# Introduction

[![PyPI](https://img.shields.io/pypi/v/fiddler-evals)](https://pypi.org/project/fiddler-evals/)

## Overview

Complete API reference documentation for the fiddler-evals package.

## Components

### Connection

Connection management and initialization

* [Connection](/api/fiddler-evals-sdk/connection/connection.md)
* [init](/api/fiddler-evals-sdk/connection/init.md)

### Entities

Core entity classes for interacting with the platform

* [Application](/api/fiddler-evals-sdk/entities/application.md)
* [Dataset](/api/fiddler-evals-sdk/entities/dataset.md)
* [Experiment](/api/fiddler-evals-sdk/entities/experiment.md)
* [ExperimentItemStatus](/api/fiddler-evals-sdk/entities/experiment-item-status.md)
* [ExperimentStatus](/api/fiddler-evals-sdk/entities/experiment-status.md)
* [Project](/api/fiddler-evals-sdk/entities/project.md)

### Evaluators

Built-in and custom evaluators for LLM assessment

* [AnswerRelevance](/api/fiddler-evals-sdk/evaluators/answer-relevance.md)
* [Coherence](/api/fiddler-evals-sdk/evaluators/coherence.md)
* [Conciseness](/api/fiddler-evals-sdk/evaluators/conciseness.md)
* [ContextRelevance](/api/fiddler-evals-sdk/evaluators/context-relevance.md)
* [CustomJudge](/api/fiddler-evals-sdk/evaluators/custom-judge.md)
* [CustomJudgeSpec](/api/fiddler-evals-sdk/evaluators/custom-judge-spec.md)
* [EvalFn](/api/fiddler-evals-sdk/evaluators/eval-fn.md)
* [Evaluator](/api/fiddler-evals-sdk/evaluators/evaluator.md)
* [FTLPromptSafety](/api/fiddler-evals-sdk/evaluators/ftl-prompt-safety.md)
* [FTLResponseFaithfulness](/api/fiddler-evals-sdk/evaluators/ftl-response-faithfulness.md)
* [InputFieldSpec](/api/fiddler-evals-sdk/evaluators/input-field-spec.md)
* [Message](/api/fiddler-evals-sdk/evaluators/message.md)
* [OutputField](/api/fiddler-evals-sdk/evaluators/output-field.md)
* [OutputFieldTransform](/api/fiddler-evals-sdk/evaluators/output-field-transform.md)
* [RAGFaithfulness](/api/fiddler-evals-sdk/evaluators/rag-faithfulness.md)
* [RegexMatch](/api/fiddler-evals-sdk/evaluators/regex-match.md)
* [RegexSearch](/api/fiddler-evals-sdk/evaluators/regex-search.md)
* [Sentiment](/api/fiddler-evals-sdk/evaluators/sentiment.md)
* [TopicClassification](/api/fiddler-evals-sdk/evaluators/topic-classification.md)

### Pydantic Models

Pydantic data models and validation schemas

* [DatasetItem](/api/fiddler-evals-sdk/pydantic-models/dataset-item.md)
* [NewDatasetItem](/api/fiddler-evals-sdk/pydantic-models/new-dataset-item.md)
* [Score](/api/fiddler-evals-sdk/pydantic-models/score.md)
* [ScoreStatus](/api/fiddler-evals-sdk/pydantic-models/score-status.md)

### Runner

Evaluation execution and orchestration

* [evaluate](/api/fiddler-evals-sdk/evaluate.md)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.fiddler.ai/api/fiddler-evals-sdk/evals.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
