型回答的tokens的最大长度。
       en_US: 模型回答的tokens的最大长度。
-- name: top_k
+  - name: top_k
     label:
       zh_Hans: 取样数量
       en_US: Top k

api/core/model_runtime/model_providers/spark/spark.yaml

@@ -15,9 +15,9 @@ help:
   url:
     en_US: https://www.xfyun.cn/solutions/xinghuoAPI
 supported_model_types:
-- llm
+  - llm
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
     - variable: app_id

api/core/model_runtime/model_providers/togetherai/togetherai.yaml

@@ -13,9 +13,9 @@ help:
   url:
     en_US: https://api.together.xyz/
 supported_model_types:
-- llm
+  - llm
 configurate_methods:
-- customizable-model
+  - customizable-model
 model_credential_schema:
   model:
     label:

api/core/model_runtime/model_providers/tongyi/llm/qwen-plus.yaml

@@ -6,7 +6,7 @@ model_properties:
   mode: completion
   context_size: 32000
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
     default: 1.0
     min: 0.0
@@ -14,13 +14,13 @@ parameter_rules:
     help:
       zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
       en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-- name: top_p
+  - name: top_p
     use_template: top_p
     default: 0.8
     help:
       zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
       en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     default: 2000
     min: 1
@@ -28,7 +28,7 @@ parameter_rules:
     help:
       zh_Hans: 用于限制模型生成token的数量，max_tokens设置的是生成上限，并不表示一定会生成这么多的token数量。
       en_US: It is used to limit the number of tokens generated by the model. max_tokens sets the upper limit of generation, which does not mean that so many tokens will be generated.
-- name: top_k
+  - name: top_k
     label:
       zh_Hans: 取样数量
       en_US: Top k
@@ -37,7 +37,7 @@ parameter_rules:
       zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。默认不传递该参数，取值为None或当top_k大于100时，表示不启用top_k策略，此时，仅有top_p策略生效。
       en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. This parameter is not passed by default. The value is None or when top_k is greater than 100, it means that the top_k policy is not enabled. At this time, only the top_p policy takes effect.
     required: false
-- name: seed
+  - name: seed
     label:
       zh_Hans: 随机种子
       en_US: Random seed
@@ -47,7 +47,7 @@ parameter_rules:
       zh_Hans: 生成时，随机数的种子，用于控制模型生成的随机性。如果使用相同的种子，每次运行生成的结果都将相同；当需要复现模型的生成结果时，可以使用相同的种子。seed参数支持无符号64位整数类型。默认值 1234。
       en_US: When generating, the random number seed is used to control the randomness of model generation. If you use the same seed, the results generated by each run will be the same; when you need to reproduce the results of the model, you can use the same seed. The seed parameter supports unsigned 64-bit integer types. Default value 1234.
     required: false
-- name: repetition_penalty
+  - name: repetition_penalty
     label:
       en_US: Repetition penalty
     type: float

api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo.yaml

@@ -6,7 +6,7 @@ model_properties:
   mode: completion
   context_size: 8192
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
     default: 1.0
     min: 0.0
@@ -14,13 +14,13 @@ parameter_rules:
     help:
       zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
       en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
-- name: top_p
+  - name: top_p
     use_template: top_p
     default: 0.8
     help:
       zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
       en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     default: 1500
     min: 1
@@ -28,7 +28,7 @@ parameter_rules:
     help:
       zh_Hans: 用于限制模型生成token的数量，max_tokens设置的是生成上限，并不表示一定会生成这么多的token数量。
       en_US: It is used to limit the number of tokens generated by the model. max_tokens sets the upper limit of generation, which does not mean that so many tokens will be generated.
-- name: top_k
+  - name: top_k
     label:
       zh_Hans: 取样数量
       en_US: Top k
@@ -37,7 +37,7 @@ parameter_rules:
       zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。默认不传递该参数，取值为None或当top_k大于100时，表示不启用top_k策略，此时，仅有top_p策略生效。
       en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. This parameter is not passed by default. The value is None or when top_k is greater than 100, it means that the top_k policy is not enabled. At this time, only the top_p policy takes effect.
     required: false
-- name: seed
+  - name: seed
     label:
       zh_Hans: 随机种子
       en_US: Random seed
@@ -47,7 +47,7 @@ parameter_rules:
       zh_Hans: 生成时，随机数的种子，用于控制模型生成的随机性。如果使用相同的种子，每次运行生成的结果都将相同；当需要复现模型的生成结果时，可以使用相同的种子。seed参数支持无符号64位整数类型。默认值 1234。
       en_US: When generating, the random number seed is used to control the randomness of model generation. If you use the same seed, the results generated by each run will be the same; when you need to reproduce the results of the model, you can use the same seed. The seed parameter supports unsigned 64-bit integer types. Default value 1234.
     required: false
-- name: repetition_penalty
+  - name: repetition_penalty
     label:
       en_US: Repetition penalty
     type: float

api/core/model_runtime/model_providers/tongyi/tongyi.yaml

@@ -15,9 +15,9 @@ help:
   url:
     en_US: https://dashscope.console.aliyun.com/api-key_management
 supported_model_types:
-- llm
+  - llm
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
     - variable: dashscope_api_key

api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-4.yaml

@@ -3,29 +3,29 @@ label:
   en_US: Ernie Bot 4
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 4800
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
     min: 0.1
     max: 1.0
     default: 0.8
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     required: true
     default: 256
     min: 1
     max: 4800
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
-- name: disable_search
+  - name: disable_search
     label:
       zh_Hans: 禁用搜索
       en_US: Disable Search

