Add genson integration for json generation (#1390)

This PR aims at integrating support of the `genson` package (in
`generate.json`) to be able to use dynamic json schema generation as
proposed in #1383.

docs/reference/generation/json.md

@@ -103,3 +103,76 @@ print(add(**result))
 ```
 
 A great advantage of passing functions directly to specify the structure is that the structure of the LLM will change with the function's definition. No need to change the code at several places!
+
+
+## From a dynamic JSON schema builder - GenSON
+
+Outlines integrated [GenSON](https://github.com/wolverdude/GenSON) builders to be able to dynamicly declare JSON schemas. It can be used as follow:
+
+```python
+from genson import SchemaBuilder
+
+from outlines import models
+from outlines import generate
+
+builder = SchemaBuilder()
+builder.add_schema({"type": "object", "properties": {}})
+builder.add_object({"name": "Toto", "age": 5})
+
+model = models.transformers(
+    "HuggingFaceTB/SmolLM2-135M",
+    device="auto",
+)
+generator = generate.json(model, builder)
+
+res = generator("Return a json of a young boy")
+print(res)
+# {"name": "Ben", "age": 10}
+```
+
+Anytime you are updating the schema through the builder, you need to redifine the outline generator to include these changes. From the the previous example:
+
+```python
+from genson import SchemaBuilder
+
+from outlines import models
+from outlines import generate
+
+builder = SchemaBuilder()
+builder.add_schema({"type": "object", "properties": {}})
+builder.add_object({"name": "Toto", "age": 5})
+
+model = models.transformers(
+    "HuggingFaceTB/SmolLM2-135M",
+    device="auto",
+)
+generator = generate.json(model, builder)
+
+res = generator("Return a json of a young boy")
+print(res)
+# {"name": "Ben", "age": 10}
+
+builder.add_object({"hobby": "sports"})
+generator = generate.json(model, builder)
+
+res = generator("Return a json of a youg boy whose hobby is coding")
+print(res)
+# {"name": "Ben", "age": 10, "hobby": "coding"}
+```
+
+!!! Note
+
+    Beware of [GenSON](https://github.com/wolverdude/GenSON)'s behavior regarding dynamic amending of schemas through their builder. Here is an example of how you could lose `required` informations and generate json with missing fields:
+
+    ```python
+    builder = SchemaBuilder()
+    builder.add_schema({"type": "object", "properties": {}})
+    builder.add_object({"name": "Toto", "age": 5})
+
+    print(builder.to_schema())
+    # {'$schema': 'http://json-schema.org/schema#', 'type': 'object', 'properties': {'name': {'type': 'string'}, 'age': {'type': 'integer'}}, 'required': ['age', 'name']}
+
+    builder.add_object({"hobby": "sport"})
+    print(builder.to_schema())
+    # {'name': {'type': 'string'}, 'age': {'type': 'integer'}, 'hobby': {'type': 'string'}}}
+    ```

outlines/generate/json.py

@@ -3,6 +3,7 @@
 from functools import singledispatch
 from typing import Callable, Optional, Union
 
+from genson import SchemaBuilder
 from outlines_core.fsm.json_schema import build_regex_from_schema
 from pydantic import BaseModel
 
@@ -55,6 +56,11 @@ def json(
         regex_str = build_regex_from_schema(schema, whitespace_pattern)
         generator = regex(model, regex_str, sampler)
         generator.format_sequence = lambda x: pyjson.loads(x)
+    elif isinstance(schema_object, SchemaBuilder):
+        schema = schema_object.to_json()
+        regex_str = build_regex_from_schema(schema, whitespace_pattern)
+        generator = regex(model, regex_str, sampler)
+        generator.format_sequence = lambda x: pyjson.loads(x)
     elif callable(schema_object):
         schema = pyjson.dumps(get_schema_from_signature(schema_object))
         regex_str = build_regex_from_schema(schema, whitespace_pattern)

pyproject.toml

@@ -41,6 +41,7 @@ dependencies = [
    "airportsdata",
    "torch",
    "outlines_core==0.1.26",
+   "genson",
 ]
 dynamic = ["version"]
 
@@ -71,7 +72,7 @@ test = [
     "transformers",
     "pillow",
     "exllamav2",
-    "jax"
+    "jax",
 ]
 serve = [
     "vllm>=0.3.0",
@@ -147,6 +148,7 @@ module = [
     "pycountry.*",
     "airportsdata.*",
     "outlines_core.*",
+    "genson",
 ]
 ignore_missing_imports = true
 

tests/generate/test_generate.py

@@ -276,6 +276,22 @@ def test_generate_json(request, model_fixture, sample_schema):
     generator(**get_inputs(model_fixture), max_tokens=100)
 
 
+def test_integrate_genson_generate_json(request):
+    from genson import SchemaBuilder
+
+    builder = SchemaBuilder()
+    builder.add_schema({"type": "object", "properties": {}})
+    builder.add_object({"name": "Toto", "age": 5})
+
+    model = request.getfixturevalue("model_transformers_opt125m")
+
+    generator = generate.json(model, builder)
+    res = generator("Return a json of a young boy")
+
+    assert "name" in res
+    assert "age" in res
+
+
 @pytest.mark.parametrize("model_fixture", ALL_MODEL_FIXTURES)
 @pytest.mark.parametrize("sample_choices", ALL_SAMPLE_CHOICES_FIXTURES)
 def test_generate_choice(request, model_fixture, sample_choices):