mirror of
https://github.com/TriliumNext/Notes.git
synced 2025-07-28 10:32:27 +08:00
refactor(llm): streamline chat response handling by simplifying content accumulation and removing unnecessary thinking content processing
This commit is contained in:
perf3ct
parent
aad92b57c7
commit
e7e04b7ccd
@ -62,15 +62,11 @@ export async function setupStreamingResponse(
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): Promise<void> {
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return new Promise((resolve, reject) => {
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let assistantResponse = '';
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let postToolResponse = ''; // Separate accumulator for post-tool execution content
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let receivedAnyContent = false;
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let receivedPostToolContent = false; // Track if we've started receiving post-tool content
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let timeoutId: number | null = null;
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let initialTimeoutId: number | null = null;
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let cleanupTimeoutId: number | null = null;
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let receivedAnyMessage = false;
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let toolsExecuted = false; // Flag to track if tools were executed in this session
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let toolExecutionCompleted = false; // Flag to track if tool execution is completed
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let eventListener: ((event: Event) => void) | null = null;
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let lastMessageTimestamp = 0;
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@ -118,28 +114,14 @@ export async function setupStreamingResponse(
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resolve();
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};
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// Function to schedule cleanup with ability to cancel
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const scheduleCleanup = (delay: number) => {
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// Clear any existing cleanup timeout
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if (cleanupTimeoutId) {
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window.clearTimeout(cleanupTimeoutId);
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// Set initial timeout to catch cases where no message is received at all
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initialTimeoutId = window.setTimeout(() => {
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if (!receivedAnyMessage) {
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console.error(`[${responseId}] No initial message received within timeout`);
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performCleanup();
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reject(new Error('No response received from server'));
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}
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console.log(`[${responseId}] Scheduling listener cleanup in ${delay}ms`);
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// Set new cleanup timeout
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cleanupTimeoutId = window.setTimeout(() => {
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// Only clean up if no messages received recently (in last 2 seconds)
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const timeSinceLastMessage = Date.now() - lastMessageTimestamp;
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if (timeSinceLastMessage > 2000) {
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performCleanup();
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} else {
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console.log(`[${responseId}] Received message recently, delaying cleanup`);
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// Reschedule cleanup
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scheduleCleanup(2000);
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}
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}, delay);
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};
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}, 10000);
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// Create a message handler for CustomEvents
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eventListener = (event: Event) => {
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@ -161,7 +143,7 @@ export async function setupStreamingResponse(
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cleanupTimeoutId = null;
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}
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console.log(`[${responseId}] LLM Stream message received via CustomEvent: chatNoteId=${noteId}, content=${!!message.content}, contentLength=${message.content?.length || 0}, thinking=${!!message.thinking}, toolExecution=${!!message.toolExecution}, done=${!!message.done}, type=${message.type || 'llm-stream'}`);
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console.log(`[${responseId}] LLM Stream message received: content=${!!message.content}, contentLength=${message.content?.length || 0}, thinking=${!!message.thinking}, toolExecution=${!!message.toolExecution}, done=${!!message.done}`);
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// Mark first message received
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if (!receivedAnyMessage) {
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@ -175,109 +157,33 @@ export async function setupStreamingResponse(
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}
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}
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// Handle specific message types
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if (message.type === 'tool_execution_start') {
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toolsExecuted = true; // Mark that tools were executed
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onThinkingUpdate('Executing tools...');
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// Also trigger tool execution UI with a specific format
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onToolExecution({
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action: 'start',
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tool: 'tools',
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result: 'Executing tools...'
