Add verbosity support for Responses API

Sources/OpenAI/Public/Models/Responses API/CreateModelResponseQuery+TextResponseConfigurationOptions.swift

@@ -18,15 +18,21 @@ extension CreateModelResponseQuery {
         ///
         /// Setting to `{ "type": "json_object" }` enables the older JSON mode, which ensures the message the model generates is valid JSON. Using `json_schema` is preferred for models that support it.
         let format: OutputFormat?
-
+
+        /// Controls the verbosity of the model's text output.
+        ///
+        /// Possible values: "low", "medium", "high"
+        let verbosity: Verbosity?
+
         public static let text = TextResponseConfigurationOptions(format: .text)
         public static let jsonObject = TextResponseConfigurationOptions(format: .jsonObject)
         public static func jsonSchema(_ config: OutputFormat.StructuredOutputsConfig) -> TextResponseConfigurationOptions {
             .init(format: .jsonSchema(config))
         }
-        
-        public init(format: OutputFormat?) {
+
+        public init(format: OutputFormat?, verbosity: Verbosity? = nil) {
             self.format = format
+            self.verbosity = verbosity
         }
 
         public enum OutputFormat: Codable, Hashable, Sendable {
@@ -36,7 +42,36 @@ extension CreateModelResponseQuery {
             case jsonSchema(StructuredOutputsConfig)
             /// JSON object response format. An older method of generating JSON responses. Using `json_schema` is recommended for models that support it. Note that the model will not generate JSON without a system or user message instructing it to do so.
             case jsonObject
-
+
+            public init(from decoder: any Decoder) throws {
+                let container = try decoder.singleValueContainer()
+
+                // Try to decode as ResponseFormatText
+                if let _ = try? container.decode(Schemas.ResponseFormatText.self) {
+                    self = .text
+                    return
+                }
+
+                // Try to decode as StructuredOutputsConfig (json_schema)
+                if let config = try? container.decode(StructuredOutputsConfig.self) {
+                    self = .jsonSchema(config)
+                    return
+                }
+
+                // Try to decode as ResponseFormatJsonObject
+                if let _ = try? container.decode(Schemas.ResponseFormatJsonObject.self) {
+                    self = .jsonObject
+                    return
+                }
+
+                throw DecodingError.dataCorrupted(
+                    DecodingError.Context(
+                        codingPath: decoder.codingPath,
+                        debugDescription: "Unable to decode OutputFormat"
+                    )
+                )
+            }
+
             public func encode(to encoder: any Encoder) throws {
                 var container = encoder.singleValueContainer()
                 switch self {
@@ -70,5 +105,11 @@ extension CreateModelResponseQuery {
                 }
             }
         }
+
+        public enum Verbosity: String, Codable, Hashable, Sendable {
+            case low
+            case medium
+            case high
+        }
     }
 }

Tests/OpenAITests/OpenAITestsDecoder.swift

@@ -384,6 +384,40 @@ class OpenAITestsDecoder: XCTestCase {
         XCTAssertEqual(decoded.effort, .minimal)
     }
 
+    func testVerbosityDecoding() throws {
+        // Test decoding "low"
+        let jsonLow = """
+        { "format": { "type": "text" }, "verbosity": "low" }
+        """
+        let dataLow = jsonLow.data(using: .utf8)!
+        let decodedLow = try JSONDecoder().decode(CreateModelResponseQuery.TextResponseConfigurationOptions.self, from: dataLow)
+        XCTAssertEqual(decodedLow.verbosity, .low)
+
+        // Test decoding "medium"
+        let jsonMedium = """
+        { "format": { "type": "text" }, "verbosity": "medium" }
+        """
+        let dataMedium = jsonMedium.data(using: .utf8)!
+        let decodedMedium = try JSONDecoder().decode(CreateModelResponseQuery.TextResponseConfigurationOptions.self, from: dataMedium)
+        XCTAssertEqual(decodedMedium.verbosity, .medium)
+
+        // Test decoding "high"
+        let jsonHigh = """
+        { "format": { "type": "text" }, "verbosity": "high" }
+        """
+        let dataHigh = jsonHigh.data(using: .utf8)!
+        let decodedHigh = try JSONDecoder().decode(CreateModelResponseQuery.TextResponseConfigurationOptions.self, from: dataHigh)
+        XCTAssertEqual(decodedHigh.verbosity, .high)
+
+        // Test decoding without verbosity (should be nil)
+        let jsonNil = """
+        { "format": { "type": "text" } }
+        """
+        let dataNil = jsonNil.data(using: .utf8)!
+        let decodedNil = try JSONDecoder().decode(CreateModelResponseQuery.TextResponseConfigurationOptions.self, from: dataNil)
+        XCTAssertNil(decodedNil.verbosity)
+    }
+
     func testChatQueryWithReasoningEffortNone() throws {
         let chatQuery = ChatQuery(
             messages: [
@@ -849,7 +883,18 @@ class OpenAITestsDecoder: XCTestCase {
         let data = try JSONEncoder().encode(query)
         try testEncodedCreateResponseQueryWithStructuredOutput(data)
     }
-
+
+    func testCreateResponseQueryWithVerbosity() throws {
+        let query = CreateModelResponseQuery(
+            input: .textInput("Return a low verbosity response."),
+            model: .gpt5,
+            text: .init(format: .text, verbosity: .low)
+        )
+
+        let data = try JSONEncoder().encode(query)
+        try testEncodedCreateResponseQueryWithVerbosity(data)
+    }
+
     private func testEncodedChatQueryWithStructuredOutput(_ data: Data) throws {
         let dict = try XCTUnwrap(JSONSerialization.jsonObject(with: data) as? [String: Any])
         XCTAssertEqual(try XCTUnwrap(dict["model"] as? String), "gpt-4o")
@@ -891,4 +936,16 @@ class OpenAITestsDecoder: XCTestCase {
         XCTAssertEqual(titleSchema.count, 1)
         XCTAssertEqual(try XCTUnwrap(titleSchema["type"] as? String), "string")
     }
+
+    private func testEncodedCreateResponseQueryWithVerbosity(_ data: Data) throws {
+        let dict = try XCTUnwrap(JSONSerialization.jsonObject(with: data) as? [String: Any])
+        XCTAssertEqual(try XCTUnwrap(dict["model"] as? String), "gpt-5")
+
+        let textResponseConfigurationOptions = try XCTUnwrap(dict["text"] as? [String: Any])
+        let outputFormat = try XCTUnwrap(textResponseConfigurationOptions["format"] as? [String: Any])
+        let outputVerbosity = try XCTUnwrap(textResponseConfigurationOptions["verbosity"] as? String)
+
+        XCTAssertEqual(try XCTUnwrap(outputFormat["type"] as? String), "text")
+        XCTAssertNotNil(CreateModelResponseQuery.TextResponseConfigurationOptions.Verbosity(rawValue: outputVerbosity))
+    }
 }