Enterprise AI teams commonly build LLM gateways to centralize routing, policy enforcement, and spend tracking. Snowflake Cortex Inference integrates into this pattern by exposing OpenAI-compatible and Anthropic-compatible REST APIs, allowing teams to add Cortex as a backend without changing application-side clients. LiteLLM now officially supports Snowflake Cortex as a provider, enabling PAT-based auth, streaming, tool calling, and embeddings. Key benefits include reduced credential sprawl via a single Programmatic Access Token, inference running within the Snowflake security perimeter with RBAC governance, and AI spend visibility through SQL in the same platform used for other Snowflake cost tracking. A practical getting-started guide covers generating a PAT, configuring the gateway base URL, and testing with a raw curl request.

6m read timeFrom medium.com
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Why Cortex fits the architecture most enterprise AI teams already use.The Enterprise Reality: Everyone Builds a GatewayWhat Cortex Gives Gateway BuildersThe OSS Proof Point: LiteLLMWhy This Matters Even If You Do Not Use LiteLLMGet Navnit Shukla’s stories in your inboxGetting startedThe Real TakeawaySources
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