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Author SHA1 Message Date
DottaandPaperclip ab15aff390 feat: add experimental persistent agent chat (#13284)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work.
> - Conversations must use the same tasks, controls, and execution
history.
> - Users need an ongoing chat with an agent without managing task
properties.
> - Agents should clarify and plan work, then hand execution to assigned
project tasks.
> - This pull request combines the reviewed Agent Chat stack for one
squash merge.
> - The benefit is persistent conversation with normal task governance
and shared UI.

## Linked Issues or Issue Description

**Subsystem affected**

Task lifecycle, agent runtime tools, shared task UI, and browser/paid
runner tests.

**Problem or motivation**

Users need one persistent conversation with each agent. A separate chat
store or renderer would duplicate task behavior and bypass existing
controls.

**Proposed solution**

Use a task-backed chat per company, user, and agent. Reuse the task
composer and transcript. Clarify and plan in chat, then create assigned
project tasks with the relevant plan. Keep Agent Chat behind its own
disabled-by-default experimental setting.

**Roadmap alignment**

This implements the task-backed direction in [CEO
Chat](https://github.com/paperclipai/paperclip/blob/master/ROADMAP.md#-ceo-chat).
Related proposals: #2504 and #9693. Related request: #7981. The
maintainer requested one squash merge of the complete stack.

Consolidates the reviewed runtime
[#13281](https://github.com/paperclipai/paperclip/pull/13281), backend
[#13282](https://github.com/paperclipai/paperclip/pull/13282), and UI
[#13283](https://github.com/paperclipai/paperclip/pull/13283) layers
with this PR's E2E coverage. All four layers passed CI and received
Greptile 5/5 before consolidation. This PR targets master and includes
the complete feature.

## What Changed

- Add personal canonical chat tasks with ordinary company visibility,
immutable identity, idempotent first sends, and an idle waiting state.
- Process `/new` in queue order. Preserve history, release a chat pause,
and fence old provider context and delayed writes.
- Keep chat lifecycle rules across recovery, finalization, assignment,
task lists, and rollups.
- Support research and plan revision in chat. Hand plans to ordinary
assigned project tasks before execution starts. Reject new chat
subtasks.
- Add repository-aware project creation and discovery tools, including
multiple repository IDs and GitHub URLs, authorization, idempotency, and
durable project-created cards.
- Reuse task UI components for chat, with starred/recent agent
navigation and a separate `enableAgentChat` experimental flag.
- Add deterministic browser tests and 24 paid chat cells across four
Codex/Claude profiles, with validated reports and screenshots.
- Integrate current master recovery, controller lease, queued-message,
and task UI changes. Gate chat interruption and deferred promotion on
ownership/feature policy. Guarantee lease renewal and active controls
are stopped even if teardown fails.
- Preserve master's migration 0273 and generate chat migration 0274 with
idempotent replay for development databases.

## Verification

- Prior exact heads of all four PRs passed Linux CI, including build,
typecheck, general/serialized tests, and browser E2E. Each had Greptile
5/5 and no unresolved findings.
- Integrated local verification passed: full repository typecheck and
production build, Storybook build, token gates, 340 focused UI tests,
all 20 deterministic chat browser tests, two migration replay tests, 88
focused chat/queue/native/controller tests, and provider/session
regressions including real lease expiry. These include the three
lifecycle regressions for the final admission/teardown fixes; server
typecheck also passes. Current head
`1268eda16cc2af892055917e7292f068820be135` has Greptile 5/5 with no
unresolved findings and passing security scans. All final-head CI gates
passed: build, full Runner verification, typecheck/release registry,
canary, all general/serialized test shards, and all browser E2E shards
([CI
run](https://github.com/paperclipai/paperclip/actions/runs/34696739927)).
Local PostgreSQL startup contention required serialized retries; skipped
fixtures do not count as passing coverage.
- The earlier paid campaign passed all 24 chat cells and retained 32
screenshots:
[report](https://d1p6rlowie26tp.cloudfront.net/runner-e2e/campaigns/gha-34648511170-1/index.html?report=agent-chat#suite-agent-chat).
It tested `abacbdfd2f660709ec37312cdb758284c8399d04`; it is prior
evidence, not a paid run of this integrated head.
- Manual check: enable Agent Chat in Experimental settings, open an
agent, clarify and revise a plan, then hand off to an assigned project
task. Stop a reply, send `/new`, and verify fresh context with retained
history. Disable the setting and verify agent shortcuts/new chat turns
are blocked.

