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.
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cdk/bin/agent-claw.ts
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cdk/bin/agent-claw.ts
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#!/usr/bin/env node
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import 'source-map-support/register';
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import * as cdk from 'aws-cdk-lib';
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import { AgentClawStack } from '../lib/agent-claw-stack';
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const app = new cdk.App();
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new AgentClawStack(app, 'AgentClawStack', {
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env: {
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account: process.env.CDK_DEFAULT_ACCOUNT,
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region: 'us-east-1',
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},
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description: 'agent-claw: serverless personal assistant on AgentCore',
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});
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