diff --git a/wolf/models.py b/wolf/models.py
new file mode 100644
index 0000000..599c283
--- /dev/null
+++ b/wolf/models.py
@@ -0,0 +1,120 @@
+import requests
+import logging
+import json
+
+class ModelClient:
+    """
+    Base model client for Wolf.
+    """
+    def __init__(self, api_key=None, base_url=None):
+        self.api_key = api_key
+        self.base_url = base_url
+
+    def generate(self, prompt, model_name, system_prompt=None):
+        raise NotImplementedError
+
+class OpenRouterClient(ModelClient):
+    def __init__(self, api_key):
+        super().__init__(api_key, "https://openrouter.ai/api/v1")
+
+    def generate(self, prompt, model_name, system_prompt=None):
+        url = f"{self.base_url}/chat/completions"
+        headers = {
+            "Authorization": f"Bearer {self.api_key}",
+            "Content-Type": "application/json"
+        }
+        messages = []
+        if system_prompt:
+            messages.append({"role": "system", "content": system_prompt})
+        messages.append({"role": "user", "content": prompt})
+        
+        data = {
+            "model": model_name,
+            "messages": messages
+        }
+        response = requests.post(url, headers=headers, json=data)
+        response.raise_for_status()
+        return response.json()["choices"][0]["message"]["content"]
+
+class GroqClient(ModelClient):
+    def __init__(self, api_key):
+        super().__init__(api_key, "https://api.groq.com/openai/v1")
+
+    def generate(self, prompt, model_name, system_prompt=None):
+        url = f"{self.base_url}/chat/completions"
+        headers = {
+            "Authorization": f"Bearer {self.api_key}",
+            "Content-Type": "application/json"
+        }
+        messages = []
+        if system_prompt:
+            messages.append({"role": "system", "content": system_prompt})
+        messages.append({"role": "user", "content": prompt})
+        
+        data = {
+            "model": model_name,
+            "messages": messages
+        }
+        response = requests.post(url, headers=headers, json=data)
+        response.raise_for_status()
+        return response.json()["choices"][0]["message"]["content"]
+
+class OllamaClient(ModelClient):
+    def __init__(self, base_url="http://localhost:11434"):
+        super().__init__(base_url=base_url)
+
+    def generate(self, prompt, model_name, system_prompt=None):
+        url = f"{self.base_url}/api/generate"
+        data = {
+            "model": model_name,
+            "prompt": prompt,
+            "system": system_prompt if system_prompt else "",
+            "stream": False
+        }
+        response = requests.post(url, json=data)
+        response.raise_for_status()
+        return response.json()["response"]
+
+class ModelFactory:
+    @staticmethod
+    def get_client(provider, api_key=None, base_url=None):
+        if provider == "openrouter":
+            return OpenRouterClient(api_key)
+        elif provider == "groq":
+            return GroqClient(api_key)
+        elif provider == "ollama":
+            return OllamaClient(base_url or "http://localhost:11434")
+        elif provider == "openai":
+            # Reuse Groq client as it's OpenAI-compatible
+            client = GroqClient(api_key)
+            client.base_url = "https://api.openai.com/v1"
+            return client
+        elif provider == "anthropic":
+            # Need a specific Anthropic client
+            return AnthropicClient(api_key)
+        else:
+            raise ValueError(f"Unknown provider: {provider}")
+
+class AnthropicClient(ModelClient):
+    def __init__(self, api_key):
+        super().__init__(api_key, "https://api.anthropic.com/v1")
+
+    def generate(self, prompt, model_name, system_prompt=None):
+        url = f"{self.base_url}/messages"
+        headers = {
+            "x-api-key": self.api_key,
+            "anthropic-version": "2023-06-01",
+            "Content-Type": "application/json"
+        }
+        messages = [{"role": "user", "content": prompt}]
+        data = {
+            "model": model_name,
+            "messages": messages,
+            "max_tokens": 4096
+        }
+        if system_prompt:
+            data["system"] = system_prompt
+            
+        response = requests.post(url, headers=headers, json=data)
+        response.raise_for_status()
+        return response.json()["content"][0]["text"]