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hapi/docs/guide/agents.md
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927b4971b9 feat(dsh): model selection for DeepSeek Harness (ACP config options) (#2030)
* feat(acp): flatten Zed-style grouped configOptions choices

DeepSeek Harness 0.2.x (and Zed-style agents generally) nest select
choices one level under group entries that carry no `value` of their
own:

    options: [{ group, name, options: [{ value, name }] }]

Both the per-session config-option descriptor and the model-metadata
merge previously read only flat `{ value, name }` entries, so grouped
pickers surfaced zero choices. Flatten recursively in a shared helper;
flat options are unaffected.

Co-Authored-By: Claude Code <noreply@anthropic.com>

* feat(dsh): runtime model switching through ACP config options

dsh advertises its model catalog as a Zed-style grouped config option
(provider groups with JSON-encoded provider+model tuple values) instead
of session/set_model, so wire it through the generic config-option rail:

- shared: ListDshModels/ListDshModelsForMachine RPC methods, response
  types, and grant dsh the ModelChange flavor capability
- cli: DshMode becomes {model} and rides the queued-batch mode like
  other flavors; the launcher applies model switches per-turn via
  session/set_config_option, discovers the live current model from the
  config option after newSession, rolls back (and warns) when a switch
  is rejected, and serves ListDshModels from session metadata. A
  machine-scoped probe (60s single-flight cache) backs the new-session
  catalog; --model is now accepted by the dsh command
- hub: dsh-models passthrough routes (machine + session scope)

Co-Authored-By: Claude Code <noreply@anthropic.com>

* feat(web): dsh model selector for new sessions and in-chat switching

New-session form gets a Default-plus-catalog picker fed by the machine
probe (opaque tuple values verbatim, friendly names as labels, stale
draft picks dropped when the catalog rotates). Running sessions get the
same catalog over the session-scoped hook; switching rides the existing
generic model-change path now that dsh advertises ModelChange.

Co-Authored-By: Claude Code <noreply@anthropic.com>

* fix(dsh): honor explicit Default reset and cover pending catalog discovery

The launcher now captures the server default before applying any spawn
override, and a queued `model: null` (the picker's "Default" after an
explicit switch) switches back to it instead of silently keeping the
last applied model; DshMode keeps null distinct from undefined all the
way from the config RPC through the queue (runDsh no longer collapses
it). The web model-option helpers get explicit dsh branches mirroring
opencode: pending, failed, or empty ACP discovery renders no Claude
presets and the Ctrl/Cmd+M cycler keeps the current model. NewSession
restores dshSelectedModel from preferred launch settings alongside
agy/opencode (the existing catalog-validation effect drops stale tuples)
with remount, forward-on-create, and fallback tests.

Co-Authored-By: Claude Code <noreply@anthropic.com>

* fix(dsh): keep unset model preferences distinct from Default resets

Two review follow-ups:

- currentModel collapses "no preference yet" into null, so a session
  started without --model on a server that reports no current model
  queued model:null on every ordinary turn — the launcher read each one
  as an explicit "Default" reset and emitted 'Cannot reset the DSH
  model' every turn. The preference is now three-state (undefined =
  nothing requested, null = picker's explicit Default, string = model),
  encoded through dshModeForPreference() so preference-less turns carry
  no model field at all.

- ListDshModels was registered only after initialize/session/new and
  discovery finished; a picker opened during startup hit an
  unregistered-method rejection with no retry path and stayed empty
  until remounted. The handler is now registered before initialization
  and parks on a readiness promise resolved once the session exists and
  discovery has settled (rejected with the startup error otherwise).

Co-Authored-By: Claude Code <noreply@anthropic.com>

* docs: DSH advertises model selection over ACP

The capability blurbs still said HAPI exposes no model pickers for DSH and
that the ACP server has no model switching. Update them to the wire reality:
models are listed via ListDshModels and applied per turn with
session/set_config_option. Resume remains out of scope on this branch.

via [HAPI](https://hapi.run)

Co-Authored-By: HAPI <noreply@hapi.run>
Co-Authored-By: Claude Code <noreply@anthropic.com>

---------

Co-authored-by: Claude Code <noreply@anthropic.com>
Co-authored-by: HAPI <noreply@hapi.run>
2026-10-26 10:02:51 +08:00

19 KiB

Supported Agents

HAPI is a wrapper around AI coding agents. One CLI (hapi <agent>) starts any supported agent locally and exposes the same session for remote control from the web app, PWA, and Telegram — with permission prompts, message queueing, and seamless handoff between terminal and phone.

