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Whole numbers in a data Part are returned as floats (e.g. 4326 becomes 4326.0) #1328
Description
Summary
When an agent sends structured data in a data Part, every whole number in that
data comes back to the client as a decimal number. For example, the integer
4326 is received as 4326.0.
This happens on the normal REST + JSON transport (the response body is JSON over
HTTPS, not gRPC). A client that expects a whole number for a field therefore
receives a decimal and may reject the message during validation.
I believe this is a side effect of how the SDK builds the JSON, not something the
A2A specification requires. I am filing it so it is written down in one place for
both maintainers and other developers who hit the same thing.
What I expected
If my agent puts the whole number 4326 into a data Part, the client should
receive 4326 (a whole number), the same value I put in.
What actually happens
The client receives 4326.0 (a decimal). This is true for every whole number
in the structured data, not just one field. In my case the same response also
turned 240 into 240.0, 500 into 500.0, and 48000000 into 48000000.0.
Why it happens (as far as I can tell)
Since the 1.0 release the SDK represents every message as a Protocol Buffers
object in memory. The data field of a Part is typed as a protobuf Struct
value:
# a2a/types/a2a_pb2.pyi
data: _struct_pb2.Value
A protobuf Struct has only one way to store a number: number_value, which is
a 64-bit floating-point number (a double). It has no separate type for whole
numbers. So the moment a whole number is placed into a Struct, it becomes a
decimal.
When the SDK produces the JSON response, it converts that protobuf object with
MessageToDict (and the streaming path yields MessageToDict per frame):
# a2a/server/routes/rest_dispatcher.py
from google.protobuf.json_format import MessageToDict, Parse
...
return A2AJSONResponse(content=MessageToDict(response)) # non-streaming
...
yield MessageToDict(response) # each SSE frame
MessageToDict faithfully copies the number out of the Struct — but by then it
is already a decimal, so the JSON shows 4326.0.
So the number is lost on the way in (when it is stored in the Struct), not
on the way out. The REST + JSON transport is not the cause; the cause is the
in-memory Struct typing that sits behind it.
Minimal reproduction
No server needed — this reproduces with the protobuf tools the SDK uses:
from google.protobuf import struct_pb2
from google.protobuf.json_format import ParseDict, MessageToDict
v = struct_pb2.Value()
ParseDict({"spatialReference": 4326, "assetEmployees": 240}, v)
print(MessageToDict(v))
# -> {'spatialReference': 4326.0, 'assetEmployees': 240.0}The whole numbers go in and come out as decimals.
Environment
a2a-sdkversion:1.2.1(also present in1.2.2; unchanged by that patch)- Transport: REST + JSON over HTTPS, server built with
create_rest_routes/
RestDispatcher/DefaultRequestHandlerV2 - Python 3.13
Is this a specification violation?
I do not think it is, and I want to be fair about that. The A2A data Part holds
general structured JSON, and plain JSON does not separate whole numbers from
decimals — 4326 and 4326.0 are the same JSON number. So a strict reading of
the spec is satisfied.
The problem is practical, not formal: many real clients and schemas do treat
whole numbers and decimals as different types (for example, an identifier field
typed as an integer). For those clients, receiving 4326.0 where they modelled
4326 is a validation failure. This is a loss of fidelity — the value you sent
is not the value shape the receiver gets back — introduced by the move to
protobuf types, even though no rule is technically broken.
This is closely related to #884 (the removal of Pydantic models and the resulting
rough edges of the proto-only path). This is one concrete, user-visible symptom of
that.
Suggested resolution (small and spec-safe)
I am not asking you to change the wire format or break the spec. Either of these
would help:
- Document it clearly. State in the docs that whole numbers in a
dataPart
are delivered as decimals, so client authors expect it and coerce on their side.
This alone would have saved me a long investigation. - Offer an opt-in way to keep whole numbers whole. For example, a
serialization helper or flag that narrows decimals with no fractional part back
to whole numbers when producing the JSON. Opt-in, so nothing changes for anyone
who does not ask for it.
Workaround for anyone else who finds this
Until the above exists, fix it on the client: when you expect a whole number
for a field, accept a decimal whose fractional part is zero and convert it back to
a whole number (reject only genuinely fractional values). Scope this to fields
that are meant to be whole numbers — do not blanket-convert, or you will corrupt
values that are legitimately decimals (coordinates, distances, measurements).
Activity
rohityan commentedon Oct 14, 2026
Hi @carstenpiepel , thanks for reporting this. I was able to reproduce the behavior. Your workaround also appear to solve the issue.
Another workaround you could recursively traverse the dictionary extracted from
get_data_partsor the raw JSON response payload and convert any float instance whoseis_integer()check evaluates toTrueinto anintor if your client uses Pydantic models apply a pre-validation field validator on expected whole-number fields that narrows zero-fraction floats back into integers before strict validation runs.Your resolution is the right appraoch, would you like to contribute towards the fix? Let me know so that I can assign this issue to you.
carstenpiepel commentedon Oct 14, 2026
Thanks for reproducing this and confirming it.
I think documenting the behavior is the safer fix. The note would explain that whole numbers in a data Part come back as floats, and would list a few practical workarounds, such as narrowing only the fields that are known to be whole numbers on the client side. This way nobody's existing behavior changes, and users who hit the issue can find the answer.
I'm happy to take this on. If you assign it to me, I'll open a PR. Where would you like the note to go, for example the Part/DataPart docs or a FAQ?
Iwaniukooo11 commentedon Oct 19, 2026
@carstenpiepel
Thanks, the diagnosis is right and documenting it is the best idea for now, as python's behaviour is outlier comparing to f.e Go SDK.
If you want to contribute, please open a PR, where you would document it on
new_data_partandget_data_partsinsrc/a2a/helpers/proto_helpers.py.Once again, thank you for highlighting this
rohityan commentedon Oct 19, 2026
Hi @carstenpiepel , assigned it you, link the PR once you opened it.
carstenpiepel commentedon Oct 20, 2026
carstenpiepel commentedon Oct 23, 2026
The PR for this is #1373, it adds the docstring notes, a migration guide bullet, and a test that pins the behavior.
carstenpiepel commentedon Oct 23, 2026
#1373 is approved and documents the behavior; a strict xfail test there now tracks this issue.
docs(helpers): note that whole numbers in a data Part come back as fl…