Evidence the run may read
- Current dependency lock data
- Target release notes
- Repository usage and test evidence
production blueprint · engineering
Dependency upgrade plan agent blueprint.
Turn release notes, local usage, and test evidence into a staged upgrade plan with explicit rollback points.
Search intent: AI agent for dependency upgrades
Published by a2a cloudProduct-source methodology →
01 · the contract
Start from a bounded job, not a blank chat box.
trigger
A dependency update, security advisory, or support deadline requires action.
owner
engineering owner
agent stops at
The owning maintainer approves dependency changes and release timing.
KPI · decrease
upgrade lead time (days). Measure advisory or release date to approved upgrade plan.
outputs
Artifacts the run must produce
- Compatibility inventory
- Staged change plan
- Rollback and verification checklist
02 · topology
Small specialists. Named handoffs. One accountable decision.
Each stage produces an artifact another stage can inspect. The final node is a person, not an autonomous write to an external system.
- 01
intake
Validate and normalize the dependency upgrade plan inputs.
- 02
dependency analyst
Produce the compatibility inventory.
- 03
usage mapper
Produce the staged change plan.
- 04
upgrade plan reviewer
Challenge the dependency upgrade plan result and prepare an approval packet.
- 05
engineering owner
The owning maintainer approves dependency changes and release timing.
intake→ validated input packet →dependency-analyst
dependency-analyst→ Compatibility inventory →usage-mapper
usage-mapper→ Staged change plan →upgrade-plan-reviewer
upgrade-plan-reviewer→ approval packet with evidence references →human-approver
03 · authority
Grant the run only what this case needs.
Source material is read-only. Drafts land in a case-specific output path. Tools may read or propose; the human gate owns the external write.
case inputs
workspace/engineering/dependency-upgrade-plan/inputs/**Read only the evidence attached to this workflow instance.
case outputs
workspace/engineering/dependency-upgrade-plan/outputs/**Write drafts and evidence artifacts without modifying source records.
approved tools
engineering:dependency-upgrade-plan:read-or-proposeInvoke only tools explicitly granted for this run; external writes remain gated.
04 · implementation
A private, bounded starting manifest.
The blueprint starts private, caps its DAG, disables replanning, and exposes no public endpoint. Add only the tools and data adapters this workflow has approved.
a2a.yamlsafe starting point
name: engineering-dependency-upgrade-plan
version: 0.1.0
entrypoint: agent:BlueprintAgent
expose:
public: false
composition:
planning: deterministic_dag
max_nodes: 6
max_parallel: 1
max_replans: 005 · acceptance test
Pass only with evidence.
- 01
Evidence traceability
Every material conclusion cites an input artifact or a scoped tool result from this run.
- 02
The plan names known breaking changes, affected call sites, tests to run, and a rollback signal.
The plan names known breaking changes, affected call sites, tests to run, and a rollback signal.
- 03
Approval boundary
The run stops at a proposal and records the human decision before any external side effect.
failure containment
Stop small. Preserve the evidence.
Release notes or local usage data are insufficient to establish compatibility.
Containment: Return a partial result with unresolved items; do not broaden scope or perform an external write.
Operator: Attach the missing evidence, narrow the brief, or explicitly approve a new scoped run.
A required input or tool grant is unavailable.
Containment: Stop the affected branch and preserve completed artifacts in the case output workspace.
Operator: Grant only the missing resource or continue with that branch marked out of scope.
06 · proof
Sign the run facts. Keep money in the billing ledger.
Current platform receipts sign caller identity or classification, skill, bounded input evidence, verified grant IDs when present, outcome or result preview, and timing. Optional file, tool, artifact, handoff, evaluation, and review fields require separate instrumentation and are not populated by default. Price, fees, payouts, and later human approvals remain separate platform records.
The example uses only fields populated by the current platform sealing paths. It is illustrative, not a record of a real customer run.
ExecutionReceipt · selected fieldsEd25519 token
{
"receipt_id": "rcpt_01J...",
"schema_version": 1,
"agent_name": "engineering-dependency-upgrade-plan",
"caller": "user:workflow-owner",
"task_id": "case_dependency_upgrade_plan",
"skill_name": "dependency_upgrade_plan",
"input_hash": "4d7c...9a2f",
"grant_ids": [
"grt_case_inputs",
"grt_tool_propose"
],
"status": "ok",
"result_preview": "Output prepared: Compatibility inventory. Human decision remains separate.",
"elapsed_ms": 4218
}related blueprints
Keep the operating model consistent.
Engineering
Production incident triage
Correlate an alert with deploy and service evidence, rank hypotheses, and hand an incident commander a bounded action packet.
Engineering
Pull request risk review
Review a proposed change against its tests, ownership boundaries, and operational risk before a maintainer merges it.
Engineering
Flaky test diagnosis
Cluster repeated failures, isolate timing or state signals, and propose the smallest experiment that can confirm the cause.
put the pattern to work
Start private. Scope the authority. Require the decision.
Deploy the workflow as a bounded internal agent, verify its outputs and the receipt fields actually emitted, then expand only the scopes your acceptance test proves it needs.