Update README with landing page URL

Author: MukundaKatta

README.md

@@ -1,135 +1,5 @@
-# agent-swarm-lite
+# Agent Swarm Lite
 
-A lightweight Python framework for building multi-agent systems. Define specialized agents, wire them together, and let them collaborate on complex tasks -- all in under 50 lines of setup code.
+## Live Demo
 
-## Why agent-swarm-lite?
-
-Multi-agent orchestration frameworks tend to be massive. **agent-swarm-lite** takes the opposite approach: a small, readable core that gives you the primitives you actually need.
-
-- **Simple agent definition** -- subclass `Agent` or use the functional API
-- **Built-in message passing** -- agents communicate through a typed message bus
-- **Swarm orchestration** -- run agents in parallel, sequential, or router patterns
-- **LLM-agnostic** -- bring any model via a simple adapter interface
-- **Async-first** -- built on asyncio for real concurrency
-- **Observable** -- built-in event logging for debugging and tracing
-
-## Installation
-
-```bash
-pip install agent-swarm-lite
-```
-
-Or from source:
-
-```bash
-git clone https://github.com/MukundaKatta/agent-swarm-lite.git
-cd agent-swarm-lite
-pip install -e .
-```
-
-## Quick Start
-
-```python
-from agent_swarm_lite import Agent, Swarm
-
-# Define agents with simple functions
-researcher = Agent(
-    name="researcher",
-    instructions="You research topics and return key facts.",
-    model="gpt-4o",
-)
-
-writer = Agent(
-    name="writer",
-    instructions="You write clear summaries from research notes.",
-    model="gpt-4o",
-)
-
-# Create a swarm and run a pipeline
-swarm = Swarm(agents=[researcher, writer])
-result = swarm.run_pipeline(
-    input_text="What are the latest trends in quantum computing?",
-    pipeline=["researcher", "writer"],
-)
-print(result)
-```
-
-## Architecture
-
-### Agents
-
-An agent is a unit of work with a name, instructions, and optional tools:
-
-```python
-agent = Agent(
-    name="data-analyst",
-    instructions="Analyze CSV data and return insights.",
-    tools=[read_csv, compute_stats],
-)
-```
-
-### Message Bus
-
-Agents communicate through typed messages:
-
-```python
-from agent_swarm_lite import Message
-
-msg = Message(
-    sender="researcher",
-    recipient="writer",
-    content="Key finding: quantum error correction improved 10x.",
-    metadata={"confidence": 0.95},
-)
-```
-
-### Swarm Patterns
-
-- **Pipeline** -- agents run sequentially, each receiving the previous output
-- **Parallel** -- multiple agents process the same input concurrently
-- **Router** -- a routing agent decides which specialist to invoke
-
-## Examples
-
-See the `examples/` directory:
-
-- `examples/pipeline_demo.py` -- sequential multi-agent pipeline
-- `examples/parallel_demo.py` -- parallel agent execution
-- `examples/router_demo.py` -- dynamic routing between agents
-
-## Project Structure
-
-```
-agent-swarm-lite/
-  agent_swarm_lite/
-    __init__.py        # Public API
-    agent.py           # Agent class and functional API
-    message.py         # Message types and bus
-    swarm.py           # Swarm orchestrator
-    adapters.py        # LLM adapter interface
-    logger.py          # Event logging and tracing
-  examples/
-    pipeline_demo.py   # Pipeline pattern demo
-    parallel_demo.py   # Parallel pattern demo
-    router_demo.py     # Router pattern demo
-  tests/
-    test_swarm.py      # Core tests
-  requirements.txt
-  setup.py
-  LICENSE
-  README.md
-```
-
-## Running Tests
-
-```bash
-python -m pytest tests/ -v
-```
-
-## License
-
-MIT License - see [LICENSE](LICENSE) for details.
-
-## Contributing
-
-Contributions welcome! Open an issue or PR.
+Visit the landing page: [https://MukundaKatta.github.io/agent-swarm-lite](https://MukundaKatta.github.io/agent-swarm-lite)