diff --git a/.github/workflows/publish.yaml b/.github/workflows/publish.yaml
index 0cdc835..deb2b27 100644
--- a/.github/workflows/publish.yaml
+++ b/.github/workflows/publish.yaml
@@ -43,6 +43,7 @@ jobs:
           OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
           ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
           OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
+          GROK_API_KEY: ${{ secrets.GROK_API_KEY }}
 
   publish:
     runs-on: ubuntu-latest
diff --git a/.vscode/settings.json b/.vscode/settings.json
index 880ae79..113a45a 100644
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -7,5 +7,8 @@
     "editor.tabSize": 4,
     "editor.insertSpaces": true,
     "files.trimTrailingWhitespace": true,
-    "files.insertFinalNewline": true
+    "files.insertFinalNewline": true,
+    "python.linting.flake8Args": [
+        "--config=pyproject.toml"
+    ]
 }
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..396fb79
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,4507 @@
+# This file is automatically @generated by Poetry 2.0.1 and should not be changed by hand.
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.6.1"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+    {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"},
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.10.5"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
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+    {file = "yarl-1.19.0-cp39-cp39-win_amd64.whl", hash = "sha256:5864f539ce86b935053bfa18205fa08ce38e9a40ea4d51b19ce923345f0ed5db"},
+    {file = "yarl-1.19.0-py3-none-any.whl", hash = "sha256:a727101eb27f66727576630d02985d8a065d09cd0b5fcbe38a5793f71b2a97ef"},
+    {file = "yarl-1.19.0.tar.gz", hash = "sha256:01e02bb80ae0dbed44273c304095295106e1d9470460e773268a27d11e594892"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+propcache = ">=0.2.1"
+
+[extras]
+dev = ["jupyter"]
+test = ["pytest", "pytest-asyncio"]
+tools = ["tweepy"]
+
+[metadata]
+lock-version = "2.1"
+python-versions = "^3.10"
+content-hash = "81bafad15712c2b2323937d0e94622960494ccc2dde5e20ff091cb78da992a75"
diff --git a/pyproject.toml b/pyproject.toml
index 0710224..4b1b0b3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "emp-agents"
-version = "0.3.0"
+version = "0.3.1"
 description = "A Python library for building low-code, capable and extensible autonomous agent systems."
 readme = "README.md"
 requires-python = ">=3.10"
@@ -76,3 +76,12 @@ profile = "black"
 line_length = 88
 known_third_party = ["pytest", "black", "isort"]
 default_section = "THIRDPARTY"
+
+[tool.poetry.group.dev.dependencies]
+flake8-pyproject = "^1.2.3"
+pytest = "^7.0.0"
+pytest-asyncio = "^0.23.0"
+
+[tool.flake8]
+ignore = ["W503"]
+max-line-length = 160
diff --git a/src/emp_agents/__init__.py b/src/emp_agents/__init__.py
index 730162a..1b8f557 100644
--- a/src/emp_agents/__init__.py
+++ b/src/emp_agents/__init__.py
@@ -10,7 +10,7 @@
     SystemMessage,
     UserMessage,
 )
-from .providers import AnthropicProvider, DeepSeekProvider, OpenAIProvider
+from .providers import AnthropicProvider, DeepSeekProvider, GrokProvider, OpenAIProvider
 from .types import Role
 
 __all__ = [
@@ -19,6 +19,7 @@
     "AssistantMessage",
     "DeepSeekProvider",
     "GenericTool",
+    "GrokProvider",
     "Message",
     "Middleware",
     "OpenAIProvider",
diff --git a/src/emp_agents/models/shared/tools.py b/src/emp_agents/models/shared/tools.py
index 0a89de9..4899b1b 100644
--- a/src/emp_agents/models/shared/tools.py
+++ b/src/emp_agents/models/shared/tools.py
@@ -136,6 +136,30 @@ def to_anthropic(self):
             ),
         )
 
