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Commits
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640dee1802 |
fix(runner): acquire reusable leases when switching to warm sessions (#14187)
## Thinking Path > - Paperclip coordinates agent work across task turns. > - Warm runners need reusable sandbox leases. > - Lease acquisition read only the environment reuse setting. > - Startup then read the agent's new warm setting and rejected the ephemeral lease. > - This fix requests reuse before acquisition, with provider checks intact. ## Linked Issues or Issue Description **What happened?** Switching an existing native runner task from per-turn to warm fails with `runner_warm_environment_requires_reusable_lease`. Environment `reuseLease` defaults to false. Acquisition therefore creates an ephemeral lease, and capability narrowing correctly denies reuse. **Expected behavior** Changing lifecycle between turns requests a compatible lease without replacing the task workspace or changing the shared environment. **Steps to reproduce** 1. Start a native runner task with inherited lifecycle and environment reuse disabled. 2. Change the agent from per-turn to warm. 3. Continue the task on a reusable-capable sandbox provider. **Paperclip version or commit** Reproduced on `a6c4e7a`. Related: #12904 established warm workspace continuity; this fixes the earlier lease-selection mismatch. ## What Changed - Pass agent settings into acquisition and derive a run-scoped reuse request. - Respect explicit environment lifecycle overrides; leave other adapters unchanged. - Keep provider capability, ownership, cleanup and restore gates intact. - Add orchestration and database-backed transition tests; document the contract. ## Verification - Red: three new assertions failed before the fix. - Green: 156 tests pass in environment-run-orchestrator, environment-runtime, native-sandbox-lifecycle, and environment-execution-target-capabilities. - Database-backed regression proves ephemeral → reusable → resumed lease, same workspace, and unchanged stored environment. Provider RPCs are mocked, not live Daytona. - `git diff --check` passes. - Latest-head CI passes typecheck, build, tests, runner checks, E2E, and canary dry run. Greptile: 5/5; no open threads. - Recovery uses the persisted lifecycle. Direct regression: red before, six cases green after. CI runs the added Vitest cases. - Full local checks were unavailable (missing dependencies and earlier memory limits). ## Risks Warm mode now requests retained resources despite an environment's default `reuseLease:false`. Existing idle timeout and cleanup still apply. Unsupported providers remain denied. No migration, credential [REDACTED], or shared-environment mutation. ## Model Used OpenAI Codex agent; reasoning, code editing and test execution. Exact model ID and context size were not exposed to this run. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details available) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links - [x] My branch name describes the change and contains no internal Paperclip ticket [REDACTED] or instance-derived details - [x] I have run targeted tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing> |
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827ba8a434 |
fix: cancel stalled sandbox startup without waiting for setup (#13352)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Sandbox runs prepare credentials and files before an agent starts. > - Stop must work during that preparation. > - ACPX registered cancellation, but did not handle it while a setup command was waiting. > - Daytona cleanup waited for that same command before stopping the sandbox. > - This change stops the run's sandbox first and requires proof before abandoning setup. ## Linked Issues or Issue Description **What happened?** Stop left a sandbox run active when remote credential setup stalled. The run kept its connection lease until the sandbox was stopped separately. **Expected behavior** Stop terminates the selected run's sandbox, prevents later setup from launching the agent, and lets run cleanup finish. It must not report success without proof from the provider. **Steps to reproduce** 1. Start an ACPX agent in Daytona. 2. Hold a command during remote credential or file setup. 3. Select Stop before the agent starts. 4. Before this fix, cleanup waits for the held command and never reaches sandbox stop. Related: #13351 exposed this during connection acceptance testing. #12150 addresses scheduler load and session initialization limits, a separate startup problem. ## What Changed - Handle cancellation during ACPX sandbox preparation with a host-owned stop callback. - Pass an explicit active-work cancellation flag through environment cleanup. - Stop Daytona before draining setup commands. Keep normal graceful cleanup. - Require an exact run and lease termination receipt. Keep ownership of outstanding requests when stop cannot be verified. - Reject late setup work and defer sandbox resume until old requests settle. - Add regression tests and document the cancellation boundary. ## Verification - Red: both the stalled ACPX setup test and the Daytona cancellation test failed before the fix because Stop never reached the provider. - Green: adapter and Daytona suites passed, along with cancellation boundary and database-backed receipt/isolation