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9ef434fe79 |
docs: expose feature map IDs and add a recipe index (#16987)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Its feature map describes user journeys and their verification paths. > - The map already defines feature IDs and full capability IDs. > - The README and child pages did not show those IDs consistently. > - Readers need those IDs to connect issues, tests, stories, and evidence. > - This pull request adds a recipe index and displays the existing IDs. > - The benefit is clear references across the product and agent access maps. ## Linked Issues or Issue Description **Issue type** Missing documentation. **Where is the issue?** `maps/feature-map/README.md`, the child recipes, and their agent access companions. **What's wrong?** The README sends readers to Storybook to browse features. Child pages show local keys, such as `installation`, without the full `plugins/installation` ID. Readers must inspect the generator to find the full reference. **Suggested fix** List recipe links and existing IDs in the README. Show each feature ID and full capability ID in its child pages. Explain capability IDs and entry-point references. Keep the current keys and anchors. Related work: Refs #15288. Refs #16052. Refs #15983. No duplicate open PR or issue was found by title search. ## What Changed - Add an index grouped by feature area. It lists every recipe, feature ID, and full capability ID. - Explain how IDs are formed and used in issues, tests, Storybook, and evidence. - Add feature IDs to all product recipes and agent access companions. - Show full capability IDs beside recipe keys and below access and Storybook guidance headings. - Preserve existing keys, heading anchors, and generated ID values. Keep the latest upstream company capability in the index. ## Verification - `node scripts/check-maps.mjs` passes for 34 feature families and 175 capability IDs. - `node --test scripts/check-maps.test.mjs scripts/storybook-feature-index.test.mjs` passes all 17 tests. - `node scripts/storybook-feature-index.mjs` passes on this checkout and generates the feature indexes and overview inputs. - `git diff --check` passes. - A source comparison confirms that the README matches the recipe index. After removal of the added ID labels, all 68 child pages match the upstream prose and headings. - Full workspace checks were attempted: `pnpm -r typecheck`, `pnpm test:run`, and `pnpm build`. They could not start because the local pnpm wrapper could not fetch and verify the pinned pnpm 9.15.4 release. This checkout also has no workspace dependencies installed. - `node scripts/storybook-catalog.mjs` could not run because `storybook/internal/csf-tools` is not installed. The direct map and index checks above pass without that dependency. - Remote typecheck, release-registry, and full build checks passed. The first attempts of [server shard 3/12](https://github.com/paperclipai/paperclip/actions/runs/39460473910/job/118758430448) and [server shard 12/12](https://github.com/paperclipai/paperclip/actions/runs/39460473910/job/118758429932) stopped after their runners received a shutdown signal. The test steps were canceled. GitHub rejects the rerun request with HTTP 403: "The workflow run containing this job is already running". Five other CI jobs remain active. The next action is to rerun the two interrupted shards after workflow 39460473910 ends. No application changes were made to address these runner interruptions. - To inspect the result, open the feature-map README, follow a recipe link, and compare its full capability IDs with its access companion. ## Risks - Low risk. The change updates map documentation only. It changes no application code or ID schema. - The readable README index and child labels repeat source IDs. Keep them aligned when a capability changes. - Generated capability descriptions now include the visible ID prefix. Generated IDs, labels, navigation order, and verification fields remain the same. - Full local workspace checks and catalog generation remain unverified for the environment reasons above. > 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, model `gpt-6.1-sol`, with a 475,000-token context window and `xhigh` reasoning effort. The model used local file tools, shell commands, and GitHub CLI access. ## 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 - [ ] 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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9225796a4e |
