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from typing import Any
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from duckduckgo_search import DDGS
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from core.model_runtime.entities.message_entities import SystemPromptMessage
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from core.tools.entities.tool_entities import ToolInvokeMessage
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from core.tools.tool.builtin_tool import BuiltinTool
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SUMMARY_PROMPT = """
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User's query:
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{query}
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Here are the news results:
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{content}
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Please summarize the news in a few sentences.
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"""
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class DuckDuckGoNewsSearchTool(BuiltinTool):
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"""
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Tool for performing a news search using DuckDuckGo search engine.
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"""
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def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]:
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query_dict = {
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"keywords": tool_parameters.get("query"),
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"timelimit": tool_parameters.get("timelimit"),
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"max_results": tool_parameters.get("max_results"),
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"safesearch": "moderate",
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"region": "wt-wt"
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}
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try:
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response = list(DDGS().news(**query_dict))
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if not response:
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return [self.create_text_message("No news found matching your criteria.")]
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except Exception as e:
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return [self.create_text_message(f"Error searching news: {str(e)}")]
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require_summary = tool_parameters.get("require_summary", False)
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if require_summary:
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results = "\n".join([f"{res.get('title')}: {res.get('body')}" for res in response])
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results = self.summary_results(user_id=user_id, content=results, query=query_dict["keywords"])
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return self.create_text_message(text=results)
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# Create rich markdown content for each news item
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markdown_result = "\n\n"
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json_result = []
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for res in response:
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markdown_result += f"### {res.get('title', 'Untitled')}\n\n"
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if res.get('date'):
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markdown_result += f"**Date:** {res.get('date')}\n\n"
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if res.get('body'):
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markdown_result += f"{res.get('body')}\n\n"
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if res.get('source'):
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markdown_result += f"*Source: {res.get('source')}*\n\n"
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if res.get('image'):
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markdown_result += f"![{res.get('title', '')}]({res.get('image')})\n\n"
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markdown_result += f"[Read more]({res.get('url', '')})\n\n---\n\n"
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json_result.append(self.create_json_message({
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"title": res.get("title", ""),
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"date": res.get("date", ""),
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"body": res.get("body", ""),
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"url": res.get("url", ""),
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"image": res.get("image", ""),
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"source": res.get("source", "")
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}))
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return [self.create_text_message(markdown_result)] + json_result
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def summary_results(self, user_id: str, content: str, query: str) -> str:
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prompt = SUMMARY_PROMPT.format(query=query, content=content)
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summary = self.invoke_model(
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user_id=user_id,
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prompt_messages=[
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SystemPromptMessage(content=prompt),
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],
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stop=[],
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)
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return summary.message.content
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identity:
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name: ddgo_news
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author: Assistant
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label:
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en_US: DuckDuckGo News Search
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zh_Hans: DuckDuckGo 新闻搜索
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description:
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human:
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en_US: Perform news searches on DuckDuckGo and get results.
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zh_Hans: 在 DuckDuckGo 上进行新闻搜索并获取结果。
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llm: Perform news searches on DuckDuckGo and get results.
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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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human_description:
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en_US: Search Query.
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zh_Hans: 搜索查询语句。
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llm_description: Key words for searching
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form: llm
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- name: max_results
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type: number
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required: true
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default: 5
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label:
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en_US: Max Results
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zh_Hans: 最大结果数量
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human_description:
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en_US: The Max Results
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zh_Hans: 最大结果数量
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form: form
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- name: timelimit
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type: select
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required: false
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options:
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- value: Day
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label:
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en_US: Current Day
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zh_Hans: 当天
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- value: Week
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label:
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en_US: Current Week
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zh_Hans: 本周
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- value: Month
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label:
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en_US: Current Month
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zh_Hans: 当月
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- value: Year
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label:
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en_US: Current Year
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zh_Hans: 今年
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label:
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en_US: Result Time Limit
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zh_Hans: 结果时间限制
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human_description:
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en_US: Use when querying results within a specific time range only.
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zh_Hans: 只查询一定时间范围内的结果时使用
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form: form
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- name: require_summary
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type: boolean
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default: false
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label:
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en_US: Require Summary
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zh_Hans: 是否总结
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human_description:
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en_US: Whether to pass the news results to llm for summarization.
