* either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.llm;

import org.codelibs.fess.exception.FessSystemException;

/**
 * Exception thrown when an error occurs during LLM operations.
 *
 * @author FessProject
 */
public class LlmException extends FessSystemException {

    private static final long serialVersionUID = 1L;

# LLM test file { #llm-test-file }

This document tests if the <abbr title="Large Language Model">LLM</abbr>, which translates the documentation, understands the `general_prompt` in `scripts/translate.py` and the language specific prompt in `docs/{language code}/llm-prompt.md`. The language specific prompt is appended to `general_prompt`.

Tests added here will be seen by all designers of language specific prompts.

Use as follows:

# LLM テストファイル { #llm-test-file }

このドキュメントは、ドキュメントを翻訳する <abbr title="Large Language Model - 大規模言語モデル">LLM</abbr> が、`scripts/translate.py` の `general_prompt` と、`docs/{language code}/llm-prompt.md` の言語固有プロンプトを理解しているかをテストします。言語固有プロンプトは `general_prompt` の末尾に追加されます。

ここに追加したテストは、すべての言語固有プロンプトの設計者が参照します。

使い方:

* 言語固有プロンプトを用意します - `docs/{language code}/llm-prompt.md`。

     */
    @Size(max = 1000)
    public String storageCredentialsPath;

    /**
     * RAG LLM provider name.
     * Selects which LLM client to use for RAG operations.
     */
    @Size(max = 100)
    public String ragLlmName;

    /**
     * LLM log level.
     * Controls the logging level for LLM-related packages.
     */
    @Size(max = 10)
    public String llmLogLevel;

    }

    @Test
    public void test_addSearchLog_accessType_customLlmName() {
        final SearchLog searchLog = callCreateSearchLogAndGetResult("my-custom-llm");
        assertEquals("my-custom-llm", searchLog.getAccessType());
    }

    @Test
    public void test_addSearchLog_accessType_blankStringDefaultsToWeb() {
        final SearchLog searchLog = callCreateSearchLogAndGetResult("");

		<Logger name="org.codelibs.fess.llm" additivity="false" level="${llm.log.level}">
			<AppenderRef ref="LlmFile" />
		</Logger>
		<Logger name="org.codelibs.fess.chat" additivity="false" level="${llm.log.level}">
			<AppenderRef ref="LlmFile" />
		</Logger>
		<Logger name="org.codelibs.fess.api.chat" additivity="false" level="${llm.log.level}">
			<AppenderRef ref="LlmFile" />
		</Logger>

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.llm;

/**
 * Response object for LLM chat completion.
 *
 * @author FessProject
 */
public class LlmChatResponse {

    private String content;
    private String finishReason;
    private Integer promptTokens;

This translation was made by AI guided by humans. 🤝

It could have mistakes of misunderstanding the original meaning, or looking unnatural, etc. 🤖

You can improve this translation by [helping us guide the AI LLM better](https://fastapi.tiangolo.com/contributing/#translations).

[English version](ENGLISH_VERSION_URL)

                return;
            }

            final String userId = getUserId(request);

            // Set LLM type name as Access Type for search log
            request.setAttribute(Constants.SEARCH_LOG_ACCESS_TYPE,
                    ComponentUtil.getFessConfig().getSystemProperty("rag.llm.name", "ollama"));

            final Map<String, String[]> fields = parseFieldFilters(request);

import org.codelibs.fess.llm.ChatIntent;
import org.codelibs.fess.llm.IntentDetectionResult;
import org.codelibs.fess.llm.LlmChatResponse;
import org.codelibs.fess.llm.LlmClient;
import org.codelibs.fess.llm.LlmClientManager;
import org.codelibs.fess.llm.LlmException;
import org.codelibs.fess.llm.LlmMessage;
import org.codelibs.fess.llm.LlmStreamCallback;
import org.codelibs.fess.llm.RelevanceEvaluationResult;