Run hapi without arguments to choose an agent interactively. The picker shows all supported agents alphabetically by command name; missing or misconfigured agents are disabled with a reason. Scripts must use hapi <agent> [options]. hapi --help shows HAPI's own help. Options after an agent name belong to that agent's integration; their supported syntax varies by agent.

Support matrix

Agent Command Integration Local Remote Permission modes Resume
Claude Code hapi claude Terminal wrapper (local) + Claude Agent SDK (remote) ✓ ✓ default acceptEdits auto bypassPermissions plan ✓
Codex hapi codex Native terminal + codex app-server (Codex 0.154.0+) ✓ ✓ default read-only autoReview yolo (+ plan collaboration mode) ✓
Cursor Agent hapi cursor ACP (agent acp); legacy stream-json resume ✓ ✓ default plan ask debug autoReview yolo ✓
Grok Build hapi grok ACP (grok agent stdio) ✓ ✓ default auto plan bypassPermissions ✓
GitHub Copilot hapi copilot ACP (copilot --acp --stdio) ✓ ✓ default read-only safe-yolo yolo ✓
Kimi hapi kimi ACP (kimi acp) ✓ ✓ default read-only safe-yolo yolo ✓
OpenCode hapi opencode ACP (opencode acp) ✓ ✓ default plan yolo ✓
DeepSeek Harness hapi dsh ACP (dsh --profile acp or configured server) — ✓ Managed by DSH ACP composition —
Antigravity (agy) hapi agy Headless print mode (per-turn agy -p + NDJSON) — ✓ request-review always-proceed ✓
Pi hapi pi pi --mode rpc (JSON-line RPC over stdio) — ✓ none (always auto-approve) ✓
Gemini CLI — Removed — Google sunset the consumer Gemini CLI (2026-06-18) — — — —

Gemini is no longer launchable: hapi gemini is kept as a tombstone command that prints a clear error, and existing Gemini sessions remain viewable in the web UI but cannot be resumed.

Common concepts

ACP

Most remote integrations speak the Agent Client Protocol (ACP) over stdio through a shared HAPI backend. ACP gives remote sessions bidirectional permission approval, plan/todo updates, question UI, model catalogs, and session resume via session/load. Cursor, Grok, Copilot, Kimi, OpenCode, and DeepSeek Harness remote sessions all run over ACP. DSH's official ACP server is automation-focused and currently supports committed assistant output, cancellation, one-shot permissions, native session resume via session/resume, and per-turn model switching through session/set_config_option; it does not provide MCP injection or live tool/reasoning telemetry.

Permission modes

Permission modes are per-agent — each flavor exposes its own set (see the matrix above). Set the mode at launch with --permission-mode <mode> or a shortcut flag (--yolo, --plan, --auto-review, depending on the agent), and switch it mid-session from the web UI. Semantics vary per agent; see the per-agent sections below.

Local and remote mode

Work locally in the terminal or remotely from web/phone, keeping the same conversation when you hand off. The support matrix shows which interfaces each agent offers; DSH, Pi, and Antigravity accept input only through HAPI's remote interface.

  • Remote → local: continue in the terminal. If it shows the remote-control screen, press double-space to return to local input.
  • Local → remote: send a message from the web UI or phone; HAPI handles the handoff.

See Seamless Handoff for details.

Resuming sessions

hapi resume                # Interactive picker of resumable sessions on this machine
hapi resume <session-id>   # Resume a specific HAPI session

hapi resume reopens the conversation on this machine, including active sessions you were using from your phone. Gemini and fresh-session-only DSH cannot be resumed. Pi and Antigravity resume with input still controlled from HAPI rather than the terminal.

Mathematical formulas in HAPI Markdown

HAPI renders LaTeX-style mathematics through KaTeX. When generating or revising Markdown intended for display in HAPI, follow these rules exactly:

  • Use \( ... \) for inline mathematics.
  • Use \[ ... \] for standalone display mathematics.
  • Do not use single-dollar delimiters such as $x^2$. Single-dollar math is disabled to prevent currency values such as $200 from being misinterpreted as formulas.
  • $$ ... $$ remains supported for compatibility, but \[ ... \] is preferred for display mathematics.
  • Do not put formulas inside inline code, fenced code blocks, or other code content.
  • Use only LaTeX commands supported by KaTeX. TikZ is not supported.
  • Do not use bare [ ... ] as math delimiters.

