chore(types): improve type name for embedding models (openai#57)

Author: stainless-app[bot]

.stats.yml

@@ -1,2 +1,2 @@
 configured_endpoints: 68
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai-ff407aa10917e62f2b0c12d1ad2c4f1258ed083bd45753c70eaaf5b1cf8356ae.yml
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai-de1981b64ac229493473670d618500c6362c195f1057eb7de00bd1bc9184fbd5.yml

api.md

@@ -65,6 +65,10 @@ Methods:
 
 # Embeddings
 
+Params Types:
+
+- <a href="https://pkg.go.dev/github.com/openai/openai-go">openai</a>.<a href="https://pkg.go.dev/github.com/openai/openai-go#EmbeddingModel">EmbeddingModel</a>
+
 Response Types:
 
 - <a href="https://pkg.go.dev/github.com/openai/openai-go">openai</a>.<a href="https://pkg.go.dev/github.com/openai/openai-go#CreateEmbeddingResponse">CreateEmbeddingResponse</a>

embedding.go

@@ -156,6 +156,14 @@ func (r EmbeddingObject) IsKnown() bool {
 	return false
 }
 
+type EmbeddingModel = string
+
+const (
+	EmbeddingModelTextEmbeddingAda002 EmbeddingModel = "text-embedding-ada-002"
+	EmbeddingModelTextEmbedding3Small EmbeddingModel = "text-embedding-3-small"
+	EmbeddingModelTextEmbedding3Large EmbeddingModel = "text-embedding-3-large"
+)
+
 type EmbeddingNewParams struct {
 	// Input text to embed, encoded as a string or array of tokens. To embed multiple
 	// inputs in a single request, pass an array of strings or array of token arrays.
@@ -170,7 +178,7 @@ type EmbeddingNewParams struct {
 	// see all of your available models, or see our
 	// [Model overview](https://platform.openai.com/docs/models/overview) for
 	// descriptions of them.
-	Model param.Field[EmbeddingNewParamsModel] `json:"model,required"`
+	Model param.Field[EmbeddingModel] `json:"model,required"`
 	// The number of dimensions the resulting output embeddings should have. Only
 	// supported in `text-embedding-3` and later models.
 	Dimensions param.Field[int64] `json:"dimensions"`
@@ -214,22 +222,6 @@ type EmbeddingNewParamsInputArrayOfTokenArrays [][]int64
 
 func (r EmbeddingNewParamsInputArrayOfTokenArrays) ImplementsEmbeddingNewParamsInputUnion() {}
 
-type EmbeddingNewParamsModel string
-
-const (
-	EmbeddingNewParamsModelTextEmbeddingAda002 EmbeddingNewParamsModel = "text-embedding-ada-002"
-	EmbeddingNewParamsModelTextEmbedding3Small EmbeddingNewParamsModel = "text-embedding-3-small"
-	EmbeddingNewParamsModelTextEmbedding3Large EmbeddingNewParamsModel = "text-embedding-3-large"
-)
-
-func (r EmbeddingNewParamsModel) IsKnown() bool {
-	switch r {
-	case EmbeddingNewParamsModelTextEmbeddingAda002, EmbeddingNewParamsModelTextEmbedding3Small, EmbeddingNewParamsModelTextEmbedding3Large:
-		return true
-	}
-	return false
-}
-
 // The format to return the embeddings in. Can be either `float` or
 // [`base64`](https://pypi.org/project/pybase64/).
 type EmbeddingNewParamsEncodingFormat string

embedding_test.go

@@ -28,7 +28,7 @@ func TestEmbeddingNewWithOptionalParams(t *testing.T) {
 	)
 	_, err := client.Embeddings.New(context.TODO(), openai.EmbeddingNewParams{
 		Input:          openai.F[openai.EmbeddingNewParamsInputUnion](shared.UnionString("The quick brown fox jumped over the lazy dog")),
-		Model:          openai.F(openai.EmbeddingNewParamsModelTextEmbeddingAda002),
+		Model:          openai.F(openai.EmbeddingModelTextEmbeddingAda002),
 		Dimensions:     openai.F(int64(1)),
 		EncodingFormat: openai.F(openai.EmbeddingNewParamsEncodingFormatFloat),
 		User:           openai.F("user-1234"),