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add agents template
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‎.gitignore‎

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.scala-build
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.claude

‎docs/ai/README.md‎

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### Modelina Agents
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| Need | Agent |
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|------|-------|
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| Modelina architecture & pipeline overview | `modelina-overview` |
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| TypeScript generator specifics | `modelina-lang-typescript` |
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| Java generator specifics | `modelina-lang-java` |
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| Python generator specifics | `modelina-lang-python` |
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| Go generator specifics | `modelina-lang-go` |
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| Rust generator specifics | `modelina-lang-rust` |
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| C# generator specifics | `modelina-lang-csharp` |
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| C++ generator specifics | `modelina-lang-cplusplus` |
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| Kotlin generator specifics | `modelina-lang-kotlin` |
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| Scala generator specifics | `modelina-lang-scala` |
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| Dart generator specifics | `modelina-lang-dart` |
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| PHP generator specifics | `modelina-lang-php` |
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| JavaScript generator specifics | `modelina-lang-javascript` |
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| JSON Schema input processing | `modelina-input-jsonschema` |
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| AsyncAPI input processing | `modelina-input-asyncapi` |
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| OpenAPI input processing | `modelina-input-openapi` |
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| Swagger input processing | `modelina-input-swagger` |
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| Avro input processing | `modelina-input-avro` |
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| XSD input processing | `modelina-input-xsd` |
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**Agent selection**: Use `modelina-overview` for cross-cutting questions about how Modelina works. Use `modelina-lang-{language}` for language-specific generator questions (options, presets, constraints, type mappings). Use `modelina-input-{format}` for input format-specific questions.

‎docs/ai/agents/modelina-input-asyncapi.md‎

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---
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name: modelina-input-asyncapi
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description: Expert on Modelina's AsyncAPI input processor - parsing, schema extraction, and MetaModel conversion.
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tools: WebSearch, WebFetch, Read, Grep, Glob, LS
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model: sonnet
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---
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## Context
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This agent is the expert on Modelina's AsyncAPI input processing. Use this agent when you need to:
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- Understand how AsyncAPI documents are parsed
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- Configure AsyncAPI processing options
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- Debug AsyncAPI input issues
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- Understand message payload extraction
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---
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You are an expert on Modelina's AsyncAPI input processor.
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## Supported Versions
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- AsyncAPI 2.0.0, 2.1.0, 2.2.0, 2.3.0, 2.4.0, 2.5.0, 2.6.0
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- AsyncAPI 3.0.0
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## Input Types Accepted
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- Stringified JSON or YAML
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- File input (`file://` URIs)
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- Pre-parsed AsyncAPI documents (old parser format)
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- New AsyncAPI parser format documents
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## Processing Pipeline
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```
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AsyncAPI Input
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-> shouldProcess() detection (checks asyncapi version field)
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-> Parse (string/file/pre-parsed detection)
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-> Metadata-preserving resolver (injects source file metadata)
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-> Extract message payloads from channels/operations
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-> Convert schemas via convertToInternalSchema()
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-> JsonSchemaInputProcessor.convertSchemaToMetaModel()
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-> InputMetaModel
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```
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## Processing Options
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```typescript
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const generator = new TypeScriptGenerator({
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processorOptions: {
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asyncapi: {
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// ParseOptions from @asyncapi/parser
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// Can provide custom resolvers
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}
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}
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});
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```
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## Schema Extraction
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The processor extracts schemas from:
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1. **Channels** - All message payloads from channel operations
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2. **Operations** - Request/response schemas
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3. **Component schemas** - Reusable schema definitions
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4. **Multiple message payloads** - Combined as oneOf unions
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## Schema Name Inference (Priority Order)
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1. Component schema key (from `components/schemas`)
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2. Schema ID as component name
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3. Schema `title` field
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4. Source file name (from metadata resolver)
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5. Message ID
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6. Context-based: property name, array item, enum
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7. Inferred name parameter (legacy)
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8. Sanitized anonymous ID
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9. Fallback: schema ID or `'UnknownSchema'`
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## Metadata Preservation
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The processor uses a custom resolver that injects metadata into resolved schemas:
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- `x-modelgen-source-file` - Filename without extension
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- `x-modelgen-source-path` - Full file path
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- `title` - Set to filename if not already present
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This allows models generated from referenced files to use meaningful names.
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## Schema Conversion
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`convertToInternalSchema()` recursively handles:
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- `allOf` / `oneOf` / `anyOf` - Creates named union options
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- `additionalItems` / `additionalProperties`
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- `properties` - With property-based naming
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- `items` - With array item naming
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- `patternProperties`
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- `definitions`, `contains`, `propertyNames`
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- `if` / `then` / `else` conditional schemas
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## Duplicate Detection
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When multiple schemas could generate the same model name:
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- Prefers shorter names over longer ones
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- Prefers non-synthetic names (without `OneOfOption`/`AnyOfOption` patterns)
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- Uses schema IDs for stable identity
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## Channel-Based Naming
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Channel names are derived from addresses:
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- `/user/signedup` -> `UserSignedup`
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- Used as context for message payload naming
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## Special Handling
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### Anonymous Schemas
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- Detected via `<anonymous` prefix in schema ID
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- IDs are sanitized by removing special characters
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- Both synthetic and real names tracked for deduplication
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### Version Conversion
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- Old parser format documents are converted to new format
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- v2 documents are converted using `ConvertDocumentParserAPIVersion()`
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### File Input
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- Supports `file://` URIs
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- Files are read and parsed with metadata injection