Before sending a response, check every mathematical expression for the correct delimiters. Rewrite any mathematical $...$ expression as \(...\) or \[...\]; preserve ordinary currency text such as $200 as plain text.

Cursor Agent

HAPI supports Cursor Agent CLI for running Cursor's AI coding agent with remote control via web and phone.

When Cursor resumes mid-idle (for example after a Shell notify_on_output wake) and emits ACP activity, HAPI bumps session thinking over the normal session-alive keepalive so the list does not stay stuck idle. See FAQ.

Prerequisites

Install Cursor Agent CLI:

  • macOS/Linux: curl https://cursor.com/install -fsS | bash
  • Windows: irm 'https://cursor.com/install?win32=true' | iex

Verify installation:

agent --version

Usage

hapi cursor                    # Start Cursor Agent session
hapi cursor resume <chatId>    # Resume a specific chat
hapi cursor --continue         # Resume the most recent chat
hapi cursor --plan             # Start in Plan mode (shortcut)
hapi cursor --mode plan        # Start in Plan mode
hapi cursor --mode ask         # Start in Ask mode
hapi cursor --auto-review      # Start with Auto (Smart Auto)
hapi cursor --yolo             # Bypass approval prompts (--force)
hapi cursor --model <model>    # Specify model
hapi cursor --cursor-worktree              # Cursor-native worktree (auto-named)
hapi cursor --cursor-worktree feature-x    # Cursor-native worktree (named)
hapi cursor --cursor-add-dir ../shared     # Extra workspace root (repeatable)

Permission modes

Mode Description
default Standard agent behavior
plan Plan mode - design approach before coding
ask Ask mode - explore code without edits
debug Debug mode - hypotheses + instrumentation
autoReview Auto (Smart Auto) - allowlist/sandbox/classifier instead of full YOLO
yolo Bypass approval prompts

Set mode via --plan / --mode / --permission-mode / --auto-review, or change from the web UI during a session.

Cursor-native worktree & multi-root

  • New Session Worktree for Cursor uses Cursor's --worktree (~/.cursor/worktrees/<repo>/<name>), not HAPI's sibling-directory worktree.
  • Exception: if the spawn directory is already a linked git worktree (HAPI feature worktree, driver/, etc.), the runner does not pass --cursor-worktree — nesting hangs ACP initialize (#1085). Use the directory as cwd instead.
  • Mid-session: send /worktree, /apply-worktree, /delete-worktree, or /add-dir <path> (isolated pass-through).
  • CLI: hapi cursor --cursor-worktree feature-x --cursor-add-dir ../shared
  • ACP ignores Cursor's plain-text Using worktree: … stdout banner so remote sessionType: worktree can initialize (fixed in #1085). Other non-JSON ACP stdout remains a fatal protocol error.

Slash pass-through (remote)

These commands are isolated in the queue and forwarded to the agent (ACP prompt or legacy -p):

/compress /summarize /compact /model /multitask /best-of-n /worktree /apply-worktree /delete-worktree /add-dir /context /fork /auto-review

Interactive TUI-only commands (/config, /mcp, /sandbox, /btw, /rewind, …) are not supported remotely.

Modes

  • Local mode - Run hapi cursor from terminal. Full interactive experience.
  • Remote mode - Spawn from web/phone when no terminal. New Cursor sessions use agent acp with HAPI permission approval, plan/question UI, and richer tool updates. Legacy sessions created before the ACP migration may still resume via the old agent -p stream-json path temporarily.

Limitations

  • Multitask UI - /multitask is slash-driven; HAPI does not yet provide an Agents Window-style fleet pane. Subagent cursor/task notifications show as CursorTask cards when the agent emits them.
  • Legacy sessions - Cursor sessions created before the ACP migration can still resume temporarily via stream-json. Start a new Cursor session to get ACP permissions, plans, todos, and question support.
  • Session resume - ACP sessions resume through session/load. Old stream-json session_id values are not loadable via ACP; those sessions keep using the legacy path until you start fresh.

