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Add perplexity search as a new tool (#7861)
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parent
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commit
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- google
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- bing
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- perplexity
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- duckduckgo
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- searchapi
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- serper
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<svg width="400" height="400" viewBox="0 0 400 400" fill="none" xmlns="http://www.w3.org/2000/svg">
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<path fill-rule="evenodd" clip-rule="evenodd" d="M101.008 42L190.99 124.905L190.99 124.886L190.99 42.1913H208.506L208.506 125.276L298.891 42V136.524L336 136.524V272.866H299.005V357.035L208.506 277.525L208.506 357.948H190.99L190.99 278.836L101.11 358V272.866H64V136.524H101.008V42ZM177.785 153.826H81.5159V255.564H101.088V223.472L177.785 153.826ZM118.625 231.149V319.392L190.99 255.655L190.99 165.421L118.625 231.149ZM209.01 254.812V165.336L281.396 231.068V272.866H281.489V318.491L209.01 254.812ZM299.005 255.564H318.484V153.826L222.932 153.826L299.005 222.751V255.564ZM281.375 136.524V81.7983L221.977 136.524L281.375 136.524ZM177.921 136.524H118.524V81.7983L177.921 136.524Z" fill="black"/>
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</svg>
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After Width: | Height: | Size: 798 B |
46
api/core/tools/provider/builtin/perplexity/perplexity.py
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api/core/tools/provider/builtin/perplexity/perplexity.py
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from typing import Any
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import requests
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from core.tools.errors import ToolProviderCredentialValidationError
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from core.tools.provider.builtin.perplexity.tools.perplexity_search import PERPLEXITY_API_URL
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from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
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class PerplexityProvider(BuiltinToolProviderController):
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def _validate_credentials(self, credentials: dict[str, Any]) -> None:
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headers = {
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"Authorization": f"Bearer {credentials.get('perplexity_api_key')}",
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"Content-Type": "application/json"
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}
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payload = {
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"model": "llama-3.1-sonar-small-128k-online",
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"messages": [
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{
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"role": "system",
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"content": "You are a helpful assistant."
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},
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{
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"role": "user",
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"content": "Hello"
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}
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],
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"max_tokens": 5,
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"temperature": 0.1,
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"top_p": 0.9,
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"stream": False
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}
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try:
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response = requests.post(PERPLEXITY_API_URL, json=payload, headers=headers)
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response.raise_for_status()
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except requests.RequestException as e:
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raise ToolProviderCredentialValidationError(
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f"Failed to validate Perplexity API key: {str(e)}"
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)
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if response.status_code != 200:
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raise ToolProviderCredentialValidationError(
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f"Perplexity API key is invalid. Status code: {response.status_code}"
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)
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26
api/core/tools/provider/builtin/perplexity/perplexity.yaml
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api/core/tools/provider/builtin/perplexity/perplexity.yaml
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identity:
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author: Dify
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name: perplexity
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label:
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en_US: Perplexity
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zh_Hans: Perplexity
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description:
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en_US: Perplexity.AI
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zh_Hans: Perplexity.AI
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icon: icon.svg
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tags:
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- search
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credentials_for_provider:
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perplexity_api_key:
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type: secret-input
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required: true
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label:
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en_US: Perplexity API key
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zh_Hans: Perplexity API key
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placeholder:
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en_US: Please input your Perplexity API key
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zh_Hans: 请输入你的 Perplexity API key
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help:
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en_US: Get your Perplexity API key from Perplexity
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zh_Hans: 从 Perplexity 获取您的 Perplexity API key
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url: https://www.perplexity.ai/settings/api
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import json
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from typing import Any, Union
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import requests
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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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PERPLEXITY_API_URL = "https://api.perplexity.ai/chat/completions"
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class PerplexityAITool(BuiltinTool):
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def _parse_response(self, response: dict) -> dict:
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"""Parse the response from Perplexity AI API"""
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if 'choices' in response and len(response['choices']) > 0:
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message = response['choices'][0]['message']
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return {
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'content': message.get('content', ''),
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'role': message.get('role', ''),
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'citations': response.get('citations', [])
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}
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else:
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return {'content': 'Unable to get a valid response', 'role': 'assistant', 'citations': []}
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def _invoke(self,
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user_id: str,
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tool_parameters: dict[str, Any],
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) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
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headers = {
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"Authorization": f"Bearer {self.runtime.credentials['perplexity_api_key']}",
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"Content-Type": "application/json"
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}
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payload = {
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"model": tool_parameters.get('model', 'llama-3.1-sonar-small-128k-online'),
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"messages": [
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{
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"role": "system",
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"content": "Be precise and concise."
