Claude Code 2.1.310 Update: Monitor Tool Comes to Bedrock, Vertex, and Foundry

Claude Code version 2.1.310 extends the Monitor tool and plugin monitoring capabilities to Amazon Bedrock, Google Vertex AI, and Azure AI Foundry. This means enterprise developers using these cloud platforms can now get real-time monitoring and plugin status tracking in Claude Code as well.

Why This Update Matters

Claude Code previously relied mainly on Anthropic's official API environment, but many enterprises prefer to access Claude models through Bedrock, Vertex, or Foundry for data compliance and unified infrastructure management. The Monitor tool was previously unavailable on these platforms, which meant these users could not benefit from the observability that plugin monitoring provides. The 2.1.310 update closes this gap, giving teams with multi-cloud deployments a consistent experience across their toolchain.

According to the release notes, this update covers the Monitor tool itself as well as the plugin monitors feature, bringing them to the three major cloud platforms. For teams already running Claude Code on Bedrock or Vertex, the capability can be enabled without migrating to the official API.

Amazon Bedrock, Google Vertex AI, and Azure AI Foundry are the managed model hosting and invocation platforms offered by the three major cloud providers. The key difference between these and Anthropic's official API is that model calls go through the cloud provider's infrastructure, with billing, identity authentication, access logs, and data processing all incorporated into the enterprise's existing cloud accounts and compliance systems. Many enterprises choose this type of access because data stays within their cloud, they can manage it uniformly with existing IAM or Entra ID policies, and they can reuse procurement contracts and quota management. The trade-off is that some new features often launch first on the official API and are then gradually adapted to each cloud platform, creating a time lag in feature availability.

How the Monitor Tool Works

The core function of Monitor is to track the status and plugin activity of Claude Code at runtime. Developers can use it to observe whether plugins load as expected, whether anomalies occur during execution, and the related resource consumption.

Mechanically, Monitor collects plugin lifecycle events within a Claude Code session and exposes them in a queryable form. For scenarios involving debugging complex plugin combinations, this observability is more direct than poring over logs line by line.

A plugin is a modular component in Claude Code used to extend capabilities, and it can mount custom tools, commands, or hook logic. Plugin monitoring focuses on the lifecycle events of these components within a session, such as successful and failed loads, initialization time, hook trigger counts, and abnormal exits. Exposing them in a queryable form typically means these events are structured into searchable records or interfaces, so developers can filter by plugin name, event type, or time window instead of searching through unstructured runtime logs one by one. For environments with multiple plugins enabled at once, this event-dimension organization makes it easier to pinpoint which plugin had a problem at which stage.

The 30-Minute Limit and Known Constraints

This update also clarifies a hard constraint of Monitor: monitoring sessions are capped at 30 minutes. Beyond that duration, monitoring data no longer continues to accumulate. The official documentation describes this as a design limitation rather than a temporary defect.

This cap has little impact on short-cycle debugging tasks, but if teams want long-running background monitoring, they need to consider segmented collection or combining it with an external logging system. The release notes do not mention whether this limit will be relaxed in the future, so in practice it should be treated as the current capability boundary when planning.

How to Configure on the Three Platforms

The configuration process differs by platform, but the overall approach is the same: first enable the model access permissions required by Claude Code on the corresponding cloud platform, then complete the Monitor-related settings on the Claude Code side.

Taking Bedrock as an example, you need to ensure that IAM permissions cover the monitoring-related interfaces; Vertex and Foundry rely on the access control systems of Google Cloud and Azure, respectively. The release notes provide step-by-step setup guidance for each platform. It is recommended to follow the official documentation step by step to avoid permission gaps that prevent Monitor from initializing.

What This Means for Development Teams

Bringing the Monitor tool to the three major cloud platforms essentially extends Claude Code's observability from a single access method to multi-cloud consistency. For teams that have already incorporated AI coding assistants into their enterprise infrastructure, this reduces the friction of "losing features when switching platforms."

However, the 30-minute limit and the complexity of permission configuration on each platform remain factors to evaluate during implementation. It is recommended that teams first validate with a small-scale project whether Monitor behaves as expected on the target platform before rolling it out broadly.

One-line Summary

Claude Code 2.1.310 extends Monitor and plugin monitoring to Bedrock, Vertex, and Foundry, but there is a 30-minute limit.

Paragraph Summary

Claude Code version 2.1.310 extends the Monitor tool and plugin monitoring capabilities from the official API environment to Amazon Bedrock, Google Vertex AI, and Azure AI Foundry. Previously, many enterprises chose to access Claude models through cloud platforms for data compliance and unified infrastructure management but could not use the observability provided by plugin monitoring. This update closes that gap, giving multi-cloud teams a consistent experience without migration. The article also explains how Monitor works—collecting plugin lifecycle events and exposing them in a queryable form to facilitate debugging complex plugin combinations—and clarifies that the hard 30-minute cap on monitoring sessions is a design limitation, meaning long-running background monitoring requires segmented collection or integration with external logging systems. In terms of configuration, each platform relies on its own permission system and must be set up step by step according to the official documentation; teams are advised to validate on a small scale before rolling out.