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});
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return; // Skip accumulating content from this message
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// Handle error
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if (message.error) {
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console.error(`[${responseId}] Stream error: ${message.error}`);
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performCleanup();
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reject(new Error(message.error));
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return;
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}
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if (message.type === 'tool_result' && message.toolExecution) {
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toolsExecuted = true; // Mark that tools were executed
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console.log(`[${responseId}] Processing tool result: ${JSON.stringify(message.toolExecution)}`);
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// Handle thinking updates - only show if showThinking is enabled
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if (message.thinking && messageParams.showThinking) {
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console.log(`[${responseId}] Received thinking: ${message.thinking.substring(0, 100)}...`);
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onThinkingUpdate(message.thinking);
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}
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// If tool execution doesn't have an action, add 'result' as the default
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if (!message.toolExecution.action) {
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message.toolExecution.action = 'result';
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}
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// First send a 'start' action to ensure the container is created
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onToolExecution({
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action: 'start',
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tool: 'tools',
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result: 'Tool execution initialized'
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});
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// Then send the actual tool execution data
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// Handle tool execution updates
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if (message.toolExecution) {
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console.log(`[${responseId}] Tool execution update:`, message.toolExecution);
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onToolExecution(message.toolExecution);
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// Mark tool execution as completed if this is a result or error
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if (message.toolExecution.action === 'result' || message.toolExecution.action === 'complete' || message.toolExecution.action === 'error') {
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toolExecutionCompleted = true;
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console.log(`[${responseId}] Tool execution completed`);
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}
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return; // Skip accumulating content from this message
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}
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if (message.type === 'tool_execution_error' && message.toolExecution) {
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toolsExecuted = true; // Mark that tools were executed
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toolExecutionCompleted = true; // Mark tool execution as completed
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onToolExecution({
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...message.toolExecution,
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action: 'error',
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error: message.toolExecution.error || 'Unknown error during tool execution'
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});
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return; // Skip accumulating content from this message
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}
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if (message.type === 'tool_completion_processing') {
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toolsExecuted = true; // Mark that tools were executed
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toolExecutionCompleted = true; // Tools are done, now processing the result
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onThinkingUpdate('Generating response with tool results...');
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// Also trigger tool execution UI with a specific format
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onToolExecution({
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action: 'generating',
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tool: 'tools',
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result: 'Generating response with tool results...'
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});
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return; // Skip accumulating content from this message
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}
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// Handle content updates
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if (message.content) {
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console.log(`[${responseId}] Received content chunk of length ${message.content.length}, preview: "${message.content.substring(0, 50)}${message.content.length > 50 ? '...' : ''}"`);
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// If tools were executed and completed, and we're now getting new content,
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// this is likely the final response after tool execution from Anthropic
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if (toolsExecuted && toolExecutionCompleted && message.content) {
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console.log(`[${responseId}] Post-tool execution content detected`);
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// If this is the first post-tool chunk, indicate we're starting a new response
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if (!receivedPostToolContent) {
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receivedPostToolContent = true;
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postToolResponse = ''; // Clear any previous post-tool response
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console.log(`[${responseId}] First post-tool content chunk, starting fresh accumulation`);
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}
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// Accumulate post-tool execution content
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postToolResponse += message.content;
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console.log(`[${responseId}] Accumulated post-tool content, now ${postToolResponse.length} chars`);
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// Update the UI with the accumulated post-tool content
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// This replaces the pre-tool content with our accumulated post-tool content
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onContentUpdate(postToolResponse, message.done || false);
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} else {
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// Standard content handling for non-tool cases or initial tool response
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// Check if this is a duplicated message containing the same content we already have
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if (message.done && assistantResponse.includes(message.content)) {
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console.log(`[${responseId}] Ignoring duplicated content in done message`);
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} else {
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// Add to our accumulated response
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assistantResponse += message.content;
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}
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// Update the UI immediately with each chunk
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onContentUpdate(assistantResponse, message.done || false);
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}
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// Simply append the new content - no complex deduplication
