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505e1a5582 |
feat(cases): add persistent workflows with same-task agent handoffs (#16959)
## Thinking Path > - Paperclip manages AI agents and their work. > - An agent workflow needs persistent facts and a safe way to transfer work. > - Creating a task for each phase splits the objective, discussion, workspace, and review policy. > - A case can retain the facts while one primary task moves between agents. > - Transfers must survive process failure and preserve private access, budgets, and completion gates. > - This pull request adds durable case handoffs, native case tools, and read-only case pages. > - Prompts describe the workflow. Existing task controls decide when work can run and finish. ## Linked Issues or Issue Description **Problem or motivation** Prompt-driven agent teams need a persistent record that can move through triage, implementation, verification, and correction. Ordinary reassignment does not provide a durable instruction, safe release barrier, or recoverable delivery receipt for an agent handing off its own running task. **Proposed solution** Extend standalone cases with one primary task, a descriptive phase, retained access sources, and a handoff ledger. Apply assignments after source execution and workspace settlement. Deliver each transfer through the existing durable wake queue. Provide `create_case`, `read_case`, `update_case`, and `handoff_case` in the native runner. Creation requires kickoff and explicit workflow text. An explicit handoff to `done` closes the case when normal task completion is accepted. **Alternatives considered** Do not add a workflow engine, filesystem queue, configured state graph, or one task per phase. The workflow document combines transition prose with an optional Mermaid `stateDiagram-v2` map. The server does not execute the diagram. The Pipelines experiment removed on master stays removed. **Roadmap alignment** This extends Agent Reviews and Approvals, Enforced Outcomes, Bounded Run Recovery, and Activity Log attribution. Existing approval, review, budget, privacy, workspace, and responsible-user rules remain authoritative. Related work: [ordinary handoff wake recovery](https://github.com/paperclipai/paperclip/pull/15019). This feature adds a separate persisted case-handoff receipt and release barrier. ## What Changed - Add case routing fields, retained access sources, durable handoff history, delivery leases, and replay-safe migrations. - Keep the same primary task across agent phases. Preserve each returning agent's own session and the task's workspace. - Fence outgoing mutations, wait for provider and workspace release, and recover delivery without duplicate task comments or runs. Recheck current assignment permissions as the original caller before applying a delayed transfer. Scope a run Stop to that run’s own handoff intents, so repeated old Stop requests preserve newer work. Cancelling terminal intent without a source run also requires fenced current task ownership, including native retries and preparation with an old checkout. For Cloud callers, revalidate current stack membership with an uncached Cloud RPC and derive owner elevation from the current managed setting. - Keep case reads, documents, assets, Audit, and live events inside retained task/project permissions. - Add native case creation/read/update/handoff tools. Store required workflow text and initial documents on the first task. Page oversized case facts and referenced document bodies through the dedicated tool with bounded UTF-8 JSON, current routing versions, snapshot conflicts, and current source authorization on every page. - Add read-only case lists and detail pages, task-style list controls, compact dotted field tables, linked handoff tasks, and case filters in Audit. - Add native/legacy integration tests, migration/restart tests, browser coverage, and bounded live receipt fixtures. Extend the trusted sandbox condition to cover the new subscription fixture profile. - Hide obsolete paused-agent warnings on completed or cancelled task threads. - Synchronize the company-switch settings test with React effects after a CI failure. Preserve its security assertions and production remount behavior. ## Verification The branch directly includes master `9ef434fe79`. The required `ci / verify` and `ci / e2e` gates pass on head `765fccd67c`. [Current-head CI](https://github.com/paperclipai/paperclip/actions/runs/39464348614) passes typecheck, build, tests, and all eight browser shards. Security checks pass. [Greptile gives this exact head 5/5](https://github.com/paperclipai/paperclip/pull/16959#issuecomment-6291156549), with no unresolved review threads. The optional Paperclip Review check remains queued because its assigned agent is paused. It is not a required branch check. No check result was overridden. Local workspace typecheck and build pass after the master merge, along with database migration checks, token