Skip to main content

Bootstrap runner for Flywheel provisioned GPU instances

Project description

Bootstrap

This package hosts the BYOC bootstrapper that:

  • Ensures Codex is available (prefers release tarball; skips install if already on PATH).
  • Fetches the bootstrap payload for a run from the Flywheel backend.
  • Launches codex exec with the provided prompt/config and streams logs.
  • Collects artifacts (manifest-on-exit) and reports completion or error back to the backend.

Configuration

Bootstrap reads the user's Codex config.toml and requires one of:

[flywheel]
# inline instructions (host-specific tips, paths, sandbox notes)
workspace_instructions = """
Use /mnt/work as your workspace. Write artifacts under ./artifacts.
"""

# or: reference a file (relative paths are resolved against the config file directory)
workspace_instructions_file = "workspace_notes.md"

Rules:

  • At least one of workspace_instructions or workspace_instructions_file is required; otherwise bootstrap exits before contacting the server.
  • If both are set, the file wins and the inline value is ignored (warns once).
  • File contents must be non-empty; the path is resolved relative to the config file if not absolute.

Prompt assembly written to flywheel_prompt.txt:

  1. Flywheel engineer context (logging/artifact expectations).
  2. Task Description (prompt fetched from the server).
  3. Workspace Instructions (resolved from config as above).

Example config: project/bootstrap/examples/config.example.toml can be used as a starting point; update the paths and instructions for your machine.

End-to-end flow (bootstrap.sh → Python bootstrapper)

  1. User runs bash ./bootstrap.sh --run-id <id> --token <token> --config /path/to/config.toml [--server <url>] on their BYOC machine.
  2. The shim:
    • Ensures uvx is available (installs via https://astral.sh/uv/install.sh if missing, then rechecks PATH with ~/.cargo/bin).
    • Points PKG_PATH to the local repo copy project/bootstrap.
    • Executes uvx --no-cache --from "$PKG_PATH" flywheel-bootstrap "$@" so the latest local package runs.
  3. Python entrypoint (python -m bootstrap):
    • Parses args/env: requires run id + token, required --config, optional --server (default http://localhost:8000).
    • Loads Codex config.toml, enforces presence of workspace instructions (inline or file), extracts workspace/sandbox settings.
  4. Workspace resolution:
    • Uses cd/workspace_dir from config if set; otherwise ~/.flywheel/runs/<run_id>.
    • Creates the workspace and validates the artifact manifest path is inside sandbox writable_roots when sandboxing is enabled; else exits with an error.
  5. Codex availability:
    • If BOOTSTRAP_MOCK_CODEX is set, skips install and runs a mock flow.
    • Else, if codex is already on PATH, reuse it; otherwise download the Codex release tarball to the workspace/run root and mark it executable.
  6. Fetch bootstrap payload:
    • GET <server>/runs/<run_id>/bootstrap with X-Run-Token; payload contains the task prompt.
  7. Build prompt file:
    • Combine base Flywheel engineer context, “Task Description” (server prompt), and “Workspace Instructions” (user config) into flywheel_prompt.txt in the workspace.
  8. Launch Codex:
    • Run codex exec --json --cd <workspace> --skip-git-repo-check flywheel_prompt.txt with env FLYWHEEL_RUN_ID/TOKEN/SERVER.
    • Start a heartbeat thread posting /runs/{id}/heartbeat every 30s.
    • Stream Codex stdout lines as logs to /runs/{id}/logs; capture Codex run_id if emitted.
  9. After Codex exits:
    • Read flywheel_artifacts.json; if empty and Codex run_id is known, attempt one codex resume <id> then re-read.
    • POST artifacts to /runs/{id}/artifacts; POST /complete on exit 0, else /error with the exit code.
    • Stop/join the heartbeat thread.
  10. Mock mode (BOOTSTRAP_MOCK_CODEX=1):
    • Sends a heartbeat, a few logs, writes a mock artifact manifest, returns 0 (used in e2e tests).

Next steps

  • Publish bootstrap package and switch uvx --from to a release URL.
  • Iterate on prompts / general polish

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

flywheel_bootstrap-0.0.0.dev202601261516.tar.gz (39.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file flywheel_bootstrap-0.0.0.dev202601261516.tar.gz.

File metadata

File hashes

Hashes for flywheel_bootstrap-0.0.0.dev202601261516.tar.gz
Algorithm Hash digest
SHA256 b305614772c8f897a4a785ebf52efc5e4c8941edd3c259a28278e497da066b5e
MD5 2ae6a48ca0a6dd4992b52350f8917c23
BLAKE2b-256 0b746d5e01c3a8b6ccbd57009f627dfbe24f490e00946c983f57d059fb906242

See more details on using hashes here.

File details

Details for the file flywheel_bootstrap-0.0.0.dev202601261516-py3-none-any.whl.

File metadata

File hashes

Hashes for flywheel_bootstrap-0.0.0.dev202601261516-py3-none-any.whl
Algorithm Hash digest
SHA256 cd7032f33edf74ffd196e3446993143b987dcd9cdbde515e6906584d066a43d8
MD5 091f27f2b33d653be05d5344a3f7d1eb
BLAKE2b-256 c7c0e1f9b7ddd6b4daf4ca2386aa1e055f65684c116cf05a0f220a3807aa2112

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page