catalog / DevOps & Infra / Opik (by Comet)
EvalDevOps & InfraFree

Opik (by Comet)

Open-source LLM evaluation and observability platform — trace, test, and monitor LLM apps end-to-end.

Instalações42k
Avaliação★ 4.5
Análises14
Repositório fonte

Opik — LLM Evaluation & Observability

Opik is an open-source end-to-end LLM evaluation platform by Comet. It provides distributed tracing for LLM applications, a rich evaluation framework for testing prompts and RAG pipelines, and production monitoring — all in a single self-hostable platform.

Key Features

  • LLM tracing: automatic instrumentation for LangChain, LlamaIndex, OpenAI, Anthropic
  • Evaluation datasets: version and manage evaluation datasets with golden answers
  • Automated scoring: built-in metrics (hallucination, answer relevance, context precision, BLEU)
  • LLM-as-judge: define custom scoring with any LLM
  • Online monitoring: track production metrics, catch regressions, set alerts
  • Self-hostable with Docker Compose or Kubernetes

Quick Start

import opik
from opik.integrations.openai import track_openai

opik.configure(use_local=True)  # self-hosted
client = track_openai(openai_client)

# All calls are now automatically traced
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "What is RAG?"}]
)

Install via ai-supply

npx ai-supply add opik-llm-evaluation-platform

Curated mirror of the open-source Opik (Apache-2.0). Get it from the source.

More from @ai-supply

View profile →
Model
llama.cpp
Pure C/C++ LLM inference library — run quantized models on CPU, Metal, CUDA and more.
900k4.9
Connector
vLLM
High-throughput, memory-efficient LLM inference engine with PagedAttention and continuous batching.
820k4.9
Agent
MetaGPT
Multi-agent framework that assigns GPT roles (PM, engineer, QA) to solve complex software tasks end-to-end.
820k4.8
Skill
NLTK
The Natural Language Toolkit — Python's foundational NLP library for tokenization, POS tagging, parsing, and corpora.
760k4.7