## Risks

- Queue/session integration can affect retries and delayed writes. Tests
cover ownership, cancellation, reset boundaries, idle recovery, and
ordinary task behavior.
- Migration 0274 adds conversation fields and constraints. Replay is
idempotent and preserves existing development chat history.
- This combines the previously reviewed stack at the maintainer's
request. Agent Chat remains off by default and is separate from
Conference Room.

## Model Used

OpenAI Codex, GPT-6 Astra (`gpt-6-astra`), with reasoning, code
execution, browser tools, and parallel review. The exact context-window
size is not exposed in this session. Codex and Claude also ran as test
subjects in the linked paid campaign.

## 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>
2026-09-12 08:56:04 -05:00
DottaandPaperclip 8f0c1d4548 feat(cli): add isolated test-drive command (#12894)
Add a foreground-only test-drive workflow with isolated data, provider-backed CEO bootstrap, OpenCode/OpenRouter support, worktree execution setup, reuse safeguards, and delayed browser opening.

Co-Authored-By: Paperclip <noreply@paperclip.ing>
2026-09-05 09:33:38 -05:00
DottaandPaperclip a9d0927fe8 fix(adapters): restore Paperclip skill for legacy runners (#12225)
<!-- Write all pull request text in Simplified Technical English
(ASD-STE100): short sentences, one instruction per sentence, simple
approved vocabulary, and the active voice. -->

## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work.
> - Legacy local adapters run agents that use the Paperclip skill for
the control-plane workflow.
> - PR #7029 removed the required-skill fallback and made runtime skill
selection depend only on stored preferences.
> - No migration or runtime fallback replaced that behavior for existing
agents or non-CEO agents.
> - PR #12138 added core skills to new CEOs, and PR #12147 added Claude
skill discovery. These changes did not mount the operational skill for
all legacy agents.
> - This pull request makes the operational skill a legacy adapter
runtime invariant. It keeps all other skills configurable.
> - The native runner stays unchanged because its protocol supplies the
control-plane contract.
> - The benefit is that new and existing legacy agents can always
operate through Paperclip.

## Linked Issues or Issue Description

Refs #7029

Refs #12138

Refs #12147

**What happened?**

A skill-capable legacy local agent could start without
`paperclipai/paperclip/paperclip`. This happened when the agent had no
stored skill preference. An explicit empty preference also removed the
skill. The agent then reported that the Paperclip skill was not
available.

**Expected behavior**

Every skill-capable legacy local adapter must mount the Paperclip
operational skill when the runtime inventory contains it. Optional
skills must remain configurable. The native runner must keep its current
protocol-based behavior.

**Steps to reproduce**

1. Create a non-CEO `codex_local` agent without `paperclipSkillSync`
preferences.
2. Start a legacy heartbeat.
3. Inspect the managed `CODEX_HOME/skills` directory.
4. Observe that the Paperclip skill is absent before this change.

**Paperclip version or commit**

The problem reproduces on `master` before this pull request. PR #7029
introduced the configured-only selection behavior.

**Deployment mode**

Local development and self-hosted legacy local adapters.

## What Changed

- Added a shared legacy skill resolver that always selects the canonical
Paperclip operational skill when it is available.
- Applied the resolver to direct adapter execution, ACPX execution,
skill snapshots, and persistent skill sync.
- Added Hermes skill materialization at sync and run boundaries.
- Aligned Cursor, Gemini, and OpenCode execution-time injection with the
configured child `HOME`.
- Made Hermes stop execution when another installation blocks the
required operational skill.
- Kept optional skills controlled by `paperclipSkillSync.desiredSkills`.
- Kept `paperclip_runner` on the configurable-only resolver.
- Added regression coverage for missing preferences, empty preferences,
each skill-capable legacy adapter, ACPX, Hermes, and native runner
isolation.
- Documented the legacy runtime invariant.

