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Add bootstrap MVP readiness report
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# Bootstrap MVP Readiness
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Agent Machine is now a coherent bootstrap runtime-control substrate. It is not production-ready, but it has crossed the threshold from design notes into an executable control-plane prototype with typed contracts, deterministic renderers, governance semantics, evidence stubs, activation decisions, install surfaces, and operator quickstart coverage.
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## Current readiness status
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| Area | Status | Notes |
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| --- | --- | --- |
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| Contract schemas | Bootstrap-ready | Core schemas exist and are validated by `make validate`. |
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| Examples | Bootstrap-ready | Examples cover AgentMachine, AgentPod, InferenceProvider, CacheTier, receipts, evidence, policy, grants, and activation decisions. |
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| Renderers | Bootstrap-ready | Plan, receipt, Quadlet, and Kubernetes renderers are package-owned and wrapper-exposed. |
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| Deployment skeletons | Bootstrap-ready | Local Quadlet and Kubernetes/TopoLVM skeletons exist and are compared against generated outputs. |
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| Storage receipts | Bootstrap-ready | Local LVM and TopoLVM receipt examples exist; activation evaluation can resolve receipts from files/directories. |
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| Governance semantics | Bootstrap-ready | PolicyAdmission and AgentRegistryGrant semantics are validated beyond JSON Schema. |
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| Activation decisions | Bootstrap-ready | Activation decisions can be evaluated from AgentPod + PolicyAdmission + AgentRegistryGrant + receipts. |
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| CLI | Bootstrap-ready | Shell bootstrap CLI delegates render and activation evaluation to Python package CLI. |
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| Homebrew install | Bootstrap-ready, not fully self-contained | Formula installs package source and examples; Python render dependencies remain documented external deps. |
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| CI visibility | Blocked | Workflow/status queries through the connector return no runs/statuses. Tracked in Issue #2. |
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| Runtime activation | Not implemented | No provider is started; activation evaluation remains a decision artifact only. |
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| Production readiness | Blocked by design | Release gate remains open in Issue #3. |
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## What works structurally
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The current bootstrap chain is:
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```text
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AgentPod JSON
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-> AgentPodDeploymentPlan
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-> DeploymentReceipt
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-> Quadlet / Kubernetes render comparison
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-> StorageReceipt validation
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-> PolicyAdmission semantic validation
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-> AgentRegistryGrant semantic validation
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-> AgentPlaneRuntimeEvidence validation
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-> ActivationDecision evaluation
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```
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The operator path is documented in:
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```text
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docs/quickstart.md
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```
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The release gate is documented in:
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```text
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docs/architecture/world-class-release-gate.md
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```
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## Canonical validation command
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```bash
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make validate
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```
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Current validation stages:
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```text
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validate-json
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validate-yaml
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validate-quadlet
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validate-render
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validate-evidence
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validate-governance
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validate-activation
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validate-package
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validate-cli
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validate-formula
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```
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## Current CLI surfaces
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Safe bootstrap commands:
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```bash
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agent-machine version
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agent-machine paths
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agent-machine doctor --format json
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agent-machine probe --format json
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```
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Render/evidence-planning commands:
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```bash
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agent-machine render plan examples/local-podman-llama-cpp.agent-pod.json --pretty
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agent-machine render receipt examples/local-podman-llama-cpp.agent-pod.json --pretty
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agent-machine render quadlet examples/local-podman-llama-cpp.agent-pod.json --compare deploy/quadlet/agent-machine-llama-cpp.container
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agent-machine render k8s examples/k8s-topolvm.agent-pod.json --compare deploy/k8s/llama-cpp-topolvm-pod.yaml
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```
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Activation evaluation command:
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```bash
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agent-machine activate evaluate \
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examples/local-podman-llama-cpp.agent-pod.json \
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examples/policy-admission.allowed-activation.json \
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examples/agent-registry-grant.active-activation.json \
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--deployment-receipt-id urn:srcos:agent-machine:deployment-receipt:aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa \
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--storage-receipt-dir examples \
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--decided-at 2026-05-04T12:51:00Z \
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--decision-id urn:srcos:agent-machine:activation-decision:local-llama-cpp-allowed \
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--pretty
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```
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## Bootstrap MVP definition
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The bootstrap MVP is considered structurally complete when all of the following are true:
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1. `make validate` passes in a real runner.
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2. GitHub Actions visibility is confirmed or explicitly explained.
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3. Homebrew direct formula installs the bootstrap CLI, package source, docs, contracts, and examples.
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4. `agent-machine doctor --format json` and `agent-machine probe --format json` run without render dependencies.
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5. Render commands fail with clear dependency remediation if `jsonschema`/`PyYAML` are absent.
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6. Render commands work when dependencies are present.
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7. Activation evaluation produces both fail-closed and allowed decision examples deterministically.
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8. The quickstart exercises the path without runtime mutation.
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9. The release gate explicitly marks production blockers.
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## Current blockers to bootstrap MVP completion
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### 1. CI visibility
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The repository has `.github/workflows/validate.yml`, but connector checks repeatedly return no visible workflow runs or statuses for recent commits.
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Tracked by:
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```text
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Issue #2: Verify GitHub Actions visibility for Agent Machine validation workflow
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```
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### 2. Real execution proof
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The repo has validation commands and CI configuration, but this connector path does not prove the workflow ran. A real local or GitHub Actions execution of `make validate` is still required.
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### 3. Dependency packaging policy
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Homebrew currently documents Python render dependencies rather than packaging them as Homebrew resources. This is acceptable for bootstrap, but not release-candidate.
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Tracked by:
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```text
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docs/architecture/homebrew-python-dependencies.md
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```
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## Production blockers
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Agent Machine is not production-ready until these release-blocking gaps are closed:
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- visible green CI run;
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- image digest pinning and provenance gate;
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- real Policy Fabric admission client or endpoint;
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- real Agent Registry grant resolver;
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- real AgentPlane evidence submission/staging client;
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- local LVM provisioning/probe implementation;
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- TopoLVM runtime integration beyond skeleton manifests;
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- provider discovery and activation implementation;
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- M2 Asahi host measurement and provider readiness data;
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- release evidence bundle with signed/provenance artifacts;
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- rollback, teardown, and wipe workflows.
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## Risk posture
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Current bootstrap risk is acceptable for dry-run/operator evaluation because:
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- activation is evaluated, not executed;
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- render artifacts are explicitly not authorization;
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- missing policy or grants fail closed;
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- unsafe storage receipts fail closed;
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- runtime directories are not automatically created;
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- no model provider is started;
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- no raw prompts, KV cache, secrets, or private memory are emitted in receipts.
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Production risk remains unacceptable until live policy, registry, evidence, provenance, and runtime controls are implemented.
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## Recommended next implementation sequence
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1. Confirm `make validate` in a real runner.
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2. Resolve GitHub Actions visibility.
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3. Add image digest pinning/provenance schema fields and strict renderer mode.
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4. Add Policy Fabric client/stub module.
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5. Add Agent Registry client/stub module.
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6. Add AgentPlane evidence staging/submission module.
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7. Add local LVM probe/planning commands.
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8. Add provider discovery commands.
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9. Add controlled provider activation behind ActivationDecision.
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10. Add release evidence bundle generation.

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