Principle:Openai Openai python Fine Tuned Model Usage

Knowledge Sources	OpenAI Fine-tuning Guide openai-python
Domains	Fine_Tuning, Model_Deployment
Last Updated	2026-02-15 00:00 GMT

Overview

A model deployment pattern for using fine-tuned models in production by referencing the custom model identifier in standard API calls.

Description

After a fine-tuning job succeeds, the resulting model is available via its unique identifier (format: ft:model:org:suffix:id). This model can be used in any standard API call (chat completions, responses) by passing it as the model parameter. Models can also be deleted when no longer needed to free resources and stop incurring storage costs.

Usage

Use this principle after a fine-tuning job completes successfully. Retrieve the model name from job.fine_tuned_model and use it in chat completions or responses API calls. Delete the model when it is no longer needed.

Theoretical Basis

# Use fine-tuned model (same API, different model name)
response = chat_completions(
    model="ft:gpt-4o-mini-2024-07-18:org:suffix:id",
    messages=[...]
)

# Delete when no longer needed
delete_model(model="ft:gpt-4o-mini-2024-07-18:org:suffix:id")

Related Pages

Implemented By

• Implementation:Openai_Openai_python_Fine_Tuned_Model_Inference