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POST
/
export
/
models
Export model usage data
curl --request POST \
  --url https://api.langdock.com/export/models \
  --header 'Authorization: <authorization>' \
  --header 'Content-Type: application/json' \
  --data '{
  "from": {
    "date": "2024-01-01T00:00:00.000Z",
    "timezone": "UTC"
  },
  "to": {
    "date": "2024-01-31T23:59:59.999Z",
    "timezone": "UTC"
  }
}'
{
  "success": true,
  "data": {
    "filePath": "assistants-usage/workspace-id/assistants-usage-2024-01-01-2024-01-31-abc12345.csv",
    "downloadUrl": "https://storage.example.com/signed-url",
    "dataType": "assistants",
    "recordCount": 1250,
    "dateRange": {
      "from": "2024-01-01T00:00:00.000Z",
      "to": "2024-01-31T23:59:59.999Z"
    }
  }
}
This endpoint exports AI model usage data including token consumption, costs per model, request counts, and response times.

​
Data Included

The model export contains:
  • AI models used (GPT-4, Claude, etc.)
  • Token consumption per model
  • Cost per model
  • Request counts
  • Response times
  • Error rates by model
  • Usage patterns over time

​
Cost Analysis

The model export is particularly valuable for cost analysis and optimization. You can use this data to:
  • Identify the most expensive models in your usage
  • Track cost trends over time
  • Optimize model selection for different use cases
  • Budget for future AI model usage
Additional Information: For details on prerequisites, rate limits, and export size limits, please refer to the main Usage Export API documentation.

Headers

​
Authorization
string
required

Body

application/json
​
from
object
required
​
to
object
required

Response

​
success
boolean
required
Example:
​
data
object
required