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* Update AzureLLMs.md Add note about saving the actual model in the UI. * Update AzureLLMs.md Add note about saving the actual value in the UI.
36 lines
1.6 KiB
Markdown
36 lines
1.6 KiB
Markdown
# Azure OpenAI LLM Guide
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# 1. Completion
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OpenDevin uses LiteLLM for completion calls. You can find their documentation on Azure [here](https://docs.litellm.ai/docs/providers/azure)
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## azure openai configs
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When running the OpenDevin Docker image, you'll need to set the following environment variables using `-e`:
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```
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LLM_BASE_URL="<azure-api-base-url>" # e.g. "https://openai-gpt-4-test-v-1.openai.azure.com/"
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LLM_API_KEY="<azure-api-key>"
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LLM_MODEL="azure/<your-gpt-deployment-name>"
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LLM_API_VERSION = "<api-version>" # e.g. "2024-02-15-preview"
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```
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## Important Note:
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You can find your ChatGPT deployment name on the deployments page in Azure. It could be the same with the chat model name (e.g. 'GPT4-1106-preview'), by default or initially set, but it doesn't have to be the same. Run opendevin, and when you load it in the browser, go to Settings and set model as above: "azure/<your-actual-gpt-deployment-name>". If it's not in the list, enter your own text and save it.
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# 2. Embeddings
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OpenDevin uses llama-index for embeddings. You can find their documentation on Azure [here](https://docs.llamaindex.ai/en/stable/api_reference/embeddings/azure_openai/)
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## azure openai configs
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The model used for Azure OpenAI embeddings is "text-embedding-ada-002".
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You need the correct deployment name for this model in your Azure account.
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When running OpenDevin in Docker, set the following environment variables using `-e`:
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```
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LLM_EMBEDDING_MODEL="azureopenai"
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LLM_EMBEDDING_DEPLOYMENT_NAME = "<your-embedding-deployment-name>" # e.g. "TextEmbedding...<etc>"
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LLM_API_VERSION = "<api-version>" # e.g. "2024-02-15-preview"
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```
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