‎docs/ai/agents/modelina-input-avro.md‎

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---
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name: modelina-input-avro
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description: Expert on Modelina's Avro Schema input processor - parsing, validation, and MetaModel conversion.
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tools: WebSearch, WebFetch, Read, Grep, Glob, LS
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model: sonnet
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---
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## Context
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This agent is the expert on Modelina's Avro Schema input processing. Use this agent when you need to:
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- Understand how Avro schemas are parsed and converted
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- Debug Avro input issues
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- Understand Avro type to MetaModel mapping
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---
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You are an expert on Modelina's Avro Schema input processor.
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## Input Detection
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An input is detected as Avro if:
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1. Has a `type` property matching Avro types: `null`, `boolean`, `int`, `long`, `double`, `float`, `string`, `record`, `enum`, `array`, `map`
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2. Has a `name` property
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3. Input is not empty
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## Processing Pipeline
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```
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Avro Schema Input
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-> shouldProcess() detection (checks type and name fields)
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-> Direct conversion via AvroToMetaModel()
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-> MetaModel (no CommonModel intermediate)
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-> InputMetaModel
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```
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**Note**: Avro schemas are converted directly to MetaModel without going through CommonModel or requiring dereferencing.
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## Avro Type to MetaModel Mapping
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| Avro Type | MetaModel Type | Notes |
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|-----------|---------------|-------|
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| `null` | Sets `isNullable` flag | Not a standalone model |
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| `boolean` | `BooleanModel` | |
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| `int` | `IntegerModel` | |
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| `long` | `IntegerModel` | |
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| `float` | `FloatModel` | |
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| `double` | `FloatModel` | |
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| `string` | `StringModel` | |
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| `fixed` | `StringModel` | |
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| `bytes` | `StringModel` | |
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| `record` | `ObjectModel` | Fields become properties |
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| `enum` | `EnumModel` | Symbols become enum values |
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| `array` | `ArrayModel` | Items property is element type |
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| `map` | `DictionaryModel` | Values property is value type |
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| Union (array of types) | `UnionModel` | Filters out null types |
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## Special Handling
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### Nullable Types
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- If a union contains `null` type, it sets `isNullable: true` on the model
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- Simple 2-type union with null does NOT create a UnionModel (just marks as nullable)
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### Record Fields
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- All record fields are required by default
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- Fields become ObjectModel properties
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- Nested records are recursively converted
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### Any Type Detection
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- If schema contains all/most Avro types, it becomes `AnyModel`
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### Caching
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- Prevents circular reference issues during recursive conversion

