Freeplay
End-to-end LLM product experimentation, evaluation, and observability platform.
About
Freeplay is an LLM product operations platform that unifies observability, experimentation, and evaluation in one workflow for cross-functional teams. It acts as a source of truth for prompt templates, records completions and sessions from production, curates test datasets, runs batch test runs with LLM-judge evaluations, and captures human and customer feedback.
The platform supports agentic workflows with integrations for LangGraph, Google's Agent Development Kit, and the Vercel AI SDK, tracking tool calls, decision paths, and multi-turn conversations. It is designed for collaboration between engineers, data scientists, product managers, and domain experts, with prompt management that lets non-engineers run experiments without code changes.
What it can do
- Production LLM observability and tracing
- Prompt template versioning
- Batch test runs and LLM-judge evals
- Customer feedback capture
- Agent workflow tracking
Setup
Sign up for a Freeplay account, get an API key, and pip install freeplay.
Prerequisites
An LLM application or agent in development or production; Python 3.10+ for the SDK.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 84; Trending score 78/100 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.