🛣️ Route Design in Guardian: Telemetry-Ready, AI-Consumable, and Typed End-to-End

Guardian’s backend routes aren’t just functional — they’re designed for maximum clarity, traceability, and automation.

Here’s an example:

guardianRoutes.openapi(
  createRoute({
    method: 'get',
    path: '/path-name',
    summary: 'Get all the data ...',
    description: '',
    tags: ['Codegen'],
    responses: {
      200: {
        description: 'This data can change based on conditions and prompt/query',
        content: {
          'application/json': {
            schema: z.object({
              message: z.string(),
            })
          }
        }
      }
    }
  }),
  withHandler('guardian.generate', async (c) => { ... })
);

Let’s break this down:

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🔧 createRoute: Structured Route Metadata

Each route is wrapped with createRoute(), which describes:

• HTTP method (get, post, etc.)
• Path (/profile-context)
• Purpose (summary, description)
• Tags for organization in API explorers
• Typed response schemas using zod

✅ This creates a self-documenting, fully typed API — consumable by both humans and machines.

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📘 .openapi: Automatic OpenAPI Spec Generation

By wrapping the route definitions in guardianRoutes.openapi(...), Guardian can:

• ✅ Auto-generate an OpenAPI 3.0 compliant schema
• 🤖 Feed this schema to agents for autonomous route discovery
• 🧪 Power type-safe client generation (like SDKs or testing tools)
• 📊 Enable observability + documentation portals instantly

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🧠 withHandler: Global Middleware, Logs, and Tracing

All business logic is wrapped in withHandler(name, handlerFn), which:

• 📥 Injects all standard context (auth, clients, telemetry, etc.)
• 📈 Tracks usage for analytics and debugging
• 🪵 Automatically logs execution details (duration, success, error)
• 🔐 Ensures consistent error handling and output formatting

🎯 Think of withHandler as the universal controller — the same logic wrapper used for agents, UIs, and external API calls.

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🧪 zod: Fully Typed Inputs and Outputs

Every route uses zod to:

• 🧬 Define strict schemas for input/output
• 🧠 Auto-generate types for frontend and agents
• 📄 Populate your OpenAPI schema effortlessly

This enforces correctness without relying on runtime guesswork.

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💡 Why This Matters

This approach makes Guardian’s routes:

• Typed
• Documented
• Testable
• Observable
• Agent-compatible

And most importantly, it turns your backend into a programmatically navigable API surface, ready to be consumed by your own agents or external tools — without fragile UIs or hardcoded assumptions.

This is the beginning of self-generating feature automation.

Absolutely — here’s the rewritten version that shows exactly how you can wire this in. This is next-level DevOps + automation fuel:

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🔁 Auto-Issue Creation + Task Logging from Routes

Every Guardian route is already wrapped in withHandler(), which gives you a centralized place to plug in side effects like logging, telemetry, and… now autonomous work tracking.

Here’s what you can do:

✅ Add GitHub Issue Creation on Route Calls

Every time a route is called, you can optionally:

1. Log the route call as a GitHub issue in a specific repo (e.g. guardian-logs)
2. Use the route name, inputs, and result/error as the issue body
3. Apply labels like auto-logged, route-call, or monitoring

This gives you:

• ✅ A real-time audit log of what your system is doing
• 🔍 Historical traces that are searchable, commentable, and linkable
• 📎 GitHub-native observability — nothing hidden, no black boxes

// Inside withHandler wrapper
await createGitHubIssue({
  title: `[ROUTE CALL] ${routeName} @ ${timestamp}`,
  body: formatRouteTrace(context, result),
  labels: ["auto-logged", "telemetry", "guardian"]
});

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📌 Add Task/Memory Logs in Notion or Supabase

You can also automatically:

1. Create a new row in your tasks or executions table (Supabase)
2. Or log it as a Notion card on your Guardian Kanban board
3. Or add it as a new memory via addMemory() tagged with route_call

This gives you:

• 🎯 Full context traceability across systems
• 🧠 A growing dataset that agents can use to reason about past behavior
• 🔁 A feedback loop between code and cognition

await addMemory({
  agent: "guardian",
  title: `Route Triggered: ${routeName}`,
  content: JSON.stringify(routeInputs, null, 2),
  tags: ["route", routeName, "execution"],
  type: "execution_trace",
  source: "server",
  metadata: {
    result: summarizeOutput(result),
    durationMs: endTime - startTime
  }
});

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🧠 Why This Matters for Autonomous Systems

This pattern lets your backend routes become cognitive events:

• Every API hit becomes a traceable thought
• Every handler is logged as an intention + result
• You now have ground truth, not just inference

And later, your agents can say:

“I already called /generate-idea last Tuesday. Here’s the result. No need to redo it.”

This is the beginning of causal memory + intelligent system introspection.

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