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Parea AI
What it is
Parea AI provides experiment tracking, observability, and human annotation for teams building LLM applications for production. Its evaluation tools track performance over time, help investigate failures, and compare sample or model changes. Teams can gather feedback from end users, subject matter experts, and product groups, then comment on, annotate, and label logs for Q&A and fine-tuning. The Prompt Playground lets users test prompts against samples or large datasets and deploy them to production. Parea can log staging and production data, run online evaluations, capture user feedback, and track cost, latency, and quality. Those logs can become test datasets and support model fine-tuning. The listed SDKs are for Python and JavaScript/TypeScript, and integrations include OpenAI, Anthropic, LangChain, Instructor, DSPy, LiteLLM, Maven, SGLang, and Trigger.dev. The Free plan costs nothing and allows two team members, 3k logs per month with one-month retention, and 10 deployed prompts. Team costs $150 a month. Enterprise has custom pricing and lists on-premise or self-hosting, support SLAs, unlimited logs and prompts, SSO enforcement, and custom roles.
For and against
For
- Tracks evaluation performance, cost, latency, and quality.
- Collects and labels human feedback on logs.
- Offers Python and JavaScript/TypeScript SDKs.
- Documents on-premise deployment through Docker.
Against
- Free plan limits teams to two members.
- Free plan allows 3k monthly logs with one-month retention.
- Free plan caps deployed prompts at 10.
- Team costs $150 a month.
The verdict
Parea combines testing, prompt work, observability, and human annotation for LLM applications. The free plan has explicit team, log-retention, and deployed-prompt limits; higher-tier features include self-hosting and support SLAs.
Who it suits
Parea suits teams developing LLM applications that need evaluation, production observability, and human review. Its documented self-hosting option may fit organizations that want frontend and backend services in their own environment.
Plans and prices
Free
Max. 2 team members · 3k logs / month (1 mon retention) · 10 deployed prompts · Discord community
Read 2 Oct 2026 · parea.ai
Team
3 members ($50 / month per add'l. member up to 20) · 100k logs / month incl. ($0.001 / extra log) · 3 month data retention, (6/12 mon upgrade) · Unlimited projects
Read 2 Oct 2026 · parea.ai
AI Consulting
Rapid Prototyping & Research · Building domain-specific evals · Optimizing RAG pipelines · Upskilling your team on LLMs
Read 2 Oct 2026 · parea.ai
Enterprise
On-prem/self-hosting · Support SLAs · Unlimited logs · Unlimited deployed prompts
Read 2 Oct 2026 · parea.ai
On the record
- Datasets
- The product can incorporate staging and production logs into test datasets and use them to fine-tune models.parea.ai · read 2 Oct 2026
- Enterprise limits and support
- The Enterprise plan lists custom roles, SSO enforcement, unlimited logs and deployed prompts, on-premise or self-hosting, and support SLAs.parea.ai · read 2 Oct 2026
- Evaluation
- Its evaluation tools test and track performance over time, help debug failures, and compare sample or model changes.parea.ai · read 2 Oct 2026
- Free-tier limits
- The Free plan lists a maximum of two team members, 3k logs per month with one-month retention, and 10 deployed prompts.parea.ai · read 2 Oct 2026
- Human review
- Users can collect feedback from end users, subject matter experts, and product teams, then comment on, annotate, and label logs for Q&A and fine-tuning.parea.ai · read 2 Oct 2026
- Intended users
- Parea's homepage describes the product as serving teams building production-ready LLM applications.parea.ai · read 2 Oct 2026
- LiteLLM integration
- Parea's LiteLLM guide explains how to wrap an OpenAI client to trace calls routed through LiteLLM and view their traces in the logs dashboard.docs.parea.ai · read 2 Oct 2026
- Observability
- Parea says it can log production and staging data, run online evaluations, capture user feedback, and track cost, latency, and quality.parea.ai · read 2 Oct 2026
- Product
- Parea describes itself as a platform for experiment tracking, observability, and human annotation to help teams ship LLM applications to production.parea.ai · read 2 Oct 2026
- Prompt tools
- The Prompt Playground lets users test multiple prompts on samples and large datasets, then deploy prompts to production.parea.ai · read 2 Oct 2026
- SDKs and integrations
- The homepage lists Python and JavaScript/TypeScript SDKs and integrations including OpenAI, Anthropic, LangChain, Instructor, DSPy, LiteLLM, Maven, SGLang, and Trigger.dev.parea.ai · read 2 Oct 2026
- Self-hosting
- Parea documents on-premise deployment through Docker, with frontend and backend services run in the customer's environment.docs.parea.ai · read 2 Oct 2026
