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This guide helps you choose the right tools and integration path based on how you use language models and agents.
Logging, gateway, or tracing? VIDEO
LLM logging
Call the LLM yourself , and we help you monitor those calls.
If you already have LLM API calls in your code and just want observability (prompt, response, latency, user tracking, etc.), use the Logging API .
No latency
Works with any LLM provider
Fast setup with a single HTTP call
👉 Quickstart
LLM gateway
We help you to handle LLM calls and everything.
The Gateway is the easiest way to connect to major LLM providers. We can help you to handle rerouting, retries, load-balancing, caching, fallbacks, and etc..
50 - 150ms latency
Support 250+ models
Built-in cost tracking, retries, observability
👉 Quickstart
Agent tracing
Track your agent workflows step by step
Perfect for multi-step chains, working with popular AI agent frameworks.
Native support for OpenAI Agent SDK , Mastra , and more
Custom step tracing with our SDK
Visualize execution trees, tools, retries, state changes
👉 Quickstart
Prompt management and evaluations
Isolate prompts from code, collaborate with prompt engineers, and iterate faster.
Version control for prompts
Human + LLM evaluation pipelines
Visual scoreboards, test sets, experiments
👉 Quickstart
Need help? Join our discord — we’ll help you as best we can.
