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chore: import upstream snapshot with attribution
2026-07-13 13:24:08 +08:00

443 lines
14 KiB
TypeScript

/**
* Integration test for GitHub issue #6902:
* "Gemini provider fails with MCP tools due to unsupported additionalProperties in JSON Schema"
*
* This test verifies the complete flow from MCP tools through Google providers
* to ensure schemas are properly sanitized before being sent to the Gemini API.
*/
import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest';
// Mock MCP client to return tools with problematic schemas (additionalProperties, $schema, etc.)
const mcpMocks = vi.hoisted(() => {
const createMockTools = () => [
{
name: 'analyze_prompt',
description: 'Analyzes a prompt for security vulnerabilities',
inputSchema: {
type: 'object',
properties: {
prompt: {
type: 'string',
description: 'The prompt to analyze',
},
severity: {
type: 'string',
enum: ['low', 'medium', 'high', 'critical'],
},
options: {
type: 'object',
properties: {
maxTokens: {
type: 'number',
default: 1000, // Should be removed
},
includeRecommendations: {
type: 'boolean',
default: true, // Should be removed
},
},
additionalProperties: false, // Should be removed
},
},
required: ['prompt'],
additionalProperties: false, // This is the main issue - should be removed
$schema: 'http://json-schema.org/draft-07/schema#', // Should be removed
},
},
{
name: 'search_documents',
description: 'Searches through documents',
inputSchema: {
type: 'object',
properties: {
query: { type: 'string' },
filters: {
type: 'array',
items: {
type: 'object',
properties: {
field: { type: 'string' },
value: { type: 'string' },
},
additionalProperties: false, // Nested - should be removed
},
},
},
additionalProperties: false,
},
},
];
const mockInitialize = vi.fn().mockResolvedValue(undefined);
const mockCleanup = vi.fn().mockResolvedValue(undefined);
const mockGetAllTools = vi.fn().mockReturnValue(createMockTools());
const mockCallTool = vi.fn().mockResolvedValue({
content: 'Tool result',
});
class MockMCPClient {
initialize = mockInitialize;
cleanup = mockCleanup;
getAllTools = mockGetAllTools;
callTool = mockCallTool;
}
return {
MockMCPClient,
mockInitialize,
mockCleanup,
mockGetAllTools,
mockCallTool,
createMockTools,
};
});
// Mock dependencies
vi.mock('../../../src/cache', async (importOriginal) => {
const actual = await importOriginal<typeof import('../../../src/cache')>();
return {
...actual,
fetchWithCache: vi.fn(),
getCache: vi.fn().mockResolvedValue({
get: vi.fn().mockResolvedValue(null),
set: vi.fn().mockResolvedValue(undefined),
}),
isCacheEnabled: vi.fn().mockReturnValue(false),
};
});
vi.mock('../../../src/logger', () => ({
default: {
debug: vi.fn(),
info: vi.fn(),
warn: vi.fn(),
error: vi.fn(),
},
}));
vi.mock('../../../src/providers/mcp/client', () => ({
MCPClient: mcpMocks.MockMCPClient,
}));
vi.mock('../../../src/util/templates', () => ({
getNunjucksEngine: vi.fn(() => ({
renderString: vi.fn((str) => str),
})),
renderPrompt: vi.fn((prompt) => prompt),
}));
import * as cache from '../../../src/cache';
import { AIStudioChatProvider } from '../../../src/providers/google/ai.studio';
import { transformMCPToolsToGoogle } from '../../../src/providers/mcp/transform';
describe('Google Providers MCP Integration (GitHub #6902)', () => {
let capturedRequestBody: any;
beforeEach(() => {
vi.clearAllMocks();
mcpMocks.mockInitialize.mockReset().mockResolvedValue(undefined);
mcpMocks.mockCleanup.mockReset().mockResolvedValue(undefined);
mcpMocks.mockGetAllTools.mockReset().mockReturnValue(mcpMocks.createMockTools());
mcpMocks.mockCallTool.mockReset().mockResolvedValue({
content: 'Tool result',
});
capturedRequestBody = null;
// Mock the API response and capture request body
vi.mocked(cache.fetchWithCache).mockImplementation(async (_url, options: any) => {
// Capture the request body for validation
capturedRequestBody = JSON.parse(options.body);
return {
data: {
candidates: [
{
content: {
parts: [{ text: 'Test response' }],
role: 'model',
},
finishReason: 'STOP',
},
],
usageMetadata: {
promptTokenCount: 10,
candidatesTokenCount: 5,
totalTokenCount: 15,
},
},
cached: false,
status: 200,
statusText: 'OK',
};
});
});
afterEach(async () => {
vi.clearAllMocks();
});