gates, map checks, Storybook catalog checks, and the Copilot profile identity check. Standard builds refresh Runner vendor output. Focused checks pass 2,008 API/paging/context tests and 7 strict case protocol tests. The final commit changes one test fixture only; its ten tests, UI typecheck, and token gates pass. No production source changed in that commit. On current head `765fccd67c`, all **194 critical workflow tests** executed and passed with no skipped tests in those files: - 38 Stop/ownership tests, including board completion intent, native retries, stale Stop, and preparation with an old checkout. - 2 actual legacy process/HTTP handoff tests, including scratch failure, a closed-stdio child that continues writing, and recovery through a fresh worker after the process group stops. - 5 migration tests, including SQL column metadata, preserved null authority context, and all six prior-numbering receipts. - 3 process-settlement and 5 scratch tests. - 88 handoff-service, 18 heartbeat handoff, and 21 native case-tool integration tests. - 7 bounded case/document-read projection tests and 7 strict protocol-contract tests. The current CI checkout was `fed65d49`, merging `765fccd67c` into master `9ef434fe79`. Its new document regressions reconstruct exact Unicode/escaped bodies and revisions through real native authority and authenticated HTTP with generic API tools disabled. They cover case-owned, primary-task, and linked-task documents; routing on every page; stale document snapshots; access loss and unlinking; unrelated/foreign/private sources; system documents; and quarantined content. Active-task document tools retain their existing behavior. These are current-head test results from the first CI attempt; the browser-only retry did not rerun these suites. The full `64fdd3403f` CI failed one separate settings test: after a company switch, it observed an unsettled API-key draft. The production component and test were unchanged from prior green source. Production switches remount both keyed settings layers; the test directly reused an unkeyed view and used a timer tick instead of waiting for React effects. The final commit replaces that fixture synchronization with React `act`. The exact secret-clearing assertions and all timeouts remain unchanged. The original assertion failure remains recorded; no unchanged retry was used. The narrow unchanged baseline and fixed fixture each pass 10 tests. The upstream result-paging merge preserves case capture namespaces and current asset privacy. Its API integration suite executed 39 of 41 tests successfully, with two skipped; the optional assigned-result PRP integration test was skipped. Neither skipped suite is counted in the 194 critical tests or as live provider proof. All 361 upstream migration entries and SQL bodies remain unchanged. Six case migrations follow master as 0363–0368 with identical SQL hashes. Official Drizzle generators produced the combined metadata and five retained snapshots. Generation reports no schema changes, and the snapshot drift test passes. The earlier `ce361ae5d0` CI passed on attempt 1, including its then-current 179 critical tests. Fresh review later identified unusable document references with generic API tools disabled; the bounded document reads and ten additional authenticated HTTP tests address that finding. The full local `pnpm test:run` attempt was cancelled after this Mac exhausted PostgreSQL semaphore capacity; it is **not** counted as a pass. Later database attempts also stopped before assertions or skipped, including one sandbox socket denial. Two original stale-Stop regressions did reproduce the bug against the old source. A REST serialization assertion passed after two preserved database-startup failures. No test timeout was increased. All 194 assertions listed above executed and passed in current-head CI. The complete 385-file, 3,963-test UI shard also passed after the fixture repair. A configured-provider receipt workflow passed 13 backend checks across triage → implementation → verification → correction → done, using one task and four work runs. The saved receipt is revision 2 with total 6 USD; case and task both closed. The original canonical attempt remains failed because its browser assertion confused the terminal destination with completed-task tooltips. The corrected full browser verifier passed on the same retained database and original runs, with no additional provider calls. The last clean-build browser readback is on `6a86c54a53`; later changes affect recovery, authorization, bounded reads, and settlement. Accounted work cost is a $1.010574 rate-card estimate; provider billing and setup-probe usage are unavailable. Copilot profile 49 passed the unchanged seven-fixture private protocol pack (46/46 checks, no retries) and the product file-edit canary after master's completion-replay change. All 60 bound implementation hashes remain unchanged on the current source. Historical profile-47/48 identities