Fix a bug where responses api does not accept both outputType and verbosity parameter for gpt-5

Author: seratch

examples/basic/hello-world-gpt-5.ts

@@ -1,4 +1,11 @@
-import { Agent, run } from '@openai/agents';
+import { Agent, OpenAIChatCompletionsModel, run } from '@openai/agents';
+import OpenAI from 'openai';
+import { z } from 'zod';
+
+const output = z.object({
+  title: z.string(),
+  description: z.string(),
+});
 
 async function main() {
   const agent = new Agent({
@@ -11,10 +18,27 @@ async function main() {
         text: { verbosity: 'low' },
       },
     },
+    outputType: output,
   });
 
-  const result = await run(agent, 'Tell me about recursion in programming.');
+  const prompt = 'Tell me about recursion in programming.';
+  const result = await run(agent, prompt);
   console.log(result.finalOutput);
+
+  const completionsAgent = new Agent({
+    name: 'GPT-5 Assistant',
+    model: new OpenAIChatCompletionsModel(new OpenAI(), 'gpt-5'),
+    instructions: "You're a helpful assistant.",
+    modelSettings: {
+      providerData: {
+        reasoning_effort: 'minimal',
+        verbosity: 'low',
+      },
+    },
+    outputType: output,
+  });
+  const completionsResult = await run(completionsAgent, prompt);
+  console.log(completionsResult.finalOutput);
 }
 
 if (require.main === module) {

packages/agents-openai/src/openaiResponsesModel.ts

@@ -71,12 +71,14 @@ function getToolChoice(
 
 function getResponseFormat(
   outputType: SerializedOutputType,
+  otherProperties: Record<string, any> | undefined,
 ): OpenAI.Responses.ResponseTextConfig | undefined {
   if (outputType === 'text') {
-    return undefined;
+    return otherProperties;
   }
 
   return {
+    ...otherProperties,
     format: outputType,
   };
 }
@@ -830,7 +832,9 @@ export class OpenAIResponsesModel implements Model {
     const input = getInputItems(request.input);
     const { tools, include } = getTools(request.tools, request.handoffs);
     const toolChoice = getToolChoice(request.modelSettings.toolChoice);
-    const responseFormat = getResponseFormat(request.outputType);
+    const { text, ...restOfProviderData } =
+      request.modelSettings.providerData ?? {};
+    const responseFormat = getResponseFormat(request.outputType, text);
     const prompt = getPrompt(request.prompt);
 
     let parallelToolCalls: boolean | undefined = undefined;
@@ -859,7 +863,7 @@ export class OpenAIResponsesModel implements Model {
       stream,
       text: responseFormat,
       store: request.modelSettings.store,
-      ...request.modelSettings.providerData,
+      ...restOfProviderData,
     };
 
     if (logger.dontLogModelData) {