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Documentation Index

Fetch the complete documentation index at: https://docs.qredence.ai/llms.txt

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fleet-rlm exposes two command entrypoints:
  • fleet-rlm — Typer-based command group with subcommands for server modes, optimization, and terminal chat.
  • fleet — Lightweight launcher for terminal chat and Web UI startup.

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fleet-rlm

Usage: fleet-rlm [OPTIONS] COMMAND [ARGS]...

Commands:
  serve-api      Run the FastAPI server surface (used by `fleet web`).
  optimize       Run DSPy optimization workflows.
  chat           Start standalone in-process interactive terminal chat.
  daytona-smoke  Run a native Daytona smoke validation without invoking an LM.

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fleet-rlm serve-api

Run the FastAPI HTTP/WebSocket server. This is the backend for the Web UI and is invoked by fleet web. 
Usage: fleet-rlm serve-api [OPTIONS]

Options:
  --host TEXT      Bind host          [default: 127.0.0.1]
  --port INTEGER   Bind port          [default: 8000]
Examples: 
# Default host:port
uv run fleet-rlm serve-api

# Bind to all interfaces on a custom port
uv run fleet-rlm serve-api --host 0.0.0.0 --port 8080

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fleet-rlm chat

Start standalone in-process interactive terminal chat with the RLM agent. 
Usage: fleet-rlm chat [OPTIONS]

Options:
  --docs-path PATH         Optional document path to preload as active context
  --trace / --no-trace     Enable verbose thought/status display
  --trace-mode TEXT        Trace display mode: compact, verbose, or off
  --volume-name TEXT       Optional Daytona volume name for persistent storage
Trace modes:
ModeDescription
compactCondensed trace output (default)
verboseFull thought/status display
offDisable trace output
Examples: 
# Interactive chat with default trace
uv run fleet-rlm chat

# Preload a document as active context
uv run fleet-rlm chat --docs-path ./docs/architecture.md

# Verbose trace output
uv run fleet-rlm chat --trace --trace-mode verbose

# Persist chat state to a specific Daytona volume
uv run fleet-rlm chat --volume-name my-volume

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fleet-rlm optimize

Run GEPA offline optimization for a registered DSPy module. 
Usage: fleet-rlm optimize [OPTIONS] MODULE [DATASET]

Arguments:
  MODULE    Registered module slug (use 'list' to see available modules).
  DATASET   Path to JSON or JSONL dataset.

Options:
  --output-path, -o PATH   Where to save the optimized DSPy module artifact.
  --train-ratio FLOAT      Training split ratio for GEPA compilation. [default: 0.8]
  --auto TEXT              Optimization intensity: light, medium, heavy. [default: light]
  --report                 Print a markdown summary after optimization.
Examples: 
# List registered optimization modules
uv run fleet-rlm optimize list

# Default light optimization
uv run fleet-rlm optimize my-module dataset.jsonl

# Heavy optimization with a custom output path
uv run fleet-rlm optimize my-module dataset.jsonl \
  --auto heavy \
  --output-path ./artifacts/optimized.pkl

# Generate a markdown report
uv run fleet-rlm optimize my-module dataset.jsonl --report
Optimized artifacts are saved for manual review and are not auto-loaded into the live runtime.

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fleet-rlm daytona-smoke

Run a native Daytona smoke validation without invoking an LM. Useful for verifying credentials and sandbox lifecycle in isolation. 
Usage: fleet-rlm daytona-smoke [OPTIONS]

Options:
  --repo TEXT   Repository URL to clone into the Daytona sandbox.  [required]
  --ref TEXT    Optional branch or commit SHA to checkout after clone.
Example: 
uv run fleet-rlm daytona-smoke \
  --repo https://github.com/Qredence/fleet-rlm.git \
  --ref main

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fleet

Lightweight launcher for terminal chat and Web UI startup. 
usage: fleet [-h] [--docs-path DOCS_PATH]
             [--trace-mode {compact,verbose,off}]
             [--volume-name VOLUME_NAME]
             [{web}]
Examples: 
# Terminal chat
uv run fleet

# Web UI (alias for `fleet-rlm serve-api` + SPA)
uv run fleet web

# Preload a document into terminal chat
uv run fleet --docs-path README.md

# Verbose terminal trace
uv run fleet --trace-mode verbose
Hydra overrides are supported as key=value tokens after the command.

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See also