Update ConcurrentApi.js

This commit is contained in:
2026-01-12 23:31:51 +08:00
committed by GitHub
parent f5807bc54a
commit ad420586f8

View File

@@ -9,8 +9,8 @@ function getConcurrentApiSettings() {
apiUrl: settings.plotOpt_concurrentApiUrl?.trim() || '', apiUrl: settings.plotOpt_concurrentApiUrl?.trim() || '',
apiKey: settings.plotOpt_concurrentApiKey?.trim() || '', apiKey: settings.plotOpt_concurrentApiKey?.trim() || '',
model: settings.plotOpt_concurrentModel || '', model: settings.plotOpt_concurrentModel || '',
maxTokens: settings.plotOpt_max_tokens || 20000, maxTokens: settings.plotOpt_concurrentMaxTokens || 8100,
temperature: settings.plotOpt_temperature || 1, temperature: settings.plotOpt_concurrentTemperature || 1,
}; };
} }
@@ -79,6 +79,8 @@ export async function callConcurrentAI(messages, options = {}) {
} }
async function callConcurrentOpenAITest(messages, options) { async function callConcurrentOpenAITest(messages, options) {
const isGoogleApi = options.apiUrl.includes('googleapis.com');
const body = { const body = {
chat_completion_source: 'openai', chat_completion_source: 'openai',
messages: messages, messages: messages,
@@ -86,11 +88,24 @@ async function callConcurrentOpenAITest(messages, options) {
reverse_proxy: options.apiUrl, reverse_proxy: options.apiUrl,
proxy_password: options.apiKey, proxy_password: options.apiKey,
stream: false, stream: false,
max_tokens: options.maxTokens || 20000, max_tokens: options.maxTokens || 8100,
temperature: options.temperature || 0.7, temperature: options.temperature || 1,
top_p: options.top_p || 0.95, top_p: options.top_p || 1,
}; };
if (!isGoogleApi) {
Object.assign(body, {
custom_prompt_post_processing: 'strict',
enable_web_search: false,
frequency_penalty: 0,
group_names: [],
include_reasoning: false,
presence_penalty: 0.12,
reasoning_effort: 'medium',
request_images: false,
});
}
const response = await fetch('/api/backends/chat-completions/generate', { const response = await fetch('/api/backends/chat-completions/generate', {
method: 'POST', method: 'POST',
headers: { ...getRequestHeaders(), 'Content-Type': 'application/json' }, headers: { ...getRequestHeaders(), 'Content-Type': 'application/json' },
@@ -107,54 +122,97 @@ async function callConcurrentOpenAITest(messages, options) {
} }
export async function testConcurrentApiConnection() { export async function testConcurrentApiConnection() {
console.log('[Amily2号-Concurrent外交部] 开始API连接测试');
const apiSettings = getConcurrentApiSettings(); const apiSettings = getConcurrentApiSettings();
if (!apiSettings.apiUrl || !apiSettings.apiKey) {
toastr.error("并发API的URL或API Key未设置。", "测试连接失败"); if (!apiSettings.apiUrl || !apiSettings.apiKey || !apiSettings.model) {
return; toastr.error('并发API配置不完整请检查URL、Key和模型', 'Concurrent API连接测试失败');
return false;
} }
const modelsUrl = new URL('/v1/models', apiSettings.apiUrl).toString();
try { try {
const response = await fetch(modelsUrl, { toastr.info('正在发送测试消息"你好!"...', 'Concurrent API连接测试');
method: 'GET',
headers: {
'Authorization': `Bearer ${apiSettings.apiKey}`,
},
});
if (response.ok) { const userName = window.SillyTavern.getContext?.()?.name1 || '用户';
toastr.success("并发API连接成功", "测试连接"); const systemPrompt = `接下来用户会使用测试按钮测试api连接是否正常请回复ta连接是正常的称呼用户为${userName}大人”并复述群号1060183271告知ta本扩展开发者“诗与酒.”正静待ta的入驻。`;
const testMessages = [
{ role: 'system', content: systemPrompt },
{ role: 'user', content: '你好!' }
];
const response = await callConcurrentAI(testMessages);
if (response && response.trim()) {
console.log('[Amily2号-Concurrent外交部] 测试消息响应:', response);
const formattedResponse = response.replace(/\*\*(.*?)\*\*/g, '<b>$1</b>');
toastr.success(`连接测试成功AI回复: "${formattedResponse}"`, 'Concurrent API连接测试成功', { "escapeHtml": false });
return true;
} else { } else {
const errorText = await response.text(); throw new Error('API未返回有效响应');
toastr.error(`连接失败: ${response.status}. ${errorText}`, "测试连接失败");
} }
} catch (error) { } catch (error) {
console.error("[Amily2-Concurrent] 测试连接时出错:", error); console.error('[Amily2-Concurrent外交部] 连接测试失败:', error);
toastr.error(`网络错误: ${error.message}`, "测试连接失败"); toastr.error(`连接测试失败: ${error.message}`, 'Concurrent API连接测试失败');
return false;
} }
} }
export async function fetchConcurrentModels() { export async function fetchConcurrentModels() {
console.log('[Amily2号-Concurrent外交部] 开始获取模型列表');
const apiSettings = getConcurrentApiSettings(); const apiSettings = getConcurrentApiSettings();
if (!apiSettings.apiUrl || !apiSettings.apiKey) {
throw new Error("并发API的URL或API Key未设置。"); try {
if (!apiSettings.apiUrl || !apiSettings.apiKey) {
throw new Error('API URL或Key未配置');
}
const response = await fetch('/api/backends/chat-completions/status', {
method: 'POST',
headers: {
...getRequestHeaders(),
'Content-Type': 'application/json',
},
body: JSON.stringify({
reverse_proxy: apiSettings.apiUrl,
proxy_password: apiSettings.apiKey,
chat_completion_source: 'openai'
})
});
if (!response.ok) {
throw new Error(`HTTP ${response.status}: ${response.statusText}`);
}
const rawData = await response.json();
const models = Array.isArray(rawData) ? rawData : (rawData.data || rawData.models || []);
if (!Array.isArray(models)) {
const errorMessage = rawData.error?.message || 'API未返回有效的模型列表数组';
throw new Error(errorMessage);
}
const formattedModels = models
.map(m => {
const modelIdRaw = m.name || m.id || m.model || m;
const modelName = String(modelIdRaw).replace(/^models\//, '');
return {
id: modelName,
name: modelName
};
})
.filter(m => m.id)
.sort((a, b) => String(a.name).localeCompare(String(b.name)));
console.log('[Amily2号-Concurrent外交部] 全兼容模式获取到模型:', formattedModels);
return formattedModels;
} catch (error) {
console.error('[Amily2号-Concurrent外交部] 获取模型列表失败:', error);
toastr.error(`获取模型列表失败: ${error.message}`, 'Concurrent API');
throw error;
} }
const modelsUrl = new URL('/v1/models', apiSettings.apiUrl).toString();
const response = await fetch(modelsUrl, {
method: 'GET',
headers: {
'Authorization': `Bearer ${apiSettings.apiKey}`,
},
});
if (!response.ok) {
const errorText = await response.text();
throw new Error(`获取模型列表失败: ${response.status} - ${errorText}`);
}
const data = await response.json();
return data.data.map(model => ({ id: model.id, name: model.id })); // Return in the same format as other fetchers
} }