Files
metona-ai-desktop/electron/harness/adapters/agnes-ai.adapter.ts
T
thzxx ceb8ee644d feat: 升级至 v0.3.7 — 前后端状态同步与错误处理全量修复
核心引擎修复:
- CE-1: 上下文压缩摘要 role 从 system 改为 user,避免被 adapter 过滤
- CE-2: 工具失败时优先使用 error 字段(engine/openai-format/ollama 三处)
- P0-1: DeadLoopError 终止时正确传 error 参数,前端可见 ERROR 事件
- MT-1: 新增 waitForAbort 方法,abortSession 等待 run 结束再返回
- MT-2: TERMINATED 状态到达时标记步骤完成,避免 Trace Viewer 转圈
- MT-3: 压缩边界检测孤立 tool 消息,避免 API 400 错误
- isRetryableError 与 catch 分支统一 toLowerCase

IPC 与主进程修复:
- P0-2: createAdapter 配置缺失返回 null,FALLBACK_ADAPTER 兜底
- P0-3: reloadAdapter 失败返回 success:false 通知前端
- P1-5: 校验失败发 ERROR+DONE 流事件,防止 isStreaming 卡死
- P1-6: configLoaded 标志,配置加载前禁用发送按钮
- P1-7: MCP initialize 移到 agentLoop 后,完成后同步工具
- P2-11: beforeLoad 在 loadURL 前注册 IPC handler
- P2-12: provider 切换竞态保护

前端状态同步修复:
- clearSessions 后同步清空前端会话与消息状态
- clearMemories 通过 memoryVersion 触发 MemoryViewer 重新加载
- ContextMenu 4 个 session 操作补全 IPC 调用与 try/catch
- useConfig 配置保存失败回滚 UI 并提示
- handleToggle 工具切换失败回滚单个工具状态

错误处理全量补全:
- 所有 await window.metona 调用补全 try/catch 与 toast 反馈
- MCP addServer/toggleServer/removeServer 检查返回值
- showItemInFolder 检查返回值(handleOpen/handleOpenInFolder)
- sse-stream/ollama NDJSON 解析失败改为 log.warn
- adapter throwHttpError 带 status 属性供 isRetryableError 判断
2026-07-16 22:40:32 +08:00

