{"type":"message","id":"ae5de4c0","parentId":"ec400fc2","timestamp":"2026-02-16T00:58:18.815Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"找到了!配置文档说:\n\n> `agents.defaults.compaction.mode` selects the compaction summarization strategy. Defaults to `default`; set `safeguard` to enable chunked summarization for very long histories.\n\n所以蒋先生配置的是 `safeguard`,这是针对超长历史的分块摘要策略。但这个模式可能有问题或者没有被正确触发。\n\n让我检查一下 safeguard 和 default 的区别。","thinkingSignature":"6796bc5b4037040c2345232e61e8b9a1b84413d03356ebfaf04a0b91f2984316"},{"type":"toolCall","id":"call_function_qhqt5zs9ihny_1","name":"exec","arguments":{"command":"grep -A 30 \"compaction\" ~/.npm-global/lib/node_modules/openclaw/docs/gateway/configuration.md | head -50"}}],"api":"anthropic-messages","provider":"mm","model":"MiniMax-M2.5","usage":{"input":22376,"output":134,"cacheRead":14957,"cacheWrite":0,"totalTokens":37467,"cost":{"input":0.33564,"output":0.00804,"cacheRead":0.029914,"cacheWrite":0,"total":0.373594}},"stopReason":"toolUse","timestamp":1771203494982}}
{"type":"message","id":"a5349bfa","parentId":"ae5de4c0","timestamp":"2026-02-16T00:58:18.828Z","message":{"role":"toolResult","toolCallId":"call_function_qhqt5zs9ihny_1","toolName":"exec","content":[{"type":"text","text":"`params` is also applied to streaming runs (embedded agent + compaction). Supported keys today: `temperature`, `maxTokens`. These merge with call-time options; caller-supplied values win. `temperature` is an advanced knob—leave unset unless you know the model’s defaults and need a change.\n\nExample:\n\n```json5\n{\n agents: {\n defaults: {\n models: {\n \"anthropic/claude-sonnet-4-5-20250929\": {\n params: { temperature: 0.6 },\n },\n \"openai/gpt-5.2\": {\n params: { maxTokens: 8192 },\n },\n },\n },\n },\n}\n```\n\nZ.AI GLM-4.x models automatically enable thinking mode unless you:\n\n- set `--thinking off`, or\n- define `agents.defaults.models[\"zai/<model>\"].params.thinking` yourself.\n\nOpenClaw also ships a few built-in alias shorthands. Defaults only apply when the model\nis already present in `agents.defaults.models`:\n\n- `opus` -> `anthropic/claude-opus-4-6`\n- `sonnet` -> `anthropic/claude-sonnet-4-5`\n--\n#### `agents.defaults.compaction` (reserve headroom + memory flush)\n\n`agents.defaults.compaction.mode` selects the compaction summarization strategy. Defaults to `default`; set `safeguard` to enable chunked summarization for very long histories. See [/concepts/compaction](/concepts/compaction).\n\n`agents.defaults.compaction.reserveTokensFloor` enforces a minimum `reserveTokens`\nvalue for Pi compaction (default: `20000`). Set it to `0` to disable the floor.\n\n`agents.defaults.compaction.memoryFlush` runs a **silent** agentic turn before\nauto-compaction, instructing the model to store durable memories on disk (e.g.\n`memory/YYYY-MM-DD.md`). It triggers when the session token estimate crosses a\nsoft threshold below the compaction limit.\n\nLegacy defaults:\n\n- `memoryFlush.enabled`: `true`\n- `memoryFlush.softThresholdTokens`: `4000`\n- `memoryFlush.prompt` / `memoryFlush.systemPrompt`: built-in defaults with `NO_REPLY`\n- Note: memory flush is skipped when the session workspace is read-only"}],"details":{"status":"completed","exitCode":0,"durationMs":8,"aggregated":"`params` is also applied to streaming runs (embedded agent + compaction). Supported keys today: `temperature`, `maxTokens`. These merge with call-time options; caller-supplied values win. `temperature` is an advanced knob—leave unset unless you know the model’s defaults and need a change.\n\nExample:\n\n```json5\n{\n agents: {\n defaults: {\n models: {\n \"anthropic/claude-sonnet-4-5-20250929\": {\n params: { temperature: 0.6 },\n },\n \"openai/gpt-5.2\": {\n params: { maxTokens: 8192 },\n },\n },\n },\n },\n}\n```\n\nZ.AI GLM-4.x models automatically enable thinking mode unless you:\n\n- set `--thinking off`, or\n- define `agents.defaults.models[\"zai/<model>\"].params.thinking` yourself.\n\nOpenClaw also ships a few built-in alias shorthands. Defaults only apply when the model\nis already present in `agents.defaults.models`:\n\n- `opus` -> `anthropic/claude-opus-4-6`\n- `sonnet` -> `anthropic/claude-sonnet-4-5`\n--\n#### `agents.defaults.compaction` (reserve headroom + memory flush)\n\n`agents.defaults.compaction.mode` selects the compaction summarization strategy. Defaults to `default`; set `safeguard` to enable chunked summarization for very long histories. See [/concepts/compaction](/concepts/compaction).\n\n`agents.defaults.compaction.reserveTokensFloor` enforces a minimum `reserveTokens`\nvalue for Pi compaction (default: `20000`). Set it to `0` to disable the floor.\n\n`agents.defaults.compaction.memoryFlush` runs a **silent** agentic turn before\nauto-compaction, instructing the model to store durable memories on disk (e.g.\n`memory/YYYY-MM-DD.md`). It triggers when the session token estimate crosses a\nsoft threshold below the compaction limit.\n\nLegacy defaults:\n\n- `memoryFlush.enabled`: `true`\n- `memoryFlush.softThresholdTokens`: `4000`\n- `memoryFlush.prompt` / `memoryFlush.systemPrompt`: built-in defaults with `NO_REPLY`\n- Note: memory flush is skipped when the session workspace is read-only","cwd":"/home/starmen1265/.openclaw/agents/haonan/workspace"},"isError":false,"timestamp":1771203498827}}
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