fix: linter cleanup on flow service implementations

Minor fixes from linter: readonly modifiers, unused parameter prefixes,
type narrowing in graph-rag BFS traversal and edge scoring.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

ts/packages/flow/src/config/service.ts

@@ -35,7 +35,7 @@ interface ConfigPush {
 export class ConfigService extends AsyncProcessor {
   private store = new Map<string, Map<string, unknown>>();
   private version = 0;
-  private persistPath: string | null;
+  private readonly persistPath: string | null;
   private consumer: BackendConsumer<ConfigRequest> | null = null;
   private responseProducer: BackendProducer<ConfigResponse> | null = null;
   private pushProducer: BackendProducer<ConfigPush> | null = null;

ts/packages/flow/src/gateway/dispatch/manager.ts

@@ -66,10 +66,10 @@ function topicName(name: string): string {
 // ---------- Manager ----------
 
 export class DispatcherManager {
-  private pubsub: PubSubBackend;
+  private readonly pubsub: PubSubBackend;
   private requestors = new Map<string, RequestResponse<unknown, unknown>>();
 
-  constructor(private readonly config: GatewayConfig) {
+  constructor(config: GatewayConfig) {
     this.pubsub = new NatsBackend(config.natsUrl ?? "nats://localhost:4222");
   }
 

ts/packages/flow/src/model/text-completion/claude.ts

@@ -9,9 +9,9 @@ import { LlmService, type ProcessorConfig, type LlmResult, type LlmChunk, TooMan
 
 export class ClaudeProcessor extends LlmService {
   private client: Anthropic;
-  private defaultModel: string;
-  private defaultTemperature: number;
-  private maxOutput: number;
+  private readonly defaultModel: string;
+  private readonly defaultTemperature: number;
+  private readonly maxOutput: number;
 
   constructor(config: ProcessorConfig & {
     model?: string;

ts/packages/flow/src/model/text-completion/openai.ts

@@ -9,9 +9,9 @@ import { LlmService, type ProcessorConfig, type LlmResult, type LlmChunk, TooMan
 
 export class OpenAIProcessor extends LlmService {
   private client: OpenAI;
-  private defaultModel: string;
-  private defaultTemperature: number;
-  private maxOutput: number;
+  private readonly defaultModel: string;
+  private readonly defaultTemperature: number;
+  private readonly maxOutput: number;
 
   constructor(config: ProcessorConfig & {
     model?: string;

ts/packages/flow/src/prompt/template.ts

@@ -45,7 +45,7 @@ export interface PromptTemplateConfig extends ProcessorConfig {
 
 export class PromptTemplateService extends FlowProcessor {
   private templates = new Map<string, PromptTemplate>();
-  private configKey: string;
+  private readonly configKey: string;
 
   constructor(config: PromptTemplateConfig) {
     super(config);

ts/packages/flow/src/retrieval/document-rag.ts

@@ -31,7 +31,7 @@ export class DocumentRag {
 
   async query(
     queryText: string,
-    options?: {
+    _options?: {
       collection?: string;
       streaming?: boolean;
       chunkCallback?: ChunkCallback;

ts/packages/flow/src/retrieval/graph-rag.ts

@@ -12,19 +12,19 @@
  */
 
 import type {
-  RequestResponse,
-  TextCompletionRequest,
-  TextCompletionResponse,
   EmbeddingsRequest,
   EmbeddingsResponse,
   GraphEmbeddingsRequest,
   GraphEmbeddingsResponse,
-  TriplesQueryRequest,
-  TriplesQueryResponse,
   PromptRequest,
   PromptResponse,
+  RequestResponse,
   Term,
+  TextCompletionRequest,
+  TextCompletionResponse,
   Triple,
+  TriplesQueryRequest,
+  TriplesQueryResponse,
 } from "@trustgraph/base";
 
 export interface GraphRagConfig {
@@ -87,9 +87,11 @@ export class GraphRag {
     const scoredEdges = await this.scoreEdges(queryText, subgraph);
 
     // Step 6: Synthesize answer
-    const answer = await this.synthesize(queryText, scoredEdges, options?.chunkCallback);
-
-    return answer;
+    return await this.synthesize(
+      queryText,
+      scoredEdges,
+      options?.chunkCallback
+    );
   }
 
   private async extractConcepts(query: string): Promise<string[]> {