Merge pull request elizaOS#1379 from ryanleecode/fix/postgres-adapter-settings

fix: postgres adapter settings not being applied

Author: monilpat

packages/adapter-postgres/src/index.ts

@@ -23,6 +23,7 @@ import {
     elizaLogger,
     getEmbeddingConfig,
     DatabaseAdapter,
+    EmbeddingProvider,
 } from "@elizaos/core";
 import fs from "fs";
 import { fileURLToPath } from "url";
@@ -189,6 +190,19 @@ export class PostgresDatabaseAdapter
         try {
             await client.query("BEGIN");
 
+            // Set application settings for embedding dimension
+            const embeddingConfig = getEmbeddingConfig();
+            if (embeddingConfig.provider === EmbeddingProvider.OpenAI) {
+                await client.query("SET app.use_openai_embedding = 'true'");
+                await client.query("SET app.use_ollama_embedding = 'false'");
+            } else if (embeddingConfig.provider === EmbeddingProvider.Ollama) {
+                await client.query("SET app.use_openai_embedding = 'false'");
+                await client.query("SET app.use_ollama_embedding = 'true'");
+            } else {
+                await client.query("SET app.use_openai_embedding = 'false'");
+                await client.query("SET app.use_ollama_embedding = 'false'");
+            }
+
             // Check if schema already exists (check for a core table)
             const { rows } = await client.query(`
                 SELECT EXISTS (

packages/core/src/embedding.ts

@@ -14,14 +14,36 @@ interface EmbeddingOptions {
     provider?: string;
 }
 
-// Add the embedding configuration
-export const getEmbeddingConfig = () => ({
+export const EmbeddingProvider = {
+    OpenAI: "OpenAI",
+    Ollama: "Ollama",
+    GaiaNet: "GaiaNet",
+    BGE: "BGE",
+} as const;
+
+export type EmbeddingProvider =
+    (typeof EmbeddingProvider)[keyof typeof EmbeddingProvider];
+
+export namespace EmbeddingProvider {
+    export type OpenAI = typeof EmbeddingProvider.OpenAI;
+    export type Ollama = typeof EmbeddingProvider.Ollama;
+    export type GaiaNet = typeof EmbeddingProvider.GaiaNet;
+    export type BGE = typeof EmbeddingProvider.BGE;
+}
+
+export type EmbeddingConfig = {
+    readonly dimensions: number;
+    readonly model: string;
+    readonly provider: EmbeddingProvider;
+};
+
+export const getEmbeddingConfig = (): EmbeddingConfig => ({
     dimensions:
         settings.USE_OPENAI_EMBEDDING?.toLowerCase() === "true"
             ? 1536 // OpenAI
             : settings.USE_OLLAMA_EMBEDDING?.toLowerCase() === "true"
               ? 1024 // Ollama mxbai-embed-large
-              :settings.USE_GAIANET_EMBEDDING?.toLowerCase() === "true"
+              : settings.USE_GAIANET_EMBEDDING?.toLowerCase() === "true"
                 ? 768 // GaiaNet
                 : 384, // BGE
     model:
@@ -171,7 +193,7 @@ export async function embed(runtime: IAgentRuntime, input: string) {
     const isNode = typeof process !== "undefined" && process.versions?.node;
 
     // Determine which embedding path to use
-    if (config.provider === "OpenAI") {
+    if (config.provider === EmbeddingProvider.OpenAI) {
         return await getRemoteEmbedding(input, {
             model: config.model,
             endpoint: "https://api.openai.com/v1",
@@ -180,7 +202,7 @@ export async function embed(runtime: IAgentRuntime, input: string) {
         });
     }
 
-    if (config.provider === "Ollama") {
+    if (config.provider === EmbeddingProvider.Ollama) {
         return await getRemoteEmbedding(input, {
             model: config.model,
             endpoint:
@@ -191,7 +213,7 @@ export async function embed(runtime: IAgentRuntime, input: string) {
         });
     }
 
-    if (config.provider=="GaiaNet") {
+    if (config.provider == EmbeddingProvider.GaiaNet) {
         return await getRemoteEmbedding(input, {
             model: config.model,
             endpoint:
@@ -252,9 +274,11 @@ export async function embed(runtime: IAgentRuntime, input: string) {
                         return await import("fastembed");
                     } catch {
                         elizaLogger.error("Failed to load fastembed.");
-                        throw new Error("fastembed import failed, falling back to remote embedding");
+                        throw new Error(
+                            "fastembed import failed, falling back to remote embedding"
+                        );
                     }
-                })()
+                })(),
             ]);
 
             const [fs, { fileURLToPath }, fastEmbed] = moduleImports;