describe('AIStudioChatProvider with MCP', () => {
let provider: AIStudioChatProvider;
beforeEach(() => {
provider = new AIStudioChatProvider('gemini-2.0-flash', {
config: {
apiKey: 'test-api-key',
mcp: {
enabled: true,
server: {
command: 'npx',
args: ['test-mcp-server'],
name: 'test-mcp',
},
},
},
});
});
afterEach(async () => {
await provider.cleanup();
});
it('should sanitize MCP tool schemas before sending to Gemini API', async () => {
// Wait for MCP initialization
await (provider as any).initializationPromise;
// Make an API call
await provider.callApi('Test prompt');
// Verify request was made
expect(cache.fetchWithCache).toHaveBeenCalled();
expect(capturedRequestBody).not.toBeNull();
// Verify tools are in the request
expect(capturedRequestBody.tools).toBeDefined();
expect(capturedRequestBody.tools.length).toBeGreaterThan(0);
const functionDeclarations = capturedRequestBody.tools[0].functionDeclarations;
expect(functionDeclarations).toBeDefined();
expect(functionDeclarations.length).toBe(2);
// Verify analyze_prompt tool is sanitized
const analyzePromptTool = functionDeclarations.find((f: any) => f.name === 'analyze_prompt');
expect(analyzePromptTool).toBeDefined();
const params = analyzePromptTool.parameters;
// Check that unsupported properties are removed at root level
expect(params).not.toHaveProperty('additionalProperties');
expect(params).not.toHaveProperty('$schema');
// Check that types are converted to uppercase
expect(params.type).toBe('OBJECT');
expect(params.properties.prompt.type).toBe('STRING');
expect(params.properties.severity.type).toBe('STRING');
// Check nested options object
const optionsSchema = params.properties.options;
expect(optionsSchema).not.toHaveProperty('additionalProperties');
expect(optionsSchema.type).toBe('OBJECT');
expect(optionsSchema.properties.maxTokens).not.toHaveProperty('default');
expect(optionsSchema.properties.includeRecommendations).not.toHaveProperty('default');
expect(optionsSchema.properties.maxTokens.type).toBe('NUMBER');
expect(optionsSchema.properties.includeRecommendations.type).toBe('BOOLEAN');
// Check that required and enum are preserved
expect(params.required).toEqual(['prompt']);
expect(params.properties.severity.enum).toEqual(['low', 'medium', 'high', 'critical']);
});
it('should sanitize deeply nested array item schemas', async () => {
await (provider as any).initializationPromise;
await provider.callApi('Test prompt');
const functionDeclarations = capturedRequestBody.tools[0].functionDeclarations;
const searchTool = functionDeclarations.find((f: any) => f.name === 'search_documents');
expect(searchTool).toBeDefined();
const params = searchTool.parameters;
// Root level
expect(params).not.toHaveProperty('additionalProperties');
expect(params.type).toBe('OBJECT');
// Array items - nested object schema should also be sanitized
const filtersSchema = params.properties.filters;
expect(filtersSchema.type).toBe('ARRAY');
expect(filtersSchema.items).not.toHaveProperty('additionalProperties');
expect(filtersSchema.items.type).toBe('OBJECT');
expect(filtersSchema.items.properties.field.type).toBe('STRING');
expect(filtersSchema.items.properties.value.type).toBe('STRING');
});
it('should produce valid Gemini request without schema errors', async () => {
await (provider as any).initializationPromise;
// This should not throw - if the schema was not sanitized properly,
// the real Gemini API would return an error like:
// "GenerateContentRequest.tools[0].function_declarations[0].parameters.additionalProperties:
// should not be set for TYPE_OBJECT"
const result = await provider.callApi('Analyze this prompt for security issues');
expect(result.output).toBe('Test response');
expect(result.error).toBeUndefined();
// Verify the complete request body is valid for Gemini
expect(capturedRequestBody).toMatchObject({
contents: expect.any(Array),
tools: [
{
functionDeclarations: expect.arrayContaining([
expect.objectContaining({
name: 'analyze_prompt',
parameters: expect.objectContaining({
type: 'OBJECT',
}),
}),
]),
},
],
});
});
});
describe('VertexChatProvider with MCP', () => {
// Note: VertexChatProvider uses the same transformMCPToolsToGoogle function
// as AIStudioChatProvider, so the schema sanitization is identical.