fix(runner): page oversized assigned tool results (#16980)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Native agents receive assigned app-tool results through the durable Runner protocol. > - The assigned-tool bridge returned complete provider responses without a size bound. > - A large response could exceed the encrypted command limit after the upstream call had completed. > - The provider then waited for a result that the controller could not deliver. > - This pull request saves large governed responses and returns a small reference with a scoped page reader. > - Agents can retrieve the full result without repeating the original action. ## Linked Issues or Issue Description **What happened?** Large app-tool responses could leave native tool calls pending even though the upstream service completed. The durable command limit is about 510 KiB. The assigned-tool bridge did not account for that limit. A 720,048-byte regression response failed the delivery-size assertion before this change. **Expected behavior** Deliver a bounded response and a way to retrieve all saved content. Keep the original action at one execution. Preserve task, agent, company, responsible-user, and current-run access checks. **Steps to reproduce** 1. Run a native agent with an assigned tool that returns more than 510 KiB of JSON. 2. Let the upstream tool complete. 3. Observe that the original bridge returns the oversized object directly, so the durable controller cannot queue its result. Related: #14734 preserves uncertain tool outcomes across shutdown and restart. This change keeps that protection. #16517 handles native MCP content projection on a different transport; it does not bound native assigned-tool results. ## What Changed - Save governed assigned-tool responses above 500,000 encoded bytes using the existing response asset storage, quotas, and audit path. - Add `read_tool_result` for UTF-8 JSON pages from the same task and agent. Each encoded page is capped at 500,000 bytes, including JSON escaping and metadata, with remaining content available through the next byte offset. It works when generic API tools are disabled. - Reuse existing authenticated asset reads and responsible-user checks. Retrieval does not invoke the upstream service. - Preserve uncertain delivery if storage fails after an action completes. - Add regression, fault, authorization, and opt-in live Codex checks. Document the transport and access contract. ## Verification - Red: the original integration regression returned 720,048 bytes against unchanged production code and failed its bounded-response assertion. The follow-up regression also showed that a 480 KB result was unnecessarily saved under the original 24 KiB policy. - Green: results through 500,000 encoded bytes stay inline. Larger responses are saved in full. Real HTTP integration tests reconstruct the complete Unicode result after controller recreation in exactly two pages, in both standard and low-trust configurations, with one upstream execution. - The encoded-size boundary and escape-heavy Unicode tests verify that every page fits 500,000 bytes, cursors advance on valid UTF-8 boundaries, and concatenating pages exactly reconstructs the original JSON. Storage-failure tests preserve an uncertain outcome without repeating the action. - The focused unit/API run passes 1,957 tests; the changed real HTTP tests pass. `pnpm -r typecheck`, `pnpm build`, `node scripts/check-maps.mjs`, and `git diff --check` pass. - Real Codex acceptance passes with `gpt-6.1-sol` through Codex CLI 0.160.0 and native Runner, on macOS ARM64 with `low_trust_review` and generic API tools disabled. Codex requests every page in order, receives all 660,098 original bytes, and returns the final verification field. The two encoded pages are 500,000 and 160,543 bytes; the upstream operation executes once. Runner closes successfully in a 34.1-second probe. Only the disposable database's connection/worker counts were reduced to fit the host's remaining semaphore capacity. - The native-PRP regression also passes with escape-heavy Unicode pages over 1 MB in total and a separate inline result containing 200,000 backslashes. A scripted provider verifies both complete results by SHA-256. It proves the intermediate text wrapper can exceed 700 KB because the native transport decodes it before queuing the bounded PRP result; every result object stays within 500,000 encoded bytes. Native binaries are required for the local run, preventing a silent skip. - A second real-Codex probe with escaped Unicode, quotes, backslashes, newlines, and NULs also passes: every original byte of a 720,098-byte JSON response is retrieved in two encoded pages of 500,000 and 460,543 bytes. The model returns the final field, the upstream call executes once, and Runner closes in 32.6 seconds. This uses the same production source with only the synthetic fixture content varied. - The live probe exercises real PRP, persistence, and authenticated asset reads. It does not claim the original staging task resumed or full heartbeat checkpoint acceptance. - Earlier broader local testing passed 103 tests but could not start the second database for the existing `rejects a stale source-run question over public HTTP and accepts it from the next run` test. Extending its timeout exposed PostgreSQL initialization failure on this semaphore-exhausted host. The earlier local `pnpm test:run` attempt was interrupted and is not claimed as passing. Full CI passes on current head `cd32237ee5429765b8f349402ac3c79cceec3e6b`. GitHub reports 55 successful checks, two skipped Storybook checks, and one neutral Paperclip agent review. Greptile is 5/5 on this head with no review threads. - Additional Paperclip agent review is