42 lines
1.8 KiB
Bash
42 lines
1.8 KiB
Bash
#!/usr/bin/env bash
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# AgentCore setup (steps 3-4-7). Terraform's AgentCore coverage lags, so this
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# stage uses the AgentCore CLI / SDK. Commands below reflect the current CLI
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# shape -- CHECK against `agentcore --help`, the surface moves fast.
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set -euo pipefail
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: "${REGION:?set REGION}"
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: "${RAG_LAMBDA_ARN:?set RAG_LAMBDA_ARN (from: terraform output -raw rag_lambda_arn)}"
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: "${BEDROCK_MODEL_ID:=anthropic.claude-3-5-sonnet-20241022-v2:0}"
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echo "==> 1. Install the AgentCore CLI (recommended tooling)"
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echo " npm install -g @aws/agentcore # or: pip install bedrock-agentcore-starter-toolkit"
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echo "==> 2. Create a Gateway that exposes the RAG Lambda as an MCP tool"
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echo " AgentCore Gateway turns a Lambda into an MCP tool with no code changes."
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cat <<EOF
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agentcore gateway create \\
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--name hncb-rag-gateway \\
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--region ${REGION} \\
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--target-type lambda \\
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--target-arn ${RAG_LAMBDA_ARN} \\
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--tool-name get_customer_activity_summary \\
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--tool-description "Return a de-identified activity summary for a customer TOKEN" \\
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--tool-schema file://../agent/tool_schema.json
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# Note the printed Gateway MCP URL -> export AGENTCORE_GATEWAY_URL=...
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EOF
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echo "==> 3. Deploy the agent to AgentCore Runtime"
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cat <<EOF
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cd ../agent
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agentcore configure --entrypoint agent.py --name hncb-advisor-agent --region ${REGION}
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AGENTCORE_GATEWAY_URL=<from step 2> BEDROCK_MODEL_ID=${BEDROCK_MODEL_ID} \\
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agentcore launch
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# Note the printed Runtime ARN -> Fusion will invoke this.
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EOF
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echo "==> 4. (recommended) Lock the Runtime to accept calls only from the Gateway"
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echo " Use a resource policy (SigV4) or allowedWorkloadConfiguration (JWT)."
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echo " See AgentCore 'Runtime targets' docs."
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echo "Done printing steps. Fill AGENTCORE_GATEWAY_URL + Runtime ARN into fusion/POLICY_SETUP.md."
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