mirror of
https://github.com/paperclipai/paperclip.git
synced 2026-10-23 00:53:38 +02:00
0a0ccbaac1e4f31dee0246519115da9fb23f26b6
6
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
|
|
4b6de5327e |
Remove cheap model profiles (#12683)
## Thinking Path > - Paperclip manages agents that use different model providers and adapters. > - Paperclip must keep agent execution rules clear and predictable. > - The cheap-model profile added a second execution mode across adapters, task recovery, APIs, and the UI. > - That mode increased configuration and recovery complexity. > - This pull request removes the cheap-model profile as a product feature. > - The benefit is one model-selection path for normal work and recovery work. ## Linked Issues or Issue Description **What existing behavior does this improve?** This change simplifies model selection across agent configuration, task execution, recovery, and adapter capabilities. **Current behavior** Paperclip exposes cheap-model profiles in adapter metadata, agent runtime configuration, task overrides, recovery rules, APIs, and the board UI. Recovery work can select a different model profile from the agent's configured model. **Proposed behavior** Paperclip uses the agent's configured model for normal work and recovery work. Status-only recovery stays limited to coordination work. The API rejects legacy model-profile configuration. A migration removes stored model-profile values from existing agent, issue, and historical revision records. **Reason and benefit** One model path reduces configuration, API, UI, and recovery complexity. It also prevents status recovery from becoming a separate product-level model-routing feature. **Breaking changes** This change removes model-profile fields and adapter capability metadata. Existing stored model-profile values are removed by an idempotent migration. The validators reject new legacy profile values with clear errors. ## What Changed - Removed model-profile types, adapter capabilities, API fields, and model selection logic. - Removed cheap-model controls from agent and task UI surfaces. - Kept status-only recovery limited to coordination context while normal continuations use the configured agent model. - Added an idempotent migration that removes stored model-profile values from agents, issues, and configuration revisions without changing issue update timestamps. - Updated tests and product documentation for the single-model behavior. ## Verification - `pnpm check:token-gates` passes. - `pnpm -r typecheck` passes. - `pnpm build` passes. - `pnpm test:run` completed with 5,607 passing tests and 8 environment-sensitive failures in unrelated fixed-port and database-deadlock suites. The same failures repeated in an isolated rerun. CI is the final clean-room result. ## Risks - This is an intentional breaking change for clients that send model-profile fields. - The migration changes legacy agent, issue, and configuration-revision JSON. It is idempotent and preserves unrelated fields and issue update timestamps. - The change is cross-cutting because the removed feature existed in adapters, shared contracts, the server, plugins, and the UI. > 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 with `gpt-5`. Reasoning and tool use were enabled. The runtime did not expose the context-window size. ## 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) - [ ] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [ ] 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> |
||
|
|
4d82f5eaea | copy: unify user-facing "company" wording to "organization" (#12243) | ||
|
|
5da382fd59 |
feat(skills): require explicit merge modes (#10978)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work > - Agents can select company skills and synchronize them to adapter runtimes > - The skill sync API replaced the complete selection without an explicit destructive choice > - Company package import also replaced conflicting skills by default > - These defaults could remove operator edits during setup and import reruns > - This pull request adds explicit assignment merge modes and safe package conflict handling > - The benefit is that reruns preserve operator work unless the caller explicitly requests replacement ## Linked Issues or Issue Description **What existing behavior does this improve?** This change improves agent skill synchronization and company package import. **Subsystem affected** This is a cross-cutting change across the shared contracts, server, CLI, and UI. **Current behavior** Agent skill synchronization replaces the full desired skill set from a modeless request. Package import replaces a conflicting skill when the caller does not select a conflict mode. **Proposed behavior** Agent skill synchronization requires `add`, `remove`, or `replace`. Package import skips conflicts by default. Each imported skill reports whether it was created, renamed, replaced, or skipped. **Reason and benefit** Setup and import reruns must preserve operator edits by default. Explicit destructive modes make data loss less likely and make each outcome inspectable. **Breaking changes** Callers of the agent skill sync API must now send `mode`. Callers that need the former behavior must send `replace`. Package import now uses `skip` when `onConflict` is absent. ## What Changed - Added required `add`, `remove`, and `replace` modes to the shared agent skill sync contract. - Added actionable `422` validation for missing or invalid modes. - Updated first-party UI and CLI callers with explicit modes. - Changed package skill conflict handling to use `skip` by default. - Kept plugin-owned and built-in stock skill imports on explicit `replace`. - Added created, renamed, replaced, and skipped results to company imports. - Added regression coverage for merge modes and package