mirror of
https://github.com/paperclipai/paperclip.git
synced 2026-10-06 10:48:12 +02:00
master
4
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 DottaandPaperclip
|
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>
|
||
|
DottaandPaperclip
|
f2ed0b65c4 |
fix(runner): enable API tools by default (#14186)
## Thinking Path
> - Paperclip is the open source app people use to manage AI agents for
work.
> - The native runner exposes tools for company tasks.
> - API search and call tools cover operations without a dedicated tool.
> - The current default hides these tools unless an operator sets an
environment variable.
> - This pull request enables the tools when that variable is absent.
> - Operators can still disable the tools or restrict them to selected
companies.
## Linked Issues or Issue Description
Refs #13003, which added the guarded API tools.
**What happened?**
The native runner does not advertise `search_api` or `call_api` with the
default server configuration.
**Expected behavior**
The tools are available without a special environment variable. Existing
authorization checks still apply.
**Steps to reproduce**
Remove `PAPERCLIP_RUNNER_API_TOOLS_ENABLED` and
`PAPERCLIP_RUNNER_API_TOOLS_COMPANY_IDS`. Create a normal runner
authority. Inspect its tool definitions.
**Paperclip version or commit**
|
||
|
DottaandPaperclip
|
f912ecaacf |
fix: carry AI connections through hiring and unblock task execution (#13438)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Agents hire other agents and assign tasks to them. > - Managed AI connections must follow those hires across legacy and native runners. > - Missing accounts should pause task execution and let the user connect from the task. > - Subscription contention must wait without asking for new credentials. > - This pull request fixes these paths and the native tool and Daytona staging failures found during live tests. > - The result is a working hire, subtask, and connection setup flow on local and remote runners. ## Linked Issues or Issue Description **What happened?** A managed Claude or Codex agent could hire a teammate without a usable AI binding. Cross-provider hiring could fail before the user had a chance to connect the new provider. First-time task setup did not show the existing AI credential form inline. A busy subscription could request a new connection. Native API replies could stop the parent after a hire had already committed. Fresh Daytona sandboxes could fail to extract read-only skill directories created on macOS. **Expected behavior** Compatible hires inherit the managed connection choice. A hire for another provider uses the responsible user's default. If that account is missing, the hire succeeds and the task asks for a connection. Completing setup in the task resumes work automatically. Explicit child auth settings and existing unmanaged login paths keep precedence. Shared-account access checks remain in force. **Steps to reproduce** 1. Connect a Claude or Codex parent with a managed AI account. 2. Ask it to hire one agent of each provider and create a self-assigned subtask. 3. Assign work to both hires without connecting the second provider first. 4. Connect the missing provider from its task card. 5. Check that all tasks finish and same-provider work uses the original account. 6. Repeat with native runners and fresh Daytona sandboxes. The opt-in browser suite in `tests/hiring-ai-connections/README.md` performs these steps. **Paperclip version or commit** The live failures were reproduced from `f2c5e54dc`. The branch is rebased onto `5282cabde`. **Deployment mode** Isolated local development instance. Legacy CLI and native runners. Local execution and ephemeral Daytona sandboxes. Related work: Refs #13247 for managed AI connections. Refs #13268 for legacy credential-reference inheritance, which this branch preserves. Refs #13432 for a concurrent managed-inheritance fix. This PR also covers cross-provider task setup, subscription waits, native API replies, and Daytona extraction. It permits missing responsible-user defaults at hire time; restricted shared selections still fail. ## What Changed - Apply managed connection defaults to both agent creation routes. Preserve explicit auth choices and legacy credential-reference inheritance. - Allow hires before their responsible user connects the provider. Keep approval gates, company boundaries, and shared-account access checks. - Reuse the production AI credential form inside the pending task card. Resume the task after setup. - Retry subscription lease contention without consuming the provider-failure allowance or creating a connection request. - Require task execution-lock ownership when scheduling, promoting, and dispatching subscription retries. Recheck ownership under the issue row lock. - Rename the HTTP operation identity at the native tool boundary so it cannot override the runner's operation identity. - Delay directory permission restoration during Daytona extraction. Preserve the final read-only modes. - Add database-backed regressions, real browser acceptance tests, and Storybook states. Document setup and run-log behavior. ## Verification - Six real browser scenarios passed: both parent providers on legacy local and legacy Daytona; native Codex locally; native Claude on Daytona. Each scenario hires both providers, completes a self-subtask and assigned work, and connects the missing provider inline with automatic continuation. - Successful runs verify the account, responsible user, runner mode, and Daytona lease. All 18 test sandboxes were deleted. - Live authentication used API keys. Subscription inheritance, lease contention, and retry have integration coverage. Fresh subscription OAuth sign-in was not automated. - Red/green tests reproduced missing bindings, missing inline forms, subscription contention, native API reply failure, and GNU tar permission failure. - Seven Storybook browser checks passed. They cover both providers, method selection, narrow layout, completion, cancellation, and invalid credentials. - Full local suite coverage completed before rebase. Initial timing and fixture startup failures passed unchanged on isolated reruns. The first full command did not exit cleanly; the remaining workspace and serialized groups were completed separately. - After rebase, 107 hiring/auth/retry tests and 59 native API, task-card, and Daytona tests passed. The full workspace typecheck, production build, and token gates passed again. Storybook build passed before rebase. - Review fixes: 169 hiring/retry/dispatch tests, 37 adjacent tests, and four explicit cancellation-race cases passed. Eight cross-provider cases cover stale auth keys on both creation routes and both runner types. Server typecheck and build passed. - Final CI on `ee4890837a8a4913e07453392b9a75969580dae1`: 32 checks passed. Two optional Storybook jobs were skipped. The full server, workspace, browser, native runner, build, typecheck, and release checks passed. - Three unchanged tests initially failed on a busy port, a chat row-lock race, and preview-server readiness. Each affected job passed after one CI rerun. Isolated local checks also passed: 41 credential tests, the chat-concurrency case, and 25 preview-runtime tests. - Greptile reviewed the final commit at 5/5. Both review threads are resolved. GitHub reports no merge conflicts. ## Risks - A missing personal account now defers authentication to the first task. Explicit incompatible bindings and restricted shared accounts still fail at hire time. - An inherited personal default uses the responsible user's existing authorization to install access for the new agent. It never copies credentials or another user's identity. - Subscription contention retries after a delay and rechecks task eligibility. It does not consume the provider-failure budget. - Native hiring uses the existing managed API-tools opt-in. Remote native runners require a matching Linux binary and provider pack, as documented in the acceptance README. - No schema changes. Live tests make paid provider calls and remain opt-in. ## Model Used OpenAI GPT-6 (`gpt-6-astra`) in Codex, with reasoning, repository inspection, code execution, browser automation, and API tools. The context-window size is 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> |
||
|
DottaandPaperclip
|
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> |