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+# Summary
+
+Introduce a strongly-typed, class-based component architecture for Dynamo SDK v2 that leverages Pydantic models. This proposal consolidates the current fragmented component so we can capture deployment metadata at build-time, eliminates boilerplate code.
+
+
+# Guiding Principles
+
+Definiing a `component`
+- it hosts strongly typed endpoints at a discoverable dynamo address 
+- it can be launched with `python3 my_component.py --args`
+- has minimum resource requirements to run it locally or in kuberenetes
+- can contain multiple instances (replicas)
+- a scalable stateful (chained single-in/many-out async generators) unit of distributed compute
+
+
+# Motivation
+- address issues with accessing low level runtime/operational aspects
+- eliminate dynamo_context
+- dynamo serve command launches dynamo graph based on a user provided resource config
+
+
+# Why class based components/endpoints ?
+"Programming to an interface, not an implementation" is core principle in software design that promotes flexibility, maintainability, and testability.
+
+- decoupling components at interface level
+- each component has a strongly typed interface (defined by the async generator endpoints)
+- we can swap a component implementation without breaking integration points.
+- CPU based mocks for CI
+- rollout new version of a single component without regression
+- we are seeing lot of code/component duplication across examples (llm, vllm_v0, trtllm, sglang). If we use common interface & concrete implementation
+
+from current files use same interface 
+`async def generate(self, request: PreprocessedRequest):`
+
+- `examples/vllm_v0/components/worker.py`
+- `examples/sglang/components/worker.py`
+- `examples/vllm_v1/components/simple_load_balancer.py`
+```python
+from utils.protocol import PreprocessedRequest
+
+@service(
+    dynamo={"namespace": "dynamo"},
+    resources={"gpu": 1, "cpu": "10", "memory": "20Gi"},
+    workers=1,
+)
+class VllmWorker:
+
+    @async_on_start
+    async def async_init(self):
+
+    @endpoint()
+    async def generate(self, request: PreprocessedRequest):
+```
+
+# Class based component
+
+Example:
+
+```python
+import asyncio
+import uvloop
+
+from dynamo.core import Resource, Client, Instance, component
+
+from my_graph import AnotherComponent
+
+# Note: this can be default namespace
+namespace = os.environ.get("DYNAMO_NAMESPACE", "dynamo")
+
+@service(namespace=namespace, resource=Resource(gpu=1, cpu="0.5", memory="3Gib"))
+class MyComponent(BaseComponent):
+
+    def __init__(self, instance: Instance):
+        self.instance = instance
+
+    @async_init
+    def init_clients():
+        self.another_component = AnotherComponent.client()
+
+    @endpoint
+    async def foo(self, req: RequestTypeA) -> ResponseTypeA:
+        # call endpoint in another component
+        res = await self.another_component.bar(req.some_attribute)
+
+    @endpoint
+    async def baz(self, req: RequestTypeB) -> ResponseTypeB:
+        pass
+
+if __name__ == "__main__":
+    uvloop.install()
+    uvloop.run(MyComponent.run())
+```
+
+
+
+# Resolved Issues
+
+## 1.  Dynamo Context is a free-form dict
+Use unified Dynamo Identifier based on [component descriptor proposal](https://github.com/ai-dynamo/enhancements/blob/89d87e9b962a953cd9d5e66b205eda53a6810baa/enhancements/0000-component-descriptor-model.md#descriptor-types)
+
+```python
+
+class Identifier(BaseModel):
+    """Base descriptor for component identification."""
+    namespace: str
+    component: Optional[str] = None
+    endpoint: Optional[str] = None
+
+
+class Instance(BaseModel):
+    """Identifier with instance ID (immutable once created)."""
+    identifier: Identifier
+    instance_id: int
+
+```
+
+## 2. hard to get runtime inner details 
+
+Sample Issue:
+```
+VLLM_WORKER_ID = dynamo_context["endpoints"][0].lease_id()
+
+To get endpoints you have to know that there is a list of endpoints
+Have to guess which one is the endpoint you actually want
+```
+
+Resolution: 
+
+Instance provides direct access to operational entities and runtime
+```python
+VLLM_WORKER_ID = self.instance.instance_id
+```
+## 3 Inability to launch with python3
+
+with proposed footer user can launch individual component or graph (using `dynamo serve`)
+
+```python
+if __name__ == "__main__":
+    uvloop.install()
+    uvloop.run(MyComponent.run())
+```
+
+# References:
+- [component + discovery](https://github.com/ai-dynamo/enhancements/pull/11)
+- [Consolidating dynamo-serve and dynamo-run component API](https://github.com/ai-dynamo/enhancements/pull/10)