59 lines
2.0 KiB
Python
59 lines
2.0 KiB
Python
"""Agent tools: local KB search (ChromaDB) and web search (Tavily)."""
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import os
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from langchain.tools import tool
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from vectorstore import similarity_search
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@tool
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def search_local_kb(query: str, top_k: int = 5) -> str:
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"""Search the local ChromaDB knowledge base for relevant information.
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Use this when the question may be answered from locally stored documents.
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Args:
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query: natural language search query
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top_k: number of results to return (default 5)
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Returns:
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numbered list of relevant passages, or a message if nothing found
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"""
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docs = similarity_search(query, k=top_k)
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if not docs:
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return "No relevant documents found in local knowledge base."
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results = "\n\n".join(
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f"{i + 1}. {doc.page_content}" for i, doc in enumerate(docs)
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)
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return f"[Source: Local KB]\n{results}"
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@tool
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def web_search(query: str) -> str:
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"""Search the web for current information using Tavily.
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Use this when the question requires up-to-date or general knowledge
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not available in the local knowledge base.
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Args:
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query: search query string
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Returns:
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web search results with titles, URLs and excerpts
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"""
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try:
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from tavily import TavilyClient
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api_key = os.getenv("TAVILY_API_KEY", "")
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if not api_key:
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return "[Source: Web] Tavily API key not set. Add TAVILY_API_KEY to .env"
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client = TavilyClient(api_key=api_key)
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response = client.search(query, max_results=5)
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items = response.get("results", [])
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if not items:
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return "[Source: Web] No results found."
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lines = []
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for i, r in enumerate(items, 1):
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title = r.get("title", "No title")
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url = r.get("url", "")
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snippet = r.get("content", "")[:300]
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lines.append(f"{i}. {title}\n URL: {url}\n {snippet}")
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return "[Source: Web]\n" + "\n\n".join(lines)
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except Exception as e:
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return f"[Source: Web] Search error: {e}"
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