## Verification

- `pnpm -r typecheck` passed on the pushed commit.
- `pnpm build` passed on the pushed commit.
- The adapter utility regression suites passed: 236 tests.
- The changed server adapter suites passed: 48 tests across 12 files.
- The OpenCode adapter suite passed: 8 tests.
- The Hermes adapter suite passed: 7 tests.
- `git diff --check` passed.
- `pnpm test:run` is not clean on this macOS host. The command reported
failures in unchanged workspace and filesystem suites. An isolated rerun
of `company-skills.test.ts` and `company-skills-service.test.ts`
reproduced 11 failures because macOS resolved `/var/...` paths as
`/private/var/...`. The changed adapter suites pass independently.

## Risks

- This change deliberately makes the operational skill non-removable for
skill-capable legacy local adapters.
- Existing agents receive the skill on their next list, sync, or run
boundary. No database migration is required.
- The resolver does not create a skill when the runtime inventory does
not contain the canonical entry.
- Hermes aborts a run if another installation occupies the required
operational skill target.
- Hermes removes only an undesired Paperclip-owned symlink that still
points to the known Paperclip source.
- The native runner does not receive the legacy default.

> 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 based on GPT-5. The exact serving model ID and context
window were not exposed. The agent used reasoning, tool use, and code
execution.

## 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>
2026-08-26 09:45:24 -05:00
Philip D'Souza 4660562fde fix(opencode-local): make the model-availability probe non-fatal (#10294)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work.
> - Agents run through adapters; the `opencode-local` adapter shells out
to the OpenCode CLI and, before each run, does a pre-flight `opencode
models` **availability probe** to fail fast on a misconfigured
`provider/model`.
> - That probe was written to **throw on any probe failure** — a
timeout, a non-zero exit, or a transient `Unexpected error` from the CLI
— which aborts the whole heartbeat run.
> - In practice the CLI probe fails transiently (provider hiccup, cold
cache, momentary CLI error). When that happens *after* the agent has
already done its work, the run dies before its terminal disposition is
written, so the platform reopens the issue and re-runs it — a spurious
crash/re-run loop that affects every agent on the OpenCode adapter.
> - This PR makes the probe **non-fatal when it cannot run**: it warns
and proceeds with the configured model, letting the real invocation be
authoritative.
> - It deliberately **keeps** the genuine guard: when the probe
*succeeds* and the configured model is absent from a non-empty list, it
still throws (this is what catches misconfigured slugs).
> - The benefit is that a best-effort pre-flight check can no longer
take down an otherwise-healthy run, while the useful misconfiguration
guard is retained.

## Linked Issues or Issue Description

No public GitHub issue exists; describing inline (bug).

**What happened:** an OpenCode-adapter agent run terminated at the
adapter level with `` `opencode models` failed: Unexpected error ``. The
failure landed after the agent had produced its work, so the
terminal-status update never applied and the run was reopened and
re-executed.

**Expected:** a transient failure of the `opencode models` availability
*probe* should not abort the run — the probe is a best-effort pre-flight
guard, not a gate.

**Actual:** the probe threw on timeout / non-zero exit / empty output,
aborting the run and discarding the completed work + disposition.

**Scope:** both the local (`models.ts`) and remote/SSH (`execute.ts`)
probe paths; affects any agent on the `opencode_local` adapter.

Related PRs (context / prior art):
- Refs #5119 — added the remote execution-target model-probe validation
this PR softens.
- Refs #3291 — closed prior attempt to make the `opencode_local` model
probe non-blocking (at agent-create time; different entry point).
- Refs #8014 — related open work raising the probe timeout (20s → 60s);
complementary, not overlapping.

