A small, typed JSON frame (envelope) for API responses and messages.
Project description
jsonframe
A tiny, opinionated library for consistent JSON API response frames.
jsonframe standardizes how APIs return successful responses, collections, pagination metadata, and errors — without dragging in heavy specs or forcing a framework.
Design goals
- Responses are always JSON objects (never top-level arrays)
- Predictable structure across services
- Minimal cognitive load for newcomers
- No
success: trueflags — HTTP status codes already exist - Small enough to understand in one sitting
Core response rules
Success
{
"data": ...,
"meta": { ... }
}
datacontains the business payload (object, list, scalar, ornull)metacontains non-business metadata (optional, always an object). Typical examples include pagination info, request IDs, timing data, or feature flags — never domain data.
Error
{
"detail": "Invalid request payload"
}
Or structured:
{
"detail": {
"code": "validation_error",
"message": "Invalid request payload",
"meta": { ... }
}
}
- Errors are represented by a single error object (no arrays, no partial failures)
- HTTP status code communicates severity
codeis always present in structured form (value can benull)metais optional and always an object when present
Examples
Example of success payload and framed result
Given the user object and request_id:
from jsonframe import ok
user = {
"id": 42,
"name": "Ada Lovelace",
"email": "ada@example.com",
"role": "admin"
}
result = ok(data=user, meta={"request_id": "req_123"})
Result:
{
"data": {
"id": 42,
"name": "Ada Lovelace",
"email": "ada@example.com",
"role": "admin"
},
"meta": {
"request_id": "req_123"
}
}
Example error response (string)
from jsonframe import error
result = error(message="User not found")
{
"detail": "User not found"
}
Example error response (structured)
from jsonframe import error
result = error(
code="not_found",
message="User not found",
meta={"request_id": "req_123"},
)
{
"detail": {
"code": "not_found",
"message": "User not found",
"meta": {
"request_id": "req_123"
}
}
}
Installation
uv add jsonframe
Core dependency:
pydantic >= 2.0(used for lightweight validation and serialization)
Usage
Success response
from jsonframe import ok
return ok(data={"id": 1, "name": "Ada"})
Empty success
from jsonframe import ok
return ok()
List response
from jsonframe import ok
return ok(data=[{"id": 1}, {"id": 2}])
Paginated list
from jsonframe import ok
return ok(
data=[{"id": 1}, {"id": 2}],
meta={"page": {"total": 120, "limit": 20, "offset": 40}},
)
Result:
{
"data": [...],
"meta": {
"page": {
"total": 120,
"limit": 20,
"offset": 40
}
}
}
Error response
from jsonframe import error
return error(
message="Invalid input",
code="validation_error",
meta={"field": "email"},
)
Using ErrorDetail with FastAPI
ErrorDetail produces the right shape for FastAPI's HTTPException.detail:
from fastapi import HTTPException
from jsonframe import ErrorDetail
raise HTTPException(
status_code=404,
detail=ErrorDetail(
message="User not found",
code="not_found",
meta={"user_id": 42},
).to_dict(),
)
FastAPI will return:
{
"detail": {
"code": "not_found",
"message": "User not found",
"meta": {
"user_id": 42
}
}
}
For simple string errors:
raise HTTPException(
status_code=400,
detail=ErrorDetail(message="Bad request").to_dict(),
)
Returns:
{
"detail": "Bad request"
}
What jsonframe is not
- Not a full JSON:API implementation
- Not a validation framework
- Not a transport abstraction
- Not a replacement for OpenAPI or HTTP semantics
When to use jsonframe
- Internal APIs
- BFFs
- Microservices
- AI / LLM-backed services
- Teams that want consistency without ceremony
Philosophy
jsonframe is intentionally small.
It standardizes structure, not business logic. If you can't explain your API responses by pointing to this README, the library is doing too much.
License
MIT
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