improve agent templates (#12528)

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>

templates/docs/INDEX.md

@@ -56,8 +56,8 @@ These templates use OSS models.
 Extract data in a structured format
 - [Extraction Using OpenAI Functions](../extraction-openai-functions): Extract information from text using OpenAI Function Calling.
 - [Extraction Using Anthropic Functions](../extraction-anthropic-functions): Extract information from text using a LangChain wrapper around the Anthropic endpoints intended to simulate function calling.
-- [Extract BioTech Plate Data](../plate-chain): Extract plate data from messy Excel spreadsheets into a more normalized format.
+- [Extract BioTech Plate Data](../plate-chain): Extract microplate data from messy Excel spreadsheets into a more normalized format.
 
 ## 🤖 Agents
 - [OpenAI Functions Agent](../openai-functions-agent): Build a chatbot that can take actions. Uses OpenAI function calling and Tavily.
-- [XML Agent](../xml-agent): Build a chatbot that can take actions. Uses Anthropic and You.com.
+- [XML Agent](../xml-agent): Build a chatbot that can take actions. Uses Anthropic and You.com.

templates/openai-functions-agent/openai_functions_agent/agent.py

@@ -11,19 +11,24 @@ from langchain.tools.render import format_tool_to_openai_function
 from langchain.tools.tavily_search import TavilySearchResults
 from langchain.utilities.tavily_search import TavilySearchAPIWrapper
 
-# Fake Tool
+# Create the tool
 search = TavilySearchAPIWrapper()
-tavily_tool = TavilySearchResults(api_wrapper=search)
+description = """"A search engine optimized for comprehensive, accurate, \
+and trusted results. Useful for when you need to answer questions \
+about current events or about recent information. \
+Input should be a search query. \
+If the user is asking about something that you don't know about, \
+you should probably use this tool to see if that can provide any information."""
+tavily_tool = TavilySearchResults(api_wrapper=search, description=description)
 
 tools = [tavily_tool]
 
 llm = ChatOpenAI(temperature=0)
+assistant_system_message = """You are a helpful assistant. \
+Use tools (only if necessary) to best answer the users questions."""
 prompt = ChatPromptTemplate.from_messages(
     [
-        (
-            "system",
-            "You are very powerful assistant, but bad at calculating lengths of words.",
-        ),
+        ("system", assistant_system_message),
         MessagesPlaceholder(variable_name="chat_history"),
         ("user", "{input}"),
         MessagesPlaceholder(variable_name="agent_scratchpad"),

templates/xml-agent/xml_agent/agent.py

@@ -21,7 +21,6 @@ def _format_chat_history(chat_history: List[Tuple[str, str]]):
 
 model = ChatAnthropic(model="claude-2")
 
-
 tools = [DuckDuckGoSearchRun()]
 
 prompt = conversational_prompt.partial(