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assistantResponse += message.content;
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// Update the UI immediately with each chunk
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onContentUpdate(assistantResponse, message.done || false);
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receivedAnyContent = true;
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// Reset timeout since we got content
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@ -288,150 +194,32 @@ export async function setupStreamingResponse(
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// Set new timeout
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timeoutId = window.setTimeout(() => {
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console.warn(`[${responseId}] Stream timeout for chat note ${noteId}`);
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// Clean up
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performCleanup();
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reject(new Error('Stream timeout'));
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}, 30000);
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}
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// Handle tool execution updates (legacy format and standard format with llm-stream type)
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if (message.toolExecution) {
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// Only process if we haven't already handled this message via specific message types
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if (message.type === 'llm-stream' || !message.type) {
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console.log(`[${responseId}] Received tool execution update: action=${message.toolExecution.action || 'unknown'}`);
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toolsExecuted = true; // Mark that tools were executed
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// Mark tool execution as completed if this is a result or error
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if (message.toolExecution.action === 'result' ||
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message.toolExecution.action === 'complete' ||
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message.toolExecution.action === 'error') {
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toolExecutionCompleted = true;
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console.log(`[${responseId}] Tool execution completed via toolExecution message`);
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}
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onToolExecution(message.toolExecution);
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}
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}
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// Handle tool calls from the raw data or direct in message (OpenAI format)
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const toolCalls = message.tool_calls || (message.raw && message.raw.tool_calls);
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if (toolCalls && Array.isArray(toolCalls)) {
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console.log(`[${responseId}] Received tool calls: ${toolCalls.length} tools`);
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toolsExecuted = true; // Mark that tools were executed
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// First send a 'start' action to ensure the container is created
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onToolExecution({
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action: 'start',
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tool: 'tools',
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result: 'Tool execution initialized'
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});
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// Then process each tool call
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for (const toolCall of toolCalls) {
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let args = toolCall.function?.arguments || {};
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// Try to parse arguments if they're a string
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if (typeof args === 'string') {
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try {
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args = JSON.parse(args);
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} catch (e) {
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console.log(`[${responseId}] Could not parse tool arguments as JSON: ${e}`);
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args = { raw: args };
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}
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}
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onToolExecution({
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action: 'executing',
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tool: toolCall.function?.name || 'unknown',
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toolCallId: toolCall.id,
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args: args
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});
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}
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}
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// Handle thinking state updates
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if (message.thinking) {
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console.log(`[${responseId}] Received thinking update: ${message.thinking.substring(0, 50)}...`);
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onThinkingUpdate(message.thinking);
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}
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// Handle completion
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if (message.done) {
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console.log(`[${responseId}] Stream completed for chat note ${noteId}, has content: ${!!message.content}, content length: ${message.content?.length || 0}, current response: ${assistantResponse.length} chars`);
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console.log(`[${responseId}] Stream completed for chat note ${noteId}, final response: ${assistantResponse.length} chars`);
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// Dump message content to console for debugging
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if (message.content) {
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console.log(`[${responseId}] CONTENT IN DONE MESSAGE (first 200 chars): "${message.content.substring(0, 200)}..."`);
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// Check if the done message contains the exact same content as our accumulated response
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// We normalize by removing whitespace to avoid false negatives due to spacing differences
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const normalizedMessage = message.content.trim();
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const normalizedResponse = assistantResponse.trim();
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if (normalizedMessage === normalizedResponse) {
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console.log(`[${responseId}] Final message is identical to accumulated response, no need to update`);
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}
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// If the done message is longer but contains our accumulated response, use the done message
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else if (normalizedMessage.includes(normalizedResponse) && normalizedMessage.length > normalizedResponse.length) {
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console.log(`[${responseId}] Final message is more complete than accumulated response, using it`);
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assistantResponse = message.content;
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}
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// If the done message is different and not already included, append it to avoid duplication
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else if (!normalizedResponse.includes(normalizedMessage) && normalizedMessage.length > 0) {
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console.log(`[${responseId}] Final message has unique content, using it`);
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assistantResponse = message.content;
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}
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// Otherwise, we already have the content accumulated, so no need to update
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else {
