[CLEANUP]

api/main.py

@@ -29,8 +29,6 @@ from pydantic import BaseModel, Field
 
 from swarms.structs.agent import Agent
 
-# Original API, drafting OpenTelemetry Integrations in this directory
-
 # Load environment variables
 load_dotenv()
 

api/skypilot.yaml

@@ -1,3 +1,5 @@
+name: agentapi
+
 service:
   readiness_probe:
     path: /docs
@@ -11,14 +13,19 @@ service:
     upscale_delay_seconds: 180
     downscale_delay_seconds: 600
 
+
+envs:
+  WORKSPACE_DIR: "agent_workspace"
+  OPENAI_API_KEY: ""
+
 resources:
   ports: 8000  # FastAPI default port
   cpus: 16
   memory: 64
-  disk_size: 100
+  disk_size: 50
   use_spot: true
 
-workdir: /app
+workdir: .
 
 setup: |
   git clone https://github.com/kyegomez/swarms.git
@@ -27,7 +34,6 @@ setup: |
   pip install swarms
 
 run: |
-  cd swarms/api
   uvicorn main:app --host 0.0.0.0 --port 8000 --workers 4
 
 # env:

api/tests.py

@@ -1,12 +1,11 @@
 import asyncio
 import json
-import uuid
+import os
-from datetime import datetime
-import aiohttp
 import sys
-from typing import Dict, Any, Optional
+from typing import Any, Dict
+
+import aiohttp
 from loguru import logger
-import os
 
 # Configure loguru
 LOG_PATH = "api_tests.log"
@@ -17,7 +16,7 @@ logger.add(LOG_PATH,
     level="DEBUG"
 )
 
-BASE_URL = "https://dev.api.swarms.ai/v1"  # Change this to match your server URL
+BASE_URL = "https://api.swarms.ai/v1"  # Change this to match your server URL
 
 async def log_request_details(method: str, url: str, headers: dict, data: Any = None):
     """Log request details before sending."""
@@ -249,7 +248,7 @@ def main():
         asyncio.run(run_tests())
     except KeyboardInterrupt:
         logger.warning("Test execution interrupted by user.")
-    except Exception as e:
+    except Exception:
         logger.exception("Fatal error in test execution:")
     finally:
         logger.info("Test suite shutdown complete.")

docs/swarms/structs/group_chat.md

@@ -29,7 +29,7 @@ A production-grade multi-agent system enabling sophisticated group conversations
 | description | str | "" | Purpose description |
 | agents | List[Agent] | [] | Participating agents |
 | speaker_fn | Callable | round_robin | Speaker selection function |
-| max_turns | int | 10 | Maximum conversation turns |
+| max_loops | int | 10 | Maximum conversation turns |
 
 
 ## Table of Contents
@@ -272,7 +272,7 @@ analysis_team = GroupChat(
     description="Comprehensive market analysis group",
     agents=[data_analyst, market_expert, strategy_advisor],
     speaker_fn=expertise_based,
-    max_turns=15
+    max_loops=15
 )
 
 # Run complex analysis

new_features_examples/multi_tool_usage_agent.py

@@ -111,6 +111,9 @@ class ExecutionContext:
     history: List[Dict[str, Any]] = field(default_factory=list)
 
 
+def func():
+    pass
+
 hints = get_type_hints(func)
 
 

swarms/structs/async_workflow.py

@@ -63,7 +63,7 @@ class SpeakerMessage(BaseModel):
 
 
 class GroupChatConfig(BaseModel):
-    max_turns: int = 10
+    max_loops: int = 10
     timeout_per_turn: float = 30.0
     require_all_speakers: bool = False
     allow_concurrent: bool = True
@@ -309,7 +309,7 @@ class AsyncWorkflow(BaseWorkflow):
         messages: List[SpeakerMessage] = []
         current_turn = 0
 
-        while current_turn < self.group_chat_config.max_turns:
+        while current_turn < self.group_chat_config.max_loops:
             turn_context = {
                 "turn": current_turn,
                 "history": messages,
@@ -627,7 +627,7 @@ def create_default_workflow(
         verbose=True,
         enable_group_chat=enable_group_chat,
         group_chat_config=GroupChatConfig(
-            max_turns=5,
+            max_loops=5,
             allow_concurrent=True,
             require_all_speakers=False,
         ),

swarms/structs/groupchat.py

@@ -123,7 +123,7 @@ class GroupChat:
         description: str = "A group chat for multiple agents",
         agents: List[Agent] = [],
         speaker_fn: SpeakerFunction = round_robin,
-        max_turns: int = 10,
+        max_loops: int = 10,
     ):
         """
         Initialize the GroupChat.
@@ -133,13 +133,13 @@ class GroupChat:
             description (str): Description of the purpose of the group chat.
             agents (List[Agent]): A list of agents participating in the chat.
             speaker_fn (SpeakerFunction): The function to determine which agent should speak next.
-            max_turns (int): Maximum number of turns in the chat.
+            max_loops (int): Maximum number of turns in the chat.
         """
         self.name = name
         self.description = description
         self.agents = agents
         self.speaker_fn = speaker_fn
-        self.max_turns = max_turns
+        self.max_loops = max_loops
         self.chat_history = ChatHistory(
             turns=[],
             total_messages=0,
@@ -237,7 +237,7 @@ class GroupChat:
                 f"Starting chat '{self.name}' with task: {task}"
             )
 
-            for turn in range(self.max_turns):
+            for turn in range(self.max_loops):
                 current_turn = ChatTurn(
                     turn_number=turn, responses=[], task=task
                 )

tests/structs/test_groupchat.py

@@ -63,12 +63,12 @@ def test_expertise_based_speaking():
         assert first_response.agent_name == agent.agent_name
 
 
-def test_max_turns_limit():
+def test_max_loops_limit():
-    max_turns = 3
+    max_loops = 3
-    chat = GroupChat(agents=setup_test_agents(), max_turns=max_turns)
+    chat = GroupChat(agents=setup_test_agents(), max_loops=max_loops)
     history = chat.run("Test message")
 
-    assert len(history.turns) == max_turns
+    assert len(history.turns) == max_loops
 
 
 def test_error_handling():
@@ -106,7 +106,7 @@ def test_large_agent_group():
 
 
 def test_long_conversations():
-    chat = GroupChat(agents=setup_test_agents(), max_turns=50)
+    chat = GroupChat(agents=setup_test_agents(), max_loops=50)
     history = chat.run("Long conversation test")
 
     assert len(history.turns) == 50
@@ -130,7 +130,7 @@ if __name__ == "__main__":
         test_round_robin_speaking,
         test_concurrent_processing,
         test_expertise_based_speaking,
-        test_max_turns_limit,
+        test_max_loops_limit,
         test_error_handling,
         test_conversation_context,
         test_large_agent_group,