twinmind-sdk-patterns

# TwinMind SDK Patterns ## Overview Production patterns for TwinMind's AI memory and meeting intelligence REST API. TwinMind captures, organizes, and retrieves contextual memories from conversations and meetings. ## Prerequisites - TwinMind API key configured - Understanding of REST API patterns - Familiarity with memory/context retrieval concepts ## Instructions ### Step 1: Client Wrapper with Authentication ```python import requests import os class TwinMindClient: def __init__(self, api_key: str = None, base_url: str = "https://api.twinmind.com/v1"): self.api_key = api_key or os.environ["TWINMIND_API_KEY"] self.base_url = base_url self.session = requests.Session() self.session.headers.update({ "Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json" }) def _request(self, method: str, path: str, **kwargs): response = self.session.request(method, f"{self.base_url}{path}", **kwargs) response.raise_for_status() return response.json() ``` ### Step 2: Memory Storage and Retrieval ```python class TwinMindClient: # ... (continued from Step 1) def store_memory(self, content: str, context: dict = None, tags: list = None) -> dict: return self._request("POST", "/memories", json={ "content": content, "context": context or {}, "tags": tags or [], "timestamp": datetime.utcnow().isoformat() }) ...