feat: add A2A protocol support via serve_a2a

README.md

@@ -79,6 +79,24 @@ app.run()  # Ready to run on Bedrock AgentCore
 
 **Production:** [AWS CDK](https://docs.aws.amazon.com/cdk/api/v2/docs/aws-cdk-lib.aws_bedrockagentcore-readme.html).
 
+## A2A Protocol Support
+
+Serve your agent using the [A2A (Agent-to-Agent) protocol](https://google.github.io/A2A/) on Bedrock AgentCore Runtime. Works with any framework that provides an a2a-sdk `AgentExecutor` (Strands, LangGraph, Google ADK, or custom).
+
+```bash
+pip install "bedrock-agentcore[a2a]"
+```
+
+```python
+from strands import Agent
+from strands.a2a import StrandsA2AExecutor
+from bedrock_agentcore.runtime import serve_a2a
+
+agent = Agent(model="us.anthropic.claude-sonnet-4-20250514", system_prompt="You are a helpful assistant.")
+serve_a2a(StrandsA2AExecutor(agent))
+```
+
+See [A2A Protocol Examples](docs/examples/a2a_protocol_examples.md) for LangGraph, Google ADK, and advanced usage.
 
 ## 📝 License & Contributing
 

docs/examples/a2a_protocol_examples.md

@@ -0,0 +1,194 @@
+# A2A Protocol Support
+
+This document explains how to serve your agent using the [A2A (Agent-to-Agent) protocol](https://google.github.io/A2A/) on Bedrock AgentCore Runtime.
+
+## Installation
+
+A2A support requires the optional `a2a` extra:
+
+```bash
+pip install "bedrock-agentcore[a2a]"
+```
+
+## Quick Start
+
+### Strands Agent
+
+Strands provides a built-in `StrandsA2AExecutor` that wraps a Strands `Agent` as an A2A executor. When no `AgentCard` is provided, one is auto-built from the agent's `name` and `description`.
+
+```python
+from strands import Agent
+from strands.a2a import StrandsA2AExecutor
+from bedrock_agentcore.runtime import serve_a2a
+
+agent = Agent(
+    model="us.anthropic.claude-sonnet-4-20250514",
+    system_prompt="You are a helpful calculator.",
+)
+
+if __name__ == "__main__":
+    serve_a2a(StrandsA2AExecutor(agent))
+```
+
+### LangGraph Agent
+
+LangGraph requires a thin `AgentExecutor` wrapper (~15 lines) and an explicit `AgentCard`:
+
+```python
+from langchain_aws import ChatBedrockConverse
+from langgraph.prebuilt import create_react_agent
+
+from a2a.server.agent_execution import AgentExecutor, RequestContext
+from a2a.server.events import EventQueue
+from a2a.server.tasks import TaskUpdater
+from a2a.types import AgentCapabilities, AgentCard, AgentSkill, Part, TextPart
+from a2a.utils import new_task
+from bedrock_agentcore.runtime import serve_a2a
+
+llm = ChatBedrockConverse(model="us.anthropic.claude-sonnet-4-20250514")
+graph = create_react_agent(llm, tools=[], prompt="You are a helpful calculator.")
+
+
+class LangGraphA2AExecutor(AgentExecutor):
+    def __init__(self, graph):
+        self.graph = graph
+
+    async def execute(self, context: RequestContext, event_queue: EventQueue) -> None:
+        task = context.current_task or new_task(context.message)
+        if not context.current_task:
+            await event_queue.enqueue_event(task)
+        updater = TaskUpdater(event_queue, task.id, task.context_id)
+        user_text = context.get_user_input()
+        result = await self.graph.ainvoke({"messages": [("user", user_text)]})
+        response = result["messages"][-1].content
+        await updater.add_artifact([Part(root=TextPart(text=response))])
+        await updater.complete()
+
+    async def cancel(self, context: RequestContext, event_queue: EventQueue) -> None:
+        pass
+
+
+card = AgentCard(
+    name="langgraph-agent",
+    description="A LangGraph agent on Bedrock AgentCore",
+    url="http://localhost:9000/",
+    version="0.1.0",
+    capabilities=AgentCapabilities(streaming=True),
+    skills=[AgentSkill(id="calc", name="calculator", description="Arithmetic", tags=["math"])],
+    default_input_modes=["text"],
+    default_output_modes=["text"],
+)
+
+if __name__ == "__main__":
+    serve_a2a(LangGraphA2AExecutor(graph), card)
+```
+
+### Google ADK Agent
+
+Google ADK provides `A2aAgentExecutor` built-in. You supply an explicit `AgentCard`:
+
+```python
+from google.adk.agents import LlmAgent
+from google.adk.runners import Runner
+from google.adk.a2a import A2aAgentExecutor
+
+from a2a.types import AgentCapabilities, AgentCard, AgentSkill
+from bedrock_agentcore.runtime import serve_a2a
+
+agent = LlmAgent(
+    model="gemini-2.0-flash",
+    name="calculator",
+    description="A calculator agent",
+    instruction="You are a helpful calculator.",
+)
+runner = Runner(agent=agent, app_name="calculator", session_service=None)
+
+card = AgentCard(
+    name="adk-agent",
+    description="A Google ADK agent on Bedrock AgentCore",
+    url="http://localhost:9000/",
+    version="0.1.0",
+    capabilities=AgentCapabilities(streaming=True),
+    skills=[AgentSkill(id="calc", name="calculator", description="Arithmetic", tags=["math"])],
+    default_input_modes=["text"],
+    default_output_modes=["text"],
+)
+
+if __name__ == "__main__":
+    serve_a2a(A2aAgentExecutor(runner=runner), card)
+```
+
+## API Reference
+
+### `serve_a2a(executor, agent_card=None, *, port=9000, host=None, ...)`
+
+Starts a Bedrock-compatible A2A server with `uvicorn`.
+
+| Parameter | Type | Default | Description |
+|-----------|------|---------|-------------|
+| `executor` | `AgentExecutor` | required | An a2a-sdk `AgentExecutor` that implements the agent logic |
+| `agent_card` | `AgentCard` | `None` | Agent metadata. Auto-built from executor if omitted (works best with Strands) |
+| `port` | `int` | `9000` | Port to serve on |
+| `host` | `str` | `None` | Host to bind to. Auto-detected: `0.0.0.0` in Docker, `127.0.0.1` otherwise |
+| `task_store` | `TaskStore` | `None` | Custom task store; defaults to `InMemoryTaskStore` |
+| `context_builder` | `CallContextBuilder` | `None` | Custom context builder; defaults to `BedrockCallContextBuilder` |
+| `ping_handler` | `Callable[[], PingStatus]` | `None` | Custom health check callback |
+| `**kwargs` | | | Additional arguments forwarded to `uvicorn.run()` |
+
+### `build_a2a_app(executor, agent_card=None, *, task_store=None, context_builder=None, ping_handler=None)`
+
+Builds a Starlette ASGI application without starting a server. Useful for testing or embedding in a larger app.
+
+Returns a `Starlette` application with routes:
+- `POST /` — A2A JSON-RPC endpoint (`message/send`, `message/stream`, `tasks/get`, `tasks/cancel`)
+- `GET /.well-known/agent-card.json` — Agent card discovery
+- `GET /ping` — Bedrock health check
+
+### `build_runtime_url(agent_arn, region=None)`
+
+Builds the Bedrock AgentCore runtime invocation URL from an agent ARN.
+
+```python
+from bedrock_agentcore.runtime import build_runtime_url
+
+url = build_runtime_url("arn:aws:bedrock-agentcore:us-east-1:123456789012:runtime/my-agent-abc123")
+# https://bedrock-agentcore.us-east-1.amazonaws.com/runtimes/arn%3Aaws%3A.../invocations
+```
+
+### `BedrockCallContextBuilder`
+
+Extracts Bedrock runtime headers from incoming requests and propagates them into `BedrockAgentCoreContext` contextvars. This is the default `context_builder` used by `build_a2a_app` and `serve_a2a`.
+
+Headers extracted:
+- `X-Amzn-Bedrock-AgentCore-Runtime-Session-Id` — session ID
+- `X-Amzn-Bedrock-AgentCore-Runtime-Request-Id` — request ID (auto-generated UUID if missing)
+- `WorkloadAccessToken` — workload access token
+- `OAuth2CallbackUrl` — OAuth2 callback URL
+- `Authorization` — authorization header
+- `X-Amzn-Bedrock-AgentCore-Runtime-Custom-*` — custom headers
+
+## Behavior Details
+
+### Agent Card Auto-Population
+
+When deployed on Bedrock AgentCore, the `AGENTCORE_RUNTIME_URL` environment variable is set automatically. The agent card's `url` field is updated to match, so you don't need to hardcode the deployed URL.
+
+### Docker Host Detection
+
+When `host` is not specified, `serve_a2a` automatically binds to `0.0.0.0` inside Docker containers (detected via `/.dockerenv` or `DOCKER_CONTAINER` env var) and `127.0.0.1` otherwise.
+
+### Custom Ping Handler
+
+```python
+from bedrock_agentcore.runtime import serve_a2a
+from bedrock_agentcore.runtime.models import PingStatus
+
+def my_ping():
+    if is_overloaded():
+        return PingStatus.HEALTHY_BUSY
+    return PingStatus.HEALTHY
+
+serve_a2a(executor, ping_handler=my_ping)
+```
+
+If the ping handler raises an exception, the server falls back to `PingStatus.HEALTHY`.

pyproject.toml

@@ -86,6 +86,9 @@ select = [
 "!src/**/*.py" = ["D"]
 "src/bedrock_agentcore/memory/metadata-workflow.ipynb" = ["E501"]
 
+[tool.ruff.lint.isort]
+known-third-party = ["a2a"]
+
 [tool.ruff.lint.pydocstyle]
 convention = "google"
 
@@ -150,9 +153,11 @@ dev = [
     "wheel>=0.45.1",
     "strands-agents>=1.18.0",
     "strands-agents-evals>=0.1.0",
+    "a2a-sdk[http-server]>=0.3",
 ]
 
 [project.optional-dependencies]
+a2a = ["a2a-sdk[http-server]>=0.3"]
 strands-agents = [
     "strands-agents>=1.1.0"
 ]

src/bedrock_agentcore/runtime/__init__.py

@@ -14,7 +14,21 @@
 __all__ = [
     "AgentCoreRuntimeClient",
     "BedrockAgentCoreApp",
+    "BedrockCallContextBuilder",
     "RequestContext",
     "BedrockAgentCoreContext",
     "PingStatus",
+    "build_a2a_app",
+    "build_runtime_url",
+    "serve_a2a",
 ]
+
+
+def __getattr__(name: str):
+    """Lazy imports for A2A symbols so the a2a-sdk optional dependency is not required at import time."""
+    _a2a_exports = {"BedrockCallContextBuilder", "build_a2a_app", "build_runtime_url", "serve_a2a"}
+    if name in _a2a_exports:
+        from . import a2a as _a2a_module
+
+        return getattr(_a2a_module, name)
+    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")