|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
from __future__ import annotations |
|
|
|
|
|
from typing import List, Optional, Union |
|
|
|
|
|
from camel.configs.base_config import BaseConfig |
|
|
|
|
|
|
|
|
class LiteLLMConfig(BaseConfig): |
|
|
r"""Defines the parameters for generating chat completions using the |
|
|
LiteLLM API. |
|
|
|
|
|
Args: |
|
|
timeout (Optional[Union[float, str]], optional): Request timeout. |
|
|
(default: None) |
|
|
temperature (Optional[float], optional): Temperature parameter for |
|
|
controlling randomness. (default: None) |
|
|
top_p (Optional[float], optional): Top-p parameter for nucleus |
|
|
sampling. (default: None) |
|
|
n (Optional[int], optional): Number of completions to generate. |
|
|
(default: None) |
|
|
stream (Optional[bool], optional): Whether to return a streaming |
|
|
response. (default: None) |
|
|
stream_options (Optional[dict], optional): Options for the streaming |
|
|
response. (default: None) |
|
|
stop (Optional[Union[str, List[str]]], optional): Sequences where the |
|
|
API will stop generating further tokens. (default: None) |
|
|
max_tokens (Optional[int], optional): Maximum number of tokens to |
|
|
generate. (default: None) |
|
|
presence_penalty (Optional[float], optional): Penalize new tokens |
|
|
based on their existence in the text so far. (default: None) |
|
|
frequency_penalty (Optional[float], optional): Penalize new tokens |
|
|
based on their frequency in the text so far. (default: None) |
|
|
logit_bias (Optional[dict], optional): Modify the probability of |
|
|
specific tokens appearing in the completion. (default: None) |
|
|
user (Optional[str], optional): A unique identifier representing the |
|
|
end-user. (default: None) |
|
|
response_format (Optional[dict], optional): Response format |
|
|
parameters. (default: None) |
|
|
seed (Optional[int], optional): Random seed. (default: None) |
|
|
tools (Optional[List], optional): List of tools. (default: None) |
|
|
tool_choice (Optional[Union[str, dict]], optional): Tool choice |
|
|
parameters. (default: None) |
|
|
logprobs (Optional[bool], optional): Whether to return log |
|
|
probabilities of the output tokens. (default: None) |
|
|
top_logprobs (Optional[int], optional): Number of most likely tokens |
|
|
to return at each token position. (default: None) |
|
|
deployment_id (Optional[str], optional): Deployment ID. (default: None) |
|
|
extra_headers (Optional[dict], optional): Additional headers for the |
|
|
request. (default: None) |
|
|
api_version (Optional[str], optional): API version. (default: None) |
|
|
mock_response (Optional[str], optional): Mock completion response for |
|
|
testing or debugging. (default: None) |
|
|
custom_llm_provider (Optional[str], optional): Non-OpenAI LLM |
|
|
provider. (default: None) |
|
|
max_retries (Optional[int], optional): Maximum number of retries. |
|
|
(default: None) |
|
|
""" |
|
|
|
|
|
timeout: Optional[Union[float, str]] = None |
|
|
temperature: Optional[float] = None |
|
|
top_p: Optional[float] = None |
|
|
n: Optional[int] = None |
|
|
stream: Optional[bool] = None |
|
|
stream_options: Optional[dict] = None |
|
|
stop: Optional[Union[str, List[str]]] = None |
|
|
max_tokens: Optional[int] = None |
|
|
presence_penalty: Optional[float] = None |
|
|
frequency_penalty: Optional[float] = None |
|
|
logit_bias: Optional[dict] = None |
|
|
user: Optional[str] = None |
|
|
response_format: Optional[dict] = None |
|
|
seed: Optional[int] = None |
|
|
tool_choice: Optional[Union[str, dict]] = None |
|
|
logprobs: Optional[bool] = None |
|
|
top_logprobs: Optional[int] = None |
|
|
deployment_id: Optional[str] = None |
|
|
extra_headers: Optional[dict] = None |
|
|
api_version: Optional[str] = None |
|
|
mock_response: Optional[str] = None |
|
|
custom_llm_provider: Optional[str] = None |
|
|
max_retries: Optional[int] = None |
|
|
|
|
|
|
|
|
LITELLM_API_PARAMS = {param for param in LiteLLMConfig.model_fields.keys()} |
|
|
|
