AGENTS.md Template for API Versioning Strategy

Overview

Direct answer: This AGENTS.md Template provides a repeatable, auditable operating context for single-agent and multi-agent orchestration to manage API versioning strategy, including roles, memory, tool governance, and escalation rules. It codifies how AI coding agents collaborate to version APIs, migrate consumers safely, and maintain backward compatibility.

The AGENTS.md template explains the governance pattern, the explicit handoffs, the sourcing of truth, and the controls that ensure changes to API versioning are intentional, reviewed, and traceable. It supports both an autonomous agent and a multi-agent orchestration rhythm.

When to Use This AGENTS.md Template

• When planning or executing an API versioning strategy across multiple services or teams.
• When introducing versioned contracts (OpenAPI) and deprecation policies requiring coordination across agents.
• When you need auditable decision logs, gated promotions to production, and a clear handoff protocol.
• When establishing governance for version increments, migrations, and consumer-impact assessments.

Copyable AGENTS.md Template

# AGENTS.md

Project role: API Versioning Platform Owner

Agent roster and responsibilities:
- Planner: defines objectives, success criteria, and sequencing for API versioning changes.
- PolicyDesigner: designs versioning policy (major/minor/patch, deprecation timelines, consumer impact rules).
- Implementer: updates OpenAPI specs, routing, and migrations to support new versions.
- Validator: runs contract tests, compatibility checks, and regression validation against existing clients.
- Reviewer: ensures docs, release notes, deprecation notices, and governance compliance.
- Researcher: gathers industry best practices and evolving standards for versioning.
- SRE: validates deployment readiness, rollback plans, and observability requirements.
- Security: ensures secrets management and policy enforcement in all steps.
- DomainExpert: provides domain-specific guidance for changes affecting business logic.

Supervisor / Orchestrator behavior:
- The Orchestrator triggers tasks, monitors progress, enforces deadlines, and raises escalation if SLAs are missed or risks exceed thresholds.
- It ensures idempotent operations and maintains a single source of truth repository for policy and version mappings.

Handoff rules between agents:
- Planner ➜ Implementer: handoff versioning objectives and spec changes.
- Implementer ➜ Validator: handoff completed changes for testing and verification.
- Validator ➜ Reviewer: handoff validated results and release readiness.
- Researcher ➜ Planner: feed insights, new best practices, or changes in standards.
- DomainExpert ➜ Planner/PolicyDesigner: align domain constraints with policy.

Context, memory, and source-of-truth rules:
- Context keys: API_VERSIONING_CONTEXT, OPENAPI_SPEC_PATH, VERSION_POLICY_DOC.
- Memory: store interim decisions and test results in the repository under docs/versioning and tests/contract.
- Source of truth: OpenAPI specs in api-versioning/vX/openapi.yaml, policy docs in docs/versioning/policy.md, and test results in tests/contract.

Tool access and permission rules:
- Tools: git, CI/CD, OpenAPI generation tools, issue tracker, secret store.
- Permissions: read access for Analysts, write access for Implementers, Validators, and Planning Owners; secrets only via vault with approvals.

Architecture rules:
- Monorepo layout, versioned APIs under api-versioning/vX with explicit vX directories.
- Backward compatibility checks during version increments; deprecate old versions per policy; publish consumer migration plan.

File structure rules:
- api-versioning/vX/openapi.yaml
- api-versioning/vX/migrations/
- docs/versioning/policy.md
- tests/contract/
- agents/planner/, agents/implementer/, agents/validator/, agents/reviewer/

Data, API, or integration rules:
- OpenAPI 3.x spec for API contracts; versioning decisions must update the spec and migration guide.
- All integration tests must pass before promotion to production.

Validation rules:
- Contract tests pass, version policy validated, and migration plan tested in CI.
- OpenAPI schema validity and compatibility checks must succeed.

Security rules:
- Do not log secrets; secrets must be retrieved from a vault; rotate if exposed.
- Avoid embedding credentials in code; restrict API keys to scoped environments.

Testing rules:
- Unit tests for versioning utilities; integration tests for migrations; contract tests for API changes.

Deployment rules:
- Deployments must be gated by test results and security reviews; rollback plan must be present.

Human review and escalation rules:
- If tests fail or policy conflicts arise, escalate to Platform Owner and Product Stakeholders for decision.

Failure handling and rollback rules:
- If a versioning change causes incompatibility, revert to the previous stable version and issue a deprecation notice with a migration path.

