Oumi Integration
Oumi Integration
Oumi integration enables fine-tuning of agents based on match results.
Overview
Oumi provides:
- Training dataset export
- Fine-tuning job submission
- Model improvement pipeline
Setup
Configure Oumi in backend/.env:
OUMI_API_URL=https://api.oumi.aiOUMI_API_KEY=your_oumi_api_keyDataset Export
Export training datasets in Oumi-compatible format (SFT chat format):
POST /api/oumi/export-dataset{ "matchIds": ["AR-2024-0142"], "format": "sft"}Fine-tuning
Submit fine-tuning jobs:
POST /api/oumi/fine-tune{ "datasetId": "dataset-123", "model": "llama-3.3-70b-versatile", "method": "lora"}Supported Methods
- LoRA
- QLoRA
- Full fine-tuning
Next Steps
- Oumi API - Complete API reference
- Fine-tuning Guide - Fine-tuning workflow