## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Human messages start agent work through task, chat, and external-channel intake. > - Agent startup can delay the first visible response. > - A small direct model call can acknowledge the request while normal work starts. > - This response must remain separate from evidence that the agent answered or completed work. > - This pull request adds optional company-wide fast responses with durable receipts, access checks, and cost accounting. > - Users receive prompt acknowledgement without changing the agent execution path. ## Linked Issues or Issue Description **Subsystem affected** Cross-cutting: database, shared contracts, server orchestration, connections, and UI. **Problem or motivation** Users can wait for an agent to start before they receive a contextual response. Generic progress messages do not confirm what the user asked. An acknowledgement must not falsely complete work or satisfy an unanswered turn. **Proposed solution** Add a disabled-by-default experimental fast-response model using an existing shared API connection. Generate one short acknowledgement for each accepted human turn. Use the existing agent identity and external publication outboxes. Retain platform provenance and account for the inference independently. **Alternatives considered** Running the acknowledgement through the agent runtime adds startup latency. Restricting implementation to OpenRouter leaves other existing API connections unsupported. This change supports all existing API connections and uses OpenRouter for live verification. **Roadmap alignment** This extends existing agent communication and connection settings. ROADMAP.md and open pull requests were checked. No duplicate fast-response implementation was found. The maintainer supplied the feature plan directly. ## What Changed - Add Experimental fast responses to instance settings. Keep the feature off by default. Enforce the flag at intake, dispatch, and publication. - Move Decision model and Fast response setup to company Settings → Connections when the experiment is enabled. Place Connections below Environments. Separate the model sections with clear headings and a divider. Keep Decision model in General when the experiment is off. Route Costs setup links to the available settings page. - Make the acknowledgement prompt a multiline template string. Ask for a brief, positive response in the user’s language. - Add settings, connection/model selection, sponsorship, fixed-sample testing, and Costs history. - Add a Vercel AI SDK text service for existing native, routed, Bedrock, and local API connections. - Add durable per-turn requests, a bounded worker, a three-second admission deadline, and one inference attempt. - Integrate task creation, task and agent chat, steering, queued follow-ups, experimental board chat, shared chat intake, and email. - Preserve receipt provenance and exclude receipts from completion, recovery, interaction resolution, and agent wakeups. - Recheck authorization, source validity, real replies, budgets, and destination binding before publication. Preserve accounting for suppressed or uncertain outcomes. - Add provider contracts, database race tests, channel outbox tests, UI tests, Stories, and documentation. Keep decision-model execution unchanged. ## Verification - Local `pnpm -r typecheck`, `pnpm build`, and UI token gates pass after rebase. The UI typecheck and build also pass after the final navigation fixes. All 37 focused navigation tests pass. The first full local `pnpm test:run` invocation reported seven chat failures. All seven passed in isolated reruns after fixture updates and host cleanup. This invocation was stopped after the full final-head CI suite passed. - Initial local database tests hit macOS shared-memory exhaustion. A diagnostic confirmed `shmget: No space left on device` with the system limit of 32 IDs. Three abandoned, unattached PostgreSQL IPC headers were reclaimed. The isolated rerun passed all 31 fast-response and channel tests. The two additional Slack regression cases also passed in a separate rerun. No active database was stopped. - UI token gates pass. Provider contract tests cover all supported API connection types. Fast-response tests cover uniqueness, authorization, budgets, expiry, cancellation, restart, real-reply races, and the experimental flag. - The test drive verified that disabling the experiment hides Connections and redirects its direct URL. Enabling it restores the saved OpenRouter setup. After restart on the final commit, the OpenRouter settings sample returned “Sure, I’ll take care of fixing the border around the settings panel.” in 428 ms. It used 260 input and 31 output tokens and recorded $0.0000576 in reported cost. - Earlier live OpenRouter verification produced a receipt in 1.013 seconds for a new task. The real agent then supplied its substantive answer. A separate settings test took 1.34 seconds, used 246 input and 23 output tokens, and recorded $0.0000361. - Live Slack verification on final commit `24016fa525961ebc7a4acffdc5019ce123970549` passed for a fresh initial task and a follow-up in a disposable bot DM. The initial acknowledgement appeared 2.405 seconds after the Slack message and 1.413 seconds after durable acceptance; the follow-up appeared in 2.322 seconds and 1.160 seconds respectively. The recorded generation/settlement durations were 898 ms and 697 ms. The initial call used 291 input / 39 output tokens and cost $0.00006705; the follow-up used 281 / 47 and cost $0.00007035. - The Slack acknowledgements retained the assigned agent identity and `origin: fast_response`, source-turn references, and no fabricated run ID. A status snapshot after the initial receipt showed the task still `in_progress` with its real execution run. The agent then read the CSV fixture and correctly reported two ready items, two blockers, and their owners. Both replies stayed in the originating DM, and no duplicate generic working message followed the delivered contextual acknowledgements. The `new` command started a fresh conversation session without generating a fast response. - An earlier eligible Slack turn generated a response but suppressed publication. Its reported cost was retained, generic progress remained, and the real agent completed the requested result. This is recorded separately from the two delivered acknowledgements; the history did not expose a precise suppression reason. - Slack verification used real signed provider events, the existing intake/publication paths, and a user-approved temporary webhook-only HTTPS tunnel. Subscriptions were limited to direct-message events. The test bot was paused and the tunnel stopped afterward. Live channel/group-thread and GitHub journeys remain unverified; their mocked tests cover intake, destination binding, publication, and continued underlying work. - Greptile reviewed final commit `24016fa525961ebc7a4acffdc5019ce123970549` at 5/5. Both new review findings are fixed and all threads are resolved. [Final-head CI run](https://github.com/paperclipai/paperclip/actions/runs/38060015730) passed. This includes grouped server/chat/workspace tests, serialized suites, runner checks, browser journeys, typecheck, build, release registry, policy, and the canary dry run. - Manual check: enable Experimental fast responses. Open company Settings → Connections. Select a shared API connection and model. Save and use Test response. Submit a task message and confirm that its receipt does not complete the task. ## Risks - The migration adds receipt and configuration tables plus accounting references. It uses idempotent statements and follows the current migration sequence. - A slow provider, authorization change, or real-agent reply can suppress an acknowledgement. Existing progress feedback remains available. - Unknown provider billing retains a reservation until reconciliation. External deliveries with uncertain outcomes must not be blindly repeated. - Live Slack initial-task and follow-up DM journeys pass. Live Slack channel/group-thread and GitHub journeys remain unverified. The PR remains a draft and records these gaps. Final-head repository CI and automated review pass. ## Model Used OpenAI Codex, based on GPT-6, with reasoning, repository tools, code execution, and browser interaction. The runtime does not expose an exact model snapshot ID or context-window size; these are not asserted. ## 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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Company fast responses
Fast response is an optional company service that acknowledges an accepted human turn while the assigned agent follows its normal execution path. It starts disabled. First enable Experimental fast responses in Company settings → Experimental; this reveals Connections below Environments and allows generation. Turning it off hides that page and suppresses new requests and pending delivery, while retaining settings, history, and recorded charges. Decision model setup remains accessible under General while the experiment is off. Configure a shared API connection and model in Company settings → Connections → Fast response, beside the decision model configuration. OpenRouter's recommended model is openai/gpt-oss-120b. Subscription accounts are ineligible.
The direct Vercel AI SDK service supports OpenAI Responses, Anthropic Messages, Google, xAI, OpenRouter, Bedrock, and connection-configured Responses, Messages, Chat Completions, and local endpoints. Routing, region, endpoint and authentication come from the saved connection. Model choices reuse existing catalogs; custom endpoints permit manual IDs. Decision-model execution is independent.
Allow company-sponsored fast responses defaults on. It covers accepted external senders without linked Paperclip users. A linked user must retain both task access and connection audience permission; denial never falls back to sponsorship. Connection management permissions govern settings, model selection and tests. Costs history uses company cost visibility, with task links checked separately.
