> ## Documentation Index
> Fetch the complete documentation index at: https://fireworks.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Reinforcement Fine-Tuning (removed)

> Managed reinforcement fine-tuning has been removed. Find your existing RFT jobs with firectl, and run new reinforcement learning on the Training API.

> [!WARNING]
>
> **Managed reinforcement fine-tuning has been removed.** It accepts no new jobs, and existing jobs can't run or resume. Reinforcement learning runs on the Training API. Start with [Cookbook: Reinforcement Learning](https://fireworks.ai/docs/fine-tuning/training-api/cookbook/rl.md).

> [card] [Cookbook: Reinforcement Learning](https://fireworks.ai/docs/fine-tuning/training-api/cookbook/rl.md)
>
> Async GRPO with a custom rollout function on the Training API.

> [card] [Cookbook: Agentic RL](https://fireworks.ai/docs/fine-tuning/training-api/cookbook/agentic-rl.md)
>
> Multi-turn harnesses, tools, sandboxes, and token ancestry.

## Existing jobs

Your managed RFT jobs stay in your account until you delete them. A job that had not finished was marked failed, with a message that managed RFT was removed.

| Task | How |
| - | - |
| List your jobs | [`firectl reinforcement-fine-tuning-job list`](https://fireworks.ai/docs/tools-sdks/firectl/commands/reinforcement-fine-tuning-job-list) or the dashboard |
| Read one job | [`firectl reinforcement-fine-tuning-job get`](https://fireworks.ai/docs/tools-sdks/firectl/commands/reinforcement-fine-tuning-job-get) or the dashboard |
| Delete a job | [`firectl reinforcement-fine-tuning-job delete`](https://fireworks.ai/docs/tools-sdks/firectl/commands/reinforcement-fine-tuning-job-delete) |

The REST API and the Python SDK no longer serve managed RFT jobs.

Models your RFT jobs produced are ordinary models in your account. [Deploy them](https://fireworks.ai/docs/fine-tuning/deploying-loras.md) like any other fine-tuned model.

## Evaluators and evaluation jobs

Evaluators and evaluation jobs have been removed too. On the Training API, your rollout code computes the reward for each sample.


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