[Init] Initial commit - NetMesh terminal manager

infrastructure/ai/harness/largeUserInput.ts

@@ -0,0 +1,50 @@
+import type { ToolOutputStore } from './toolOutputStore';
+
+const LARGE_USER_INPUT_THRESHOLD_CHARS = 25_000;
+const LARGE_USER_INPUT_HEAD_CHARS = 12_000;
+const LARGE_USER_INPUT_TAIL_CHARS = 4_000;
+
+const handlesByStore = new WeakMap<ToolOutputStore, Map<string, string>>();
+
+function hashInput(input: string): string {
+  let hash = 0x811c9dc5;
+  for (let index = 0; index < input.length; index += 1) {
+    hash ^= input.charCodeAt(index);
+    hash = Math.imul(hash, 0x01000193);
+  }
+  return (hash >>> 0).toString(36);
+}
+
+function getStableHandleId(
+  input: string,
+  chatSessionId: string,
+  toolOutputStore: ToolOutputStore,
+): string {
+  const handles = handlesByStore.get(toolOutputStore) ?? new Map<string, string>();
+  handlesByStore.set(toolOutputStore, handles);
+  const key = `${chatSessionId}:${input.length}:${hashInput(input)}`;
+  const existingId = handles.get(key);
+  if (existingId && toolOutputStore.get(existingId, chatSessionId)) return existingId;
+
+  const handleId = toolOutputStore.store({
+    chatSessionId,
+    capabilityId: 'user.input',
+    content: input,
+  }).id;
+  handles.set(key, handleId);
+  return handleId;
+}
+
+export function fitLargeUserInputForModel(
+  input: string,
+  chatSessionId: string,
+  toolOutputStore: ToolOutputStore,
+): string {
+  if (input.length <= LARGE_USER_INPUT_THRESHOLD_CHARS) return input;
+  const handleId = getStableHandleId(input, chatSessionId, toolOutputStore);
+  return [
+    input.slice(0, LARGE_USER_INPUT_HEAD_CHARS),
+    `\n\n[... large user input moved to saved output: ${input.length} chars, handleId=${handleId}. Use tool_output_read with range or search for omitted details ...]\n\n`,
+    input.slice(-LARGE_USER_INPUT_TAIL_CHARS),
+  ].join('');
+}