Fine-Tuned Model Deployment
Upload training examples, kick off a fine-tune, and deploy the resulting model to your agent — all from WhatsApp. The agent handles file upload, job monitoring, and deployment.
Conversation example
Start a fine-tune on o3-mini using the support-examples.jsonl file I uploaded yesterday
Uploading file and creating the fine-tune job...
Fine-tune started Base model: o3-mini Training file: support-examples.jsonl (2,418 examples) Job ID: ft-job-9x1a2b3c Status: queued Estimated time: 38 minutes I'll ping you when it completes. Once it's ready, want me to route support-intent tasks to the new model automatically?
More OpenAI use cases
Bring Your Own OpenAI Key for Reasoning
Connect your OpenAI API key and the LunoGen agent uses your account for all its reasoning calls. You keep billing control, access to your fine-tuned models, and your own rate limits.
Per-Task Model Selection
Configure different OpenAI models for different kinds of tasks. Use GPT-5.4 for long-form reasoning, o3-mini for quick replies, and a fine-tuned model for classification — all from WhatsApp.
Embeddings for Memory Recall
The agent uses OpenAI embeddings to remember things across conversations. Ask it anything you've mentioned before — it finds the most relevant snippet and brings it back with context.
OpenAI Cost Tracking Dashboard
The agent pulls your OpenAI usage every morning, breaks it down by model and task, and posts a cost dashboard to WhatsApp. You always know what the agent is spending.
Image Generation via DALL-E
Ask the agent to generate an image and it calls DALL-E 3 with your OpenAI key, uploads the result to Drive, and sends it to the WhatsApp chat in seconds.
Deploy this in minutes
Create a LunoGen agent, connect OpenAI, and start running this workflow from WhatsApp today.