OpenAI Responses API

[revopscharlie]

Hi, I'm trying to implement the new openai.responses API, and following the guide but not seeing any responses coming back in the UI even though the API call seems to be successful.

When I remove .responses the chats come back in the UI fine. Am I missing something simple?! Thanks

I am using streamText
"ai": "^4.1.54",
"@ai-sdk/openai": "^1.2.2",

const result = await withRetry(async () => {
return streamText({
model: openai.responses('gpt-4o'),
system: 'my system prompt.',
messages: [

      {role: 'user',
        content: problemPrompt
      },
      ...messages.map((message: ChatMessage) => ({
        role: message.role,
        content: message.content
      }))
    ],

[lgrammel]

Can you check for errors? https://sdk.vercel.ai/docs/ai-sdk-core/generating-text#onerror-callback

[revopscharlie]

Thanks Lars, yes that's uncovered this when I switch to responses.

(This is the tool from the RAG template that I'd added originally - don't think I made any changes to the starter template)

Successfully found placeholder prompt
Successfully cached placeholder prompt
Prompt loaded successfully
StreamText error: [Error [AI_APICallError]: Invalid schema for function 'addResource': In context=('properties', 'content'), 'minLength' is not permitted.] {
cause: undefined,
url: 'https://api.openai.com/v1/responses',
requestBodyValues: [Object],
statusCode: 400,
responseHeaders: [Object],
responseBody: '{\n' +
' "error": {\n' +
"message": "Invalid schema for function 'addResource': In context=('properties', 'content'), 'minLength' is not permitted.",\n +
' "type": "invalid_request_error",\n' +
' "param": "tools[1].parameters",\n' +
' "code": "invalid_function_parameters"\n' +
' }\n' +
'}',
isRetryable: false,
data: [Object]
}

---

here is the tool in question if helpful:

tools: {
web_search_preview: openai.tools.webSearchPreview(),
addResource: tool({
description: my description of the tool.,
parameters: z.object({
content: z
.string()
.describe('the specific knowledge or insight to add to the knowledge base')
.min(10, 'Content must be meaningful'),
}),
execute: async ({ content }) => {
// Wrap resource creation in retry logic
return withRetry(async () => {
const { userId, orgId } = await auth();
if (!userId) {
throw new Error('No user ID found in auth context');
}
const result = await createChatResource(content, userId, chatId, projectId, orgId || null);
return {
message: result.success ? 'Knowledge successfully stored.' : 'Unable to store knowledge.',
stored: result.success
};
});
},
}),

[revopscharlie]

Hi @lgrammel just to confirm I fixed this just by removing that minimum length property from the addResoure tool: .min(10, 'Content must be meaningful'), (not sure where it came from, I notice its not in the current RAG template)

I did have to update the allowed models in OpenAI to include gpt-4o-2024-08-06 as even though I selected gpt-4o in the streamText, in the OpenAI logs I got "Project proj_3xi2wkSwSSvJQWBFSola3E83 does not have access to model gpt-4o-2024-08-06"

Once I added that specific model in I was away.

Thanks for your teams great work.