AI gateway quickstart for Python - route OpenAI and Anthropic SDK traffic through identity, audit, policy, and kill-switch controls with a one-line...
Kimss AI is described as the independent Secure Enterprise Agent Control Plane, a model-agnostic gateway in front of vaulted providers. It routes traffic that already hits api.kimss.ai and provides registry, identity, Guardrails, a named kill switch, and governed-request FinOps. The site states that it does not host models, does not scan laptops, and is not Kimi (Moonshot AI). The developer quickstart is presented as a way to add governance to an app by routing agent traffic through the control plane, with identity-tied keys, spend caps, and logged calls from day one. A separate guardrails path covers tool-level authorization at the gateway, content safety, kill switch, and Threat Intercepts when traffic is blocked. Developers can build with a coding agent by pasting one prompt into Cascade, Cursor, or Claude Code; the agent fetches the public control-plane contract and rewires the repo, and new Python agents start from Kimss Forge. The control plane is model-agnostic, so teams can keep the OpenAI or Anthropic client they already ship or start from Kimss Forge. Pricing is per governed request rather than per model token, with inference remaining on the vaulted endpoints.
Teams use the Kimss quickstart to route agent traffic through the control plane.
Teams use the Kimss quickstart to add governance to their app with identity-tied keys, spend caps, and logged calls.
Teams use Kimss to secure agents with guardrails and tool-level authorization at the gateway.
Teams use Kimss to build with coding agents by pasting one prompt into Cascade, Cursor, or Claude Code.
Teams use Kimss to start new Python agents from Kimss Forge.
Teams use Kimss to keep the OpenAI or Anthropic client they already ship.
Teams use Kimss to register externally built agents and map each one to a human Entra identity.
Teams use Kimss to provision the fleet with SCIM.
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