Granular billable usage

Retrieve detailed trace usage data broken down by workspace, project, user, or API key.

For LangSmith Cloud, granular billable usage data collection started on January 5, 2026. Data is not available for usage before this date.

For self-hosted instances, data collection begins when the feature is enabled via environment variable or after upgrading to a version with it enabled by default.

LangSmith provides granular billable usage APIs that allow you to retrieve detailed trace usage data broken down by workspace, project, user, or API key. This enables you to:

• Track usage across different teams or workspaces
• Identify which users or API keys are consuming the most traces
• Analyze usage patterns over time
• Export usage data for internal reporting

Prerequisites

• You must have the organization:read permission to access granular usage data.
• You can only view usage for workspaces you have read access to.

View in the UI

You can also view granular usage data in the LangSmith UI:

1. Navigate to Settings > Billing and Usage
2. Select the Granular Usage tab
3. Use the controls to:
   • Select a time range:
     • Last 7 days, 30 days, 3 months, 6 months, 1 year, or custom
   • Choose aggregation level (daily, weekly, or monthly)
   • Group by workspace, project, user, or API key
   • Filter to specific workspaces
4. Click Export CSV to download the data

API endpoints

Get granular usage data

Retrieve granular usage data with flexible grouping options.

GET /api/v1/orgs/current/billing/granular-usage

Query parameters

Parameter	Type	Required	Description
start_time	datetime	Yes	Start of the time range (ISO 8601 format)
end_time	datetime	Yes	End of the time range (must be after start_time)
workspace_ids	array of UUIDs	Yes	Filter results to specific workspaces
group_by	string	No	Dimension to group by. One of: workspace, project, user, api_key. Default: workspace

Response

{
  "stride": {
    "days": 1,
    "hours": 0
  },
  "usage": [
    {
      "time_bucket": "2026-01-15T00:00:00Z",
      "dimensions": {
        "workspace_id": "uuid",
        "workspace_name": "My Workspace"
      },
      "traces": 1500
    }
  ]
}

The stride field indicates the time bucket size used for aggregation, calculated based on the requested time range:

Time range	Aggregation	Stride
Less than 1 day	Hourly	hours: 1
1-31 days	Daily	days: 1
32-93 days (~3 months)	Weekly	days: 7
94-366 days (~1 year)	Monthly	days: 30
More than 366 days	Yearly	days: 365

Example: Get usage by workspace

Python

import httpx
from datetime import datetime, timedelta, timezone

client = httpx.Client(
    base_url="https://api.smith.langchain.com",
    headers={"x-api-key": "<your-api-key>"}
)

end_time = datetime.now(timezone.utc)
start_time = end_time - timedelta(days=30)

response = client.get(
    "/api/v1/orgs/current/billing/granular-usage",
    params={
        "start_time": start_time.isoformat(),
        "end_time": end_time.isoformat(),
        "workspace_ids": ["<workspace-id>"],
        "group_by": "workspace"
    }
)

data = response.json()
for record in data["usage"]:
    print(f"{record['time_bucket']}: {record['traces']} traces")

Example: Get usage by user

Python

response = client.get(
    "/api/v1/orgs/current/billing/granular-usage",
    params={
        "start_time": start_time.isoformat(),
        "end_time": end_time.isoformat(),
        "workspace_ids": ["<workspace-id>"],
        "group_by": "user"
    }
)

data = response.json()
for record in data["usage"]:
    user_email = record["dimensions"].get("user_email", "Unknown")
    print(f"{user_email}: {record['traces']} traces")

Export usage as CSV

Export granular usage data as a downloadable CSV file.

GET /api/v1/orgs/current/billing/granular-usage/export

This endpoint accepts the same query parameters as the granular usage endpoint and returns a CSV file.

The CSV always includes all columns, but only the columns relevant to the selected group_by option are populated:

Column	Description
Time Bucket Start	Start of the time bucket
Time Bucket End	End of the time bucket
Workspace ID	UUID of the workspace (when grouping by workspace)
Workspace Name	Name of the workspace (when grouping by workspace)
Project ID	UUID of the project (when grouping by project)
Project Name	Name of the project (when grouping by project)
User ID	UUID of the user (when grouping by user)
User Email	Email of the user (when grouping by user)
API Key Short Key	Short key identifier (when grouping by API key)
Traces	Number of traces in the time bucket

Example: Export to CSV

Python

response = client.get(
    "/api/v1/orgs/current/billing/granular-usage/export",
    params={
        "start_time": start_time.isoformat(),
        "end_time": end_time.isoformat(),
        "workspace_ids": ["<workspace-id>"],
        "group_by": "workspace"
    }
)

# Save to file
with open("usage_report.csv", "wb") as f:
    f.write(response.content)

Grouping options

The group_by parameter determines how usage data is aggregated:

Value	Description	Dimensions returned
workspace	Group by workspace	workspace_id, workspace_name
project	Group by project	project_id, project_name
user	Group by user	user_id, user_email
api_key	Group by API key	api_key_short_key

Related resources

• Manage billing in your account
• Organization and workspace operations

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