From 725f3044488b753e7337713c660f2a5f629ebef7 Mon Sep 17 00:00:00 2001
From: Pavan Kumar <66913595+ascender1729@users.noreply.github.com>
Date: Sun, 20 Apr 2025 09:28:11 +0000
Subject: [PATCH] fix(agent_prompts): remove duplicate MATH_AGENT_PROMPT
 definition and fix server transport config

---
 examples/mcp_example/mock_math_server.py |  2 +-
 swarms/prompts/agent_prompts.py          | 16 ----------------
 2 files changed, 1 insertion(+), 17 deletions(-)

diff --git a/examples/mcp_example/mock_math_server.py b/examples/mcp_example/mock_math_server.py
index 07803d84..f8d85e3c 100644
--- a/examples/mcp_example/mock_math_server.py
+++ b/examples/mcp_example/mock_math_server.py
@@ -22,4 +22,4 @@ def divide(a: int, b: int) -> float:
 
 if __name__ == "__main__":
     print("Starting Mock Math Server on port 8000...")
-    mcp.run(transport="sse", port=8000)
+    mcp.run(transport="sse", transport_kwargs={"port": 8000, "host": "0.0.0.0"})
diff --git a/swarms/prompts/agent_prompts.py b/swarms/prompts/agent_prompts.py
index 3a921a14..594e7530 100644
--- a/swarms/prompts/agent_prompts.py
+++ b/swarms/prompts/agent_prompts.py
@@ -10,15 +10,6 @@ Key responsibilities:
 
 Remember to use the available MCP tools for calculations rather than doing them directly."""
 
-MATH_AGENT_PROMPT = """You are a specialized math agent that can perform calculations by calling external math service APIs.
-Key responsibilities:
-1. Understand mathematical queries and break them down into basic operations
-2. Use available math tools (add, multiply, divide) appropriately
-3. Provide clear explanations of calculations
-4. Handle errors gracefully if operations fail
-
-Remember to use the available MCP tools for calculations rather than doing them directly."""
-
 FINANCE_AGENT_PROMPT = """You are a financial analysis agent with access to stock market data services.
 Key responsibilities:
 1. Interpret financial queries and determine required data
@@ -64,7 +55,6 @@ def generate_agent_role_prompt(agent):
 
     return prompts.get(agent, "No such agent")
 
-
 def generate_report_prompt(question, research_summary):
     """Generates the report prompt for the given question and research summary.
     Args: question (str): The question to generate the report prompt for
@@ -83,7 +73,6 @@ def generate_report_prompt(question, research_summary):
         " format"
     )
 
-
 def generate_search_queries_prompt(question):
     """Generates the search queries prompt for the given question.
     Args: question (str): The question to generate the search queries prompt for
@@ -97,7 +86,6 @@ def generate_search_queries_prompt(question):
         ' ["query 1", "query 2", "query 3", "query 4"]'
     )
 
-
 def generate_resource_report_prompt(question, research_summary):
     """Generates the resource report prompt for the given question and research summary.
 
@@ -122,7 +110,6 @@ def generate_resource_report_prompt(question, research_summary):
         " should have a minimum length of 1,200 words."
     )
 
-
 def generate_outline_report_prompt(question, research_summary):
     """Generates the outline report prompt for the given question and research summary.
     Args: question (str): The question to generate the outline report prompt for
@@ -142,7 +129,6 @@ def generate_outline_report_prompt(question, research_summary):
         " format the outline and ensure readability."
     )
 
-
 def generate_concepts_prompt(question, research_summary):
     """Generates the concepts prompt for the given question.
     Args: question (str): The question to generate the concepts prompt for
@@ -160,7 +146,6 @@ def generate_concepts_prompt(question, research_summary):
         ' "concepts 4, concepts 5"]'
     )
 
-
 def generate_lesson_prompt(concept):
     """
     Generates the lesson prompt for the given question.
@@ -180,7 +165,6 @@ def generate_lesson_prompt(concept):
 
     return prompt
 
-
 def get_report_by_type(report_type):
     report_type_mapping = {
         "research_report": generate_report_prompt,