List Configs

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

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

Get an array of versions associated to your file.

Path parameters

idstringRequired

String ID of project. Starts with pr_.

Query parameters

evaluation_aggregatesbooleanOptional

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_datapointsinteger or null

Number of datapoints associated with this project model config.

evaluation_aggregateslist of objects or null

Aggregates of evaluators for the model config.

Path parameters

Headers

Query parameters

Response

Errors