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},
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{
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"role": "user",
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"content": tool_parameters['query']
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}
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],
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"max_tokens": tool_parameters.get('max_tokens', 4096),
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"temperature": tool_parameters.get('temperature', 0.7),
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"top_p": tool_parameters.get('top_p', 1),
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"top_k": tool_parameters.get('top_k', 5),
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"presence_penalty": tool_parameters.get('presence_penalty', 0),
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"frequency_penalty": tool_parameters.get('frequency_penalty', 1),
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"stream": False
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}
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if 'search_recency_filter' in tool_parameters:
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payload['search_recency_filter'] = tool_parameters['search_recency_filter']
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if 'return_citations' in tool_parameters:
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payload['return_citations'] = tool_parameters['return_citations']
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if 'search_domain_filter' in tool_parameters:
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if isinstance(tool_parameters['search_domain_filter'], str):
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payload['search_domain_filter'] = [tool_parameters['search_domain_filter']]
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elif isinstance(tool_parameters['search_domain_filter'], list):
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payload['search_domain_filter'] = tool_parameters['search_domain_filter']
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response = requests.post(url=PERPLEXITY_API_URL, json=payload, headers=headers)
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response.raise_for_status()
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valuable_res = self._parse_response(response.json())
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return [
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self.create_json_message(valuable_res),
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self.create_text_message(json.dumps(valuable_res, ensure_ascii=False, indent=2))
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]
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identity:
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name: perplexity
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author: Dify
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label:
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en_US: Perplexity Search
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description:
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human:
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en_US: Search information using Perplexity AI's language models.
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llm: This tool is used to search information using Perplexity AI's language models.
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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
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zh_Hans: 查询
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human_description:
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en_US: The text query to be processed by the AI model.
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zh_Hans: 要由 AI 模型处理的文本查询。
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form: llm
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- name: model
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type: select
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required: false
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label:
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en_US: Model Name
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zh_Hans: 模型名称
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human_description:
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en_US: The Perplexity AI model to use for generating the response.
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zh_Hans: 用于生成响应的 Perplexity AI 模型。
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form: form
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default: "llama-3.1-sonar-small-128k-online"
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options:
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- value: llama-3.1-sonar-small-128k-online
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label:
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en_US: llama-3.1-sonar-small-128k-online
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zh_Hans: llama-3.1-sonar-small-128k-online
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- value: llama-3.1-sonar-large-128k-online
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label:
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en_US: llama-3.1-sonar-large-128k-online
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zh_Hans: llama-3.1-sonar-large-128k-online
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- value: llama-3.1-sonar-huge-128k-online
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label:
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en_US: llama-3.1-sonar-huge-128k-online
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zh_Hans: llama-3.1-sonar-huge-128k-online
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- name: max_tokens
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type: number
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required: false
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label:
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en_US: Max Tokens
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zh_Hans: 最大令牌数
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pt_BR: Máximo de Tokens
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human_description:
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en_US: The maximum number of tokens to generate in the response.
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zh_Hans: 在响应中生成的最大令牌数。
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pt_BR: O número máximo de tokens a serem gerados na resposta.
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form: form
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default: 4096
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min: 1
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max: 4096
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- name: temperature
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type: number
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required: false
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label:
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en_US: Temperature
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zh_Hans: 温度
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pt_BR: Temperatura
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human_description:
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en_US: Controls randomness in the output. Lower values make the output more focused and deterministic.
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zh_Hans: 控制输出的随机性。较低的值使输出更加集中和确定。
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form: form
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default: 0.7
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min: 0
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max: 1
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- name: top_k
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type: number
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required: false
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label:
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en_US: Top K
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zh_Hans: 取样数量
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human_description:
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en_US: The number of top results to consider for response generation.
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zh_Hans: 用于生成响应的顶部结果数量。
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form: form
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default: 5
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min: 1
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max: 100
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- name: top_p
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type: number
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required: false
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label:
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en_US: Top P
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zh_Hans: Top P
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human_description:
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en_US: Controls diversity via nucleus sampling.
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zh_Hans: 通过核心采样控制多样性。
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form: form
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default: 1
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min: 0.1
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max: 1
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step: 0.1
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- name: presence_penalty
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type: number
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required: false
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label:
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en_US: Presence Penalty
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zh_Hans: 存在惩罚
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human_description:
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en_US: Positive values penalize new tokens based on whether they appear in the text so far.
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zh_Hans: 正值会根据新词元是否已经出现在文本中来对其进行惩罚。
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form: form
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default: 0
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min: -1.0
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max: 1.0
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step: 0.1
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- name: frequency_penalty
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type: number
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required: false
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label:
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en_US: Frequency Penalty
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zh_Hans: 频率惩罚
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human_description:
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en_US: Positive values penalize new tokens based on their existing frequency in the text so far.
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zh_Hans: 正值会根据新词元在文本中已经出现的频率来对其进行惩罚。
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form: form
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default: 1
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min: 0.1
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max: 1.0
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step: 0.1
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- name: return_citations
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type: boolean
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required: false
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label:
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en_US: Return Citations
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zh_Hans: 返回引用
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human_description:
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en_US: Whether to return citations in the response.
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zh_Hans: 是否在响应中返回引用。
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form: form
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default: true
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- name: search_domain_filter
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type: string
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required: false
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label:
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en_US: Search Domain Filter
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zh_Hans: 搜索域过滤器
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human_description:
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en_US: Domain to filter the search results.
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zh_Hans: 用于过滤搜索结果的域名。
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form: form
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default: ""
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- name: search_recency_filter
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type: select
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required: false
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label:
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en_US: Search Recency Filter
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zh_Hans: 搜索时间过滤器
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human_description:
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en_US: Filter for search results based on recency.
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zh_Hans: 基于时间筛选搜索结果。
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form: form
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default: "month"
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options:
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- value: day
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label:
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en_US: Day
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zh_Hans: 天
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- value: week
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label:
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en_US: Week
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zh_Hans: 周
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- value: month
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label:
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en_US: Month
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zh_Hans: 月
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- value: year
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label:
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en_US: Year
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zh_Hans: 年
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