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Fleet RLM

Recursive language-model backend with live streaming, durable sessions, and sandboxed execution.

Fleet RLM runs DSPy dspy.RLM behind a compact FastAPI + SSE API. Each turn executes in an isolated Daytona sandbox with workspace-scoped volumes, host-mediated tools, and a terminal client that streams reasoning, code, and output as it happens.

CircleCI PyPI Python License Docs DSPy FastAPI


Why Fleet RLM

  • RLM-native — One fresh dspy.RLM per turn with Python REPL execution, native sub-LM queries, and optional recursive child RLMs.
  • Operator-visible streaming — Reasoning, tool calls, interpreter code, and stdout flow over SSE to the maintained pi-tui terminal.
  • Durable by default — Sessions, turns, attachments, artifacts, and workspace memory survive across runs.
  • Sandboxed execution — Daytona interpreters run in isolated sandboxes with bounded workspace volumes and host-mediated memory tools.
  • Policy-driven runtime — Non-secret behavior lives in config/fleet.toml; secrets stay in FLEET_* environment variables.

Quick start

1. Install

git clone https://github.com/Qredence/fleet-rlm.git
cd fleet-rlm
uv sync --all-extras --dev
pnpm --dir tools/fleet-tui install --frozen-lockfile

You need Node 22.19+ and pnpm for the terminal client (fleet cli). uv sync does not install TUI dependencies; run the pnpm step above before fleet cli.

2. Configure credentials

Pick a runtime profile in config/fleet.toml (default_profile; shipped default is daytona-recursive), then export the provider and Daytona variables for that profile. See the profile matrix for the exact FLEET_* names.

export FLEET_DATABASE_URL='postgresql+asyncpg://...'
export FLEET_DAYTONA_API_KEY='...'
export FLEET_OPENCODE_GO_API_KEY='...'
export FLEET_OPENCODE_GO_BASE_URL='https://<gateway>/v1'

uv run python scripts/db_init.py

Startup never applies migrations automatically — initialize the database explicitly before serving.

3. Run

Supervised backend + terminal (recommended for local development):

uv run fleet cli

Backend only:

uv run fleet web
# or
uv run fleet-rlm serve-api --port 8000

Resume a durable session:

uv run fleet cli -- --session <session-uuid>

Before your first turn, verify Daytona connectivity:

uv run fleet doctor daytona

Profile mismatch fails fast. fleet cli requires a Daytona profile that matches your credentials. Select profiles with /profiles in the TUI or edit default_profile, then restart Fleet.

How a turn works

Client  →  POST /api/sessions/{id}/turns  →  SSE stream
                │
                ├─ validate scope, attachments, skills
                ├─ TurnCoordinator opens run + prepares context
                ├─ RLMRunner executes one native dspy.RLM in Daytona
                ├─ stream reasoning, tools, code, output events
                └─ RunLifecycle commits result, artifacts, and turn history

The root agent can answer directly, delegate to sub-LMs, or fan out bounded recursive child RLMs. Session history stays host-side; workspace memory (memory/MEMORIES.md) persists across sandbox replacement.

Commands

Command What it does
uv run fleet cli Start backend + pi-tui terminal (Daytona profile required)
uv run fleet web Start backend only on port 8000
uv run fleet doctor daytona Opt-in disposable probe of provider, DB, mounts, interpreter
uv run python scripts/db_init.py Initialize or upgrade database to Alembic head
make check Default validation lane (backend + TUI)

Backend logs for supervised runs: .fleet_rlm/logs/.

API surface

Endpoint Purpose
POST /api/sessions/{session_id}/turns Idempotent turn execution over SSE
/api/sessions Session CRUD and committed turn history
/api/attachments Durable attachment upload and lookup
/api/artifacts/{artifact_id} Committed artifact metadata and content
GET /api/volume/tree Bounded read-only workspace volume tree (Daytona)
/api/skills Bundled skill card discovery
PUT /api/runs/{run_id}/cancellation Durable run cancellation

Full contract: HTTP API reference and OpenAPI.

Project layout

Path Role
src/fleet_rlm/ Canonical Python backend
tools/fleet-tui/ Maintained pi-tui terminal client
config/fleet.toml Runtime policy (profiles, limits, tracing)
migrations/ Alembic schema
docs/ Architecture, guides, and reference

Development

make check                 # lint, typecheck, tests (default lane)
make api-sync              # regenerate OpenAPI + TUI types
make check-security        # security scans

Contributing workflow and architecture rules: CONTRIBUTING.md.

Key docs:

License

MIT — see LICENSE.

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