tests. - Two real Daytona probes ran a five-minute setup command. Cancellation returned matching stopped receipts in 6.01 and 6.533 seconds. No later setup command ran. Both test sandboxes were deleted. - Repository typecheck and build passed locally. The full required CI suite passed, including all server/workspace tests, browser shards, Paperclip Runner verification, and canary packaging. The duplicate local full-suite run was interrupted after CI passed; it is not claimed as a completed local pass. - No UI changes. The live probe uses the actual adapter cancellation boundary and Daytona plugin; it is not a browser acceptance test. ## Risks - Provider stop failures remain unacknowledged. The adapter keeps ownership while its original requests remain active. - A retry can receive a settling-work error until old provider requests finish. - Cancelled sandboxes are stopped and retained under their existing provider expiry policy. - Local execution and cancellation after the agent turn starts keep their current behavior. - Other providers must return an exact termination receipt to permit early setup cancellation. No database migration. ## Model Used OpenAI GPT-6 through Codex, with code execution and tool use. The exact deployment identifier and context window are not exposed in this session. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge Co-authored-by: Paperclip <noreply@paperclip.ing> |
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0e9b03832d |
fix(server): skip host provisionCommand for sandbox-driver environments (#11626)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work > - The run orchestrator prepares an execution environment before an agent starts > - A sandbox driver creates a remote folder before the adapter uploads repository content > - The orchestrator ran the host `provisionCommand` in that empty folder > - The command failed with exit 127 before the adapter could run its `stage.sync` step > - This pull request skips host provisioning for sandbox drivers and keeps the existing local and SSH behavior > - The benefit is that sandbox runs reach the adapter sync step without an empty-folder setup failure ## Linked Issues or Issue Description **What happened?** A sandbox environment ran the host `provisionCommand` before the adapter uploaded repository content. The command ran in an empty remote folder and failed with exit 127. **Expected behavior** The orchestrator should skip host provisioning for a sandbox driver. The adapter should upload the provisioned tree during its `stage.sync` step. **Steps to reproduce** 1. Configure an environment with the `sandbox` driver and a host `provisionCommand`. 2. Start a run that uses this environment. 3. Observe that the command runs in the empty sandbox folder and the run fails with `setup_failed`. **Paperclip version or commit** Reproduced on the current `master` commit before this change. **Deployment mode** Built from source with a sandbox environment. **Installation method** Built from source with pnpm. **Agent adapter(s) involved** Not adapter-specific (core bug). The sandbox adapter syncs the tree after environment setup. **Database mode** Not database-related. **Additional context** Related context: [#11091](https://github.com/paperclipai/paperclip/pull/11091) changes provision behavior for reused workspaces. This pull request covers the separate sandbox ordering failure. ## What Changed - Skip the orchestrator provision step when `environment.driver` is `sandbox`. - Keep the existing skip for `local` and the provision step for `ssh`. - Log one info message when a sandbox skip drops a present command. - Keep the existing `plugin` path because it has no `stage.sync` step and runs against the host filesystem. - Add tests for sandbox, local, SSH, plugin, logging, and provision failures. ## Verification - Run `./node_modules/.bin/vitest run server/src/__tests__/environment-run-orchestrator.test.ts`. - Confirm that the test run passes all 10 tests. - Confirm that CI checks pass on this pull request. ## Risks - Low risk. The change affects only the provision gate for sandbox drivers. - SSH and local behavior stays unchanged. - The plugin driver stays on its current path. - The new log line makes a sandbox skip visible to operators. ## Model Used OpenAI, GPT-5, exact runtime model `gpt-5`, with tool use and code review support. The implementation author used this model to inspect code, edit source and tests, and run the targeted test suite. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above (no exact duplicate found; related PR #11091 reviewed) - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes: #` / `Refs: #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes (no documentation change applies to this internal gate correction) - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing> |
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4e00818574 |
fix(runtime): support in-place workspace realization (#10230)
