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| import logging | |
| from dataclasses import dataclass | |
| from typing import Optional | |
| import requests | |
| from open_webui.retrieval.web.main import SearchResult | |
| log = logging.getLogger(__name__) | |
| 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 [] | |