From b4d97aa61966a7cc399012aa970fdb0a914ebd6a Mon Sep 17 00:00:00 2001
From: Varit Patel <varitpatel@gmail.com>
Date: Tue, 30 Jun 2026 16:05:51 +0100
Subject: [PATCH] refactor: Remove sandboxed agent

---
 example/main.py | 76 -------------------------------------------------
 1 file changed, 76 deletions(-)
 delete mode 100644 example/main.py

diff --git a/example/main.py b/example/main.py
deleted file mode 100644
index a55f199..0000000
--- a/example/main.py
+++ /dev/null
@@ -1,76 +0,0 @@
-import asyncio
-from agents import Agent, Runner, function_tool
-from agents.models.openai_provider import OpenAIProvider
-from agents.run import RunConfig
-
-
-# 1) FUNCTION TOOL SKILL
-@function_tool
-def calculate_gst(amount: float) -> str:
-    """Calculate 18% GST on a given amount."""
-    gst = amount * 0.18
-    total = amount + gst
-    return f"GST: {gst:.2f}, Total: {total:.2f}"
-
-
-# 2) SPECIALIST AGENTS
-finance_agent = Agent(
-    name="Finance Specialist",
-    instructions="You answer finance and tax questions clearly.",
-    model="gemma4",
-    input_guardrails=[],
-    output_guardrails=[],
-    handoffs=[],
-)
-
-marketing_agent = Agent(
-    name="Marketing Specialist",
-    instructions="You answer branding and growth questions clearly.",
-    model="gemma4",
-)
-
-# 3) MAIN ROUTER WITH HANDOFFS + TOOL
-main_agent = Agent(
-    name="Business Assistant",
-    instructions=(
-        "You are a startup assistant. "
-        "Use calculate_gst for tax calculations. "
-        "Hand off finance questions to Finance Specialist. "
-        "Hand off marketing questions to Marketing Specialist."
-    ),
-    model="gemma4",
-    tools=[calculate_gst],
-    handoffs=[finance_agent, marketing_agent],
-)
-
-
-# 4) SIMPLE MEMORY LAYER
-memory = {"user_name": "Shamkumar", "business_interest": "fintech MVP"}
-
-
-def inject_memory(user_input: str) -> str:
-    return (
-        f"User name: {memory['user_name']}. "
-        f"Business interest: {memory['business_interest']}. "
-        f"User question: {user_input}"
-    )
-
-
-async def main():
-    # Use Ollama's OpenAI-compatible endpoint (requires a dummy API key)
-    ollama_provider = OpenAIProvider(
-        base_url="http://localhost:11434/",
-        api_key="gemma4",  # Ollama doesn't verify the API key
-        use_responses=False,
-    )
-    run_config = RunConfig(model_provider=ollama_provider)
-
-    user_query = "Can you calculate GST on 1000 and also advise my fintech MVP?"
-    enriched_query = inject_memory(user_query)
-
-    result = await Runner.run(main_agent, enriched_query, run_config=run_config)
-    print(result.final_output)
-
-
-if __name__ == "__main__":
-    asyncio.run(main())