chore: rename memory-lancedb extension folder

extensions/memory-lancedb/config.ts

@@ -0,0 +1,102 @@
+import { Type } from "@sinclair/typebox";
+import { homedir } from "node:os";
+import { join } from "node:path";
+
+export type MemoryConfig = {
+  embedding: {
+    provider: "openai";
+    model?: string;
+    apiKey: string;
+  };
+  dbPath?: string;
+  autoCapture?: boolean;
+  autoRecall?: boolean;
+};
+
+export const MEMORY_CATEGORIES = ["preference", "fact", "decision", "entity", "other"] as const;
+export type MemoryCategory = (typeof MEMORY_CATEGORIES)[number];
+
+const DEFAULT_MODEL = "text-embedding-3-small";
+const DEFAULT_DB_PATH = join(homedir(), ".clawdbot", "memory", "lancedb");
+
+const EMBEDDING_DIMENSIONS: Record<string, number> = {
+  "text-embedding-3-small": 1536,
+  "text-embedding-3-large": 3072,
+};
+
+export function vectorDimsForModel(model: string): number {
+  const dims = EMBEDDING_DIMENSIONS[model];
+  if (!dims) {
+    throw new Error(`Unsupported embedding model: ${model}`);
+  }
+  return dims;
+}
+
+function resolveEnvVars(value: string): string {
+  return value.replace(/\$\{([^}]+)\}/g, (_, envVar) => {
+    const envValue = process.env[envVar];
+    if (!envValue) {
+      throw new Error(`Environment variable ${envVar} is not set`);
+    }
+    return envValue;
+  });
+}
+
+function resolveEmbeddingModel(embedding: Record<string, unknown>): string {
+  const model = typeof embedding.model === "string" ? embedding.model : DEFAULT_MODEL;
+  vectorDimsForModel(model);
+  return model;
+}
+
+export const memoryConfigSchema = {
+  parse(value: unknown): MemoryConfig {
+    if (!value || typeof value !== "object" || Array.isArray(value)) {
+      throw new Error("memory config required");
+    }
+    const cfg = value as Record<string, unknown>;
+
+    const embedding = cfg.embedding as Record<string, unknown> | undefined;
+    if (!embedding || typeof embedding.apiKey !== "string") {
+      throw new Error("embedding.apiKey is required");
+    }
+
+    const model = resolveEmbeddingModel(embedding);
+
+    return {
+      embedding: {
+        provider: "openai",
+        model,
+        apiKey: resolveEnvVars(embedding.apiKey),
+      },
+      dbPath: typeof cfg.dbPath === "string" ? cfg.dbPath : DEFAULT_DB_PATH,
+      autoCapture: cfg.autoCapture !== false,
+      autoRecall: cfg.autoRecall !== false,
+    };
+  },
+  uiHints: {
+    "embedding.apiKey": {
+      label: "OpenAI API Key",
+      sensitive: true,
+      placeholder: "sk-proj-...",
+      help: "API key for OpenAI embeddings (or use ${OPENAI_API_KEY})",
+    },
+    "embedding.model": {
+      label: "Embedding Model",
+      placeholder: DEFAULT_MODEL,
+      help: "OpenAI embedding model to use",
+    },
+    dbPath: {
+      label: "Database Path",
+      placeholder: "~/.clawdbot/memory/lancedb",
+      advanced: true,
+    },
+    autoCapture: {
+      label: "Auto-Capture",
+      help: "Automatically capture important information from conversations",
+    },
+    autoRecall: {
+      label: "Auto-Recall",
+      help: "Automatically inject relevant memories into context",
+    },
+  },
+};