A Practical Starter Blueprint for AI Agents

A Practical Starter Blueprint for AI Agents

Most first agent architectures are either too small (single prompt loop) or too complex (distributed orchestration before product validation).

A better starting point is a three-part blueprint that stays simple and production-credible.

Starter Architecture

Use these components:

• Orchestrator service
• Tool workers
• Shared BaseKV state

The orchestrator decides what to do next, workers execute bounded tasks, and BaseKV stores durable workflow state.

Minimal Data Contract

Start with a compact key schema:

wf:{id}:input
wf:{id}:plan
wf:{id}:step:{n}:status
wf:{id}:step:{n}:output
wf:{id}:result
wf:{id}:errors

You can build many workflows with just this.

Execution Loop

1. Orchestrator writes workflow input
2. Plan is generated and stored
3. Each step is dispatched to a worker
4. Worker writes output and status
5. Orchestrator evaluates completion and finalizes result

Because each step is persisted, retries are straightforward and safe.

Security Baseline

For a first production version, include:

• Dedicated machine tokens per service role
• Namespace-restricted write permissions
• Rate limits on all mutating paths
• Human override path for failed workflows

Do this before adding advanced reasoning features.

Cost Baseline

Set cost controls early:

• Budget key checked before expensive operations
• Cache deterministic tool outputs
• TTL for intermediate artifacts
• Concurrency caps per workspace

This keeps early deployments stable on constrained plans.

Why This Works with BaseKV

This blueprint maps cleanly to BaseKV strengths:

• Durable step checkpoints
• Simple key-addressable workflow state
• Predictable behavior under retries
• Easy exports for offline debugging

You avoid overbuilding while still getting operational guardrails.

What to Add Next

After this baseline is stable, add in order:

1. Better observability and trace keys
2. Dead-letter handling for failed steps
3. Smarter routing between model/tool tiers
4. Human approval gates for sensitive actions

Closing

A good starter architecture is boring by design. If your workflow state is explicit, durable, and bounded, agent features can evolve safely without constant rewrites.

Want to launch this blueprint quickly? Create a BaseKV workspace.