BottleProvisioner had no independent identity — no state, only one
caller, never selected, never crossed a method boundary as data. It
was a method dressed up as a class. Reverting that turn:
- BottleBackend gains an abstract provision(plan, target).
- DockerBottleBackend.provision absorbs the body that lived on
DockerBottleProvisioner.
- backend/docker/provisioner.py deleted.
- BottleProvisioner ABC removed from backend/__init__.py.
- launch now calls self.provision(plan, container) directly.
Net: -1 file, -1 class, -1 ABC. Same behavior; tests pass.
Lift the file-copying-into-the-running-container step out of
DockerBottleBackend._provision_container into its own class. The
backend now holds a DockerBottleProvisioner instance and delegates
the post-launch provisioning to it.
- BottleProvisioner (abstract) in backend/__init__.py with a
`provision(plan, target) -> str | None` method.
- DockerBottleProvisioner (concrete) in backend/docker/provisioner.py
inheriting from the base, narrowing plan to DockerBottlePlan via
isinstance, and carrying the prompt/skills/SSH/.git copy logic
unchanged.
- DockerBottleBackend keeps a class-level DockerBottleProvisioner()
and calls self._provisioner.provision(plan, container) from launch.
_provision_container method removed.
No behavior change.
Across the package:
- claude_bottle/platform/ -> claude_bottle/backend/
- platform/docker/platform.py -> backend/docker/backend.py
- class BottlePlatform -> BottleBackend
- class DockerBottlePlatform -> DockerBottleBackend
- get_bottle_platform() -> get_bottle_backend()
- env var CLAUDE_BOTTLE_PLATFORM -> CLAUDE_BOTTLE_BACKEND
- dict _PLATFORMS -> _BACKENDS
"Backend" is shorter and more established as the term for a
pluggable strategy-pattern implementation. "Platform" was vague
(could mean OS, hardware, cloud) and mildly redundant — Docker is
itself a platform.
The previous PRD section claiming "the Backend protocol was
rejected" referred to a low-level run/exec/cp/network_connect
protocol; the name was never the reason. The PRD is updated to
describe that rejected design by shape rather than by name.
The bottle/agent concepts and the manifest schema are unchanged.
'bottles' was the package name when it held a single Bottle Protocol;
since we added BottlePlatform / BottlePlan / BottleCleanupPlan and
made it the home of platform dispatch, 'platform' describes the
package better. The 'bottle' concept (and the manifest field) stays.
CLI imports update from ..bottles to ..platform; internal relative
imports inside the package survive the rename unchanged. Git
detected all 7 file renames.
Bottle was the only Protocol in an otherwise-ABC family
(BottlePlan, BottleCleanupPlan, BottlePlatform are all ABCs).
Convert to an ABC with abstract exec_claude / cp_in / close,
matching the rest of the hierarchy.
Rename _DockerBottle -> DockerBottle: the underscore was a
default-Python-private instinct that doesn't match the sibling
plan classes (DockerBottlePlan, DockerBottleCleanupPlan), all of
which are equally "only constructed by the platform" and yet
public-by-name.
Re-export DockerBottle from claude_bottle.bottles.docker.
The single docker/__init__.py grew to ~555 lines holding the platform,
its plan classes, the bottle handle, and the runsc probe. Split into:
- util.py : Docker subprocess primitives + runsc_available
- bottle_plan.py : DockerBottlePlan (+ its print method)
- bottle_cleanup_plan.py : DockerBottleCleanupPlan
- bottle.py : _DockerBottle handle class
- platform.py : DockerBottlePlatform (the bulk)
docker/__init__.py becomes a thin re-export shim so existing imports
(claude_bottle.bottles.docker.DockerBottlePlatform, etc.) keep working.
- claude_bottle/bottles/docker.py -> claude_bottle/bottles/docker/__init__.py
- claude_bottle/docker.py -> claude_bottle/bottles/docker/util.py
The host-side Docker primitives (require_docker, slugify, image_exists,
container_exists, build_image, build_image_with_cwd) lived at the top
of the package as if cross-cutting, but they are Docker-specific.
Moving them into bottles/docker/util.py colocates them with the
platform that uses them and clears the top-level namespace.
Imports in bottles/docker/__init__.py shift to `from . import util as
docker_mod` so the existing call sites (`docker_mod.require_docker()`,
etc.) keep working unchanged.
