docs/tutorials/classification/

[giscus[bot]]

docs/tutorials/classification/

Open In Colab

https://python.langchain.com/docs/tutorials/classification/

[2980897531]

But the restrictions have not taken effect in this sentence“Classification(sentiment='enojado', aggressiveness=8, language='es')”

[kavehpouran]

Good observation. I was not able to reproduce this behaviour though - the scoring restriction took effect when I ran the code.

[RanjitSolomon]

Is this specific to OpenAI? Is it possible to get Ollama -llama3 version.
Getting an error,
aggressiveness
Input should be a valid integer [type=int_type, input_value=None, input_type=NoneType

[gudata]

I would also want to know why the examples do not include the ollama?

[mic-de-stefano]

This tutorial does not work either with Gemini (1.5, flash or pro) or with any HuggingFace model.
With HuggingFace, it crashes at the frist .with_structured_output invocation. With Gemini, it crashes when we use enums into the Classification specification.

[NihilDigit]

I managed to make structured output work with the Deepseek model, and I think this approach may work for other non-OpenAI models as well. The main concept is to include our output requirements directly in the prompt and manually parse the JSON response into a BaseModel. https://github.com/NihilDigit/DeepSeek-Structured-Output-for-LangChain