# Conceptual Python Adapter Example

class LLMProviderAdapter:
    def __init__(self, api_key):
        self.api_key = api_key
        self.base_url = "https://provider.example.com/api/v1"

    def _make_request(self, method, endpoint, json_data):
        headers = {"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json"}
        response = requests.request(method, f"{self.base_url}{endpoint}", json=json_data, headers=headers)
        response.raise_for_status() # Raise HTTPError for bad responses (4xx or 5xx)
        return response.json()

    def create_chat_completion(self, messages, model, max_tokens, temperature):
        raise NotImplementedError("Subclasses must implement this method")

class OpenAIAdapter(LLMProviderAdapter):
    def create_chat_completion(self, messages, model, max_tokens, temperature):
        payload = {
            "model": model,
            "messages": messages,
            "max_tokens": max_tokens,
            "temperature": temperature,
        }
        try:
            response = self._make_request("POST", "/chat/completions", payload)
            # Transform OpenAI response to unified format if necessary
            return response
        except requests.exceptions.RequestException as e:
            # Map OpenAI specific errors to generic Fusion errors
            raise FusionError(f"OpenAI API error: {e}") from e

class AnthropicAdapter(LLMProviderAdapter):
    def create_chat_completion(self, messages, model, max_tokens, temperature):
        # Anthropic API has different parameter names, e.g., 'max_tokens_to_sample'
        payload = {
            "model": model,
            "messages": messages,
            "max_tokens_to_sample": max_tokens, # Example of parameter mapping
            "temperature": temperature,
        }
        try:
            response = self._make_request("POST", "/v1/messages", payload) # Different endpoint
            # Transform Anthropic response to unified format
            return response
        except requests.exceptions.RequestException as e:
            raise FusionError(f"Anthropic API error: {e}") from e

# In the main API gateway:
# adapter = adapter_factory.get_adapter("openai", openai_api_key)
# unified_response = adapter.create_chat_completion(...)