diff --git a/litellm/proxy/_lazy_features.py b/litellm/proxy/_lazy_features.py index dd1180b30ad..faf95397fa5 100644 --- a/litellm/proxy/_lazy_features.py +++ b/litellm/proxy/_lazy_features.py @@ -205,6 +205,7 @@ LAZY_FEATURES: Final[tuple[LazyFeature, ...]] = ( "/gigachat/", "/milvus/", "/mistral/", + "/nvidia_nim/", "/openai/", "/openai_passthrough/", "/vertex-ai/", diff --git a/litellm/proxy/_lazy_openapi_snapshot.json b/litellm/proxy/_lazy_openapi_snapshot.json index f3b579d22c7..ad08598e760 100644 --- a/litellm/proxy/_lazy_openapi_snapshot.json +++ b/litellm/proxy/_lazy_openapi_snapshot.json @@ -18912,6 +18912,228 @@ ] } }, + "/nvidia_nim/{endpoint}": { + "delete": { + "description": "Relay a native NVIDIA NIM request through a LiteLLM model group.\n\n`{PROXY_BASE_URL}/nvidia_nim/{model_group}/v1/infer` forwards the body unchanged to the deployment's\n`api_base`, so object detection and OCR NIMs whose payload carries no `model` field still go through\nvirtual key auth, model access checks, and spend logging.", + "operationId": "nvidia_nim_proxy_route_nvidia_nim__endpoint__delete", + "parameters": [ + { + "in": "path", + "name": "endpoint", + "required": true, + "schema": { + "title": "Endpoint", + "type": "string" + } + } + ], + "responses": { + "200": { + "content": { + "application/json": { + "schema": {} + } + }, + "description": "Successful Response" + }, + "422": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + }, + "description": "Validation Error" + } + }, + "security": [ + { + "APIKeyHeader": [] + } + ], + "summary": "Nvidia Nim Proxy Route", + "tags": [ + "llm_passthrough" + ] + }, + "get": { + "description": "Relay a native NVIDIA NIM request through a LiteLLM model group.\n\n`{PROXY_BASE_URL}/nvidia_nim/{model_group}/v1/infer` forwards the body unchanged to the deployment's\n`api_base`, so object detection and OCR NIMs whose payload carries no `model` field still go through\nvirtual key auth, model access checks, and spend logging.", + "operationId": "nvidia_nim_proxy_route_nvidia_nim__endpoint__get", + "parameters": [ + { + "in": "path", + "name": "endpoint", + "required": true, + "schema": { + "title": "Endpoint", + "type": "string" + } + } + ], + "responses": { + "200": { + "content": { + "application/json": { + "schema": {} + } + }, + "description": "Successful Response" + }, + "422": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + }, + "description": "Validation Error" + } + }, + "security": [ + { + "APIKeyHeader": [] + } + ], + "summary": "Nvidia Nim Proxy Route", + "tags": [ + "llm_passthrough" + ] + }, + "patch": { + "description": "Relay a native NVIDIA NIM request through a LiteLLM model group.\n\n`{PROXY_BASE_URL}/nvidia_nim/{model_group}/v1/infer` forwards the body unchanged to the deployment's\n`api_base`, so object detection and OCR NIMs whose payload carries no `model` field still go through\nvirtual key auth, model access checks, and spend logging.", + "operationId": "nvidia_nim_proxy_route_nvidia_nim__endpoint__patch", + "parameters": [ + { + "in": "path", + "name": "endpoint", + "required": true, + "schema": { + "title": "Endpoint", + "type": "string" + } + } + ], + "responses": { + "200": { + "content": { + "application/json": { + "schema": {} + } + }, + "description": "Successful Response" + }, + "422": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + }, + "description": "Validation Error" + } + }, + "security": [ + { + "APIKeyHeader": [] + } + ], + "summary": "Nvidia Nim Proxy Route", + "tags": [ + "llm_passthrough" + ] + }, + "post": { + "description": "Relay a native NVIDIA NIM request through a LiteLLM model group.\n\n`{PROXY_BASE_URL}/nvidia_nim/{model_group}/v1/infer` forwards the body unchanged to the deployment's\n`api_base`, so object detection and OCR NIMs whose payload carries no `model` field still go through\nvirtual key auth, model access checks, and spend logging.", + "operationId": "nvidia_nim_proxy_route_nvidia_nim__endpoint__post", + "parameters": [ + { + "in": "path", + "name": "endpoint", + "required": true, + "schema": { + "title": "Endpoint", + "type": "string" + } + } + ], + "responses": { + "200": { + "content": { + "application/json": { + "schema": {} + } + }, + "description": "Successful Response" + }, + "422": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + }, + "description": "Validation Error" + } + }, + "security": [ + { + "APIKeyHeader": [] + } + ], + "summary": "Nvidia Nim Proxy Route", + "tags": [ + "llm_passthrough" + ] + }, + "put": { + "description": "Relay a native NVIDIA NIM request through a LiteLLM model group.\n\n`{PROXY_BASE_URL}/nvidia_nim/{model_group}/v1/infer` forwards the body unchanged to the deployment's\n`api_base`, so object detection and OCR NIMs whose payload carries no `model` field still go through\nvirtual key auth, model access checks, and spend logging.", + "operationId": "nvidia_nim_proxy_route_nvidia_nim__endpoint__put", + "parameters": [ + { + "in": "path", + "name": "endpoint", + "required": true, + "schema": { + "title": "Endpoint", + "type": "string" + } + } + ], + "responses": { + "200": { + "content": { + "application/json": { + "schema": {} + } + }, + "description": "Successful Response" + }, + "422": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + }, + "description": "Validation Error" + } + }, + "security": [ + { + "APIKeyHeader": [] + } + ], + "summary": "Nvidia Nim Proxy Route", + "tags": [ + "llm_passthrough" + ] + } + }, "/openai/deployments/{model}/chat/completions": { "post": { "description": "Follows the exact same API spec as `OpenAI's Chat API https://platform.openai.com/docs/api-reference/chat`\n\n```bash\ncurl -X POST http://localhost:4000/v1/chat/completions \n-H \"Content-Type: application/json\" \n-H \"Authorization: Bearer sk-1234\" \n-d '{\n \"model\": \"gpt-4o\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Hello!\"\n }\n ]\n}'\n```",