Files
dots/common/.config/aichat/config.yaml
T
coja a700e23e0a [Sync] adopt unified stow layout from the private repo
Mirrors the private dots tree at 900bdda: one shared base plus per-host
overlays, replacing the old flat .config/ layout (last synced 2026-06-28).

- packages: common/ gui/ wm/ lw/ fl/ + install.sh and bin/ tooling (dotsync,
  reconcile-hyde.sh)
- new README (layout, deploy order, HyDE dependency), plus ToDo.md and
  HYDE-UPDATE.md
- current HyDE waybar rig (layouts/, cava), pi agent extensions, claude/
  config, tmux, presenterm, aichat roles
- drops stale duplicates and generated cruft that should never have been
  tracked: the second top-level .pi/ copy, btop.log, zellij config.kdl.bak,
  fish_variables, nvim codecompanion.lua
- .pi/agent/auth.json is gitignored now; auth.json.example ships instead
- fl/ and wm/ hypr themes/ stay untracked (HyDE-generated per machine, per
  the root .gitignore)
2026-08-12 22:50:18 +02:00

56 lines
2.2 KiB
YAML

# see https://github.com/sigoden/aichat/blob/main/config.example.yaml
keybindings: vi
editor: nvim
model: local:Qwen3-Coder-30B-Instruct-UD-Q3_K_XL
# Sessions: persist REPL sessions and keep more history before summarizing.
# The default compress_threshold (4000) summarizes far too early for 24k+ windows.
save_session: true
compress_threshold: 16000
# REPL prompts show live context usage (needs max_input_tokens, set per model below)
left_prompt: '{color.green}{?session {session}{?role /}}{role}{color.cyan}{?rag @{rag}}{color.reset}> '
right_prompt: '{color.purple}{?session {consume_tokens}/{max_input_tokens} }{color.reset}'
# NOTE: temperature/top_p are intentionally unset — the LAN server applies tuned
# per-model sampling via --jinja (e.g. GLM 0.6/0.95); a global value would clobber it.
# max_input_tokens = real ctx-size (from the router) minus output headroom.
clients:
# LAN access (fast; only reachable on the home network)
- type: openai-compatible
name: local
api_base: http://192.168.0.204:11343/v1
models: &lan_models
- name: Qwen3-Coder-30B-Instruct-UD-Q3_K_XL
max_input_tokens: 30000 # ctx 32768
- name: Qwen3-Coder-Next-UD-IQ3_XXS
max_input_tokens: 128000 # ctx 131072
- name: Qwen3.6-35B-A3B-MTP-UD-IQ3_XXS
max_input_tokens: 22000 # ctx 24576
supports_vision: true
- name: Qwen3.6-35B-A3B-Thinking
max_input_tokens: 22000 # ctx 24576
supports_vision: true
- name: Qwen3.5-9B-UD-Q6_K_XL
max_input_tokens: 30000 # ctx 32768
supports_vision: true
- name: gemma-4-26B-A4B-it-UD-IQ4_XS
max_input_tokens: 22000 # ctx 24576
supports_vision: true
- name: gemma-4-E4B-it-UD-Q8_K_XL
max_input_tokens: 62000 # ctx 65536
supports_vision: true
- name: GLM-4.7-Flash-UD-Q4_K_XL
max_input_tokens: 22000 # ctx 24576
- name: gpt-oss-20b
max_input_tokens: 62000 # ctx 65536
- name: gpt-oss-20b-low
max_input_tokens: 62000 # ctx 65536
# Remote access via duskadiy.com (reachable from anywhere; no key required)
# Same server, same model ids — reuse the list above via a YAML anchor.
- type: openai-compatible
name: duskadiy
api_base: https://llm.duskadiy.com/api/v1
models: *lan_models