91 lines
3.0 KiB
Python
91 lines
3.0 KiB
Python
import subprocess
|
|
import sys
|
|
import json
|
|
from typing import Dict, List, Optional
|
|
|
|
try:
|
|
import litellm
|
|
except ImportError:
|
|
raise ImportError("The 'litellm' library is required. Please install it using 'pip install litellm'.")
|
|
|
|
from mem0.llms.base import LLMBase
|
|
from mem0.configs.llms.base import BaseLlmConfig
|
|
|
|
|
|
class LiteLLM(LLMBase):
|
|
def __init__(self, config: Optional[BaseLlmConfig] = None):
|
|
super().__init__(config)
|
|
|
|
if not self.config.model:
|
|
self.config.model = "gpt-4o"
|
|
|
|
def _parse_response(self, response, tools):
|
|
"""
|
|
Process the response based on whether tools are used or not.
|
|
|
|
Args:
|
|
response: The raw response from API.
|
|
tools: The list of tools provided in the request.
|
|
|
|
Returns:
|
|
str or dict: The processed response.
|
|
"""
|
|
if tools:
|
|
processed_response = {
|
|
"content": response.choices[0].message.content,
|
|
"tool_calls": [],
|
|
}
|
|
|
|
if response.choices[0].message.tool_calls:
|
|
for tool_call in response.choices[0].message.tool_calls:
|
|
processed_response["tool_calls"].append(
|
|
{
|
|
"name": tool_call.function.name,
|
|
"arguments": json.loads(tool_call.function.arguments),
|
|
}
|
|
)
|
|
|
|
return processed_response
|
|
else:
|
|
return response.choices[0].message.content
|
|
|
|
def generate_response(
|
|
self,
|
|
messages: List[Dict[str, str]],
|
|
response_format=None,
|
|
tools: Optional[List[Dict]] = None,
|
|
tool_choice: str = "auto",
|
|
):
|
|
"""
|
|
Generate a response based on the given messages using Litellm.
|
|
|
|
Args:
|
|
messages (list): List of message dicts containing 'role' and 'content'.
|
|
response_format (str or object, optional): Format of the response. Defaults to "text".
|
|
tools (list, optional): List of tools that the model can call. Defaults to None.
|
|
tool_choice (str, optional): Tool choice method. Defaults to "auto".
|
|
|
|
Returns:
|
|
str: The generated response.
|
|
"""
|
|
if not litellm.supports_function_calling(self.config.model):
|
|
raise ValueError(
|
|
f"Model '{self.config.model}' in litellm does not support function calling."
|
|
)
|
|
|
|
params = {
|
|
"model": self.config.model,
|
|
"messages": messages,
|
|
"temperature": self.config.temperature,
|
|
"max_tokens": self.config.max_tokens,
|
|
"top_p": self.config.top_p,
|
|
}
|
|
if response_format:
|
|
params["response_format"] = response_format
|
|
if tools: # TODO: Remove tools if no issues found with new memory addition logic
|
|
params["tools"] = tools
|
|
params["tool_choice"] = tool_choice
|
|
|
|
response = litellm.completion(**params)
|
|
return self._parse_response(response, tools)
|