and results remain intact. See the [profile-49 compatibility record](https://github.com/paperclipai/paperclip/blob/codex/persistent-case-handoffs/doc/plans/2026-10-20-copilot-completion-recovery-compatibility-v49.json). This is bounded compatibility evidence, not a fresh full matrix, installed-package product test, or Daytona rollout. Preserved CI failures and retries: - On `20662930ac`, Slack managed setup failed a five-second success assertion after reload. Its test/application path was unchanged from a prior green head. One unchanged-source retry passed all 25 tests in that shard; no source or timeout changed. - On `9402b4f17a`, two CI workers received shutdown signals at 15:24:19 UTC. Neither log had an assertion failure before interruption. One unchanged-source retry of each passed all Runner static checks and all 32 tests in browser shard 6; both aggregates passed. The next head, `7b4374edaf`, passed all CI without retries. - On `295f289b5a`, serialized shard 9 timed out during its first device-login test, then the next test found an active login lease. Direct login/test paths were unchanged from a prior green head. Cold import plus a timed-out async body using the next test's mutable actor/store is the supported fixture-race explanation; no request trace proves that sequence. The original failure remains recorded. One unchanged-source retry passed all 294 tests in 19 files, including all 41 device-login tests. No login source or timeout changed. The subsequent `ce361ae5d0` CI passed without retries. - On `64fdd3403f`, one company-switch settings assertion observed an unsettled draft. The final test-only commit uses React `act` without changing assertions, timeouts, or production code. On `765fccd67c`, all ten settings tests and the complete 385-file, 3,963-test UI shard passed. - On `765fccd67c`, browser shard 3 completed the split-handoff assertions, then cleanup received HTTP 500 from run cancellation after a one-second PostgreSQL row-lock timeout. The extra chat run was reporting completed work while teardown began. Cleanup stopped before restoring a global experiment flag, causing a later assertion to fail. Relevant production and test paths are unchanged from an earlier green commit. Stop's lock order is consistent, and no nested self-lock was found; the exact PostgreSQL blocker was not recorded. One unchanged-shard retry passed. The original failure, trace, and downstream flag failure remain recorded. No Stop implementation, cleanup assertion, or timeout changed. The retry supports intermittent cleanup contention; it does not identify the original blocking transaction. ## Risks - Local process transfers require host-owned PID/group absence. Missing or uncertain termination evidence keeps delivery pending, independently of scratch setup. - Handoff admission and task cancellation share execution ownership. New regression tests cover temporary holds, late source writes, and uncertain provider termination. - Retained private sources use an intersection of existing permissions. This intentionally fails closed when a source is missing or an existing task cannot preserve that boundary. - Migrations add tables and indexes. They preserve master history and can replay over prior feature installs. Migration 0368 adds nullable internal authorization provenance with no default or authority backfill. Historical transfers still awaiting release without this context fail closed; an operator must cancel them and request a new handoff. - Delayed Cloud handoffs depend on the current Cloud membership RPC. An unavailable, ambiguous, expired, or mismatched response holds the handoff for retry; it does not reuse cached authority or grant access. - Bounded reads reload and reauthorize the selected projection per page. Underlying work grows with the data size and number of pages. Changed data or routing requires restarting from offset zero without the old snapshot. - Phase names and workflow diagrams remain advisory. They do not satisfy review or approval gates. - This is a large, cross-cutting PR. The maintainer requested one PR for the whole feature; the commits separate data, runtime, UI, and qualification work. ## Model Used OpenAI Codex, GPT-6 family, with tool use, code execution, and delegated code review. The exact deployment model ID and context-window size were not exposed in the session. Live fixture agents used the explicitly configured provider model recorded in their test evidence. ## 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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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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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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3447609d22 |
fix(runner): stream and page large API responses within capture budgets (#14301)
## Thinking Path
> - Paperclip is the open source app people use to manage AI agents for
work.
