Merge branch 'main' into mcp-sem

.ci/integration.cloudbuild.yaml

@@ -305,7 +305,7 @@ steps:
       - "POSTGRES_HOST=$_POSTGRES_HOST"
       - "POSTGRES_PORT=$_POSTGRES_PORT"
       - "SERVICE_ACCOUNT_EMAIL=$SERVICE_ACCOUNT_EMAIL"
-    secretEnv: ["POSTGRES_USER", "POSTGRES_PASS", "CLIENT_ID"]
+    secretEnv: ["POSTGRES_USER", "POSTGRES_PASS", "CLIENT_ID", "API_KEY"]
     volumes:
       - name: "go"
         path: "/gopath"
@@ -964,6 +964,13 @@ steps:
 
 availableSecrets:
   secretManager:
+    # Common secrets
+    - versionName: projects/$PROJECT_ID/secrets/client_id/versions/latest
+      env: CLIENT_ID
+    - versionName: projects/$PROJECT_ID/secrets/api_key/versions/latest
+      env: API_KEY
+
+    # Resource-specific secrets
     - versionName: projects/$PROJECT_ID/secrets/cloud_sql_pg_user/versions/latest
       env: CLOUD_SQL_POSTGRES_USER
     - versionName: projects/$PROJECT_ID/secrets/cloud_sql_pg_pass/versions/latest
@@ -980,8 +987,6 @@ availableSecrets:
       env: POSTGRES_USER
     - versionName: projects/$PROJECT_ID/secrets/postgres_pass/versions/latest
       env: POSTGRES_PASS
-    - versionName: projects/$PROJECT_ID/secrets/client_id/versions/latest
-      env: CLIENT_ID
     - versionName: projects/$PROJECT_ID/secrets/neo4j_user/versions/latest
       env: NEO4J_USER
     - versionName: projects/$PROJECT_ID/secrets/neo4j_pass/versions/latest

internal/server/mcp/v20241105/method.go

@@ -183,6 +183,13 @@ func toolsCallHandler(ctx context.Context, id jsonrpc.RequestId, resourceMgr *re
 	}
 	logger.DebugContext(ctx, fmt.Sprintf("invocation params: %s", params))
 
+	embeddingModels := resourceMgr.GetEmbeddingModelMap()
+	params, err = tool.EmbedParams(ctx, params, embeddingModels)
+	if err != nil {
+		err = fmt.Errorf("error embedding parameters: %w", err)
+		return jsonrpc.NewError(id, jsonrpc.INVALID_PARAMS, err.Error(), nil), err
+	}
+
 	// run tool invocation and generate response.
 	results, err := tool.Invoke(ctx, resourceMgr, params, accessToken)
 	if err != nil {

internal/server/mcp/v20250326/method.go

@@ -183,6 +183,13 @@ func toolsCallHandler(ctx context.Context, id jsonrpc.RequestId, resourceMgr *re
 	}
 	logger.DebugContext(ctx, fmt.Sprintf("invocation params: %s", params))
 
+	embeddingModels := resourceMgr.GetEmbeddingModelMap()
+	params, err = tool.EmbedParams(ctx, params, embeddingModels)
+	if err != nil {
+		err = fmt.Errorf("error embedding parameters: %w", err)
+		return jsonrpc.NewError(id, jsonrpc.INVALID_PARAMS, err.Error(), nil), err
+	}
+
 	// run tool invocation and generate response.
 	results, err := tool.Invoke(ctx, resourceMgr, params, accessToken)
 	if err != nil {

internal/server/mcp/v20250618/method.go

@@ -176,6 +176,13 @@ func toolsCallHandler(ctx context.Context, id jsonrpc.RequestId, resourceMgr *re
 	}
 	logger.DebugContext(ctx, fmt.Sprintf("invocation params: %s", params))
 
+	embeddingModels := resourceMgr.GetEmbeddingModelMap()
+	params, err = tool.EmbedParams(ctx, params, embeddingModels)
+	if err != nil {
+		err = fmt.Errorf("error embedding parameters: %w", err)
+		return jsonrpc.NewError(id, jsonrpc.INVALID_PARAMS, err.Error(), nil), err
+	}
+
 	// run tool invocation and generate response.
 	results, err := tool.Invoke(ctx, resourceMgr, params, accessToken)
 	if err != nil {

