Solutions · AI Agents & Copilots

Agents that survive production

Function calling, structured output, guardrails and observability — the infrastructure difference between a demo agent and a dependable one.

Native function calling

Tool use and structured JSON output built into the serving layer — no prompt hacks holding your pipeline together.

Guardrails built in

Safety models and policy checks in the request path, so agents stay inside the lines you draw.

Observable by default

Per-request tracing and quality metrics — see what your agent did, why, and what it cost, every time.

An open blueprint for production agents

Our reference architecture wires Token Factory, RAG tooling and ModelOps into a governed agent stack: retrieve, reason, act, log — with evaluation loops that catch regressions before users do.

  • Token Factory endpoints with 99.9% SLA
  • RAG tooling with managed vector storage
  • Evaluation and monitoring via ModelOps
Explore Token Factory
Diagram of a production agent architecture with tools and feedback loop

Start your journey today

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