Add duckduckgo as search tool
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6
litellm/llms/duckduckgo/search/__init__.py
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6
litellm/llms/duckduckgo/search/__init__.py
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"""
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DuckDuckGo Search API module.
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"""
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from litellm.llms.duckduckgo.search.transformation import DuckDuckGoSearchConfig
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__all__ = ["DuckDuckGoSearchConfig"]
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litellm/llms/duckduckgo/search/transformation.py
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litellm/llms/duckduckgo/search/transformation.py
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"""
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Calls DuckDuckGo's Instant Answer API to search the web.
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DuckDuckGo API Reference: https://duckduckgo.com/api
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"""
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from typing import Dict, List, Literal, Optional, TypedDict, Union
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import httpx
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from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
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from litellm.llms.base_llm.search.transformation import (
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BaseSearchConfig,
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SearchResponse,
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SearchResult,
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)
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from litellm.secret_managers.main import get_secret_str
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class _DuckDuckGoSearchRequestRequired(TypedDict):
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"""Required fields for DuckDuckGo Search API request."""
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q: str # Required - search query
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class DuckDuckGoSearchRequest(_DuckDuckGoSearchRequestRequired, total=False):
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"""
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DuckDuckGo Instant Answer API request format.
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Based on: https://duckduckgo.com/api
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"""
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format: str # Optional - output format ('json', 'xml'), default 'json'
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pretty: int # Optional - pretty print (0 or 1), default 1
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no_redirect: int # Optional - skip HTTP redirects (0 or 1), default 0
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no_html: int # Optional - remove HTML from text (0 or 1), default 0
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skip_disambig: int # Optional - skip disambiguation results (0 or 1), default 0
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class DuckDuckGoSearchConfig(BaseSearchConfig):
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DUCKDUCKGO_API_BASE = "https://api.duckduckgo.com"
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@staticmethod
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def ui_friendly_name() -> str:
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return "DuckDuckGo"
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def get_http_method(self) -> Literal["GET", "POST"]:
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"""
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Get HTTP method for search requests.
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DuckDuckGo Instant Answer API uses GET requests.
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Returns:
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HTTP method 'GET'
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"""
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return "GET"
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def validate_environment(
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self,
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headers: Dict,
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api_key: Optional[str] = None,
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api_base: Optional[str] = None,
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**kwargs,
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) -> Dict:
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"""
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Validate environment and return headers.
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DuckDuckGo Instant Answer API does not require authentication.
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"""
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# DuckDuckGo API is free and doesn't require API key
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headers["Content-Type"] = "application/json"
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return headers
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def get_complete_url(
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self,
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api_base: Optional[str],
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optional_params: dict,
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data: Optional[Union[Dict, List[Dict]]] = None,
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**kwargs,
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) -> str:
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"""
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Get complete URL for Search endpoint.
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DuckDuckGo uses query parameters, so we construct the URL with the query.
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"""
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api_base = api_base or get_secret_str("DUCKDUCKGO_API_BASE") or self.DUCKDUCKGO_API_BASE
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# Ensure URL ends without trailing slash for query parameters
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if api_base.endswith("/"):
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api_base = api_base.rstrip("/")
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# Construct URL with query parameters
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if data and isinstance(data, dict):
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query_params = []
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for key, value in data.items():
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if isinstance(value, list):
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# Join list values with commas
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value = ",".join(str(v) for v in value)
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query_params.append(f"{key}={value}")
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if query_params:
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api_base = f"{api_base}/?{'&'.join(query_params)}"
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return api_base
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def transform_search_request(
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self,
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query: Union[str, List[str]],
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optional_params: dict,
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**kwargs,
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) -> Dict:
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"""
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Transform Search request to DuckDuckGo API format.
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Args:
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query: Search query (string or list of strings). DuckDuckGo only supports single string queries.
