Automatic function calling rejects `datetime` and `UUID` arguments

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#3,331 1 commento 0 reazioni 1 assegnatario Vedi su GitHub

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@Venkaiahbabuneelam ci sta già lavorando.

Dal 11/11/2026.

  • #3333 di @copybara-service — aperta

Valutazione

Difficoltà
3/5
Tempo stimato
1-2 giorni
Idoneità per principianti
75/100
Tipo di issue
Bug
Chiarezza
Specificata chiaramente
Stato di attività
Attiva
Stack tecnologico
python
Ambito
backend-api-design

Direzione di ricerca

Start by reading convert_if_exist_pydantic_model, which the issue identifies as the point rejecting JSON strings for datetime and UUID, and compare its validation with the pydantic schema generation. Check the automatic function calling tests for argument conversion and add coverage for both types. Done when valid schema-compatible strings reach the tool as converted arguments and the tests pass.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

priority: p2 type: bug
Environment details
  • Programming language: Python
  • OS: macOS
  • Language runtime version: Python 3.12.13
  • Package version: google-genai 3.0.0 (same on 2.24.0 and main)
Steps to reproduce

With automatic function calling, a tool that takes a datetime or a UUID never runs. The declaration tells the model to send a date-time (or uuid) string, the model does, and google-genai rejects it.

This fakes the Gemini API, so no key is needed:

import datetime, json, uuid

import httpx
from google import genai
from google.genai import types

ran, sent = [], []


def schedule(when: datetime.datetime, job_id: uuid.UUID) -> str:
    """Schedule a job."""
    ran.append(True)
    return "ok"


def fake_gemini(request):
    sent.append(json.loads(request.content))
    args = {"when": "2026-11-10T09:30:00Z", "job_id": "12345678-1234-5678-1234-567812345678"}
    part = {"functionCall": {"name": "schedule", "args": args}} if len(sent) == 1 else {"text": "done"}
    return httpx.Response(200, json={"candidates": [{"content": {"role": "model", "parts": [part]}}]})


client = genai.Client(
    api_key="fake",
    http_options=types.HttpOptions(httpx_client=httpx.Client(transport=httpx.MockTransport(fake_gemini))),
)
client.models.generate_content(
    model="gemini-2.5-flash", contents="Schedule it.", config=types.GenerateContentConfig(tools=[schedule])
)

print("declared:", sent[0]["tools"][0]["functionDeclarations"][0]["parameters_json_schema"]["properties"])
print("ran:", bool(ran))
print("sent back:", sent[1]["contents"][-1]["parts"][0]["functionResponse"]["response"])

uv run --no-project --python 3.12 --with "google-genai[httpx]==3.0.0" python repro.py prints:

declared: {'when': {'format': 'date-time', 'type': 'string'}, 'job_id': {'format': 'uuid', 'type': 'string'}}
ran: False
sent back: {'error': "Failed to parse parameter when for function schedule from function call part because function call argument value 2026-11-10T09:30:00Z is not compatible with parameter annotation <class 'datetime.datetime'>."}

job_id fails the same way once when is gone. The call still completes, so nothing says the tool never ran.

The cause: the schema comes from pydantic, but convert_if_exist_pydantic_model ends with isinstance(value, annotation), and a JSON string is never a datetime or UUID. Validating with pydantic too, e.g. pydantic.TypeAdapter(annotation).validate_python(value), would make them agree.

Related, for other types: #2013 (set[str] and other generics, fix in #3295) and #2199 (IntEnum, fix in #3288). From their diffs, neither PR covers datetime or UUID.

Thanks!

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