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* Create docs (#323) * Create .readthedocs.yaml * Update mkdocs.yml * update * revise * syntax * syntax * syntax * syntax * revise * revise * spacing * Docs (#327) * add stuff * patch homepage * more docs * updated * updated * refresh * refresh * refresh * update * refresh * refresh * refresh * refresh * missing file * refresh * refresh * refresh * refresh * fix black * refresh * refresh * refresh * refresh * add readme for just the docs * Update README.md * add more data loading docs * cleanup data sources * refresh * revised * add search * make prettier * revised * updated * refresh * favi * updated --------- Co-authored-by: Sarah Wooders <sarahwooders@gmail.com>
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LLM Backends
You can use MemGPT with various LLM backends, including the OpenAI API, Azure OpenAI, and various local (or self-hosted) LLM backends.
OpenAI
To use MemGPT with an OpenAI API key, simply set the OPENAI_API_KEY variable:
export OPENAI_API_KEY=YOUR_API_KEY # on Linux/Mac
set OPENAI_API_KEY=YOUR_API_KEY # on Windows
$Env:OPENAI_API_KEY = "YOUR_API_KEY" # on Windows (PowerShell)
Azure
To use MemGPT with Azure, expore the following variables and then re-run memgpt configure:
# see https://github.com/openai/openai-python#microsoft-azure-endpoints
export AZURE_OPENAI_KEY = ...
export AZURE_OPENAI_ENDPOINT = ...
export AZURE_OPENAI_VERSION = ...
# set the below if you are using deployment ids
export AZURE_OPENAI_DEPLOYMENT = ...
export AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT = ...
Replace export with set or $Env: if you are on Windows (see the OpenAI example).
Note: your Azure endpoint must support functions or you will get an error. See this GitHub issue for more information.
Custom endpoints
To use custom OpenAI endpoints, run export OPENAI_API_BASE=<MY_CUSTOM_URL> and then re-run memgpt configure to set the custom endpoint as the default endpoint.
Local LLMs
Setting up MemGPT to run with local LLMs requires a bit more setup, follow the instructions here.