diff --git a/py/plugins/xai/LICENSE b/py/plugins/xai/LICENSE new file mode 100644 index 0000000000..932a3e7895 --- /dev/null +++ b/py/plugins/xai/LICENSE @@ -0,0 +1,13 @@ +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. diff --git a/py/plugins/xai/README.md b/py/plugins/xai/README.md new file mode 100644 index 0000000000..6de2499cc7 --- /dev/null +++ b/py/plugins/xai/README.md @@ -0,0 +1,19 @@ +# xAI Sample + +1. Setup environment and install dependencies: +```bash +uv venv +source .venv/bin/activate + +uv sync +``` + +2. Set xAI API key: +```bash +export XAI_API_KEY=your-api-key +``` + +3. Run the sample: +```bash +genkit start -- uv run src/xai_hello.py +``` diff --git a/py/plugins/xai/conftest.py b/py/plugins/xai/conftest.py new file mode 100644 index 0000000000..f436d78d3c --- /dev/null +++ b/py/plugins/xai/conftest.py @@ -0,0 +1,25 @@ +# 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 + +"""Pytest configuration for xAI plugin tests.""" + +import sys +from pathlib import Path + +# Add src directory to path for test imports +src_path = Path(__file__).parent / 'src' +if str(src_path) not in sys.path: + sys.path.insert(0, str(src_path)) diff --git a/py/plugins/xai/pyproject.toml b/py/plugins/xai/pyproject.toml new file mode 100644 index 0000000000..3c37a1cd16 --- /dev/null +++ b/py/plugins/xai/pyproject.toml @@ -0,0 +1,52 @@ +# 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 + +[project] +authors = [{ name = "Google" }] +classifiers = [ + "Development Status :: 3 - Alpha", + "Environment :: Console", + "Environment :: Web Environment", + "Intended Audience :: Developers", + "Operating System :: OS Independent", + "License :: OSI Approved :: Apache Software License", + "Programming Language :: Python", + "Programming Language :: Python :: 3 :: Only", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", + "Programming Language :: Python :: 3.14", + "Topic :: Scientific/Engineering :: Artificial Intelligence", + "Topic :: Software Development :: Libraries", +] +dependencies = [ + "genkit", + "xai-sdk>=0.0.1", +] +description = "Genkit xAI Plugin" +license = { text = "Apache-2.0" } +name = "genkit-plugin-xai" +readme = "README.md" +requires-python = ">=3.10" +version = "0.1.0" + +[build-system] +build-backend = "hatchling.build" +requires = ["hatchling"] + +[tool.hatch.build.targets.wheel] +packages = ["src/genkit", "src/genkit/plugins"] diff --git a/py/plugins/xai/src/genkit/plugins/xai/__init__.py b/py/plugins/xai/src/genkit/plugins/xai/__init__.py new file mode 100644 index 0000000000..df55a12fb3 --- /dev/null +++ b/py/plugins/xai/src/genkit/plugins/xai/__init__.py @@ -0,0 +1,21 @@ +# 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 + +"""xAI plugin for Genkit.""" + +from genkit.plugins.xai.plugin import XAI, xai_name + +__all__ = ['XAI', 'xai_name'] diff --git a/py/plugins/xai/src/genkit/plugins/xai/model_info.py b/py/plugins/xai/src/genkit/plugins/xai/model_info.py new file mode 100644 index 0000000000..d950d4dbf8 --- /dev/null +++ b/py/plugins/xai/src/genkit/plugins/xai/model_info.py @@ -0,0 +1,75 @@ +# 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 + +"""xAI model information.""" + +from genkit.types import ModelInfo, Supports + +__all__ = ['SUPPORTED_XAI_MODELS', 'get_model_info'] + +_LANGUAGE_MODEL_SUPPORTS = Supports( + multiturn=True, + tools=True, + media=False, + system_role=True, + output=['text', 'json'], +) + +_VISION_MODEL_SUPPORTS = Supports( + multiturn=False, + tools=True, + media=True, + system_role=False, + output=['text', 'json'], +) + +SUPPORTED_XAI_MODELS: dict[str, ModelInfo] = { + 'grok-3': ModelInfo( + label='xAI - Grok 3', + versions=['grok-3'], + supports=_LANGUAGE_MODEL_SUPPORTS, + ), + 'grok-3-fast': ModelInfo( + label='xAI - Grok 3 Fast', + versions=['grok-3-fast'], + supports=_LANGUAGE_MODEL_SUPPORTS, + ), + 'grok-3-mini': ModelInfo( + label='xAI - Grok 3 Mini', + versions=['grok-3-mini'], + supports=_LANGUAGE_MODEL_SUPPORTS, + ), + 'grok-3-mini-fast': ModelInfo( + label='xAI - Grok 3 Mini Fast', + versions=['grok-3-mini-fast'], + supports=_LANGUAGE_MODEL_SUPPORTS, + ), + 'grok-2-vision-1212': ModelInfo( + label='xAI - Grok 2 Vision', + versions=['grok-2-vision-1212'], + supports=_VISION_MODEL_SUPPORTS, + ), +} + + +def get_model_info(name: str) -> ModelInfo: + return SUPPORTED_XAI_MODELS.get( + name, + ModelInfo( + label=f'xAI - {name}', + supports=_LANGUAGE_MODEL_SUPPORTS, + ), + ) diff --git a/py/plugins/xai/src/genkit/plugins/xai/models.py b/py/plugins/xai/src/genkit/plugins/xai/models.py new file mode 100644 index 0000000000..a8fff11874 --- /dev/null +++ b/py/plugins/xai/src/genkit/plugins/xai/models.py @@ -0,0 +1,298 @@ +# 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 + +"""xAI model implementations.""" + +import asyncio +import json +from typing import Any + +from xai_sdk import Client as XAIClient +from xai_sdk.proto.v6 import chat_pb2 + +from genkit.ai import ActionRunContext +from genkit.blocks.model import get_basic_usage_stats +from genkit.core.schema import to_json_schema +from genkit.plugins.xai.model_info import get_model_info +from genkit.types import ( + GenerateRequest, + GenerateResponse, + GenerateResponseChunk, + GenerationUsage, + MediaPart, + Message, + Part, + Role, + TextPart, + ToolRequestPart, + ToolResponsePart, +) + +__all__ = ['XAIModel'] + +DEFAULT_MAX_OUTPUT_TOKENS = 4096 + +FINISH_REASON_MAP = { + 'STOP': 'stop', + 'LENGTH': 'length', + 'TOOL_CALLS': 'stop', + 'CONTENT_FILTER': 'other', +} + +ROLE_MAP = { + Role.SYSTEM: chat_pb2.MessageRole.ROLE_SYSTEM, + Role.USER: chat_pb2.MessageRole.ROLE_USER, + Role.MODEL: chat_pb2.MessageRole.ROLE_ASSISTANT, + Role.TOOL: chat_pb2.MessageRole.ROLE_TOOL, +} + + +class XAIModel: + """xAI Grok model for Genkit.""" + + def __init__(self, model_name: str, client: XAIClient) -> None: + model_info = get_model_info(model_name) + self.model_name = model_info.versions[0] if model_info.versions else model_name + self.client = client + + async def generate(self, request: GenerateRequest, ctx: ActionRunContext | None = None) -> GenerateResponse: + params = self._build_params(request) + streaming = ctx and ctx.is_streaming + + if streaming: + return await self._generate_streaming(params, request, ctx) + + def _sample(): + chat = self.client.chat.create(**params) + return chat.sample() + + response = await asyncio.to_thread(_sample) + content = self._to_genkit_content(response) + response_message = Message(role=Role.MODEL, content=content) + basic_usage = get_basic_usage_stats(input_=request.messages, response=response_message) + + return GenerateResponse( + message=response_message, + usage=GenerationUsage( + input_tokens=response.usage.prompt_tokens, + output_tokens=response.usage.completion_tokens, + total_tokens=response.usage.total_tokens, + input_characters=basic_usage.input_characters, + output_characters=basic_usage.output_characters, + input_images=basic_usage.input_images, + output_images=basic_usage.output_images, + ), + finish_reason=FINISH_REASON_MAP.get(response.finish_reason, 'unknown'), + ) + + def _build_params(self, request: GenerateRequest) -> dict[str, Any]: + """Build xAI API parameters from request.""" + config = request.config + if isinstance(config, dict): + max_tokens = config.get('max_output_tokens') or DEFAULT_MAX_OUTPUT_TOKENS + temperature = config.get('temperature') + top_p = config.get('top_p') + stop = config.get('stop_sequences') + frequency_penalty = config.get('frequency_penalty') + presence_penalty = config.get('presence_penalty') + web_search_options = config.get('web_search_options') + deferred = config.get('deferred') + reasoning_effort = config.get('reasoning_effort') + else: + max_tokens = (config.max_output_tokens if config else None) or DEFAULT_MAX_OUTPUT_TOKENS + temperature = getattr(config, 'temperature', None) if config else None + top_p = getattr(config, 'top_p', None) if config else None + stop = getattr(config, 'stop_sequences', None) if config else None + frequency_penalty = getattr(config, 'frequency_penalty', None) if config else None + presence_penalty = getattr(config, 'presence_penalty', None) if config else None + web_search_options = getattr(config, 'web_search_options', None) if config else None + deferred = getattr(config, 'deferred', None) if config else None + reasoning_effort = getattr(config, 'reasoning_effort', None) if config else None + + params: dict[str, Any] = { + 'model': self.model_name, + 'messages': self._to_xai_messages(request.messages), + 'max_tokens': int(max_tokens), + } + + if temperature is not None: + params['temperature'] = temperature + if top_p is not None: + params['top_p'] = top_p + if stop: + params['stop'] = stop + if frequency_penalty is not None: + params['frequency_penalty'] = frequency_penalty + if presence_penalty is not None: + params['presence_penalty'] = presence_penalty + if web_search_options is not None: + params['web_search_options'] = web_search_options + if deferred is not None: + params['deferred'] = deferred + if reasoning_effort is not None: + params['reasoning_effort'] = reasoning_effort + + if request.tools: + params['tools'] = [ + chat_pb2.Tool( + function=chat_pb2.Function( + name=t.name, + description=t.description or '', + parameters=json.dumps(to_json_schema(t.input_schema)), + ), + ) + for t in request.tools + ] + + return params + + async def _generate_streaming( + self, params: dict[str, Any], request: GenerateRequest, ctx: ActionRunContext + ) -> GenerateResponse: + def _sync_stream(): + accumulated_content = [] + final_response = None + + chat = self.client.chat.create(**params) + for response, chunk in chat.stream(): + final_response = response + + if chunk.content: + ctx.send_chunk( + GenerateResponseChunk( + role=Role.MODEL, + index=0, + content=[TextPart(text=chunk.content)], + ) + ) + accumulated_content.append(TextPart(text=chunk.content)) + + for choice in chunk.choices: + if choice.tool_calls: + for tool_call in choice.tool_calls: + if tool_call.function: + tool_input = tool_call.function.arguments + if isinstance(tool_input, str): + try: + tool_input = json.loads(tool_input) + except (json.JSONDecodeError, TypeError): + pass + + accumulated_content.append( + ToolRequestPart( + tool_request={ + 'ref': tool_call.id, + 'name': tool_call.function.name, + 'input': tool_input, + } + ) + ) + + response_message = Message(role=Role.MODEL, content=accumulated_content) + basic_usage = get_basic_usage_stats(input_=request.messages, response=response_message) + + finish_reason = ( + FINISH_REASON_MAP.get(final_response.finish_reason, 'unknown') if final_response else 'unknown' + ) + + return GenerateResponse( + message=response_message, + usage=GenerationUsage( + input_tokens=final_response.usage.prompt_tokens if final_response else 0, + output_tokens=final_response.usage.completion_tokens if final_response else 0, + total_tokens=final_response.usage.total_tokens if final_response else 0, + input_characters=basic_usage.input_characters, + output_characters=basic_usage.output_characters, + input_images=basic_usage.input_images, + output_images=basic_usage.output_images, + ), + finish_reason=finish_reason, + ) + + return await asyncio.to_thread(_sync_stream) + + def _to_xai_messages(self, messages: list[Message]) -> list[chat_pb2.Message]: + result = [] + + for msg in messages: + role = ROLE_MAP.get(msg.role, chat_pb2.MessageRole.ROLE_USER) + content = [] + tool_calls = [] + + for part in msg.content: + actual_part = part.root if isinstance(part, Part) else part + + if isinstance(actual_part, TextPart): + content.append(chat_pb2.Content(text=actual_part.text)) + elif isinstance(actual_part, MediaPart): + if not actual_part.media.url: + raise ValueError('xAI models require a URL for media parts.') + content.append(chat_pb2.Content(image_url=chat_pb2.ImageURL(url=actual_part.media.url))) + elif isinstance(actual_part, ToolRequestPart): + tool_calls.append( + chat_pb2.ToolCall( + id=actual_part.tool_request.ref, + type=chat_pb2.ToolCallType.FUNCTION, + function=chat_pb2.Function( + name=actual_part.tool_request.name, + arguments=actual_part.tool_request.input, + ), + ) + ) + elif isinstance(actual_part, ToolResponsePart): + result.append( + chat_pb2.Message( + role=chat_pb2.MessageRole.ROLE_TOOL, + tool_call_id=actual_part.tool_response.ref, + content=[chat_pb2.Content(text=str(actual_part.tool_response.output))], + ) + ) + continue + + pb_message = chat_pb2.Message(role=role, content=content) + if tool_calls: + pb_message.tool_calls.extend(tool_calls) + + result.append(pb_message) + + return result + + def _to_genkit_content(self, response) -> list[Part]: + content = [] + + if response.content: + content.append(TextPart(text=response.content)) + + if response.tool_calls: + for tool_call in response.tool_calls: + tool_input = tool_call.function.arguments + if isinstance(tool_input, str): + try: + tool_input = json.loads(tool_input) + except (json.JSONDecodeError, TypeError): + pass + + content.append( + ToolRequestPart( + tool_request={ + 'ref': tool_call.id, + 'name': tool_call.function.name, + 'input': tool_input, + } + ) + ) + + return content diff --git a/py/plugins/xai/src/genkit/plugins/xai/plugin.py b/py/plugins/xai/src/genkit/plugins/xai/plugin.py new file mode 100644 index 0000000000..046736d47d --- /dev/null +++ b/py/plugins/xai/src/genkit/plugins/xai/plugin.py @@ -0,0 +1,85 @@ +# 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 + +"""xAI plugin for Genkit.""" + +import os + +from xai_sdk import Client as XAIClient + +from genkit.ai import GenkitRegistry, Plugin +from genkit.core.error import GenkitError +from genkit.core.registry import ActionKind +from genkit.plugins.xai.model_info import SUPPORTED_XAI_MODELS, get_model_info +from genkit.plugins.xai.models import XAIModel +from genkit.types import GenerationCommonConfig + +__all__ = ['XAI', 'xai_name'] + +XAI_PLUGIN_NAME = 'xai' + + +def xai_name(name: str) -> str: + return f'{XAI_PLUGIN_NAME}/{name}' + + +class XAI(Plugin): + """xAI plugin for Genkit.""" + + name = XAI_PLUGIN_NAME + + def __init__( + self, + api_key: str | None = None, + models: list[str] | None = None, + **xai_params: str, + ) -> None: + api_key = api_key or os.getenv('XAI_API_KEY') + + if not api_key: + raise GenkitError(message='Please provide api_key or set XAI_API_KEY environment variable.') + + self.models = models or list(SUPPORTED_XAI_MODELS.keys()) + self._xai_params = xai_params + self._xai_client = XAIClient(api_key=api_key, **xai_params) + + def initialize(self, ai: GenkitRegistry) -> None: + for model_name in self.models: + self._define_model(ai, model_name) + + def resolve_action( + self, + ai: GenkitRegistry, + kind: ActionKind, + name: str, + ) -> None: + if kind == ActionKind.MODEL: + self._resolve_model(ai=ai, name=name) + + def _resolve_model(self, ai: GenkitRegistry, name: str) -> None: + clean_name = name.replace(f'{XAI_PLUGIN_NAME}/', '') if name.startswith(XAI_PLUGIN_NAME) else name + self._define_model(ai, clean_name) + + def _define_model(self, ai: GenkitRegistry, model_name: str) -> None: + model = XAIModel(model_name=model_name, client=self._xai_client) + model_info = get_model_info(model_name) + + ai.define_model( + name=xai_name(model_name), + fn=model.generate, + config_schema=GenerationCommonConfig, + metadata={'model': {'supports': model_info.supports.model_dump()}}, + ) diff --git a/py/plugins/xai/tests/test_xai_models.py b/py/plugins/xai/tests/test_xai_models.py new file mode 100644 index 0000000000..fa985a429d --- /dev/null +++ b/py/plugins/xai/tests/test_xai_models.py @@ -0,0 +1,352 @@ +# 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 + +"""Tests for xAI models.""" + +import asyncio +from unittest.mock import MagicMock + +import pytest + +from genkit.plugins.xai.models import XAIModel +from genkit.types import ( + GenerateRequest, + GenerateResponseChunk, + GenerationCommonConfig, + Message, + Part, + Role, + TextPart, + ToolDefinition, + ToolRequestPart, +) + + +def _create_sample_request() -> GenerateRequest: + """Create a sample generation request for testing.""" + return GenerateRequest( + messages=[ + Message( + role=Role.USER, + content=[TextPart(text='Hello, how are you?')], + ) + ], + config=GenerationCommonConfig(), + tools=[ + ToolDefinition( + name='get_weather', + description='Get weather for a location', + input_schema={ + 'type': 'object', + 'properties': {'location': {'type': 'string', 'description': 'Location name'}}, + 'required': ['location'], + }, + ) + ], + ) + + +@pytest.mark.asyncio +async def test_generate_basic(): + """Test basic generation.""" + sample_request = _create_sample_request() + + mock_response = MagicMock() + mock_response.content = "Hello! I'm doing well." + mock_response.finish_reason = 'STOP' + mock_response.usage = MagicMock( + prompt_tokens=10, + completion_tokens=15, + total_tokens=25, + ) + mock_response.tool_calls = None + + mock_chat = MagicMock() + mock_chat.sample = MagicMock(return_value=mock_response) + + mock_client = MagicMock() + mock_client.chat = MagicMock() + mock_client.chat.create = MagicMock(return_value=mock_chat) + + model = XAIModel(model_name='grok-3', client=mock_client) + response = await model.generate(sample_request) + + assert len(response.message.content) == 1 + part = response.message.content[0] + actual_part = part.root if isinstance(part, Part) else part + assert isinstance(actual_part, TextPart) + assert actual_part.text == "Hello! I'm doing well." + assert response.usage.input_tokens == 10 + assert response.usage.output_tokens == 15 + assert response.finish_reason == 'stop' + + +@pytest.mark.asyncio +async def test_generate_with_config(): + mock_response = MagicMock() + mock_response.content = 'Response' + mock_response.finish_reason = 'STOP' + mock_response.usage = MagicMock( + prompt_tokens=5, + completion_tokens=5, + total_tokens=10, + ) + mock_response.tool_calls = None + + mock_chat = MagicMock() + mock_chat.sample = MagicMock(return_value=mock_response) + + mock_client = MagicMock() + mock_client.chat = MagicMock() + mock_client.chat.create = MagicMock(return_value=mock_chat) + + model = XAIModel(model_name='grok-3', client=mock_client) + + request = GenerateRequest( + messages=[Message(role=Role.USER, content=[TextPart(text='Test')])], + config=GenerationCommonConfig( + temperature=0.7, + max_output_tokens=100, + top_p=0.9, + ), + ) + + await model.generate(request) + + call_args = mock_client.chat.create.call_args + assert call_args.kwargs['temperature'] == 0.7 + assert call_args.kwargs['max_tokens'] == 100 + assert call_args.kwargs['top_p'] == 0.9 + + +def test_to_xai_messages(): + mock_client = MagicMock() + model = XAIModel(model_name='grok-3', client=mock_client) + + messages = [ + Message(role=Role.USER, content=[TextPart(text='Hello')]), + Message(role=Role.MODEL, content=[TextPart(text='Hi there')]), + ] + + xai_messages = model._to_xai_messages(messages) + assert len(xai_messages) == 2 + + +def test_to_genkit_content(): + mock_client = MagicMock() + model = XAIModel(model_name='grok-3', client=mock_client) + + mock_response = MagicMock() + mock_response.content = 'Test response' + mock_response.tool_calls = None + + content = model._to_genkit_content(mock_response) + assert len(content) == 1 + part = content[0] + actual_part = part.root if isinstance(part, Part) else part + assert isinstance(actual_part, TextPart) + assert actual_part.text == 'Test response' + + +@pytest.mark.asyncio +async def test_streaming_generation(): + sample_request = _create_sample_request() + + mock_chunk1 = MagicMock() + mock_chunk1.content = 'Hello' + mock_chunk1.choices = [] + + mock_chunk2 = MagicMock() + mock_chunk2.content = ' world' + mock_chunk2.choices = [] + + mock_chunk3 = MagicMock() + mock_chunk3.content = '!' + mock_chunk3.choices = [] + + mock_response = MagicMock() + mock_response.finish_reason = 'STOP' + mock_response.usage = MagicMock( + prompt_tokens=10, + completion_tokens=20, + total_tokens=30, + ) + + def mock_stream(): + yield mock_response, mock_chunk1 + yield mock_response, mock_chunk2 + yield mock_response, mock_chunk3 + + mock_chat = MagicMock() + mock_chat.stream = MagicMock(return_value=mock_stream()) + + mock_client = MagicMock() + mock_client.chat = MagicMock() + mock_client.chat.create = MagicMock(return_value=mock_chat) + + model = XAIModel(model_name='grok-3', client=mock_client) + + ctx = MagicMock() + ctx.is_streaming = True + collected_chunks = [] + + def send_chunk(chunk: GenerateResponseChunk): + collected_chunks.append(chunk) + + ctx.send_chunk = send_chunk + + response = await model.generate(sample_request, ctx) + + assert len(collected_chunks) == 3 + assert response.usage.input_tokens == 10 + assert response.usage.output_tokens == 20 + assert response.finish_reason == 'stop' + + accumulated_text = '' + for part in response.message.content: + actual_part = part.root if isinstance(part, Part) else part + if isinstance(actual_part, TextPart): + accumulated_text += actual_part.text + + assert accumulated_text == 'Hello world!' + + +@pytest.mark.asyncio +async def test_generate_with_tools(): + sample_request = _create_sample_request() + + mock_tool_call = MagicMock() + mock_tool_call.id = 'tool_123' + mock_tool_call.function = MagicMock() + mock_tool_call.function.name = 'get_weather' + mock_tool_call.function.arguments = '{"location": "Paris"}' + + mock_response = MagicMock() + mock_response.content = None + mock_response.finish_reason = 