incomplete: it withdrew the earlier double-escaping finding after inspecting the native regression, found no new actionable defects, and reported stalled large-source reads prevented independent inspection of the transport decoder. Its neutral assessment is [recorded here](https://github.com/paperclipai/paperclip/pull/16980#issuecomment-6295579705). This limitation remains separate from the passing local native transport, real Codex acceptance, full CI, and Greptile results. ## Risks - Large responses now consume existing response-storage quota and require page reads. Larger pages use more provider context. Results are preserved in full; each encoded page leaves about 22 KiB below the PRP command limit for the command envelope. - A storage failure after execution retains an uncertain delivery outcome. The bridge must not report that the upstream action failed or invite a replay. - The dedicated reader grants access only to saved responses for the current task and agent. The asset route also checks the original responsible user. - Runner command limits and receipt rules remain unchanged. No migration or separate Runner protocol rollout is required. - This PR does not deploy the repair or resume an existing blocked task. ## Model Used OpenAI Codex (GPT-6), with reasoning, tool use, and code execution. The exact serving model ID and context-window size are not exposed in this session. The opt-in acceptance probe requests `gpt-6.1-sol` through Codex CLI 0.160.0. ## 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 and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass for the changed behavior (focused unit/API, real HTTP, and real Codex acceptance); the broader local database limitation is documented above - [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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7ec6e1a237 |
fix(runner): explain invalid arguments for assigned tools (#16905)
## Thinking Path > - Paperclip coordinates agents through authorized tools. > - The native runner validates arguments before it dispatches a tool call. > - Schema failures give repair guidance for only five built-in tools. > - Assigned-tool discovery receives a generic rejection, so an agent can mistake invalid arguments for missing access. > - This PR applies the existing safe schema feedback to every authorized tool. > - Agents can correct their calls while authorization, approval, and replay checks remain in force. ## Linked Issues or Issue Description **What happened?** An invalid `paperclip_search_assigned_tools` call returned only `Paperclip rejected this semantic tool call`. The call never reached the assigned-tool gateway. The same feedback gap affects arbitrary assigned app tools. **Expected behavior** Identify argument validation as the cause. Return bounded schema locations and ask the provider to correct its arguments. Do not expose submitted values or grant access to unassigned tools. **Steps to reproduce** Prepare an authorized discovery tool. Submit an invalid query or optional argument through the native runner. Observe the generic error before this fix. Correct the arguments and confirm one dispatch after this fix. **Paperclip version or commit** Reproduced on master at `4970d5ed3d`. The incident did not retain its rejected arguments, so the tests cover representative invalid inputs rather than claim to replay that exact payload. **Deployment mode** Native runner with the Codex app-server driver. Local verification uses macOS ARM64 and controlled provider fixtures. Related: #16868 added bounded monitor validation feedback. #16723 changes runtime MCP catalog loading; this PR changes the Rust runner validation response and does not depend on that work. ## What Changed - Supply generic repair guidance for any authorized tool whose arguments fail JSON Schema validation. Preserve specific built-in hints. - Keep the existing three-location and 512-byte limits. Do not include input values or unknown keys. Preserve generic authorization failures and the existing retry flag. - Cover missing fields, wrong types, null optional fields, bounds, unknown fields, unchanged rejected-call state, corrected calls, and completed-call replay protection. - Exercise rejection, correction, one dispatch, and successful completion through the real Codex driver with a controlled provider subprocess. - Document the behavior and its verification scope in execution semantics and the agent access map. ## Verification - Red: both new runner regressions failed on the original generic rejection. The existing API-validation regression passed. - Green: all seven selected validation tests passed. The new Codex transport regression passed with one rejection and one corrected dispatch. - `cargo fmt --manifest-path packages/paperclip-runner/runner/Cargo.toml --all -- --check`, `node scripts/check-maps.mjs`, and `git diff --check` passed. - Full Rust workspace tests, the repository build, and sequential repository typecheck passed. The existing assigned-tool gateway suite passed all 30 tests. All hosted test and end-to-end jobs passed on this head. The duplicate local `test:run` was interrupted after the hosted suites passed; its local result is incomplete. The hosted build and clean public npm installation check also passed. All current-head CI gates are green, including the final verify and e2e aggregates. - Greptile reviewed commit `3e2743e1e15b3b13a7d803ce4d828510e41fb22a`: 5/5, no actionable findings. - Setup evidence: master has a stale dependency lockfile. Dependencies were resolved with the pinned pnpm 9.15.4; lockfile changes are excluded. The first full typecheck overlapped the build and failed copying a generated shared-package file. The sequential rerun passed with no source change. The initial copy failure remains recorded here; the concurrent build-output race was not separately reproduced. - The provider is simulated. This proves runner validation and transport recovery, not that a live model always retries or that GitHub credentials work. ## Risks The provider now sees schema locations for all authorized tools. The existing sanitizer and bounds still apply. Unknown input keys and values remain excluded. No schema, permission, approval, automatic tool replay, database, or connection-auth changes are made. Unauthorized tools still get a generic rejection. ## Model Used OpenAI Codex (GPT-6), with reasoning, source inspection, and tool execution. The exact runtime model ID and context-window size 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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370fb50ad4 |
fix(mcp): keep sibling tools available after transient calls (#16890)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Agents use remote MCP tools through a governed gateway. > - The gateway lists tools only while their shared connection is healthy. > - One failed call currently marks the whole connection as unhealthy. > - Later calls to healthy sibling tools then fail with `tool_not_found`. > - This pull request keeps non-authentication call failures on their invocation. > - Agents can continue their work while credential and access gates remain in force. ## Linked Issues or Issue Description Refs #10147. Related work: #15462 fixed oversized and malformed response handling. #15448 covers timeout and JSON-RPC health handling together with separate SSE and catalog discovery changes. Its patch still marks fetch failures and HTTP failures as connection errors. #15325 proposed a transport failure counter; it has merge conflicts and has not changed since October 6. #11910 is an older timeout fix with merge conflicts. This PR covers the remaining fetch and HTTP failure paths on current master, with the same narrow call-health rule for timeouts and JSON-RPC failures. It does not include the SSE or discovery changes from #15448. The timeout session-reset check follows the recovery case discussed in #15448. **What happened?** A shared remote MCP connection works until one call has a network failure, timeout, HTTP 503, or JSON-RPC error. Every later call on that connection returns `tool_not_found`, including healthy sibling tools. Connection setup then asks for user attention even though the failure did not prove that credentials need repair. **Expected behavior** The original invocation retains its failure. Authorized sibling tools remain callable. The gateway does not replay an ambiguous action. HTTP 401/403, missing credentials, and explicit insufficient scope keep their access gates. **Steps to reproduce** 1. Give an agent access to two read tools on one remote MCP connection. 2. Make one tool fail with a network error or HTTP 503. 3. Call the other tool in the same gateway session. 4. Before this fix, the second call fails with `tool_not_found` before provider dispatch. **Paperclip version or commit** `master` at `e6dcd1e8e9`. The regression runs against source with synthetic data. **Deployment mode** Any deployment that uses a shared remote MCP connection. This is a core gateway issue. ## What Changed - Preserve connection health after a network failure, timeout, non-authentication HTTP error, or JSON-RPC error from one tool call. - Retain HTTP 401/403 and insufficient-scope health gates. - Retain HTTP 401/403 gates during MCP initialization and its initialized notification, with HTTP 503 controls for both stages. - Discard only the upstream session used by a network failure or timeout. Let the next explicit call initialize again. - Add sibling-tool regression cases, authentication controls, and real HTTP header/body timeout checks. - Update runtime recovery guidance and the feature and access maps. ## Verification - Red: the four new sibling-tool cases failed on the original implementation. Each second call returned HTTP 404 with `tool_not_found`. HTTP 401/403 control cases passed. - Green: the same six-case selection passed after the production change: `pnpm --filter @paperclipai/server exec vitest run src/__tests__/tool-gateway-service.test.ts -t 'keeps sibling MCP tools usable|keeps the connection blocked' --maxWorkers=1`. - The regression checks the actual gateway and embedded PostgreSQL. The injected provider fault preserves the call boundary. It checks failure recording, no automatic