YAACLI CLI
TUI reference implementation for ya-agent-sdk.
Usage
Run with uvx:
uvx --from 'yaacli[rs]' yaacli
Install with uv:
uv tool install 'yaacli[rs]'
yaacli
[rs] installs the native Rust filesystem search binding. The equivalent extra-dependency form is:
uv tool install yaacli --with ya-ripgrep-core
ya-ripgrep-core is a library dependency, so --with is the matching uv form; --with-executables-from applies to companion packages that also expose CLI executables.
Update with uv:
uv tool upgrade yaacli
Install with pip:
pip install 'yaacli[rs]'
yaacli
Run as a module:
python -m yaacli
Built-in Skills
YAACLI ships with building-agents from the repository canonical source skills/agent-builder/.
The YA Claw deployment skill lives in skills/ya-claw-deploy/ and is published as YA_CLAW_DEPLOY_SKILL.zip during release.
The repository sync script keeps bundled skill files under packages/yaacli/yaacli/skills/ aligned.
Development
This package lives in the ya-mono workspace.
git clone git@github.com:YOUR_NAME/ya-mono.git
cd ya-mono
uv sync --all-packages
cp packages/yaacli/.env.example packages/yaacli/.env
YAACLI loads .env from packages/yaacli/.env and the current working directory.
Provider API keys can live in that .env file or in ~/.yaacli/config.toml under [env].
SDK and tool variables such as YA_AGENT_* and search API keys can also live in that same .env file because YAACLI loads it into the process environment at startup.
Use packages/ya-agent-sdk/.env.example as the reference list for SDK and tool variables.
Codex OAuth credentials can be created once and reused from YAACLI:
uvx ya-oauth login codex
Then set model = "oauth@codex:gpt-5.5" in a YAACLI model profile.
Model profiles are configured in ~/.yaacli/config.toml and selected with /model inside the TUI:
[general]
model = "anthropic:claude-sonnet-4-5"
model_settings = "anthropic_adaptive_high"
model_cfg = "claude_200k"
[model_profiles.fast]
label = "Fast"
model = "openai-responses:gpt-5.6-luna"
model_settings = "openai_responses_luna"
model_cfg = "gpt5_270k"
[model_profiles.pro]
label = "GPT-5.6 Pro"
model = "openai-responses:gpt-5.6"
model_settings = "openai_responses_pro"
model_cfg = "gpt5_270k"
[model_profiles.sol]
label = "GPT-5.6 Sol"
model = "openai-responses:gpt-5.6-sol"
model_settings = "openai_responses_max"
model_cfg = "gpt5_270k"
[model_profiles.codex_oauth]
label = "Codex OAuth"
model = "oauth@codex:gpt-5.5"
model_settings = "openai_responses_high"
model_cfg = "gpt5_350k"
[general] is the startup fallback profile. The last selected profile is remembered in ~/.yaacli/state.json and restored on the next launch when that profile still exists.
Shell command review is configured in ~/.yaacli/config.toml under security.shell_review:
[security.shell_review]
enabled = true
model = "gateway@openai-responses:gpt-5.4-mini"
model_settings = "openai_responses_low"
on_needs_approval = "defer"
risk_threshold = "high"
When enabled, model is required. model_settings accepts SDK preset names or an inline TOML table. risk_threshold defaults to high and controls when the configured action triggers.
Run CLI tests from the workspace root:
make test-cli
Clipboard Image Paste
Plain terminal paste always inserts text into the input box.
Use Ctrl+V or /paste-image to attach an image from the system clipboard.
On macOS terminal apps over SSH, map Command+Shift+V to send Ctrl+V if you want a native-feeling shortcut.
YAACLI reads clipboard images through Pillow first on macOS and Windows.
macOS also reads Finder-copied image files through Cocoa pasteboard APIs via pyobjc-framework-Cocoa.
Linux image paste still relies on wl-paste on Wayland or xclip on X11.
License
BSD 3-Clause License. See the repository license.
1 maintainer
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