Improvements to Graph Memory (#1779)

mem0/llms/openai_structured.py

@@ -0,0 +1,88 @@
+import os, json
+from typing import Dict, List, Optional
+
+from openai import OpenAI
+
+from mem0.llms.base import LLMBase
+from mem0.configs.llms.base import BaseLlmConfig
+
+
+class OpenAIStructuredLLM(LLMBase):
+    def __init__(self, config: Optional[BaseLlmConfig] = None):
+        super().__init__(config)
+
+        if not self.config.model:
+            self.config.model = "gpt-4o-2024-08-06"
+
+        api_key = os.getenv("OPENAI_API_KEY") or self.config.api_key
+        base_url = os.getenv("OPENAI_API_BASE") or self.config.openai_base_url
+        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.
+            response_format: The format in which the response should be processed.
+
+        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 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".
+
+        Returns:
+            str: The generated response.
+        """
+        params = {
+            "model": self.config.model,
+            "messages": messages,
+            "temperature": self.config.temperature,
+        }
+
+        if response_format:
+            params["response_format"] = response_format
+        if tools:
+            params["tools"] = tools
+            params["tool_choice"] = tool_choice
+
+        response = self.client.beta.chat.completions.parse(**params)
+
+        return self._parse_response(response, tools)