replay, catalog retention, and successful sibling dispatch. - The real local HTTP fixture checks cancellation before headers and during a body, then a successful explicit call with a fresh MCP session. - `node scripts/check-maps.mjs` and `git diff --check` pass. - Complete nearby suites pass: 166 tests across `tool-gateway-service.test.ts`, `tool-gateway.test.ts`, `remote-mcp-protocol.test.ts`, and `mcp-http.test.ts`, with one test worker. - `pnpm --filter @paperclipai/server exec tsc --noEmit` passes after refreshing Runner TypeScript declarations. The first package typecheck used declarations from before the rebase and failed two unchanged native-session call sites; rebuilding that dependency resolved both errors. - The rebased head also passes all 11 selected sibling/authentication/session regressions. - Review regression red: setup-stage HTTP 401/403 controls failed because connection health stayed `ok`; the two setup-stage HTTP 503 controls passed. Green: all six setup controls and the complete 166-test nearby run pass. The fix separately handles typed initialization authentication failures and preserves the existing caller error. The server compiler also passes after this change. - Full repository CI passes on `256a65ccc302c1c31a80e87f1f91411d955028de`: typecheck, build, test shards, Runner checks, browser checks, Canary dry run, and aggregate gates. All checks are terminal: 55 successful, 2 expected skips, and the separate Paperclip Review check is neutral. Greptile is 5/5 on this exact head, with no open findings. - Full repository checks were run in CI. Local verification in this worktree used the focused suites and server compiler to keep parallel work bounded. - This change has no live provider or staging deployment proof. ## Risks - A provider that remains unavailable can stay listed until a health check detects the outage. Each call still fails with its original controlled reason code. - No automatic retry occurs because a failed remote action may already have run. - Already unhealthy connections still need a successful health check after an upgrade. - No schema, credential policy, or permission contract changes. ## Model Used - OpenAI Codex, GPT-6 family, with tool use and code execution. The runtime does not expose the exact serving model ID or context window. ## 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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6f8ad3d77b |
Add verified session-local stdio MCP transport to Runner (#16526)
## Thinking Path > - Paperclip manages AI agent runs and their tool authority. > - Runner supplies provider sessions with assigned MCP connections. > - The current native connection binding supports an HTTP gateway only. > - Execution hosts also have private local tools with stdio MCP interfaces. > - Those tools need session-local registration and safe concurrency. > - This pull request adds verified local stdio assignments beside the existing gateway. > - Providers receive the existing tool schemas and image content. ## Linked Issues or Issue Description **Problem or motivation** Runner can supply a native provider session with an HTTP MCP gateway, but cannot also assign a verified local stdio MCP server without persistent provider configuration. Execution hosts need a session-local transport for local MCP tools, coordination for calls sharing a resource, and native schema/image delivery. The pinned native Codex client drops MCP images when `structuredContent` is also present. **Proposed solution** Add general stdio MCP transport support using host-assigned executable digests, arguments, environment and a private Unix socket identifying the shared resource. Tool implementations supply their own schemas and responses; Runner forwards their native MCP schemas and content. Register the transport for the current provider session. Serialize calls across processes, keep unknown outcomes fenced, and authorize assigned native Codex tools without a new prompt while routing explicit tool confirmations through existing PRP permission requests. Retain the HTTP gateway and applicable permission policy. **Alternatives considered** Reimplementing tools or translating their actions into provider-specific APIs would tie the transport to individual tool implementations. Global provider config would leak session assignments. Shell commands alone do not deliver native MCP images or preserve MCP approval requests. **Roadmap alignment** This completes the existing Runner transport boundary. Related: #10690 (operator config for the legacy ACPX engine), #11605 (gateway delivery of installed stdio connections), #16486 (preconfigured provider homes). This change assigns local tools on the execution host and leaves those administration paths intact. ## What Changed - Add reserved, verified stdio bindings for native Codex and through the shared ACPX runtime. ACPX clients must support stdio MCP assignments. Read-only sessions omit the binding. No home/project config is rewritten. - Run the backend with only its assigned environment through the verified executable launch path. - Serialize all calls sharing a private