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fix(agents): move lean local-model mode behind experimental flag
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@@ -1,4 +1,4 @@
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8ae312a03361238f30a2454258808744b7ad6a5d079ff321eaa60f4b8af82005 config-baseline.json
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2dac6cea7a03051e10c4f1ceeb8025c23220a550b940156d6eddeb8e3ecd75f1 config-baseline.core.json
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900c26a9b060f1dfa712abfba877bd3bf9c7b0c9f2294faf9834038283ec24b6 config-baseline.json
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d956a1d60f776bba712cb04374a4f5657cad95bb088b536c5e3e4e29d4a21328 config-baseline.core.json
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ef83a06633fc001b5b2535566939186ecb49d05cd1a90b40e54cc58d3e6e44e3 config-baseline.channel.json
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5f5d4e850df6e9854a85b5d008236854ce185c707fdbb566efcf00f8c08b36e3 config-baseline.plugin.json
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@@ -165,8 +165,9 @@ Compatibility notes for stricter OpenAI-compatible backends:
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agent-runtime prompt shape, especially when tool schemas are included. If the
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backend works for tiny direct `/v1/chat/completions` calls but fails on normal
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OpenClaw agent turns, first try
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`agents.defaults.localModelMode: "lean"` to drop heavyweight default tools
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like `browser`, `cron`, and `message`; if that still fails, try
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`agents.defaults.experimental.localModelLean: true` to drop heavyweight
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default tools like `browser`, `cron`, and `message`; this is an experimental
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flag, not a stable default-mode setting. If that still fails, try
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`models.providers.<provider>.models[].compat.supportsTools: false`.
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- If the backend still fails only on larger OpenClaw runs, the remaining issue
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is usually upstream model/server capacity or a backend bug, not OpenClaw's
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