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console.log(`[${responseId}] Already have this content accumulated, not updating`);
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}
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}
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// Clear timeout if set
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// Clear all timeouts
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if (timeoutId !== null) {
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window.clearTimeout(timeoutId);
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timeoutId = null;
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}
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// Always mark as done when we receive the done flag
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onContentUpdate(assistantResponse, true);
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// Set a longer delay before cleanup to allow for post-tool execution messages
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// Especially important for Anthropic which may send final message after tool execution
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const cleanupDelay = toolsExecuted ? 15000 : 1000; // 15 seconds if tools were used, otherwise 1 second
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console.log(`[${responseId}] Setting cleanup delay of ${cleanupDelay}ms since toolsExecuted=${toolsExecuted}`);
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scheduleCleanup(cleanupDelay);
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// Schedule cleanup after a brief delay to ensure all processing is complete
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cleanupTimeoutId = window.setTimeout(() => {
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performCleanup();
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}, 100);
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}
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};
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// Register event listener for the custom event
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try {
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window.addEventListener('llm-stream-message', eventListener);
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console.log(`[${responseId}] Event listener added for llm-stream-message events`);
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} catch (err) {
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console.error(`[${responseId}] Error setting up event listener:`, err);
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reject(err);
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return;
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}
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// Register the event listener for WebSocket messages
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window.addEventListener('llm-stream-message', eventListener);
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// Set initial timeout for receiving any message
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initialTimeoutId = window.setTimeout(() => {
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console.warn(`[${responseId}] No messages received for initial period in chat note ${noteId}`);
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if (!receivedAnyMessage) {
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console.error(`[${responseId}] WebSocket connection not established for chat note ${noteId}`);
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if (timeoutId !== null) {
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window.clearTimeout(timeoutId);
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}
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// Clean up
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cleanupEventListener(eventListener);
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// Show error message to user
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reject(new Error('WebSocket connection not established'));
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}
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}, 10000);
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console.log(`[${responseId}] Event listener registered, waiting for messages...`);
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});
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}
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@ -1068,16 +1068,6 @@ export default class LlmChatPanel extends BasicWidget {
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* Update the UI with streaming content
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*/
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private updateStreamingUI(assistantResponse: string, isDone: boolean = false) {
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// Parse and handle thinking content if present
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if (!isDone) {
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const thinkingContent = this.parseThinkingContent(assistantResponse);
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if (thinkingContent) {
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this.updateThinkingText(thinkingContent);
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// Don't display the raw response with think tags in the chat
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return;
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}
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}
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// Get the existing assistant message or create a new one
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let assistantMessageEl = this.noteContextChatMessages.querySelector('.assistant-message:last-child');
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@ -1099,12 +1089,9 @@ export default class LlmChatPanel extends BasicWidget {
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assistantMessageEl.appendChild(messageContent);
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}
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// Clean the response to remove thinking tags before displaying
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const cleanedResponse = this.removeThinkingTags(assistantResponse);
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// Update the content
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// Update the content with the current response (no thinking content removal)
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const messageContent = assistantMessageEl.querySelector('.message-content') as HTMLElement;
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messageContent.innerHTML = formatMarkdown(cleanedResponse);
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messageContent.innerHTML = formatMarkdown(assistantResponse);
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// Apply syntax highlighting if this is the final update
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if (isDone) {
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@ -1120,65 +1107,24 @@ export default class LlmChatPanel extends BasicWidget {
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this.messages.lastIndexOf(assistantMessages[assistantMessages.length - 1]) : -1;
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if (lastAssistantMsgIndex >= 0) {
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// Update existing message with cleaned content
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this.messages[lastAssistantMsgIndex].content = cleanedResponse;
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// Update existing message
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this.messages[lastAssistantMsgIndex].content = assistantResponse;
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} else {
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// Add new message with cleaned content
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// Add new message
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this.messages.push({
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role: 'assistant',
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content: cleanedResponse
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content: assistantResponse
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});
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}
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// Hide loading indicator
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hideLoadingIndicator(this.loadingIndicator);
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// DON'T save here immediately - let the server save the accumulated response first
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// to avoid race conditions. We'll reload the data from the server after a short delay.