Accepted turns and receipts
Task creation, task comments (including comments submitted with updates), persistent agent chat, steering and queued follow-ups enqueue at human acceptance boundaries. Shared external chat intake covers the existing Slack, GitHub and other chat connectors; email has its own authorization and publication adapter. Experimental board chat uses the same inference service.
The durable request is unique by (company_id, source_key). The worker runs at most eight pending requests per sweep, receives database work signals, and expires excess work. A claimed request is never regenerated after a restart. A stale claimed request becomes an unknown billing outcome with its reservation retained.
The visible acknowledgement is an ordinary attributed issue comment with server-owned origin = fast_response, a request reference and no heartbeat run. Its source turn is retained on the request. Message details explain its provenance. It must not settle a conversation, supersede an interaction, count as recovery progress, trigger an agent subscription, or inherit a worked-run summary. Agent context labels receipts and includes standing guidance to start substantive work without another generic acknowledgement. Receipt insertion does not steer or interrupt an active model.
Bounded generation and delivery
The prompt includes the current message, agent name, accepted/queued state, permitted task title, up to two prior visible turns, and attachment names/types only. External adapters supply only destination-authorized context; they do not copy the internal task history. The serialized prompt has a 4 KiB limit, dropping older turns first and marking a shortened current message. Instructions are sent as a system message, with conversation content as untrusted data.
Generation requests one sentence (two permitted), at most 256 output tokens and 320 visible characters. Optional reasoning is disabled or minimized where supported. There are no tools, agent runtime, repository access or SDK retries. Empty, overlong, truncated, question-shaped or unsafe formatted output is discarded. The prompt prohibits invented findings, completed-work claims, questions and ETAs, and distinguishes queued work from execution.
The deadline is three seconds from acceptance through publication admission. Access, configuration, source validity, assignment, pause/cancellation, conversation generation and real-agent replies are checked before admission and again before the comment/outbox is committed. Native visible text also suppresses obsolete receipts. Failure quietly preserves existing progress feedback.
External publication uses the existing sanitized outbox, exact originating endpoint/conversation, transport leases and final authorization checks. Published contextual receipts suppress subsequent generic queued/working notices for the same turn. Reactions and typing remain on their existing paths. Expired receipts are not posted; ambiguous external attempts stay subject to existing delivery reconciliation rather than being blindly retried.
Accounting and endpoints
Every dispatched attempt uses the existing accounting lock, budget checks, reservation and cost ledger with usageKind = fast_response. Settlement is idempotent and keeps actual charges even when output is suppressed. OpenRouter supplies reported costs. Direct OpenAI/Anthropic models covered by the repository's reviewed rate cards receive explicit estimates. Unsupported pricing and ambiguous network outcomes remain unpriced, never fabricated as zero; reservations remain held until billing reconciliation.
Costs → Fast responses shows connection, model, tokens, cost, timing, generation outcome and current publication outcome. Operational request rows contain identifiers and safe outcome codes, not prompts. Delivered comment text remains in conversation history.
Company-scoped endpoints under /api/companies/:companyId/fast-response:
| Method/path | Purpose |
|---|---|
GET / |
Settings, eligible shared connections, management capability |
PUT / |
Save enabled, connection/grant, model and sponsorship |
GET /models?connectionId=… |
Existing catalog or connection-configured models |
GET /availability |
Local authorization/connection availability, no inference |
POST /test |
Fixed border-styling sample; text, duration and usage; no conversation comment |
GET /history |
Metadata-only usage history with existing cost date/limit parameters |
Verification
Provider-contract tests use the real SDK adapters with mocked HTTP, including endpoint/auth/model/output/token/abort/error behavior. Database tests cover deduplication, simultaneous workers, provenance, completion isolation, revoked audience access, real-reply races, source mutation/deletion/cancellation/reassignment, retained charges and unknown billing. Stories cover configured, disabled, revoked, testing, timeout, result and mobile settings states.
Live OpenRouter latency, prompt quality and complete Paperclip/Slack/GitHub journeys are a separate evidence category. Passing contract tests does not establish those live results. Live verification requires an authorized OpenRouter connection and designated channel test destinations.