'TOOL_CALLS' + mock_response.usage = MagicMock( + prompt_tokens=20, + completion_tokens=10, + total_tokens=30, + ) + mock_response.tool_calls = [mock_tool_call] + + mock_chat = MagicMock() + mock_chat.sample = MagicMock(return_value=mock_response) + + mock_client = MagicMock() + mock_client.chat = MagicMock() + mock_client.chat.create = MagicMock(return_value=mock_chat) + + model = XAIModel(model_name='grok-3', client=mock_client) + response = await model.generate(sample_request) + + assert len(response.message.content) == 1 + part = response.message.content[0] + actual_part = part.root if isinstance(part, Part) else part + assert isinstance(actual_part, ToolRequestPart) + assert actual_part.tool_request.name == 'get_weather' + assert actual_part.tool_request.ref == 'tool_123' + + +@pytest.mark.asyncio +async def test_build_params_basic(): + mock_client = MagicMock() + model = XAIModel(model_name='grok-3', client=mock_client) + + request = GenerateRequest( + messages=[Message(role=Role.USER, content=[TextPart(text='Test')])], + config=GenerationCommonConfig(), + ) + + params = model._build_params(request) + + assert params['model'] == 'grok-3' + assert 'messages' in params + assert params['max_tokens'] == 4096 + + +@pytest.mark.asyncio +async def test_build_params_with_config(): + mock_client = MagicMock() + model = XAIModel(model_name='grok-3', client=mock_client) + + request = GenerateRequest( + messages=[Message(role=Role.USER, content=[TextPart(text='Test')])], + config={ + 'temperature': 0.5, + 'max_output_tokens': 200, + 'top_p': 0.8, + }, + ) + + params = model._build_params(request) + + assert params['temperature'] == 0.5 + assert params['max_tokens'] == 200 + assert params['top_p'] == 0.8 + + +@pytest.mark.asyncio +async def test_build_params_with_xai_specific_config(): + mock_client = MagicMock() + model = XAIModel(model_name='grok-3', client=mock_client) + + request = GenerateRequest( + messages=[Message(role=Role.USER, content=[TextPart(text='Test')])], + config={ + 'temperature': 0.7, + 'max_output_tokens': 300, + 'deferred': True, + 'reasoning_effort': 'high', + 'web_search_options': {'enabled': True}, + }, + ) + + params = model._build_params(request) + + assert params['temperature'] == 0.7 + assert params['max_tokens'] == 300 + assert params['deferred'] is True + assert params['reasoning_effort'] == 'high' + assert params['web_search_options'] == {'enabled': True} + + +@pytest.mark.asyncio +async def test_to_genkit_content_parses_json_arguments(): + mock_client = MagicMock() + model = XAIModel(model_name='grok-3', client=mock_client) + + mock_tool_call = MagicMock() + mock_tool_call.id = 'call_123' + mock_tool_call.function = MagicMock() + mock_tool_call.function.name = 'get_weather' + mock_tool_call.function.arguments = '{"location": "Paris", "unit": "celsius"}' + + mock_response = MagicMock() + mock_response.content = 'Some response' + mock_response.tool_calls = [mock_tool_call] + + content = model._to_genkit_content(mock_response) + + assert len(content) == 2 + assert isinstance(content[0], TextPart) + assert content[0].text == 'Some response' + assert isinstance(content[1], ToolRequestPart) + assert content[1].tool_request.name == 'get_weather' + assert isinstance(content[1].tool_request.input, dict) + assert content[1].tool_request.input['location'] == 'Paris' + assert content[1].tool_request.input['unit'] == 'celsius' diff --git a/py/plugins/xai/tests/test_xai_plugin.py b/py/plugins/xai/tests/test_xai_plugin.py new file mode 100644 index 0000000000..43cb615709 --- /dev/null +++ b/py/plugins/xai/tests/test_xai_plugin.py @@ -0,0 +1,87 @@ +# 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 + +"""Tests for xAI plugin.""" + +from unittest.mock import MagicMock, patch + +from genkit.core.error import GenkitError +from genkit.core.registry import ActionKind +from genkit.plugins.xai import XAI, xai_name +from genkit.plugins.xai.model_info import SUPPORTED_XAI_MODELS, get_model_info + + +def test_xai_name(): + assert xai_name('grok-3') == 'xai/grok-3' + + +def test_init_with_api_key(): + plugin = XAI(api_key='test-key') + assert plugin._xai_client is not None + assert plugin.models == list(SUPPORTED_XAI_MODELS.keys()) + + +def test_init_without_api_key_raises(): + with patch.dict('os.environ', {}, clear=True): + try: + XAI() + assert False, 'Expected GenkitError' + except GenkitError: + pass + + +def test_init_with_env_var(): + with patch.dict('os.environ', {'XAI_API_KEY': 'env-key'}): + plugin = XAI() + assert plugin._xai_client is not None + + +def test_custom_models(): + plugin = XAI(api_key='test-key', models=['grok-3', 'grok-3-mini']) + assert plugin.models == ['grok-3', 'grok-3-mini'] + + +def test_plugin_initialize(): + registry = MagicMock() + plugin = XAI(api_key='test-key') + plugin.initialize(registry) + assert registry.define_model.call_count == len(SUPPORTED_XAI_MODELS) + + +def test_resolve_action_model(): + registry = MagicMock() + plugin = XAI(api_key='test-key') + plugin.resolve_action(registry, ActionKind.MODEL, 'xai/grok-3') + registry.define_model.assert_called_once() + + +def test_supported_models(): + assert len(SUPPORTED_XAI_MODELS) >= 4 + for name, info in SUPPORTED_XAI_MODELS.items(): + assert info.label.startswith('xAI - ') + assert len(info.versions) > 0 + assert info.supports.tools + + +def test_get_model_info_known(): + info = get_model_info('grok-3') + assert 'grok-3' in info.versions[0] + assert info.supports.multiturn + + +def test_get_model_info_unknown(): + info = get_model_info('unknown-model') + assert 'unknown-model' in info.label diff --git a/py/pyproject.toml b/py/pyproject.toml index 544977c591..f18cecdeaa 100644 --- a/py/pyproject.toml +++ b/py/pyproject.toml @@ -28,6 +28,7 @@ dependencies = [ "genkit-plugin-google-genai", "genkit-plugin-ollama", "genkit-plugin-vertex-ai", + "genkit-plugin-xai", "liccheck>=0.9.2", "strenum>=0.4.15; python_version < '3.11'", ] @@ -115,6 +116,7 @@ genkit-plugin-vertex-ai = { workspace = true } google-genai-hello = { workspace = true } google-genai-image = { workspace = true } prompt-demo = { workspace = true } +genkit-plugin-xai = { workspace = true } [tool.uv.workspace] members = ["packages/*", "plugins/*", "samples/*"] @@ -275,6 +277,8 @@ unauthorized_licenses = [ ] [tool.liccheck.authorized_packages] -certifi = "2025.4.26" # TODO: Verify. -dependencies = true -ollama = "0.5.1" # MIT "https://github.com/ollama/ollama-python/blob/main/LICENSE" +aiohttp = "3.13.2" # Apache-2.0 AND MIT (transitive dep of xai-sdk) +aiohappyeyeballs = "2.6.1" # Python Software Foundation (transitive dep of xai-sdk) +certifi = "2025.4.26" # TODO: Verify. +dependencies = true +ollama = "0.5.1" # MIT "https://github.com/ollama/ollama-python/blob/main/LICENSE" diff --git a/py/samples/evaluator-demo/src/eval_demo.py b/py/samples/evaluator-demo/src/eval_demo.py index cbcec2556e..9fe4bd9445 100644 --- a/py/samples/evaluator-demo/src/eval_demo.py +++ b/py/samples/evaluator-demo/src/eval_demo.py @@ -54,7 +54,6 @@ async def substring_match(datapoint: BaseDataPoint, options: Any | None): ) - # Define a flow that programmatically runs the evaluation @ai.flow() async def run_eval_demo(dataset_input: List[BaseDataPoint] | None = None): diff --git a/py/samples/xai-hello/README.md b/py/samples/xai-hello/README.md new file mode 100644 index 0000000000..259679588d --- /dev/null +++ b/py/samples/xai-hello/README.md @@ -0,0 +1,23 @@ +# xAI Hello Sample + +Simple sample demonstrating the xAI (Grok) plugin for Genkit. + +## Setup + +```bash +export XAI_API_KEY=your_api_key_here +``` + +## Run + +```bash +cd py/samples/xai-hello +uv run python src/xai_hello.py +``` + +## Features + +- Simple text generation +- Streaming generation +- Custom configuration (temperature, max_output_tokens) +- xAI-specific parameters (reasoning_effort) diff --git a/py/samples/xai-hello/pyproject.toml b/py/samples/xai-hello/pyproject.toml new file mode 100644 index 0000000000..65b7aff42b --- /dev/null +++ b/py/samples/xai-hello/pyproject.toml @@ -0,0 +1,37 @@ +# 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 + +[project] +dependencies = [ + "genkit", + "genkit-plugin-xai", + "pydantic>=2.0.0", + "structlog>=24.0.0", +] +description = "xAI Hello Sample" +name = "xai-hello" +requires-python = ">=3.10" +version = "0.1.0" + +[tool.uv.sources] +genkit-plugin-xai = { workspace = true } + +[build-system] +build-backend = "hatchling.build" +requires = ["hatchling"] + +[tool.hatch.build.targets.wheel] +packages = ["src"] diff --git a/py/samples/xai-hello/src/xai_hello.py b/py/samples/xai-hello/src/xai_hello.py new