> - Agents use governed API tools to inspect task evidence.
> - Large API results become saved assets with short previews.
> - Reading an asset through the same tool used to create another asset,
so the agent could not reach the rest of the evidence.
> - The 10 MiB response cap also blocked useful large results. Removing
all bounds allowed excessive disk use.
> - This pull request streams responses up to 1 GiB and makes saved text
readable in bounded pages. It adds durable run budgets and capture
admission limits.
> - Agents can inspect complete evidence while tool results, memory use,
and capture work stay bounded.
## Linked Issues or Issue Description
**What happened?**
A large response became an asset. Reading that asset returned another
asset and the same preview. Responses above 10 MiB failed before the
agent could read any page.
**Expected behavior**
The agent can fetch a large response and read its saved text to EOF.
Each page stays bounded. New snapshots have a generous finite limit and
a durable run budget. Existing larger assets remain readable through
byte ranges.
**Steps to reproduce**
1. Call a GET operation that returns more than 10 MiB of text or JSON.
2. Before the fix, the tool returns `api_transport_failure`.
3. With this change, responses up to 1 GiB become streamed snapshots
with artifact references.
4. Read `GET /api/assets/{assetId}/content` with `responseText:
{offsetBytes: 0, limitBytes: 8192}`. Follow `nextOffsetBytes` until
null.
Related work: #14186 added the API fallback tools. #14218 bounded API
discovery.
## What Changed
- Add authenticated UTF-8 text windows to `call_api`, with byte offsets
and total size. Keep each page at or below 24 KiB.
- Stream new responses above 24 KiB through private temporary files into
company-owned assets. Bound each capture to 1 GiB of decoded bytes.
Reject oversized declared lengths before reading and count streamed
bytes before writing.
- Reserve capture budget in the run record before spilling. Allow 4 GiB
per run. Settle successful captures to their actual size. Failed or
interrupted captures retain their full 1 GiB reservation. Run restarts
do not reset the budget.
- Enforce a 20 GiB company snapshot quota with database reservations.
Count legacy snapshots and unfinished storage work across runs and
processes. Asset deletion frees quota.
- Limit large captures to two per company and four per server process.
Hold slots through storage upload and temporary-file cleanup. Use a
10-minute download deadline and 30-second connection/idle-read timeouts.
- Return explicit size, budget, busy, and timeout errors. Preserve
unknown outcomes for mutations whose response cannot be captured.
- Read saved assets through authenticated storage ranges, with at most
two extra bytes for UTF-8 and EOF handling. Unpaged reads return the
existing asset and digest with a bounded preview. Reads create no copies
and do not consume capture budget.
- Keep existing assets above 1 GiB readable in pages. Use safe integer
offsets and PostgreSQL `bigint` asset sizes.
- Stream large S3 uploads through ordered multipart requests. Abort
failed uploads and remove partial local files.
- Revalidate run authority during downloads. Keep company authorization,
GET-only text paging, redirect denial, and mutation replay receipts.
- Document the separate 10 MiB upload limits. This PR does not raise
memory-buffered attachment ingestion limits. Future large video uploads
need streamed ingestion and storage quotas.
## Verification
- Full workspace `pnpm -r typecheck` and `pnpm build` pass after
rebasing on master.
- Focused API and response tests: 1,761 pass. Cover declared and chunked
oversize responses, incorrect Content-Length, exact-limit success,
active-stream deadline, cancellation, cleanup, concurrency admission,
and mutation outcome handling.
- Real HTTP integration: 28 tests pass, including runnerd → PRP →
authority → HTTP, a 12 MiB snapshot, final-page/EOF reads, cross-company
denial, a persisted 3 GiB sparse asset, and large mutation receipt
replay.
