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feat: add custom_metadata to OpenAIModel to unify /v1/models with /v1/openai/v1/models
Goal is to consolidate model listing endpoints. This is step 1: adding custom_metadata field to OpenAIModel that includes model_type, provider_id, provider_resource_id, and all model metadata from the native /v1/models response. Next steps: update stainless client to use /v1/openai/v1/models, migrate tests to read from custom_metadata, then remove /v1/openai/v1/ prefix entirely.
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@ -166,6 +166,14 @@ async def test_models_routing_table(cached_disk_dist_registry):
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assert "test_provider/test-model" in openai_model_ids
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assert "test_provider/test-model-2" in openai_model_ids
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# Verify custom_metadata is populated with Llama Stack-specific data
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for openai_model in openai_models.data:
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assert openai_model.custom_metadata is not None
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assert "model_type" in openai_model.custom_metadata
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assert "provider_id" in openai_model.custom_metadata
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assert "provider_resource_id" in openai_model.custom_metadata
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assert openai_model.custom_metadata["provider_id"] == "test_provider"
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# Test get_object_by_identifier
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model = await table.get_object_by_identifier("model", "test_provider/test-model")
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assert model is not None
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