Legacy stream-json safety: AskQuestion behavior

New cursor remote sessions go through ACP, which handles AskQuestion via the bidirectional cursor/ask_question extension method and is immune to the issue below. The intercept described here exists only for legacy sessions that resume via the older agent -p stream-json launcher.

When running cursor-agent under --print --output-format stream-json, the cursor-agent CLI returns a synthetic Questions skipped by the user, continue with the information you already have response for the AskQuestion tool because there is no IDE surface to render the question. The agent's underlying model can interpret this as legitimate user consent and act on it.

HAPI's legacy event converter intercepts this synthetic response and rewrites it to an explicit no_input_surface error (status: failed), so downstream consumers (web UI, Telegram, log readers) surface the fabrication as an error instead of silently passing through fabricated consent. The intercept scans the raw tool_call payload for the literal marker text and is scoped to AskQuestion-shaped (and converter-fallback name=unknown) calls; legitimate read/write/function tools are not affected.

The intercept drains naturally with the legacy session population - resumed pre-ACP sessions are the only path that still hits this code.

Tracking issue: tiann/hapi#784.

Grok Build

HAPI can run the official Grok Build CLI locally and control the same coding session remotely from the Web/PWA.

Install

Install Grok Build using the official installer:

::: code-group

curl -fsSL https://x.ai/cli/install.sh | bash
irm https://x.ai/cli/install.ps1 | iex

:::

Verify the installation:

grok version

Authenticate

HAPI reuses the Grok CLI's local authentication. On a headless runner machine, authenticate once with device-code login:

grok login --device-auth

Alternatively, configure an xAI API key in the runner environment:

export XAI_API_KEY="xai-..."

Do not place API keys in HAPI configuration files, logs, or a repository.

Start a session

Start the native Grok Build TUI:

hapi grok

Start with explicit launch settings:

hapi grok --model grok-4.5 --effort low --permission-mode default
hapi grok --yolo    # Shortcut for --permission-mode bypassPermissions

Sessions created from a HAPI runner start in remote mode automatically. Terminal-created sessions start in the native Grok TUI and can switch to remote control without parsing terminal output.

Permission modes

Grok exposes four permission modes:

  • default — tool requests are shown in HAPI for approval or denial.
  • auto — Grok's own Auto mode: HAPI forwards Grok's /auto command to the session. Auto depends on account and CLI-build availability — if Grok does not advertise the /auto command, HAPI falls back to default and posts a notice in the session.
  • plan — HAPI asks Grok to plan only and rejects tool execution requests.
  • bypassPermissions — tool requests are automatically approved for the session (--yolo shortcut).

Use bypassPermissions only in a trusted workspace.

Resume and handoff

Remote mode uses Grok's ACP stdio agent (grok agent stdio). HAPI stores the native Grok session ID and uses it for:

  • ACP session/load after a restart.
  • grok --resume <session-id> when switching back to the native TUI.
  • hapi resume <hapi-session-id> from a terminal.

For a new local session, HAPI supplies a UUID with grok --session-id, so the session can be resumed without scraping the fullscreen TUI.

Fork and rewind

When the Grok CLI build advertises them, HAPI uses Grok's ACP extension methods to fork the conversation (current point or from an earlier message, via _x.ai/session/fork) and to rewind the conversation to an earlier prompt (via _x.ai/rewind/*). Capabilities are probed per session, so older builds simply hide these controls.

Model and effort controls

The Create page discovers Grok's ACP model catalog and the reasoning-effort choices advertised for each model. Remote sessions can switch both model and effort between turns; HAPI applies them through ACP session/set_model and session/set_mode. From the terminal, pick them at launch with --model <model> and --effort <level>.

HAPI also exposes Grok's common slash commands, discovers skills from .grok/skills, ~/.grok/skills, and shared .agents/skills, and asks Grok to set a concise HAPI session title after the first normal prompt.

Current limitations

  • OAuth/device-code login must be completed outside the HAPI Web UI.
  • Grok subscription, credit, and model availability are controlled by xAI.

If a remote session reports authentication failure, run grok login --device-auth on the runner machine and retry.

