AGENTS.md Template for Least Connection Routing Strategy

Overview

Direct answer: This AGENTS.md Template for Least Connection Routing Strategy defines roles, memory rules, handoffs, and governance for AI coding agents, enabling effective single-agent and multi-agent orchestration with load-balanced task routing.

The AGENTS.md Template describes a concrete workflow where a Router/Orchestrator assigns tasks to the worker agents with the fewest active connections. It provides explicit rules for planning, implementation, validation, and escalation, ensuring predictable behavior in dynamic workloads and enabling human oversight when needed.

When to Use This AGENTS.md Template

• When you need to balance load across multiple AI coding agents performing code generation, testing, and integration tasks.
• When the workflow requires clear handoffs between planner, implementer, tester, reviewer, and domain specialist agents.
• When tool governance, memory rules, and source-of-truth discipline are critical to reliability and auditability.
• When you want a copyable, project-level operating context that can be pasted into an AGENTS.md file for new or evolving workflows.

Copyable AGENTS.md Template

# AGENTS.md
# AGENTS.md

Project: Least Connection Routing Strategy for AI coding agents.

Agent roster and responsibilities:
- Router Agent (Orchestrator): central point that assigns tasks to the least-connected worker; enforces routing rules; maintains task queue; triggers handoffs; updates memory and source of truth; logs decisions.
- Worker Agent A / B / C: execute assigned tasks, report progress and results; update per-agent state; ensure idempotence and clear task completion signals.
- Domain Specialist Agent (on demand): provides domain-specific data or validation when tasks require specialized knowledge.

Supervisor or orchestrator behavior:
- The Router Agent continuously measures per-agent workload and chooses the target worker with the fewest active connections.
- Enforce timeouts, retries, and escalation to human review if tasks stagnate or failures exceed thresholds.
- Maintain an auditable history of routing decisions and task outcomes in a central memory store.

Handoff rules between agents:
- Router assigns to a Worker; if the task requires domain data, consult Domain Specialist and hand off accordingly.
- On completion, router performs post-processing, validation, or next-step handoff to Tester/Reviewer if required.
- All handoffs update the central task context and memory with provenance and state changes.

Context, memory, and source-of-truth rules:
- Source-of-truth: Central Task Queue and Federation Memory Store; all agents read and update only permitted keys.
- Context: Each task carries payload, history, constraints, and relevant domain data; memory caches task state for fast lookup.
- Memory updates are append-only for auditability; sensitive data is masked where appropriate.

Tool access and permission rules:
- Access to tools (Code Editor, Execution Sandbox, APIs) is granted per-agent role; actions must be auditable and reversible where possible.
- Secrets are retrieved from a Secrets Vault via authenticated calls; no hard-coded secrets in code or templates.

Architecture rules:
- Stateless workers; centralized orchestrator holds routing state; event-based updates to memory and logs.
- Deterministic routing: tasks are assigned strictly by the least-connection metric; randomization is avoided unless required for resilience.

File structure rules:
- Keep all workflow-specific assets under workflows/least-connection/ with clear naming.
- Do not commit irrelevant tooling or unrelated templates into this AGENTS.md template.

Data, API, or integration rules:
- Payloads include task_id, task_type, constraints, and context refs; all API calls must validate input against a schema.
- Integrations should expose idempotent endpoints and support retries with exponential backoff.

Validation rules:
- Outputs must include task_id, status, and a deterministic result object; failures must be captured with error codes and messages.

Security rules:
- Do not log secrets or raw credentials; use encryption at rest and TLS for all in-flight data.
- Production actions require explicit approval gates and audit trails.

Testing rules:
- Unit tests for each agent's behavior; integration tests covering end-to-end routing, handoffs, and failure scenarios.
- Include end-to-end tests for feel of least connections under varying load.

Deployment rules:
- CI/CD with environment promotion; canary release for orchestrator changes; rollbacks must restore prior memory state.

Human review and escalation rules:
- If a task fails after N retries, escalate to human; provide task context and logs for triage.
- Human reviews can re-route tasks or adjust policies in real time.

