acdl/.ciagent/PROJECT.md

ACDL — Agentic Cloud Delivery Platform

Vision / Core Value

A 30-minute executive demo proving that infrastructure can be delivered automatically, safely, and with a complete audit trail — without the usual weeks of manual tickets, reviews, and copy-pasted configuration. Because the demo runs entirely on local stubs (no AWS/GCP/Azure, no external LLM APIs), it shows intent and safety behavior rather than provisioning real cloud resources.

Objective

Build a runnable demo (Linux + GitHub/Gitea Actions) that walks executives through four acts:

1. Act 1 — The Friction: the old manual 2-week deployment process.
2. Act 2 — Developer Self-Service: commit a valid contract.yaml for l2-commodity-price-feed, watch Dev auto-run, QA + Prod approval gates, then the evidence timeline.
3. Act 3 — Citizen Developer: open a GitHub Issue with natural-language intent; the Python keyword parser generates the same contract.yaml and triggers the identical pipeline.
4. Act 4 — The Safety Net: commit a malicious contract.yaml (public-ingress: true) for l2-regulatory-reporting; the pipeline halts in Dev because the confidence signal drops below 0.50, and the rejection is visible on the evidence stream.

Requirements

Validated

• Three repos under the continuous-intelligence Gitea org: acdl (platform + stubs + reusable workflows), acdl-contracts (developer surface), acdl-evidence (GitHub Pages audit timeline).
• L1 modules (single-purpose, substrate-agnostic, max-depth-1 primitives) as folders with manifest.yaml + mock_apply.sh.
• L2 modules (composed stacks, max-depth-5) grouping L1s into deployable service shapes.
• L3A developer surface: commit contract.yaml to acdl-contracts.
• L3B agentic surface: Python keyword parser turning an Issue body into contract.yaml.
• Confidence signal: base 0.90, drops to 0.40 on policy violation; gate threshold ≥ 0.50.
• Evidence stream: hash-chained audit.json published via Pages + vanilla-JS index.html timeline.
• Reusable CI workflow: Dev (autonomous) → QA (manual approval) → Prod (manual approval) → finalize.

Active

• 8 L1 modules (serverless/container focus): l1-eks-fargate, l1-iam-role, l1-lambda, l1-api-gateway, l1-eventbridge, l1-sqs, l1-s3, l1-cloudwatch.
• 4 L2 modules mirroring S&P Global Energy / Platts use cases: l2-invoice-service, l2-commodity-price-feed, l2-energy-analytics-api, l2-regulatory-reporting.
• 5 core scripts: mock_executor.sh, policy_checker.py, confidence_signal.py, evidence_writer.py, l3b_agent_stub.py.
• Issue-triggered workflow in acdl-contracts that runs the L3B parser, commits a new branch, closes the issue, and triggers the main pipeline.
• Evidence stream UI (index.html) fetching audit.json and rendering events as a timeline.

Out of Scope

• Real cloud provisioning (AWS/GCP/Azure).
• Real LLM inference / external AI APIs.
• Production-grade infrastructure or multi-tenant isolation.
• Real cryptographic tamper-proofing (the hash chain is demonstrative, not adversarially secure).

Constraints

• Environment: local Linux OS.
• CI/CD: GitHub/Gitea Actions + Environments (QA, Prod approval gates).
• No cloud — absolutely no AWS, GCP, or Azure resources.
• No AI — no OpenAI or external LLM APIs; the "Agentic" part is a keyword parser.
• All state in flat JSON files or CI artifacts.
• Compute strategy: EKS Fargate + serverless primitives (no VPC module).
• L1 modules are single-purpose, substrate-agnostic, do not compose with other L1s.
• L2 modules combine L1 primitives into deployable shapes, max depth 5.

Context

• Forge: Gitea at https://git.cloudinit.dev, org continuous-intelligence.
• The acdl repo already exists (empty) at org root and serves as the platform/meta repo.
• acdl-contracts and acdl-evidence will be created as additional repos in the same org.
• act_runner / Gitea Actions is the CI runtime; "GitHub Actions" workflow YAML is reused as-is.

Key Decisions

ID	Decision	Rationale	Outcome
D-001	Use Gitea org continuous-intelligence for all repos	User-specified target org; already exists	Single source of truth for the demo
D-002	Map "GitHub Actions" to Gitea Actions (act_runner)	Environment is Gitea; same workflow YAML syntax	Demo runs on the actual forge
D-003	Collapse acdl-platform into the existing acdl repo	acdl already exists empty at org root	3 repos total: acdl, acdl-contracts, acdl-evidence
D-004	Use Gitea environment blocks + required reviewers for QA/Prod; fallback to manual workflow_dispatch with approval input	Approval gates required by spec; forge supports environment protection	Frictionless approval gates
D-005	Hash-chained ledger (prev_hash + own hash) for evidence; declared demonstrative	Spec asks for simple JSON; chain gives visible tamper-evidence	Visible audit timeline without overengineering
D-006	Confidence gate threshold = 0.50 exactly	Explicit in spec	Acts 2/4 behave as scripted
D-007	Each mock_apply.sh echoes [L1: <name>] applying... + OK, sleeps 1s, exits 0	Spec literal; uniformity aids timeline parsing	Predictable evidence events
D-008	Keyword→stack mapping for L3B: gas/price/ingest/data-lake → commodity-price-feed; invoice/billing → invoice-service; analytics/historical/query → energy-analytics-api; regulatory/compliance/reporting/trading → regulatory-reporting; fallback → invoice-service	Mirrors the 4 L2 modules + Act 3 example issue	Act 3 reproduces deterministic behavior
D-009	Init milestone = v1.0, branch milestone/v1.0-initial	init.md Step 5 mandate	Branching strategy follows convention
D-010	Single-project mode for the acdl checkout	User chose standalone single-project	---ci--- blocks omit project: field