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# Installed as:
# ${XDG_CONFIG_HOME:-$HOME/.config}/tabbyml/config.toml
#
# The packaged systemd user service sets TABBY_ROOT to %E/tabbyml. For user
# services, %E resolves to XDG_CONFIG_HOME when set, otherwise $HOME/.config.
# Tabby reads config.toml from TABBY_ROOT.
#
# Documentation:
# https://tabby.tabbyml.com/docs/administration/config-toml/
# https://tabby.tabbyml.com/docs/administration/model/
# https://tabby.tabbyml.com/docs/administration/context/
[model.completion.local]
model_id = "StarCoder-1B"
[model.chat.local]
model_id = "Qwen2-1.5B-Instruct"
[model.embedding.local]
model_id = "Nomic-Embed-Text"
# Remote model connector examples. Enable only the sections you need.
#
# [model.chat.http]
# kind = "openai/chat"
# model_name = "gpt-4o"
# supported_models = ["gpt-4o", "gpt-4o-mini"]
# api_endpoint = "https://api.openai.com/v1"
# api_key = "your-api-key"
#
# [model.completion.http]
# kind = "llama.cpp/completion"
# model_name = "your-fim-model"
# api_endpoint = "http://localhost:8081"
# api_key = "secret-api-key"
# prompt_template = "<|fim_prefix|>{prefix}<|fim_suffix|>{suffix}<|fim_middle|>"
#
# [model.embedding.http]
# kind = "openai/embedding"
# model_name = "text-embedding-3-small"
# api_endpoint = "https://api.openai.com/v1"
# api_key = "your-api-key"
# Repository contexts are the OSS-compatible way to configure source-code context providers.
#
# [[repositories]]
# name = "tabby"
# git_url = "https://github.com/TabbyML/tabby.git"
#
# [[repositories]]
# name = "local-project"
# git_url = "file:///home/your-user/projects/local-project"
# Developer documentation contexts use llms.txt when available, otherwise Tabby
# uses Katana as a crawling backend. The AUR package exposes Katana as an optional dependency.
# [answer]
# system_prompt = """
# You are Tabby, an AI coding assistant for software developers.
# """
# [[additional_languages]]
# languages = ["swift"]
# exts = ["swift"]
# line_comment = "//"
# top_level_keywords = ["import", "let", "var", "func", "return"]
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