conflict outcomes. ## Verification - `pnpm check:token-gates` - `pnpm -r typecheck` - `pnpm build` - `pnpm test:run:serialized` (128 suites passed) - `pnpm --filter @paperclipai/skills-catalog test` (20 tests passed) - Focused agent skill route, company skill service, portability, CLI, and UI tests passed. - GitHub CI passed build, typecheck, canary, all general and serialized test shards, all browser shards, policy, security, and final verification on commit `2cfbb3e4c5`. - Greptile reviewed the latest commit at 5/5 with zero unresolved threads. ## Risks - This change intentionally rejects modeless agent skill sync requests. - The safe package default can leave an existing skill unchanged where the old default overwrote it. - All first-party callers now select a mode. Regression tests cover each outcome. > 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 `gpt-5.6-sol` through Codex. The runtime used agentic reasoning, tool use, code execution, and repository editing. The runtime did not expose the context window size. ## 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> |
||
|
|
c3bd0c5d50 |
feat(skills): add beta releases for the core Paperclip skill (#10228)
## Thinking Path > - Paperclip is the open source control plane people use to organize and operate AI-agent companies. > - Agent behavior depends partly on the bundled Paperclip core skill synchronized into each runtime. > - The existing database and runtime plumbing already supports immutable skill-version snapshots and per-agent version selections, but no product workflow exposed that capability. > - Replacing the live bundled skill globally would make champion adoption risky and difficult to compare across agents. > - This pull request adds an experimental, instance-level beta-skills gate plus a repository release registry, immutable seeded releases, enforcement, and a per-agent release picker. > - The benefit is controlled per-agent evaluation of frozen core-skill releases while the default-off path remains behaviorally unchanged. ## Linked Issues or Issue Description ### Subsystem affected Cross-cutting: `server/`, `ui/`, `packages/db`, and `packages/shared`. ### Problem or motivation Paperclip needs a safe way to evaluate improved versions of its core operating skill without globally replacing the live default. Today the version-snapshot and per-agent pin plumbing exists, but operators cannot use it. A global replacement would make regressions difficult to contain and would prevent controlled comparisons across agents. ### Proposed solution Add a default-off instance experiment that exposes immutable, named core-skill releases. When enabled, operators can pin each agent to a seeded release; when disabled, every agent resolves the live default while saved pins remain intact. Validate pinned writes at the API boundary, gate reads at runtime, and expose the selection in the agent Skills tab. ### Alternatives considered - **Replace the bundled core skill globally:** rejected because it changes every agent at once and provides no rollback/isolation boundary. - **Ship releases as separate skills:** rejected because releases are versions of one core capability, not independently enabled skills. - **Store release snapshots only outside the repository:** rejected because repository provenance and hashes make builds reproducible and reviewable. ### Roadmap alignment This extends the Skills Manager / Skill Studio direction in `ROADMAP.md` by making core-skill versions operable per agent. It does not duplicate another open implementation PR; GitHub searches found no related `enableBetaSkills` change. ### Additional context The feature remains experimental and default off. The V7 champion was selected through a multi-model evaluation process, and the frozen release contents are verified by SHA-256 below. ## What Changed - Added the default-off instance-level `enableBetaSkills` experimental flag. - Added `skills-releases/paperclip/` with the ordered release registry and frozen `v0` plus `v7-roster` snapshots. - Added release metadata to `company_skill_versions` and idempotent release seeding. The migration was planned as `0191`, then renumbered to `0192` because current `master` claimed `0191` before final rebase. - Added read-time gating and write-time validation so disabled instances always resolve the live default and reject pinned-version writes. - Added the per-agent Release picker in the agent Skills tab, including responsive layout and beta-pin state. - Kept `EDITS.md` out of the release registry and PR diff. ### V7 Adoption Evidence - Paid roster: 6 models, 94-case suite. - Result: 553/564 pass-within-2, mean 92.17/94, versus the P2 baseline of 544/564. - Reference model improved 84→91; maximin improved 84→90. - Final report: https://pages.paperclip.ing/skills/optimization/paperclip/pap-14624-p3-final-20260721/ ### Provenance - `v7-roster` is the Phase 1 champion plus additions-only edits E107–E112. Per-edit rationale remains in the evals repository at `source/v7-roster/EDITS.md` and is deliberately excluded from this PR. - `v0` is the `skills/paperclip` tree from commit `ea66ea81`. - Champion selection was accepted on July 21, 2026 via board card `9c304fc2` (PAP-14624 G3). - This delivery mechanism was accepted on July 24, 2026 via plan revision `2367abd2` (PAP-14858). ### QA Evidence - P4 QA matrix comment `b7f40522-4e9b-4a3a-9821-28e86fe1a987`: all 6 acceptance criteria passed. - Automated QA matrix: 166 tests passed with 0 failures, including real filesystem materialization and full SHA-256 assertions. - UI QA exercised the real agent Skills tab at desktop and mobile widths with the experimental flag both on and off. ## Verification - `pnpm check:token-gates` - Focused beta-release matrix: 169 tests passed across shared validators, server