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

# Fleet RLM overview

> Fleet RLM is a terminal assistant and FastAPI backend that runs DSPy recursive language model Turns in isolated Daytona Sandboxes.

Fleet RLM is a terminal-based assistant for work that needs reasoning, Python, and files. You ask a question, watch the work stream into your terminal, and return to the saved Session later.

Fleet RLM combines three pieces:

* [DSPy](https://github.com/stanfordnlp/dspy) `dspy.RLM` runs the recursive language model (RLM) reasoning loop.
* [Daytona](https://www.daytona.io/) Sandboxes run every line of model-authored Python, outside the Fleet process.
* A FastAPI backend streams progress over Server-Sent Events (SSE) and persists Sessions, Turns, and Artifacts.

The current release is `fleet-rlm` 0.7.11. It requires Python 3.11 to 3.13 and is certified on exactly DSPy 3.4.0.

## What you can do

* **See the work as it happens.** The terminal shows reasoning, generated Python, tool activity, and results in one timeline.
* **Continue a Session.** Committed conversation history survives a restart when a database is configured.
* **Work with files.** Attach local files to a Turn, browse workspace files, and download committed Artifacts.
* **Delegate bounded sub-investigations.** Fleet enables DSPy semantic calls and isolated child RLMs for independent work. Set `rlm.recursion_enabled = false` for native-only operation.
* **Drive it from your own client.** The same backend runs without the terminal and exposes a small HTTP and SSE API.

## How the pieces fit

```text theme={null}
Terminal client → FastAPI/SSE backend → DSPy RLM → Daytona Sandbox
                         ↘ durable Sessions and committed results
```

The backend prepares each request, runs model-authored Python in Daytona, and streams progress to the terminal. Fleet commits the answer and any Artifacts only after the Run settles.

## Next steps

<CardGroup cols={2}>
  <Card title="Quickstart" icon="rocket" href="/fleet-rlm/quickstart">
    Install Fleet RLM and run your first live Session.
  </Card>

  <Card title="How Fleet RLM works" icon="workflow" href="/fleet-rlm/concepts/how-it-works">
    Follow a Turn from request to committed result.
  </Card>

  <Card title="Use the terminal" icon="terminal" href="/fleet-rlm/guides/terminal">
    Slash commands for files, Sessions, Skills, and settings.
  </Card>

  <Card title="HTTP API" icon="code" href="/fleet-rlm/reference/http-api">
    Sessions, Turns, files, and the SSE stream contract.
  </Card>
</CardGroup>


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