Skip to main content
Glama

Genkit MCP

Official
by firebase
test_googlegenai_imagen.py2.45 kB
# Copyright 2025 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. # # SPDX-License-Identifier: Apache-2.0 import base64 import pytest from google import genai from genkit.ai import ActionRunContext from genkit.plugins.google_genai.models.imagen import ImagenModel, ImagenVersion from genkit.types import ( GenerateRequest, GenerateResponse, MediaPart, Message, Role, TextPart, ) @pytest.mark.asyncio @pytest.mark.parametrize('version', [x for x in ImagenVersion]) async def test_generate_media_response(mocker, version): """Test generate method for media responses.""" request_text = 'response question' response_byte_string = b'\x89PNG\r\n\x1a\n' response_mimetype = 'image/png' request = GenerateRequest( messages=[ Message( role=Role.USER, content=[ TextPart(text=request_text), ], ), ], ) response_images = genai.types.GenerateImagesResponse( generated_images=[ genai.types.GeneratedImage( image=genai.types.Image(image_bytes=response_byte_string, mime_type=response_mimetype) ) ] ) googleai_client_mock = mocker.AsyncMock() googleai_client_mock.aio.models.generate_images.return_value = response_images imagen = ImagenModel(version, googleai_client_mock) ctx = ActionRunContext() response = await imagen.generate(request, ctx) googleai_client_mock.assert_has_calls([ mocker.call.aio.models.generate_images(model=version, prompt=request_text, config=None) ]) assert isinstance(response, GenerateResponse) content = response.message.content[0] assert isinstance(content.root, MediaPart) assert content.root.media.content_type == response_mimetype decoded_url = base64.b64decode(content.root.media.url) assert decoded_url == response_byte_string

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/firebase/genkit'

If you have feedback or need assistance with the MCP directory API, please join our Discord server