Coder powers secure, scalable development across key industries — automotive, finance, government, and technology — enabling faster builds, tighter compliance, and seamless AI adoption in enterprise-grade cloud environments.
Coder provides admin-only controls for monitoring and controlling agent
spend: usage limits and cost tracking.
Usage limits
Navigate to Agents > Settings > Manage Agents > Spend.
Usage limits cap how much each user can spend on LLM usage within a rolling
time period. When enabled, the system checks the user's current spend before
processing each chat message.
Configuration
Enable/disable toggle — master on/off for the entire limit system.
Period — day, week, or month. Periods are UTC-aligned: midnight
UTC for daily, Monday start for weekly, first of the month for monthly.
Default limit — deployment-wide default in dollars. Applies to all
users who do not have a more specific override. Leave unset for no limit.
Per-user overrides — set a custom dollar limit for an individual user.
Takes highest priority.
Per-group overrides — set a limit for a group. When a user belongs to
multiple groups, the lowest group limit applies.
Priority hierarchy
The system resolves a user's effective limit in this order:
Individual user override (highest priority)
Minimum group limit across all of the user's groups
Global default limit
No limit (if limits are disabled or no value is configured)
Enforcement
Checked before each chat message is processed.
When current spend meets or exceeds the limit, the chat returns a
409 Conflict response and the message is blocked.
Fail-open: if the limit query itself fails, the message is allowed
through.
Brief overage is possible when concurrent messages are in flight, because
cost is determined only after the LLM returns.
User-facing status
Users can view their own spend status, including whether a limit is active,
their effective limit, current spend, and when the current period resets.
Note
The admin configuration page shows the count of models without pricing
data. Models missing pricing cannot be tracked accurately against limits.
Cost tracking
Navigate to Agents > Settings > Manage Agents > Spend.
This view shows deployment-wide LLM chat costs with per-user drill-down.
Top-level view
A per-user rollup table with the following columns:
Column
Description
Total cost
Aggregate dollar spend for the user
Messages
Number of chat messages sent
Chats
Number of distinct chat sessions
Input tokens
Total input tokens consumed
Output tokens
Total output tokens consumed
Cache read tokens
Tokens served from cache
Cache write tokens
Tokens written to cache
The table supports date range filtering (default: last 30 days), search by
name or username, and pagination.
Per-user detail view
Select a user to see:
Summary cards — total cost, token breakdowns, and message counts.
Usage limit progress — if a limit is active, a color-coded progress
bar shows current spend relative to the limit.
Per-model breakdown — table of costs and token usage by model.
Per-chat breakdown — table of costs and token usage by chat session.
Note
Automatic title generation uses lightweight models, such as Claude Haiku or GPT-4o
Mini. Its token usage is not counted towards usage limits or shown in usage
summaries.