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/**
* Agnes AI Provider Adapter
*
* OpenAI 兼容 API。支持 Tool Calling、Thinking 模式、多模态(图片)。
*
* 独立继承 BaseAdapter,通过 shared/openai-format 和 shared/sse-stream 复用
* OpenAI 兼容格式构建和 SSE 流式解析逻辑。不与其他 Provider Adapter 耦合。
*
* 与 DeepSeek 的差异:
* - Thinking 模式使用 chat_template_kwargs(非 thinking 字段)
* - 默认 max_tokens 更大(65536 vs 8192
*
* @see apis/agnes-ai-api-docs-20260625.html
*/
import { BaseAdapter } from './base-adapter';
import type { MetonaRequest, MetonaResponse, MetonaStreamEvent } from '../types';
import { MetonaFinishReason } from '../types';
import type { MetonaModelInfo } from '../types/metona-adapter';
import { buildOpenAICompatibleMessages, buildOpenAICompatibleTools } from './shared/openai-format';
import { parseSSEStream, parseOpenAICompatibleResponse } from './shared/sse-stream';
import log from 'electron-log';
export class AgnesAdapter extends BaseAdapter {
// H-2 修复: provider → providerId(规范要求)
override readonly providerId: string = 'agnes';
readonly supportedModels = ['agnes-2.0-flash'];
readonly supportsToolCalling = true;
readonly supportsThinking = true;
// H-2 修复: Agnes 模型元信息(1M 上下文,65.5K 最大输出)
private static readonly MODEL_INFO: Record<string, MetonaModelInfo> = {
'agnes-2.0-flash': {
id: 'agnes-2.0-flash',
name: 'Agnes 2.0 Flash',
contextWindow: 1_000_000,
maxOutputTokens: 65_536,
supportsToolCalling: true,
supportsThinking: true,
description: 'Agnes AI 快速版,1M 上下文,支持多模态图片与思考模式',
},
};
// ===== POST /chat/completions (非流式) =====
// H-2 修复: chat → send(规范要求)
async send(request: MetonaRequest): Promise<MetonaResponse> {
const body = this.toNativeRequest(request, false);
const response = await fetch(`${this.config.baseURL}/chat/completions`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${this.config.apiKey}`,
...this.config.headers,
},
body: JSON.stringify(body),
// C-2 修复: 使用合并后的 signal(外部 abort + timeout
signal: this.getFetchSignal(this.config.timeoutMs ?? 300_000),
});
if (!response.ok) {
await this.throwHttpError(response, 'Agnes AI API error');
}
const data = await response.json() as Record<string, unknown>;
const parsed = parseOpenAICompatibleResponse(data, request.meta.requestId, this.providerId, this.config.defaultModel);
return {
meta: {
requestId: request.meta.requestId,
provider: this.providerId,
model: (data.model as string) ?? this.config.defaultModel,
latencyMs: 0,
timestamp: Date.now(),
},
content: parsed.content,
reasoningContent: parsed.reasoningContent,
toolCalls: parsed.toolCalls,
usage: parsed.usage,
finishReason: parsed.finishReason as MetonaFinishReason,
};
}
// ===== POST /chat/completions (流式) =====
// H-2 修复: chatStream → sendStream(规范要求)
async *sendStream(request: MetonaRequest): AsyncIterable<MetonaStreamEvent> {
const body = this.toNativeRequest(request, true);
const response = await fetch(`${this.config.baseURL}/chat/completions`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${this.config.apiKey}`,
...this.config.headers,
},
body: JSON.stringify(body),
// C-2 修复: 使用合并后的 signal(外部 abort + timeout
signal: this.getFetchSignal(this.config.timeoutMs ?? 300_000),
});
if (!response.ok || !response.body) {
await this.throwHttpError(response, 'Agnes AI stream error');
}
yield* parseSSEStream(
// 非空断言:上方 if 已确保 response.body 不为 null
response.body!,
request.meta.requestId,
request.meta.sessionId,
request.meta.iteration,
);
}
/**
* H-2 修复: 获取上下文窗口大小(规范要求)
*
* v0.3.1: 优先使用配置注入的 contextWindow,回退到 MODEL_INFO 默认值。
* Agnes OpenAI 兼容 API 不支持 context_window 参数,此值仅用于
* Engine 压缩判断和前端 UI 显示。
* 注意:Agnes API 未提供 /models 端点,listModels 使用基类默认实现。
*/
override getContextWindow(): number {
// v0.3.1: 优先使用配置注入的 contextWindow
if (typeof this.config.contextWindow === 'number' && this.config.contextWindow > 0) {
return this.config.contextWindow;
}
// 回退到 MODEL_INFO
const modelInfo = AgnesAdapter.MODEL_INFO[this.config.defaultModel];
return modelInfo?.contextWindow ?? 1_000_000;
}
// ========== 私有方法 ==========
/**
* 构建 Agnes AI 原生请求体
*
* Agnes AI 特有参数:
* - 多模态图片:user 消息的 images[] → OpenAI content 数组 [{type:"text"}, {type:"image_url"}]
* - chat_template_kwargs: { enable_thinking: true } — 启用思考模式(非 thinking 字段)
* - 默认 max_tokens: 655361M 上下文,65.5K 最大输出)
*/
private toNativeRequest(request: MetonaRequest, stream: boolean): Record<string, unknown> {
const messages = buildOpenAICompatibleMessages(request);
const tools = buildOpenAICompatibleTools(request.tools);
// === Agnes 多模态:将 images 转为 OpenAI content 数组 ===
// buildOpenAICompatibleMessages 不处理图片(各 Provider 自行处理)
const nonSystemMsgs = request.messages.filter((m) => m.role !== 'system');
let imageCount = 0;
for (let i = 0; i < messages.length; i++) {
// messages[0] 是 system,非 system 消息从 messages[1] 开始
if (i === 0) continue;
const origMsg = nonSystemMsgs[i - 1];
if (!origMsg?.images?.length) continue;
imageCount += origMsg.images.length;
const contentParts: Array<Record<string, unknown>> = [];
if (origMsg.content) {
contentParts.push({ type: 'text', text: origMsg.content });
}
for (const img of origMsg.images) {
contentParts.push({
type: 'image_url',
image_url: { url: img.url },
});
}
messages[i].content = contentParts;
}
if (imageCount > 0) {
const firstUrl = request.messages.find(m => m.images?.length)?.images?.[0]?.url ?? '';
log.info(`[Agnes] Processing ${imageCount} image(s), first URL prefix: ${firstUrl.slice(0, 50)}`);
}
const body: Record<string, unknown> = {
model: this.config.defaultModel,
messages,
temperature: request.params.temperature,
max_tokens: request.params.maxTokens ?? 65536,
stream,
};
if (stream) {
body.stream_options = { include_usage: true };
}
if (tools) {
body.tools = tools;
}
// C-3 修复: Thinking 模式 — Agnes 使用 chat_template_kwargs 而非 thinking
// Agnes API 仅支持 enable_thinking: true/false,不支持 effort 级别
// thinkingEffort === 'low' 时映射为 false(不启用深度思考),其他级别映射为 true
if (request.params.thinkingEnabled) {
const effort = request.params.thinkingEffort ?? 'high';
body.chat_template_kwargs = { enable_thinking: effort !== 'low' };
}
// 停止序列
if (request.params.stopSequences?.length) {
body.stop = request.params.stopSequences;
}
return body;
}
}