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zh_Hans: 是否需要将新闻结果传给大模型总结
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form: form
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@ -0,0 +1,61 @@
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from typing import Any
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from duckduckgo_search import DDGS
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from core.tools.entities.tool_entities import ToolInvokeMessage
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from core.tools.tool.builtin_tool import BuiltinTool
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class DuckDuckGoVideoSearchTool(BuiltinTool):
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"""
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Tool for performing a video search using DuckDuckGo search engine.
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"""
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def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> list[ToolInvokeMessage]:
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query_dict = {
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"keywords": tool_parameters.get("query"),
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"region": tool_parameters.get("region", "wt-wt"),
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"safesearch": tool_parameters.get("safesearch", "moderate"),
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"timelimit": tool_parameters.get("timelimit"),
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"resolution": tool_parameters.get("resolution"),
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"duration": tool_parameters.get("duration"),
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"license_videos": tool_parameters.get("license_videos"),
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"max_results": tool_parameters.get("max_results"),
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}
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# Remove None values to use API defaults
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query_dict = {k: v for k, v in query_dict.items() if v is not None}
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response = DDGS().videos(**query_dict)
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# Create HTML result with embedded iframes
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markdown_result = "\n\n"
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json_result = []
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for res in response:
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title = res.get('title', '')
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embed_html = res.get('embed_html', '')
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description = res.get('description', '')
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# Modify iframe to be responsive
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if embed_html:
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# Replace fixed dimensions with responsive wrapper and iframe
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embed_html = """
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<div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; max-width: 100%; border-radius: 8px;">
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<iframe
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style="position: absolute; top: 0; left: 0; width: 100%; height: 100%;"
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src="{src}"
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frameborder="0"
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allowfullscreen>
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</iframe>
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</div>""".format(
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src=res.get('embed_url', '')
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)
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markdown_result += f"{title}\n\n"
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markdown_result += f"{embed_html}\n\n"
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markdown_result += "---\n\n"
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json_result.append(self.create_json_message(res))
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return [self.create_text_message(markdown_result)] + json_result
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identity:
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name: ddgo_video
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author: Assistant
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label:
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en_US: DuckDuckGo Video Search
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zh_Hans: DuckDuckGo 视频搜索
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description:
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human:
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en_US: Perform video searches on DuckDuckGo and get results with embedded videos.
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zh_Hans: 在 DuckDuckGo 上进行视频搜索并获取可嵌入的视频结果。
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llm: Perform video searches on DuckDuckGo and get results with embedded videos.
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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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human_description:
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en_US: Search Query
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zh_Hans: 搜索查询语句。
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llm_description: Key words for searching
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form: llm
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- name: max_results
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type: number
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required: true
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default: 3
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minimum: 1
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maximum: 10
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label:
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en_US: Max Results
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zh_Hans: 最大结果数量
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human_description:
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en_US: The max results (1-10).
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zh_Hans: 最大结果数量(1-10)。
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form: form
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- name: timelimit
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type: select
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required: false
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options:
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- value: Day
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label:
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en_US: Current Day
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zh_Hans: 当天
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- value: Week
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label:
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en_US: Current Week
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zh_Hans: 本周
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- value: Month
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label:
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en_US: Current Month
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zh_Hans: 当月
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- value: Year
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label:
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en_US: Current Year
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zh_Hans: 今年
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label:
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en_US: Result Time Limit
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zh_Hans: 结果时间限制
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human_description:
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en_US: Use when querying results within a specific time range only.
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zh_Hans: 只查询一定时间范围内的结果时使用
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form: form
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- name: duration
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type: select
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required: false
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options:
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- value: short
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label:
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en_US: Short (<4 minutes)
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zh_Hans: 短视频(<4分钟)
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- value: medium
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label:
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en_US: Medium (4-20 minutes)
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zh_Hans: 中等(4-20分钟)
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- value: long
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label:
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en_US: Long (>20 minutes)
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zh_Hans: 长视频(>20分钟)
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label:
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en_US: Video Duration
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zh_Hans: 视频时长
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human_description:
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en_US: Filter videos by duration
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zh_Hans: 按时长筛选视频
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form: form
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@ -265,7 +265,7 @@ export function Markdown(props: { content: string; className?: string }) {
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}
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},
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]}
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disallowedElements={['script', 'iframe', 'head', 'html', 'meta', 'link', 'style', 'body']}
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disallowedElements={['script', 'head', 'html', 'meta', 'link', 'style', 'body']}
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components={{
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code: CodeBlock,
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img: Img,
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