// The difference is in the API endpoint and authentication.
// The core schema transformation is tested via AIStudio tests above.
it('should use the same MCP tool transformation as AIStudio', () => {
// This test verifies that both providers share the same transformation code
// The transformMCPToolsToGoogle function is used by both AIStudio and Vertex providers
const mcpTools = [
{
name: 'test_tool',
description: 'A test tool',
inputSchema: {
type: 'object',
properties: { query: { type: 'string' } },
additionalProperties: false,
},
},
];
const result = transformMCPToolsToGoogle(mcpTools);
// Verify the transformation works correctly
expect(result[0].functionDeclarations![0].parameters).not.toHaveProperty(
'additionalProperties',
);
expect(result[0].functionDeclarations![0].parameters!.type).toBe('OBJECT');
});
});
describe('Schema validation for Gemini compatibility', () => {
it('should only include Gemini-supported schema properties', async () => {
const provider = new AIStudioChatProvider('gemini-2.0-flash', {
config: {
apiKey: 'test-api-key',
mcp: {
enabled: true,
server: { command: 'test', args: [], name: 'test' },
},
},
});
await (provider as any).initializationPromise;
await provider.callApi('Test');
await provider.cleanup();
const functionDeclarations = capturedRequestBody.tools[0].functionDeclarations;
// Allowed Gemini schema properties
const allowedProperties = new Set([
'type',
'format',
'description',
'nullable',
'enum',
'maxItems',
'minItems',
'properties',
'required',
'propertyOrdering',
'items',
]);
// Check all tools recursively for unsupported properties
const checkSchema = (schema: any, path: string = 'root') => {
if (!schema || typeof schema !== 'object') {
return;
}
for (const key of Object.keys(schema)) {
if (!allowedProperties.has(key)) {
throw new Error(`Unsupported property "${key}" found at ${path}`);
}
// Recurse into nested schemas
if (key === 'properties' && typeof schema[key] === 'object') {
for (const [propName, propSchema] of Object.entries(schema[key])) {
checkSchema(propSchema, `${path}.properties.${propName}`);
}
}
if (key === 'items' && typeof schema[key] === 'object') {
checkSchema(schema[key], `${path}.items`);
}
}
};
// This should not throw
for (const func of functionDeclarations) {
expect(() => checkSchema(func.parameters, func.name)).not.toThrow();
}
});
it('should have all types in uppercase format', async () => {
const provider = new AIStudioChatProvider('gemini-2.0-flash', {
config: {
apiKey: 'test-api-key',
mcp: {
enabled: true,
server: { command: 'test', args: [], name: 'test' },
},
},
});
await (provider as any).initializationPromise;
await provider.callApi('Test');
await provider.cleanup();
const functionDeclarations = capturedRequestBody.tools[0].functionDeclarations;
const validTypes = ['STRING', 'NUMBER', 'INTEGER', 'BOOLEAN', 'ARRAY', 'OBJECT'];
const checkTypes = (schema: any, path: string = 'root') => {
if (!schema || typeof schema !== 'object') {
return;
}
if (schema.type) {
if (!validTypes.includes(schema.type)) {
throw new Error(`Invalid type "${schema.type}" at ${path} - should be uppercase`);
}
}
if (schema.properties) {
for (const [propName, propSchema] of Object.entries(schema.properties)) {
checkTypes(propSchema, `${path}.properties.${propName}`);
}
}
if (schema.items) {
checkTypes(schema.items, `${path}.items`);
}
};
for (const func of functionDeclarations) {
expect(() => checkTypes(func.parameters, func.name)).not.toThrow();
}
});
});
});