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POST
/
log-request
Log Request
curl --request POST \
  --url https://api.promptlayer.com/log-request \
  --header 'Content-Type: application/json' \
  --header 'X-API-KEY: <x-api-key>' \
  --data '{
  "provider": "<string>",
  "model": "<string>",
  "input": {
    "content": [
      {
        "type": "text",
        "text": "<string>"
      }
    ],
    "input_variables": [],
    "template_format": "f-string",
    "type": "completion"
  },
  "output": {
    "content": [
      {
        "type": "text",
        "text": "<string>"
      }
    ],
    "input_variables": [
      "<string>"
    ],
    "template_format": "f-string",
    "type": "completion"
  },
  "request_start_time": "2023-11-07T05:31:56Z",
  "request_end_time": "2023-11-07T05:31:56Z",
  "parameters": {},
  "tags": [],
  "metadata": {},
  "prompt_name": "<string>",
  "prompt_id": 123,
  "prompt_version_number": 1,
  "prompt_input_variables": {},
  "input_tokens": 0,
  "output_tokens": 0,
  "price": 0,
  "function_name": "",
  "score": 0
}'
{
  "id": 123,
  "prompt_version": {
    "prompt_template": {
      "content": [
        {
          "type": "text",
          "text": "<string>"
        }
      ],
      "input_variables": [],
      "template_format": "f-string",
      "type": "completion"
    },
    "commit_message": "<string>",
    "metadata": {
      "model": {
        "provider": "<string>",
        "name": "<string>",
        "parameters": {}
      },
      "customField": "<string>"
    }
  }
}
Log a request to the system. This is useful for logging requests from custom LLM providers.

​
Using Structured Outputs

When logging requests that use structured outputs (JSON schemas), include the schema configuration in the parameters field using the response_format.json_schema structure. Example: 
{
  "provider": "openai",
  "model": "gpt-4",
  "parameters": {
    "temperature": 0.7,
    "response_format": {
      "type": "json_schema",
      "json_schema": {
        "name": "YourSchemaName",
        "schema": {
          "type": "object",
          "properties": {
            "field1": {"type": "string"}
          },
          "required": ["field1"]
        }
      }
    }
  }
}
For complete examples with OpenAI, Anthropic, Google Gemini, and detailed implementation guidance, see: Logging Structured Outputs Guide →

Headers

​
X-API-KEY
string
required

API key to authorize the operation.

Body

application/json
​
provider
string
required
​
model
string
required
​
input
object
required
  • Completion Template
  • Chat Template
​
output
object
required
  • Completion Template
  • Chat Template
​
request_start_time
string<date-time>
required
​
request_end_time
string<date-time>
required
​
parameters
object

Model parameters including temperature, max_tokens, etc. Can also include structured output configuration via response_format.json_schema. See documentation for structured output examples.

​
tags
string[]
​
metadata
object

Custom key-value pairs for tracking additional request information. Keys are limited to 1024 characters.

​
prompt_name
string | null
​
prompt_id
integer | null

The ID of the prompt template used for this request. This is useful for tracking which prompt was used in the request.

​
prompt_version_number
integer | null
Required range: x > 0
​
prompt_input_variables
object
​
input_tokens
integer
default:0
Required range: x >= 0
​
output_tokens
integer
default:0
Required range: x >= 0
​
price
number
default:0
Required range: x >= 0
​
function_name
string
default:""
​
score
integer
default:0
Required range: 0 <= x <= 100

Response

Successful Response

​
id
integer
required
​
prompt_version
object
required