Unix socket across sessions. Metadata remains responsive. Queued cancellation prevents execution; active calls remain fenced until acknowledgement. Unknown outcomes require a resource restart. - Authorize host-assigned native Codex tools without a new per-call prompt, matching existing execution-host shell utilities. Preserve explicit tool deny/prompt rules. Route requested MCP tool confirmations through one-time PRP approvals, bound to the active thread and turn. Keep shell escalation disabled and existing tool deny rules effective. ACPX adapters retain their applicable ACPX permission policy. - Preserve schemas and image blocks. For native Codex 0.160/0.162, retain structured metadata as MCP text on image-bearing results to avoid the client's image-loss bug. ACPX adapters receive the original response. - Document transport authority, cancellation and recovery limits. ## Verification - `pnpm -r typecheck` and `pnpm build` passed with pnpm 9.15.4 and Rust 1.97.1 on macOS arm64. - Before Apex, full `paperclip-runner-core` Rust tests passed. After the fixes, all 379 library tests and eight subprocess tests using a generic stdio MCP fixture pass. Those subprocess tests cover schema/image passthrough, assigned-only environment, executable drift, call serialization, cancellation and unknown outcomes. The native Codex suite passed 91 tests with two intentionally ignored; `receipt_limit_rejects_the_call_and_keeps_polling_when_interrupt_fails` timed out waiting for `turn.interrupted`, including an isolated retry. The unchanged pre-fix commit `80917b301a2309f7966a466cf0c198a2112be2d5` reproduces the same timeout in isolation; this local native-suite run is not claimed as fully passing. - All 252 native controller tests pass against the final narrowed approval branch. Focused TypeScript transport/permission suites passed (298 tests); final binding, read-only host, policy and adapter checks passed (105 tests). - **Provider-client smoke coverage:** pinned Codex 0.160.0 through native Runner and Claude SDK 0.3.286 used local stdio MCP servers and loopback model API fixtures without live model credentials. These clients define the smoke-test coverage; this is not an exhaustive adapter compatibility test. Image responses reached the next model request as typed image blocks. Native Codex checks also verified unattended execution without approval requests, explicit per-tool prompt denial without backend execution, disabled-tool rules, and stale-turn approval rejection. - Two Greptile concurrency findings were reproduced with failing subprocess tests and fixed: pending cancellation under output backpressure, and a ctime-based fence reset after chmod. Initial checks exposed Codex CLI option-scope and key-quoting errors, which were corrected. The existing ordinary elicitation regression also exposed an overly broad request branch; the final branch handles explicit tool approvals only. - `pnpm test:run` was attempted. The broad local server suite hit persistent embedded PostgreSQL startup failures and unrelated local Git fixture failures; it was stopped with the failure log retained. Those local results are not claimed as passing. Hosted Linux CI gates passed on the reviewed runtime commit, as recorded below. - First Apex review found three additional defects, now fixed with regressions: keep the resource-lock socket snapshot instead of sampling the socket twice; project native permission requests with durable turn/item IDs while retaining provider IDs in details; validate provider response conversion before marking a request as settling. The retry regression failed before the fix. Focused Codex request/adapter checks pass (23 tests), server permission projection passes (16 tests), and all 379 Runner library tests pass. The broader database-backed bridge suite was attempted but its local PostgreSQL setup timed out; 29 tests did not execute. This local failure is retained, not claimed as passing. - Runtime acceptance before the documentation clarification, on `bd4fccae001157beb5bc76ff17c1920a5db3105a`: standard Greptile 5/5, then Apex 5/5 with no unresolved threads; all 60 checks complete successfully or intentionally skip. Ten CI jobs were interrupted by the same runner shutdown, including one stale job that required cancellation before retry; the same-commit retry passed. Hosted Rust tests also pass, including the native suite with the local baseline timeout noted above. - `git diff --check`, map validation, and pre-push secret/PII scan passed. ## Risks - No live model account or deployment isolation qualification was run. The loopback fixture proves the actual vendor-client request format, not model interpretation. - Stdio MCP support uses the current host-assignment contract: each binding requires a verified executable and a private Unix socket identifying the serialized resource. Other platforms retain the HTTP path. No provider version was upgraded. - A lost acknowledgement blocks subsequent calls until the host restarts the assigned resource. Direct shell calls are outside this MCP fence and retain the existing shell policy. - Preconfigured Claude remains unattended and denies interactive approval requests. Host assignment authorizes native Codex local tools; it must be supplied only for sessions already authorized to use the resource. ## Model Used OpenAI Codex, GPT-6, with reasoning and repository/tool execution. The session does not expose a more specific model identifier or 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 - [ ] 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 - [ ] All Paperclip CI gates are green - [ ] 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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90924d61b3 |
fix(tools): batch profile selector validation (#16521)
