* @param paramMap the parameters to bind to the script (null-safe, treated as empty map if null)
     * @return the result of script evaluation, or null if the template is empty or evaluation fails
     * @throws JobProcessingException if the script explicitly throws this exception
     *         (allows scripts to signal job-specific errors that should propagate)
     */
    @Override

        this.documentNotFoundSystemPrompt = documentNotFoundSystemPrompt;
    }

    /** Sets the prompt for evaluating responses.
     * @param evaluationPrompt the evaluation prompt */
    public void setEvaluationPrompt(final String evaluationPrompt) {
        this.evaluationPrompt = evaluationPrompt;
    }

            copied: 'Copied!',
            copyFailed: 'Copy failed',
            phases: {
                intent: 'Analyzing question...',
                search: 'Searching documents...',
                evaluate: 'Evaluating results...',
                fetch: 'Retrieving content...',
                answer: 'Generating answer...'
            },
            errors: {

                } else {
                    // Phase 3: Evaluate results
                    phaseStartTime = System.currentTimeMillis();
                    callback.onPhaseStart(ChatPhaseCallback.PHASE_EVALUATE, "Evaluating relevance...");
                    RelevanceEvaluationResult evalResult = llmClientManager.evaluateResults(userMessage, query, searchResults);
                    callback.onPhaseComplete(ChatPhaseCallback.PHASE_EVALUATE);

   * stream.collect(ImmutableMap.toImmutableMap(keyFunction, v -> v))}.
   *
   * @param keyFunction the function used to produce the key for each value
   * @return a map mapping the result of evaluating the function {@code keyFunction} on each value
   *     in this fluent iterable to that value
   * @throws IllegalArgumentException if {@code keyFunction} produces the same key for more than one

   * stream.collect(ImmutableMap.toImmutableMap(keyFunction, v -> v))}.
   *
   * @param keyFunction the function used to produce the key for each value
   * @return a map mapping the result of evaluating the function {@code keyFunction} on each value
   *     in this fluent iterable to that value
   * @throws IllegalArgumentException if {@code keyFunction} produces the same key for more than one

   *
   * @param values the values to use when constructing the {@code Map}
   * @param keyFunction the function used to produce the key for each value
   * @return a map mapping the result of evaluating the function {@code keyFunction} on each value
   *     in the input collection to that value
   * @throws IllegalArgumentException if {@code keyFunction} produces the same key for more than one

   *
   * @param values the values to use when constructing the {@code Map}
   * @param keyFunction the function used to produce the key for each value
   * @return a map mapping the result of evaluating the function {@code keyFunction} on each value
   *     in the input collection to that value
   * @throws IllegalArgumentException if {@code keyFunction} produces the same key for more than one

precision, and vice versa.
</p>


<h3 id="Order_of_evaluation">Order of evaluation</h3>

<p>
At package level, <a href="#Package_initialization">initialization dependencies</a>
determine the evaluation order of individual initialization expressions in
<a href="#Variable_declarations">variable declarations</a>.
Otherwise, when evaluating the <a href="#Operands">operands</a> of an
expression, assignment, or

*   Added experimental support for an exactly-once visitation guarantee for evaluating Keras models trained with `tf.distribute ParameterServerStrategy`, via the `exact_evaluation_shards` argument in `Model.fit` and `Model.evaluate`.