Merge branch 'main' into install-env

Author: Yuan325

.env

@@ -0,0 +1,6 @@
+CLOUD_SQL_POSTGRES_PROJECT=starter-akitsch
+CLOUD_SQL_POSTGRES_REGION=us-west2
+CLOUD_SQL_POSTGRES_INSTANCE=pg15-pgvector-demo
+CLOUD_SQL_POSTGRES_DATABASE=whoop
+CLOUD_SQL_POSTGRES_USER=postgres
+CLOUD_SQL_POSTGRES_PASSWORD=my-pg-pass

.github/workflows/mirror-changelog.yml

@@ -82,7 +82,25 @@ jobs:
               // Match and extract changelog item
               const itemMatch = trimmedLine.match(/^[*-]\s(.*)$/);
               if (itemMatch) {
-                const originalContent = itemMatch[1]; 
+                let originalContent = itemMatch[1]; 
+
+                // This is a two-step process to prevent `release-please` from
+                // creating mangled, doubly-nested links for PRs.
+
+                // STEP 1: CLEAN THE INPUT.
+                // The source changelog contains a zero-width space as an HTML entity (`​`).
+                // This breaks the regex in the next step, so we must remove it first.
+                // E.g., "[#​1770](...)" becomes "[#1770](...)"
+                originalContent = originalContent.replace(/​/g, '');
+
+                // STEP 2: PROTECT THE OUTPUT.
+                // `release-please` aggressively tries to auto-link any text that looks like `#1234`.
+                // To prevent this, we insert an invisible Unicode zero-width space (`\u200B`)
+                // between the '#' and the number in the link text. This breaks the parser's
+                // pattern matching without changing the visual appearance of the link.
+                // E.g., "[#1770](...)" becomes "[genai-toolbox#​1770](...)"
+                originalContent = originalContent.replace(/\[#(\d+)\](\([^)]+\))/g, '[genai-toolbox#\u200B$1]$2');
+                
                 const lineAsLowerCase = originalContent.toLowerCase();
 
                 const hasPrefix = prefixesToFilter.some(prefix => lineAsLowerCase.includes(prefix));

.github/workflows/presubmit-tests.yml

@@ -30,7 +30,7 @@ jobs:
       - name: Install toolbox binary
         run: |
           VERSION=$(cat toolbox_version.txt)
-          curl -L -o toolbox https://storage.googleapis.com/genai-toolbox/v$VERSION/linux/amd64/toolbox
+          curl -L -o toolbox "https://storage.googleapis.com/genai-toolbox/v${VERSION}/linux/amd64/toolbox"
           chmod +x toolbox
 
       - name: Install Extension

CLOUD-SQL-POSTGRESQL.md

@@ -85,3 +85,14 @@ Make sure to not use the environment variable name like `CLOUD_SQL_POSTGRES_PROJ
 **ALWAYS** use the full table name format, `DATABASE_NAME.SCHEMA_NAME.TABLE_NAME` in the generated SQL when using the `execute_sql` or `cloud_sql_postgresql__execute_sql` tool.
 * Default to using "public" for the schema name.
 * Use command `echo $CLOUD_SQL_POSTGRES_DATABASE` to get the current database value.
+
+## Use google_ml_integration for AI use cases
+
+When working with AI features like vector embeddings in Cloud SQL, leverage the `google_ml_integration` extension. This allows for generating embeddings directly within the database, which is the recommended approach over using third-party embedding models.
+
+Embeddings can be generated using the `embedding()` function. For example: `embedding(<model_name>, <text_column_or_variable>)`.
+
+As an agent, if you do not know which model to use, you should use your tools to search for available and appropriate text embedding models compatible with the `google_ml_integration` extension (e.g., by searching for "Cloud SQL google_ml_integration supported models").
+
+When performing similarity searches, remember to cast the result of the `embedding` function to the `vector` type. For example:
+`ORDER BY description_vector <-> embedding(<model_name>, $1)::vector`

toolbox_version.txt

@@ -1 +1 @@
-0.17.0
+0.18.0