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optional_params: Optional parameters for the request
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- max_results: Maximum number of search results (DuckDuckGo API doesn't directly support this, used for filtering)
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- format: Output format ('json', 'xml')
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- pretty: Pretty print (0 or 1)
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- no_redirect: Skip HTTP redirects (0 or 1)
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- no_html: Remove HTML from text (0 or 1)
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- skip_disambig: Skip disambiguation results (0 or 1)
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Returns:
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Dict with typed request data following DuckDuckGoSearchRequest spec
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"""
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if isinstance(query, list):
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# DuckDuckGo only supports single string queries
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query = " ".join(query)
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request_data: DuckDuckGoSearchRequest = {
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"q": query,
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"format": "json", # Always use JSON format
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}
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# Store max_results for response filtering if provided
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if "max_results" in optional_params:
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# DuckDuckGo API doesn't support max_results directly
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# We'll filter the results in transform_search_response
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pass
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# Convert to dict before dynamic key assignments
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result_data = dict(request_data)
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# Pass through DuckDuckGo-specific parameters
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ddg_params = ["pretty", "no_redirect", "no_html", "skip_disambig"]
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for param in ddg_params:
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if param in optional_params:
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result_data[param] = optional_params[param]
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return result_data
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def transform_search_response(
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self,
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raw_response: httpx.Response,
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logging_obj: LiteLLMLoggingObj,
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**kwargs,
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) -> SearchResponse:
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"""
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Transform DuckDuckGo API response to LiteLLM unified SearchResponse format.
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DuckDuckGo → LiteLLM mappings:
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- RelatedTopics[].Text → SearchResult.title + snippet
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- RelatedTopics[].FirstURL → SearchResult.url
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- RelatedTopics[].Text → SearchResult.snippet
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- No date/last_updated fields in DuckDuckGo response (set to None)
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Args:
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raw_response: Raw httpx response from DuckDuckGo API
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logging_obj: Logging object for tracking
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Returns:
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SearchResponse with standardized format
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"""
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response_json = raw_response.json()
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# Transform results to SearchResult objects
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results = []
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# DuckDuckGo can return results in different fields
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# Priority: Abstract > Answer > RelatedTopics
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# Check if there's an Abstract with URL
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if response_json.get("AbstractURL") and response_json.get("AbstractText"):
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abstract_result = SearchResult(
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title=response_json.get("Heading", ""),
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url=response_json.get("AbstractURL", ""),
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snippet=response_json.get("AbstractText", ""),
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date=None,
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last_updated=None,
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)
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results.append(abstract_result)
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# Process RelatedTopics
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related_topics = response_json.get("RelatedTopics", [])
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for topic in related_topics:
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# RelatedTopics can contain nested topics or direct results
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if isinstance(topic, dict):
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# Check if it's a direct result
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if "FirstURL" in topic and "Text" in topic:
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# Extract title and snippet from Text
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# Text format is usually "Title - Snippet"
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text = topic.get("Text", "")
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url = topic.get("FirstURL", "")
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# Try to split title and snippet
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if " - " in text:
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parts = text.split(" - ", 1)
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title = parts[0]
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snippet = parts[1] if len(parts) > 1 else text
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else:
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title = text[:50] + "..." if len(text) > 50 else text
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snippet = text
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search_result = SearchResult(
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title=title,
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url=url,
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snippet=snippet,
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date=None,
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last_updated=None,
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)
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results.append(search_result)
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# Check if it contains nested topics
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elif "Topics" in topic:
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nested_topics = topic.get("Topics", [])
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for nested_topic in nested_topics:
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if "FirstURL" in nested_topic and "Text" in nested_topic:
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text = nested_topic.get("Text", "")
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url = nested_topic.get("FirstURL", "")
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# Try to split title and snippet
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if " - " in text:
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parts = text.split(" - ", 1)
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title = parts[0]
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snippet = parts[1] if len(parts) > 1 else text
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else:
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title = text[:50] + "..." if len(text) > 50 else text
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snippet = text
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search_result = SearchResult(
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title=title,
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url=url,
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snippet=snippet,
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date=None,
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last_updated=None,
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)
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results.append(search_result)
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# Apply max_results filtering if provided in kwargs
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max_results = kwargs.get("max_results")
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if max_results is not None and isinstance(max_results, int):
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results = results[:max_results]
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return SearchResponse(
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results=results,
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object="search",
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)
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@ -3197,7 +3197,7 @@ class SearchProviders(str, Enum):
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FIRECRAWL = "firecrawl"
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SEARXNG = "searxng"
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LINKUP = "linkup"
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DUCKDUCKGO = "duckduckgo"
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# Create a set of all search provider values for quick lookup
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SearchProvidersSet = {provider.value for provider in SearchProviders}
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@ -8771,6 +8771,7 @@ class ProviderConfigManager:
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"""
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from litellm.llms.brave.search.transformation import BraveSearchConfig
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from litellm.llms.dataforseo.search.transformation import DataForSEOSearchConfig
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from litellm.llms.duckduckgo.search.transformation import DuckDuckGoSearchConfig
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from litellm.llms.exa_ai.search.transformation import ExaAISearchConfig
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from litellm.llms.firecrawl.search.transformation import FirecrawlSearchConfig
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from litellm.llms.google_pse.search.transformation import GooglePSESearchConfig
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@ -8793,6 +8794,7 @@ class ProviderConfigManager:
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SearchProviders.FIRECRAWL: FirecrawlSearchConfig,
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SearchProviders.SEARXNG: SearXNGSearchConfig,
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SearchProviders.LINKUP: LinkupSearchConfig,
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SearchProviders.DUCKDUCKGO: DuckDuckGoSearchConfig,
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}
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config_class = PROVIDER_TO_CONFIG_MAP.get(provider, None)
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if config_class is None:
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259
tests/search_tests/test_duckduckgo_search.py
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tests/search_tests/test_duckduckgo_search.py
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"""
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Tests for DuckDuckGo Search API integration.
