Update tools and dependency

.env sample

@@ -1,3 +1,4 @@
 OPENAI_KEY=
 OPENAI_ENDPOINT=
-OPENWEATHER_KEY=
+OPENWEATHER_KEY=
+TAVILY_KEY=

Alfred_Agent.py

@@ -45,6 +45,7 @@ from langgraph.graph import START, StateGraph
 from langgraph.prebuilt import tools_condition
 from langchain_openai import ChatOpenAI
 from Webserch_tool import search_tool,weather_info_tool
+from other_tools import wiki_search, arvix_search, web_search
 import os
 from dotenv import load_dotenv
 load_dotenv()
@@ -52,7 +53,7 @@ load_dotenv()
 llm = ChatOpenAI(temperature=0
                    , model="gpt-4o-mini", openai_api_key=os.getenv("OPENAI_KEY"))
 
-tools = [guest_info_tool,search_tool,weather_info_tool]
+tools = [guest_info_tool,search_tool,weather_info_tool,wiki_search,arvix_search,web_search]
 chat_with_tools = llm.bind_tools(tools)
 
 # Generate the AgentState and Agent graph

other_tools.py

@@ -0,0 +1,45 @@
+
+from langchain_community.document_loaders import WikipediaLoader
+def wiki_search(query: str) -> str:
+    """Search Wikipedia for a query and return maximum 2 results.
+    
+    Args:
+        query: The search query."""
+    search_docs = WikipediaLoader(query=query, load_max_docs=2).load()
+    formatted_search_docs = "\n\n---\n\n".join(
+        [
+            f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>\n{doc.page_content}\n</Document>'
+            for doc in search_docs
+        ])
+    return {"wiki_results": formatted_search_docs}
+
+
+
+from langchain_community.document_loaders import ArxivLoader
+def arvix_search(query: str) -> str:
+    """Search Arxiv for a query and return maximum 3 result.
+    
+    Args:
+        query: The search query."""
+    search_docs = ArxivLoader(query=query, load_max_docs=3).load()
+    formatted_search_docs = "\n\n---\n\n".join(
+        [
+            f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>\n{doc.page_content[:1000]}\n</Document>'
+            for doc in search_docs
+        ])
+    return {"arvix_results": formatted_search_docs}
+
+
+from langchain_community.tools.tavily_search import TavilySearchResults
+def web_search(query: str) -> str:
+    """Search Tavily for a query and return maximum 3 results.
+    
+    Args:
+        query: The search query."""
+    search_docs = TavilySearchResults(max_results=3).invoke(query=query)
+    formatted_search_docs = "\n\n---\n\n".join(
+        [
+            f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>\n{doc.page_content}\n</Document>'
+            for doc in search_docs
+        ])
+    return {"web_results": formatted_search_docs}

pdm.lock

@@ -5,7 +5,7 @@
 groups = ["default"]
 strategy = ["inherit_metadata"]
 lock_version = "4.5.0"
-content_hash = "sha256:7d897c624862c0f5d78bd04991a5a3021c3254763618e02ec50e0e7c5d255944"
+content_hash = "sha256:d1b978f5c5889ca1859fe0ed1e488dcb2e81f11d054248bf21c48daccbdc55af"
 
 [[metadata.targets]]
 requires_python = "==3.12.*"
@@ -113,6 +113,21 @@ files = [
     {file = "anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028"},
 ]
 
+[[package]]
+name = "arxiv"
+version = "2.2.0"
+requires_python = ">=3.7"
+summary = "Python wrapper for the arXiv API: https://arxiv.org/help/api/"
+groups = ["default"]
+dependencies = [
+    "feedparser~=6.0.10",
+    "requests~=2.32.0",
+]
+files = [
+    {file = "arxiv-2.2.0-py3-none-any.whl", hash = "sha256:545b8af5ab301efff7697cd112b5189e631b80521ccbc33fbc1e1f9cff63ca4d"},
+    {file = "arxiv-2.2.0.tar.gz", hash = "sha256:6072a2211e95697092ef32acde0144d7de2cfa71208e2751724316c9df322cc0"},
+]
+
 [[package]]
 name = "attrs"
 version = "25.3.0"
@@ -318,6 +333,20 @@ files = [
     {file = "fastapi-0.115.12.tar.gz", hash = "sha256:1e2c2a2646905f9e83d32f04a3f86aff4a286669c6c950ca95b5fd68c2602681"},
 ]
 
