Langchain - terrytaylorbonn/auxdrone GitHub Wiki

25.0327 Doc URLs Stack URLs Lab notes (Gdrive), Git

• *** 25.0326 5mins LangGraph Computer Use Agents LangChain https://www.youtube.com/watch?v=ndCFqT6xFQ4
  • A LangGraph agent that uses the OpenAI Computer Use API and Scrapybara to build a computer use agent
• https://langchain-ai.github.io/langgraph/tutorials/introduction/
• 25.0315 LANCE: Fully local multi-agent systems with LangGraph LangChain https://www.youtube.com/watch?v=4oC1ZKa9-Hs

xxxx

• (colab/github) build an Agent https://python.langchain.com/docs/tutorials/agents/
  • https://python.langchain.com/api_reference/
  • By themselves, language models can't take actions - they just output text. A big use case for LangChain is creating agents. Agents are systems that use LLMs as reasoning engines to determine which actions to take and the inputs necessary to perform the action. After executing actions, the results can be fed back into the LLM to determine whether more actions are needed, or whether it is okay to finish. This is often achieved via tool-calling.
  • In this tutorial we will build an agent that can interact with a search engine. You will be able to ask this agent questions, watch it call the search tool, and have conversations with it.
  • Build an Agent https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/docs/tutorials/agents.ipynb#scrollTo=1df78a71
• #328_langchain_academy_LANGCHAIN_v03_25.0326 DIR: LANGCHAIN-ACADEMY (NEED TO FINISH MODULES 2-6) https://academy.langchain.com/courses/take/intro-to-langgraph/lessons/58239232-lesson-6-agent