services/routes/heartbeat behavior, instance settings UI, and release picker UI. - `pnpm -r typecheck` - `pnpm build` - `pnpm test:run`: server and UI partitions passed; one CLI doctor test inherited temporary AWS credentials from the agent heartbeat and expected no static credentials. The isolated rerun with `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, and `AWS_SESSION_TOKEN` unset passed 8/8. - V7 SHA-256: - `SKILL.md`: `53ab290489684cbf116fdd1406a95f6b6f53c9c36358b1bf8bfeae481e253575` - `references/cases.md`: `3b821f59064a7761091020a14819a8d787131f24029748563d6c0e1be7e6eaec` - `references/workflows.md`: `69747bd6e05f7e3673d1e67b07ff295df1869c05e1fd029804d5fa9177db92cd` - Confirmed 49 changed files, no `pnpm-lock.yaml`, no workflow changes, and no `EDITS.md`. ## Risks - **Migration:** low-to-moderate risk. Three nullable columns and one partial unique index are added idempotently; existing rows remain valid. - **Behavior:** low risk while the flag is off because read-time resolution forces the live default and saved pins are preserved but inactive. - **Frozen content:** release snapshots intentionally diverge from future live skill edits; provenance and hashes make that divergence explicit and reproducible. - **UI:** low risk. The picker only renders for the bundled core skill when the experimental flag is enabled and seeded releases exist. > This extends the existing Skills Manager / Skill Studio direction described in `ROADMAP.md`; it does not duplicate another open implementation PR. The GitHub PR search found no related `enableBetaSkills` change. ## Model Used - OpenAI Codex using `gpt-5.5` with reasoning and terminal/code-execution tools; context-window size is not exposed by this runtime. Earlier implementation commits also record Claude Opus 4.8 assistance where applicable. ## 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 - [ ] I have not referenced internal/instance-local Paperclip issues or links (required governance identifiers are included above; no internal URL is included) - [ ] My branch name describes the change and contains no internal Paperclip ticket id (the approved delivery plan mandated this shared branch name) - [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> |
||
|
|
89ce36d7af |
feat(skills): open-by-default company skill policy and core UX (#9564)
## Thinking Path > - Paperclip uses company skills to make agent capabilities reusable across an organization. > - Skill operations currently mix capability availability with permission checks, which creates avoidable setup friction and inconsistent denial handling. > - The policy contract needs to remain open by default while allowing company-scoped restrictions for governed deployments. > - Core owns the canonical policy actions, persistence, evaluation, API behavior, safe import boundaries, and generic denial/read-only UI. > - Enterprise policy-editor implementation belongs in the separate `paperclip-ee` repository and is intentionally excluded from this PR. ### Problem or motivation Company skill operations can encounter permission dead ends even when no explicit restriction has been configured, and import-source classification can drift between policy evaluation and execution. ### Proposed solution Define eight canonical skill policy actions, default all actions to allowed, persist company-scoped restrictions, expose policy evaluation APIs, normalize import sources at the boundary, and update Skill Studio to present actionable restriction states without embedding Enterprise Edition implementation in the core repository. ### Alternatives considered Keeping capability checks distributed across routes and UI surfaces was rejected because it duplicates policy logic and makes denial behavior inconsistent. Shipping the Enterprise policy editor in this repository was rejected because `paperclip-ee` is a separate repository and must receive its own PR. ### Roadmap alignment Extends the completed **Skills Manager** roadmap area by adding coherent governance and removing workflow dead ends. ### Additional context The core API contract remains suitable for a separate Enterprise Edition editor, but this PR contains no `paperclip-ee` package or EE-specific UI integration code. ## What Changed - Added the company skill policy contract to product and implementation documentation, including the open-by-default rule, eight canonical actions, decision shape, and core/EE ownership boundary. - Added the company-scoped policy schema, migration `0170`, shared validators, policy service, REST routes, OpenAPI coverage, and focused server tests. - Hardened import policy enforcement by normalizing import sources and keeping source classification consistent between policy evaluation and execution. - Updated core Skill Studio behavior to remove generic permission dead ends and show actionable policy/platform denial states only when an operation is actually denied. - Removed the `plugin-paperclip-ee` package, Docker wiring, EE discovery/deep-link helpers, and EE-specific UI tests/stories from this PR so that implementation can be submitted separately to the EE repository. - Preserved open-by-default behavior when no explicit company restriction exists. ## Verification - `pnpm --filter @paperclipai/ui exec vitest run src/components/skill-studio/SkillPolicySurfaces.test.tsx src/lib/skill-policy-denial.test.ts` — 20/20 passed. - `pnpm --filter @paperclipai/ui exec tsc --noEmit` — passed. - `pnpm --filter @paperclipai/server exec vitest run src/__tests__/worktree-config.test.ts` — 12/12 passed. - `pnpm check:token-gates` — passed with all gates clean. - `git diff --check` — passed. - `git diff --name-only origin/master | rg 'paperclip-ee|ee-skill-policy'` — no matches. ## Risks - Migration `0170` introduces company policy persistence; rollout