mirror of
https://github.com/andy-stack/vaultkeeper-ai.git
synced 2026-07-22 06:42:03 +00:00
- Add file ID storage and upload tracking to Attachment class - Store provider field in BaseAIClass for file service integration - Update Claude, Gemini, and OpenAI to use file ID references - Replace fetch with requestUrl for native Obsidian HTTP handling - Implement graceful upload failure handling with user notifications - Add retry logic with default values to prevent conversation breaks - Optimize file cache refresh to run only when attachments present - Filter empty function responses in conversation content validation
359 lines
No EOL
15 KiB
TypeScript
359 lines
No EOL
15 KiB
TypeScript
import { BaseAIClass } from "AIClasses/BaseAIClass";
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import type { IStreamChunk } from "Services/StreamingService";
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import type { Conversation } from "Conversations/Conversation";
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import type { ConversationContent } from "Conversations/ConversationContent";
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import type { Attachment } from "Conversations/Attachment";
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import { AIProvider, AIProviderURL, toProviderModel } from "Enums/ApiProvider";
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import { AIFunctionCall } from "AIClasses/AIFunctionCall";
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import { fromString as aiFunctionFromString } from "Enums/AIFunction";
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import type { IAIFunctionDefinition } from "AIClasses/FunctionDefinitions/IAIFunctionDefinition";
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import type { ResponseEvent, ResponseOutputTextDelta, ResponseOutputItemDone, ResponseErrorEvent, ResponseFailedEvent, OpenAIFunctionTool, ResponsesAPIInput } from "./OpenAITypes";
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import { Exception } from "Helpers/Exception";
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import { ApiErrorType } from "Types/ApiError";
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export class OpenAI extends BaseAIClass {
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private readonly SUPPORTED_IMAGE_TYPES: string[] = ["image/jpeg", "image/png", "image/webp"];
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public constructor() {
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super(AIProvider.OpenAI);
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}
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public async* streamRequest(
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conversation: Conversation, allowDestructiveActions: boolean
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): AsyncGenerator<IStreamChunk, void, unknown> {
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// Refresh file cache only if conversation has attachments
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if (conversation.hasAttachments()) {
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await this.aiFileService.refreshCache();
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}
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const systemPrompt = await this.buildSystemPrompt();
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const input = await this.extractContents(conversation.contents);
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const tools = [{
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type: "web_search"
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}, ...this.mapFunctionDefinitions(
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this.aiFunctionDefinitions.getQueryActions(allowDestructiveActions)
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)];
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const requestBody = {
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model: toProviderModel(this.settingsService.settings.model),
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instructions: systemPrompt,
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input: input,
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tools: tools,
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stream: true
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};
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const headers = {
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"Authorization": `Bearer ${this.apiKey}`,
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"Content-Type": "application/json"
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};
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yield* this.streamingService.streamRequest(
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AIProviderURL.OpenAI,
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requestBody,
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(chunk: string) => this.parseStreamChunk(chunk),
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headers
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);
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}
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protected parseStreamChunk(chunk: string): IStreamChunk {
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try {
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// OpenAI Responses API sends "[DONE]" as the final message, which is not valid JSON
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if (chunk.trim() === "[DONE]") {
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return { content: "", isComplete: true };
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}
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const event = JSON.parse(chunk) as ResponseEvent;
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let text = "";
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let functionCall: AIFunctionCall | undefined = undefined;
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let isComplete = false;
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let shouldContinue = false;
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// Handle different event types
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switch (event.type) {
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case "response.output_text.delta": {
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// Text content streaming
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const deltaEvent = event as ResponseOutputTextDelta;
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text = deltaEvent.delta;
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break;
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}
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case "response.refusal.delta": {
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// Model refused to respond - treat as text for now
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const refusalEvent = event as ResponseOutputTextDelta;
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text = refusalEvent.delta;
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break;
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}
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case "error":
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case "response.error": {
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const errorEvent = event as ResponseErrorEvent;
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this.throwRetryableError(
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errorEvent.message,
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errorEvent.code || undefined,
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ApiErrorType.SERVER_ERROR
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);
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break;
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}
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case "response.failed": {
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const errorEvent = event as ResponseFailedEvent;
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this.throwRetryableError(
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errorEvent.response?.error?.message || "Response failed",
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errorEvent.response?.error?.code || undefined,
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ApiErrorType.SERVER_ERROR
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);
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break;
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}
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case "response.function_call_arguments.delta": {
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// Function call arguments streaming - we can ignore these
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// as we'll get the complete call in the "done" event
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break;
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}
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case "response.function_call_arguments.done": {
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// Function call arguments streaming - we can ignore these
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// The complete function call info comes in response.output_item.done
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break;
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}
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case "response.completed":
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case "response.done": {
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// Response completed
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isComplete = true;
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break;
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}
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case "response.output_item.done": {
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// Complete output item received - this includes function calls with name
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const itemDoneEvent = event as ResponseOutputItemDone;
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// Check if this is a function call
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if (itemDoneEvent.item.type === "function_call" &&
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itemDoneEvent.item.name &&
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itemDoneEvent.item.arguments) {
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try {
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const args = JSON.parse(itemDoneEvent.item.arguments) as Record<string, unknown>;
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functionCall = new AIFunctionCall(
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aiFunctionFromString(itemDoneEvent.item.name),
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args as Record<string, object>,
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itemDoneEvent.item.call_id || itemDoneEvent.item_id,
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undefined // thoughtSignature not used by OpenAI
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);
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// When we receive a function call, we should continue the conversation
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shouldContinue = true;
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} catch (error) {
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Exception.log(error);
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}
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}
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break;
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}
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case "response.created":
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case "response.in_progress":
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case "response.content_part.added":
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case "response.content_part.done":
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case "response.output_item.added":
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case "response.output_text.done":
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case "response.web_search_call.in_progress":
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case "response.web_search_call.searching":
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case "response.web_search_call.completed":
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// These events can be used for more granular tracking if needed
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// For now, we handle content through the delta events
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break;
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default:
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// log in dev but just ignore unhandled cases in prod
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Exception.log(`Unknown event type: ${event.type}`);
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break;
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}
