0e51fa2b0de1d0d0d88f6d133f6b8dd6509ab3c3
2 Commits
| Author | SHA1 | Message | Date | |
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 Devin Foley
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0e51fa2b0d |
Honor reuse-existing preference and assignee default environment in issue runs (#5139)
## Thinking Path > - Paperclip orchestrates AI agents for zero-human companies > - Agents run inside execution workspaces (a per-issue cwd + env), and an issue > can prefer to reuse an existing workspace or get a fresh one each time > - The heartbeat service was reading the existing workspace's config to derive > environment selection regardless of whether the issue actually wanted to reuse > it. So fresh-run issues were inheriting stale config from a workspace that was > about to be discarded > - Separately, when an issue is assigned to an agent, the issue's execution > workspace settings weren't picking up the agent's `defaultEnvironmentId`, > even though the agent's choice is the natural default for that issue > - This PR makes both selection paths honor the obvious source of truth: > workspace config flows only when the issue actually wants `reuse_existing`, > and the assignee agent's default environment is applied at assignment time if > nothing else is set on the issue > - The benefit is that re-running a flaky issue picks up the right environment > instead of inheriting the previous run's config, and assigning an agent to an > issue does the obvious thing without operator intervention ## What Changed - `server/src/services/heartbeat.ts`: introduce `reusableExecutionWorkspaceConfig` that is non-null only when `shouldReuseExisting` is true. Both `resolveExecutionWorkspaceEnvironmentId(...)` and `applyPersistedExecutionWorkspaceConfig(...)` now read from it instead of unconditionally consulting `existingExecutionWorkspace?.config`. Fresh-run issues no longer inherit stale environment config from an in-flight workspace about to be discarded. - `server/src/services/issues.ts`: when an issue update sets a new `assigneeAgentId` and isolated workspaces are enabled, populate `executionWorkspaceSettings.environmentId` from the assignee agent's `defaultEnvironmentId` if the issue doesn't have an explicit `environmentId` set yet. - Tests added in `heartbeat-plugin-environment.test.ts` (~216 lines) and `issues-service.test.ts` (~85 lines) covering both paths. ## Verification - `pnpm --filter @paperclipai/server test -- heartbeat-plugin-environment issues-service` - Manual QA: assign an issue to an agent that has a non-default `defaultEnvironmentId`, confirm the issue's workspace settings now include that environment id without operator intervention. Trigger a rerun on an issue whose existing workspace points at a stale environment, confirm the rerun uses the freshly-resolved environment. ## Risks - Behavioural shift on assignment: previously assigning an agent didn't propagate the agent's default environment to the issue. Now it does. Callers that explicitly want the issue to keep its existing/null environment must set `executionWorkspaceSettings.environmentId` themselves; the new logic only fires when no explicit value is set. - Behavioural shift on rerun: stale workspace config is no longer applied to fresh runs. Operators who relied on this implicit inheritance may see different environment selection on the first rerun after deploy. Mitigation: the explicit isssue settings and project policy are still honored as before. ## 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 (no UI changes) - [ ] 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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Devin Foley
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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 |