distill::cascade::CascadeResult¶

Public Functions¶

	Name
	init(self self, final_content final_content, level1_confidence level1_confidence, level2_confidence level2_confidence, level1_model level1_model, escalated escalated, attempts attempts, level2_model level2_model =None)
	to_dict(self self)

Public Attributes¶

	Name
	final_content
	level1_confidence
	level2_confidence
	level1_model
	level2_model
	escalated
	attempts

Detailed Description¶

class distill::cascade::CascadeResult;

Result of a multi-teacher cascade execution.

Attributes:
    final_content: The response text returned to the caller.
    level1_confidence: Confidence score from Level 1 (0.0 if Level 1
        failed with an exception).
    level2_confidence: Confidence score from Level 2, or ``None`` if
        no escalation occurred.
    level1_model: The Level 1 model name.
    level2_model: The Level 2 model that produced ``final_content``,
        or ``None`` if no escalation occurred.
    escalated: ``True`` if Level 2 was invoked.
    attempts: List of per-attempt records, each a dict with keys
        ``model_name``, ``confidence``, and ``error`` (str or None).

Public Functions Documentation¶

function init¶

__init__(
    self self,
    final_content final_content,
    level1_confidence level1_confidence,
    level2_confidence level2_confidence,
    level1_model level1_model,
    escalated escalated,
    attempts attempts,
    level2_model level2_model =None
)

function to_dict¶

to_dict(
    self self
)

Return a JSON-serialisable representation for logging.```


## Public Attributes Documentation

### variable final_content

```python
final_content;

variable level1_confidence¶

level1_confidence;

variable level2_confidence¶

level2_confidence;

variable level1_model¶

level1_model;

variable level2_model¶

level2_model;

variable escalated¶

escalated;

variable attempts¶

attempts;

Updated on 2026-07-25 at 22:56:57 +0000