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return {
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content: text,
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isComplete: isComplete,
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functionCall: functionCall,
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shouldContinue: shouldContinue,
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};
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} catch (error) {
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return this.createErrorChunk(error);
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}
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}
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protected async extractContents(conversationContent: ConversationContent[]): Promise<ResponsesAPIInput[]> {
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const results: ResponsesAPIInput[] = [];
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for (const content of this.filterConversationContents(conversationContent)) {
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const contentToExtract = content.content ?? "";
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// Case 1: Assistant message with function call
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if (content.functionCall) {
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const parsedContent = this.parseFunctionCall(content.functionCall);
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if (parsedContent) {
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// Check if function call has required id field (for OpenAI Responses API)
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if (parsedContent.functionCall.id && parsedContent.functionCall.id.trim() !== "") {
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// Add assistant text message if present
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if (contentToExtract.trim() !== "") {
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results.push({
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role: content.role as "user" | "assistant",
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content: contentToExtract
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});
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}
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// Add function call as separate input item
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results.push({
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type: "function_call",
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call_id: parsedContent.functionCall.id,
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name: parsedContent.functionCall.name,
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arguments: JSON.stringify(parsedContent.functionCall.args)
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});
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} else {
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// No id (from other provider or legacy) - convert to text message
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const legacyText = this.convertFunctionCallToText(parsedContent);
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const messageContent = contentToExtract.trim();
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const combinedContent = messageContent !== ""
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? `${messageContent}\n\n${legacyText}`
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: legacyText;
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results.push({
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role: content.role as "user" | "assistant",
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content: combinedContent
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});
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}
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} else {
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// Fall back to regular message if parsing fails
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results.push({
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role: content.role as "user" | "assistant",
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content: contentToExtract.trim() !== "" ? contentToExtract : "Error parsing function call"
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});
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}
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continue;
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}
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// Case 2: Binary file attachments
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if (content.attachments && content.attachments.length > 0) {
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// Upload all attachments and track failures
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const failedUploads: string[] = [];
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for (const attachment of content.attachments) {
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try {
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await this.aiFileService.uploadFile(attachment);
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} catch (error) {
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Exception.log(`Failed to upload ${attachment.fileName}: ${Exception.messageFrom(error)}`);
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failedUploads.push(attachment.fileName);
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}
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}
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// Format successfully uploaded files
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const formattedContent = this.formatBinaryFiles(content.attachments);
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const rawContent = JSON.parse(formattedContent) as ResponsesAPIInput[];
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results.push(...rawContent);
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// Add error messages for failed uploads
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if (failedUploads.length > 0) {
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// OpenAI formatBinaryFiles returns array with role wrapper, so add as separate message
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results.push({
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role: "user",
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content: `[Upload failed for: ${failedUploads.join(', ')}.]`
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});
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}
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continue;
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}
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// Case 3: Function call response
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if (content.functionResponse) {
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const parsedContent = this.parseFunctionResponse(content.functionResponse);
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if (parsedContent) {
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// Check if response has required id field (for OpenAI Responses API)
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if (parsedContent.id && parsedContent.id.trim() !== "") {
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results.push({
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type: "function_call_output",
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call_id: parsedContent.id,
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output: JSON.stringify(parsedContent.functionResponse.response)
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});
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} else {
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// No id (from Gemini or legacy) - convert to text message
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const legacyText = this.convertFunctionResponseToText(parsedContent);
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results.push({
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role: content.role as "user" | "assistant",
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content: legacyText
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});
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}
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} else {
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// Fall back to regular user message if parsing fails
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results.push({
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role: content.role as "user" | "assistant",
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content: content.functionResponse
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});
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}
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continue;
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}
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// Case 4: Regular text message (user or assistant)
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if (contentToExtract.trim() !== "") {
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results.push({
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role: content.role as "user" | "assistant",
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content: contentToExtract
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});
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}
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}
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return results;
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}
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protected mapFunctionDefinitions(aiFunctionDefinitions: IAIFunctionDefinition[]): OpenAIFunctionTool[] {
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return aiFunctionDefinitions.map((functionDefinition) => ({
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type: "function",
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name: functionDefinition.name,
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description: functionDefinition.description,
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parameters: functionDefinition.parameters
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}));
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}
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public formatBinaryFiles(attachments: Attachment[]): string {
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const contentBlocks: unknown[] = [];
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for (const attachment of attachments) {
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// Check for uploaded file ID
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const fileID = attachment.getFileID(this.provider);
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if (!fileID) {
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// Skip - upload failed, error message added in extractContents()
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continue;
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}
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if (attachment.mimeType === "application/pdf") {
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// Use file ID format for PDFs
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contentBlocks.push({
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type: "input_file",
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file_id: fileID
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});
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} else {
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// Images
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if (!this.SUPPORTED_IMAGE_TYPES.includes(attachment.mimeType)) {
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contentBlocks.push({
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type: "input_text",
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text: `Unsupported image format: ${attachment.fileName}`
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});
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continue;
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}
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// Use file ID format for images
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contentBlocks.push({
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type: "input_image",
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file_id: fileID
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});
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}
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}
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return JSON.stringify([{
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role: "user",
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content: contentBlocks
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}]);
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}
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} |