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fix hardcoded values part 3

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perf3ct 2025-04-15 17:46:42 +00:00
parent 0d7cfe8061
commit 284ba096d0
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3 changed files with 38 additions and 35 deletions
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35
src/services/llm/context/index.ts
View File

@ -10,6 +10,7 @@ import { chunkContent, semanticChunking } from './content_chunking.js';
import type { ContentChunk, ChunkOptions } from './content_chunking.js';
import { summarizeContent, extractKeyPoints } from './summarization.js';
import { getParentNotes, getParentContext, getChildContext, getLinkedNotesContext } from './hierarchy.js';
import { SEARCH_CONSTANTS } from '../constants/search_constants.js';
/**
* Get semantic context
@ -109,11 +110,11 @@ const DEFAULT_CONTEXT_OPTIONS: Required<ContextOptions> = {
includeLinks: true,
includeSimilar: false,
includeContent: true,
maxParentDepth: 3,
maxChildren: 10,
maxLinks: 10,
maxSimilarNotes: 5,
maxContentLength: 2000
maxParentDepth: SEARCH_CONSTANTS.CONTEXT.MAX_PARENT_DEPTH,
maxChildren: SEARCH_CONSTANTS.CONTEXT.MAX_CHILDREN,
maxLinks: SEARCH_CONSTANTS.CONTEXT.MAX_LINKS,
maxSimilarNotes: SEARCH_CONSTANTS.CONTEXT.MAX_SIMILAR_NOTES,
maxContentLength: SEARCH_CONSTANTS.CONTEXT.MAX_CONTENT_LENGTH
};
/**
@ -264,7 +265,7 @@ export class ContextExtractor {
*/
static extractKeyPoints(
content: string,
maxPoints: number = 5
maxPoints: number = SEARCH_CONSTANTS.CONTEXT.MAX_POINTS
): string[] {
return extractKeyPoints(content, maxPoints);
}
@ -274,7 +275,7 @@ export class ContextExtractor {
*/
extractKeyPoints(
content: string,
maxPoints: number = 5
maxPoints: number = SEARCH_CONSTANTS.CONTEXT.MAX_POINTS
): string[] {
return ContextExtractor.extractKeyPoints(content, maxPoints);
}
@ -284,7 +285,7 @@ export class ContextExtractor {
*/
static async getParentNotes(
noteId: string,
maxParents: number = 5
maxParents: number = SEARCH_CONSTANTS.CONTEXT.MAX_POINTS
): Promise<{id: string, title: string}[]> {
return getParentNotes(noteId, maxParents);
}
@ -294,7 +295,7 @@ export class ContextExtractor {
*/
async getParentNotes(
noteId: string,
maxParents: number = 5
maxParents: number = SEARCH_CONSTANTS.CONTEXT.MAX_POINTS
): Promise<{id: string, title: string}[]> {
return ContextExtractor.getParentNotes(noteId, maxParents);
}
@ -304,8 +305,8 @@ export class ContextExtractor {
*/
static async getParentContext(
noteId: string,
maxDepth: number = 3,
maxParents: number = 3
maxDepth: number = SEARCH_CONSTANTS.CONTEXT.MAX_PARENT_DEPTH,
maxParents: number = SEARCH_CONSTANTS.CONTEXT.MAX_PARENT_DEPTH
): Promise<string> {
return getParentContext(noteId, maxDepth, maxParents);
}
@ -315,8 +316,8 @@ export class ContextExtractor {
*/
async getParentContext(
noteId: string,
maxDepth: number = 3,
maxParents: number = 3
maxDepth: number = SEARCH_CONSTANTS.CONTEXT.MAX_PARENT_DEPTH,
maxParents: number = SEARCH_CONSTANTS.CONTEXT.MAX_PARENT_DEPTH
): Promise<string> {
return ContextExtractor.getParentContext(noteId, maxDepth, maxParents);
}
@ -326,7 +327,7 @@ export class ContextExtractor {
*/
static async getChildContext(
noteId: string,
maxChildren: number = 10,
maxChildren: number = SEARCH_CONSTANTS.CONTEXT.MAX_CHILDREN,
includeContent: boolean = false
): Promise<string> {
return getChildContext(noteId, maxChildren, includeContent);
@ -337,7 +338,7 @@ export class ContextExtractor {
*/
async getChildContext(
noteId: string,
maxChildren: number = 10,
maxChildren: number = SEARCH_CONSTANTS.CONTEXT.MAX_CHILDREN,
includeContent: boolean = false
): Promise<string> {
return ContextExtractor.getChildContext(noteId, maxChildren, includeContent);
@ -348,7 +349,7 @@ export class ContextExtractor {
*/
static async getLinkedNotesContext(
noteId: string,
maxRelations: number = 10
maxRelations: number = SEARCH_CONSTANTS.CONTEXT.MAX_RELATIONS
): Promise<string> {
return getLinkedNotesContext(noteId, maxRelations);
}
@ -358,7 +359,7 @@ export class ContextExtractor {
*/
async getLinkedNotesContext(
noteId: string,
maxRelations: number = 10
maxRelations: number = SEARCH_CONSTANTS.CONTEXT.MAX_RELATIONS
): Promise<string> {
return ContextExtractor.getLinkedNotesContext(noteId, maxRelations);
}

