Infrastructure
Route, observe, eval, deploy, secure LLM calls
One interface, switch providers without rewriting
See what LLM calls do, costs, and why they fail
Measure if LLM output is getting better or worse
Run your own models in production
Block harmful input or output
Data & Retrieval
LLM needs private, up-to-date knowledge it wasn't trained on
Store and retrieve embeddings for semantic similarity
Messy files, pages, APIs into clean chunks for LLMs
Models
Choose, host, or customize the right LLM for your use case
Frontier models via API
Run open-weight models yourself
Adapt a base model to your domain
Agents
LLMs that reason, use tools, remember, act autonomously
Structure how LLMs reason, loop, decide next steps
Isolated environments for agent-generated or untrusted code
Persistent context that survives beyond one conversation
Long-lived, retryable workflows that survive failures
Developer Tools
Build and ship AI-powered apps faster
Client libraries and toolkits for streaming, tools, and model calls
Prebuilt chat interfaces and demos without building UI from scratch
Coding Assistants
Write, refactor, debug faster with AI in your editor