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"""
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import os
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import sys
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import pytest
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from unittest.mock import AsyncMock, patch, MagicMock
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sys.path.insert(
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0, os.path.abspath("../..")
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)
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import litellm
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from tests.search_tests.base_search_unit_tests import BaseSearchTest
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class TestDuckDuckGoSearch(BaseSearchTest):
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"""
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Tests for DuckDuckGo Search functionality.
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"""
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def get_search_provider(self) -> str:
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"""
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Return search_provider for DuckDuckGo Search.
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"""
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return "duckduckgo"
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class TestDuckDuckGoSearchMocked:
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"""
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Tests for DuckDuckGo Search functionality with mocked network responses.
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"""
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@pytest.mark.asyncio
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async def test_duckduckgo_search_request_payload(self):
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"""
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Test that validates the DuckDuckGo search request payload structure without making real API calls.
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"""
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# Create a mock response matching DuckDuckGo API format
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mock_response = MagicMock()
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mock_response.status_code = 200
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mock_response.json.return_value = {
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"Abstract": "",
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"AbstractSource": "Wikipedia",
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"AbstractText": "Python is a high-level programming language.",
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"AbstractURL": "https://en.wikipedia.org/wiki/Python_(programming_language)",
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"Answer": "",
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"AnswerType": "",
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"Definition": "",
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"DefinitionSource": "",
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"DefinitionURL": "",
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"Entity": "",
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"Heading": "Python (programming language)",
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"Image": "",
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"ImageHeight": 0,
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"ImageIsLogo": 0,
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"ImageWidth": 0,
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"Infobox": "",
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"Redirect": "",
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"RelatedTopics": [
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{
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"FirstURL": "https://duckduckgo.com/Python_programming",
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"Icon": {
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"Height": "",
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"URL": "/i/python.png",
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"Width": ""
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},
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"Result": "<a href=\"https://duckduckgo.com/Python_programming\">Python Programming</a> A general-purpose programming language.",
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"Text": "Python Programming - A general-purpose programming language."
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},
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{
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"FirstURL": "https://duckduckgo.com/Python_packages",
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"Icon": {
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"Height": "",
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"URL": "",
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"Width": ""
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},
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"Result": "<a href=\"https://duckduckgo.com/Python_packages\">Python Packages</a> Package management in Python.",
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"Text": "Python Packages - Package management in Python."
