Update src/tools.py

This commit is contained in:
2026-06-05 10:25:30 +00:00
parent 8ef1f7756b
commit 51c9b701b8
+18 -16
View File
@@ -1,22 +1,24 @@
"""Agent tools for interacting with the knowledge base. """Tools for the RAG agent.
This module defines two tools that can be used by the LangChain agent: This module defines two tools that the agent can call:
* ``search_knowledge_base`` performs a semantic search in the Qdrant vector store. * ``search_knowledge_base`` performs a semantic search in the Qdrant vector store.
* ``add_to_knowledge_base`` adds a new document (title + content) to the store. * ``add_to_knowledge_base`` adds a document to the store.
Both tools are decorated with ``@tool`` from ``langchain.tools`` so that they can be Both tools are decorated with ``@tool`` from ``langchain.tools`` so that the LLM can invoke them.
exposed to the agent.
""" """
from __future__ import annotations
from typing import List, Dict, Any from typing import List, Dict, Any
from langchain.tools import tool from langchain.tools import tool
# Import the knowledge base implementation.
from .vector_store import KnowledgeBase from .vector_store import KnowledgeBase
# Create a single global knowledge base instance that all tools will use. # Create a global knowledge base instance. In a real application you might
# In a real deployment you might want to inject this via dependency injection. # want to inject this via a dependency injection container.
kb = KnowledgeBase() kb = KnowledgeBase()
@tool("search_knowledge_base") @tool("search_knowledge_base")
@@ -26,32 +28,32 @@ def search_knowledge_base(query: str, max_results: int = 5) -> List[Dict[str, An
Parameters Parameters
---------- ----------
query: str query: str
The search query. Search query.
max_results: int, optional max_results: int
Number of top results to return. Defaults to 5. Number of results to return.
Returns Returns
------- -------
List[Dict[str, Any]] list[dict]
A list of dictionaries containing ``content``, ``title``, ``chunk_index`` and ``score``. List of dictionaries with ``content``, ``title`` and ``chunk_index``.
""" """
return kb.search(query, max_results) return kb.search(query, limit=max_results)
@tool("add_to_knowledge_base") @tool("add_to_knowledge_base")
def add_to_knowledge_base(content: str, title: str) -> str: def add_to_knowledge_base(content: str, title: str) -> str:
"""Add a new document to the knowledge base. """Add a document to the knowledge base.
Parameters Parameters
---------- ----------
content: str content: str
Full text of the document. Full text of the document.
title: str title: str
Title or name of the document. Title or identifier for the document.
Returns Returns
------- -------
str str
Confirmation message. Confirmation message.
""" """
kb.add_document(content, title) kb.add_document(title=title, content=content)
return f"Document '{title}' added to the knowledge base." return f"Document '{title}' added to the knowledge base."