v2.3.0-sampling-params-ask-user: agent sampling params, ask_user_input in CoderPane, UX polish

Add top_p/top_k/min_p/presence_penalty to AGENTS.md frontmatter and thread
through inference (agents.ts parser → Agent type → stream-phase → sentinel
summaries). Null means omit from request body, preserving provider defaults.

Wire ask_user_input interactive card into both BooCoder frontends: the
CoderPane in BooChat's SPA (CoderMessageList now renders AskUserInputCard
instead of ToolCallLine for ask_user_input tool calls) and the standalone
coder SPA (MessageBubble + new AskUserInputCard + shadcn ui primitives).

Additional fixes: SessionLandingPage uses ChatInput with slash-command
support and lazy chat creation; Session.tsx hydrate-race fix for empty pane
promotion; AgentPicker wider dropdown with line-clamp; ModelPicker min-width;
Textarea converted to forwardRef; Recon agent added to AGENTS.md; codecontext
host port exposed in docker-compose.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

apps/coder/web/src/api/client.ts

@@ -1,4 +1,4 @@
-import type { Project, Session, Chat, Message, PendingChange } from './types';
+import type { Project, Session, Chat, Message, PendingChange, AskUserAnswer } from './types';
 
 export class ApiError extends Error {
   constructor(
@@ -52,6 +52,14 @@ export const api = {
         method: 'POST',
         body: JSON.stringify(body ?? {}),
       }),
+    answerUserInput: (chatId: string, toolCallId: string, answers: AskUserAnswer[]) =>
+      request<{ tool_message_id: string; assistant_message_id: string }>(
+        `/api/chats/${chatId}/answer_user_input`,
+        {
+          method: 'POST',
+          body: JSON.stringify({ tool_call_id: toolCallId, answers }),
+        },
+      ),
   },
 
   messages: {

apps/coder/web/src/api/types.ts

@@ -32,16 +32,37 @@ export interface Chat {
 export interface ToolCall {
   id: string;
   name: string;
-  arguments: string;
+  args: unknown;
 }
 
 export interface ToolResult {
   tool_call_id: string;
-  output: string;
+  output: unknown;
   truncated?: boolean;
   error?: boolean;
 }
 
+// Batch 9.7: ask_user_input shapes. The tool_call.args is { questions: AskUserQuestion[] }
+// (1-3 entries); the eventual tool_result.output is { answers: AskUserAnswer[] } in the
+// same order. AskUserInputCard renders questions and POSTs answers.
+export type AskUserQuestionType = 'single_select' | 'multi_select';
+
+export interface AskUserQuestion {
+  question: string;
+  type: AskUserQuestionType;
+  options: string[];
+}
+
+export interface AskUserAnswer {
+  question: string;
+  selected_options: string[];
+  free_text: string | null;
+}
+
+export interface AskUserAnswerSet {
+  answers: AskUserAnswer[];
+}
+
 export interface Message {
   id: string;
   session_id: string;