+[[package]]
+name = "feedparser"
+version = "6.0.11"
+requires_python = ">=3.6"
+summary = "Universal feed parser, handles RSS 0.9x, RSS 1.0, RSS 2.0, CDF, Atom 0.3, and Atom 1.0 feeds"
+groups = ["default"]
+dependencies = [
+    "sgmllib3k",
+]
+files = [
+    {file = "feedparser-6.0.11-py3-none-any.whl", hash = "sha256:0be7ee7b395572b19ebeb1d6aafb0028dee11169f1c934e0ed67d54992f4ad45"},
+    {file = "feedparser-6.0.11.tar.gz", hash = "sha256:c9d0407b64c6f2a065d0ebb292c2b35c01050cc0dc33757461aaabdc4c4184d5"},
+]
+
 [[package]]
 name = "ffmpy"
 version = "0.5.0"
@@ -1517,6 +1546,23 @@ files = [
     {file = "pygments-2.19.1.tar.gz", hash = "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f"},
 ]
 
+[[package]]
+name = "pymupdf"
+version = "1.25.5"
+requires_python = ">=3.9"
+summary = "A high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents."
+groups = ["default"]
+files = [
+    {file = "pymupdf-1.25.5-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:cde4e1c9cfb09c0e1e9c2b7f4b787dd6bb34a32cfe141a4675e24af7c0c25dd3"},
+    {file = "pymupdf-1.25.5-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:5a35e2725fae0ab57f058dff77615c15eb5961eac50ba04f41ebc792cd8facad"},
+    {file = "pymupdf-1.25.5-cp39-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d94b800e9501929c42283d39bc241001dd87fdeea297b5cb40d5b5714534452f"},
+    {file = "pymupdf-1.25.5-cp39-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ee22155d3a634642d76553204867d862ae1bdd9f7cf70c0797d8127ebee6bed5"},
+    {file = "pymupdf-1.25.5-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:6ed7fc25271004d6d3279c20a80cb2bb4cda3efa9f9088dcc07cd790eca0bc63"},
+    {file = "pymupdf-1.25.5-cp39-abi3-win32.whl", hash = "sha256:65e18ddb37fe8ec4edcdbebe9be3a8486b6a2f42609d0a142677e42f3a0614f8"},
+    {file = "pymupdf-1.25.5-cp39-abi3-win_amd64.whl", hash = "sha256:7f44bc3d03ea45b2f68c96464f96105e8c7908896f2fb5e8c04f1fb8dae7981e"},
+    {file = "pymupdf-1.25.5.tar.gz", hash = "sha256:5f96311cacd13254c905f6654a004a0a2025b71cabc04fda667f5472f72c15a0"},
+]
+
 [[package]]
 name = "python-dateutil"
 version = "2.9.0.post0"
@@ -1821,6 +1867,15 @@ files = [
     {file = "setuptools-80.7.1.tar.gz", hash = "sha256:f6ffc5f0142b1bd8d0ca94ee91b30c0ca862ffd50826da1ea85258a06fd94552"},
 ]
 
+[[package]]
+name = "sgmllib3k"
+version = "1.0.0"
+summary = "Py3k port of sgmllib."
+groups = ["default"]
+files = [
+    {file = "sgmllib3k-1.0.0.tar.gz", hash = "sha256:7868fb1c8bfa764c1ac563d3cf369c381d1325d36124933a726f29fcdaa812e9"},
+]
+
 [[package]]
 name = "shellingham"
 version = "1.5.4"

pyproject.toml

@@ -5,7 +5,7 @@ description = "Default template for PDM package"
 authors = [
     {name = "Supphawit_Golf", email = "supphawit.n@gmail.com"},
 ]
-dependencies = ["langchain>=0.3.25", "huggingface-hub>=0.31.2", "pandas>=2.2.3", "langgraph>=0.4.5", "langchain-openai>=0.3.17", "dotenv>=0.9.9", "datasets>=3.6.0", "langchain-community>=0.3.24", "rank-bm25>=0.2.2", "langchain-huggingface>=0.2.0", "duckduckgo-search>=8.0.2", "requests>=2.32.3", "gradio>=5.29.1"]
+dependencies = ["langchain>=0.3.25", "huggingface-hub>=0.31.2", "pandas>=2.2.3", "langgraph>=0.4.5", "langchain-openai>=0.3.17", "dotenv>=0.9.9", "datasets>=3.6.0", "langchain-community>=0.3.24", "rank-bm25>=0.2.2", "langchain-huggingface>=0.2.0", "duckduckgo-search>=8.0.2", "requests>=2.32.3", "gradio>=5.29.1", "arxiv>=2.2.0", "pymupdf>=1.25.5"]
 requires-python = "==3.12.*"
 readme = "README.md"
 license = {text = "MIT"}