Add list_active() abstract method on BottlePlatform; DockerBottlePlatform
implements it with the existing docker ps logic. cli/list.py no longer
calls docker directly — it just dispatches the active branch to the
platform.
cmd_cleanup used to only sweep running containers via `docker ps`,
missing stopped pipelock sidecars and orphaned networks entirely. On
my host the new version surfaced ~10 stranded networks left behind by
SIGKILLed sessions — the kind of thing the old command implied it was
handling.
New shape, symmetric with start:
- BottleCleanupPlan (abstract, in bottles/__init__.py) with `print` +
`empty` abstract members.
- DockerBottleCleanupPlan (concrete, in bottles/docker.py) carrying
the resolved tuples of containers and networks.
- BottlePlatform gains abstract prepare_cleanup() + cleanup(plan).
DockerBottlePlatform implements both:
- prepare_cleanup: docker ps -a + docker network ls, both
filtered to ^claude-bottle-, sorted for stable output.
- cleanup: docker rm -f containers first (they hold the network
attachment), then docker network rm.
- cmd_cleanup is now ~25 lines: prepare → print → y/N → cleanup.
DockerBottlePlatform.launch already runs 'docker build' on every
start, and the layer cache makes no-change rebuilds nearly free.
Anything 'cli.py build' did, 'cli.py start' does for you.
They were the only remaining module-level helpers in docker.py besides
runsc_available(); promote them to private methods on DockerBottlePlatform
so all the Docker orchestration logic lives in one place.
The module-level prepare_docker_bottle and launch_docker_bottle were
trivial delegations from the platform class. Move their bodies onto
DockerBottlePlatform.prepare and .launch directly. The launch method
keeps the @contextmanager decorator; isinstance narrows BottlePlan
to DockerBottlePlan at the entry point.
Internal helpers (_run_agent_container, _provision_container,
runsc_available) stay at module scope — they're stateless and don't
benefit from self.
No behavior change. Tests pass; dry-run output unchanged.
Mirror the BottlePlan -> DockerBottlePlan hierarchy at the platform
layer. BottlePlatform is now an abstract base with abstract `prepare`
and `launch` methods; DockerBottlePlatform lives alongside the rest of
the Docker code in bottles/docker.py and supplies the concrete impls.
The registry in bottles/__init__.py now holds an instance of each
concrete platform class. Future per-platform state (region, api
token, cleanup primitives) has a natural home on the subclass rather
than being stitched onto a dataclass struct.
No behavior change. Tests pass; dry-run output unchanged.
- Add BottlePlan (frozen dataclass + ABC) with spec, stage_dir, and an
abstract `print(*, remote_control)` method.
- DockerBottlePlan now inherits from BottlePlan; spec/stage_dir come
from the base, Docker-specific fields stay on the subclass.
- Move BottleSpec from bottles/docker.py to bottles/__init__.py so the
cross-platform types live together. docker.py pulls them via
`from . import ...`.
- Move show_plan from cli/start.py to `DockerBottlePlan.print`. Caller
becomes `plan.print(remote_control=...)`. The CLI no longer reads
any Docker-specific fields.
- BottlePlatform.prepare is now typed `Callable[..., BottlePlan]`.
cmd_start drops ~46 more lines.
The spec is intent-only and platform-agnostic — only the plan carries
Docker-specific fields. Drop the 'Docker' prefix and re-export from
claude_bottle.bottles so callers see it as cross-platform.
The Docker factory had absorbed live container ops but left the
host-side prep (image-name resolution, container-name collision
retry, pipelock yaml generation, env_resolve writes, host
validation) in cli/start.py. That kept ~half the Docker-specific
logic outside the abstraction.
Split the factory into two phases:
prepare_docker_bottle(spec, stage_dir=...) -> DockerBottlePlan
Resolves names, validates skills/SSH, writes scratch files.
No Docker resources created yet.
launch_docker_bottle(plan) -> ContextManager[Bottle]
Builds image, creates networks, boots pipelock, runs the
agent container, provisions files. Teardown on exit.
DockerBottleSpec shrinks to intent-only inputs (manifest, agent
name, --cwd flag, user_cwd, forward_oauth_token). The CLI no longer
references docker_mod, pipelock, skills, ssh, or env_resolve.
get_bottle_factory becomes get_bottle_platform returning a
BottlePlatform with .prepare and .launch — one selectable thing per
platform.
The Bottle handle now remembers the in-container prompt path and
adds --append-system-prompt-file to claude's argv when present, so
the CLI no longer needs to know the path.
cmd_start: ~148 lines down from 229. Tests pass; dry-run output
byte-identical.