## What Changed

- `models.ts` (`ensureOpenCodeModelConfiguredAndAvailable`): if
discovery throws (probe can't run) or returns an empty list, **warn and
proceed** with the configured model instead of throwing. The "model
present in a non-empty list" check is unchanged and still throws when
the configured model is genuinely absent.
- `execute.ts` (`ensureRemoteOpenCodeModelConfiguredAndAvailable`):
remote probe **timeout / non-zero exit / empty output** now warn and
return (proceed) instead of throwing. The remote model-absent guard
still throws.
- `models.test.ts`: the local "discovery cannot run" case now asserts
the probe **proceeds** with the configured model (was: asserts it
rejects).
- `execute.test.ts`: added remote regression tests — non-zero exit,
timeout, and empty output all proceed; a successful probe missing the
configured model still rejects.

## Verification

```bash
pnpm --filter @paperclipai/adapter-opencode-local typecheck   # clean
# opencode-local server suite (default 5s per-test timeout is too tight for the
# heavy SSH tests on some machines; use a realistic timeout):
node node_modules/.pnpm/vitest@*/node_modules/vitest/vitest.mjs run \
  packages/adapters/opencode-local/src/server/models.test.ts \
  packages/adapters/opencode-local/src/server/execute.test.ts \
  packages/adapters/opencode-local/src/server/execute.remote.test.ts \
  --testTimeout=45000
```

Result: typecheck clean; all opencode-local server tests pass, including
the new remote fail-open tests and the retained "model unavailable on
the remote target" guard test.

## Risks

- **Fail-open behavior (intentional).** When the probe can't run, a
genuinely misconfigured model is no longer caught at pre-flight — it
surfaces at the real invocation instead. This is the accepted tradeoff:
the probe is best-effort, and the real invocation is authoritative. The
high-value guard (probe succeeds + model absent from a non-empty list)
is retained, so the common misconfiguration — a bad `provider/model`
slug — is still caught.
- No API, schema, or migration changes. Behavior change is confined to
the two probe helpers. Low risk overall.

## Model Used

Anthropic **Claude Opus 4.8** (`claude-opus-4-8`), used via Claude Code
with agentic tool use (repo search, file editing, shell/code execution)
and extended reasoning. Used to diagnose the crash, implement the fix,
and write the tests; the change was reviewed before submission.

## 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
- [x] My branch name describes the change
(`fix/opencode-model-probe-non-fatal`) and contains no internal ticket
id
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] I have updated relevant documentation to reflect my changes — N/A
(internal adapter behavior; no user-facing docs affected)
- [x] I have considered and documented any risks above
- [x] All Paperclip CI gates are green (functional gates:
tests/build/e2e/typecheck/security). Review/Greptile gate re-running
after this update.
- [ ] Greptile is 5/5 with no open P2s — re-triggered after addressing
both P2s (remote test coverage + this template-complete description)
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-08-12 16:44:03 -07:00
Jannes StubbemannandClaude Opus 4.8 1ac1ba5442 feat(opencode-local): env-driven gateway routing (custom providers, small/cheap model, remote allow-all) (#7837)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work
> - The `opencode-local` adapter runs the OpenCode harness; its
model/provider routing assumes built-in providers (anthropic/openai/...)
and their default models
> - Deployments increasingly put an OpenAI/Anthropic-compatible LLM
gateway between the harness and the model for cost, governance, or
data-residency reasons: LiteLLM, OpenRouter, Portkey, Kong, a corporate
proxy, self-hosted models (vLLM/Ollama), or region-pinned/sovereign
endpoints. But OpenCode only resolves `--model provider/model` when the
model is registered in a provider's `models` map, and
`OPENCODE_ALLOW_ALL_MODELS` does NOT bypass its internal `getModel()`
> - Several lanes also fall back to built-in default models the gateway
may not serve: the auxiliary/title model (e.g. `claude-haiku-*`) and the
budget/recovery "cheap" lane (`openai/gpt-5.1-codex-mini`); these abort
runs with "no keys found that support model"
> - This pull request makes the adapter's provider/model wiring
declarative via env, so any such deployment can register gateway models
+ pin the auxiliary/budget lanes without code changes; nothing here is
specific to one hosting setup
> - The benefit is OpenCode works behind any compatible gateway with
config only; with no env set, behavior is unchanged

## Linked Issues or Issue Description

No existing issue; describing in-PR (feature / adapter enhancement).

