[CLEANUP]

example.py

@@ -1,18 +1,13 @@
 from swarms import Agent, Anthropic
-from langchain.tools import tool
-
-
-# Tool
-@tool
-def search_api(query: str, max_results: int = 10):
-    """
-    Search the web for the query and return the top `max_results` results.
-    """
-    return f"Search API: {query} -> {max_results} results"
 
 
 ## Initialize the workflow
 agent = Agent(
+    agent_name="Transcript Generator",
+    agent_description=(
+        "Generate a transcript for a youtube video on what swarms"
+        " are!"
+    ),
     llm=Anthropic(),
     max_loops="auto",
     autosave=True,
@@ -20,7 +15,6 @@ agent = Agent(
     streaming_on=True,
     verbose=True,
     stopping_token="<DONE>",
-    tools=[search_api],
 )
 
 # Run the workflow on a task

playground/swarms/hierarchical_swarm.py

@@ -6,6 +6,7 @@ from typing import List, Optional
 from pydantic import BaseModel, Field
 from swarms.utils.json_utils import str_to_json
 
+
 class HierarchicalSwarm(BaseModel):
     class Config:
         arbitrary_types_allowed = True
@@ -13,7 +14,9 @@ class HierarchicalSwarm(BaseModel):
     agents: Optional[List[str]] = Field(
         None, title="List of agents in the hierarchical swarm"
     )
-    task: Optional[str] = Field(None, title="Task to be done by the agents")
+    task: Optional[str] = Field(
+        None, title="Task to be done by the agents"
+    )
 
 
 all_agents = HierarchicalSwarm()

requirements.txt

@@ -6,7 +6,7 @@ langchain-experimental
 httpx==0.24.1
 Pillow==9.4.0
 datasets==2.14.5
-pydantic
+pydantic==2.6.4
 huggingface-hub
 requests_mock
 pypdf==4.0.1

swarm_network_example.py

@@ -64,10 +64,3 @@ out = swarmnet.run_single_agent(
     agent2.id, "Generate a 10,000 word blog on health and wellness."
 )
 print(out)
-
-
-# # Run all the agents in the swarm network on a task
-# out = swarmnet.run_many_agents(
-#     f"Summarize the blog and create a social media post: {out}"
-# )
-# print(out)

swarms/tools/tool.py

@@ -1,6 +1 @@
-from langchain.tools import (
-    BaseTool,
-    Tool,
-    tool,
-    StructuredTool,
-)  # noqa
+from langchain.tools import BaseTool, StructuredTool, Tool, tool # noqa F401

swarms/utils/json_utils.py

@@ -50,7 +50,6 @@ def base_model_to_json(base_model_instance: BaseModel) -> str:
     return json_string
 
 
-
 def str_to_json(response: str, indent: int = 3):
     """
     Converts a string representation of JSON to a JSON object.
@@ -63,4 +62,4 @@ def str_to_json(response: str, indent: int = 3):
         str: The JSON object as a string.
 
     """
-    return json.dumps(response, indent=indent)
+    return json.dumps(response, indent=indent)