What changed
v2.1.273 (immediately following the quick-fix v2.1.272 at 00:42 UTC) fixes two more enterprise policy enforcement regressions: MDM/managed-settings configuration was being ignored instead of enforced, and skills synced from claude.ai were remaining active after an organization disabled them. It also adds LLM gateway hint headers (opt-in via env var), session forking from Remote Control sessions, fast mode in Cloud and self-hosted Remote sessions, and fixes MCP server authentication expiration handling, 401/403 error messaging on Bedrock/Vertex/Foundry, and artifact upload stalls in auto mode under Remote Control.
Developer signal
Three things require immediate attention: (1) Enterprise update required โ now: managed-settings (the MDM/fleet-management configuration file) was being ignored rather than enforced, and skills disabled at the org level continued to appear in agent sessions. If your organization uses MDM to configure Claude Code or manages which claude.ai skills are available to users, those policies were not being applied. Update to v2.1.273 immediately with npm install -g @anthropic-ai/claude-code@latest. After updating, smoke-test your full config stack โ managed-mcp.json (fixed in v2.1.271), managed-settings (fixed here), and your org's skill disable list. (2) LLM gateway hint headers โ if your team routes Claude Code traffic through an LLM proxy or gateway, opt in to CLAUDE_CODE_GATEWAY_HINT_HEADERS=1 to have Claude Code attach request-class metadata headers (x-claude-code-request-class, x-claude-code-agent-type, and others) to outbound requests. This lets your gateway tier traffic by type โ interactive vs. background, human vs. subagent โ for cost attribution, rate limiting, or routing to different model tiers. (3) Remote Control session forking โ sessions started with claude --remote-control or via /remote-control from the Claude app can now be forked; forks run as background sessions. This enables branching a running session without interrupting the parent โ useful for exploratory subagent work where you want to preserve the main session state.