private int distinctElements;
    private long totalCount;
    private int height;
    private @Nullable AvlNode<E> left;
    private @Nullable AvlNode<E> right;
    /*
     * pred and succ are nullable after construction, but we always call successor() to initialize
     * them immediately thereafter.
     *
     * They may be subsequently nulled out by TreeMultiset.clear(). I think that the only place that

    return this;
  }

  /**
   * Sets distinct values for {@code type}, so that when a class {@code Foo} is tested for {@link
   * Object#equals} and {@link Object#hashCode}, and its construction requires a parameter of {@code
   * type}, the distinct values of {@code type} can be passed as parameters to create {@code Foo}
   * instances that are unequal.
   *

     */
    protected boolean isResponse() {
        return (this.flags & SmbConstants.FLAGS_RESPONSE) == SmbConstants.FLAGS_RESPONSE;
    }

    /*
     * For this packet deconstruction technique to work for
     * other networking protocols the InputStream may need
     * to be passed to the readXxxWireFormat methods. This is
     * actually purer. However, in the case of smb we know the

  @WeakOuter
  private final class Heap {
    final Ordering<E> ordering;

    @SuppressWarnings("nullness:initialization.field.uninitialized")
    @Weak
    Heap otherHeap; // always initialized immediately after construction

    Heap(Ordering<E> ordering) {
      this.ordering = ordering;
    }

    int compareElements(int a, int b) {
      return ordering.compare(elementData(a), elementData(b));
    }

    /**

 * instance should be created every time the method is called.
 *
 * <p>For example, the subclass could pass a {@link java.util.TreeMap} during construction, and
 * {@link #createCollection()} could return a {@link java.util.TreeSet}, in which case the
 * multimap's iterators would propagate through the keys and values in sorted order.
 *

#endif  // !IS_MOBILE_PLATFORM

using tensorflow::string;

namespace {

string DeviceName(const tensorflow::Device* d) {
  return (d == nullptr) ? "cpu:0" : d->name();
}

// Annotate eager runtime construction context to the given `function_def` as
// an attribute.
void AnnotateEagerRuntimeConstructionContext(
    tensorflow::FunctionDef& function_def) {
  tensorflow::AttrValue value;
  SetAttrValue("kEagerRuntime", &value);

            "issue at https://github.com/tensorflow/tensorflow/issues.");
        return;
      }
      // We have a convoluted scheme here: Using the C++ graph construction API
      // to add potentially many nodes to the graph without running the checks
      // (such as uniqueness of the names of nodes) we run with other functions

 * instance should be created every time the method is called.
 *
 * <p>For example, the subclass could pass a {@link java.util.TreeMap} during construction, and
 * {@link #createCollection()} could return a {@link java.util.TreeSet}, in which case the
 * multimap's iterators would propagate through the keys and values in sorted order.
 *

   * is {@code 60}, and the concurrency level is {@code 8}, then eight segments are created, each
   * having a hash table of size eight. Providing a large enough estimate at construction time
   * avoids the need for expensive resizing operations later, but setting this value unnecessarily
   * high wastes memory.
   *
   * @return this {@code CacheBuilder} instance (for chaining)

 *
 * Orchestrates the multi-phase RAG workflow including session management,
 * document search, and delegation to LlmClientManager for LLM operations.
 * Prompt construction and LLM-specific logic is handled by LlmClient implementations.
 *
 * @author FessProject
 */
public class ChatClient {

    private static final Logger logger = LogManager.getLogger(ChatClient.class);