Failure handling and rollback rules:
- Retry up to N times with incremental backoff; on persistent failure, rollback to previous task state and notify the supervisor.
- Rollback should revert any state changes in the central memory store.

Things Agents must not do:
- Do not bypass routing rules or modify the least-connection policy.
- Do not access production databases directly or execute unsafe code paths.
- Do not leak memory or leak sensitive data into logs.
- Do not perform unsanctioned tool usage or deploy changes without approval.

Recommended Agent Operating Model

The operating model defines clear roles, decision boundaries, and escalation paths to support both single-agent and multi-agent orchestration using least connection routing. The Router acts as the decision-maker, while Worker Agents execute tasks. Domain Specialists provide expertise as needed. Handoffs are explicit, traceable, and governed by a single source of truth.

Recommended Project Structure

project/
├─ workflows/
│  └─ least-connection/
│     ├─ AGENTS.md
│     ├─ configs/
│     ├─ policies/
│     ├─ docs/
│     └─ tests/
└─ shared/

Core Operating Principles

• Single source of truth for task state and decisions.
• Deterministic, auditable routing decisions based on least connections.
• Explicit, documented handoffs between planner, implementer, tester, reviewer, and domain specialist.
• Strict tool governance and secrets handling.
• Idempotent task execution and safe rollback procedures.

Agent Handoff and Collaboration Rules

• Planner to Implementer: hand off task context with constraints and success criteria.
• Implementer to Reviewer: provide code artifacts and tests; request validation before merge.
• Researcher/Domain Specialist: supply domain data when required; feed back to planner.
• Orchestrator: enforce SLA, track progress, and re-route on timeouts or failures.

Tool Governance and Permission Rules

• Only permitted tools per role; all calls auditable.
• Secrets must be retrieved from a central vault; no hard-coded secrets.
• All API calls require authentication tokens with scoped permissions.
• Production access requires approval gates and monitoring.

Code Construction Rules

• Code must be modular, testable, and idempotent.
• Handoffs must propagate context and maintain traceability.
• Outputs should be validated against a defined schema before advancing.
• Avoid duplicating work across workers; reuse cached results when valid.

Security and Production Rules

• All data in transit must be encrypted; secrets never logged.
• Production changes require approval and a rollback plan.
• Audit logs retained for compliance and debugging.

Testing Checklist

• Unit tests for each agent’s behavior and edge cases.
• Integration tests for end-to-end routing, handoffs, and data flows.
• Load tests validating performance of least-connection routing under varying workloads.
• Security tests focusing on secret handling and access controls.
• Deployment tests with canary rollout and rollback verification.

Common Mistakes to Avoid

• Assuming a single agent is always enough for complex tasks.
• Overlooking border cases in handoffs between agents.
• Logging sensitive data or failing to encrypt secrets.
• Ignoring state drift or failing to update the source of truth on retries.
• Skipping validation when tasks transition between stages.

Related implementation resources: AI Agent Use Case for Wholesalers Using Multi-Currency Ledger Trackers To Calculate Foreign Exchange Risk Exposure Across Global Accounts and AI Use Case for Corporate Event Managers Using Slack To Orchestrate Day-Of Venue Tasks Across Multi-Department Teams.

FAQ

What is the purpose of the AGENTS.md Template for Least Connection Routing?

It defines roles, rules, and handoffs for AI coding agents using a least connection routing strategy to balance tasks.

Can this AGENTS.md Template be used for single-agent and multi-agent setups?

Yes; it supports both with explicit handoffs and orchestration policies that scale with the number of workers.

What are the critical rules included?

Handoff, memory/cache, source-of-truth, tool access, security, testing, deployment, and escalation rules.

How should I structure the project?

Follow the Recommended Project Structure with a directory tree included in the template to keep workflow assets organized.

How is security enforced?

Tool governance, secret handling, production safeguards, and approval gates are specified to prevent unauthorized access and data leakage.