## Thinking Path > - Paperclip is the control plane people use to coordinate AI agents and their execution environments. > - Environment realization decides where an agent runs and which filesystem and toolchain are authoritative. > - Copy-based realization is unsafe for container-anchored tasks because absolute paths such as `/app` can point outside the synchronized tree and task-specific binaries may be absent. > - That mismatch can let an agent successfully verify work in a phantom writable path while sync-back silently discards the result. > - Existing task environments already provide the authoritative filesystem and toolchain, so they should be executed in place rather than copied. > - Copy mode still needs explicit confinement rules so aliases target the synchronized workspace and unsynchronized writable paths fail visibly. > - This pull request adds typed realization metadata, propagates the authoritative root through orchestration, and teaches Codex to honor it. > - The benefit is that container-anchored tasks operate on verifier-visible state with the intended tools, while copy mode remains safe and backward compatible. ## Linked Issues or Issue Description No public GitHub issue exists for this defect. GitHub duplicate searches for in-place execution, workspace realization, and authoritative workspace roots found no related pull request to link. ### What happened? Environment-backed agent runs were always realized through a copied workspace. Tasks anchored to absolute container paths could therefore write outside the synchronized tree, and task-provided toolchains were unavailable in the copy. A run could report success even though sync-back discarded its output. ### Expected behavior Existing task environments should run against their real authoritative root and toolchain. Copy-mode runs should map declared absolute aliases into the synchronized tree and reject writable paths that cannot be restored. ### Steps to reproduce 1. Run a Codex task environment whose required files live under `/app` or `/workspace` and whose required binary exists only in the task container. 2. Observe that copy realization changes the effective filesystem/toolchain or permits writes outside the synchronized root. 3. Complete and verify the task inside the agent sandbox. 4. Observe that the verifier cannot see out-of-tree artifacts or that task-specific commands were unavailable. ### Reproduction context - Paperclip commit: `3a16b91217483d2c233926de5b7f7bc3a1077924` - Deployment: built from source in a task-container execution environment - Adapter: Codex local - Database: not database-related - Access context: agent execution ## What Changed - Added typed `copy | in_place` workspace-realization metadata, authoritative roots, confined aliases, and outbound restore paths to shared execution-target contracts. - Selected in-place realization for existing task environments and skipped archive prepare/restore when the authoritative environment is used directly. - Propagated the authoritative root into adapter context so Codex uses it for cwd and `PAPERCLIP_WORKSPACE_*` semantics, including ACP execution. - Bound copy-mode aliases such as `/app` to the synchronized workspace and rejected writable out-of-tree paths without explicit restore mappings. - Added focused regression coverage while preserving existing copy-mode archive restore behavior. ## Verification - `pnpm --filter @paperclipai/shared typecheck` — passed. - `pnpm exec vitest run packages/adapter-utils/src/local-process-sandbox.test.ts packages/adapters/codex-local/src/server/acp.test.ts packages/adapters/codex-local/src/server/execute.remote.test.ts server/src/__tests__/environment-run-orchestrator.test.ts` — 48 passed, 4 skipped. - `pnpm -r typecheck` — passed. - `env -u AWS_ACCESS_KEY_ID -u AWS_SECRET_ACCESS_KEY -u AWS_SESSION_TOKEN pnpm test:run` — passed across all general and serialized Vitest shards. - `pnpm build` — passed. - Codex `k=1` acceptance run completed July 24, 2026 at 23:54:30 UTC with 4 completed, 0 exceptions, and mean reward 1.0: `build-cython-ext`, `openssl-selfsigned-cert`, `prove-plus-comm`, and `sqlite-db-truncate` each received terminal grade 1.0 against real task-environment paths and toolchains. ## Risks - In-place mode deliberately exposes the authoritative task root to the adapter; incorrect environment metadata could point execution at the wrong root. Typed metadata and focused orchestration tests cover selection and propagation. - Copy-mode writable-path validation is stricter and may reject previously accepted unsafe configurations. The rejection is intentional and produces a visible error instead of silently losing output. - The acceptance run is focused on four Codex task-environment workloads, not a broad cross-adapter benchmark. Existing copy-mode archive tests and the full repository suite remain green. > For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and discuss it in `#dev` before opening the PR. Feature PRs that overlap with planned core work may need to be redirected — check the roadmap first. See `CONTRIBUTING.md`. ## Model Used - OpenAI Codex CLI coding agent; exact model ID and context-window size were not exposed to this runtime. Capabilities used: extended reasoning, repository editing, shell execution, test/build execution, Git, GitHub CLI, and Paperclip API tool use. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing> |
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90631b09b3 |
Let adapters declare runtime command spec for remote provisioning (#5141)
## Thinking Path
> - Paperclip orchestrates AI agents for zero-human companies, running
adapter
> commands like `claude`, `codex`, `pi` either locally or on remote
runtimes
> (SSH hosts, sandboxes, etc.)
