reduce the use of any, part 2

src/services/llm/context/code_handlers.ts

@@ -3,7 +3,7 @@
  */
 
 // Import highlight.js dynamically when needed
-let hljs: any = null;
+let hljs: object | null = null;
 
 /**
  * Attempt to detect the programming language from code content or note attributes
@@ -134,8 +134,9 @@ export function extractCodeStructure(content: string, language: string): string
                     structure += "First few code lines:\n" + firstCodeLines.join('\n');
                 }
         }
-    } catch (e: any) {
-        return `Error extracting code structure: ${e.message}`;
+    } catch (e: unknown) {
+        const errorMessage = e instanceof Error ? e.message : String(e);
+        return `Error extracting code structure: ${errorMessage}`;
     }
 
     return structure;

src/services/llm/embeddings/chunking/chunking_interface.ts

@@ -1,4 +1,5 @@
 import type { NoteEmbeddingContext } from "../types.js";
+import type { EmbeddingProvider } from "../embeddings_interface.js";
 
 /**
  * Interface for chunking operations
@@ -9,7 +10,7 @@ export interface ChunkingOperations {
      */
     processNoteWithChunking(
         noteId: string,
-        provider: any,
+        provider: EmbeddingProvider,
         context: NoteEmbeddingContext
     ): Promise<void>;
 }

src/services/llm/embeddings/chunking/chunking_processor.ts

@@ -4,6 +4,8 @@ import sql from "../../../sql.js";
 import becca from "../../../../becca/becca.js";
 import cls from "../../../../services/cls.js";
 import type { NoteEmbeddingContext } from "../types.js";
+import type { EmbeddingProvider } from "../embeddings_interface.js";
+import type { EmbeddingConfig } from "../embeddings_interface.js";
 import { LLM_CONSTANTS } from "../../../llm/constants/provider_constants.js";
 import { EMBEDDING_PROCESSING } from '../../constants/search_constants.js';
 
@@ -37,6 +39,15 @@ const MAX_CHUNK_RETRY_ATTEMPTS = EMBEDDING_PROCESSING.MAX_CHUNK_RETRY_ATTEMPTS;
 const DEFAULT_MAX_CHUNK_PROCESSING_TIME = EMBEDDING_PROCESSING.DEFAULT_MAX_CHUNK_PROCESSING_TIME;
 const OLLAMA_MAX_CHUNK_PROCESSING_TIME = EMBEDDING_PROCESSING.OLLAMA_MAX_CHUNK_PROCESSING_TIME;
 
+/**
+ * Interface for chunks from the chunking process
+ */
+interface ContentChunk {
+    content: string;
+    index: number;
+    metadata?: Record<string, unknown>;
+}
+
 /**
  * Categorize an error as temporary or permanent based on its message
  * @param errorMessage - The error message to categorize
@@ -70,9 +81,13 @@ function categorizeError(errorMessage: string): 'temporary' | 'permanent' | 'unk
  * @param timeoutMs - Timeout in milliseconds
  * @returns The generated embedding
  */
-async function processChunkWithTimeout(provider: any, chunk: any, timeoutMs: number): Promise<any> {
+async function processChunkWithTimeout(
+    provider: EmbeddingProvider,
+    chunk: { content: string },
+    timeoutMs: number
+): Promise<Float32Array> {
     // Create a promise that rejects after the timeout
-    const timeoutPromise = new Promise((_, reject) => {
+    const timeoutPromise = new Promise<never>((_, reject) => {
         setTimeout(() => {
             reject(new Error(`Chunk processing timed out after ${timeoutMs}ms`));
         }, timeoutMs);
@@ -95,7 +110,7 @@ async function processChunkWithTimeout(provider: any, chunk: any, timeoutMs: num
  */
 export async function processNoteWithChunking(
     noteId: string,
-    provider: any,
+    provider: EmbeddingProvider,
     context: NoteEmbeddingContext
 ): Promise<void> {
     // Track the overall start time
@@ -407,3 +422,56 @@ export async function processNoteWithChunking(
         throw error;
     }
 }
+
+/**
+ * Process a chunk with retry logic to handle errors
+ * @param index - The chunk index for tracking
+ * @param chunk - The content chunk
+ * @param provider - The embedding provider
+ * @param noteId - ID of the note being processed
+ * @param config - Embedding configuration
+ * @param startTime - When the overall process started
+ * @param storage - The storage module
+ * @param maxTimePerChunk - Max time per chunk processing
+ * @param retryAttempt - Current retry attempt number
+ */
+async function processChunkWithRetry(
+    index: number,
+    chunk: ContentChunk,
+    provider: EmbeddingProvider,
+    noteId: string,
+    config: EmbeddingConfig,
+    startTime: number,
+    storage: typeof import('../storage.js'),
+    maxTimePerChunk: number,
+    retryAttempt = 0
+): Promise<boolean> {
+    try {
+        // Try to generate embedding with timeout
+        const embedding = await processChunkWithTimeout(provider, chunk, maxTimePerChunk);
+
+        // Store the embedding with the chunk ID
+        const chunkId = `${noteId}_chunk${index}`;
+        await storage.storeNoteEmbedding(chunkId, provider.name, config.model, embedding);
+
+        return true;
+    } catch (error: unknown) {
+        const errorMessage = error instanceof Error ? error.message : String(error);
+        const category = categorizeError(errorMessage);
+
+        // If we haven't exceeded the retry limit and it's a temporary error, retry
+        if (retryAttempt < MAX_CHUNK_RETRY_ATTEMPTS && (category === 'temporary' || category === 'unknown')) {
+            // Exponential backoff
+            const delayMs = Math.min(1000 * Math.pow(2, retryAttempt), 15000);
+            log.info(`Retrying chunk ${index} after ${delayMs}ms (attempt ${retryAttempt + 1}/${MAX_CHUNK_RETRY_ATTEMPTS})`);
+            await new Promise(resolve => setTimeout(resolve, delayMs));
+
+            return processChunkWithRetry(
+                index, chunk, provider, noteId, config, startTime, storage, maxTimePerChunk, retryAttempt + 1
+            );
+        } else {
+            log.error(`Failed to process chunk ${index} after ${retryAttempt + 1} attempts: ${errorMessage}`);
+            return false;
+        }
+    }
+}

src/services/llm/pipeline/interfaces.ts

@@ -5,7 +5,7 @@ import type { LLMServiceInterface } from '../interfaces/agent_tool_interfaces.js
  * Base interface for pipeline input
  */
 export interface PipelineInput {
-    [key: string]: any;
+    [key: string]: unknown;
 }
 
 /**
@@ -51,7 +51,7 @@ export interface StageMetrics {
  * @param isDone Whether this is the final chunk
  * @param originalChunk The original chunk with all metadata for custom handling
  */
-export type StreamCallback = (text: string, isDone: boolean, originalChunk?: any) => Promise<void> | void;
+export type StreamCallback = (text: string, isDone: boolean, originalChunk?: StreamChunk) => Promise<void> | void;
 
 /**
  * Common input for all chat-related pipeline stages
@@ -88,7 +88,7 @@ export interface VectorSearchInput extends PipelineInput {
  * Base interface for pipeline stage output
  */
 export interface PipelineOutput {
-    [key: string]: any;
+    [key: string]: unknown;
 }
 
 /**