Merge branch 'kayvane1-align-search-tools' into vwp/align_search_tools

A minimal example of how to deploy LangChain to Fly.io using Flask.

langchain/tools/__init__.py

@@ -1,8 +1,10 @@
 """Core toolkit implementations."""
 
 from langchain.tools.base import BaseTool
-from langchain.tools.ddg_search.tool import DuckDuckGoSearchTool
+from langchain.tools.bing_search.tool import BingSearchResults, BingSearchRun
+from langchain.tools.ddg_search.tool import DuckDuckGoSearchResults, DuckDuckGoSearchRun
 from langchain.tools.google_places.tool import GooglePlacesTool
+from langchain.tools.google_search.tool import GoogleSearchResults, GoogleSearchRun
 from langchain.tools.ifttt import IFTTTWebhook
 from langchain.tools.openapi.utils.api_models import APIOperation
 from langchain.tools.openapi.utils.openapi_utils import OpenAPISpec

langchain/tools/bing_search/tool.py

@@ -22,3 +22,24 @@ class BingSearchRun(BaseTool):
     async def _arun(self, query: str) -> str:
         """Use the tool asynchronously."""
         raise NotImplementedError("BingSearchRun does not support async")
+
+
+class BingSearchResults(BaseTool):
+    """Tool that has capability to query the Bing Search API and get back json."""
+
+    name = "Bing Search Results JSON"
+    description = (
+        "A wrapper around Bing Search. "
+        "Useful for when you need to answer questions about current events. "
+        "Input should be a search query. Output is a JSON array of the query results"
+    )
+    num_results: int = 4
+    api_wrapper: BingSearchAPIWrapper
+
+    def _run(self, query: str) -> str:
+        """Use the tool."""
+        return str(self.api_wrapper.results(query, self.num_results))
+
+    async def _arun(self, query: str) -> str:
+        """Use the tool asynchronously."""
+        raise NotImplementedError("BingSearchResults does not support async")

langchain/tools/ddg_search/tool.py

@@ -4,9 +4,9 @@ from pydantic import Field
 
 from langchain.tools.base import BaseTool
 from langchain.utilities.duckduckgo_search import DuckDuckGoSearchAPIWrapper
+import warnings
 
-
-class DuckDuckGoSearchTool(BaseTool):
+class DuckDuckGoSearchRun(BaseTool):
     """Tool that adds the capability to query the DuckDuckGo search API."""
 
     name = "DuckDuckGo Search"
@@ -26,3 +26,34 @@ class DuckDuckGoSearchTool(BaseTool):
     async def _arun(self, query: str) -> str:
         """Use the tool asynchronously."""
         raise NotImplementedError("DuckDuckGoSearch does not support async")
+
+
+class DuckDuckGoSearchResults(BaseTool):
+    """Tool that has capability to query the Duck Duck Go Search API and get back json."""
+
+    name = "DuckDuckGo Results JSON"
+    description = (
+        "A wrapper around Duck Duck Go Search. "
+        "Useful for when you need to answer questions about current events. "
+        "Input should be a search query. Output is a JSON array of the query results"
+    )
+    num_results: int = 4
+    api_wrapper: DuckDuckGoSearchAPIWrapper = Field(
+        default_factory=DuckDuckGoSearchAPIWrapper
+    )
+
+    def _run(self, query: str) -> str:
+        """Use the tool."""
+        return str(self.api_wrapper.results(query, self.num_results))
+
+    async def _arun(self, query: str) -> str:
+        """Use the tool asynchronously."""
+        raise NotImplementedError("DuckDuckGoSearchResults does not support async")
+
+def DuckDuckGoSearchTool(*args, **kwargs):
+    warnings.warn(
+        "DuckDuckGoSearchTool will be deprecated in the future. "
+        "Please use DuckDuckGoSearchRun instead.",
+        DeprecationWarning,
+    )
+    return DuckDuckGoSearchRun(*args, **kwargs)

tests/integration_tests/utilities/test_duckduckdgo_search_api.py

@@ -1,6 +1,6 @@
 import pytest
 
-from langchain.tools.ddg_search.tool import DuckDuckGoSearchTool
+from langchain.tools.ddg_search.tool import DuckDuckGoSearchRun
 
 
 def ddg_installed() -> bool:
@@ -16,7 +16,7 @@ def ddg_installed() -> bool:
 @pytest.mark.skipif(not ddg_installed(), reason="requires duckduckgo-search package")
 def test_ddg_search_tool() -> None:
     keywords = "Bella Ciao"
-    tool = DuckDuckGoSearchTool()
+    tool = DuckDuckGoSearchRun()
     result = tool(keywords)
     print(result)
     assert len(result.split()) > 20