ST-Amily2-Chat-Optimisation/core/auto-char-card/api.js

import { extension_settings } from "/scripts/extensions.js";
import { getRequestHeaders } from "/script.js";
import { extensionName } from "../../utils/settings.js";
import { getSlotProfile } from '../api/api-resolver.js';

const DEFAULT_CONFIG = {
    apiUrl: "",
    apiKey: "",
    model: "",
    maxTokens: 4000,
    temperature: 0.7
};

/** 同步读取旧版配置（UI 加载 / 保存用） */
export function getApiConfig(role) {
    const settings = extension_settings[extensionName] || {};
    const configKey = `acc_${role}_config`;
    return { ...DEFAULT_CONFIG, ...(settings[configKey] || {}) };
}

/** 异步读取配置：Profile 优先，fallback 到旧版 */
async function _resolveConfig(role) {
    const profile = await getSlotProfile('autoCharCard');
    if (profile) {
        return {
            apiUrl:      profile.apiUrl,
            apiKey:      profile.apiKey ?? '',
            model:       profile.model,
            maxTokens:   profile.maxTokens ?? DEFAULT_CONFIG.maxTokens,
            temperature: profile.temperature ?? DEFAULT_CONFIG.temperature,
        };
    }
    return getApiConfig(role);
}

export function setApiConfig(role, config) {
    if (!extension_settings[extensionName]) {
        extension_settings[extensionName] = {};
    }
    const configKey = `acc_${role}_config`;
    extension_settings[extensionName][configKey] = { ...getApiConfig(role), ...config };
}

export async function callAi(role, messages, options = {}, onChunk = null) {
    const config = { ...(await _resolveConfig(role)), ...options };
    const roleName = role === 'executor' ? '执行者(模型A)' : '规划者(模型B)';

    if (!config.apiUrl || !config.apiKey || !config.model) {
        throw new Error(`[自动构建器] ${roleName} API 配置不完整，请检查 URL、Key 和模型设置。`);
    }

    console.log(`[自动构建器] 正在调用 AI (${roleName})...`, { model: config.model, messagesCount: messages.length, stream: !!onChunk });

    const body = {
        chat_completion_source: 'openai',
        messages: messages,
        model: config.model,
        reverse_proxy: config.apiUrl,
        proxy_password: config.apiKey,
        stream: !!onChunk, 
        max_tokens: config.maxTokens > 0 ? config.maxTokens : undefined,
        temperature: config.temperature,
        top_p: 1,
        custom_prompt_post_processing: 'strict',
        enable_web_search: false,
        frequency_penalty: 0,
        presence_penalty: 0,
    };

    try {
        const response = await fetch('/api/backends/chat-completions/generate', {
            method: 'POST',
            headers: { ...getRequestHeaders(), 'Content-Type': 'application/json' },
            body: JSON.stringify(body)
        });

        if (!response.ok) {
            const errorText = await response.text();
            throw new Error(`API 请求失败: ${response.status} - ${errorText}`);
        }

        if (onChunk) {
            const reader = response.body.getReader();
            const decoder = new TextDecoder("utf-8");
            let fullContent = "";
            let buffer = "";

            while (true) {
                const { done, value } = await reader.read();
                if (done) break;
                
                buffer += decoder.decode(value, { stream: true });
                const lines = buffer.split('\n');
                buffer = lines.pop(); 
                
                for (const line of lines) {
                    const trimmedLine = line.trim();
                    if (trimmedLine.startsWith('data: ')) {
                        const dataStr = trimmedLine.slice(6).trim();
                        if (dataStr === '[DONE]') continue;
                        try {
                            const data = JSON.parse(dataStr);
                            const delta = data.choices[0].delta?.content || "";
                            if (delta) {
                                fullContent += delta;
                                onChunk(delta);
                            }
                        } catch (e) {
                            
                        }
                    }
                }
            }
            console.log(`[自动构建器] AI (${roleName}) 流式响应结束。长度: ${fullContent.length}`);
            return fullContent;
        } else {
            const responseData = await response.json();
            
            if (!responseData || !responseData.choices || responseData.choices.length === 0) {
                if (responseData.error) {
                    throw new Error(`API 返回错误: ${responseData.error.message || JSON.stringify(responseData.error)}`);
                }
                throw new Error('API 返回了空响应。');
            }

            const content = responseData.choices[0].message?.content;
            
            if (!content) {
                console.warn(`[自动构建器] AI (${roleName}) 响应内容为空。完整响应:`, responseData);
                if (responseData.choices && responseData.choices[0]) {
                    console.warn("Choices[0]:", responseData.choices[0]);
                }
            }

            console.log(`[自动构建器] AI (${roleName}) 响应接收成功。长度: ${content?.length}`);
            return content;
        }

    } catch (error) {
        console.error(`[自动构建器] AI (${roleName}) 调用失败:`, error);
        throw error;
    }
}

export async function testConnection(role, config = {}) {
    try {
        const response = await callAi(role, [
            { role: 'user', content: 'Say hello' }
        ], { maxTokens: 50, ...config });
        
        if (!response) {
            return { success: false, error: "API 返回了空内容 (可能是被安全过滤或模型无响应)" };
        }

        return { success: true };
    } catch (error) {
        console.error(`[自动构建器] ${role} 连接测试失败:`, error);
        return { success: false, error: error.message };
    }
}

export async function fetchModels(apiUrl, apiKey) {
    // 若未传参，尝试从 Profile 或旧配置读取
    if (!apiUrl || !apiKey) {
        const resolved = await _resolveConfig('executor');
        apiUrl  = apiUrl  || resolved.apiUrl;
        apiKey  = apiKey  || resolved.apiKey;
    }

    try {
        const response = await fetch('/api/backends/chat-completions/status', {
            method: 'POST',
            headers: { ...getRequestHeaders(), 'Content-Type': 'application/json' },
            body: JSON.stringify({
                reverse_proxy: apiUrl,
                proxy_password: apiKey,
                chat_completion_source: 'openai'
            })
        });

        if (!response.ok) throw new Error(`HTTP ${response.status}`);

        const data = await response.json();
        const models = Array.isArray(data) ? data : (data.data || data.models || []);

        return models.map(m => {
            const id = m.id || m.model || m.name || m;
            return typeof id === 'string' ? id : JSON.stringify(id);
        }).sort();

    } catch (error) {
        console.error('[自动构建器] 获取模型列表失败:', error);
        throw error;
    }
}