Files
PaperClipAI/docs/adapters/overview.md
T
Devin FoleyandPaperclip c48feee190 Improve live agent feedback during sandboxed runs (#8915)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work
> - A core part of that experience is watching active agent runs without
dropping into raw logs first
> - Local and sandbox-backed adapters already record useful run output,
progress, and tool activity
> - But active issue threads could sit visually stale while the agent
was syncing workspaces, tailing sandbox output, or emitting incremental
tool-call updates
> - Operators need timely, human-readable progress while preserving the
raw transcript underneath
> - This pull request streams sandbox run-log progress into runtime
status, keeps visible issue threads refreshed, and folds repeated ACPX
tool updates into stable transcript cards
> - The benefit is that long-running agent work becomes easier to
supervise without changing the task/comment control-plane model

## Linked Issues or Issue Description

No public GitHub issue exists for this exact change.

Problem/motivation:

- During long-running sandboxed agent work, the issue UI can appear idle
even though the agent is actively syncing, running tools, or producing
incremental output.
- Operators need realtime feedback at the issue-thread layer, not only
after opening raw logs or waiting for the final heartbeat result.
- Related public context: #1808 previously added live-run status dots to
Projects; #4362 touches heartbeat wakeup behavior but is not a duplicate
of this runtime/UI feedback change.

## What Changed

- Added sandbox run-log streaming support and defaulted sandbox-capable
local adapters into the richer live-feedback path.
- Surfaced environment/sandbox sync progress through heartbeat runtime
status with bounded, redacted snippets.
- Added live issue-thread cache patching so visible active runs update
as progress events arrive.
- Folded repeated ACPX `tool_call` updates into one transcript card
instead of stacking duplicate cards.
- Updated adapter docs and added focused regression coverage for sandbox
log streaming, runtime status, ACPX parsing, live updates, transcript
rendering, and issue chat messages.

## Verification

- `pnpm install --frozen-lockfile`
- `pnpm exec vitest run ui/src/context/LiveUpdatesProvider.test.ts`
- `pnpm exec vitest run
server/src/services/heartbeat-run-runtime-status.test.ts
server/src/__tests__/heartbeat-runtime-state.test.ts
ui/src/context/LiveUpdatesProvider.test.ts`
- `pnpm exec vitest run
packages/adapter-utils/src/execution-target-sandbox.test.ts
packages/adapter-utils/src/sandbox-managed-runtime.test.ts
server/src/services/heartbeat-run-runtime-status.test.ts
server/src/__tests__/agent-live-run-routes.test.ts
server/src/__tests__/heartbeat-runtime-state.test.ts
packages/adapters/acpx-local/src/ui/parse-stdout.test.ts
ui/src/context/LiveUpdatesProvider.test.ts
ui/src/components/transcript/RunTranscriptView.test.tsx
ui/src/lib/issue-chat-messages.test.ts
ui/src/components/IssueChatThread.test.tsx`
- GitHub PR workflow on head `8397953e7b41ccd42e5d9457ee7e4dfb996e4ec5`:
`verify`, build, typecheck/release-registry, e2e, general shards,
serialized server shards, and canary dry run passed.
- Greptile Review on head `8397953e7b41ccd42e5d9457ee7e4dfb996e4ec5`:
Confidence Score 5/5, no unresolved review threads.

## Risks

- Live issue-thread cache patching could miss an edge case for a route
shape not covered by tests.
- Surfacing active-run snippets needs continued care around redaction;
this PR keeps snippets bounded and adds redaction-focused coverage.
- More frequent active-run UI refreshes could expose performance issues
on very large issue threads, though updates are scoped to visible
run/query caches.

## Model Used

OpenAI GPT-5 via Codex, operating as a tool-enabled coding agent with
shell, git, and repository-editing capabilities. Context window size is
not exposed in this runtime.

