# AirContext compaction config.
#
# YOU MUST FILL these two fields (privacy-sensitive, never auto-populated):
#   - backend.endpoint   your LLM endpoint URL
#   - backend.api_key    either a literal value, or the ${env:VAR} placeholder
#                         pointing at an env var that holds the secret
#
# Everything else is auto-configured by `aircontext` on first run
# (model_context_window inferred from your Claude model setting, etc.) and
# you generally don't need to touch it. Edit freely if you want to override.
# `${env:VAR}` placeholders are resolved at runtime against environment
# variables (including those declared in ~/.claude/settings.json `env` block).

backend:
  type: anthropic_native                           # or openai_compat (auto-set by aircontext when possible)

  # >>> REQUIRED — fill before re-running aircontext <<<
  endpoint: ""                                     # e.g. https://api.anthropic.com  |  https://wolfai.top  |  http://localhost:11434/v1

  # >>> REQUIRED — fill or set the env var <<<
  api_key: ${env:ANTHROPIC_AUTH_TOKEN}             # change to ${env:OPENAI_API_KEY} or paste a literal value

  model: claude-haiku-4-5-20251001                 # cheap+fast for compression; raise to claude-sonnet-4-6 if quality insufficient
  max_output_tokens: 4000
  timeout_seconds: 60
  anthropic_version: "2023-06-01"                  # only used when type = anthropic_native

trigger:
  strategy: token_ratio
  threshold: 0.6                                   # compact when active chain reaches 60% of model_context_window
  cooldown_seconds: 300
  estimate_method: char_div_3_5
  model_context_window: 200000                     # auto-overridden on first aircontext run based on your claude model

compaction:
  preserve_tail_messages: 10
  drop_tool_results_over_lines: 1000
  rules_file: rules.md
  continuation_prompt: "基于上面的压缩摘要继续之前的工作；如果没有进行中的任务则等待我的下一条指令。"

safety:
  backup: true
  max_snapshots: 50
  dry_run: false