> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://www.comet.com/docs/opik/evaluation/metrics/llms.txt.

# Metrics

> Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

## Docs

- [Overview](https://www.comet.com/docs/opik/evaluation/metrics/overview.md): Describes all the built-in evaluation metrics provided by Opik
- [Heuristic metrics](https://www.comet.com/docs/opik/evaluation/metrics/heuristic_metrics.md): Describes all the built-in heuristic metrics provided by Opik
- [Hallucination](https://www.comet.com/docs/opik/evaluation/metrics/hallucination.md): Describes the Hallucination metric
- [LLM Juries](https://www.comet.com/docs/opik/evaluation/metrics/llm_juries.md): Combine multiple judges into an ensemble with LLMJuriesJudge
- [G-Eval](https://www.comet.com/docs/opik/evaluation/metrics/g_eval.md): Describes Opik's built-in G-Eval metric which is a task agnostic LLM as a Judge metric
- [Conversation-level GEval Metrics](https://www.comet.com/docs/opik/evaluation/metrics/g_eval_conversation_metrics.md): How to run GEval-based judges on full conversations
- [Compliance risk](https://www.comet.com/docs/opik/evaluation/metrics/compliance_risk.md): Flag non-compliant or high-risk assistant replies with ComplianceRiskJudge
- [Prompt uncertainty](https://www.comet.com/docs/opik/evaluation/metrics/prompt_diagnostics.md): Estimate prompt ambiguity with PromptUncertaintyJudge
- [Moderation](https://www.comet.com/docs/opik/evaluation/metrics/moderation.md): Describes the Moderation metric
- [Meaning Match](https://www.comet.com/docs/opik/evaluation/metrics/meaning_match.md): Describes the Meaning Match metric
- [Usefulness](https://www.comet.com/docs/opik/evaluation/metrics/usefulness.md): Describes the Usefulness metric
- [Summarization consistency](https://www.comet.com/docs/opik/evaluation/metrics/summarization_consistency.md): Ensure autogenerated summaries stay faithful to the source content
- [Summarization coherence](https://www.comet.com/docs/opik/evaluation/metrics/summarization_coherence.md): Rate how readable and well-structured a summary is with SummarizationCoherenceJudge
- [Dialogue helpfulness](https://www.comet.com/docs/opik/evaluation/metrics/dialogue_helpfulness.md): Measure how helpful an assistant reply is within a dialogue
- [Answer relevance](https://www.comet.com/docs/opik/evaluation/metrics/answer_relevance.md): Describes the Answer Relevance metric
- [Context precision](https://www.comet.com/docs/opik/evaluation/metrics/context_precision.md): Describes the Context Precision metric
- [Context recall](https://www.comet.com/docs/opik/evaluation/metrics/context_recall.md): Describes the Context Recall metric
- [Trajectory accuracy](https://www.comet.com/docs/opik/evaluation/metrics/trajectory_accuracy.md): Score whether an agent followed the expected action path
- [Agent task completion](https://www.comet.com/docs/opik/evaluation/metrics/agent_task_completion.md): Verify whether an agent fulfilled its assigned objective
- [Agent tool correctness](https://www.comet.com/docs/opik/evaluation/metrics/agent_tool_correctness.md): Evaluate whether an agent invoked and interpreted tools correctly
- [Conversational metrics](https://www.comet.com/docs/opik/evaluation/metrics/conversation_threads_metrics.md): Describes metrics related to scoring the conversational threads
- [Custom model](https://www.comet.com/docs/opik/evaluation/metrics/custom_model.md): Describes how to use a custom model for Opik's built-in LLM as a Judge metrics
- [Advanced configuration](https://www.comet.com/docs/opik/evaluation/metrics/advanced_configuration.md): Fine-tune Opik metrics with async scoring, evaluator temperatures, and logprob handling
- [Custom metric](https://www.comet.com/docs/opik/evaluation/metrics/custom_metric.md): Describes how to create your own metric to use with Opik's evaluation platform
- [Custom conversation metric](https://www.comet.com/docs/opik/evaluation/metrics/custom_conversation_metric.md): Learn how to create custom metrics for evaluating multi-turn conversations
- [Structured Output Compliance](https://www.comet.com/docs/opik/evaluation/metrics/structure_output_compliance.md): Describes the StructuredOutputCompliance metric
- [Task span metrics](https://www.comet.com/docs/opik/evaluation/metrics/task_span_metrics.md): Learn how to create task span metrics for evaluating the detailed execution information of your LLM tasks