DeepSeek Harness

hapi dsh uses the shared ACP transport and keeps DSH's runtime outside HAPI. The default entrypoint is the official dsh CLI with --profile acp (the ACP profile ships with @deepseek-ai/dsh since 0.2.0). Configure a different ACP server or a source checkout with HAPI_DSH_ACP_COMMAND, HAPI_DSH_ACP_CONFIG, or the JSON argument array HAPI_DSH_ACP_ARGS_JSON. HAPI_DSH_ACP_CONFIG passes a --config path to the server named by HAPI_DSH_ACP_COMMAND; on the default official CLI (which has no --config flag) it is applied as a --patch overlay on top of --profile acp.

npm install -g @deepseek-ai/dsh@0.2.0-rc.2
hapi dsh

The standalone legacy demo is still published as @deepseek-ai/dsh-acp-demo; use it through an explicit override and an exact version such as 0.1.0-rc.7 rather than npm's stale latest tag:

npm install -g @deepseek-ai/dsh-acp-demo@0.1.0-rc.7

A published package still needs a DSH Cordis composition/config. A source checkout can be launched directly:

export HAPI_DSH_ACP_COMMAND=pnpm
export HAPI_DSH_ACP_ARGS_JSON='["--dir", "/path/to/deepseek-harness", "run", "demo:acp"]'
hapi dsh

DSH sessions are remote-only and fresh-session-only. HAPI does not inject MCP servers. Model selection is available: the DSH composition's model catalog is exposed through the session RPC ListDshModels and applied per turn with ACP session/set_config_option. Effort pickers are not exposed because the official ACP contract leaves that surface to the DSH composition. Pending one-shot permission requests remain answerable in the standard HAPI UI, but the ACP composition owns the overall permission policy.

Other agents

  • Claude Code (hapi claude) — local sessions wrap the native TUI, remote sessions drive the Claude Agent SDK. Claude Code docs

  • Codex (hapi codex) — OpenAI's Codex CLI, with terminal/Web control and a dedicated plan mode. See Codex usage and limits for resume, terminal-exit behavior, and launch options. openai/codex

  • GitHub Copilot (hapi copilot) — Copilot CLI over ACP (copilot --acp --stdio). GitHub Copilot

  • Kimi (hapi kimi) — Moonshot AI's Kimi CLI over ACP (kimi acp). MoonshotAI/kimi-cli

  • OpenCode (hapi opencode) — the open-source OpenCode agent over ACP (opencode acp). opencode.ai

  • Antigravity (hapi agy) — Google's Antigravity CLI (agy), driven headlessly via print mode: every turn spawns agy -p <msg> --conversation <uuid> --output-format stream-json, and NDJSON events (init / step_update / result) are streamed into the chat. There is no PTY/TUI wrapper and no hook-based permission bridge: permission handling uses agy's own settings.json allow/deny rules (request-review) or --dangerously-skip-permissions (always-proceed). Tool calls that lack an allow-rule are auto-denied by agy and surfaced as a chat hint. MCP servers are configured the standard agy way — in the user's global ~/.gemini/config/mcp_config.json or a workspace .agents/mcp_config.json — and are loaded natively by agy in headless mode (no HAPI injection). Remote-only — there is no local terminal input path. Google Antigravity

  • Pi (hapi pi) — the Pi coding agent running as pi --mode rpc (JSON-line RPC over piped stdio); remote-control only, no local TUI input path. earendil-works/pi

    HAPI translates a subset of Pi's TUI slash commands to native Pi RPC calls, so they work from the web chat as well:

    • /compact [instructions] — manually compact context with optional custom summary instructions (runs Pi's compact RPC; the summary is rendered as a dedicated block in the chat with the token delta in its header).
    • /session — show session stats (messages, tokens, cost, context usage).
    • /model [modelId] — show the current model and available models, or switch with /model <modelId>.
    • /help — list the commands supported from HAPI.

    Pi's extension commands and prompt templates (discovered via get_commands) keep working from the / menu, and skills are available through $skill-name like other ACP flavors. Other Pi TUI builtins (e.g. /tree, /export, /reload) cannot run over RPC; typing them in web shows an explicit "terminal-only" notice instead of silently forwarding the text to the model.

    Pi sessions include a hapi_display_image tool for showing local PNG, JPEG, GIF, or WebP images up to 25 MiB in the chat. Images returned by Pi tools render inline even when the selected model has no vision support. The display tool also returns image bytes to Pi's model context.