root.execution_logs¶

Classes¶

`ExecutionLogs`	Execution logs API
`ExecutionResult`	Base class for protocol classes.

Module Contents¶

class root.execution_logs.ExecutionLogs(client: Awaitable[root.generated.openapi_aclient.ApiClient] | root.generated.openapi_client.ApiClient)¶

Execution logs API

Parameters:: client (Union[Awaitable[root.generated.openapi_aclient.ApiClient], root.generated.openapi_client.ApiClient])

async aget(*, log_id: str | None = None, execution_result: ExecutionResult | None = None, _request_timeout: int | None = None) → root.generated.openapi_aclient.models.execution_log_details.ExecutionLogDetails¶

Asynchronously get a specific execution log details

Parameters:

log_id (Optional[str]) – The log to be fetched
execution_result (Optional[ExecutionResult]) – The execution result containing the log ID.
_request_timeout (Optional[int])

Raises:

ValueError – If both log_id and execution_result are None.

Return type:

root.generated.openapi_aclient.models.execution_log_details.ExecutionLogDetails

async alist(*, limit: int = 100, search_term: str | None = None, _request_timeout: int | None = None) → AsyncIterator[root.generated.openapi_aclient.models.execution_log_list.ExecutionLogList]¶

Asynchronously list execution logs

Parameters:

limit (int) – Number of entries to iterate through at most.
search_term (Optional[str]) – Can be used to limit returned logs. For example, a skill id or name.
_request_timeout (Optional[int])

Return type:

AsyncIterator[root.generated.openapi_aclient.models.execution_log_list.ExecutionLogList]

get(*, log_id: str | None = None, execution_result: ExecutionResult | None = None, _request_timeout: int | None = None) → root.generated.openapi_client.models.execution_log_details.ExecutionLogDetails¶

Get a specific execution log details

Parameters:

log_id (Optional[str]) – The log to be fetched
execution_result (Optional[ExecutionResult]) – The execution result containing the log ID.
_request_timeout (Optional[int])

Raises:

ValueError – If both log_id and execution_result are None.

Return type:

root.generated.openapi_client.models.execution_log_details.ExecutionLogDetails

list(*, limit: int = 100, search_term: str | None = None, _request_timeout: int | None = None) → Iterator[root.generated.openapi_client.models.execution_log_list.ExecutionLogList]¶

List execution logs

Parameters:

limit (int) – Number of entries to iterate through at most.
search_term (Optional[str]) – Can be used to limit returned logs. For example, a skill id or name.
_request_timeout (Optional[int])

Return type:

Iterator[root.generated.openapi_client.models.execution_log_list.ExecutionLogList]

class root.execution_logs.ExecutionResult¶

Bases: Protocol

Base class for protocol classes.

Protocol classes are defined as:

class Proto(Protocol):
    def meth(self) -> int:
        ...

Such classes are primarily used with static type checkers that recognize structural subtyping (static duck-typing).

For example:

class C:
    def meth(self) -> int:
        return 0

def func(x: Proto) -> int:
    return x.meth()

func(C())  # Passes static type check

See PEP 544 for details. Protocol classes decorated with @typing.runtime_checkable act as simple-minded runtime protocols that check only the presence of given attributes, ignoring their type signatures. Protocol classes can be generic, they are defined as:

class GenProto[T](Protocol):
    def meth(self) -> T:
        ...

execution_log_id: str¶