Batch company-scoped profile selector validation while preserving both existing write boundaries and exact selectors. Verified with 81 affected local cases, full repository typecheck/build, current-head CI/E2E, Superagent and Apex 5/5; no unresolved findings. Co-Authored-By: Paperclip <noreply@paperclip.ing> |
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1e731520bb |
fix(mcp): deduplicate discovered tool descriptors (#16281)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Agents receive governed app tools through the MCP gateway. > - GitHub review tasks can contain a PR discussion and inline finding threads. > - Discovery repeated each tool for every conversation linked to the task. > - Native tool registration treated these repeated descriptors as a fatal collision. > - This pull request lists GitHub tools once and deduplicates identical descriptors across providers. > - Agents can continue work while conflicting definitions and normal tool permissions remain enforced. ## Linked Issues or Issue Description **What happened?** A follow-up run on a GitHub review task failed with `assigned_mcp_tool_name_collision` before the provider started. The task had a main conversation and an inline finding thread. Discovery returned the same seven tools twice. Repeated descriptors from other providers could cause the same failure. **Expected behavior** Discovery exposes each identical tool once. Separate connection names remain separate tools. Conflicting definitions remain an error. Every call still passes the gateway's policy, approval, revocation, and audit checks. **Steps to reproduce** 1. Run a GitHub review and publish an inline finding. 2. Send a follow-up request on the same PR task. 3. Inspect the task-bound bot catalog and the next native startup. 4. Separately, return two identical descriptors from an assigned app or plugin catalog. Related: #13717 added the GitHub review workflow. ## What Changed - Use a distinct GitHub discovery query across conversations that share an endpoint and task. Keep both thread mappings. - Deduplicate identical gateway descriptors by their full gateway name across providers. Use this rule for MCP listings, plugin listings, assigned-tool startup, and fresh assigned-tool discovery. - Reject conflicting descriptors with `tool_name_collision`. Keep the projected-name collision guard. - Cover GitHub inline-thread discovery, repeated plugin/app tools, direct and on-demand catalogs, revocation, conflicting bindings, and separate connection names. - Update the execution contract, GitHub documentation, and agent access map. ## Verification - Regression baseline: six new assertions failed on the original implementation. GitHub returned fourteen entries, plugin discovery repeated a tool, and native startup failed on repeated app tools. - Focused verification passed: 272 GitHub cases, all 29 assigned-tool cases, and all 88 gateway acceptance cases. - `pnpm -r typecheck` passed. - `pnpm build` passed. - `node scripts/check-maps.mjs` passed. - Current-head CI passed: 55 checks passed, two inapplicable checks skipped. Greptile scored the current head 5/5 with no unresolved threads. - Full local `pnpm test:run` encountered a 15-second timeout in the existing bearer-auth throttling test, before tool discovery. That test passed in the separate 88-case gateway run and on one isolated rerun. The duplicate broad local run was then stopped; the complete current-head CI matrix passed. ## Risks - Deduplication keeps the first identical descriptor and preserves listing order. Same-name descriptors with different definitions fail with HTTP 409 rather than selecting an ambiguous binding. - The GitHub query changes result cardinality. It retains the existing task/company/agent filters and leaves conversation rows intact. - No schema migration or credential change. Live staging recovery requires deployment and a new authorized run. ## Model Used OpenAI Codex, based on GPT-6, with code inspection, editing, browser investigation, and test execution. The exact serving model ID 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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fc3b15537b |
fix(runner): match call_api to existing agent REST permissions (#16040)
Route native call_api through existing agent REST permissions. Preserve admitted credentials across restarts, protect sensitive replies and private snapshots, and compare saved completion with provider history through the same redaction projection. Add permission, privacy and recovery regressions and update the access map and run-log guide. Co-Authored-By: Paperclip <noreply@paperclip.ing> |
