String stdout,
        String stderr
    ) {
        @Override
        public String toString() {
            return "exitCode=" + exitCode + ", stdout=" + summarize(stdout) + ", stderr=" + summarize(stderr);
        }

        private static String summarize(String s) {
            if (s == null) return "null";
            String t = s.replace("\n", "\\n");

        int returnCode
    ) {
        @Override
        public String toString() {
            return "ExecResult{returnCode=" + returnCode + ", stdout=" + summarize(stdout) + ", stderr=" + summarize(stderr) + "}";
        }

        private static String summarize(String s) {
            if (s == null) return "null";
            String t = s.replace("\n", "\\n");
            if (t.length() > 500) {

            this.stderr = stderr;
        }

        @Override
        public String toString() {
            return "exitCode=" + exitCode + ", stdout=" + summarize(stdout) + ", stderr=" + summarize(stderr);
        }

        private static String summarize(String s) {
            if (s == null) return "null";
            String t = s.replace("\n", "\\n");

        return new IntentDetectionResult(ChatIntent.SEARCH, query, null, reasoning);
    }

    /**
     * Creates a summary intent result for a specific document.
     *
     * @param documentUrl the document URL to summarize
     * @param reasoning the detection reasoning
     * @return the summary intent result
     */
    public static IntentDetectionResult summary(final String documentUrl, final String reasoning) {

    /**
     * Generates a summary of the specified documents.
     *
     * @param userMessage the user's message
     * @param documents the documents to summarize
     * @param history the conversation history
     * @param callback the streaming callback
     */
    void generateSummaryResponse(String userMessage, List<Map<String, Object>> documents, List<LlmMessage> history,

    return methods_.summarize != nullptr;
  }

  absl::Status SummarizeValue(std::string& summary) const override {
    if (methods_.summarize == nullptr) {
      return tensorflow::CustomDeviceTensorHandle::SummarizeValue(summary);
    }
    TF_Status c_status;
    std::unique_ptr<TF_Buffer, decltype(&TF_DeleteBuffer)> summary_buffer(
        methods_.summarize(data_, &c_status), TF_DeleteBuffer);

                    captured.append(msg.getContent());
                }
            }
            callback.onChunk("response", true);
        });

        client.generateSummaryResponse("summarize", documents, history, (chunk, done) -> {});

        final String systemMsg = captured.toString();
        assertTrue(systemMsg.contains("HTML content"));
        assertFalse(systemMsg.contains("<p>"));

- `context_values`: are values like the bucket and object name and other information which should be cryptographically bound to the KEK.

To summarize for any encrypted object there exists (at least) three different keys:

    }

    /**
     * Generates a summary of the specified documents.
     *
     * @param userMessage the user's message
     * @param documents the documents to summarize
     * @param history the conversation history
     * @param callback the streaming callback
     * @throws LlmException if LLM is not available
     */

 * forms of variance -- that were computed from a single set of zero or more floating-point values.
 *
 * <p>There are two ways to obtain a {@code Stats} instance:
 *
 * <ul>
 *   <li>If all the values you want to summarize are already known, use the appropriate {@code
 *       Stats.of} factory method below. Primitive arrays, iterables and iterators of any kind of
 *       {@code Number}, and primitive varargs are supported.