amazon-bedrock-agentcore-samples / receipts-intelligent-document-processing-agent
awslabs/amazon-bedrock-agentcore-samples/02-use-cases/02-workflow-automation-agents/receipts-intelligent-document-processing-agent/AGENTS.md
Guidance for AI agents and contributors working in this sample.
AGENTS.md3.4k starsChanged 4 months ago
What's in it
- AGENTS.md — Receipts IDP on AgentCore
- Orientation
- Conventions (do not break)
- Deploy / test
# AGENTS.md — Receipts IDP on AgentCore Guidance for AI agents and contributors working in this sample. ## Orientation - **How it works:** [docs/ARCHITECTURE.md](docs/ARCHITECTURE.md). **Why each choice:** [docs/decisions/](docs/decisions/) (ADRs). **Knobs:** [docs/CONFIGURATION.md](docs/CONFIGURATION.md). **Guided run:** [docs/tutorial.md](docs/tutorial.md). - **Sibling reference:** `awslabs/agentcore-samples/.../event-driven-claims-agent` — this sample mirrors its layout and conventions. When in doubt, match it. - **Build status:** complete and live-verified end to end — receipt → Textract OCR → dual agent (extractor → independent validator) → Cedar-gated persist or human review, with a model degradation ladder (config-driven model, in-agent 503 step-down, account-level control loop, L4 SQS drain), an event-driven S3 front door, Observability, and Evaluations. All six AgentCore services exercised. ## Conventions (do not break) - **The seam:** `app/receiptsagent/config.py` is the ONLY place env vars are read. The agent must depend on env/AppConfig, never on CLI/CDK specifics, so the deploy mechanism stays replaceable (spec §13). - **Model id is never hardcoded.** It comes from config (the L0 default) and, in a deployed stack, from the active degradation rung. Pass `model_id` into `load_model()`. - **Auth is agent-as-principal M2M Cognito**, not per-user JWT. Per-user data separation is the DynamoDB partition key + each tool only touching its given `userId`. - **Tools are Gateway Lambdas** (`lambdas/<tool>/handler.py` + `lambdas/schemas/<tool>.json` + a `PLACEHOLDER_<TOOL>` target in `agentcore.json` patched by the CDK stack). Keep schema ↔ handler in sync. - **Global inference profile ids** (incl. the `claude-opus-4-6-v1` `-v1` suffix) come from `aws bedrock list-inference-profiles` — never pattern-construct them. - **Grounding:** verify AgentCore APIs against the SDK/docs before writing (Cedar, Gateway, AppConfig especially). Don't write from memory. ## Deploy / test `./deploy.sh <region>` (CDK + Runtime, one command) · `python3 scripts/test_invoke.py` · `./destroy.sh <region>`.
More agent context in awslabs/amazon-bedrock-agentcore-samples
22 other files this repository gives its agents.
AGENTS.md
- 01-features/02-host-your-agent/01-runtime/04-coding-agents/03-code-agents-competition-e2e/coding_agents/codex/AGENTS.md
- 01-features/02-host-your-agent/01-runtime/04-coding-agents/03-code-agents-competition-e2e/coding_agents/open-code/AGENTS.md
- 01-features/05-authenticate-and-authorize/01-inbound-auth/04-inbound-auth-pingfederate/agent/private-idp-ping-agent/AGENTS.md
- 01-features/07-centralize-and-govern-your-ai-infrastructure/02-policy/03-temporal-policies/bankingassistant/AGENTS.md
- 01-features/08-agents-that-transact/01-payments-skills-and-cli/AGENTS.md
- 02-use-cases/02-workflow-automation-agents/event-driven-claims-agent/AGENTS.md
- 06-workshops/03-AgentCore-identity/08-IDP-examples/PingFederate/agent/private-idp-ping-agent/AGENTS.md
Skill
- benefits-advisor01-features/06-observe-evaluate-optimize-your-agent/02-evaluate/skills-evaluation/skills/benefits-advisor/SKILL.md
- pto-planning01-features/06-observe-evaluate-optimize-your-agent/02-evaluate/skills-evaluation/skills/pto-planning/SKILL.md
- pdf01-features/07-centralize-and-govern-your-ai-infrastructure/03-registry/03-advanced/registry-skills-dynamic-discovery/skills/pdf/SKILL.md
- cost-efficiency-analyzer01-features/07-centralize-and-govern-your-ai-infrastructure/03-registry/03-advanced/strands-mcp-ecs-registry/my_skills/cost-efficiency-analyzer/SKILL.md
- executive-financial-briefing01-features/07-centralize-and-govern-your-ai-infrastructure/03-registry/03-advanced/strands-mcp-ecs-registry/my_skills/executive-financial-briefing/SKILL.md
- multi-quarter-trend-analysis01-features/07-centralize-and-govern-your-ai-infrastructure/03-registry/03-advanced/strands-mcp-ecs-registry/my_skills/multi-quarter-trend-analysis/SKILL.md
- quarterly-kpi-calculator01-features/07-centralize-and-govern-your-ai-infrastructure/03-registry/03-advanced/strands-mcp-ecs-registry/my_skills/quarterly-kpi-calculator/SKILL.md
- revenue-growth-analyst01-features/07-centralize-and-govern-your-ai-infrastructure/03-registry/03-advanced/strands-mcp-ecs-registry/my_skills/revenue-growth-analyst/SKILL.md
- earnings-snapshot02-use-cases/01-conversational-agents/market-trends-agent/skills/earnings-snapshot/SKILL.md
- portfolio-risk02-use-cases/01-conversational-agents/market-trends-agent/skills/portfolio-risk/SKILL.md
- sector-rotation02-use-cases/01-conversational-agents/market-trends-agent/skills/sector-rotation/SKILL.md
- trend-analysis02-use-cases/01-conversational-agents/market-trends-agent/skills/trend-analysis/SKILL.md
- weather-reporter06-workshops/01-AgentCore-runtime/01-hosting-agent/06-strands-with-skills/skills/weather-reporter/SKILL.md
- persistent-notes06-workshops/01-AgentCore-runtime/10-managed-session-storage/persistent-notes/SKILL.md
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