# I am the Watcher. I am your guide through this vast new twtiverse.
# 
# Usage:
#     https://watcher.sour.is/api/plain/users              View list of users and latest twt date.
#     https://watcher.sour.is/api/plain/twt                View all twts.
#     https://watcher.sour.is/api/plain/mentions?uri=:uri  View all mentions for uri.
#     https://watcher.sour.is/api/plain/conv/:hash         View all twts for a conversation subject.
# 
# Options:
#     uri     Filter to show a specific users twts.
#     offset  Start index for quey.
#     limit   Count of items to return (going back in time).
# 
# twt range = 1 1
# self = https://watcher.sour.is/conv/jepjdoa
LangChain 模型上下文協議**
MCP 源於解決大型語言模型(LLM)應用的一個關鍵限制,即它們與外部數據源和工具隔離的問題。MCP 源於解決大型語言模型(LLM)應用的一個關鍵限制,即它們與外部數據源和工具隔離的問題。LLM 驅動的應用程序的一個主要關注點是數據交付。將數據傳遞給 LLM 進行推理,這是 RAG 實現、微調以及 MCP 的目標。MCP 的主要目的是標準化 LLM 驅動的應用程序連接到各種系統的機制,如下圖所示: ⌘ Read more