45 lines
2.0 KiB
YAML
45 lines
2.0 KiB
YAML
# AirContext compaction config.
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#
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# YOU MUST FILL these two fields (privacy-sensitive, never auto-populated):
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# - backend.endpoint your LLM endpoint URL
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# - backend.api_key either a literal value, or the ${env:VAR} placeholder
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# pointing at an env var that holds the secret
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#
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# Everything else is auto-configured by `aircontext` on first run
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# (model_context_window inferred from your Claude model setting, etc.) and
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# you generally don't need to touch it. Edit freely if you want to override.
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# `${env:VAR}` placeholders are resolved at runtime against environment
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# variables (including those declared in ~/.claude/settings.json `env` block).
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backend:
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type: anthropic_native # or openai_compat (auto-set by aircontext when possible)
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# >>> REQUIRED — fill before re-running aircontext <<<
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endpoint: "" # e.g. https://api.anthropic.com | https://wolfai.top | http://localhost:11434/v1
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# >>> REQUIRED — fill or set the env var <<<
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api_key: ${env:ANTHROPIC_AUTH_TOKEN} # change to ${env:OPENAI_API_KEY} or paste a literal value
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model: claude-haiku-4-5-20251001 # cheap+fast for compression; raise to claude-sonnet-4-6 if quality insufficient
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max_output_tokens: 4000
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timeout_seconds: 60
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anthropic_version: "2023-06-01" # only used when type = anthropic_native
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trigger:
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strategy: token_ratio
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threshold: 0.6 # compact when active chain reaches 60% of model_context_window
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cooldown_seconds: 300
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estimate_method: char_div_3_5
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model_context_window: 200000 # auto-overridden on first aircontext run based on your claude model
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compaction:
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preserve_tail_messages: 10
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drop_tool_results_over_lines: 1000
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rules_file: rules.md
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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。"
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safety:
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backup: true
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max_snapshots: 50
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dry_run: false
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