Function useSendMessageOptions

src/browser/hooks/useSendMessageOptions.ts:30–97

(workspaceId: string)

 * Subscribes to persisted preferences so model/thinking/agent changes propagate automatically.
 */
export function useSendMessageOptions(workspaceId: string): SendMessageOptionsWithBase {
  const [thinkingLevel] = useThinkingLevel();
  const { agentId, disableWorkspaceAgents } = useAgent();
  const { workspaceMetadata } = useWorkspaceContext();
  const { options: providerOptions } = useProviderOptions();

  // Subscribe to the global default model preference so backend-seeded values apply
  // immediately on fresh origins (e.g., when switching ports).
  const [defaultModelPref] = usePersistedState<string>(
    DEFAULT_MODEL_KEY,
    WORKSPACE_DEFAULTS.model,
    { listener: true }
  );
  const defaultModel = normalizeModelPreference(defaultModelPref, WORKSPACE_DEFAULTS.model);

  // Workspace-scoped model preference. If unset, fall back to metadata, then global default.
  // Note: we intentionally *don't* pass defaultModel as the usePersistedState initialValue;
  // initialValue is sticky and would lock in the fallback before startup seeding.
  const [preferredModel] = usePersistedState<string | null>(getModelKey(workspaceId), null, {
    listener: true,
  });

  // Subscribe to local override state so toggles apply immediately.
  // If undefined, the backend will apply the PostHog assignment.
  const programmaticToolCalling = useExperimentOverrideValue(
    EXPERIMENT_IDS.PROGRAMMATIC_TOOL_CALLING
  );
  const programmaticToolCallingExclusive = useExperimentOverrideValue(
    EXPERIMENT_IDS.PROGRAMMATIC_TOOL_CALLING_EXCLUSIVE
  );
  const advisorTool = useExperimentOverrideValue(EXPERIMENT_IDS.ADVISOR_TOOL);
  const execSubagentHardRestart = useExperimentOverrideValue(
    EXPERIMENT_IDS.EXEC_SUBAGENT_HARD_RESTART
  );
  const dynamicWorkflows = useExperimentOverrideValue(EXPERIMENT_IDS.DYNAMIC_WORKFLOWS);
  const memory = useExperimentOverrideValue(EXPERIMENT_IDS.MEMORY);

  // Prefer metadata over the global default until workspace localStorage seeding catches up.
  const metadataSettings = getWorkspaceAiSettingsFromMetadata(
    workspaceMetadata.get(workspaceId),
    agentId
  );
  const baseModel = normalizeModelPreference(
    preferredModel,
    metadataSettings.model ?? defaultModel
  );

  const options = buildSendMessageOptions({
    agentId,
    thinkingLevel,
    model: baseModel,
    providerOptions,
    experiments: {
      programmaticToolCalling,
      programmaticToolCallingExclusive,
      advisorTool,
      execSubagentHardRestart,
      dynamicWorkflows,