v1.9.7: ask_user_input elicitation tool
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@@ -405,6 +405,81 @@ export const skillResource: ToolDef<SkillResourceInputT> = {
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},
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};
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// Batch 9.7: ask_user_input. Interactive elicitation. The model emits a tool
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// call with 1-3 structured questions; the inference loop PAUSES (does not
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// execute the tool server-side, does not recurse) and waits for the frontend
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// to POST /api/chats/:id/answer_user_input with the user's selections. See
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// routes/messages.ts for the resume path and services/inference.ts for the
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// pause branch in executeToolPhase.
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const AskUserInputInput = z.object({
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questions: z
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.array(
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z.object({
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question: z.string().min(1).max(200),
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type: z.enum(['single_select', 'multi_select']),
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options: z.array(z.string().min(1).max(80)).min(2).max(6),
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}),
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)
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.min(1)
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.max(3),
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});
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type AskUserInputInputT = z.infer<typeof AskUserInputInput>;
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export const askUserInput: ToolDef<AskUserInputInputT> = {
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name: 'ask_user_input',
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description:
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"Ask the user 1-3 structured questions through an inline picker UI. Use when you genuinely need a choice the user must make (e.g. scope, options, preferences) before continuing. Each question has 2-6 options and accepts free-text answers in addition. The tool call pauses the conversation until the user submits — the next assistant turn sees their answers as the tool result. Do not use for trivial yes/no clarifications you could infer; prefer it over multi-paragraph speculation about what the user might want.",
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inputSchema: AskUserInputInput,
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jsonSchema: {
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type: 'function',
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function: {
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name: 'ask_user_input',
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description:
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'Ask the user 1-3 structured questions through an inline picker. Pauses the conversation until the user answers; the next turn sees their selections.',
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parameters: {
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type: 'object',
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properties: {
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questions: {
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type: 'array',
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minItems: 1,
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maxItems: 3,
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items: {
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type: 'object',
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properties: {
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question: { type: 'string', description: '<=200 chars, shown to the user' },
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type: {
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type: 'string',
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enum: ['single_select', 'multi_select'],
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description: 'single_select = at most one option; multi_select = any subset',
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},
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options: {
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type: 'array',
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minItems: 2,
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maxItems: 6,
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items: { type: 'string' },
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description: '2-6 strings, each <=80 chars; free-text input is always available alongside',
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},
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},
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required: ['question', 'type', 'options'],
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additionalProperties: false,
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},
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},
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},
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required: ['questions'],
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additionalProperties: false,
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},
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},
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},
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// Server-side no-op. The "execution" of ask_user_input is the user's
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// response, captured client-side and posted to /api/chats/:id/answer_user_input.
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// The inference loop detects this tool by name and pauses before reaching
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// executeToolCall — this fallback only runs if something bypasses that
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// branch, in which case the pending sentinel matches the pause-path shape.
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async execute(input) {
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return { _pending: true, questions: input.questions };
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},
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};
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export const ALL_TOOLS: ReadonlyArray<ToolDef<unknown>> = [
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viewFile as ToolDef<unknown>,
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listDir as ToolDef<unknown>,
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@@ -414,6 +489,7 @@ export const ALL_TOOLS: ReadonlyArray<ToolDef<unknown>> = [
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skillFind as ToolDef<unknown>,
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skillUse as ToolDef<unknown>,
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skillResource as ToolDef<unknown>,
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askUserInput as ToolDef<unknown>,
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];
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// v1.8.2: forward-compatible read-only whitelist. An agent whose `tools` is
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@@ -422,6 +498,8 @@ export const ALL_TOOLS: ReadonlyArray<ToolDef<unknown>> = [
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// default (10). Every tool in v1.8.2 happens to be read-only, so the
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// non-RO branch only takes effect once BooCoder lands write tools.
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// Batch 9.6: skill_* added; all still read-only.
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// Batch 9.7: ask_user_input added — it pauses execution but doesn't mutate
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// project state, so it belongs in the read-only set for budget purposes.
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export const READ_ONLY_TOOL_NAMES = [
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'view_file',
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'list_dir',
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@@ -431,6 +509,7 @@ export const READ_ONLY_TOOL_NAMES = [
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'skill_find',
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'skill_use',
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'skill_resource',
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'ask_user_input',
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] as const;
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export const TOOLS_BY_NAME: Record<string, ToolDef<unknown>> = Object.fromEntries(
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