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@@ class Router: if ( model_info.get("supports_parallel_function_calling", None) is not None - and model_info["supports_parallel_function_calling"] == True # type: ignore + and model_info["supports_parallel_function_calling"] is True # type: ignore ): model_group_info.supports_parallel_function_calling = True if ( model_info.get("supports_vision", None) is not None - and model_info["supports_vision"] == True # type: ignore + and model_info["supports_vision"] is True # type: ignore ): model_group_info.supports_vision = True if ( model_info.get("supports_function_calling", None) is not None - and model_info["supports_function_calling"] == True # type: ignore + and model_info["supports_function_calling"] is True # type: ignore ): model_group_info.supports_function_calling = True + if model_info.get("supported_openai_params", None) is not None: + model_group_info.supported_openai_params = model_info[ + "supported_openai_params" + ] return model_group_info diff --git a/litellm/types/router.py b/litellm/types/router.py index 5e6f2c1483a..93c65a1cf2e 100644 --- a/litellm/types/router.py +++ b/litellm/types/router.py @@ -426,3 +426,4 @@ class ModelGroupInfo(BaseModel): supports_parallel_function_calling: bool = Field(default=False) supports_vision: bool = Field(default=False) supports_function_calling: bool = Field(default=False) + supported_openai_params: List[str] = Field(default=[]) diff --git a/litellm/types/utils.py b/litellm/types/utils.py index 5c730cca8c5..cc083613291 100644 --- a/litellm/types/utils.py +++ b/litellm/types/utils.py @@ -15,6 +15,10 @@ class ProviderField(TypedDict): class ModelInfo(TypedDict): + """ + Model info for a given model, this is information found in litellm.model_prices_and_context_window.json + """ + max_tokens: int max_input_tokens: int max_output_tokens: int @@ -22,3 +26,4 @@ class ModelInfo(TypedDict): output_cost_per_token: float litellm_provider: str mode: str + supported_openai_params: List[str] diff --git a/litellm/utils.py b/litellm/utils.py index 08822692cf5..ea0f46c144b 100644 --- a/litellm/utils.py +++ b/litellm/utils.py @@ -7076,6 +7076,7 @@ def get_model_info(model: str) -> ModelInfo: - output_cost_per_token (float): The cost per token for output. - litellm_provider (str): The provider of the model (e.g., "openai"). - mode (str): The mode of the model (e.g., "chat" or "completion"). + - supported_openai_params (List[str]): A list of supported OpenAI parameters for the model. Raises: Exception: If the model is not mapped yet. @@ -7087,9 +7088,11 @@ def get_model_info(model: str) -> ModelInfo: "input_cost_per_token": 0.00003, "output_cost_per_token": 0.00006, "litellm_provider": "openai", - "mode": "chat" + "mode": "chat", + "supported_openai_params": ["temperature", "max_tokens", "top_p", "frequency_penalty", "presence_penalty"] } """ + supported_openai_params: Union[List[str], None] = [] def _get_max_position_embeddings(model_name): # Construct the URL for the config.json file @@ -7117,9 +7120,18 @@ def get_model_info(model: str) -> ModelInfo: azure_llms = litellm.azure_llms if model in azure_llms: model = azure_llms[model] - if model in litellm.model_cost: - return litellm.model_cost[model] - model, custom_llm_provider, _, _ = get_llm_provider(model=model) + ########################## + # Get custom_llm_provider + split_model, custom_llm_provider = model, "" + try: + split_model, custom_llm_provider, _, _ = get_llm_provider(model=model) + except: + pass + ######################### + + supported_openai_params = litellm.get_supported_openai_params( + model=model, custom_llm_provider=custom_llm_provider + ) if custom_llm_provider == "huggingface": max_tokens = _get_max_position_embeddings(model_name=model) return { @@ -7128,15 +7140,26 @@ def get_model_info(model: str) -> ModelInfo: "output_cost_per_token": 0, "litellm_provider": "huggingface", "mode": "chat", + "supported_openai_params": supported_openai_params, } else: """ - Check if model in model cost map + Check if: + 1. 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supports_function_calling: boolean; - supports_vision: boolean; - max_input_tokens?: number; - max_output_tokens?: number; + model_group: string; + mode: string; + supports_function_calling: boolean; + supports_vision: boolean; + max_input_tokens?: number; + max_output_tokens?: number; + supported_openai_params?: string[]; + // Add other properties if needed } @@ -127,29 +129,14 @@ const ModelHub: React.FC = ({ /> +
-
- Mode: {model.mode} - - Supports Function Calling:{" "} - {model?.supports_function_calling == true ? "Yes" : "No"} - - - Supports Vision:{" "} - {model?.supports_vision == true ? "Yes" : "No"} - - - Max Input Tokens:{" "} - {model?.max_input_tokens ? model?.max_input_tokens : "N/A"} - - - Max Output Tokens:{" "} - {model?.max_output_tokens - ? model?.max_output_tokens - : "N/A"} - -
- + Mode: {model.mode} + Supports Function Calling: {model?.supports_function_calling == true ? "Yes" : "No"} + Supports Vision: {model?.supports_vision == true ? "Yes" : "No"} + Max Input Tokens: {model?.max_input_tokens ? model?.max_input_tokens : "N/A"} + Max Output Tokens: {model?.max_output_tokens ? model?.max_output_tokens : "N/A"} +
= ({ > {selectedModel && (
-

- Model Name: {selectedModel.model_group} -

- +

Model Information & Usage

+ - - OpenAI Python SDK - LlamaIndex - Langchain Py - - - - - {` + + OpenAI Python SDK + Supported OpenAI Params + LlamaIndex + Langchain Py + + + + + {` import openai client = openai.OpenAI( api_key="your_api_key", @@ -206,8 +192,13 @@ response = client.chat.completions.create( print(response) `} - - + + + + + {`${selectedModel.supported_openai_params?.map((param) => `${param}\n`).join('')}`} + + {`