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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src/runtime-1/pyproject.toml
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src/runtime-1/pyproject.toml
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[project]
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name = "agent-claw-runtime-1"
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version = "0.1.0"
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requires-python = ">=3.11"
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[build-system]
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requires = ["setuptools"]
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build-backend = "setuptools.backends.legacy:build"
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[tool.setuptools.packages.find]
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where = ["."]
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[project.dependencies]
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strands-agents = ">=0.1.0"
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bedrock-agentcore = ">=0.1.0"
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boto3 = ">=1.34.0"
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