chore: initial snapshot for gitea/github upload

llm-gateway-competitors/litellm-wheel-src/litellm/llms/azure_ai/image_generation/__init__.py

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+from litellm._logging import verbose_logger
+from litellm.llms.base_llm.image_generation.transformation import (
+    BaseImageGenerationConfig,
+)
+
+from .dall_e_2_transformation import AzureFoundryDallE2ImageGenerationConfig
+from .dall_e_3_transformation import AzureFoundryDallE3ImageGenerationConfig
+from .flux_transformation import AzureFoundryFluxImageGenerationConfig
+from .gpt_transformation import AzureFoundryGPTImageGenerationConfig
+
+__all__ = [
+    "AzureFoundryFluxImageGenerationConfig",
+    "AzureFoundryGPTImageGenerationConfig",
+    "AzureFoundryDallE2ImageGenerationConfig",
+    "AzureFoundryDallE3ImageGenerationConfig",
+]
+
+
+def get_azure_ai_image_generation_config(model: str) -> BaseImageGenerationConfig:
+    model = model.lower()
+    model = model.replace("-", "")
+    model = model.replace("_", "")
+    if model == "" or "dalle2" in model:  # empty model is dall-e-2
+        return AzureFoundryDallE2ImageGenerationConfig()
+    elif "dalle3" in model:
+        return AzureFoundryDallE3ImageGenerationConfig()
+    elif "flux" in model:
+        return AzureFoundryFluxImageGenerationConfig()
+    else:
+        verbose_logger.debug(
+            f"Using AzureGPTImageGenerationConfig for model: {model}. This follows the gpt-image-1 model format."
+        )
+        return AzureFoundryGPTImageGenerationConfig()

llm-gateway-competitors/litellm-wheel-src/litellm/llms/azure_ai/image_generation/cost_calculator.py

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+from typing import Any
+
+import litellm
+from litellm.types.utils import ImageResponse
+
+
+def cost_calculator(
+    model: str,
+    image_response: Any,
+) -> float:
+    """
+    Recraft image generation cost calculator
+    """
+    _model_info = litellm.get_model_info(
+        model=model,
+        custom_llm_provider=litellm.LlmProviders.AZURE_AI.value,
+    )
+    output_cost_per_image: float = _model_info.get("output_cost_per_image") or 0.0
+    num_images: int = 0
+    if isinstance(image_response, ImageResponse):
+        if image_response.data:
+            num_images = len(image_response.data)
+        return output_cost_per_image * num_images
+    else:
+        raise ValueError(
+            f"image_response must be of type ImageResponse got type={type(image_response)}"
+        )

llm-gateway-competitors/litellm-wheel-src/litellm/llms/azure_ai/image_generation/dall_e_2_transformation.py

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+from litellm.llms.openai.image_generation import DallE2ImageGenerationConfig
+
+
+class AzureFoundryDallE2ImageGenerationConfig(DallE2ImageGenerationConfig):
+    """
+    Azure dall-e-2 image generation config
+    """
+
+    pass

llm-gateway-competitors/litellm-wheel-src/litellm/llms/azure_ai/image_generation/dall_e_3_transformation.py

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+from litellm.llms.openai.image_generation import DallE3ImageGenerationConfig
+
+
+class AzureFoundryDallE3ImageGenerationConfig(DallE3ImageGenerationConfig):
+    """
+    Azure dall-e-3 image generation config
+    """
+
+    pass

llm-gateway-competitors/litellm-wheel-src/litellm/llms/azure_ai/image_generation/flux_transformation.py

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+from typing import Optional
+
+from litellm.llms.openai.image_generation import GPTImageGenerationConfig
+
+
+class AzureFoundryFluxImageGenerationConfig(GPTImageGenerationConfig):
+    """
+    Azure Foundry flux image generation config
+
+    From manual testing it follows the gpt-image-1 image generation config
+
+    (Azure Foundry does not have any docs on supported params at the time of writing)
+
+    From our test suite - following GPTImageGenerationConfig is working for this model
+    """
+
+    @staticmethod
+    def get_flux2_image_generation_url(
+        api_base: Optional[str],
+        model: str,
+        api_version: Optional[str],
+    ) -> str:
+        """
+        Constructs the complete URL for Azure AI FLUX 2 image generation.
+
+        FLUX 2 models on Azure AI use a different URL pattern than standard Azure OpenAI:
+        - Standard: /openai/deployments/{model}/images/generations
+        - FLUX 2: /providers/blackforestlabs/v1/flux-2-pro
+
+        Args:
+            api_base: Base URL (e.g., https://litellm-ci-cd-prod.services.ai.azure.com)
+            model: Model name (e.g., flux.2-pro)
+            api_version: API version (e.g., preview)
+
+        Returns:
+            Complete URL for the FLUX 2 image generation endpoint
+        """
+        if api_base is None:
+            raise ValueError(
+                "api_base is required for Azure AI FLUX 2 image generation"
+            )
+
+        api_base = api_base.rstrip("/")
+        api_version = api_version or "preview"
+
+        # If the api_base already contains /providers/, it's already a complete path
+        if "/providers/" in api_base:
+            if "?" in api_base:
+                return api_base
+            return f"{api_base}?api-version={api_version}"
+
+        # Construct the FLUX 2 provider path
+        # Model name flux.2-pro maps to endpoint flux-2-pro
+        return f"{api_base}/providers/blackforestlabs/v1/flux-2-pro?api-version={api_version}"
+
+    @staticmethod
+    def is_flux2_model(model: str) -> bool:
+        """
+        Check if the model is an Azure AI FLUX 2 model.
+
+        Args:
+            model: Model name (e.g., flux.2-pro, azure_ai/flux.2-pro)
+
+        Returns:
+            True if the model is a FLUX 2 model
+        """
+        model_lower = model.lower().replace(".", "-").replace("_", "-")
+        return "flux-2" in model_lower or "flux2" in model_lower

llm-gateway-competitors/litellm-wheel-src/litellm/llms/azure_ai/image_generation/gpt_transformation.py

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+from litellm.llms.openai.image_generation import GPTImageGenerationConfig
+
+
+class AzureFoundryGPTImageGenerationConfig(GPTImageGenerationConfig):
+    """
+    Azure gpt-image-1 image generation config
+    """
+
+    pass