[ISSUE] VectorSearch Error: failed to unmarshal response body: invalid character 'r'

[jahmal23-lb]

Environment:
Go 1.24
github.com/databricks/databricks-sdk-go v0.92.0

Details:

Received unexpected error:

failed to unmarshal response body: invalid character 'r' after top-level value. This is likely a bug in the Databricks SDK for Go or the underlying REST API. Please report this issue with the following debugging information to the SDK issue tracker at https://github.com/databricks/databricks-sdk-go/issues.

Request log:

POST /api/2.0/vector-search/indexes/workspace.product-api-test.product_api_search_index/query
> * Host: 
> * Accept: application/json
> * Authorization: REDACTED
> * Content-Type: application/json
> * Traceparent: 00-351c8f26e191c2a29b6eea7a986c4cd4-5b5a424c0ce1e116-01
> * User-Agent: unknown/0.0.0 databricks-sdk-go/0.92.0 go/1.25.4 os/darwin auth/pat
> {
>   "columns": [
>     "id",
>     "description"
>   ],
>   "num_results": 2,
>   "query_text": "ergo tech"
> }
< HTTP/2.0 200 OK
< * Alt-Svc: clear
< * Content-Type: application/json
< * Date: Thu, 11 Dec 2025 21:26:47 GMT
< * Server: databricks
< * Server-Timing: request_id;dur=0;desc="9b066b31-4743-42c7-b2b6-1a13ab8fa68a", client_protocol;dur=0;desc="HTTP/2"
< * Strict-Transport-Security: max-age=31536000; includeSubDomains; preload
< * Vary: Accept-Encoding
< * X-Content-Type-Options: nosniff
< * X-Databricks-Org-Id: 2802660536935768
< * X-Request-Id: 9b066b31-4743-92c7-b2b6-1a13ab8fa68a
< {
<   "manifest": {
<     "column_count": 3,
<     "columns": [
<       {
<         "name": "id"
<       },
<       {
<         "name": "description"
<       },
<       {
<         "name": "score"
<       }
<     ]
<   },
<   "next_page_token": "",
<   "result": {
<     "data_array": [
<       [
<         1,
<         "Ergonomic wireless mouse with USB receiver",
<         0.002312242
<       ],
<       [
<         5,
<         "Non-slip yoga mat with carrying strap",
<         0.0021561543
<       ]
<     ],
<     "row_count": 2
<   }
< }

Calling Code:

func TestDatabricksVectorSearch(t *testing.T) {
	t.Run("successful vector search", func(t *testing.T) {
		api, err := databricks.NewWorkspaceClient(&databricks.Config{
			Host:        "GIT YOUR OWN WORKSPACE", // workspace url
			Token:       "GIT YOUR OWN TOKEN",                             // PAT
			Credentials: config.PatCredentials{},                          // enforce PAT auth
		})

		indexName := "workspace.product-api-test.product_api_search_index"

		results, err := api.VectorSearchIndexes.QueryIndex(context.Background(), vectorsearch.QueryVectorIndexRequest{
			IndexName:  indexName,
			QueryText:  "ergo tech",
			Columns:    []string{"id", "description"},
			NumResults: 2,
		})

		// Assertions
		require.NoError(t, err)
		assert.NotNil(t, results)
	})
}