- The HTTP suite verifies durable run-budget accounting, simultaneous
runs competing for company quota, legacy snapshot accounting, deletion
refunds, failed-storage reservations, cleaned-failure refunds,
metadata-rollback cleanup refunds, preservation after a lost commit
acknowledgement, and small/saved reads after capture-budget exhaustion.
- A standalone proof streams exactly 1 GiB through the production
capture helper, verifies the final bytes, and removes its temporary
file. It uses repeated 256 KiB chunks and records a peak process RSS of
191 MiB.
- Earlier storage verification covers exact S3 multipart boundaries,
cleanup/abort failures, and a 17 MiB transfer through the real AWS SDK
to a local HTTP S3 endpoint. No cloud S3 qualification was run for this
follow-up.
- The local full test run was interrupted for the company-quota changes.
A later targeted run hit exhausted macOS shared-memory slots before
tests started; two unattached PostgreSQL segments with dead owners were
reclaimed before retrying. All 55 current-head checks pass at
`aebb80ceeeee77d5a56b67bfffd835f2f846878c`, including the full CI test
suite, typecheck, build, browser suites, security scan, and Greptile
(5/5). There are no unresolved review threads. The combined rebased test
catalog also passes (48 tests).
- Earlier paging acceptance passed Daytona and separate staging at
`7739879e9`. Those runs predate the streaming and budget changes.
## Risks
- The 1 GiB response cap and 10-minute active-download deadline are
intentional product limits. Larger live results must use endpoint
pagination or a direct file workflow. Existing larger assets remain
readable through bounded ranges.
- A durable 20 GiB company snapshot quota counts stored runner-api
assets and active/orphan reservations across runs and processes. The
operator can set PAPERCLIP_RUNNER_API_COMPANY_CAPTURE_MAX_BYTES to a
finite value of at least 1 GiB. Deleting snapshots frees capacity;
possible orphan storage must be reconciled before releasing its
reservation.
- A failed capture uses its full reservation. A new large capture needs
a full 1 GiB available, even if it later completes at a smaller size.
Small reads and existing asset pages remain available.
- Concurrency limits apply per server process. The run byte budget is
shared through the database.
- The `integer` to `bigint` migration rewrites asset metadata and takes
an exclusive table lock. File bytes stay in storage.
- A live endpoint is fetched once before returning its snapshot.
Continue reading the saved artifact for stable pages. Mutations may
commit before any size or transport error; inspect state before
retrying.
- Attachment uploads and native file handoffs still default to 10 MiB.
Raising buffered ingestion paths to GiB sizes is separate work.
## Model Used
OpenAI Codex, based on GPT-6, with code execution and repository tools.
The runtime does not expose an exact serving model variant or
context-window size. The earlier paging work also used browser testing
and subagents.
## 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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5bddff0920 |
feat(runner): add guarded API search and call fallback (#13003)
## Thinking Path > - Paperclip manages AI agents and their work. > - The new runner gives agents dedicated tools for common tasks. > - Some API operations and parameters have no dedicated tool. > - Agents need a controlled way to find and use those operations. > - This pull request adds API search and calls through the real server routes. > - Existing tools remain the preferred path. The new tools are disabled by default. > - Paired tests measure correctness, tool choice, cost and time. ## Linked Issues or Issue Description **Subsystem affected** Paperclip Runner contracts, production tool authority and the server API catalog. **Problem or motivation** The runner cannot use much of the API described by the old Paperclip skill. A generic HTTP client would also let agents bypass runner control rules. **Proposed solution** Add `search_api` and `call_api`. Resolve calls from the mounted API catalog. Use server-held, run-bound credentials. Preserve route checks and runner lifecycle rules. Keep the tools disabled until an operator enables selected companies. **Alternatives considered** A dedicated tool for every endpoint would add a large initial prompt. An unrestricted HTTP tool would weaken authorization and replay controls. **Roadmap alignment** This extends the native runner tooling. The repository owner requested this design and implementation. The roadmap and related open PRs were checked. No duplicate