file mode 100644 index 0000000000..e8f51919fd --- /dev/null +++ b/py/samples/xai-hello/src/xai_hello.py @@ -0,0 +1,159 @@ +# 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 + +"""xAI Genkit sample. + +Demonstrates: +- Plugin initialization +- Simple text generation +- Streaming generation +- Tool usage +- Generation with configuration +""" + +import structlog +from pydantic import BaseModel, Field + +from genkit.ai import Genkit +from genkit.plugins.xai import XAI, xai_name +from genkit.types import ActionRunContext + +logger = structlog.get_logger(__name__) + +ai = Genkit( + plugins=[XAI()], + model=xai_name('grok-3'), +) + + +class WeatherInput(BaseModel): + location: str = Field(description='City or location name') + unit: str = Field(default='celsius', description='Temperature unit: celsius or fahrenheit') + + +class CalculatorInput(BaseModel): + operation: str = Field(description='Math operation: add, subtract, multiply, divide') + a: float = Field(description='First number') + b: float = Field(description='Second number') + + +@ai.tool() +def get_weather(input: WeatherInput) -> dict: + weather_data = { + 'New York': {'temp': 15, 'condition': 'cloudy', 'humidity': 65}, + 'London': {'temp': 12, 'condition': 'rainy', 'humidity': 78}, + 'Tokyo': {'temp': 20, 'condition': 'sunny', 'humidity': 55}, + 'Paris': {'temp': 14, 'condition': 'partly cloudy', 'humidity': 60}, + } + + location = input.location.title() + data = weather_data.get(location, {'temp': 18, 'condition': 'unknown', 'humidity': 50}) + + if input.unit == 'fahrenheit' and 'temp' in data: + data['temp'] = round((data['temp'] * 9 / 5) + 32, 1) + data['unit'] = 'F' + else: + data['unit'] = 'C' + + data['location'] = location + return data + + +@ai.tool() +def calculate(input: CalculatorInput) -> dict: + operations = { + 'add': lambda a, b: a + b, + 'subtract': lambda a, b: a - b, + 'multiply': lambda a, b: a * b, + 'divide': lambda a, b: a / b if b != 0 else None, + } + + operation = input.operation.lower() + if operation not in operations: + return {'error': f'Unknown operation: {operation}'} + + result = operations[operation](input.a, input.b) + return { + 'operation': operation, + 'a': input.a, + 'b': input.b, + 'result': result, + } + + +@ai.flow() +async def say_hi(name: str) -> str: + response = await ai.generate(prompt=f'Say hello to {name}!') + return response.text + + +@ai.flow() +async def say_hi_stream(name: str, ctx: ActionRunContext) -> str: + response = await ai.generate( + prompt=f'Tell me a short story about {name}', + on_chunk=ctx.send_chunk, + ) + return response.text + + +@ai.flow() +async def say_hi_with_config(name: str) -> str: + response = await ai.generate( + prompt=f'Write a creative greeting for {name}', + config={'temperature': 1.0, 'max_output_tokens': 200}, + ) + return response.text + + +@ai.flow() +async def weather_flow(location: str) -> str: + weather_data = get_weather(WeatherInput(location=location)) + return ( + f'Weather in {location}: {weather_data.get("temp")}°{weather_data.get("unit")}, {weather_data.get("condition")}' + ) + + +@ai.flow() +async def calculator_flow(expression: str) -> str: + parts = expression.split('_') + if len(parts) < 3: + return 'Invalid expression format. Use: operation_a_b (e.g., add_5_3)' + + operation, a, b = parts[0], float(parts[1]), float(parts[2]) + result = calculate(CalculatorInput(operation=operation, a=a, b=b)) + if 'error' in result: + return f'Error: {result["error"]}' + return f'{operation.title()}({a}, {b}) = {result.get("result")}' + + +if __name__ == '__main__': + import asyncio + + async def main(): + result = await say_hi('Alice') + logger.info('say_hi', result=result) + + result = await say_hi_stream('Bob') + logger.info('say_hi_stream', result=result[:150]) + + result = await say_hi_with_config('Charlie') + logger.info('say_hi_with_config', result=result) + + result = await weather_flow('New York') + logger.info('weather_flow', result=result) + + result = await calculator_flow('add_5_3') + logger.info('calculator_flow', result=result) diff --git a/py/uv.lock b/py/uv.lock index e2da3fbba3..998ecac2b5 100644 --- a/py/uv.lock +++ b/py/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 2 +revision = 3 requires-python = 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