tests/embedding.go

@@ -0,0 +1,245 @@
+// Copyright 2026 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+// Package tests contains end to end tests meant to verify the Toolbox Server
+// works as expected when executed as a binary.
+
+package tests
+
+import (
+	"bytes"
+	"context"
+	"encoding/json"
+	"fmt"
+	"io"
+	"net/http"
+	"os"
+	"strings"
+	"testing"
+
+	"github.com/google/uuid"
+	"github.com/googleapis/genai-toolbox/internal/server/mcp/jsonrpc"
+	"github.com/jackc/pgx/v5/pgxpool"
+)
+
+var apiKey = os.Getenv("API_KEY")
+
+// AddSemanticSearchConfig adds embedding models and semantic search tools to the config
+// with configurable tool kind and SQL statements.
+func AddSemanticSearchConfig(t *testing.T, config map[string]any, toolKind, insertStmt, searchStmt string) map[string]any {
+	config["embeddingModels"] = map[string]any{
+		"gemini_model": map[string]any{
+			"kind":      "gemini",
+			"model":     "gemini-embedding-001",
+			"apiKey":    apiKey,
+			"dimension": 768,
+		},
+	}
+
+	tools, ok := config["tools"].(map[string]any)
+	if !ok {
+		t.Fatalf("unable to get tools from config")
+	}
+
+	tools["insert_docs"] = map[string]any{
+		"kind":        toolKind,
+		"source":      "my-instance",
+		"description": "Stores content and its vector embedding into the documents table.",
+		"statement":   insertStmt,
+		"parameters": []any{
+			map[string]any{
+				"name":        "content",
+				"type":        "string",
+				"description": "The text content associated with the vector.",
+			},
+			map[string]any{
+				"name":        "text_to_embed",
+				"type":        "string",
+				"description": "The text content used to generate the vector.",
+				"embeddedBy":  "gemini_model",
+			},
+		},
+	}
+
+	tools["search_docs"] = map[string]any{
+		"kind":        toolKind,
+		"source":      "my-instance",
+		"description": "Finds the most semantically similar document to the query vector.",
+		"statement":   searchStmt,
+		"parameters": []any{
+			map[string]any{
+				"name":        "query",
+				"type":        "string",
+				"description": "The text content to search for.",
+				"embeddedBy":  "gemini_model",
+			},
+		},
+	}
+
+	config["tools"] = tools
+	return config
+}
+
+// RunSemanticSearchToolInvokeTest runs the insert_docs and search_docs tools
+// via both HTTP and MCP endpoints and verifies the output.
+func RunSemanticSearchToolInvokeTest(t *testing.T, insertWant, searchWant string) {
+	// Initialize MCP session once for the MCP test cases
+	sessionId := RunInitialize(t, "2024-11-05")
+
+	tcs := []struct {
+		name        string
+		api         string
+		isMcp       bool
+		requestBody interface{}
+		want        string
+	}{
+		{
+			name:        "HTTP invoke insert_docs",
+			api:         "http://127.0.0.1:5000/api/tool/insert_docs/invoke",
+			isMcp:       false,
+			requestBody: `{"content": "The quick brown fox jumps over the lazy dog", "text_to_embed": "The quick brown fox jumps over the lazy dog"}`,
+			want:        insertWant,
+		},
+		{
+			name:        "HTTP invoke search_docs",
+			api:         "http://127.0.0.1:5000/api/tool/search_docs/invoke",
+			isMcp:       false,
+			requestBody: `{"query": "fast fox jumping"}`,
+			want:        searchWant,
+		},
+		{
+			name:  "MCP invoke insert_docs",
+			api:   "http://127.0.0.1:5000/mcp",
+			isMcp: true,
+			requestBody: jsonrpc.JSONRPCRequest{
+				Jsonrpc: "2.0",
+				Id:      "mcp-insert-docs",
+				Request: jsonrpc.Request{
+					Method: "tools/call",
+				},
+				Params: map[string]any{
+					"name": "insert_docs",
+					"arguments": map[string]any{
+						"content":       "The quick brown fox jumps over the lazy dog",
+						"text_to_embed": "The quick brown fox jumps over the lazy dog",
+					},
+				},
+			},
+			want: insertWant,
+		},
+		{
+			name:  "MCP invoke search_docs",
+			api:   "http://127.0.0.1:5000/mcp",
+			isMcp: true,
+			requestBody: jsonrpc.JSONRPCRequest{
+				Jsonrpc: "2.0",
+				Id:      "mcp-search-docs",
+				Request: jsonrpc.Request{
+					Method: "tools/call",
+				},
+				Params: map[string]any{
+					"name": "search_docs",
+					"arguments": map[string]any{
+						"query": "fast fox jumping",
+					},
+				},
+			},
+			want: searchWant,
+		},
+	}
+
+	for _, tc := range tcs {
+		t.Run(tc.name, func(t *testing.T) {
+			var bodyReader io.Reader
+			headers := map[string]string{}
+
+			// Prepare Request Body and Headers
+			if tc.isMcp {
+				reqBytes, err := json.Marshal(tc.requestBody)
+				if err != nil {
+					t.Fatalf("failed to marshal mcp request: %v", err)
+				}
+				bodyReader = bytes.NewBuffer(reqBytes)
+				if sessionId != "" {
+					headers["Mcp-Session-Id"] = sessionId
+				}
+			} else {
+				bodyReader = bytes.NewBufferString(tc.requestBody.(string))
+			}
+
+			// Send Request
+			resp, respBody := RunRequest(t, http.MethodPost, tc.api, bodyReader, headers)
+
+			if resp.StatusCode != http.StatusOK {
+				t.Fatalf("response status code is not 200, got %d: %s", resp.StatusCode, string(respBody))
+			}
+
+			// Normalize Response to get the actual tool result string
+			var got string
+			if tc.isMcp {
+				var mcpResp struct {
+					Result struct {
+						Content []struct {
+							Text string `json:"text"`
+						} `json:"content"`
+					} `json:"result"`
+				}
+				if err := json.Unmarshal(respBody, &mcpResp); err != nil {
+					t.Fatalf("error parsing mcp response: %s", err)
+				}
+				if len(mcpResp.Result.Content) > 0 {
+					got = mcpResp.Result.Content[0].Text
+				}
+			} else {
+				var httpResp map[string]interface{}
+				if err := json.Unmarshal(respBody, &httpResp); err != nil {
+					t.Fatalf("error parsing http response: %s", err)
+				}
+				if res, ok := httpResp["result"].(string); ok {
+					got = res
+				}
+			}
+
+			if !strings.Contains(got, tc.want) {
+				t.Fatalf("unexpected value: got %q, want %q", got, tc.want)
+			}
+		})
+	}
+}
+
+// SetupPostgresVectorTable sets up the vector extension and a vector table
+func SetupPostgresVectorTable(t *testing.T, ctx context.Context, pool *pgxpool.Pool) func(*testing.T) {
+	t.Helper()
+	if _, err := pool.Exec(ctx, "CREATE EXTENSION IF NOT EXISTS vector"); err != nil {
+		t.Fatalf("failed to create vector extension: %v", err)
+	}
+
+	tableName := "vector_table_" + strings.ReplaceAll(uuid.New().String(), "-", "")
+
+	createTableStmt := fmt.Sprintf(`CREATE TABLE %s (
+		id SERIAL PRIMARY KEY, 
+		content TEXT, 
+		embedding vector(768)
+	)`, tableName)
+
+	if _, err := pool.Exec(ctx, createTableStmt); err != nil {
+		t.Fatalf("failed to create table %s: %v", tableName, err)
+	}
+
+	return func(t *testing.T) {
+		if _, err := pool.Exec(ctx, fmt.Sprintf("DROP TABLE IF EXISTS %s", tableName)); err != nil {
+			t.Errorf("failed to drop table %s: %v", tableName, err)
+		}
+	}
+}

