[DOCS]

docs/mkdocs.yml

@@ -152,6 +152,7 @@ nav:
         - HuggingFaceLLM: "swarms/models/huggingface.md"
         - Anthropic: "swarms/models/anthropic.md"
         - OpenAIChat: "swarms/models/openai.md"
+        - OpenAIFunctionCaller: "swarms/models/openai_function_caller.md"
         # - TogetherAI: "swarms/models/togetherai.md"
       - MultiModal Models:
         - BaseMultiModalModel: "swarms/models/base_multimodal_model.md"

playground/agents/monitoring/agent_ops.py

@@ -63,7 +63,8 @@ swarm = AgentRearrange(
     flow="Treasurer -> CFO",
 )
 
-results = swarm.run("Date,Revenue,Expenses,Profit,Cash_Flow,Inventory,Customer_Acquisition_Cost,Customer_Retention_Rate,Marketing_Spend,R&D_Spend,Debt,Assets\n"
+results = swarm.run(
+    "Date,Revenue,Expenses,Profit,Cash_Flow,Inventory,Customer_Acquisition_Cost,Customer_Retention_Rate,Marketing_Spend,R&D_Spend,Debt,Assets\n"
     "2023-01-01,1000000,800000,200000,150000,500000,100,0.85,50000,100000,2000000,5000000\n"
     "2023-02-01,1050000,820000,230000,180000,520000,95,0.87,55000,110000,1950000,5100000\n"
     "2023-03-01,1100000,850000,250000,200000,530000,90,0.88,60000,120000,1900000,5200000\n"

playground/agents/monitoring/agent_ops_tools.py

@@ -27,6 +27,7 @@ sys.path.insert(0, os.getcwd())
 from swarms import Agent, OpenAIChat
 from agentops import record_function
 
+
 # Add agentops decorator on your tools
 @record_function("length_checker")
 def length_checker(string: str) -> int:
@@ -41,6 +42,7 @@ def length_checker(string: str) -> int:
     """
     return len(string)
 
+
 agent1 = Agent(
     agent_name="lengther",
     system_prompt="return the length of the string",

swarms/structs/agent.py

@@ -91,6 +91,7 @@ def step_id():
 agent_output_type = Union[BaseModel, dict, str]
 ToolUsageType = Union[BaseModel, Dict[str, Any]]
 
+
 # [FEAT][AGENT]
 @agentops.track_agent()
 class Agent(BaseStructure):

swarms/structs/rearrange.py

@@ -224,7 +224,11 @@ class AgentRearrange(BaseSwarm):
                             else:
                                 agent = self.agents[agent_name]
                                 result = agent.run(
-                                    current_task, img, is_last, *args, **kwargs
+                                    current_task,
+                                    img,
+                                    is_last,
+                                    *args,
+                                    **kwargs,
                                 )
                                 results.append(result)
 
@@ -324,13 +328,22 @@ class AgentRearrange(BaseSwarm):
                 results = []
                 for agent_name in agent_names:
                     result = self.process_agent_or_swarm(
-                        agent_name, current_task, img, is_last*args, **kwargs
+                        agent_name,
+                        current_task,
+                        img,
+                        is_last * args,
+                        **kwargs,
                     )
                     results.append(result)
                 current_task = "; ".join(results)
             else:
                 current_task = self.process_agent_or_swarm(
-                    agent_names[0], current_task, is_last, img, *args, **kwargs
+                    agent_names[0],
+                    current_task,
+                    is_last,
+                    img,
+                    *args,
+                    **kwargs,
                 )
         return current_task
 

swarms/tools/tool_parse_exec.py

@@ -30,7 +30,11 @@ def parse_and_execute_json(
         function_dict = {func.__name__: func for func in functions}
 
         data = json.loads(json_string)
-        function_list = data.get("functions", []) if data.get("functions") else [data.get("function", [])]
+        function_list = (
+            data.get("functions", [])
+            if data.get("functions")
+            else [data.get("function", [])]
+        )
 
         results = {}
         for function_data in function_list: