Phase 0: CDK stack + Lambdas + AgentCore Runtime 1 scaffold

- CDK TypeScript stack (AgentClawStack):
  - S3 workspace bucket with BucketDeployment seed
  - DynamoDB session-store (actor_id → session_id, TTL)
  - SQS FIFO message queue (serialized per actor)
  - Lambda: tg-ingest (webhook validation, typing action, SQS enqueue)
  - Lambda: agent-runner (SQS → InvokeAgentRuntime, session management)
  - API Gateway HTTP: POST /telegram → tg-ingest
  - AgentCore Runtime 1 IAM execution role
  - CDK outputs: WebhookUrl, WorkspaceBucketName, Runtime1RoleArn

- Runtime 1 (Python + Strands + BedrockAgentCoreApp):
  - main.py: entrypoint, Strands agent, tool wiring
  - channels/: ChannelAdapter Protocol + TelegramAdapter (decoupled)
  - tools/: web_search (Brave), web_fetch, read/write_workspace_file, send_message
  - prompt_builder.py: loads SOUL.md/AGENTS.md/USER.md from S3 (cached)

- Lambdas:
  - tg-ingest: validate X-Telegram-Bot-Api-Secret-Token, send typing, enqueue FIFO
  - agent-runner: session lookup/create in DDB, bundle batched messages, InvokeAgentRuntime

- workspace/: seed files (SOUL.md, AGENTS.md, USER.md, IDENTITY.md, HEARTBEAT.md)

NOTE: AgentCore Runtime 1 creation via CfnResource deferred — deploy CDK first,
create runtime manually with the output Role ARN, then redeploy with runtime1Arn context param.

src/runtime-1/tools/messaging.py

@@ -0,0 +1,21 @@
+"""Messaging tool — channel-adapter-backed send_message for the agent."""
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from channels.adapter import ChannelAdapter
+
+# Injected by main.py before each invocation
+_adapter: 'ChannelAdapter | None' = None
+
+
+def set_adapter(adapter: 'ChannelAdapter') -> None:
+    global _adapter
+    _adapter = adapter
+
+
+def send(text: str) -> str:
+    """Send a message to the user via the active channel adapter."""
+    if _adapter is None:
+        return 'No channel adapter configured.'
+    msg_id = _adapter.send(text)
+    return f"Sent (id={msg_id})" if msg_id else 'Sent'