+    def to_grok(self):
+        from emp_agents.providers.openai.tool import (
+            Function,
+            Parameters,
+            Property,
+            Tool,
+        )
+
+        return Tool(
+            type="function",
+            function=Function(
+                description=self.description,
+                name=self.name,
+                parameters=Parameters(
+                    properties={
+                        key: Property(**param.model_dump(exclude_none=True))
+                        for key, param in self.parameters.items()
+                    },
+                    required=self.required,
+                ),
+            ),
+            strict=True,
+        )
+
     def __repr__(self):
         description = self.description.strip().replace("\n", " ")[:100]
         if len(description) >= 50:
diff --git a/src/emp_agents/providers/__init__.py b/src/emp_agents/providers/__init__.py
index 892e592..697d7eb 100644
--- a/src/emp_agents/providers/__init__.py
+++ b/src/emp_agents/providers/__init__.py
@@ -1,15 +1,20 @@
 from .anthropic import AnthropicModelType, AnthropicProvider
 from .deepseek import DeepSeekModelType, DeepSeekProvider
+from .grok import GrokModelType, GrokProvider
 from .openai import OpenAIModelType, OpenAIProvider
 from .openrouter import OpenRouterModelType, OpenRouterProvider
+from .standard_request import StandardRequest
 
 __all__ = [
     "AnthropicProvider",
     "DeepSeekProvider",
+    "GrokProvider",
     "OpenAIProvider",
     "AnthropicModelType",
     "DeepSeekModelType",
+    "GrokModelType",
     "OpenAIModelType",
     "OpenRouterProvider",
     "OpenRouterModelType",
+    "StandardRequest",
 ]
diff --git a/src/emp_agents/providers/anthropic/__init__.py b/src/emp_agents/providers/anthropic/__init__.py
index ad8cd3a..92c7564 100644
--- a/src/emp_agents/providers/anthropic/__init__.py
+++ b/src/emp_agents/providers/anthropic/__init__.py
@@ -59,7 +59,7 @@ def _from_request(self, request: Request):
             message for message in request.messages if message.role == Role.system
         ]
         result["system"] = result.get("system", "") + str(
-            "\n".join([m.content for m in system_messages])
+            "\n".join([m.content for m in system_messages if m.content is not None])
         )
         result["messages"] = [m.model_dump(exclude_none=True) for m in messages]
 
diff --git a/src/emp_agents/providers/anthropic/response.py b/src/emp_agents/providers/anthropic/response.py
index c863c89..c6e0eee 100644
--- a/src/emp_agents/providers/anthropic/response.py
+++ b/src/emp_agents/providers/anthropic/response.py
@@ -3,7 +3,8 @@
 
 from pydantic import BaseModel
 
-from emp_agents.models.shared import AssistantMessage, ToolCall
+from emp_agents.models.provider import ResponseT
+from emp_agents.models.shared import AssistantMessage, Message, ToolCall
 from emp_agents.types import Role
 
 from .types import AnthropicModelType as ModelType
@@ -32,10 +33,10 @@ def to_message(self) -> AssistantMessage:
 
 
 class StopReason(StrEnum):
-    tool_use: str = "tool_use"
-    end_turn: str = "end_turn"
-    max_tokens: str = "max_tokens"
-    stop_sequence: str = "stop_sequence"
+    tool_use = "tool_use"
+    end_turn = "end_turn"
+    max_tokens = "max_tokens"
+    stop_sequence = "stop_sequence"
 
 
 class Usage(BaseModel):
@@ -43,7 +44,7 @@ class Usage(BaseModel):
     output_tokens: int
 
 
-class Response(BaseModel):
+class Response(ResponseT):
     id: str
     content: list[Content]
     model: ModelType | str
@@ -62,5 +63,5 @@ def tool_calls(self):
         return [content for content in self.content if content.type == "tool_use"]
 
