ValidationError when trying to generate JSON using Ollama with OpenAI API

Describe the issue as clearly as possible:

I'm trying to use Ollama with the Openai api to generate a Pydantic object. I think that's because Ollama doesn't support response_format which is used in /outlines/generate/json.py:

@json.register(OpenAI)
def json_openai(
    model, schema_object: Union[str, object], sampler: Sampler = multinomial()
):
    ...

    # create copied, patched model with normalized json schema set
    generator = model.new_with_replacements(
        response_format={
            "type": "json_schema",
            "json_schema": {
                "name": "default",
                "strict": True,
                "schema": pyjson.loads(schema),
            },
        }
    )

    generator.format_sequence = format_sequence

    return generator

Ollama does have a format: json mode but that doesn't support adding a json schema.

Is there any workaround for this?

Steps/code to reproduce the bug:

from typing import List, Literal
from pydantic import BaseModel
import outlines 

class Hobby(BaseModel):
    name: str
    description: str
    duration: int = Field(..., description="Years since having hobby")

class Character(BaseModel):
    name:str
    birth_year: int = Field(..., ge=1990, le=2025)
    hobbies: List[Hobby]
    alive: bool

lm = outlines.models.openai("llama3.2:latest", base_url="http://localhost:11434/v1", api_key="ollama")
generatorJson = outlines.generate.json(lm, Character)
print(generatorJson("Create a character with fields name, birth_year, hobbies (each hobby has a name, description, and duration), alive (bool)", max_tokens=20000))

Expected result:

A JSON object following the schema of the Character class.

Error message:


Traceback (most recent call last):
  File "c:\Users\TOTAL TECH\Desktop\mcts.py", line 30, in <module>
    pprint(generatorJson("Create a user with fields name, birth_year, hobbies (each hobby has a name, description, and duration), alive (bool)", format="json", temperature=0, max_tokens=20000))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Traceback (most recent call last):
  File "C:\Users\TOTAL TECH\.conda\envs\outlines\Lib\site-packages\pydantic\main.py", line 1187, in parse_raw
    obj = parse.load_str_bytes(
          ^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\TOTAL TECH\.conda\envs\outlines\Lib\site-packages\pydantic\deprecated\parse.py", line 49, in load_str_bytes
    return json_loads(b)  # type: ignore
           ^^^^^^^^^^^^^
  File "C:\Users\TOTAL TECH\.conda\envs\outlines\Lib\json\__init__.py", line 346, in loads
    return _default_decoder.decode(s)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\TOTAL TECH\.conda\envs\outlines\Lib\json\decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\TOTAL TECH\.conda\envs\outlines\Lib\json\decoder.py", line 355, in raw_decode
    raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "c:\Users\TOTAL TECH\Desktop\mcts.py", line 27, in <module>
    pprint(generatorJson("Create a character with fields name, birth_year, hobbies (each hobby has a name, description, and duration), alive (bool)", max_tokens=20000))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\TOTAL TECH\.conda\envs\outlines\Lib\site-packages\outlines\models\openai.py", line 151, in __call__
    return self.format_sequence(response)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\TOTAL TECH\.conda\envs\outlines\Lib\site-packages\outlines\generate\json.py", line 83, in <lambda>
    format_sequence = lambda x: schema_object.parse_raw(x)
                                ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\TOTAL TECH\.conda\envs\outlines\Lib\site-packages\pydantic\main.py", line 1214, in parse_raw
    raise pydantic_core.ValidationError.from_exception_data(cls.__name__, [error])
pydantic_core._pydantic_core.ValidationError: 1 validation error for Character
__root__
  Expecting value: line 1 column 1 (char 0) [type=value_error.jsondecode, input_value='class Character:\n    de...alive)  # Output: False', input_type=str]

Outlines/Python version information:

Version information

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dottxt-ai / outlines