148 lines
5.4 KiB
Python
148 lines
5.4 KiB
Python
import json
|
|
import logging
|
|
import os
|
|
from typing import Dict, List, Optional, Union
|
|
|
|
from openai import OpenAI
|
|
|
|
from mem0.configs.llms.base import BaseLlmConfig
|
|
from mem0.configs.llms.openai import OpenAIConfig
|
|
from mem0.llms.base import LLMBase
|
|
from mem0.memory.utils import extract_json
|
|
|
|
|
|
class OpenAILLM(LLMBase):
|
|
def __init__(self, config: Optional[Union[BaseLlmConfig, OpenAIConfig, Dict]] = None):
|
|
# Convert to OpenAIConfig if needed
|
|
if config is None:
|
|
config = OpenAIConfig()
|
|
elif isinstance(config, dict):
|
|
config = OpenAIConfig(**config)
|
|
elif isinstance(config, BaseLlmConfig) and not isinstance(config, OpenAIConfig):
|
|
# Convert BaseLlmConfig to OpenAIConfig
|
|
config = OpenAIConfig(
|
|
model=config.model,
|
|
temperature=config.temperature,
|
|
api_key=config.api_key,
|
|
max_tokens=config.max_tokens,
|
|
top_p=config.top_p,
|
|
top_k=config.top_k,
|
|
enable_vision=config.enable_vision,
|
|
vision_details=config.vision_details,
|
|
http_client_proxies=config.http_client,
|
|
)
|
|
|
|
super().__init__(config)
|
|
|
|
if not self.config.model:
|
|
self.config.model = "gpt-4.1-nano-2025-04-14"
|
|
|
|
if os.environ.get("OPENROUTER_API_KEY"): # Use OpenRouter
|
|
self.client = OpenAI(
|
|
api_key=os.environ.get("OPENROUTER_API_KEY"),
|
|
base_url=self.config.openrouter_base_url
|
|
or os.getenv("OPENROUTER_API_BASE")
|
|
or "https://openrouter.ai/api/v1",
|
|
)
|
|
else:
|
|
api_key = self.config.api_key or os.getenv("OPENAI_API_KEY")
|
|
base_url = self.config.openai_base_url or os.getenv("OPENAI_BASE_URL") or "https://api.openai.com/v1"
|
|
|
|
self.client = OpenAI(api_key=api_key, base_url=base_url)
|
|
|
|
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(extract_json(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",
|
|
**kwargs,
|
|
):
|
|
"""
|
|
Generate a JSON response based on the given messages using OpenAI.
|
|
|
|
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".
|
|
**kwargs: Additional OpenAI-specific parameters.
|
|
|
|
Returns:
|
|
json: The generated response.
|
|
"""
|
|
params = self._get_supported_params(messages=messages, **kwargs)
|
|
|
|
params.update({
|
|
"model": self.config.model,
|
|
"messages": messages,
|
|
})
|
|
|
|
if os.getenv("OPENROUTER_API_KEY"):
|
|
openrouter_params = {}
|
|
if self.config.models:
|
|
openrouter_params["models"] = self.config.models
|
|
openrouter_params["route"] = self.config.route
|
|
params.pop("model")
|
|
|
|
if self.config.site_url and self.config.app_name:
|
|
extra_headers = {
|
|
"HTTP-Referer": self.config.site_url,
|
|
"X-Title": self.config.app_name,
|
|
}
|
|
openrouter_params["extra_headers"] = extra_headers
|
|
|
|
params.update(**openrouter_params)
|
|
|
|
else:
|
|
openai_specific_generation_params = ["store"]
|
|
for param in openai_specific_generation_params:
|
|
if hasattr(self.config, param):
|
|
params[param] = getattr(self.config, param)
|
|
|
|
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 = self.client.chat.completions.create(**params)
|
|
parsed_response = self._parse_response(response, tools)
|
|
if self.config.response_callback:
|
|
try:
|
|
self.config.response_callback(self, response, params)
|
|
except Exception as e:
|
|
# Log error but don't propagate
|
|
logging.error(f"Error due to callback: {e}")
|
|
pass
|
|
return parsed_response
|