问题:AgnesAdapter extends DeepSeekAdapter 在架构上不合理。 DeepSeek、Agnes AI、Ollama 是三个完全不同的 API,不应有继承关系。 重构: BaseAdapter ├── DeepSeekAdapter (独立) ├── AgnesAdapter (独立) └── OllamaAdapter (独立) 变更: - 新增 shared/openai-format.ts — 提取 OpenAI 兼容消息/工具格式构建 - 新增 shared/sse-stream.ts — 提取 SSE 流式解析逻辑 - DeepSeekAdapter 重写为独立继承 BaseAdapter,使用共享工具 - AgnesAdapter 重写为独立继承 BaseAdapter,使用共享工具 - OllamaAdapter 无需变更(原本就独立继承) - adapters/index.ts 清理导出,移除隐式耦合
137 lines
4.3 KiB
TypeScript
137 lines
4.3 KiB
TypeScript
/**
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* Agnes AI Provider Adapter
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*
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* OpenAI 兼容 API。支持 Tool Calling、Thinking 模式、多模态(图片)。
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*
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* 独立继承 BaseAdapter,通过 shared/openai-format 和 shared/sse-stream 复用
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* OpenAI 兼容格式构建和 SSE 流式解析逻辑。不与其他 Provider Adapter 耦合。
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*
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* 与 DeepSeek 的差异:
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* - Thinking 模式使用 chat_template_kwargs(非 thinking 字段)
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* - 默认 max_tokens 更大(65536 vs 8192)
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*
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* @see apis/agnes-ai-api-docs-20260625.html
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*/
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import { BaseAdapter } from './base-adapter';
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import type { MetonaRequest, MetonaResponse, MetonaStreamEvent } from '../types';
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import { MetonaFinishReason } from '../types';
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import { buildOpenAICompatibleMessages, buildOpenAICompatibleTools } from './shared/openai-format';
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import { parseSSEStream, parseOpenAICompatibleResponse } from './shared/sse-stream';
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export class AgnesAdapter extends BaseAdapter {
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override readonly provider: string = 'agnes';
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readonly supportedModels = ['agnes-2.0-flash'];
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readonly supportsToolCalling = true;
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readonly supportsThinking = true;
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// ===== POST /chat/completions (非流式) =====
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async chat(request: MetonaRequest): Promise<MetonaResponse> {
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const body = this.toNativeRequest(request, false);
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const response = await fetch(`${this.config.baseURL}/chat/completions`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${this.config.apiKey}`,
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...this.config.headers,
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},
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body: JSON.stringify(body),
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signal: AbortSignal.timeout(this.config.timeoutMs ?? 300_000),
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});
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if (!response.ok) {
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const errorBody = await response.text().catch(() => '');
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throw new Error(`Agnes AI API error: ${response.status} ${response.statusText} - ${errorBody}`);
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}
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const data = await response.json() as Record<string, unknown>;
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const parsed = parseOpenAICompatibleResponse(data, request.meta.requestId, this.provider, this.config.defaultModel);
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return {
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meta: {
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requestId: request.meta.requestId,
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provider: this.provider,
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model: (data.model as string) ?? this.config.defaultModel,
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latencyMs: 0,
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timestamp: Date.now(),
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},
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content: parsed.content,
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reasoningContent: parsed.reasoningContent,
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toolCalls: parsed.toolCalls,
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usage: parsed.usage,
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finishReason: parsed.finishReason as MetonaFinishReason,
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};
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}
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// ===== POST /chat/completions (流式) =====
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async *chatStream(request: MetonaRequest): AsyncIterable<MetonaStreamEvent> {
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const body = this.toNativeRequest(request, true);
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const response = await fetch(`${this.config.baseURL}/chat/completions`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${this.config.apiKey}`,
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...this.config.headers,
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},
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body: JSON.stringify(body),
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});
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if (!response.ok || !response.body) {
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throw new Error(`Agnes AI stream error: ${response.status}`);
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}
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yield* parseSSEStream(
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response.body,
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request.meta.requestId,
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request.meta.sessionId,
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request.meta.iteration,
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);
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}
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// ========== 私有方法 ==========
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/**
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* 构建 Agnes AI 原生请求体
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*
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* Agnes AI 特有参数:
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* - chat_template_kwargs: { enable_thinking: true } — 启用思考模式(非 thinking 字段)
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* - 默认 max_tokens: 65536(512K 上下文)
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*/
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private toNativeRequest(request: MetonaRequest, stream: boolean): Record<string, unknown> {
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const messages = buildOpenAICompatibleMessages(request);
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const tools = buildOpenAICompatibleTools(request.tools);
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const body: Record<string, unknown> = {
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model: this.config.defaultModel,
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messages,
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temperature: request.params.temperature ?? 0,
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max_tokens: request.params.maxTokens ?? 65536,
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stream,
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};
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if (stream) {
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body.stream_options = { include_usage: true };
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}
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if (tools) {
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body.tools = tools;
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}
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// Thinking 模式:Agnes 使用 chat_template_kwargs 而非 thinking
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if (request.params.thinkingEnabled) {
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body.chat_template_kwargs = { enable_thinking: true };
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}
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// 停止序列
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if (request.params.stopSequences?.length) {
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body.stop = request.params.stopSequences;
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}
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return body;
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}
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}
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