Parea
Experimentation, evals and observability toolkit for LLM engineers.
About
Parea is an LLM engineering platform for testing, evaluating and monitoring language-model applications from development to production. It offers a prompt playground for comparing prompts side by side, versioned prompt management, test collections with scoring functions, trace logging for end-to-end observability, and an LLM proxy gateway with caching and retries across providers. Human annotation workflows let domain experts label and score outputs, closing the loop between evals and production quality.
Parea went through Y Combinator's Summer 2023 batch and raised a $500K pre-seed. Native Python and TypeScript SDKs integrate with OpenAI, Anthropic, LangChain, DSPy and LiteLLM. Pricing starts with a free tier (3K logs/month) up to a $150/month team plan and custom enterprise with self-hosting. It competes with Braintrust, LangSmith, Arize and the eval platforms already in this catalog.
What it can do
- Prompt playground and versioned prompt management with test collections
- Scoring functions, human annotation and regression tracking across model changes
- Trace logging and monitoring from development to production
- LLM proxy gateway with caching, retries and unified multi-provider access
Setup
Sign up at parea.ai, install the Python or TypeScript SDK, add your API keys.
Prerequisites
An LLM application to instrument; provider API keys (OpenAI, Anthropic, etc.).
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 89; Trending score 72/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.