{ "opencollection": "1.0.0", "info": { "name": "Pioneer Inference anthropic-compat inference-history API", "version": "1.0.0" }, "request": { "auth": { "type": "apikey", "key": "X-API-Key", "value": "{{X-API-Key}}", "placement": "header" } }, "items": [ { "info": { "name": "inference-history", "type": "folder" }, "items": [ { "info": { "name": "List inference history", "type": "http" }, "http": { "method": "GET", "url": "https://api.pioneer.ai/inferences", "params": [ { "name": "limit", "value": "", "type": "query", "description": "Maximum records to return." }, { "name": "offset", "value": "", "type": "query", "description": "Records to skip for pagination." }, { "name": "model_id", "value": "", "type": "query", "description": "Filter by model ID." }, { "name": "project_id", "value": "", "type": "query", "description": "Filter by project ID." }, { "name": "training_job_id", "value": "", "type": "query", "description": "Filter by training job UUID." }, { "name": "task", "value": "", "type": "query", "description": "Filter by task type (extract_entities, classify_text, extract_json, generate)." }, { "name": "latency_min", "value": "", "type": "query", "description": "Minimum latency in ms." }, { "name": "latency_max", "value": "", "type": "query", "description": "Maximum latency in ms." }, { "name": "llmaj_score_min", "value": "", "type": "query", "description": "Minimum LLM-as-Judge score [0.0, 1.0]." }, { "name": "llmaj_score_max", "value": "", "type": "query", "description": "Maximum LLM-as-Judge score [0.0, 1.0]." }, { "name": "since", "value": "", "type": "query", "description": "Return records created at or after this ISO 8601 timestamp." }, { "name": "until", "value": "", "type": "query", "description": "Return records created at or before this ISO 8601 timestamp." } ] }, "docs": "Paginated list of past inference records for the authenticated user's team. Supports filtering by model, project, task type, latency range, and LLM-as-Judge score." }, { "info": { "name": "Get an inference record", "type": "http" }, "http": { "method": "GET", "url": "https://api.pioneer.ai/inferences/:inference_id", "params": [ { "name": "inference_id", "value": "", "type": "path", "description": "The inference record UUID returned in `inference_id` on any inference response." } ] }, "docs": "Retrieve a single inference record by ID. Includes LLM-as-Judge verdict and score when judging has completed (fields are null until then)." }, { "info": { "name": "Submit inference feedback", "type": "http" }, "http": { "method": "POST", "url": "https://api.pioneer.ai/inferences/:inference_id/feedback", "params": [ { "name": "inference_id", "value": "", "type": "path", "description": "The inference record UUID to annotate." } ], "body": { "type": "json", "data": "{}" } }, "docs": "Submit a human correction on a past inference. Corrections are used as labeled examples for Adaptive Inference — Pioneer's continuous improvement loop that retrains your model on corrected live-traffic examples." } ] } ], "bundled": true }