feat(utils.py): support dynamically setting 'drop_params'

Allows user to turn this on/off for individual calls by passing in as a completion arg

docs/my-website/docs/completion/input.md

@@ -39,38 +39,34 @@ This is a list of openai params we translate across providers.
 
 Use `litellm.get_supported_openai_params()` for an updated list of params for each model + provider 
 
-| Provider | temperature | max_tokens | top_p | stream | stop | n | presence_penalty | frequency_penalty | functions | function_call | logit_bias | user | response_format | seed | tools | tool_choice | logprobs | top_logprobs | extra_headers | 
+| Provider | temperature | max_tokens | top_p | stream | stream_options | stop | n | presence_penalty | frequency_penalty | functions | function_call | logit_bias | user | response_format | seed | tools | tool_choice | logprobs | top_logprobs | extra_headers |
-|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|--|
+|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
-|Anthropic| ✅ | ✅ | ✅ | ✅ | ✅ |  |  |   |  |  |  |✅ | ✅ | ✅ | ✅ | ✅ |  |  | ✅ 
+|Anthropic| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  |  |   |  |  |  |✅ | ✅ | ✅ | ✅ | ✅ |  |  | ✅ |
-|OpenAI| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |✅ | ✅ | ✅ | ✅ |✅ | ✅ | ✅ | ✅ | ✅ |
+|OpenAI| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |✅ | ✅ | ✅ | ✅ |✅ | ✅ | ✅ | ✅ | ✅ |
-|Azure OpenAI| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |✅ | ✅ | ✅ | ✅ |✅ | ✅ |  |  | ✅ |
+|Azure OpenAI| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |✅ | ✅ | ✅ | ✅ |✅ | ✅ |  |  | ✅ |
 |Replicate | ✅ | ✅ | ✅ | ✅ | ✅ | |  |   |  |   |
-|Anyscale | ✅ | ✅ | ✅ | ✅ |
+|Anyscale | ✅ | ✅ | ✅ | ✅ | ✅ |
 |Cohere| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |   |   |
-|Huggingface| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  |  |   |    |
+|Huggingface| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  |   |    |
 |Openrouter| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | | | ✅ | | | | |
 |AI21| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  |  |
-|VertexAI| ✅ | ✅ |  | ✅ |  |  |  |  |  |   | | | | | ✅ | | |
+|VertexAI| ✅ | ✅ |  | ✅ | ✅ |  |  |  |  |   | | | | | ✅ | | |
 |Bedrock| ✅ | ✅ | ✅ | ✅ | ✅ |  |  |   |  |   | | | | | ✅ (for anthropic) | |
-|Sagemaker| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  |  |  |   |
+|Sagemaker| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  |  |   |
 |TogetherAI| ✅ | ✅ | ✅ | ✅ | ✅ |  |  |   |  |   | ✅ |
-|AlephAlpha| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  |   |  |   |
+|AlephAlpha| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |   |  |   |
-|Palm| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  |  |  |   |
+|Palm| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  |  |   |
 |NLP Cloud| ✅ | ✅ | ✅ | ✅ | ✅ | | |  |  |   |
-|Petals| ✅ | ✅ |  | ✅ | |  |   |  |  |   |
+|Petals| ✅ | ✅ |  | ✅ | ✅ | |  |   |  |   |
 |Ollama| ✅ | ✅ | ✅ | ✅ | ✅ |  |   | ✅ |  |   | | | ✅ | | |
 |Databricks| ✅ | ✅ | ✅ | ✅ | ✅ |  |   | |  |   | | | | | |
-|ClarifAI| ✅ | ✅ | | | |  |   | |  |   | | | | | |
+|ClarifAI| ✅ | ✅ | |✅ | ✅ |  |   | |  |   | | | | | |
-
 :::note
 
 By default, LiteLLM raises an exception if the openai param being passed in isn't supported. 
 
-To drop the param instead, set `litellm.drop_params = True`.
+To drop the param instead, set `litellm.drop_params = True` or `completion(..drop_params=True)`.
 
-**For function calling:**
-
-Add to prompt for non-openai models, set: `litellm.add_function_to_prompt = True`. 
 ::: 
 
 ## Input Params

litellm/tests/test_optional_params.py

@@ -9,6 +9,7 @@ from litellm.utils import get_optional_params_embeddings, get_optional_params
 from litellm.llms.prompt_templates.factory import (
     map_system_message_pt,
 )
+from unittest.mock import patch, MagicMock
 from litellm.types.completion import (
     ChatCompletionUserMessageParam,
     ChatCompletionSystemMessageParam,
@@ -243,3 +244,45 @@ def test_azure_tool_choice(api_version):
         ), "tool_choice={} for api version={}".format(
             optional_params["tool_choice"], api_version
         )
+
+
+@pytest.mark.parametrize("drop_params", [True, False, None])
+def test_dynamic_drop_params(drop_params):
+    """
+    Make a call to cohere w/ drop params = True vs. false.
+    """
+    if drop_params == True:
+        optional_params = litellm.utils.get_optional_params(
+            model="command-r",
+            custom_llm_provider="cohere",
+            response_format="json",
+            drop_params=drop_params,
+        )
+    else:
+        try:
+            optional_params = litellm.utils.get_optional_params(
+                model="command-r",
+                custom_llm_provider="cohere",
+                response_format="json",
+                drop_params=drop_params,
+            )
+            pytest.fail("Expected to fail")
+        except Exception as e:
+            pass
+
+
+def test_dynamic_drop_params_e2e():
+    with patch("requests.post", new=MagicMock()) as mock_response:
+        try:
+            response = litellm.completion(
+                model="command-r",
+                messages=[{"role": "user", "content": "Hey, how's it going?"}],
+                response_format={"key": "value"},
+                drop_params=True,
+            )
+        except Exception as e:
+            pass
+
+        mock_response.assert_called_once()
+        print(mock_response.call_args.kwargs["data"])
+        assert "response_format" not in mock_response.call_args.kwargs["data"]

litellm/utils.py

@@ -5173,6 +5173,7 @@ def get_optional_params(
     top_logprobs=None,
     extra_headers=None,
     api_version=None,
+    drop_params=None,
     **kwargs,
 ):
     # retrieve all parameters passed to the function
@@ -5244,6 +5245,7 @@ def get_optional_params(
         "top_logprobs": None,
         "extra_headers": None,
         "api_version": None,
+        "drop_params": None,
     }
     # filter out those parameters that were passed with non-default values
     non_default_params = {
@@ -5253,6 +5255,7 @@ def get_optional_params(
             k != "model"
             and k != "custom_llm_provider"
             and k != "api_version"
+            and k != "drop_params"
             and k in default_params
             and v != default_params[k]
         )
@@ -5335,7 +5338,12 @@ def get_optional_params(
                 # Always keeps this in elif code blocks
                 else:
                     unsupported_params[k] = non_default_params[k]
-        if unsupported_params and not litellm.drop_params:
+        if unsupported_params:
+            if litellm.drop_params == True or (
+                drop_params is not None and drop_params == True
+            ):
+                pass
+            else:
                 raise UnsupportedParamsError(
                     status_code=500,
                     message=f"{custom_llm_provider} does not support parameters: {unsupported_params}, for model={model}. To drop these, set `litellm.drop_params=True` or for proxy:\n\n`litellm_settings:\n drop_params: true`\n",