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console.log("Stream completed, waiting for server to save then reloading data...");
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setTimeout(async () => {
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try {
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console.log("About to reload data from server...");
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const currentMessageCount = this.messages.length;
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console.log(`Current client message count before reload: ${currentMessageCount}`);
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// Reload the data from the server which should have the complete conversation
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const reloadSuccess = await this.loadSavedData();
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const newMessageCount = this.messages.length;
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console.log(`Reload success: ${reloadSuccess}, message count after reload: ${newMessageCount}`);
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if (reloadSuccess && newMessageCount > currentMessageCount) {
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console.log("Successfully reloaded data with more complete conversation");
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} else if (!reloadSuccess) {
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console.warn("Reload failed, keeping current client state");
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} else {
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console.warn("Reload succeeded but message count didn't increase");
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}
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} catch (error) {
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console.error("Failed to reload data after stream completion:", error);
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// Fallback: save our current state if reload fails
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this.saveCurrentData().catch(err => {
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console.error("Failed to save assistant response to note:", err);
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});
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}
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}, 1500); // Wait 1.5 seconds for server to complete its save
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// Save the data
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this.saveCurrentData();
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}
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// Scroll to bottom
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this.chatContainer.scrollTop = this.chatContainer.scrollHeight;
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}
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/**
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* Remove thinking tags from response content
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*/
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private removeThinkingTags(content: string): string {
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if (!content) return content;
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// Remove <think>...</think> blocks from the content
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return content.replace(/<think>[\s\S]*?<\/think>/gi, '').trim();
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}
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/**
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* Handle general errors in the send message flow
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*/
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@ -858,92 +858,52 @@ async function streamMessage(req: Request, res: Response) {
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}
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}
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// Create request parameters for the pipeline
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const requestParams = {
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chatNoteId: chatNoteId,
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content: enhancedContent,
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useAdvancedContext: useAdvancedContext === true,
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showThinking: showThinking === true,
|
||||
stream: true // Always stream for this endpoint
|
||||
};
|
||||
|
||||
// Create a fake request/response pair to pass to the handler
|
||||
const fakeReq = {
|
||||
...req,
|
||||
method: 'GET', // Set to GET to indicate streaming
|
||||
query: {
|
||||
stream: 'true', // Set stream param - don't use format: 'stream' to avoid confusion
|
||||
useAdvancedContext: String(useAdvancedContext === true),
|
||||
showThinking: String(showThinking === true)
|
||||
},
|
||||
params: {
|
||||
chatNoteId: chatNoteId
|
||||
},
|
||||
// Make sure the enhanced content is available to the handler
|
||||
body: {
|
||||
content: enhancedContent,
|
||||
useAdvancedContext: useAdvancedContext === true,
|
||||
showThinking: showThinking === true
|
||||
}
|
||||
} as unknown as Request;
|
||||
|
||||
// Log to verify correct parameters
|
||||
log.info(`WebSocket stream settings - useAdvancedContext=${useAdvancedContext === true}, in query=${fakeReq.query.useAdvancedContext}, in body=${fakeReq.body.useAdvancedContext}`);
|
||||
// Extra safety to ensure the parameters are passed correctly
|
||||
if (useAdvancedContext === true) {
|
||||
log.info(`Enhanced context IS enabled for this request`);
|
||||
} else {
|
||||
log.info(`Enhanced context is NOT enabled for this request`);
|
||||
}
|
||||
|
||||
// Process the request in the background
|
||||
Promise.resolve().then(async () => {
|
||||
try {
|
||||
await restChatService.handleSendMessage(fakeReq, res);
|
||||
} catch (error) {
|
||||
log.error(`Background message processing error: ${error}`);
|
||||
|
||||
// Import the WebSocket service
|
||||
const wsService = (await import('../../services/ws.js')).default;
|
||||
|
||||
// Define LLMStreamMessage interface
|
||||
interface LLMStreamMessage {
|
||||
type: 'llm-stream';
|
||||
chatNoteId: string;
|
||||
content?: string;
|
||||
thinking?: string;
|
||||
toolExecution?: any;
|
||||
done?: boolean;
|
||||
error?: string;
|
||||
raw?: unknown;
|
||||
}
|
||||
|
||||
// Send error to client via WebSocket
|
||||
wsService.sendMessageToAllClients({
|
||||
type: 'llm-stream',
|
||||
chatNoteId: chatNoteId,
|
||||
error: `Error processing message: ${error}`,
|
||||
done: true
|
||||
} as LLMStreamMessage);
|
||||
}
|
||||
});
|
||||
|
||||
// Import the WebSocket service
|
||||
// Import the WebSocket service to send immediate feedback
|
||||
const wsService = (await import('../../services/ws.js')).default;
|
||||
|
||||
// Let the client know streaming has started via WebSocket (helps client confirm connection is working)
|
||||
// Let the client know streaming has started
|
||||
wsService.sendMessageToAllClients({
|
||||
type: 'llm-stream',
|
||||
chatNoteId: chatNoteId,
|
||||
thinking: 'Initializing streaming LLM response...'
