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import logging | |
from dataclasses import dataclass | |
from typing import Optional | |
import requests | |
from open_webui.env import SRC_LOG_LEVELS | |
from open_webui.retrieval.web.main import SearchResult | |
log = logging.getLogger(__name__) | |
log.setLevel(SRC_LOG_LEVELS["RAG"]) | |
EXA_API_BASE = "https://api.exa.ai" | |
class ExaResult: | |
url: str | |
title: str | |
text: str | |
def search_exa( | |
api_key: str, | |
query: str, | |
count: int, | |
filter_list: Optional[list[str]] = None, | |
) -> list[SearchResult]: | |
"""Search using Exa Search API and return the results as a list of SearchResult objects. | |
Args: | |
api_key (str): A Exa Search API key | |
query (str): The query to search for | |
count (int): Number of results to return | |
filter_list (Optional[list[str]]): List of domains to filter results by | |
""" | |
log.info(f"Searching with Exa for query: {query}") | |
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"} | |
payload = { | |
"query": query, | |
"numResults": count or 5, | |
"includeDomains": filter_list, | |
"contents": {"text": True, "highlights": True}, | |
"type": "auto", # Use the auto search type (keyword or neural) | |
} | |
try: | |
response = requests.post( | |
f"{EXA_API_BASE}/search", headers=headers, json=payload | |
) | |
response.raise_for_status() | |
data = response.json() | |
results = [] | |
for result in data["results"]: | |
results.append( | |
ExaResult( | |
url=result["url"], | |
title=result["title"], | |
text=result["text"], | |
) | |
) | |
log.info(f"Found {len(results)} results") | |
return [ | |
SearchResult( | |
link=result.url, | |
title=result.title, | |
snippet=result.text, | |
) | |
for result in results | |
] | |
except Exception as e: | |
log.error(f"Error searching Exa: {e}") | |
return [] | |