Capability · Framework — observability
Galileo
Galileo positions itself as the reliability layer for enterprise GenAI. Its Evaluate, Observe, and Protect products cover pre-deploy evaluation, production tracing, and runtime guardrails — with an emphasis on hallucination detection, PII, and compliance-ready reporting used at banks and healthcare firms.
Framework facts
- Category
- observability
- Language
- Python / TypeScript SDKs
- License
- Proprietary
- Repository
- https://docs.galileo.ai/
Install
pip install galileo-observe galileo-protect galileo-prompt-quality Quickstart
import os
from galileo_observe import GalileoObserveCallback
from langchain_anthropic import ChatAnthropic
os.environ['GALILEO_API_KEY'] = '...'
cb = GalileoObserveCallback(project_name='vset-demo')
llm = ChatAnthropic(model='claude-opus-4-7', callbacks=[cb])
llm.invoke('Summarise VSET in one sentence.') Alternatives
- Arize AI — enterprise observability
- Fiddler — responsible AI platform
- Langfuse — open-source
- WhyLabs — LLM monitoring
Frequently asked questions
Who is Galileo for?
Mid-to-large enterprises deploying LLMs in regulated contexts — finance, healthcare, government — that need auditable guardrails, PII handling, and per-tenant isolation.
Is there a free tier?
Yes, a community plan. Production features such as Protect guardrails and VPC deployment require a paid contract.
Sources
- Galileo — docs — accessed 2026-04-20
- Galileo — ChainPoll paper — accessed 2026-04-20