Configure Development environmet

• Install pyenv
  • Mac: brew install pyenv
• Edit file sample.env and parameters. Rename file to .env
  • For installation, OCI_PROFILE environment parameter matching file ~/.oci/config
• Execute source configureEnvironment.sh. This script
  • Install version python 3.12 if not installed yet and set it as current local version (file .python-version)
  • Create environment for installing required packages. Use capability .nosync for avoiding problems with OneDrive (this trick only works in Mac so if you use OneDrive try another no-sync solution)
  • Activate environment
  • Install requirements.txt
• Get API keys and save in .env file
  • Anthropic

LangGraph tutorial

Links

LangChain/LangGraph

• LangChain:Oracle Cloud Infrastructure Generative AI
• LangChain Providers: Oracle Cloud Infrastructure (OCI)
  • Class: ChatOCIModelDeployment
• LangGraph
• LangGraph quickstart

OCI

• Generative AI Service Inference API - Endpoints

• Generative AI Service Management API - Endpoints

• GenerateText

• Mensaje en slack

We’re happy to share that our latest integration is now available on LangChain. This integration includes major updates with support for our latest models and features including: command-r/+, Llama 3, chat, and streaming. To use you should be transitioning to the new chat interface ‘ChatOCIGenAI’ (vs ‘OCIGenAI’ still supported for legacy models). To install use: pip install -qU langchain-community oci And basic usage examples are available here https://python.langchain.com/v0.2/docs/integrations/chat/oci_generative_ai/ and here https://python.langchain.com/v0.2/docs/integrations/llms/oci_generative_ai/ For any questions feel free to contact Arthur (@archeng) and myself on this channel or directly.