depends on the migration applying before policy routes are exercised. - Open-by-default is an intentional behavioral policy: deployments expecting implicit denials must configure explicit restrictions. - Import normalization is security-sensitive and should retain focused review. - The separate EE editor must stay contract-compatible with the core policy API as policy actions evolve. ## Model Used - OpenAI Codex CLI, runtime model identifier and context-window size not exposed by this execution environment; reasoning, repository tool use, shell execution, and code review capabilities enabled. ## 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 to this runtime) - [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 or described the result 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 and contains no internal Paperclip ticket id or instance-derived details - [x] I have run focused 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 on the latest head - [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> Co-authored-by: Claude Fable 5 <noreply@anthropic.com> Co-authored-by: Evyatar Bluzer <bluzername@users.noreply.github.com> |
||
|
|
b13eb5b2b5 |
Skill Studio: three-pane skill IDE with sandboxed test runs (#9241)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - The Skills Manager gives operators a reusable skill layer, but iteration still required manual edits, ad hoc prompts, and indirect run inspection. > - Skill authors need a focused workflow for editing skill files, saving representative test inputs, and running those inputs through an agent without exposing harness tasks as normal company work. > - The backend therefore needs durable test inputs, reusable run templates, hidden harness issues, scoped run execution, retention metadata, and read-containment rules around hidden work. > - The frontend needs a three-pane Studio that keeps skill files, saved inputs/templates, and run output/history visible together while preserving the existing design system and token rules. > - This pull request ships that Skill Studio surface end to end: database migrations, shared contracts, server APIs/services, hidden harness execution behavior, UI routes/components, and focused tests. > - The benefit is faster and safer skill iteration, with inspectable outputs and fewer ways for internal harness work to leak into normal task lists, costs, or adjacent read APIs. ## Linked Issues or Issue Description No public GitHub issue exists for this feature. Feature request summary: - Problem: Skill authors need to edit and test company skills in one place instead of switching between the skill detail page, task creation, run output, and manual prompt history. - Proposed solution: Add a Skill Studio workbench with saved inputs, reusable templates, hidden sandboxed test runs, live run status, output inspection, run history, rerun/delete controls, and frontmatter-aware editing. - Expected users: Paperclip operators and agent-company maintainers who create, fork, import, and tune skills. - Related public PRs: Supersedes #9205, which was replaced so the public PR branch name follows contributor policy. - Duplicate search: searched public GitHub issues and PRs for "Skill Studio"; no other active public issue or PR directly covers this feature. ## What Changed - Added database migrations for Skill Studio test inputs, test runs, test run retention, and reusable run templates. - Added shared Skill Studio types, validators, route helpers, frontmatter utilities, and status handling. - Added server services and routes for saved inputs, test runs, templates, reruns, terminal-run deletion, hidden harness issue execution, and run-detail hydration. - Strengthened hidden-issue read containment across issue-adjacent routes and cost rollups used by skill test harness work. - Added the Skill Studio UI with skill file editing, frontmatter editing, saved inputs, templates, run creation/cancel/rerun/delete flows, output rendering, history, route support, and responsive pane behavior. - Added focused backend, shared, and UI tests for the new APIs, routing logic, editor/run behavior, hidden-issue containment, and migration safety. - Rebased onto current `master`, removed the generated lockfile diff from the PR, and verified no workflow files are changed. ## Verification - [x] `pnpm --filter @paperclipai/db check:migrations` - [x] `pnpm check:token-gates` - [x] `pnpm exec vitest run server/src/__tests__/company-skills-service.test.ts server/src/__tests__/company-skills-routes.test.ts server/src/__tests__/company-skill-test-runs-service.test.ts ui/src/lib/skill-studio.test.ts ui/src/pages/SkillStudio.test.tsx` — 5 files, 132 tests passed - [x] Greptile review on the latest PR head - [x] GitHub PR checks on the latest PR head ## Risks - Medium risk because this is a broad feature touching database schema, server orchestration, issue visibility, and a large UI surface. - Hidden harness issue containment is security-sensitive; this PR includes regression coverage for adjacent read paths and cost rollups. - The new migrations are additive and use idempotent guards where applicable, but deployed databases that previously tested draft migration numbers should still be checked carefully. - The UI depends on a new resizable panels package in `ui/package.json`; the lockfile is intentionally left to repository automation. > 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, GPT-5 coding agent with shell, git, and GitHub CLI tool use. Earlier feature commits include assistance from other Paperclip coding agents; this PR preparation, rebase, cleanup commit, and PR body were completed by OpenAI Codex in a Paperclip worktree. ## 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> Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> |