mirror of
https://github.com/langgenius/dify-plugin-daemon.git
synced 2026-07-22 17:56:00 -04:00
77 lines
1.8 KiB
YAML
77 lines
1.8 KiB
YAML
identity:
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name: "{{ .PluginName }}"
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author: "{{ .Author }}"
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label:
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en_US: "{{ .PluginName }}"
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zh_Hans: "{{ .PluginName }}"
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pt_BR: "{{ .PluginName }}"
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ja_JP: "{{ .PluginName }}"
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description:
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human:
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en_US: "{{ .PluginDescription }}"
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zh_Hans: "{{ .PluginDescription }}"
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pt_BR: "{{ .PluginDescription }}"
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ja_JP: "{{ .PluginDescription }}"
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llm: "{{ .PluginDescription }}"
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# For website crawl, you can use the following code:
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parameters:
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- name: query
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type: string
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required: true
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label:
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en_US: Query string
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zh_Hans: 查询语句
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pt_BR: Query string
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ja_JP: クエリ文字列
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human_description:
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en_US: "{{ .PluginDescription }}"
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zh_Hans: "{{ .PluginDescription }}"
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pt_BR: "{{ .PluginDescription }}"
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ja_JP: "{{ .PluginDescription }}"
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llm_description: "{{ .PluginDescription }}"
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form: llm
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output_schema:
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type: object
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properties:
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source_url:
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type: string
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description: the source url of the website
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content:
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type: string
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description: the content from the website
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title:
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type: string
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description: the title of the website
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"description":
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type: string
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description: the description of the website
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# For online document, you can use the following code:
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parameters:
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output_schema:
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type: object
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properties:
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workspace_id:
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type: string
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description: workspace id
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page_id:
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type: string
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description: page id
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content:
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type: string
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description: page content
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# For online drive, you can use the following code:
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parameters:
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output_schema:
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type: object
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properties:
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file:
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$ref: "https://dify.ai/schemas/v1/file.json"
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extra:
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python:
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source: datasources/{{ .PluginName }}.py
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