[FEAT][OpenAIChat Fix]

example.py

@@ -1,5 +1,4 @@
-from swarms import Agent
-from swarms.models.llama3_hosted import llama3Hosted
+from swarms import Agent, OpenAIChat
 
 
 # Initialize the agent
@@ -8,7 +7,7 @@ agent = Agent(
     agent_description=(
         "Generate a transcript for a youtube video on what swarms" " are!"
     ),
-    llm=llama3Hosted(),
+    llm=OpenAIChat(),
     max_loops="auto",
     autosave=True,
     dashboard=False,

pyproject.toml

@@ -5,7 +5,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "swarms"
-version = "5.0.9"
+version = "5.1.3"
 description = "Swarms - Pytorch"
 license = "MIT"
 authors = ["Kye Gomez <kye@apac.ai>"]

scripts/cleanup/json_log_cleanup.py

@@ -18,7 +18,7 @@ def cleanup_json_logs(name: str = None):
             if (
                 filename.endswith(".json")
                 or filename.endswith(".log")
-                or filename.endswith(".txt")
+                # or filename.endswith(".txt")
             ):
                 # Construct the full file paths
                 file_path = os.path.join(dirpath, filename)

swarms/models/popular_llms.py

@@ -65,10 +65,12 @@ class OpenAIChatLLM(OpenAIChat):
         super().__init__(*args, **kwargs)
 
     def __call__(self, *args, **kwargs):
-        return self.invoke(*args, **kwargs)
+        out = self.invoke(*args, **kwargs)
+        return out.content.strip()
 
     def run(self, *args, **kwargs):
-        return self.invoke(*args, **kwargs)
+        out = self.invoke(*args, **kwargs)
+        return out.content.strip()
 
 
 class OctoAIChat(OctoAIEndpoint):

swarms/structs/scp.py

@@ -0,0 +1,91 @@
+"""
+Swarm Communication Protocol
+- RAG as a communication protocol
+- Each Agent is connected to a database so they can see each others 
+memories, actions, and experiences
+
+"""
+
+import json
+from swarms.structs.omni_agent_types import AgentType
+from swarms.structs.base_structure import BaseStructure
+from typing import List
+from swarms.memory.base_vectordb import BaseVectorDatabase
+import time
+from swarms.utils.loguru_logger import logger
+from pydantic import BaseModel, Field
+
+
+class SwarmCommunicationProtocol(BaseModel):
+    agent_name: str = Field(
+        None, title="Agent Name", description="The name of the agent"
+    )
+    message: str = Field(
+        None, title="Message", description="The message to be sent"
+    )
+    timestamp: float = Field(
+        None,
+        title="Timestamp",
+        description="The time the message was sent",
+    )
+
+
+class SCP(BaseStructure):
+    def __init__(
+        self,
+        agents: List[AgentType],
+        memory_system: BaseVectorDatabase = None,
+        *args,
+        **kwargs,
+    ):
+        super().__init__()
+        self.agents = agents
+        self.memory_system = memory_system
+
+        # Memory system
+        if memory_system is not None:
+            for agent in self.agents.values():
+                agent.long_term_memory = memory_system
+
+        logger.info(
+            "AgentRearrange initialized with agents: {}".format(
+                list(self.agents.keys())
+            )
+        )
+
+    def message_log(
+        self, agent: AgentType, task: str = None, message: str = None
+    ):
+        log = {
+            "agent_name": agent.agent_name,
+            "task": task,
+            "response": message,
+            "timestamp": time.time(),
+        }
+
+        # Transform the log into a string
+        log_output = json.dumps(log)
+
+        # Add the log to the memory system
+        self.memory_system.add(log)
+
+        return log_output
+
+    def run_single_agent(
+        self, agent: AgentType, task: str, *args, **kwargs
+    ):
+        # Send the message to the agent
+        output = agent.run(task)
+
+        # log the message
+        self.message_log(
+            agent=agent,
+            task=task,
+            message=output,
+        )
+
+        # Log the output
+        return output
+
+    def send_message(self, agent: AgentType, message: str):
+        agent.receieve_mesage(self.message_log(agent, message))