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}
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],
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"Results": [],
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"Type": "A",
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"meta": {
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"attribution": None,
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"blockgroup": None,
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"created_date": None,
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"description": "Wikipedia",
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"designer": None,
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"dev_date": None,
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"dev_milestone": "live",
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"developer": [
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{
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"name": "DDG Team",
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"type": "ddg",
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"url": "http://www.duckduckhack.com"
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}
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],
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"example_query": "python programming",
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"id": "wikipedia_fathead",
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"is_stackexchange": None,
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"js_callback_name": "wikipedia",
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"live_date": None,
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"maintainer": {
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"github": "duckduckgo"
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},
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"name": "Wikipedia",
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"perl_module": "DDG::Fathead::Wikipedia",
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"producer": None,
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"production_state": "online",
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"repo": "fathead",
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"signal_from": "wikipedia_fathead",
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"src_domain": "en.wikipedia.org",
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"src_id": 1,
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"src_name": "Wikipedia",
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"src_options": {
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"directory": "",
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"is_fanon": 0,
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"is_mediawiki": 1,
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"is_wikipedia": 1,
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"language": "en",
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"min_abstract_length": "20",
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"skip_abstract": 0,
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"skip_abstract_paren": 0,
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"skip_end": "0",
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"skip_icon": 0,
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"skip_image_name": 0,
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"skip_qr": "",
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"source_skip": "",
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"src_info": ""
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},
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"src_url": None,
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"status": "live",
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"tab": "About",
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"topic": [
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"productivity"
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],
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"unsafe": 0
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}
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}
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# Mock the httpx AsyncClient get method (DuckDuckGo uses GET)
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with patch("litellm.llms.custom_httpx.http_handler.AsyncHTTPHandler.get", new_callable=AsyncMock) as mock_get:
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mock_get.return_value = mock_response
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# Make the search call
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response = await litellm.asearch(
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query="python programming",
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search_provider="duckduckgo",
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max_results=5
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)
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# Verify the get method was called once
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assert mock_get.call_count == 1
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# Get the actual call arguments
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call_args = mock_get.call_args
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# Verify URL contains the query
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url = call_args.kwargs["url"]
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assert "api.duckduckgo.com" in url
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assert "q=python" in url or "q=python%20programming" in url
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assert "format=json" in url
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# Verify response structure
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assert hasattr(response, "results")
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assert hasattr(response, "object")
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assert response.object == "search"
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assert len(response.results) > 0
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# Verify first result (Abstract)
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first_result = response.results[0]
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assert first_result.title == "Python (programming language)"
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assert first_result.url == "https://en.wikipedia.org/wiki/Python_(programming_language)"
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assert "Python is a high-level programming language" in first_result.snippet
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# Verify related topics are included
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assert len(response.results) >= 2 # Abstract + at least one related topic
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@pytest.mark.asyncio
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async def test_duckduckgo_search_disambiguation(self):
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"""
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Test handling of disambiguation results from DuckDuckGo.
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"""
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# Create a mock response with disambiguation type
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mock_response = MagicMock()
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mock_response.status_code = 200
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mock_response.json.return_value = {
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"Abstract": "",
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"AbstractSource": "Wikipedia",
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"AbstractText": "",
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"AbstractURL": "https://en.wikipedia.org/wiki/India_(disambiguation)",
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"Answer": "",
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"AnswerType": "",
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"Definition": "",
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"DefinitionSource": "",
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"DefinitionURL": "",
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"Entity": "",
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||||
"Heading": "India",
|
||||
"Image": "",
|
||||
"ImageHeight": 0,
|
||||
"ImageIsLogo": 0,
|
||||
"ImageWidth": 0,
|
||||
"Infobox": "",
|
||||
"Redirect": "",
|
||||
"RelatedTopics": [
|
||||
{
|
||||
"FirstURL": "https://duckduckgo.com/India",
|
||||
"Icon": {
|
||||
"Height": "",
|
||||
"URL": "/i/cef47a13.png",
|
||||
"Width": ""
|
||||
},
|
||||
"Result": "<a href=\"https://duckduckgo.com/India\">India</a> A country in South Asia.",
|
||||
"Text": "India - A country in South Asia."
|
||||
},
|
||||
{
|
||||
"Name": "Related Topics",
|
||||
"Topics": [
|
||||
{
|
||||
"FirstURL": "https://duckduckgo.com/d/Indus",
|
||||
"Icon": {
|
||||
"Height": "",
|
||||
"URL": "",
|
||||
"Width": ""
|
||||
},
|
||||
"Result": "<a href=\"https://duckduckgo.com/d/Indus\">Indus</a> See related meanings for the word 'Indus'.",
|
||||
"Text": "Indus - See related meanings for the word 'Indus'."
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"Results": [],
|
||||
"Type": "D",
|
||||
"meta": {}
|
||||
}
|
||||
|
||||
# Mock the httpx AsyncClient get method
|
||||
with patch("litellm.llms.custom_httpx.http_handler.AsyncHTTPHandler.get", new_callable=AsyncMock) as mock_get:
|
||||
mock_get.return_value = mock_response
|
||||
|
||||
# Make the search call
|
||||
response = await litellm.asearch(
|
||||
query="India",
|
||||
search_provider="duckduckgo"
|
||||
)
|
||||
|
||||
# Verify response structure
|
||||
assert hasattr(response, "results")
|
||||
assert hasattr(response, "object")
|
||||
assert response.object == "search"
|
||||
|
||||
# Should have results from both direct topics and nested topics
|
||||
assert len(response.results) >= 2
|
||||
|
||||
# Verify nested topics are processed
|
||||
urls = [result.url for result in response.results]
|
||||
assert any("India" in url for url in urls)
|
||||
assert any("Indus" in url for url in urls)
|
||||
Loading…
Reference in New Issue
Block a user