Structured-output continuation merge raises AttributeError: __pydantic_generic_metadata__ when a hop has parsed JSON

Summary

Structured-output generation can fail inside merge_continuation_responses() when a continuation hop already has a non-null parsed dictionary. The merge serializes that derived field back into GenerateContentResponse._from_response(). Extra-field pruning then treats the dictionary as the bare pydantic.BaseModel and calls BaseModel.model_rebuild(), raising:

AttributeError: __pydantic_generic_metadata__

We originally encountered this SDK stack during an asynchronous Vertex AI generate_content() call with response_json_schema. The deterministic reproduction below uses synthetic responses only: no credentials, model access, network requests, or application data are required.

Environment details

• Programming language: Python
• OS for local reproduction: macOS (Darwin)
• Language runtime version: Python 3.12.13
• Package versions: google-genai==3.1.0, pydantic==2.13.5
• Also reproduced against unmodified main at f1670003f5eaf9d367ab414b8c5d757c991d8cc0 with the same Python/Pydantic versions.

Steps to reproduce

1. Install the released packages in an isolated Python 3.12 environment:

   python -m pip install "google-genai==3.1.0" "pydantic==2.13.5"
   

2. Run the following script. It models a thought-only continuation hop followed by a complete JSON answer. The final hop's parsed value is produced by the SDK's own _from_response(), not assigned manually.

import platform
import traceback

import pydantic
from google import genai
from google.genai import _extra_utils, types

print(f"Python={platform.python_version()} OS={platform.system()}")
print(f"google-genai={genai.__version__} pydantic={pydantic.__version__}")

schema = {
    "type": "object",
    "properties": {"name": {"type": "string"}},
    "required": ["name"],
}
config = {"response_mime_type": "application/json", "response_json_schema": schema}

# A thought-only continuation hop, followed by a complete JSON response.
first = types.GenerateContentResponse(
    candidates=[types.Candidate(
        content=types.Content(role="model", parts=[
            types.Part(text="Thinking about the answer.", thought=True)
        ]),
        finish_reason="CONTINUATION",
    )]
)
last = types.GenerateContentResponse._from_response(
    response={"candidates": [{
        "content": {"role": "model", "parts": [{"text": '{"name":"Example"}'}]},
        "finish_reason": "STOP",
    }]},
    kwargs={"config": config},
)
print("last.parsed:", last.parsed)
assert last.parsed == {"name": "Example"}
print("one hop:", _extra_utils.merge_continuation_responses([last], config=config).parsed)
try:
    merged = _extra_utils.merge_continuation_responses([first, last], config=config)
    print("two hops:", merged.parsed)
except Exception:
    traceback.print_exc()
    raise SystemExit(1)

Expected behavior

Both the single-hop control and the two-hop merge return parsed == {"name": "Example"}. The derived parsed field should be recomputed from the merged answer without being treated as an API response field.

Actual behavior

The single-hop control succeeds; the two-hop merge raises the exception above and exits with status 1:

Python=3.12.13 OS=Darwin
google-genai=3.1.0 pydantic=2.13.5
last.parsed: {'name': 'Example'}
one hop: {'name': 'Example'}

Relevant stack frames from the local reproduction (environment-specific path prefixes omitted):

google/genai/_extra_utils.py:1338, in merge_continuation_responses
    reparsed = types.GenerateContentResponse._from_response(...)
google/genai/types.py:9000, in _from_response
    result = super()._from_response(response=response, kwargs=kwargs)
google/genai/_common.py:688, in _from_response
    _remove_extra_fields(cls, response)
google/genai/_common.py:393, in _remove_extra_fields
    _remove_extra_fields(model_type, value)
google/genai/_common.py:365, in _remove_extra_fields
    model.model_rebuild(raise_errors=False)
pydantic/main.py:683, in model_rebuild
    return _model_construction.complete_model_class(...)
pydantic/_internal/_model_construction.py:632, in complete_model_class
    typevars_map = get_model_typevars_map(cls)
pydantic/_internal/_generics.py:236, in get_model_typevars_map
    generic_metadata = cls.__pydantic_generic_metadata__
AttributeError: __pydantic_generic_metadata__

Analysis and possible fix

• merge_continuation_responses() retains a hop's parsed value and calls _from_response(response=merged.model_dump(exclude_none=True), ...) to recompute structured output.
• GenerateContentResponse.parsed is annotated as Optional[Union[pydantic.BaseModel, dict[Any, Any], Enum]].
• _remove_extra_fields() takes the first union member, then recursively visits the actual dictionary as pydantic.BaseModel. Its model_rebuild() call on that base class causes this exception.

A narrowly scoped candidate is to exclude the derived parsed field from the serialization used for reparsing:

 reparsed = types.GenerateContentResponse._from_response(
-    response=merged.model_dump(exclude_none=True),
+    response=merged.model_dump(exclude_none=True, exclude={'parsed'}),
     kwargs={'config': config_dict},
 )

I verified that applying only this change to the checkout above makes the same reproduction return two hops: {'name': 'Example'}. This is a candidate fix, not a claim that the full SDK test suite has been validated.

A regression test should cover a non-null parsed dictionary on a hop, including the thought-only-continuation/final-JSON case above. The existing structured continuation test starts with two partial JSON responses whose parsed values are unset, so it does not exercise this case.