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Advisor

Early Access
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Note

This feature is experimental. Pin a release before broad rollout and review the release notes before upgrading.

Enable the experiment

coder server --experiments=chat-advisor

Or set the environment variable:

CODER_EXPERIMENTS=chat-advisor

What it does

Lets a root agent pause its current turn and request strategic guidance from a separate, single-step model call. The advisor sees recent conversation context, runs without any tools, and returns concise advice for the root agent rather than the end user. While active, it is the only tool the root agent can call for that turn.

Useful for planning ambiguity, architectural tradeoffs, debugging strategy after repeated failures, or risk reduction before a destructive operation.

Configuration

Once the experiment is enabled, configure the advisor's runtime limits under Admin settings > AI > Coder Agents > Deployment settings. Use the Advisor card. These limits apply deployment-wide.

FieldDefaultNotes
Max uses per turn0 (unlimited)Caps how many times the root agent can call the advisor in a single chat turn. Must be a non-negative integer.
Max output tokens0 (server default)Caps the advisor model's response length. 0 uses the server default of 16,384 tokens. Must be a non-negative integer.

The advisor model and its reasoning effort are organization-scoped model overrides. Configure them in the Organization settings section of Admin settings > AI > Coder Agents for the selected organization. When no override is set, the advisor reuses the root agent's model.

The advisor is not available in plan mode or to subagents. Failed advisor invocations refund the per-turn budget.

The same configuration is available through the API: runtime limits at GET/PUT /api/experimental/chats/config/advisor, and the advisor model override at PUT /api/experimental/organizations/{organization}/chats/model-overrides/advisor.