chore: initial public snapshot for github upload

llm-gateway-competitors/litellm-wheel-src/litellm/llms/openai_like/responses/__init__.py

@@ -0,0 +1,5 @@
+from litellm.llms.openai_like.responses.transformation import (
+    OpenAILikeResponsesConfig,
+)
+
+__all__ = ["OpenAILikeResponsesConfig"]

llm-gateway-competitors/litellm-wheel-src/litellm/llms/openai_like/responses/transformation.py

@@ -0,0 +1,51 @@
+"""
+OpenAI-like Responses API transformation.
+
+Base class for JSON-declared providers that support the /v1/responses endpoint.
+Inherits everything from OpenAIResponsesAPIConfig; subclasses only override
+provider-specific resolution (slug, API key env var, base URL).
+"""
+
+from typing import Optional, Union
+
+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
+
+
+class OpenAILikeResponsesConfig(OpenAIResponsesAPIConfig):
+    """
+    Responses API config for OpenAI-compatible providers declared via JSON.
+
+    Concrete per-provider classes are generated dynamically in dynamic_config.py.
+    This base provides the three overridable hooks that the dynamic generator
+    fills in: custom_llm_provider, validate_environment, get_complete_url.
+    """
+
+    @property
+    def custom_llm_provider(self) -> Union[str, LlmProviders]:  # type: ignore[override]
+        return "openai_like"
+
+    def validate_environment(
+        self,
+        headers: dict,
+        model: str,
+        litellm_params: Optional[GenericLiteLLMParams],
+    ) -> dict:
+        litellm_params = litellm_params or GenericLiteLLMParams()
+        api_key = litellm_params.api_key or get_secret_str("OPENAI_LIKE_API_KEY")
+        if api_key:
+            headers["Authorization"] = f"Bearer {api_key}"
+        return headers
+
+    def get_complete_url(
+        self,
+        api_base: Optional[str],
+        litellm_params: dict,
+    ) -> str:
+        api_base = api_base or get_secret_str("OPENAI_LIKE_API_BASE")
+        if not api_base:
+            raise ValueError("api_base is required for openai_like provider")
+        api_base = api_base.rstrip("/")
+        return f"{api_base}/responses"