feat(ovhcloud): Add support of responses API

litellm/__init__.py

@@ -1449,6 +1449,7 @@ def set_global_gitlab_config(config: Dict[str, Any]) -> None:
     from .llms.perplexity.responses.transformation import PerplexityResponsesConfig as PerplexityResponsesConfig
     from .llms.databricks.responses.transformation import DatabricksResponsesAPIConfig as DatabricksResponsesAPIConfig
     from .llms.openrouter.responses.transformation import OpenRouterResponsesAPIConfig as OpenRouterResponsesAPIConfig
+    from .llms.ovhcloud.responses.transformation import OVHCloudResponsesAPIConfig as OVHCloudResponsesAPIConfig
     from .llms.gemini.interactions.transformation import GoogleAIStudioInteractionsConfig as GoogleAIStudioInteractionsConfig
     from .llms.openai.chat.o_series_transformation import OpenAIOSeriesConfig as OpenAIOSeriesConfig, OpenAIOSeriesConfig as OpenAIO1Config
     from .llms.anthropic.skills.transformation import AnthropicSkillsConfig as AnthropicSkillsConfig

litellm/_lazy_imports_registry.py

@@ -233,6 +233,7 @@
     "PerplexityResponsesConfig",
     "DatabricksResponsesAPIConfig",
     "OpenRouterResponsesAPIConfig",
+    "OVHCloudResponsesAPIConfig",
     "GoogleAIStudioInteractionsConfig",
     "OpenAIOSeriesConfig",
     "AnthropicSkillsConfig",
@@ -930,6 +931,10 @@
         ".llms.openrouter.responses.transformation",
         "OpenRouterResponsesAPIConfig",
     ),
+    "OVHCloudResponsesAPIConfig": (
+        ".llms.ovhcloud.responses.transformation",
+        "OVHCloudResponsesAPIConfig",
+    ),
     "GoogleAIStudioInteractionsConfig": (
         ".llms.gemini.interactions.transformation",
         "GoogleAIStudioInteractionsConfig",

litellm/llms/ovhcloud/responses/__init__.py

@@ -0,0 +1 @@
+"""OVHCloud Responses API support"""

litellm/llms/ovhcloud/responses/transformation.py

@@ -0,0 +1,113 @@
+"""
+Support for OVHcloud AI Endpoints `/v1/responses` endpoint.
+
+Our unified API follows the OpenAI standard.
+More information on our website: https://oai.endpoints.kepler.ai.cloud.ovh.net/doc/gpt-oss-20b/openapi.json
+"""
+from typing import Optional
+import litellm
+from litellm._logging import verbose_logger
+from litellm.llms.openai.responses.transformation import OpenAIResponsesAPIConfig
+from litellm.secret_managers.main import get_secret_str
+from litellm.types.router import GenericLiteLLMParams
+from litellm.types.utils import LlmProviders
+from litellm.utils import get_model_info
+
+class OVHCloudResponsesAPIConfig(OpenAIResponsesAPIConfig):
+    """
+    Configuration for OVHCloud AI Endpoints Responses API.
+
+    Inherits from OpenAIResponsesAPIConfig since OVHCloud's Responses API follows
+    the OpenAI specification.
+
+    Reference: https://oai.endpoints.kepler.ai.cloud.ovh.net/doc/gpt-oss-20b/openapi.json
+    """
+
+    @property
+    def custom_llm_provider(self) -> LlmProviders:
+        return LlmProviders.OVHCLOUD
+
+    def get_supported_openai_params(self, model: str) -> list:
+        """
+        Get supported OpenAI params, filtering tool-related params for models
+        that don't support function calling.
+
+        Details about function calling support can be found here:
+        https://help.ovhcloud.com/csm/en-gb-public-cloud-ai-endpoints-function-calling?id=kb_article_view&sysparm_article=KB0071907
+        """
+        supported_params = super().get_supported_openai_params(model)
+
+        supports_function_calling: Optional[bool] = None
+        try:
+            model_info = get_model_info(model, custom_llm_provider="ovhcloud")
+            supports_function_calling = model_info.get(
+                "supports_function_calling", False
+            )
+        except Exception as e:
+            verbose_logger.debug(f"Error getting supported OpenAI params: {e}")
+            pass
+
+        if supports_function_calling is not True:
+            verbose_logger.debug(
+                "You can see our models supporting function_calling in our catalog: https://www.ovhcloud.com/en/public-cloud/ai-endpoints/catalog/ "
+            )
+            # Remove tool-related params for models that don't support function calling
+            for param in ("tools", "tool_choice"):
+                if param in supported_params:
+                    supported_params.remove(param)
+
+        return supported_params
+
+    def validate_environment(
+        self, headers: dict, model: str, litellm_params: Optional[GenericLiteLLMParams]
+    ) -> dict:
+        """
+        Validate environment and set up headers for OVHCloud API.
+
+        Uses OVHCLOUD_API_KEY from environment or litellm_params.
+        """
+        litellm_params = litellm_params or GenericLiteLLMParams()
+        api_key = (
+            litellm_params.api_key
+            or litellm.api_key
+            or litellm.ovhcloud_key
+            or get_secret_str("OVHCLOUD_API_KEY")
+        )
+
+        if not api_key:
+            raise ValueError(
+                "OVHcloud AI Endpoints API key is required. Set OVHCLOUD_API_KEY environment variable or pass api_key parameter."
+            )
+
+        headers.update(
+            {
+                "Authorization": f"Bearer {api_key}",
+            }
+        )
+        return headers
+
+    def get_complete_url(
+        self,
+        api_base: Optional[str],
+        litellm_params: dict,
+    ) -> str:
+        """
+        Get the complete URL for OVHcloud AI Endpoints Responses API endpoint.
+
+        Returns:
+            str: The full URL for the OVHcloud AI Endpoints /v1/responses endpoint
+        """
+        api_base = (
+            api_base
+            or litellm.api_base
+            or get_secret_str("OVHCLOUD_API_BASE")
+            or "https://oai.endpoints.kepler.ai.cloud.ovh.net/v1"
+        )
+
+        # Remove trailing slashes
+        api_base = api_base.rstrip("/")
+
+        # Avoid double-appending /responses
+        if not api_base.endswith("/responses"):
+            return f"{api_base}/responses"
+        return api_base

