#How to use response_format parameter in python sdk
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The response_format parameter can be used in the OpenAI Python SDK to specify how the response should be formatted. However, it's important to note that not all response formats are supported by all models.
To use the response_format parameter, you can include it in your request as shown in the following code snippet:
response_format = {"type": "json_object"}
response = client.chat.completions.create(
model="gpt-4-1106-preview",
response_format=response_format,
messages=[
{
"role": "system",
"content": "You model sentences as arrays of JSON nodes and edges."
},
{
"role": "user",
"content": "Sentence: ..."
}
],
max_tokens=300,
)
In this example, the response_format is set to {"type": "json_object"}. This means that the response will be formatted as a JSON object. However, this format is only supported by certain models, such as gpt-4-1106-preview or gpt-3.5-turbo-1106 as mentioned in the Github issue (https://github.com/openai/openai-python/issues/887).
Also, it's important to note that when using response_format of type json_object, your message must contain the word "json" in some form. For example, the last message in your code could be {"role": "user", "content": "Where was it played? Please respond with json."} as mentioned in the Github issue (https://github.com/openai/openai-python/issues/887).
If you encounter an error, it might be due to the model not supporting the specified response_format. In such cases, you can either remove the response_format parameter from your request or change the model to one that supports the json_object response format.
Please note that the output will still be a string, but you can parse/cast/convert the generated string into a valid python dictionary using the python AST library as mentioned in the Github issue (https://github.com/openai/openai-python/issues/332).
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@plucky mortar Why does the python typehintg want a ResponseFormat type then?
Let me check the knowledge base for you. One moment! :books:
The ResponseFormat type hint in the Python SDK is used to specify the expected type of the response_format parameter. It's a way to ensure that the data passed to the function matches the expected format.
However, based on the information provided in the extracts, it seems there might be some inconsistencies or confusion regarding the use of ResponseFormat in the context of the response_format parameter.
In the forum post (https://community.openai.com/t/484377), the user tried to use ResponseFormat to set the response_format parameter, but encountered an error. This suggests that the ResponseFormat type hint might not be correctly implemented or might not be compatible with the current version of the API.