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7d9b93aee2 |
docs: establish paired feature and agent access maps (#16025)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Contributors use the feature map to understand and verify product capabilities. > - Agents need APIs and usable entry points within their permission boundaries. > - Product recipes and agent access need separate records with shared capability IDs. > - This pull request establishes that contract and gives maintenance ownership of both maps. > - The benefit is repeatable access review without changing product behavior or permissions. ## Linked Issues or Issue Description Refs: #15983, which added the portable verification skills and updated the feature map. This is its contract-only follow-up. Related: #15288 added the original feature map. **Issue type** Missing documentation and maintenance contract. **Where is the issue?** The product map, its missing agent access companions, and the verification skills. **What's wrong?** There is no shared convention for API presence, agent entry points, permission boundaries, access gaps, or evidence. An API declaration does not prove that a permitted native or remote agent can use it. **Suggested fix** Keep the product and agent access maps as siblings under `maps/`. Reuse capability IDs. Record representative source inventory separately from operation review and live proof. Keep both maps aligned through the maintenance skill. ## What Changed - Move the existing product map to `maps/feature-map/`. Preserve its recipes and Poteto format. Update relative links and add companion links. - Add `maps/agent-access-map/` with 35 area files and 171 matching capability IDs. Seed representative API operations, agent paths, policies and known gaps from the reviewed source inventory. Mark entries as `baseline`, `source-only`, and live verification `not-run`. - Define the shared contract in `maps/README.md`. Track API presence, agent availability, policy, evidence and review depth separately. Require operation enumeration before marking a broad capability operation-reviewed. - Extend `maintain-verification-skill` to reconcile both maps and inspect actual route policy and production tool admission. Update creation, verification, notices and contributor references to use the shared contract. - Add `scripts/check-maps.mjs` and ten regression tests. Check matching areas/IDs, indexes, references, contract fields, API method/path examples, justified exceptions and evidence-state consistency. - Keep the coverage inventory unchanged. Preserve skill invocation policies and both MIT license blocks. No product API, permission, UI, runtime helper, migration, dependency or workflow changes. ## Verification - Passed: `node scripts/check-maps.mjs` reports 35 paired areas and 171 matching capability IDs. All local map references resolve. - Passed: `node --test scripts/check-maps.test.mjs` runs ten tests. Fixtures cover missing companions, renamed/orphan/duplicate IDs, broken references, missing operation fields, empty exceptions, missing API examples, empty policy fields, and verified evidence without passed verification. - Passed: metadata validation for all three verification skills. Skill and contributor links resolve. Invocation policies and both license blocks are unchanged. - Compared relocated recipes with current master. Contents differ only in relative links and companion links. `coverage.json` is byte-for-byte unchanged. Master's updated read-only interaction test reference is retained. - Passed: `git diff --check`. The branch starts from current master and contains only this contract change. - Repository-wide typecheck, tests and build were not run locally for this documentation and Node structural-check scope. Live agent access was not exercised. Those gaps are explicit in the baseline entries; the structural check does not certify behavior. CI and automated review are pending. ## Risks - The companions are representative source baselines. They are not complete operation inventories or passed agent journeys. - The checker cannot establish actual permissions, native tool admission, operation completeness or truthful live evidence. Maintenance must inspect source and verify with the actual permitted agent context. - External links to the old product-map directory may need updates. Repository references have been updated. - Existing access gaps and board/user restrictions remain recorded. This contract does not change authority or implement missing paths. ## Model Used OpenAI GPT-6 through Codex assisted with this change. The session does not expose the exact serving model ID, configured context-window size, or reasoning setting. Capabilities used: source analysis, file edits, shell commands, and structural regression tests. ## 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 - [ ] All Paperclip CI gates are green - [ ] 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> |