examples

playground/multi_agent_collab.py

@@ -0,0 +1,9 @@
+from swarms import DialogueSimulator, Worker
+
+def select_next_speaker(step: int, agents) -> int:
+    idx = (step) % len(agents)
+    return idx
+
+debate = DialogueSimulator(Worker, select_next_speaker)
+
+debate.run()

swarms/swarms/dialogue_authoritarian_speaker.py

@@ -1,12 +0,0 @@
-def select_next_speaker(
-        step: int,
-        agents,
-        director
-) -> int:
-    #if the step if even => director
-    #=> director selects next speaker
-    if step % 2 == 1:
-        idx = 0
-    else:
-        idx = director.select_next_speaker() + 1
-    return idx

swarms/swarms/multi_agent_collab.py

@@ -11,6 +11,19 @@ bid_parser = BidOutputParser(
     regex=r"<(\d+)>", output_keys=["bid"], default_output_key="bid"
 )
 
+def select_next_speaker(
+        step: int,
+        agents,
+        director
+) -> int:
+    #if the step if even => director
+    #=> director selects next speaker
+    if step % 2 == 1:
+        idx = 0
+    else:
+        idx = director.select_next_speaker() + 1
+    return idx
+
 
 #main
 class MultiAgentCollaboration:

workflow.py

@@ -1,11 +0,0 @@
-
-from swarms import Workflow
-from swarms.tools.autogpt import ChatOpenAI
-
-workflow = Workflow(ChatOpenAI)
-
-workflow.add("What's the weather in miami")
-workflow.add("Provide details for {{ parent_output }}")
-workflow.add("Summarize the above information: {{ parent_output}}")
-
-workflow.run()