* 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>
35 lines
1.4 KiB
Markdown
35 lines
1.4 KiB
Markdown
### LLM Backends
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You can use MemGPT with various LLM backends, including the OpenAI API, Azure OpenAI, and various local (or self-hosted) LLM backends.
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#### OpenAI
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To use MemGPT with an OpenAI API key, simply set the `OPENAI_API_KEY` variable:
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```sh
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export OPENAI_API_KEY=YOUR_API_KEY # on Linux/Mac
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set OPENAI_API_KEY=YOUR_API_KEY # on Windows
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$Env:OPENAI_API_KEY = "YOUR_API_KEY" # on Windows (PowerShell)
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```
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#### Azure
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To use MemGPT with Azure, expore the following variables and then re-run `memgpt configure`:
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```sh
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# see https://github.com/openai/openai-python#microsoft-azure-endpoints
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export AZURE_OPENAI_KEY = ...
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export AZURE_OPENAI_ENDPOINT = ...
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export AZURE_OPENAI_VERSION = ...
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# set the below if you are using deployment ids
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export AZURE_OPENAI_DEPLOYMENT = ...
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export AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT = ...
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```
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Replace `export` with `set` or `$Env:` if you are on Windows (see the OpenAI example).
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Note: **your Azure endpoint must support functions** or you will get an error. See [this GitHub issue](https://github.com/cpacker/MemGPT/issues/91) for more information.
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#### Custom endpoints
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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.
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#### Local LLMs
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Setting up MemGPT to run with local LLMs requires a bit more setup, follow [the instructions here](../local_llm).
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