     @property
-    def messages(self) -> list[AssistantMessage]:
+    def messages(self) -> list[Message]:
         return [content.to_message() for content in self.content]
diff --git a/src/emp_agents/providers/grok/__init__.py b/src/emp_agents/providers/grok/__init__.py
new file mode 100644
index 0000000..0bb73c8
--- /dev/null
+++ b/src/emp_agents/providers/grok/__init__.py
@@ -0,0 +1,28 @@
+import os
+from typing import ClassVar
+
+from pydantic import Field
+
+from emp_agents.providers.openai import OpenAIProviderBase
+from emp_agents.providers.openai.response import Response
+
+from .types import GrokModelType
+
+
+class GrokProvider(OpenAIProviderBase[GrokModelType]):
+    """
+    Provider for Grok API, which follows the OpenAI API format.
+    This inherits from OpenAIProvider since the APIs are compatible.
+    """
+
+    URL: ClassVar[str] = "https://api.x.ai/v1/chat/completions"
+
+    api_key: str = Field(default_factory=lambda: os.environ["GROK_API_KEY"])
+    default_model: GrokModelType = Field(default=GrokModelType.grok_2)
+
+
+__all__ = [
+    "GrokModelType",
+    "GrokProvider",
+    "Response",
+]
diff --git a/src/emp_agents/providers/grok/request.py b/src/emp_agents/providers/grok/request.py
new file mode 100644
index 0000000..0cbcec3
--- /dev/null
+++ b/src/emp_agents/providers/grok/request.py
@@ -0,0 +1,16 @@
+from typing import Optional
+
+from pydantic import Field
+
+from emp_agents.models.shared.tools import GenericTool
+from emp_agents.providers.standard_request import StandardRequest
+
+from .types import GrokModelType
+
+
+class Request(StandardRequest[GrokModelType]):
+    """
+    Request model for Grok API, which follows the OpenAI API format.
+    """
+
+    tools: Optional[list[GenericTool]] = Field(default=None)
diff --git a/src/emp_agents/providers/grok/response.py b/src/emp_agents/providers/grok/response.py
new file mode 100644
index 0000000..d96c232
--- /dev/null
+++ b/src/emp_agents/providers/grok/response.py
@@ -0,0 +1,7 @@
+from emp_agents.providers.openai.response import Response as OpenAIResponse
+
+from .types import GrokModelType
+
+
+class Response(OpenAIResponse):
+    model: GrokModelType | str
diff --git a/src/emp_agents/providers/grok/types.py b/src/emp_agents/providers/grok/types.py
new file mode 100644
index 0000000..b8a2cd5
--- /dev/null
+++ b/src/emp_agents/providers/grok/types.py
@@ -0,0 +1,8 @@
+from enum import StrEnum
+
+
+class GrokModelType(StrEnum):
+    grok_1 = "grok-1"
+    grok_1_5 = "grok-1.5"
+    grok_2 = "grok-2"
+    grok_3 = "grok-3-latest"
diff --git a/src/emp_agents/providers/openai/__init__.py b/src/emp_agents/providers/openai/__init__.py
index 0c130ed..f7db6ae 100644
--- a/src/emp_agents/providers/openai/__init__.py
+++ b/src/emp_agents/providers/openai/__init__.py
@@ -1,22 +1,25 @@
 import os
-from typing import Any, ClassVar
+from typing import Any, ClassVar, Generic, TypeVar
 
 import httpx
 from pydantic import Field
 
 from emp_agents.models import GenericTool, Provider, Request, SystemMessage
+from emp_agents.models.shared.message import Message
 
-from .request import Message, Tool
+from .request import Tool
 from .response import Response
 from .tool import Function, Parameters, Property
 from .types import Classification, OpenAIModelType
 
+ModelType = TypeVar("ModelType", bound=str)
 
-class OpenAIProvider(Provider[Response]):
+
+class OpenAIProviderBase(Provider[Response], Generic[ModelType]):
     URL: ClassVar[str] = "https://api.openai.com/v1/chat/completions"
 
     api_key: str = Field(default_factory=lambda: os.environ["OPENAI_API_KEY"])
-    default_model: OpenAIModelType = Field(default=OpenAIModelType.gpt4o_mini)
+    default_model: ModelType
 
     @property
     def headers(self):
@@ -130,6 +133,10 @@ def to_tool_call(self, tool: GenericTool):
         )
 
