20.1 Identify entry and expected outcome

Content and key concepts

All units of the system have already met.
Before the blocks are joined, we'll agree that the system gets what it gives and when it has to stop.
The compatibility of the dictionary, parameters and runtime shall be checked prior to launch. The origin of the response and the prohibitions of action shall be included in the project on an equal basis with the direct calculation. The final shall connect the familiar.
Для изменения рисунка включитеJavaScript; расчёт и теория доступны далее.
The boundary of the system must be more stringent than the pattern.
The final system does not start with weights, but with a test contract. It sets out the form of request and answer, types of fields, acceptable ranges, version of tokenizer, the way the generation is completed and the semantics of errors. The model can return unexpected text, but external API should not accept unexpected types or guess the client's intention in silence.
bool
by a prototype
int
and therefore the whole range verification has to exclude the logical values separately.
In the local contract, the request is accurate.
prompt: str
and
max_new_tokens: int
A ban on unknown fields helps to detect a typo rather than ignore it. The answer separates the generated token IDs from the incidents and the reasons for the stop; these fields cannot be restored by the parsing of the arbitrary line. The version of the diagram makes the incompatible change clear.
Continuation.
The visual model carries out one request across the border
untrusted input → validation → normalized request → model runtime → typed response
At each transition, you can see the schema version, the decision taken, and the machine-readable error code. The contract also captures the maximum prompt langth, encoding, timeout and behaviour at an inaccessible source, so that the client does not depend on the random text of the exception.
Scope of applicability.
Form validation does not prove the security of the meaning prompt or replace authoration. Too broad a contract extends the surface of the attack and too narrow an obstacle to the development of the API. Changes to the tokenizer, chat template or stop policy may not be compatible even with the previous JSON; these relationships are part of a version of the version of a model contract.
def validate_request_20a(value_20a):
if not isinstance(value_20a, dict) or set(value_20a) != {'prompt', 'max_new_tokens'}:
return False
limit_20a = value_20a['max_new_tokens']
return (isinstance(value_20a['prompt'], str) and
isinstance(limit_20a, int) and not isinstance(limit_20a, bool) and
1 <= limit_20a <= 8)
# Полный исполняемый пример — по ссылке ниже.
The code repeats the operations just taken care of.
Completely checked Python-example Chapter
Available with a separate file; the short piece shown does not replace its implementation.
The narrow specification makes the file and the checkimonial.
We're checking the compatibility of the parts. How does this question continue?
Python examples of chapter 20
Academic base