feat: implement bounded LLM request recovery
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@@ -35,6 +35,7 @@ Because the package wires no logger entry, an ACP leaf has **nothing to get wron
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| `skills` | owner defaults | registry-cache, local-provider, and model-facing skill-tool config, routed through `dsh-agent-spine-demo` |
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| `toolBash` | owner defaults | model-facing bash config routed through `dsh-agent-spine-demo`, including bash's producer-local `enableRunInBackground` |
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| `toolTasks` | owner defaults | generic `task_output` wait bounds routed through `dsh-agent-spine-demo` |
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| `llmRetry` | owner defaults | bounded transient model-request retry policy routed through `dsh-agent-spine-demo` |
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| `persistenceRoot` | `./.sessions` | the JSONL backend's root directory |
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The leaf supplies the swappable backends: an LLM adapter (`llm-deepseek` for the real model, `llm-replay` for keyless snapshot replay) and a bash executor.
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@@ -55,6 +55,8 @@ export interface Config {
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toolBash?: NonNullable<agentCore.Config['toolBash']>
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/** Generic background-task controls forwarded through agent-core; set false to omit their tool surface. */
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toolTasks?: NonNullable<agentCore.Config['toolTasks']>
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/** Bounded transient model-request retry policy forwarded through agent-core. */
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llmRetry?: NonNullable<agentCore.Config['llmRetry']>
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}
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// Each front door owns a complete, directly readable config schema; extracting
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@@ -76,6 +78,7 @@ export const Config: z<Config> = z.object({
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skills: agentCore.SkillConfigSchema,
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toolBash: agentCore.ToolBashConfigSchema,
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toolTasks: z.union([z.const(false), agentCore.ToolTasksConfigSchema]),
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llmRetry: agentCore.LlmRetryConfigSchema,
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})
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/* jscpd:ignore-end */
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