## 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>
2026-07-02 22:21:56 -07:00

118 lines
6.9 KiB
Markdown

---
title: Adapters Overview
summary: What adapters are and how they connect agents to Paperclip
---
Adapters are the bridge between Paperclip's orchestration layer and agent runtimes. Each adapter knows how to invoke a specific type of AI agent and capture its results.
## How Adapters Work
When a heartbeat fires, Paperclip:
1. Looks up the agent's `adapterType` and `adapterConfig`
2. Calls the adapter's `execute()` function with the execution context
3. The adapter spawns or calls the agent runtime
4. The adapter captures stdout, parses usage/cost data, and returns a structured result
## Built-in Adapters
| Adapter | Type Key | Description |
|---------|----------|-------------|
| [Claude Code](/adapters/claude-local) | `claude_local` | Runs Claude Code CLI locally |
| [Codex](/adapters/codex-local) | `codex_local` | Runs OpenAI Codex CLI locally |
| ACPX Local | `acpx_local` | Runs Claude, Codex, or a custom ACP agent through ACPX with live structured event streaming |
| [Gemini CLI](/adapters/gemini-local) | `gemini_local` | Runs Gemini CLI locally (experimental — adapter package exists, not yet in stable type enum) |
| OpenCode | `opencode_local` | Runs OpenCode CLI locally (multi-provider `provider/model`) |
| Cursor | `cursor` | Runs Cursor in background mode |
| Pi | `pi_local` | Runs an embedded Pi agent locally |
| Hermes | `hermes_local` | Runs the local Hermes CLI through `@paperclipai/hermes-paperclip-adapter` |
| Hermes Gateway | `hermes_gateway` | Calls an already-running Hermes API server through `@paperclipai/hermes-paperclip-adapter/gateway` |
| OpenClaw Gateway | `openclaw_gateway` | Connects to an OpenClaw gateway endpoint |
| [Process](/adapters/process) | `process` | Executes arbitrary shell commands |
| [HTTP](/adapters/http) | `http` | Sends webhooks to external agents |
### Hermes local vs gateway
Use `hermes_local` when Paperclip should start the local `hermes` CLI on the
same host for each heartbeat. Use `hermes_gateway` when Hermes is already
running as an HTTP/SSE API server and Paperclip should call that server instead
of spawning a process. Both type keys are stable built-ins.
The unified Hermes package owns both built-in adapters. The older
`@paperclipai/adapter-hermes-gateway` package remains only as a deprecated
compatibility shim that re-exports the gateway entrypoints for one release.
New plugin overrides should target `@paperclipai/hermes-paperclip-adapter` and
set the desired type key (`hermes_local` or `hermes_gateway`).
### External (plugin) adapters
These adapters ship as standalone npm packages and are installed via the plugin system:
| Adapter | Package | Type Key | Description |
|---------|---------|----------|-------------|
| Droid | `@henkey/droid-paperclip-adapter` | `droid_local` | Runs Factory Droid locally |
## External Adapters
You can build and distribute adapters as standalone packages — no changes to Paperclip's source code required. External adapters are loaded at startup via the plugin system.
```sh
# Install from npm via API
curl -X POST http://localhost:3102/api/adapters \
-d '{"packageName": "my-paperclip-adapter"}'
# Or link from a local directory
curl -X POST http://localhost:3102/api/adapters \
-d '{"localPath": "/home/user/my-adapter"}'
```
See [External Adapters](/adapters/external-adapters) for the full guide.
## Adapter Architecture
Each adapter is a package with modules consumed by three registries:
```
my-adapter/
src/
index.ts # Shared metadata (type, label, models)
server/
execute.ts # Core execution logic
parse.ts # Output parsing
test.ts # Environment diagnostics
ui-parser.ts # Self-contained UI transcript parser (for external adapters)
cli/
format-event.ts # Terminal output for `paperclipai run --watch`
```
| Registry | What it does | Source |
|----------|-------------|--------|
| **Server** | Executes agents, captures results | `createServerAdapter()` from package root |
| **UI** | Renders run transcripts, provides config forms | `ui-parser.js` (dynamic) or static import (built-in) |
| **CLI** | Formats terminal output for live watching | Static import |
## Choosing an Adapter
- **Need a coding agent?** Use `claude_local`, `codex_local`, `acpx_local`, `opencode_local`, `hermes_local`, or install `droid_local` as an external plugin
- **Need the richest live run feedback (especially for sandbox workers)?** Use `acpx_local` — see [Feedback granularity](#feedback-granularity)
- **Need Hermes on another host or already running as a service?** Use `hermes_gateway`
- **Need to run a script or command?** Use `process`
- **Need to call a custom external service?** Use `http`
- **Need something custom?** [Create your own adapter](/adapters/creating-an-adapter) or [build an external adapter plugin](/adapters/external-adapters)
## Feedback Granularity
Adapter choice determines how much structured, live detail a run's transcript can show while the agent is still working. Every adapter's stdout is streamed to the run log and rendered live in the UI — including runs on sandbox execution targets, whose logs are tailed and delivered incrementally — but the *granularity* of what you see depends on the event stream the adapter emits.
Rough tiers, richest first:
1. **`acpx_local` — full structured event stream.** ACPX emits a JSONL event per meaningful runtime moment: `acpx.session` (agent, mode, session identity), `acpx.status` (progress text plus context-window usage), `acpx.text_delta` (assistant/thinking token deltas), `acpx.tool_call` (tool title, call id, and status updates as the call progresses), `acpx.result` (stop reason summary), and `acpx.error` (code, message, retryability). The transcript renders these as live-updating message, thinking, tool, and status blocks, and repeated `acpx.tool_call` status updates fold into a single tool card instead of stacking duplicates.
2. **CLI wrappers (`claude_local`, `codex_local`, `cursor`, `opencode_local`, …).** These parse each CLI's own streaming JSON output. You get assistant text, tool calls/results, and a final usage/cost summary, but granularity is limited to what the CLI prints — some emit tool progress, others only call/finish pairs.
3. **Generic adapters (`process`, `http`).** Plain stdout/stderr lines with no structured transcript — you see raw output only.
**Recommendation:** for sandbox workers, prefer `acpx_local`. Sandbox run logs are streamed live, so the richer the event stream, the more useful the live transcript and status line are while a remote run is in flight. ACPX's status events (including context usage) and incremental tool-call updates give the closest thing to watching the agent work locally.
## UI Parser Contract
External adapters can ship a self-contained UI parser that tells the Paperclip web UI how to render their stdout. Without it, the UI uses a generic shell parser. See the [UI Parser Contract](/adapters/adapter-ui-parser) for details.