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dup-classes

Verify whether generated Java classes duplicate openai-java models by comparing fields/types (names may differ). Use when checking for duplicate model coverage.

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Azure/azure-sdk-for-java
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March 16, 2026 at 09:47
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dup-classes
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Verify whether generated Java classes duplicate openai-java models by comparing fields/types (names may differ). Use when checking for duplicate model coverage.
# Duplicate Class Verification (Generated vs openai-java) Use this skill to compare generated Java models against the `openai-java` dependency. The goal is **field-by-field** comparison of model shapes, even when class or field names differ. ## Inputs to confirm - Generated source root (e.g., `src/main/java/...`) - The relevant `pom.xml` (module) to resolve the `openai-java` dependency version - Optional: package or class name hints to narrow the search ## Steps 1. **Locate the pom.xml** in the current directory tree (`find . -name pom.xml`). If multiple, ask which module to use. 2. **Resolve openai-java**: - Search the chosen pom for `openai-java` (or an explicit group/artifact provided by the user). - Resolve the version (including properties) and locate the JAR in `~/.m2/repository`. - The model classes live in `openai-java-core`, not the top-level `openai-java` artifact. 3. **List candidate classes**: - Generated classes: scan the source root for `class` and `record` declarations. - openai-java classes: `jar tf <jar> | grep '\.class$'` (filter by package hints if provided). 4. **Extract field signatures** (names may differ; compare shape): - **Generated source**: - For `record`, use the component list in the `record` declaration. - For `class`, extract non-static field declarations (type + count) and note any `@JsonProperty` names. - Check `toJson`/`fromJson` methods for the actual JSON keys used in serialization. - **openai-java JAR**: - Use `javap -classpath <jar> -p <FQCN>` to list fields (ignore `static`, `validated`, `hashCode$delegate`, `additionalProperties`). - Extract `@JsonProperty` keys from the sources JAR (`*-sources.jar`) for JSON key comparison. 5. **Compare shapes**: - Compare **field count** and **field types** (order-independent). - Compare **JSON keys** from `@JsonProperty` (openai-java) vs `toJson`/`fromJson` string literals (generated). - Compare **enum/union values** when field types are enums or string unions. - Follow type hierarchy: `BinaryData` ↔ `JsonValue` (both represent untyped JSON), `Map<String,BinaryData>` ↔ `Map<String,JsonValue>`, Java enum ↔ Kotlin string enum. 6. **Categorize results** (do NOT treat all matches the same): **Actionable duplicates** — standalone models not in any type hierarchy. These can potentially be suppressed and replaced with the openai-java equivalent. Examples: `ComparisonFilter`, `Reasoning`. **Structural equivalents** — classes that produce identical JSON but participate in a discriminator hierarchy (e.g., `extends Tool`, `extends TextResponseFormatConfiguration`). The SDK's polymorphic serialization (`Tool.fromJson()` dispatches to `FunctionTool.fromJson()`, etc.) requires these to exist. They are NOT actionable duplicates. Examples: `FunctionTool`, `FileSearchTool`, `ComputerUsePreviewTool`. **Partial matches** — classes with most fields matching but extra Azure-specific fields. Note the extra fields. Examples: `CodeInterpreterTool` (extra `container`), `WebSearchTool` (extra `custom_search_configuration`). 7. **Report**: - Provide a table with: generated class → openai-java class, field count, matching fields, category. - Clearly separate actionable duplicates from structural equivalents. - For actionable duplicates, note whether `@@alternateType` or `@@access(internal)` would be the right suppression mechanism (see `dedup-openai` skill). ## Useful commands ### List generated class names ```bash rg -n "^(public\s+)?(final\s+)?(class|record)\s+" <generated_root> ``` ### Extract field lines from source (classes) ```bash grep -E '^\s+private\s+' <file> | grep -v 'static\s' ``` ### Extract JSON keys from generated toJson/fromJson ```bash grep -E 'jsonWriter\.write|"[a-z_]+"' <file> | grep -v '//' ``` ### Inspect fields in a JAR class ```bash javap -classpath <jar> -p <fully.qualified.ClassName> ``` ### Extract @JsonProperty from openai-java sources JAR ```bash jar xf <sources-jar> main/com/openai/models/<Class>.kt grep '@JsonProperty' main/com/openai/models/<Class>.kt ``` ### Check if a class participates in a hierarchy ```bash grep 'extends\s' <file> # If it extends Tool, TextResponseFormatConfiguration, etc. → structural ``` ## Notes - Use `search-m2` if you need help locating the dependency version or JAR path. - If the user provides only a vague class hint, narrow candidates by package or field count first. - The openai-java classes are Kotlin and use Jackson; generated classes use azure-json (`JsonSerializable`). Compare at the JSON wire level, not at the Java API level.
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