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

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_staging-0.1.9.202602032005.tar.gz.

File metadata

  • Download URL: flywheel_bootstrap_staging-0.1.9.202602032005.tar.gz
  • Upload date:
  • Size: 44.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.29 {"installer":{"name":"uv","version":"0.9.29","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for flywheel_bootstrap_staging-0.1.9.202602032005.tar.gz
Algorithm Hash digest
SHA256 2bba23e52cd3bcc9e8713635873887df1a19e4569e84d9838ddae62be179f56b
MD5 23564dbd8f61e184f3b5356a1d4d7bd6
BLAKE2b-256 c9e73ed00a67e033742c2c9e193e998889ac5ac286250df1594a855925bc29da

See more details on using hashes here.

File details

Details for the file flywheel_bootstrap_staging-0.1.9.202602032005-py3-none-any.whl.

File metadata

  • Download URL: flywheel_bootstrap_staging-0.1.9.202602032005-py3-none-any.whl
  • Upload date:
  • Size: 28.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.29 {"installer":{"name":"uv","version":"0.9.29","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for flywheel_bootstrap_staging-0.1.9.202602032005-py3-none-any.whl
Algorithm Hash digest
SHA256 c34d2a5f7c5957ea809ae1efca4f03bf66a3a0ebe9b37fc63a57539373e70153
MD5 3e23cebb7592cef2dea183035d555b5e
BLAKE2b-256 ff8968f58d33afb9f1c0b2d6cf0ac6f66bbcac8b2acf3d09cd803398fbf36db1

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