Drop Unsupported Params
Drop unsupported OpenAI params by your LLM Provider.
Quick Start
import litellm
import os
# set keys
os.environ["COHERE_API_KEY"] = "co-.."
litellm.drop_params = True # 👈 KEY CHANGE
response = litellm.completion(
model="command-r",
messages=[{"role": "user", "content": "Hey, how's it going?"}],
response_format={"key": "value"},
)
LiteLLM maps all supported openai params by provider + model (e.g. function calling is supported by anthropic on bedrock but not titan).
See litellm.get_supported_openai_params("command-r")
Code
If a provider/model doesn't support a particular param, you can drop it.
OpenAI Proxy Usage
litellm_settings:
drop_params: true
Pass drop_params in completion(..)
Just drop_params when calling specific models
- SDK
- PROXY
import litellm
import os
# set keys
os.environ["COHERE_API_KEY"] = "co-.."
response = litellm.completion(
model="command-r",
messages=[{"role": "user", "content": "Hey, how's it going?"}],
response_format={"key": "value"},
drop_params=True
)
- litellm_params:
api_base: my-base
model: openai/my-model
drop_params: true # 👈 KEY CHANGE
model_name: my-model
Specify params to drop
To drop specific params when calling a provider (E.g. 'logit_bias' for vllm)
Use additional_drop_params
- SDK
- PROXY
import litellm
import os
# set keys
os.environ["COHERE_API_KEY"] = "co-.."
response = litellm.completion(
model="command-r",
messages=[{"role": "user", "content": "Hey, how's it going?"}],
response_format={"key": "value"},
additional_drop_params=["response_format"]
)
- litellm_params:
api_base: my-base
model: openai/my-model
additional_drop_params: ["response_format"] # 👈 KEY CHANGE
model_name: my-model
additional_drop_params: List or null - Is a list of openai params you want to drop when making a call to the model.