plexus.cli.analyze.analysis module

class plexus.cli.analyze.analysis.PromptAnalysisResult(*, common_mistakes: str, missing_criteria: str, prompt_suggestion: str)

Bases: BaseModel

Structured output for prompt analysis results.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

common_mistakes: str

missing_criteria: str

model_config = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

prompt_suggestion: str

class plexus.cli.analyze.analysis.PromptAnalyzer(llm)

Bases: object

__init__(llm)

analyze_feedback(current_prompt: str, examples: list)

plexus.cli.analyze.analysis.analyze_score_feedback(score_data: DataFrame, prompt_analyzer: PromptAnalyzer, current_prompt: str)

Analyze feedback for a specific score type and suggest prompt improvements.

plexus.cli.analyze.analysis.analyze_topics(*args, **kwargs)

Lazy wrapper for analyze_topics to avoid loading PyTorch unless needed.