mirror of https://github.com/dapr/dapr-agents.git
74 lines
2.6 KiB
Python
74 lines
2.6 KiB
Python
from typing import List, Dict, Any
|
|
from pydantic import BaseModel, Field, ConfigDict
|
|
from dapr_agents.storage.vectorstores import VectorStoreBase
|
|
import logging
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
class VectorToolStore(BaseModel):
|
|
"""
|
|
Manages tool information within a vector store, providing methods for adding tools and
|
|
retrieving similar tools based on queries.
|
|
"""
|
|
|
|
vector_store: VectorStoreBase = Field(
|
|
..., description="The vector store instance for tool data storage."
|
|
)
|
|
|
|
model_config = ConfigDict(arbitrary_types_allowed=True)
|
|
|
|
def add_tools(self, tools: List[Dict[str, Any]]):
|
|
"""
|
|
Adds tool information to the vector store.
|
|
|
|
Args:
|
|
tools (List[Dict[str, Any]]): A list of dictionaries representing tools, each containing
|
|
definitions and optional metadata for each tool.
|
|
"""
|
|
logger.info("Adding tools to Vector Tool Store.")
|
|
|
|
documents = []
|
|
metadatas = []
|
|
|
|
for tool in tools:
|
|
func_name = tool["definition"]["function"]["name"]
|
|
description = tool["definition"]["function"]["description"]
|
|
parameters = tool["definition"]["function"]["parameters"]
|
|
|
|
# Prepare the document for each tool
|
|
documents.append(f"{func_name}: {description}. Args schema: {parameters}")
|
|
|
|
# Prepare metadata, ensuring 'name' is always set
|
|
metadata = tool.get("metadata", {}).copy()
|
|
metadata.setdefault("name", func_name) # Ensure name is set in metadata
|
|
metadatas.append(metadata)
|
|
|
|
self.vector_store.add(documents=documents, metadatas=metadatas)
|
|
|
|
def get_similar_tools(self, query_texts: str, k: int = 4) -> List[Dict[str, Any]]:
|
|
"""
|
|
Retrieves tools from the vector store similar to the query text.
|
|
|
|
Args:
|
|
query_texts (str): The query string to find similar tools.
|
|
k (int): The number of similar results to return. Defaults to 4.
|
|
|
|
Returns:
|
|
List[Dict[str, Any]]: List of similar tool entries based on the query.
|
|
"""
|
|
logger.info(f"Searching for tools similar to query: {query_texts}")
|
|
similar_docs = self.vector_store.search_similar(query_texts=query_texts, k=k)
|
|
return similar_docs
|
|
|
|
def get_tool_names(self) -> List[str]:
|
|
"""
|
|
Retrieves the names of all tools stored in the vector store.
|
|
|
|
Returns:
|
|
List[str]: A list of tool names.
|
|
"""
|
|
logger.info("Retrieving all tool names from Vector Tool Store.")
|
|
tools = self.vector_store.get()
|
|
return [tool["metadata"]["name"] for tool in tools]
|