|
||||
thinking: showThinking ? 'Initializing streaming LLM response...' : undefined
|
||||
});
|
||||
|
||||
// Let the client know streaming has started via HTTP response
|
||||
return {
|
||||
success: true,
|
||||
message: 'Streaming started',
|
||||
chatNoteId: chatNoteId
|
||||
};
|
||||
// Process the streaming request directly
|
||||
try {
|
||||
const result = await restChatService.handleSendMessage({
|
||||
...req,
|
||||
method: 'GET', // Indicate streaming mode
|
||||
query: {
|
||||
...req.query,
|
||||
stream: 'true' // Add the required stream parameter
|
||||
},
|
||||
body: {
|
||||
content: enhancedContent,
|
||||
useAdvancedContext: useAdvancedContext === true,
|
||||
showThinking: showThinking === true
|
||||
},
|
||||
params: { chatNoteId }
|
||||
} as unknown as Request, res);
|
||||
|
||||
// Since we're streaming, the result will be null
|
||||
return {
|
||||
success: true,
|
||||
message: 'Streaming started',
|
||||
chatNoteId: chatNoteId
|
||||
};
|
||||
} catch (error) {
|
||||
log.error(`Error during streaming: ${error}`);
|
||||
|
||||
// Send error to client via WebSocket
|
||||
wsService.sendMessageToAllClients({
|
||||
type: 'llm-stream',
|
||||
chatNoteId: chatNoteId,
|
||||
error: `Error processing message: ${error}`,
|
||||
done: true
|
||||
});
|
||||
|
||||
throw error;
|
||||
}
|
||||
} catch (error: any) {
|
||||
log.error(`Error starting message stream: ${error.message}`);
|
||||
throw error;
|
||||
|
||||
@ -231,21 +231,16 @@ class RestChatService {
|
||||
|
||||
if (data) {
|
||||
message.content = data;
|
||||
// Handle accumulation carefully - if this appears to be a complete response
|
||||
// (done=true and data is much longer than current accumulated), replace rather than append
|
||||
if (done && data.length > accumulatedContentRef.value.length && data.includes(accumulatedContentRef.value)) {
|
||||
// This looks like a complete final response that includes what we've accumulated
|
||||
accumulatedContentRef.value = data;
|
||||
} else {
|
||||
// Normal incremental accumulation
|
||||
accumulatedContentRef.value += data;
|
||||
}
|
||||
// Simple accumulation - just append the new data
|
||||
accumulatedContentRef.value += data;
|
||||
}
|
||||
|
||||
// Only include thinking if explicitly present in rawChunk
|
||||
if (rawChunk && 'thinking' in rawChunk && rawChunk.thinking) {
|
||||
message.thinking = rawChunk.thinking as string;
|
||||
}
|
||||
|
||||
// Only include tool execution if explicitly present in rawChunk
|
||||
if (rawChunk && 'toolExecution' in rawChunk && rawChunk.toolExecution) {
|
||||
const toolExec = rawChunk.toolExecution;
|
||||
message.toolExecution = {
|
||||
@ -262,7 +257,7 @@ class RestChatService {
|
||||
// Send WebSocket message
|
||||
wsService.sendMessageToAllClients(message);
|
||||
|
||||
// Send SSE response
|
||||
// Send SSE response for compatibility
|
||||
const responseData: any = { content: data, done };
|
||||
if (rawChunk?.toolExecution) {
|
||||
responseData.toolExecution = rawChunk.toolExecution;
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user