 
+class OpenAIProvider(OpenAIProviderBase[OpenAIModelType]):
+    default_model: OpenAIModelType = Field(default=OpenAIModelType.gpt4o_mini)
+
+
 __all__ = [
     "Classification",
     "Message",
diff --git a/src/emp_agents/providers/openai/request.py b/src/emp_agents/providers/openai/request.py
index 1dff009..5175916 100644
--- a/src/emp_agents/providers/openai/request.py
+++ b/src/emp_agents/providers/openai/request.py
@@ -1,25 +1,19 @@
-from typing import Annotated, Literal, Optional
+from typing import Annotated, Optional
 
-from pydantic import BaseModel, ConfigDict, Field, PlainSerializer
+from pydantic import Field, PlainSerializer
 
-from emp_agents.models.shared import Message
 from emp_agents.models.shared.tools import GenericTool
+from emp_agents.providers.standard_request import StandardRequest
 
 from .tool import Tool
 from .types import OpenAIModelType
 
 
-class Request(BaseModel):
+class Request(StandardRequest[OpenAIModelType]):
     """
     https://platform.openai.com/docs/api-reference/chat/create
     """
 
-    model_config = ConfigDict(populate_by_name=True)
-
-    model: OpenAIModelType
-    max_tokens: Optional[int] = Field(default=None)
-    temperature: Optional[float] = Field(default=None, ge=0, le=2.0)
-    tool_choice: Literal["none", "required", "auto", None] = Field(default=None)
     tools: Annotated[
         Optional[list[GenericTool]],
         PlainSerializer(
@@ -31,18 +25,3 @@ class Request(BaseModel):
             return_type=Optional[list[Tool]],
         ),
     ] = Field(default=None)
-
-    system: str | None = None
-    messages: list[Message] | None = None  # Anthropic Field
-
-    frequency_penalty: Optional[float] = Field(default=None, ge=-2.0, le=2.0)  # openai
-    presence_penalty: Optional[float] = Field(default=None, ge=-2.0, le=2.0)  # openai
-    num_responses: Optional[int] = Field(
-        default=None, serialization_alias="n"
-    )  # openai
-    top_p: Optional[int] = Field(default=None)  # openai
-
-    def model_dump(self, *, exclude_none=True, by_alias=True, **kwargs):
-        return super().model_dump(
-            exclude_none=exclude_none, by_alias=by_alias, **kwargs
-        )
diff --git a/src/emp_agents/providers/standard_request.py b/src/emp_agents/providers/standard_request.py
new file mode 100644
index 0000000..a1855c1
--- /dev/null
+++ b/src/emp_agents/providers/standard_request.py
@@ -0,0 +1,34 @@
+from typing import Annotated, Generic, Literal, Optional, TypeVar
+
+from pydantic import BaseModel, ConfigDict, Field, PlainSerializer
+
+from emp_agents.models.shared import Message
+from emp_agents.models.shared.tools import GenericTool
+
+ModelType = TypeVar("ModelType")
+
+
+class StandardRequest(BaseModel, Generic[ModelType]):
+    """
+    Generic request model that can be used by all platforms that mimic the OpenAI format.
+    """
+
+    model_config = ConfigDict(populate_by_name=True)
+
+    model: ModelType
+    max_tokens: Optional[int] = Field(default=None)
+    temperature: Optional[float] = Field(default=None, ge=0, le=2.0)
+    tool_choice: Literal["none", "required", "auto", None] = Field(default=None)
+
+    system: str | None = None
+    messages: list[Message] | None = None
+
+    frequency_penalty: Optional[float] = Field(default=None, ge=-2.0, le=2.0)
+    presence_penalty: Optional[float] = Field(default=None, ge=-2.0, le=2.0)
+    num_responses: Optional[int] = Field(default=None, serialization_alias="n")
+    top_p: Optional[int] = Field(default=None)
+
+    def model_dump(self, *, exclude_none=True, by_alias=True, **kwargs):
+        return super().model_dump(
+            exclude_none=exclude_none, by_alias=by_alias, **kwargs
+        )
diff --git a/tests/test_grok.py b/tests/test_grok.py
new file mode 100644