tests/postgres/postgres_integration_test.go

@@ -111,12 +111,20 @@ func TestPostgres(t *testing.T) {
 	teardownTable2 := tests.SetupPostgresSQLTable(t, ctx, pool, createAuthTableStmt, insertAuthTableStmt, tableNameAuth, authTestParams)
 	defer teardownTable2(t)
 
+	// Set up table for semanti search
+	tearDownVectorTable := tests.SetupPostgresVectorTable(t, ctx, pool)
+	defer tearDownVectorTable(t)
+
 	// Write config into a file and pass it to command
 	toolsFile := tests.GetToolsConfig(sourceConfig, PostgresToolKind, paramToolStmt, idParamToolStmt, nameParamToolStmt, arrayToolStmt, authToolStmt)
 	toolsFile = tests.AddExecuteSqlConfig(t, toolsFile, "postgres-execute-sql")
 	tmplSelectCombined, tmplSelectFilterCombined := tests.GetPostgresSQLTmplToolStatement()
 	toolsFile = tests.AddTemplateParamConfig(t, toolsFile, PostgresToolKind, tmplSelectCombined, tmplSelectFilterCombined, "")
 	toolsFile = tests.AddPostgresPrebuiltConfig(t, toolsFile)
+	// Add semantic search tool config
+	insertStmt := "INSERT INTO documents (content, embedding) VALUES ($1, $2)"
+	searchStmt := "SELECT id, content, embedding <-> $1 AS distance FROM documents ORDER BY distance LIMIT 1"
+	toolsFile = tests.AddSemanticSearchConfig(t, toolsFile, PostgresToolKind, insertStmt, searchStmt)
 
 	cmd, cleanup, err := tests.StartCmd(ctx, toolsFile, args...)
 	if err != nil {
@@ -165,4 +173,5 @@ func TestPostgres(t *testing.T) {
 	tests.RunPostgresListDatabaseStatsTest(t, ctx, pool)
 	tests.RunPostgresListRolesTest(t, ctx, pool)
 	tests.RunPostgresListStoredProcedureTest(t, ctx, pool)
+	tests.RunSemanticSearchToolInvokeTest(t, "null", "The quick brown fox")
 }