litellm/utils.py

@@ -8353,6 +8353,8 @@ def get_provider_responses_api_config(
             return litellm.OpenRouterResponsesAPIConfig()
         elif litellm.LlmProviders.HOSTED_VLLM == provider:
             return litellm.HostedVLLMResponsesAPIConfig()
+        elif litellm.LlmProviders.OVHCLOUD == provider:
+            return litellm.OVHCloudResponsesAPIConfig()
         return None
 
     @staticmethod

tests/test_litellm/llms/ovhcloud/responses/test_ovhcloud_responses_transformation.py

@@ -0,0 +1,99 @@
+"""
+Tests for OVHCloud Responses API transformation
+
+Tests the OVHCloudResponsesAPIConfig class that handles OVHCloud-specific
+transformations for the Responses API.
+
+Source: litellm/llms/ovhcloud/responses/transformation.py
+"""
+import os
+import sys
+
+sys.path.insert(0, os.path.abspath("../../../../.."))
+
+import pytest
+
+from litellm.llms.ovhcloud.responses.transformation import OVHCloudResponsesAPIConfig
+from litellm.types.router import GenericLiteLLMParams
+from litellm.types.utils import LlmProviders
+from litellm.utils import ProviderConfigManager
+
+
+class TestOVHCloudResponsesAPITransformation:
+    """Test OVHCloud Responses API configuration and transformations"""
+
+    def test_ovhcloud_provider_config_registration(self):
+        """Test that OVHCloud provider returns OVHCloudResponsesAPIConfig"""
+        config = ProviderConfigManager.get_provider_responses_api_config(
+            model="ovhcloud/gpt-oss-120b",
+            provider=LlmProviders.OVHCLOUD,
+        )
+
+        assert config is not None, "Config should not be None for OVHCloud provider"
+        assert isinstance(
+            config, OVHCloudResponsesAPIConfig
+        ), f"Expected OVHCloudResponsesAPIConfig, got {type(config)}"
+        assert (
+            config.custom_llm_provider == LlmProviders.OVHCLOUD
+        ), "custom_llm_provider should be OVHCLOUD"
+
+    def test_ovhcloud_responses_endpoint_url(self):
+        """Test that get_complete_url returns correct OVHCloud endpoint"""
+        config = OVHCloudResponsesAPIConfig()
+
+        # Test with default OVHCloud API base
+        url = config.get_complete_url(api_base=None, litellm_params={})
+        assert url == "https://oai.endpoints.kepler.ai.cloud.ovh.net/v1/responses", f"Expected OVHCloud responses endpoint, got {url}"
+
+        # Test with custom api_base
+        custom_url = config.get_complete_url(
+            api_base="https://custom.ovhcloud.example.com/v1", 
+            litellm_params={}
+        )
+        assert custom_url == "https://custom.ovhcloud.example.com/v1/responses", f"Expected custom endpoint, got {custom_url}"
+
+        # Test with trailing slash
+        url_with_slash = config.get_complete_url(
+            api_base="https://oai.endpoints.kepler.ai.cloud.ovh.net/v1/", 
+            litellm_params={}
+        )
+        assert url_with_slash == "https://oai.endpoints.kepler.ai.cloud.ovh.net/v1/responses", "Should handle trailing slash"
+
+    def test_validate_environment_with_api_key(self):
+        """Test that validate_environment sets Authorization header correctly"""
+        config = OVHCloudResponsesAPIConfig()
+
+        headers = {}
+        litellm_params = GenericLiteLLMParams(api_key="test-api-key-123")
+
+        result = config.validate_environment(
+            headers=headers,
+            model="ovhcloud/gpt-oss-120b",
+            litellm_params=litellm_params
+        )
+
+        assert "Authorization" in result
+        assert result["Authorization"] == "Bearer test-api-key-123"
+
+    def test_validate_environment_missing_api_key(self):
+        """Test that validate_environment raises error when API key is missing"""
+        config = OVHCloudResponsesAPIConfig()
+
+        headers = {}
+
+        with pytest.raises(ValueError, match="OVHcloud AI Endpoints API key is required"):
+            config.validate_environment(
+                headers=headers,
+                model="ovhcloud/gpt-oss-120b",
+                litellm_params=None
+            )
+
+    def test_supported_params_includes_openai_params(self):
+        """Test that get_supported_openai_params includes standard OpenAI params"""
+        config = OVHCloudResponsesAPIConfig()
+        supported = config.get_supported_openai_params("ovhcloud/gpt-oss-120b")
+
+        # OVHCloud follows OpenAI spec, so should support standard params
+        assert "model" in supported, "model should be supported"
+        assert "input" in supported, "input should be supported"
+        assert "temperature" in supported, "temperature should be supported"