Introduce claude_bottle/bottles/ with a Bottle Protocol and a
get_bottle_factory() that dispatches on CLAUDE_BOTTLE_PLATFORM
(default "docker"). Move every Docker-specific subprocess.run call
from cli/start.py, plus the orchestration of build, networks, the
pipelock sidecar, container launch, and per-container provisioning
(prompt, skills, ssh, .git), into create_docker_bottle.
Drop bottles[].runtime from the manifest schema. Auto-detect whether
gVisor is registered with the daemon and pass --runtime=runsc when it
is; the preflight shows the resolved runtime so the choice is visible.
Manifests still carrying 'runtime' get a clear error pointing at the
auto-detect behavior, rather than silent ignore.
Out of scope: cli/cleanup.py and cli/list.py still call docker
directly. They enumerate active bottles across the host, which is a
separate concern from "create a bottle" and is left for a follow-up
that introduces a list_active/cleanup primitive on the factory.
The jq-style mapping (bool→"boolean", list→"array", None→"null", etc.)
existed only to match the original bash error wording. Not worth the
extra function; Python's native type names are clear enough.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- log.die() typed NoReturn so pyright knows it terminates control flow
(was returning the unreachable Die instance type).
- manifest.py: raw inputs typed object (not Any) and narrowed via a new
_as_json_object helper that validates str keys and returns
dict[str, object]. Eliminates the Unknown cascade through .get()
calls under strict.
- _from_dict classmethods renamed to from_dict so cross-class
construction (Bottle.from_dict from Manifest.from_json_obj, etc.)
doesn't trip reportPrivateUsage.
- _SUPPORTED_RUNTIMES typed tuple[Runtime, ...] so the membership
check narrows runtime_raw to Literal["runc", "runsc"] and the
# type: ignore[assignment] is no longer needed.
- Bottle.env uses a typed _empty_str_dict factory; bare dict resolves
to dict[Unknown, Unknown] under strict.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Replace the TypedDict + 14 manifest_* free functions with frozen
dataclasses (SshEntry, BottleEgress, Bottle, Agent, Manifest) carrying
their own validators and constructors. Call sites import Manifest and
chain attribute access; the manifest_* helpers and manifest_validate
are gone.
Behavior changes worth flagging:
- Agent.bottle is now required (was optional with a "(none)" fallback).
Manifest.from_json_obj dies if any agent lacks a 'bottle' field or
references an undefined bottle, where previously start.py raised the
error lazily for the specific agent being launched.
- ssh.py now takes SshEntry instances; Host/IdentityFile shape checks
moved upstream into Manifest construction, leaving only the IdentityFile
filesystem-existence check in ssh_validate_entries.
- pipelock_bottle_allowlist's per-element string check is dropped — the
Manifest validator enforces it at load.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Move schema checks out of per-access getters into a single
manifest_validate pass invoked by manifest_resolve. Getters can now
assume bottles/agents are well-typed dicts and every agent has a
defined bottle, so the .get(...) or {} chains collapse. Behavior
change: a bad runtime / shape error anywhere in the manifest now
fails at load instead of on the N-th read.
Intermediate step toward replacing TypedDict with a dataclass.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Bottles can now set "runtime": "runsc" to launch the agent container
under gVisor instead of runc, adding a userspace syscall barrier
between the agent and the host kernel. Default is runc (Docker
default). Pipelock stays on the default runtime per the research doc's
minimum-diff prescription.
The launcher verifies runsc is registered with the daemon before
launch, surfaces the runtime in the preflight plan, and dies with an
install pointer (and a macOS-not-supported note) when runsc is
requested but unavailable.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
cmd_build was ignoring its argv, so 'cli.py build --help' fell through
and started a docker build instead of printing the subcommand's
argparse help. Wire up an empty parser so --help and unknown args are
handled the same way the other subcommands handle them.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
One file per subcommand under claude_bottle/cli/, with shared constants
and the tty helper in _common.py and dispatch in __init__.py. The
public import (from claude_bottle.cli import main) is unchanged, so
the root cli.py entrypoint and the test suite see no surface change.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Replaces cli.sh + lib/*.sh with a claude_bottle/ Python package and a
cli.py entry point. No external dependencies — uses only Python's
stdlib (json, subprocess, getpass, tempfile, argparse, re, etc.).
- claude_bottle/{log,docker,manifest,env_resolve,network,pipelock,
skills,ssh,cli}.py mirror the previous lib/*.sh modules.
- Tests converted to unittest under tests/test_*.py with a stdlib
runner at tests/run_tests.py (unit | integration | path).
- .githooks/commit-msg ported to Python; same Conventional Commits rules.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>