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
show original
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(),
show original
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