Files
lijiaoqiao/llm-gateway-competitors/litellm-wheel-src/litellm/llms/perplexity/search/transformation.py
2026-03-26 20:06:14 +08:00

166 lines
5.3 KiB
Python

"""
Calls Perplexity's /search endpoint to search the web.
"""
from typing import Dict, List, Optional, TypedDict, Union
import httpx
from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
from litellm.llms.base_llm.search.transformation import (
BaseSearchConfig,
SearchResponse,
SearchResult,
)
from litellm.secret_managers.main import get_secret_str
class _PerplexitySearchRequestRequired(TypedDict):
"""Required fields for Perplexity Search API request."""
query: Union[str, List[str]] # Required - search query or queries
class PerplexitySearchRequest(_PerplexitySearchRequestRequired, total=False):
"""
Perplexity Search API request format.
Based on: https://docs.perplexity.ai/api-reference/search-post
"""
max_results: int # Optional - maximum number of results (1-20), default 10
search_domain_filter: List[str] # Optional - list of domains to filter (max 20)
max_tokens_per_page: int # Optional - max tokens per page, default 1024
country: str # Optional - country code filter (e.g., 'US', 'GB', 'DE')
class PerplexitySearchConfig(BaseSearchConfig):
PERPLEXITY_API_BASE = "https://api.perplexity.ai"
@staticmethod
def ui_friendly_name() -> str:
return "Perplexity"
def validate_environment(
self,
headers: Dict,
api_key: Optional[str] = None,
api_base: Optional[str] = None,
**kwargs,
) -> Dict:
"""
Validate environment and return headers.
"""
api_key = api_key or get_secret_str("PERPLEXITYAI_API_KEY")
if not api_key:
raise ValueError(
"PERPLEXITYAI_API_KEY is not set. Set `PERPLEXITYAI_API_KEY` environment variable."
)
headers["Authorization"] = f"Bearer {api_key}"
headers["Content-Type"] = "application/json"
return headers
def get_complete_url(
self,
api_base: Optional[str],
optional_params: dict,
data: Optional[Union[Dict, List[Dict]]] = None,
**kwargs,
) -> str:
"""
Get complete URL for Search endpoint.
"""
api_base = (
api_base
or get_secret_str("PERPLEXITY_API_BASE")
or self.PERPLEXITY_API_BASE
)
# append "/search" to the api base if it's not already there
if not api_base.endswith("/search"):
api_base = f"{api_base}/search"
return api_base
def transform_search_request(
self,
query: Union[str, List[str]],
optional_params: dict,
**kwargs,
) -> Dict:
"""
Transform Search request to Perplexity API format.
Note: LiteLLM's native spec is the perplexity search spec.
There's no transformation needed for the request data.
https://docs.perplexity.ai/api-reference/search-post
Args:
query: Search query (string or list of strings)
optional_params: Optional parameters for the request
- max_results: Maximum number of search results (1-20)
- search_domain_filter: List of domains to filter (max 20)
- max_tokens_per_page: Max tokens per page (default 1024)
- country: Country code filter (e.g., 'US', 'GB', 'DE')
Returns:
Dict with typed request data following PerplexitySearchRequest spec
"""
request_data: PerplexitySearchRequest = {
"query": query,
}
# Add optional parameters following Perplexity API spec (only if not None)
max_results = optional_params.get("max_results")
if max_results is not None:
request_data["max_results"] = max_results
search_domain_filter = optional_params.get("search_domain_filter")
if search_domain_filter is not None:
request_data["search_domain_filter"] = search_domain_filter
max_tokens_per_page = optional_params.get("max_tokens_per_page")
if max_tokens_per_page is not None:
request_data["max_tokens_per_page"] = max_tokens_per_page
country = optional_params.get("country")
if country is not None:
request_data["country"] = country
return dict(request_data)
def transform_search_response(
self,
raw_response: httpx.Response,
logging_obj: LiteLLMLoggingObj,
**kwargs,
) -> SearchResponse:
"""
Transform Perplexity API response to standard SearchResponse format.
Args:
raw_response: Raw httpx response from Perplexity API
logging_obj: Logging object for tracking
Returns:
SearchResponse with standardized format
"""
response_json = raw_response.json()
# Transform results to SearchResult objects
results = []
for result in response_json.get("results", []):
search_result = SearchResult(
title=result.get("title", ""),
url=result.get("url", ""),
snippet=result.get("snippet", ""),
date=result.get("date"),
last_updated=result.get("last_updated"),
)
results.append(search_result)
return SearchResponse(
results=results,
object="search",
)