Get Active Config

1 import requests 2 3 url = "https://api.humanloop.com/v4/projects/id/active-config" 4 5 headers = {"X-API-KEY": "<apiKey>"} 6 7 response = requests.get(url, headers=headers) 8 9 print(response.json())

1 { 2 "project_id": "project_id", 3 "project_name": "project_name", 4 "created_at": "2024-01-15T09:30:00Z", 5 "updated_at": "2024-01-15T09:30:00Z", 6 "last_used": "2024-01-15T09:30:00Z", 7 "config": { 8 "type": "model", 9 "id": "id", 10 "model": "model", 11 "chat_template": [ 12 { 13 "role": "user" 14 } 15 ], 16 "description": "description", 17 "endpoint": "complete", 18 "frequency_penalty": 1.1, 19 "max_tokens": 1, 20 "name": "name", 21 "other": { 22 "key": "value" 23 }, 24 "presence_penalty": 1.1, 25 "prompt_template": "prompt_template", 26 "provider": "openai", 27 "reasoning_effort": "high", 28 "response_format": { 29 "type": "json_object", 30 "json_schema": { 31 "key": "value" 32 } 33 }, 34 "seed": 1, 35 "stop": "stop", 36 "temperature": 1.1, 37 "template_language": "default", 38 "tools": [ 39 { 40 "id": "id", 41 "name": "name" 42 } 43 ], 44 "top_p": 1.1, 45 "tool_configs": [ 46 { 47 "id": "id", 48 "status": "status", 49 "name": "name" 50 } 51 ] 52 }, 53 "num_datapoints": 1, 54 "evaluation_aggregates": [ 55 { 56 "model_config_id": "model_config_id", 57 "evaluator_id": "evaluator_id", 58 "evaluator_version_id": "evaluator_version_id", 59 "aggregate_value": 1.1 60 } 61 ], 62 "environment_id": "environment_id" 63 }

Retrieves a config to use to execute your model.

A config will be selected based on the project’s active config settings.

Path parameters

idstringRequired

String ID of project. Starts with pr_.

Query parameters

environmentstringOptional

Name for the environment. E.g. ‘production’. If not provided, will return the active config for the default environment.

Response

Successful Response

project_idstring

String ID of project the model config belongs to. Starts with pr_.

project_namestring

Name of the project the model config belongs to.

created_atdatetime

updated_atdatetime

last_useddatetime

configobject

num_datapointsintegerOptional

Number of datapoints associated with this project model config.

evaluation_aggregateslist of objectsOptional

Aggregates of evaluators for the model config.

environment_idstringOptional

ID of environment to reference in subsequent log calls.

Path parameters

Headers

Query parameters

Response

Errors