API escape-hatch PR was found. ## What Changed - Register two compact fallback tools in canonical contracts and provider projections. - Build deterministic API discovery from OpenAPI, mounted experimental routes and the old skill reference. - Execute bounded JSON, text, file and download requests through authenticated HTTP routes. - Recheck active runs, company access and work modes. Block runner lifecycle, scheduling, credential and approval bypasses. Keep routine annotation collaboration available. - Retain mutation receipts. Report uncertain outcomes without blindly repeating writes. - Add a company rollout gate and a durable eval worker with complete cost accounting checks. - Record child-task creation in the activity log with the agent and run. - Add contract, authorization, file, replay and real runnerd/PRP/HTTP tests. - Document rollout gates and paid coverage limits. The companion eval repository retains immutable attempts and reports. ## Verification - Final app commit `da58370524c3626a744eec20164397c5fb6ba9ef`: all 32 checks passed; the unrelated Storybook visual check was skipped. Greptile 5/5; no unresolved review threads. - Full Linux build and recursive typecheck passed. Repository tests were run by project and serialized shard; all 143 serialized server suites passed. - Runner TypeScript: 1,599 passed, two skipped. Rust release: 451 passing test reports. Conformance and replay parity passed. The required API check passed 837 tests, including runnerd → PRP → authority → real HTTP. - Bindings cannot enable API tools without the explicit deployment flag. Unit and real-authority tests prove the default-off boundary. - The standalone API check builds and stages its own binary. It passed after existing staged and debug binaries were removed from the test container. - UI and CLI tests passed. Initial environment failures (missing jq, Docker overlay file identity, and parallel linker memory pressure) and focused passing reruns are retained. The macOS full runner suite has platform-specific failures; Linux is the qualified full-check platform. - Eval harness: 27 tests passed; existing CI discovery ran 86 tests with two unrelated skips. Credential export rejection is tested against the actual report command. - Luna and OpenRouter Sonnet each passed 60 common-workflow runs: ten workflows, three repetitions per arm, zero unnecessary API fallback. - Sonnet passed 11 selected capability/contract cases after fixes. Gemini passed three smoke cases. DeepSeek exceeded the 120-second limit and remains unqualified. - Luna's two cost flags received focused follow-up. The original flags and a later n=1 latency flag remain visible. Sonnet had no cost or latency increase above 20%. - The catalog contains 785 entries; 58 were exercised across all stages. Most operation probes remain unrun and some need additional fixtures. Authored probes do not establish successful coverage. - Total conservative accounted cost: $9.875960. Active paid-campaign time: 88.16/90 minutes. No missing accounting. Later security and harness fixes have provider-free verification; no paid validation is claimed for those revisions. - Inspect the [qualification report](https://github.com/paperclipai/paperclip-evals/blob/codex/seach-call-api-tools/evals/runner-api-tools/reports/2026-09-07-production/READINESS.md) and [verification record](https://github.com/paperclipai/paperclip-evals/blob/codex/seach-call-api-tools/evals/runner-api-tools/reports/2026-09-07-production/verification.json). ## Risks - This is a broad authenticated API surface. Keep the default-off gate until an operator selects initial rollout companies. - Paid coverage is incomplete. Small regression samples do not prove all workflows are unchanged. - A timeout or server failure can follow a committed mutation. The result reports an unknown outcome and requires state inspection. - The new definitions add prompt tokens. The report retains cost flags and cache variation. - No database migration is required. - Repository rules require code-owner approval before merge. Technical CI and automated review are complete. ## Model Used OpenAI Codex based on GPT-6 assisted with code, tests and review. The exact serving model ID and context window are not exposed in this session. It used reasoning, tool calls and code execution. Eval models: `gpt-5.6-luna` with low reasoning, `openrouter/anthropic/claude-sonnet-5`, `openrouter/google/gemini-3.8-flash`, and `openrouter/deepseek/deepseek-v4-flash-0731`. Attempts retain runtime versions, model identity, usage and source provenance. ## 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> |