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Literal AI

LLM evaluation and monitoring platform with human annotation workflows

Data & Analytics
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Literal AI

LLM evaluation and monitoring platform with human annotation workflows

Literal AI is an LLM observability and evaluation platform that captures traces of AI application behavior, enables human annotation for quality assessment, and automates regression testing. Teams instrument their LLM applications with Literal's Python or TypeScript SDK to log conversations, RAG retrievals, and agent steps as structured datasets. Human reviewers annotate outputs using configurable rubrics, and the automated eval pipeline re-runs the dataset on model updates to detect performance changes.

Key Features

  • Conversation tracing
  • Human annotation
  • Automated eval pipeline
  • Python/TS SDK
  • Thread-level metrics
  • Regression testing
#llmops#evaluation#annotation#monitoring#tracing

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Freemium
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Data & Analytics
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