index 0000000..7a00b8f
--- /dev/null
+++ b/tests/test_grok.py
@@ -0,0 +1,106 @@
+import pytest
+
+from emp_agents.agents import AgentBase
+from emp_agents.models import GenericTool, Property, Request, UserMessage
+from emp_agents.providers import GrokModelType, GrokProvider
+
+
+class AgentForTesting(AgentBase):
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+
+
+@pytest.mark.asyncio
+async def test_grok_responds():
+    from emp_agents import AgentBase
+
+    agent = AgentBase(
+        provider=GrokProvider(),
+        model=GrokModelType.grok_3,
+    )
+    response = await agent.answer("what is the weather in san francisco?")
+    assert response is not None
+
+
+@pytest.mark.asyncio
+async def test_grok_provider():
+    agent = AgentForTesting(
+        provider=GrokProvider(
+            api_key="test_api_key",
+            default_model=GrokModelType.grok_1_5,
+        ),
+    )
+    assert agent.provider.default_model == GrokModelType.grok_1_5
+    assert agent.provider.api_key == "test_api_key"
+
+
+def test_grok_provider_init():
+    """Test that GrokProvider initializes correctly"""
+    provider = GrokProvider(
+        api_key="test_api_key",
+        default_model=GrokModelType.grok_1_5,
+    )
+    assert provider.default_model == GrokModelType.grok_1_5
+    assert provider.api_key == "test_api_key"
+    assert provider.URL == "https://api.x.ai/v1/chat/completions"
+
+
+def test_grok_request_formatting():
+    """Test that GrokProvider formats requests correctly"""
+    provider = GrokProvider(api_key="test_api_key")
+
+    request = Request(
+        model=GrokModelType.grok_1_5,
+        messages=[UserMessage(content="Hello, Grok!")],
+    )
+
+    formatted_request = provider._from_request(request)
+
+    assert formatted_request["model"] == "grok-1.5"
+    assert len(formatted_request["messages"]) == 1
+    assert formatted_request["messages"][0]["role"] == "user"
+    assert formatted_request["messages"][0]["content"] == "Hello, Grok!"
+
+
+def test_grok_with_tools():
+    """Test that GrokProvider formats requests with tools correctly"""
+    provider = GrokProvider(api_key="test_api_key")
+
+    weather_tool = GenericTool(
+        name="get_weather",
+        description="Get the current weather in a location",
+        parameters={
+            "location": Property(
+                type="string",
+                description="The city and state, e.g. San Francisco, CA",
+            ),
+            "unit": Property(
+                type="string",
+                description="The unit of temperature, either 'celsius' or 'fahrenheit'",
+                enum=["celsius", "fahrenheit"],
+            ),
+        },
+        required=["location"],
+        func=lambda **kwargs: None,
+    )
+
+    request = Request(
+        model=GrokModelType.grok_1_5,
+        messages=[UserMessage(content="What's the weather in San Francisco?")],
+        tools=[weather_tool],
+        tool_choice="auto",
+    )
+
+    formatted_request = provider._from_request(request)
+
+    assert formatted_request["model"] == "grok-1.5"
+    assert len(formatted_request["messages"]) == 1
+    assert formatted_request["messages"][0]["role"] == "user"
+    assert (
+        formatted_request["messages"][0]["content"]
+        == "What's the weather in San Francisco?"
+    )
+    assert "tools" in formatted_request
+    assert len(formatted_request["tools"]) == 1
+    assert formatted_request["tools"][0]["function"]["name"] == "get_weather"
+    assert formatted_request["tool_choice"] == "auto"
diff --git a/tox.ini b/tox.ini
index b412af1..511e03f 100644
--- a/tox.ini
+++ b/tox.ini
@@ -19,6 +19,7 @@ passenv =
     OPENAI_API_KEY
     ANTHROPIC_API_KEY
     OPENROUTER_API_KEY
+    GROK_API_KEY
 
 [testenv:format]
 skip_install = true