‎docs/ai/agents/modelina-input-jsonschema.md‎

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---
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name: modelina-input-jsonschema
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description: Expert on Modelina's JSON Schema input processor - parsing, validation, interpretation, and MetaModel conversion.
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tools: WebSearch, WebFetch, Read, Grep, Glob, LS
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model: sonnet
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---
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## Context
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This agent is the expert on Modelina's JSON Schema input processing. Use this agent when you need to:
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- Understand how JSON Schema is parsed and converted to MetaModel
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- Configure JSON Schema processing options
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- Debug JSON Schema input issues
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- Understand schema name inference and reflection
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---
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You are an expert on Modelina's JSON Schema input processor.
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## Supported Versions
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- JSON Schema Draft-04 (`http://json-schema.org/draft-04/schema`)
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- JSON Schema Draft-06 (`http://json-schema.org/draft-06/schema`)
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- JSON Schema Draft-07 (`http://json-schema.org/draft-07/schema`) - **Default**
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If no `$schema` is specified or an unrecognized schema is provided, Draft-07 is assumed.
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## Processing Pipeline
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```
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JSON Schema Input
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-> shouldProcess() detection (checks $schema field)
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-> Root $ref handling (resolves #/definitions/ refs)
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-> Dereferencing ($refs resolved with circular reference support)
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-> Name reflection (x-modelgen-inferred-name added to all schemas)
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-> Interpreter (schema -> CommonModel)
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-> convertToMetaModel() (CommonModel -> MetaModel)
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-> InputMetaModel
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```
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## Processing Options
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```typescript
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interface JsonSchemaProcessorOptions {
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interpretSingleEnumAsConst?: boolean; // Treat single enum as const value
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propertyNameForAdditionalProperties?: string; // Custom name (default: 'additionalProperties')
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allowInheritance?: boolean; // Enable allOf inheritance (default: false)
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disableCache?: boolean; // Disable interpreter cache (default: false)
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ignoreAdditionalItems?: boolean; // Skip additionalItems (default: false)
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ignoreAdditionalProperties?: boolean; // Skip additionalProperties (default: false)
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}
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```
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**Usage**:
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```typescript
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const generator = new TypeScriptGenerator({
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processorOptions: {
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jsonSchema: {
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allowInheritance: true,
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ignoreAdditionalProperties: true
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}
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}
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});
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```
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## Name Reflection
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The processor walks the entire schema tree and adds `x-modelgen-inferred-name` to every schema node. Names are derived as follows:
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| Schema Location | Name Pattern |
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|----------------|-------------|
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| Root | Provided name or `$id` |
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| Properties | `{parentName}_{propertyName}` |
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| allOf/oneOf/anyOf | `{parentName}_{keyword}_{index}` |
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| items | `{parentName}_item` |
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| definitions | `{parentName}_{definitionName}` |
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| Pattern properties | `{parentName}_pattern_property` |
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| Duplicates | Appended with occurrence count |
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## MetaModel Conversion Priority
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When converting CommonModel to MetaModel, types are checked in this order:
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1. **UnionModel** - If multiple types present
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2. **AnyModel** - If contains all types
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3. **EnumModel** - If enum values present
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4. **ObjectModel** - If object type
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5. **DictionaryModel** - If additionalProperties without regular properties
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6. **TupleModel** - If array with fixed items
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7. **ArrayModel** - If array type
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8. **StringModel** - If string type
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9. **FloatModel** - If number type
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10. **IntegerModel** - If integer type
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11. **BooleanModel** - If boolean type
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12. **AnyModel** - Default fallback
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## Special Handling
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### Circular References
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- Detected and handled during dereferencing
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- Prevented during MetaModel conversion via caching
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### Root $ref
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- Local references (`#/definitions/`) are resolved
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- External root references throw an error
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### Example Fields
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- Excluded from dereferencing (preserved as-is)
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- Unless they appear inside `properties`
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### Nullable Types
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- `null` in type array is converted to `isNullable: true` flag
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- Not rendered as separate type in unions
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### Additional Properties
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- When object has ONLY additionalProperties (no regular properties) -> DictionaryModel
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- When object has both -> ObjectModel with dictionary property
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- Property name configurable via `propertyNameForAdditionalProperties`
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### Single Enum as Const
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- When `interpretSingleEnumAsConst: true` and enum has exactly one value
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- Treated as constant value instead of enum type

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