SYSTEM Cited by 2 sources
AgentCore Gateway¶
What it is¶
AgentCore Gateway is the Bedrock AgentCore surface that lets sub-agents invoke external systems (on-prem APIs, AWS services, third-party vendors) through OpenAPI-declared tools + Lambda targets, with auth, request / response validation, and retries handled by the runtime rather than by the agent itself.
"These connections use tools defined with OpenAPI schemas as targets and Lambda-based integrations using AgentCore Gateway. AgentCore Gateway uses these OpenAPI specifications to understand API contracts, handle authentication, validate requests and responses, and manage retries." (Source: sources/2026-04-23-aws-modernizing-kyc-with-aws-serverless-solutions-and-agentic-ai)
Why it exists¶
A multi-agent system where each sub-agent can speak directly to a different on-prem API would smear authentication, retry, schema-validation, and rate-limiting logic across every agent's prompt + code. The Gateway centralises that plumbing:
- OpenAPI is the tool contract. Agents see tools as named capabilities with typed inputs and outputs; the Gateway is the translator from that abstraction to real HTTP. This is the openapi-schema-as-agent-tool-contract pattern crystallised as a runtime feature.
- Auth is a runtime concern. The Gateway holds credentials / OAuth flows / mutual-TLS — not the agent, not the prompt.
- Retries + validation are a runtime concern. If a downstream API returns a 5xx, the Gateway retries with backoff; if a downstream response fails schema validation, the agent sees the error, not a malformed payload.
Pairing with AgentCore Identity¶
systems/agentcore-identity sits immediately adjacent — Identity authorises which agent can invoke which tool; Gateway is the executor once Identity says yes. In the KYC post: "only authorized sub-agents can invoke specific tools and access the Knowledge Base." (Source: same post.)
Role in the KYC architecture¶
Used to bridge the cloud-native agentic layer to on-prem financial systems:
- Customer Management (update verification status, activate accounts)
- Transaction Monitoring (consume fraud alerts, risk scores)
- Case Management (escalate complex cases with agent context)
- Risk / AML systems (bidirectional risk-assessment sync)
- Core Banking (trigger account activation on approved validation)
Each is an OpenAPI-declared Action Group whose targets are Lambda functions running inside the customer VPC with a Direct Connect or Site-to-Site VPN link to the on-prem endpoint.
Caveats¶
- Contract-only disclosure. The post describes Gateway's responsibilities but not its internals — no latency numbers, no retry policy, no authentication mechanism beyond "handle authentication", no failure-mode taxonomy.
- Newer AWS surface. As with the rest of AgentCore, the public documentation still reads as settle-in product rather than hardened platform; expect thicker internals to land.
Seen in¶
- sources/2026-04-23-aws-modernizing-kyc-with-aws-serverless-solutions-and-agentic-ai — OpenAPI-schema + Lambda-target tool contract for five named on-prem financial-system classes (Customer Management, Transaction Monitoring, Case Management, Risk/AML, Core Banking).
- sources/2026-08-19-aws-ai-powered-clinical-trial-eligibility-and-safety-using-amazon-bedrock-agentcore — MCP Gateway connects the clinical-trial screening agents to their tools.
- sources/2026-08-20-aws-how-agentflo-built-ai-sales-agents-with-amazon-bedrock-agentcore —
the integration backbone for AgentFlo: every eCommerce integration (Shopify,
WooCommerce, Magento, SAP, payment/shipping/loyalty) is an MCP server
connector;
list_tools_sync()exposes the whole tool surface; OAuth/platform credentials live in the Gateway, not agent sessions (patterns/central-proxy-choke-point). Tool execution scales separately from agent reasoning. - sources/2026-08-21-aws-how-agentflo-built-ai-sales-agents-with-amazon-bedrock-agentcore-part-2 — Part 2 adds two Gateway roles: during tool execution it verifies identity and enforces order locks + tool-scope policies (the middle layer of AgentFlo's three-layer guardrails); and its ARN can be passed to the Bedrock Responses API as an MCP connector so Bedrock runs the whole tool loop server-side (server-side-tool-execution, ~30% lower latency for short tool loops). Each new integration remains "another MCP server connector on the Gateway."
- sources/2026-08-26-aws-closing-the-ai-agent-trust-gap-with-graduated-autonomy — the Gateway is the enforcement chokepoint in graduated autonomy: it routes every MCP tool invocation through Policy (Cedar, forbid-wins), and in enforce mode it lists only the tools policy could permit — so a tier's unconditional forbids keep blocked tools out of the listing entirely ("the agent is unlikely to call a tool it has never seen"). Listing is a meta-action; each invocation is still evaluated separately with full request context including input parameters. An emergency-stop deny-all policy makes the Gateway deny all invocations within seconds, no redeploy (emergency-stop-deny-all).
- sources/2026-09-11-aws-from-zero-shot-forecast-to-purchase-order-with-agentcore —
the Gateway registers exactly one of eight tools (
save_decision, the authoritative order-record write) in a four-agent inventory pipeline. The design rule: put a tool behind the Gateway only when a wrong call propagates externally — reads and pure functions stay in-process.generate_forecast_chartalso writes S3 but stays in-process (a chart is not a decision of record). Paired with Policy, two Cedar rules apply at this boundary:allow_write_reporting_onlyand adeny_high_value_ordersforbid oncontext.input.budget_used > 50000. Canonical instance of the in-process-vs-Gateway boundary test.