api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-8k.yaml

@@ -3,29 +3,29 @@ label:
   en_US: Ernie Bot 8k
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 8000
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
     min: 0.1
     max: 1.0
     default: 0.8
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     required: true
     default: 1024
     min: 1
     max: 8000
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
-- name: disable_search
+  - name: disable_search
     label:
       zh_Hans: 禁用搜索
       en_US: Disable Search

api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-turbo.yaml

@@ -3,25 +3,25 @@ label:
   en_US: Ernie Bot Turbo
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 11200
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
     min: 0.1
     max: 1.0
     default: 0.8
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     required: true
     default: 1024
     min: 1
     max: 11200
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty

api/core/model_runtime/model_providers/wenxin/llm/ernie-bot.yaml

@@ -3,29 +3,29 @@ label:
   en_US: Ernie Bot
 model_type: llm
 features:
-- agent-thought
+  - agent-thought
 model_properties:
   mode: chat
   context_size: 4800
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
     min: 0.1
     max: 1.0
     default: 0.8
-- name: top_p
+  - name: top_p
     use_template: top_p
-- name: max_tokens
+  - name: max_tokens
     use_template: max_tokens
     required: true
     default: 256
     min: 1
     max: 4800
-- name: presence_penalty
+  - name: presence_penalty
     use_template: presence_penalty
-- name: frequency_penalty
+  - name: frequency_penalty
     use_template: frequency_penalty
-- name: disable_search
+  - name: disable_search
     label:
       zh_Hans: 禁用搜索
       en_US: Disable Search

api/core/model_runtime/model_providers/wenxin/wenxin.yaml

@@ -16,9 +16,9 @@ help:
   url:
     en_US: https://cloud.baidu.com/wenxin.html
 supported_model_types:
-- llm
+  - llm
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
     - variable: api_key

api/core/model_runtime/model_providers/xinference/xinference.yaml

@@ -13,11 +13,11 @@ help:
   url:
     en_US: https://github.com/xorbitsai/inference
 supported_model_types:
-- llm
-- text-embedding
-- rerank
+  - llm
+  - text-embedding
+  - rerank
 configurate_methods:
-- customizable-model
+  - customizable-model
 model_credential_schema:
   model:
     label:

api/core/model_runtime/model_providers/zhipuai/llm/chatglm_lite.yaml

@@ -5,7 +5,7 @@ model_type: llm
 model_properties:
   mode: chat
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
     default: 0.9
     min: 0.0
@@ -13,7 +13,7 @@ parameter_rules:
     help:
       zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
       en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-- name: top_p
+  - name: top_p
     use_template: top_p
     default: 0.7
     help:

api/core/model_runtime/model_providers/zhipuai/llm/chatglm_lite_32k.yaml

@@ -5,7 +5,7 @@ model_type: llm
 model_properties:
   mode: chat
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
     default: 0.9
     min: 0.0
@@ -13,7 +13,7 @@ parameter_rules:
     help:
       zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
       en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-- name: top_p
+  - name: top_p
     use_template: top_p
     default: 0.7
     help:

api/core/model_runtime/model_providers/zhipuai/llm/chatglm_pro.yaml

@@ -5,7 +5,7 @@ model_type: llm
 model_properties:
   mode: chat
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
     default: 0.9
     min: 0.0
@@ -13,7 +13,7 @@ parameter_rules:
     help:
       zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
       en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-- name: top_p
+  - name: top_p
     use_template: top_p
     default: 0.7
     help:

api/core/model_runtime/model_providers/zhipuai/llm/chatglm_std.yaml

@@ -5,7 +5,7 @@ model_type: llm
 model_properties:
   mode: chat
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
     default: 0.9
     min: 0.0
@@ -13,7 +13,7 @@ parameter_rules:
     help:
       zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
       en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-- name: top_p
+  - name: top_p
     use_template: top_p
     default: 0.7
     help:

api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml

@@ -5,7 +5,7 @@ model_type: llm
 model_properties:
   mode: chat
 parameter_rules:
-- name: temperature
+  - name: temperature
     use_template: temperature
     default: 0.95
     min: 0.0
@@ -13,13 +13,13 @@ parameter_rules:
     help:
       zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
       en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-- name: top_p
+  - name: top_p
     use_template: top_p
     default: 0.7
     help:
       zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。
       en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time.
-- name: incremental
+  - name: incremental
     label:
       zh_Hans: 增量返回
       en_US: Incremental
@@ -28,7 +28,7 @@ parameter_rules:
       zh_Hans: SSE接口调用时，用于控制每次返回内容方式是增量还是全量，不提供此参数时默认为增量返回，true 为增量返回，false 为全量返回。
       en_US: When the SSE interface is called, it is used to control whether the content is returned incrementally or in full. If this parameter is not provided, the default is incremental return. true means incremental return, false means full return.
     required: false
-- name: return_type
+  - name: return_type
     label:
       zh_Hans: 回复类型
       en_US: Return Type

api/core/model_runtime/model_providers/zhipuai/zhipuai.yaml

@@ -15,10 +15,10 @@ help:
   url:
     en_US: https://open.bigmodel.cn/usercenter/apikeys
 supported_model_types:
-- llm
-- text-embedding
+  - llm
+  - text-embedding
 configurate_methods:
-- predefined-model
+  - predefined-model
 provider_credential_schema:
   credential_form_schemas:
     - variable: api_key

docker/docker-compose.yaml

@@ -236,7 +236,7 @@ services:
     # ports:
     #   - "5432:5432"
     healthcheck:
-      test: ["CMD", "pg_isready"]
+      test: [ "CMD", "pg_isready" ]
       interval: 1s
       timeout: 3s
       retries: 30