contexting/context.toml at main · ktappdev/contexting · GitHub

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[common]
output = ".ctxt/ctx_index.json"
synonym_cache = ".ctxt/ctx_cache.json"
llm_model = "qwen3.5-4b"
batch_size = 0
synonyms = 10
ignore = [".git", ".venv", "site-packages", "__pycache__", "node_modules", "vendor", "dist"]
verbose = true

[llm]
# LLM provider name shown in logs (cosmetic)
provider = "local"
# API endpoint - OpenAI-compatible
endpoint = "https://llama.kentaylor.dev/v1/chat/completions"
# Model to use
model = "qwen3.5-4b"
# API key (not needed for local endpoint)
api_key = ""
# Environment variable containing API key (not needed for local)
api_key_env = ""
# Sampling parameters
temperature = 0.0
max_tokens = 0

[init]
root = "."

[watch]
root = "."
debounce = "750ms"
llm = true
persist = "shutdown"
persist_interval = "45s"
search_log = true
search_log_query_max = 120
max_batch_size = 0

[search]
index = "ctx_index.json"
limit = 5
min_score = 1
type = "all"
dir_summary = false
dir_limit = 5
drill_limit = 3
memory = true
runtime_file = "ctx_runtime.json"
explain = false
json = false
show_tokens = false

[eval]
index = "ctx_index.json"
cases = "ctx_cases.json"
limit = 5
min_score = 1
type = "all"
explain = false
json = false