Things Agents must not do:
- Do not deploy to production without approvals; do not bypass tests; do not modify policy or contracts without consensus.
# End AGENTS.md

Recommended Agent Operating Model

The recommended operating model defines clear roles, decision boundaries, and escalation paths for API versioning workflows. Planners decide what version changes to pursue; Implementers execute changes in code and specs; Validators verify compatibility; Reviewers sign off; Researchers feed insights; SRE and Security enforce production readiness and safety. Escalations route policy conflicts or failed validations to the Platform Owner. This model supports both single-agent execution and robust multi-agent orchestration with explicit handoff points.

Recommended Project Structure

api-versioning/
├── v1/
│   ├── openapi.yaml
│   └── migrations/
├── v2/
│   ├── openapi.yaml
│   └── migrations/
├── docs/
│   └── versioning/
├── tests/
│   ├── unit/
│   ├── integration/
│   └── contract/
├── agents/
│   ├── planner/
│   │   └── AGENTS.md
│   ├── implementer/
│   ├── validator/
│   ├── reviewer/
│   └── researcher/
├── scripts/
└── configs/

Core Operating Principles

• Single source of truth: policy, versioning decisions, and test results live in the repository.
• Explicit handoffs: every task moves through defined roles with traceable state transitions.
• Idempotent actions: re-running agent steps must not cause duplicate or conflicting changes.
• Evidence-based decisions: policy choices must be supported by tests, docs, and stakeholder input.
• Security-first: secrets never appear in code; access is controlled and audited.
• Observability: results, decisions, and runtimes are logged for auditability.

Agent Handoff and Collaboration Rules

• Planner provides objectives, constraints, and success criteria to Implementer.
• Implementer produces code/spec changes and migration steps for Validator to test.
• Validator executes contract and compatibility tests; returns pass/fail and remediation guidance.
• Reviewer confirms docs, release notes, and compliance; approves for deployment after Validator success.
• Researcher supplies external guidance and updates to policy when standards shift; Planner evaluates impact.
• DomainExpert validates business constraints with policy changes before Planner finalizes direction.

Tool Governance and Permission Rules

• Command execution limited to approved scripts and CI actions; avoid direct shell access to production environments.
• File edits restricted to the agent roles with required approvals; maintain an audit trail.
• API calls and external service integrations must use scoped credentials and secrets management.
• Production changes require a gated approval from the Planner and Reviewer and must pass all tests.
• OpenAPI and schema changes require approval from DomainExpert and Security reviewers.

Code Construction Rules

• Follow OpenAPI 3.x standards for specs; versioning uses explicit vX directories and migration scripts.
• All changes must include unit tests, contract tests, and regression checks against existing versions.
• Do not duplicate policy rules; reference existing policy docs when possible.
• Keep changes granular to minimize blast radius and simplify rollbacks.

Security and Production Rules

• Secrets must be pulled from a vault; no secrets in code or open repositories.
• Production deployments are gated; any hotfix must go through the same validation path as features.
• Deprecation notices must be communicated to API consumers with migration paths.

Testing Checklist

• Unit tests for versioning logic and policy rules.
• Contract tests for OpenAPI compatibility across versions.
• Integration tests for migrations and consumer routing.
• Smoke tests in staging before production deploys.

Common Mistakes to Avoid

• Skipping policy updates or failing to document versioning decisions.
• bypassing tests or skipping contract checks during version increments.
• Unclear handoffs leading to drift between policy, implementation, and validation.
• Leaking credentials or sensitive data into code or logs.

Related implementation resources: AI Use Case for Content Marketers Using Wordpress To Auto-Translate Blog Posts Into Multiple Languages and AI Agent Use Case for Wholesalers Using Multi-Currency Ledger Trackers To Calculate Foreign Exchange Risk Exposure Across Global Accounts.

FAQ

What is the purpose of this AGENTS.md Template for API Versioning?

The template provides a structured, copyable operating manual for AI coding agents to manage API versioning strategy with clear roles, handoffs, and governance.

Who should adopt this AGENTS.md Template?

Platform teams, API program owners, and engineering leaders responsible for API versioning and consumer migration policies.

How are changes validated in this workflow?

Changes pass through Contract tests, OpenAPI schema validation, regression checks, and stakeholder reviews before production promotion.

What happens if a versioning change breaks backward compatibility?

A rollback plan is enacted, the previous stable version is redeployed, and a deprecation path is issued with client migration guidance.

How is security enforced in multi-agent versioning?

Secrets are accessed via vaults, production access is gated, and logs are scrubbed of sensitive data; all changes are auditable.