The observability platform built for the LLM era. Track latency, costs, and hallucination rates with a single line of code. Coming soon.
Don't fly blind. Axio Metrics will provide the granular data you need to optimize your LLM chains in production. Coming soon.
Visualize the entire execution path of your LangChain or LlamaIndex applications. Identify bottlenecks instantly.
Run continuous evaluations against golden datasets. Detect regression in answer quality before deployment.
Track token usage per user, session, or model. Set budget alerts and optimize spend across providers.
Works with your existing stack. Whether you use OpenAI, Anthropic, or open-source models via HuggingFace.
Zero latency impact on your production calls. Background data processing.
First-class support for Python and TypeScript with full auto-completion.
import axio from axio.tracers import LangChainTracer # 1. Initialize the SDK axio.init( api_key="ax_live_938...", environment="production" ) # 2. Decorate your LLM function @axio.trace async def generate_response(prompt): result = await llm.predict( prompt, callbacks=[LangChainTracer()] ) return result
Choose the plan that fits your needs. Coming soon.
Perfect for getting started
For growing teams
For large organizations