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* fix(acp): derive tool_call input from kind+title fallback
Gemini 2.5 Flash and 3 Flash Preview omit rawInput entirely on
tool_call events while emitting prose (non-JSON) thoughts. Neither
the existing rawInput path nor JSON-thought hoisting fires, so the
UI shows "Input: null" alongside a perfectly readable title like
"README.md" or "ls -la /tmp".
Add a conservative fallback that maps known kinds to a minimal
input shape:
read -> { file_path: title }
execute -> { command: title }
search -> { pattern: title }
think -> null (topic-update prose has no clean arg mapping)
unknown -> null (no guessing on shapes we have not verified)
Priority: rawInput > hoisted JSON thought > kind+title derive.
Lock the new behaviour with synthetic unit tests (8 cases) and a
real-Gemini fixture suite captured from gemini-3-flash-preview
and gemini-2.5-flash via ACP stdio (4 fixtures, 33/27/13/4 raw
sessionUpdate events). The fixtures double as regression guards
against future ACP handler changes.
* fix(web): suppress duplicate subtitle when equal to tool title
Gemini ACP emits a tool_call whose title field is a human-readable
summary (often the verbatim shell command or file path). Combined with
the kind+title input fallback, an unknown-tool card ends up with the
same string in both the title and subtitle slots — e.g. title
"cat /tmp/hello.txt" over subtitle "cat /tmp/hello.txt".
Add a guard in getToolPresentation's unknown-tool branch: emit
subtitle only when it differs from toolName. The known-tool and
mcp__* branches are unaffected.
* test(acp): align Gemini fixtures to current model set
- Drop gemini-2.5-flash fixtures: the captures came from a model that
is not part of the PR's evidence model set, and re-running the
capture is gated on quota that is not currently available.
- Refresh gemini-3-flash-preview read_file / run_shell fixtures with
a fresh live capture so they reflect the latest ACP shape (e.g.
a `kind: think` tool_call expressing reasoning when the model emits
no agent_thought_chunk).
- Update fixture-replay expectations: read_file no longer requires
reasoning chunks (zero are emitted on this path) and now requires
>= 2 tool_calls (think + read).
* feat(web): promote semantic title for Gemini ACP tool cards
When the unknown-tool ToolCard would render the same string as both
the title and the subtitle, promote a semantic label to the title
slot so the card reads like a sentence:
cat /tmp/hello.txt → Run shell / cat /tmp/hello.txt
README.md → Read file / README.md
*.ts → Search / *.ts
This is a web-only ergonomic change; the underlying ACP message
shape (tool_name = title, input = derived from kind+title) is
unchanged. Builds on the dedup guard so the title-equals-subtitle
case is now handled by promotion rather than by hiding the subtitle.
* fix(acp): derive tool_call.input for kind=edit from locations[0].path
Gemini's write_file and replace tools both surface as ACP tool_call
with kind="edit" and rawInput omitted. The path lives on locations[0]
from the very first event; the title is prose like "Writing to foo.txt"
or "foo.txt: old => new", which is not safely usable as a file_path.
Extend the kind+title fallback to read locations[0].path when kind is
"edit", and synthesize { file_path } from it. Title fallback is
intentionally not used here so we never feed prose into file_path.
Lock the behaviour in with two new fixtures captured live from
gemini-3-flash-preview (write_file and replace) plus two synthetic
unit tests covering the locations-present and locations-empty paths.
* test(acp): add gemini-3.1-pro-preview fixtures for regression coverage
Captured 4 raw ACP `sessionUpdate` sequences from a live
`gemini-3.1-pro-preview` session via the same isolated hub +
runner + spawn pattern used for the existing flash captures
(read_file 31 events / run_shell 83 events / write_file 4 events /
edit_file 11 events).
The pro tier reuses the same kind/title shape as flash:
`rawInput` is omitted on every tool_call across read / execute /
edit kinds, so the kind+title (and locations[0].path for edit)
fallback is exactly what derives the modal Input. Locking these
fixtures in guards against future regressions on a second model.
The fixture-based regression test gains 4 entries (read / shell /
write / edit) mirroring the flash matrix; assertions are unchanged.
ACP handler suite: 53 -> 57 pass.
HAPI
Run official Claude Code / Codex / Gemini / OpenCode sessions locally and control them remotely through a Web / PWA / Telegram Mini App.
Why HAPI? HAPI is a local-first alternative to Happy. See Why Not Happy? for the key differences.
Features
- Seamless Handoff - Work locally, switch to remote when needed, switch back anytime. No context loss, no session restart.
- Native First - HAPI wraps your AI agent instead of replacing it. Same terminal, same experience, same muscle memory.
- AFK Without Stopping - Step away from your desk? Approve AI requests from your phone with one tap.
- Your AI, Your Choice - Claude Code, Codex, Cursor Agent, Gemini, OpenCode—different models, one unified workflow.
- Terminal Anywhere - Run commands from your phone or browser, directly connected to the working machine.
- Voice Control - Talk to your AI agent hands-free using the built-in voice assistant.
- Workspace Browser - Opt-in via
hapi runner start --workspace-root <path>: browse a scoped file tree from the web and start sessions in any subdirectory.
Demo
https://github.com/user-attachments/assets/38230353-94c6-4dbe-9c29-b2a2cc457546
Getting Started
npx @twsxtd/hapi hub --relay # start hub with E2E encrypted relay
npx @twsxtd/hapi # run claude code
hapi server remains supported as an alias.
The terminal will display a URL and QR code. Scan the QR code with your phone or open the URL to access.
The relay uses WireGuard + TLS for end-to-end encryption. Your data is encrypted from your device to your machine.
For self-hosted options (Cloudflare Tunnel, Tailscale), see Installation
Docs
Build from source
bun install
bun run build:single-exe
Credits
HAPI means "哈皮" a Chinese transliteration of Happy. Great credit to the original project.
Languages
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