Running Claude Code across an enterprise team introduces operational challenges: scattered API keys, uncontrolled costs, no visibility, and no fallback when providers go down. Best practices include building a credential hierarchy instead of distributing raw API keys, setting budget and rate limits per team or developer before rollout, logging every request with metadata for cost attribution, configuring automatic provider failover across Anthropic, Bedrock, and Vertex AI, and applying input/output guardrails. An AI gateway like Portkey sits between Claude Code and LLM providers to implement all of these controls without changing developer workflows, configured via a two-minute edit to Claude's settings.json.
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