Agent Architecture Audit

Agent Architecture Audit

Evaluates an existing agent codebase against 12 production infrastructure primitives derived from Claude Code's internal architecture. Returns a gap analysis ranked by severity with a phased upgrade path.

Trigger

Use when the user says "audit my agent", "agent architecture review", "what infrastructure am I missing", "agent readiness check", "12 primitives", "production readiness audit", or asks whether their agent system is ready for production.

Phase 1: Identify the Agent Codebase

Determine what to audit:

1. If the user specifies a path, use that
2. If in a project directory with agent code, use that
3. Ask the user to point you at the codebase

Scan for agent infrastructure signals:

• Entry points (main loop, server start, CLI handler)
• Tool/function calling patterns
• LLM API calls (Anthropic, OpenAI, Google, etc.)
• State management (DB, files, in-memory)
• Configuration files (settings, env, hooks)

Phase 2: Evaluate Against 12 Primitives

Score each primitive as PRESENT, PARTIAL, or MISSING. For each, check specific indicators:

Day-One Primitives (must-have before first user)

1. Permission Model

• Are destructive tools gated behind approval?
• Are there deny-lists or allow-lists per mode/context?
• Indicators: permission checks, approval flows, tool filtering

2. Token Budget Guardian

• Is there a pre-turn token budget check?
• Does the system halt gracefully on budget exhaustion?
• Indicators: token counting, budget ceiling, stop-on-exceed logic

3. Crash Recovery / Checkpointing

• Is session state persisted after significant events?
• Can the agent resume after an unexpected crash?
• Indicators: state serialization, checkpoint writes, resume logic

4. Health Check / Doctor

• Can the agent validate its own dependencies at startup?
• Are API credentials, connections, and tools verified?
• Indicators: startup validation, /doctor or health endpoint, dependency checks

Week-One Primitives (needed for reliable daily use)

5. Tool Pool Assembly

• Are tools filtered by context/mode/permissions?
• Is the system prompt minimized by excluding irrelevant tools?
• Indicators: dynamic tool lists, mode-based filtering, tool registry

6. Streaming Event System

• Are typed events emitted during execution?
• Can external systems observe agent progress in real-time?
• Indicators: event emitters, typed event schemas, SSE/websocket streams

7. State Machine with Idempotency

• Are long-running workflows modeled as explicit states?
• Do retries avoid double-firing side effects?
• Indicators: state enums, transition guards, idempotency keys

8. Stop Reason Taxonomy

• Does every conversation end with a structured stop reason?
• Are stop reasons distinguishable (completed, budget, error, timeout, cancelled)?
• Indicators: stop reason enums, structured return values, exit handlers

Month-One Primitives (for production maturity)

9. Staged Boot Sequence

• Is initialization ordered and parallelized where possible?
• Do failures at any stage produce clear diagnostics?
• Indicators: boot phases, parallel init, pre-validation

10. Verification Harness

• Are there invariant tests for agent behavior?
• Do tests cover: destructive tool approval, schema validation, budget stops?
• Indicators: test suites, invariant assertions, CI integration

11. Memory with Decay and Provenance

• Does memory track source, age, and trust level?
• Do old memories decay or get consolidated?
• Indicators: memory metadata, aging logic, provenance fields

12. Provenance-Aware Context Assembly

• Are context fragments tagged with source and trust level?
• Are contradictions between sources detected?
• Indicators: metadata on injected context, source tracking, conflict flags

Phase 3: Score and Rank

Produce a scorecard:

Agent Architecture Audit
========================
Codebase: [path or name]
Date: [today]

Day-One Primitives (Critical)
  1. Permission Model        [PRESENT / PARTIAL / MISSING]
  2. Token Budget Guardian    [PRESENT / PARTIAL / MISSING]
  3. Crash Recovery           [PRESENT / PARTIAL / MISSING]
  4. Health Check             [PRESENT / PARTIAL / MISSING]

Week-One Primitives (Important)
  5. Tool Pool Assembly       [PRESENT / PARTIAL / MISSING]
  6. Streaming Events         [PRESENT / PARTIAL / MISSING]
  7. State Machine + Idem.    [PRESENT / PARTIAL / MISSING]
  8. Stop Reason Taxonomy     [PRESENT / PARTIAL / MISSING]

Month-One Primitives (Maturity)
  9. Staged Boot Sequence     [PRESENT / PARTIAL / MISSING]
  10. Verification Harness    [PRESENT / PARTIAL / MISSING]
  11. Memory Decay/Provenance [PRESENT / PARTIAL / MISSING]
  12. Context Provenance      [PRESENT / PARTIAL / MISSING]

Score: X/12 (PRESENT=1, PARTIAL=0.5, MISSING=0)
Rating: [PRODUCTION-READY / NEARLY-READY / SIGNIFICANT-GAPS / EARLY-STAGE]

Rating thresholds:

• 10+ = PRODUCTION-READY
• 7-9.5 = NEARLY-READY
• 4-6.5 = SIGNIFICANT-GAPS
• <4 = EARLY-STAGE

Phase 4: Upgrade Path

For each MISSING or PARTIAL primitive, provide:

1. What's needed -- concrete implementation description (2-3 sentences)
2. Complexity -- Weekend project / Multi-sprint
3. Priority -- based on tier (Day-One > Week-One > Month-One)
4. Dependencies -- other primitives that should come first

Order the upgrade path chronologically:

Recommended Upgrade Path
========================
Sprint 1 (This week):
  - [Primitive] -- [What to build] -- [Complexity]

Sprint 2 (Next week):
  - [Primitive] -- [What to build] -- [Complexity]

Sprint 3+ (Month):
  - [Primitive] -- [What to build] -- [Complexity]

Output Format

Lead with the scorecard. Follow with the upgrade path. Keep explanations tight -- this is a diagnostic tool, not a tutorial.

Source Attribution

Technique derived from Nate's Newsletter (2026-04-03): "Your Agent Is 80% Plumbing" -- 12 infrastructure primitives mapped from Claude Code's leaked source architecture, organized into day-one/week-one/month-one priority tiers.