> - On a fresh remote runtime — particularly an ephemeral sandbox — the
> adapter's CLI may not be installed yet. Today operators handle this
via
> external configuration (e.g. a project-level `provisionCommand` shell
> script) that has to know about every adapter the operator might want
to use
> - This means every adapter has its own well-known npm package, but
operators
> end up writing duplicate provision shell scripts that paste together
> `npm install -g @anthropic-ai/claude-code`, `npm install -g
@openai/codex`,
> etc. — knowledge the adapter itself already has
> - This PR moves that knowledge into the adapter modules: each adapter
declares
> how its runtime command should be detected and (if applicable)
installed
> via `getRuntimeCommandSpec(config)`. The execution path runs the
adapter's
> own install command on remote sandbox targets before launching, so a
fresh
> sandbox bootstraps itself instead of requiring a hand-written
provision script
> - The benefit is fewer footguns for operators provisioning remote
runtimes,
> and a clean place for new adapters to plug in their install recipe
## What Changed
- New types in `packages/adapter-utils/src/types.ts`:
- `AdapterRuntimeCommandSpec` describing `command`, optional
`detectCommand`, and optional `installCommand`
- Optional `getRuntimeCommandSpec(config)` on `ServerAdapterModule`
- Optional `runtimeCommandSpec` on `AdapterExecutionContext` so adapters
receive the resolved spec at execute time
- New helper `ensureAdapterExecutionTargetRuntimeCommandInstalled(...)`
in
`packages/adapter-utils/src/execution-target.ts` that runs the install
command
on remote targets when `transport === "sandbox"`. SSH and local targets
are
no-ops. Throws on timeout or non-zero exit so failures surface early.
- Each of `claude-local`, `codex-local`, `cursor-local`, `gemini-local`,
`opencode-local`, `pi-local`'s `execute.ts` now reads
`ctx.runtimeCommandSpec?.installCommand` and calls the helper before
launching
the adapter command.
- `server/src/adapters/registry.ts` declares `getRuntimeCommandSpec` for
each
adapter:
- claude/codex/gemini/opencode/pi-local: `npm install -g <package>`
recipe via
a shared `buildNpmRuntimeCommandSpec` helper, with a defensive guard
that
only auto-installs when the configured `command` matches the well-known
fallback (custom binaries are left alone).
- cursor-local: declares `command` only; no auto-install (no public npm
package), preserving the existing manual setup.
- `server/src/services/heartbeat.ts` resolves the spec via
`adapter.getRuntimeCommandSpec?.(runtimeConfig)` and passes it through
to
`AdapterExecutionContext`.
- Tests added in `execution-target.test.ts` (~75 lines), e2b
`plugin.test.ts` (~32 lines), and `environment-run-orchestrator.test.ts`
(~76 lines).
## Verification
- `pnpm --filter @paperclipai/adapter-utils test`
- `pnpm --filter @paperclipai/server test --
environment-run-orchestrator`
- `pnpm --filter @paperclipai/sandbox-providers-e2b test`
- Manual QA: run an adapter (claude/codex/etc.) against a fresh
sandbox-backed
environment that does NOT have the adapter CLI pre-installed. Confirm
the
install runs once at the start of the agent run and the adapter then
launches
successfully. Re-run on the same sandbox; confirm the install command is
idempotent and the second run starts faster.
- Confirm SSH and local execution paths are unaffected (gated by
`transport === "sandbox"`).
## Risks
- Behavioural shift on sandbox runs: a new install step now runs at the
start
of every sandbox agent run for adapters with `installCommand` set. The
install commands are idempotent (`if ! command -v X >/dev/null 2>&1;
then
npm install -g <pkg>; fi`), so this is fast on warm sandboxes. On a cold
sandbox, the first run takes longer.
- Operators who used the legacy project-level `provisionCommand` to
install
adapter CLIs can drop that part of their script; the adapter handles it
now.
Existing scripts continue to work — installs are idempotent.
- The cursor-local adapter has no auto-install (no public npm package).
Behaviour for cursor-local on sandboxes is unchanged.
- New optional surface on `ServerAdapterModule`. Plugins that don't
implement
`getRuntimeCommandSpec` retain previous behaviour (no auto-install).
