From d81f2ffaf7c144baf3d82f6d37ad2fb78fa120f7 Mon Sep 17 00:00:00 2001
From: Aksh Parekh <parekh.aksh.c@gmail.com>
Date: Sat, 18 Oct 2025 15:14:05 -0700
Subject: [PATCH] [TEST] Streaming Callback for Majority Voting with custom
 Streaming Function

---
 .../structs/test_majority_voting_streaming.py | 56 +++++++++++++++++++
 1 file changed, 56 insertions(+)

diff --git a/tests/structs/test_majority_voting_streaming.py b/tests/structs/test_majority_voting_streaming.py
index 8b137891..2872d75c 100644
--- a/tests/structs/test_majority_voting_streaming.py
+++ b/tests/structs/test_majority_voting_streaming.py
@@ -1 +1,57 @@
+from swarms import Agent
+from swarms.prompts.finance_agent_sys_prompt import (
+    FINANCIAL_AGENT_SYS_PROMPT,
+)
+from swarms.structs.majority_voting import MajorityVoting
+from dotenv import load_dotenv
+
+def streaming_callback(agent_name: str, chunk: str, is_final: bool):
+    # Chunk buffer static per call (reset each session)
+    if not hasattr(streaming_callback, "_buffer"):
+        streaming_callback._buffer = ""
+        streaming_callback._buffer_size = 0
+
+    min_chunk_size = 512  # or any large chunk size you want
+
+    if chunk:
+        streaming_callback._buffer += chunk
+        streaming_callback._buffer_size += len(chunk)
+    if streaming_callback._buffer_size >= min_chunk_size or is_final:
+        if streaming_callback._buffer:
+            print(streaming_callback._buffer, end="", flush=True)
+            streaming_callback._buffer = ""
+            streaming_callback._buffer_size = 0
+    if is_final:
+        print()
+
+load_dotenv()
+
+
+# Initialize the agent
+agent = Agent(
+    agent_name="Financial-Analysis-Agent",
+    agent_description="Personal finance advisor agent",
+    system_prompt=FINANCIAL_AGENT_SYS_PROMPT,
+    max_loops=1,
+    model_name="gpt-4.1",
+    dynamic_temperature_enabled=True,
+    user_name="swarms_corp",
+    retry_attempts=3,
+    context_length=8192,
+    return_step_meta=False,
+    output_type="str",  # "json", "dict", "csv" OR "string" "yaml" and
+    auto_generate_prompt=False,  # Auto generate prompt for the agent based on name, description, and system prompt, task
+    max_tokens=4000,  # max output tokens
+    saved_state_path="agent_00.json",
+    interactive=False,
+    streaming_on=True,  #if concurrent agents want to be streamed
+)
+
+swarm = MajorityVoting(agents=[agent, agent, agent])
+
+swarm.run(
+    "Create a table of super high growth opportunities for AI. I have $40k to invest in ETFs, index funds, and more. Please create a table in markdown.",
+    streaming_callback=streaming_callback,
+
+)