AttributeError: ‘Beta’ object has no attribute ‘chat’
I am having trouble with the structured output API how to fix?
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Hi, welcome to the developer community.
Could you add a little more context please?
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_j
February 7, 2025, 4:23am
3
It is possible that you are using an older OpenAI SDK library than is required.
To employ the examples shown in the GitHub repository for beta helper methods, such as “client.beta.chat.completions.parse()
” when using a Pydantic BaseModel class as a response_format, you must also be running today’s version of library code that will accept the new parameters and methods and send them to the API.
# Structured Outputs Parsing Helpers
The OpenAI API supports extracting JSON from the model with the `response_format` request param, for more details on the API, see [this guide](https://platform.openai.com/docs/guides/structured-outputs).
The SDK provides a `client.beta.chat.completions.parse()` method which is a wrapper over the `client.chat.completions.create()` that
provides richer integrations with Python specific types & returns a `ParsedChatCompletion` object, which is a subclass of the standard `ChatCompletion` class.
## Auto-parsing response content with Pydantic models
You can pass a pydantic model to the `.parse()` method and the SDK will automatically convert the model
into a JSON schema, send it to the API and parse the response content back into the given model.
```py
from typing import List
from pydantic import BaseModel
from openai import OpenAI
class Step(BaseModel):
explanation: str
output: str
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or Node.js:
# Structured Outputs Parsing Helpers
The OpenAI API supports extracting JSON from the model with the `response_format` request param, for more details on the API, see [this guide](https://platform.openai.com/docs/guides/structured-outputs).
The SDK provides a `client.beta.chat.completions.parse()` method which is a wrapper over the `client.chat.completions.create()` that
provides richer integrations with TS specific types & returns a `ParsedChatCompletion` object, which is an extension of the standard `ChatCompletion` type.
## Auto-parsing response content with Zod schemas
You can pass zod schemas wrapped with `zodResponseFormat()` to the `.parse()` method and the SDK will automatically conver the model
into a JSON schema, send it to the API and parse the response content back using the given zod schema.
```ts
import { zodResponseFormat } from 'openai/helpers/zod';
import OpenAI from 'openai/index';
import { z } from 'zod';
const Step = z.object({
explanation: z.string(),
output: z.string(),
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