- **Gap:** there is no supported way to register custom/gateway
providers + models for `opencode-local`, nor to pin the auxiliary
(title-gen) and budget (recovery) model lanes, so routing OpenCode
through a gateway fails at `getModel()` or on the default helper models.
- Related: #5737 (exe.dev sandbox installs for gemini/opencode local),
#5823 (unblock claude_local on remote sandbox providers).

> Note on ROADMAP: this is adapter-level, opt-in config (defaults
unchanged) that *enables* gateway routing for one harness; it is not the
core "Cloud / Sandbox agents" platform work itself. Happy to
redirect/discuss in #dev if preferred.

## What Changed

- `PAPERCLIP_OPENCODE_PROVIDERS`: merge custom/extended providers
(OpenCode `provider` shape) into the runtime `opencode.json`, so gateway
models are registered and `--model provider/model` resolves. `{env:VAR}`
placeholders are expanded server-side (so a key need not depend on the
sandbox run env).
- A malformed `PAPERCLIP_OPENCODE_PROVIDERS` is no longer silently
ignored: invalid JSON, a non-object value, and individual provider
entries with non-object values (which are skipped by name) each append a
visible note to the run notes so the misconfiguration is diagnosable
(addresses both review P1s).
- `PAPERCLIP_OPENCODE_SMALL_MODEL` / `PAPERCLIP_OPENCODE_CHEAP_MODEL`:
pin the auxiliary (title-generation) and budget (recovery-retry) lanes
to gateway-served models; defaults unchanged.
- Honour `OPENCODE_ALLOW_ALL_MODELS` on the **remote** execution path
too (was local-only, a parity gap).
- `PAPERCLIP_OPENCODE_PRINT_LOGS`: optional toggle adding `--print-logs`
so OpenCode logs surface on stderr for diagnosing remote/sandbox runs.
- `buildOpenCodeModelProfiles()` guards its `process.env` default with
`typeof process` so the shared client/server module stays browser-safe
(a bare `process.env` at module load threw ReferenceError in the browser
under Vite dev middleware and broke UI rendering in the e2e lane).

## Verification

- `pnpm --filter @paperclipai/adapter-opencode-local build` and
`typecheck` (tsc clean)
- `pnpm exec vitest run packages/adapters/opencode-local/src` shows 33
passing (incl. new tests for the provider merge, `{env:}` expansion, the
malformed/non-object/skipped-entry provider notes, small/cheap-model
resolution, and the remote allow-all bypass)
- Manually verified end-to-end against a real
OpenAI-/Anthropic-compatible gateway: with the providers + small/cheap
model set, both the title-gen and main task route to the configured
gateway model and the agent completes (a real completion is returned and
billed). That deployment supplies the verification evidence; the
mechanism is gateway-agnostic.

## Risks

Low. Everything is env-driven and opt-in; with no env set the generated
config output is unchanged, and the cheap model profile keeps its model
(the only difference is its updated human-readable description).
Defaults preserved: built-in providers, Codex-mini cheap lane with
`variant: low`, no `--print-logs`. No migration/UI impact.

## Model Used

Claude Opus 4.8 (`claude-opus-4-8`, 1M context), extended thinking +
tool use, via Claude Code.

## 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 (adapter-level opt-in config enabling
gateway routing; not the core sandbox-platform work, noted above)
- [x] I have searched GitHub for duplicate or related PRs and linked
them above (#5737, #5823)
- [x] I have either (a) linked existing issues OR (b) described the
issue in-PR following the relevant issue template
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots (n/a, no UI)
- [ ] I have updated relevant documentation to reflect my changes (env
vars documented inline via comments; no central doc references the
adapter env yet)
- [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
(the P1 about silently dropped malformed providers JSON is addressed in
6eeb803, the follow-up P1 about silently skipped non-object entries in
2f4045a; the latest review has no further findings, and a re-review is
requested for the final note-copy/test-fixture polish at head)
- [x] I will address all Greptile and reviewer comments before
requesting merge

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-10 21:11:49 -07:00