## Model Used
- OpenAI GPT-5.4 (reasoning effort: high) via Codex CLI
- Provider: OpenAI
- Used to author the code changes in this PR
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots — N/A
- [ ] I have updated relevant documentation to reflect my changes — N/A
- [x] I have considered and documented any risks above
- [x] I will address all Greptile and reviewer comments before
requesting merge
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a4ac6ff133 |
Add sandbox callback bridge for remote environment API access (#4801)
## Thinking Path > - Paperclip orchestrates AI agents for zero-human companies > - Agents can run inside sandboxed environments like E2B, which are isolated from the host network > - Sandboxed agents need to call back to the Paperclip API to report progress, post comments, and update issue status > - But sandbox environments cannot reach the Paperclip server directly because they run in isolated network namespaces > - This PR adds a callback bridge that proxies API requests from the sandbox to the Paperclip server, running as a local HTTP server on the host that forwards authenticated requests > - The bridge is started automatically when an adapter launches a sandbox execution, and torn down when the run completes > - The benefit is sandboxed agents can interact with the Paperclip API without requiring network-level access to the host, enabling E2B and similar providers to work end-to-end ## What Changed - Added `sandbox-callback-bridge.ts` in `packages/adapter-utils/` — a lightweight HTTP bridge server that accepts requests from sandbox environments and proxies them to the Paperclip API with authentication - Added request validation and security policy: the bridge only forwards requests to the configured API URL, validates content types, enforces size limits, and rejects non-API paths - Wired the bridge into all remote adapter execute paths (claude, codex, cursor, gemini, pi) — the bridge starts before the agent process and the bridge URL is passed via environment variables - Updated `environment-execution-target.ts` to prefer the explicit API URL from environment lease metadata for sandbox callback routing - Fixed Claude sandbox runtime setup to work with the bridge configuration - Added comprehensive test coverage for bridge request handling, policy enforcement, and sandbox execution integration - Fixed browser bundling — the bridge module is excluded from the frontend bundle via the adapter-utils index export ## Verification - `pnpm test` — all existing and new tests pass, including bridge unit tests and sandbox execution integration tests - `pnpm typecheck` — clean - Manual: configure an E2B environment, run an agent task, verify the agent can post comments and update issue status through the bridge ## Risks - Medium. This is a new network-facing component (HTTP server on localhost). The security policy restricts forwarding to the configured API URL only and validates all requests, but any proxy introduces attack surface. The bridge binds to localhost only and is scoped to the lifetime of a single agent run. ## Model Used Codex GPT 5.4 high via Paperclip. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [ ] If this change affects the UI, I have included before/after screenshots - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] I will address all Greptile and reviewer comments before requesting merge |
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70679a3321 |
Add sandbox environment support (#4415)
## Thinking Path > - Paperclip orchestrates AI agents for zero-human companies. > - The environment/runtime layer decides where agent work executes and how the control plane reaches those runtimes. > - Today Paperclip can run locally and over SSH, but sandboxed execution needs a first-class environment model instead of one-off adapter behavior. > - We also want sandbox providers to be pluggable so the core does not hardcode every provider implementation. > - This branch adds the Sandbox environment path, the provider contract, and a deterministic fake provider plugin. > - That required synchronized changes across shared contracts, plugin SDK surfaces, server runtime orchestration, and the UI environment/workspace flows. > - The result is that sandbox execution becomes a core control-plane capability while keeping provider implementations extensible and testable. ## What Changed - Added sandbox runtime support to the environment execution path, including runtime URL discovery, sandbox execution targeting, orchestration, and heartbeat integration. - Added plugin-provider support for sandbox environments so providers can be supplied via plugins instead of hardcoded server logic. - Added the fake sandbox provider plugin with deterministic behavior suitable for local and automated testing. - Updated shared types, validators, plugin protocol definitions, and SDK helpers to carry sandbox provider and workspace-runtime contracts across package boundaries. - Updated server routes and services so companies can create sandbox environments, select them for work, and execute work through the sandbox runtime path. - Updated the UI environment and workspace surfaces to expose sandbox environment configuration and selection. - Added test coverage for sandbox runtime behavior, provider seams, environment route guards, orchestration, and the fake provider plugin. ## Verification - Ran locally before the final fixture-only scrub: - `pnpm -r typecheck` - `pnpm test:run` - `pnpm build` - Ran locally after the final scrub amend: - `pnpm vitest run server/src/__tests__/runtime-api.test.ts` - Reviewer spot checks: - create a sandbox environment backed by the fake provider plugin - run work through that environment - confirm sandbox provider execution does not inherit host secrets implicitly ## Risks - This touches shared contracts, plugin SDK plumbing, server runtime orchestration, and UI environment/workspace flows, so regressions would likely show up as cross-layer mismatches rather than isolated type errors. - Runtime URL discovery and sandbox callback selection are sensitive to host/bind configuration; if that logic is wrong, sandbox-backed callbacks may fail even when execution succeeds. - The fake provider plugin is intentionally deterministic and test-oriented; future providers may expose capability gaps that this branch does not yet cover. ## Model Used - OpenAI Codex coding agent on a GPT-5-class backend in the Paperclip/Codex harness. Exact backend model ID is not exposed in-session. Tool-assisted workflow with shell execution, file editing, git history inspection, and local test execution. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [ ] If this change affects the UI, I have included before/after screenshots - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] I will address all Greptile and reviewer comments before requesting merge |