{ "opencollection": "1.0.0", "info": { "name": "UpTrain Managed Auth Evaluation API", "version": "0.7.1" }, "request": { "auth": { "type": "apikey", "key": "uptrain-access-token", "value": "{{uptrain-access-token}}", "placement": "header" } }, "items": [ { "info": { "name": "Evaluation", "type": "folder" }, "items": [ { "info": { "name": "Run evaluations on a set of LLM responses.", "type": "http" }, "http": { "method": "POST", "url": "https://demo.uptrain.ai/api/public/evaluate", "body": { "type": "json", "data": "{}" } }, "docs": "Evaluates each row of input data against the supplied list of checks and returns the original rows enriched with per-check scores and explanations. Grading LLM calls are run server-side by UpTrain." }, { "info": { "name": "Log data to a project and evaluate it.", "type": "http" }, "http": { "method": "POST", "url": "https://demo.uptrain.ai/api/public/log_and_evaluate", "body": { "type": "json", "data": "{}" } }, "docs": "Logs the supplied data under a named project and runs the requested checks, persisting results so they are visible on the UpTrain dashboard with real-time monitoring. This endpoint also backs the SDK's evaluate_experiments method, which adds experiment column names for A/B comparison of prompt or model variants." }, { "info": { "name": "Download evaluation results for a project.", "type": "http" }, "http": { "method": "GET", "url": "https://demo.uptrain.ai/api/public/evaluation_results/:project_name", "params": [ { "name": "project_name", "value": "", "type": "path" } ] }, "docs": "Download evaluation results for a project." } ] } ], "bundled": true }