# Architecture

## Deployment Architecture <a href="#deployment-architecture" id="deployment-architecture"></a>

LearnCloud Storage is deployed as a serverless application on AWS.

```mermaid
graph TB
    subgraph "AWS Infrastructure"
        api["API Gateway"]
        lambda["Lambda Functions"]
        sg["Security Groups"]
        vpc["Virtual Private Cloud"]

        subgraph "Storage"
            mongodb["MongoDB"]
            redis["Redis Cache"]
        end
    end

    client["Client Applications"] -->|"HTTP/HTTPS"| api
    api -->|"Invokes"| lambda
    lambda -->|"Query/Update"| mongodb
    lambda -->|"Cache"| redis

    lambda -->|"Handle"| xapi["xAPI Statements"]
    lambda -->|"Authenticate"| oidc["OIDC Flows"]
```

## API Endpoints

The LearnCloud Storage API exposes the following endpoints:

| Endpoint                            | Description                 | Handler            |
| ----------------------------------- | --------------------------- | ------------------ |
| `/trpc/*`                           | tRPC API endpoints          | `trpcHandler`      |
| `/api/*`                            | OpenAPI REST endpoints      | `openApiHandler`   |
| `/users/*`                          | DID Web identity resolution | `didWebHandler`    |
| `/xapi/*`                           | xAPI statement handling     | `xApiHandler`      |
| `/oidc/*`                           | OIDC authentication         | `oidcHandler`      |
| `/.well-known/openid-configuration` | OIDC configuration          | `oidcHandler`      |
| `/docs`                             | Swagger UI documentation    | `swaggerUiHandler` |


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.learncard.com/sdks/learncloud-storage-api/architecture.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.