15
src/services/llm/context/services/vector_search_service.ts
View File

@ -17,6 +17,7 @@ import providerManager from '../modules/provider_manager.js';
import cacheManager from '../modules/cache_manager.js';
import type { NoteSearchResult } from '../../interfaces/context_interfaces.js';
import type { LLMServiceInterface } from '../../interfaces/agent_tool_interfaces.js';
import { SEARCH_CONSTANTS } from '../../constants/search_constants.js';
export interface VectorSearchOptions {
maxResults?: number;
@ -50,8 +51,8 @@ export class VectorSearchService {
options: VectorSearchOptions = {}
): Promise<NoteSearchResult[]> {
const {
maxResults = 10,
threshold = 0.6,
maxResults = SEARCH_CONSTANTS.VECTOR_SEARCH.DEFAULT_MAX_RESULTS,
threshold = SEARCH_CONSTANTS.VECTOR_SEARCH.DEFAULT_THRESHOLD,
useEnhancedQueries = false,
summarizeContent = false,
llmService = null
@ -227,8 +228,8 @@ export class VectorSearchService {
// Request summarization with safeguards to prevent recursion
const result = await llmService.generateChatCompletion(messages, {
temperature: 0.3,
maxTokens: 500,
temperature: SEARCH_CONSTANTS.TEMPERATURE.VECTOR_SEARCH,
maxTokens: SEARCH_CONSTANTS.LIMITS.VECTOR_SEARCH_MAX_TOKENS,
// Use any to bypass type checking for these special options
// that are recognized by the LLM service but not in the interface
...(({
@ -262,7 +263,7 @@ export class VectorSearchService {
private async findNotesInBranch(
embedding: Float32Array,
contextNoteId: string,
limit = 5
limit = SEARCH_CONSTANTS.CONTEXT.MAX_SIMILAR_NOTES
): Promise<{noteId: string, similarity: number}[]> {
try {
// Get all notes in the subtree
@ -360,9 +361,9 @@ export class VectorSearchService {
const parentNotes = note.getParentNotes();
let currentNote = parentNotes.length > 0 ? parentNotes[0] : null;
// Build path up to 3 levels
// Build path up to the maximum parent depth
let level = 0;
while (currentNote && level < 3) {
while (currentNote && level < SEARCH_CONSTANTS.CONTEXT.MAX_PARENT_DEPTH) {
path.unshift(currentNote.title);
const grandParents = currentNote.getParentNotes();
currentNote = grandParents.length > 0 ? grandParents[0] : null;

19
src/services/llm/providers/providers.ts
View File

@ -17,6 +17,7 @@ import {
createOllamaOptions
} from './provider_options.js';
import { PROVIDER_CONSTANTS } from '../constants/provider_constants.js';
import { SEARCH_CONSTANTS, MODEL_CAPABILITIES } from '../constants/search_constants.js';
/**
* Simple local embedding provider implementation
@ -402,7 +403,7 @@ export function getOpenAIOptions(
// Get temperature from options or global setting
const temperature = opts.temperature !== undefined
? opts.temperature
: parseFloat(options.getOption('aiTemperature') || '0.7');
: parseFloat(options.getOption('aiTemperature') || String(SEARCH_CONSTANTS.TEMPERATURE.DEFAULT));
return {
// Connection settings
@ -467,7 +468,7 @@ export function getAnthropicOptions(
// Get temperature from options or global setting
const temperature = opts.temperature !== undefined
? opts.temperature
: parseFloat(options.getOption('aiTemperature') || '0.7');
: parseFloat(options.getOption('aiTemperature') || String(SEARCH_CONSTANTS.TEMPERATURE.DEFAULT));
return {
// Connection settings
@ -525,7 +526,7 @@ export async function getOllamaOptions(
// Get temperature from options or global setting
const temperature = opts.temperature !== undefined
? opts.temperature
: parseFloat(options.getOption('aiTemperature') || '0.7');
: parseFloat(options.getOption('aiTemperature') || String(SEARCH_CONSTANTS.TEMPERATURE.DEFAULT));
// Use provided context window or get from model if not specified
const modelContextWindow = contextWindow || await getOllamaModelContextWindow(modelName);
@ -593,19 +594,19 @@ async function getOllamaModelContextWindow(modelName: string): Promise<number> {
// Default context sizes by model family if we couldn't get specific info
if (modelName.includes('llama3')) {
return 8192;
return MODEL_CAPABILITIES['gpt-4'].contextWindowTokens;
} else if (modelName.includes('llama2')) {
return 4096;
return MODEL_CAPABILITIES['default'].contextWindowTokens;
} else if (modelName.includes('mistral') || modelName.includes('mixtral')) {
return 8192;
return MODEL_CAPABILITIES['gpt-4'].contextWindowTokens;
} else if (modelName.includes('gemma')) {
return 8192;
return MODEL_CAPABILITIES['gpt-4'].contextWindowTokens;
}
// Return a reasonable default
return 4096;
return MODEL_CAPABILITIES['default'].contextWindowTokens;
} catch (error) {
log.info(`Error getting context window for model ${modelName}: ${error}`);
return 4096; // Default fallback
return MODEL_CAPABILITIES['default'].contextWindowTokens; // Default fallback
}
}