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🅰️ feat: Azure Config to Allow Different Deployments per Model (#1863)
* wip: first pass for azure endpoint schema * refactor: azure config to return groupMap and modelConfigMap * wip: naming and schema changes * refactor(errorsToString): move to data-provider * feat: rename to azureGroups, add additional tests, tests all expected outcomes, return errors * feat(AppService): load Azure groups * refactor(azure): use imported types, write `mapModelToAzureConfig` * refactor: move `extractEnvVariable` to data-provider * refactor(validateAzureGroups): throw on duplicate groups or models; feat(mapModelToAzureConfig): throw if env vars not present, add tests * refactor(AppService): ensure each model is properly configured on startup * refactor: deprecate azureOpenAI environment variables in favor of librechat.yaml config * feat: use helper functions to handle and order enabled/default endpoints; initialize azureOpenAI from config file * refactor: redefine types as well as load azureOpenAI models from config file * chore(ci): fix test description naming * feat(azureOpenAI): use validated model grouping for request authentication * chore: bump data-provider following rebase * chore: bump config file version noting significant changes * feat: add title options and switch azure configs for titling and vision requests * feat: enable azure plugins from config file * fix(ci): pass tests * chore(.env.example): mark `PLUGINS_USE_AZURE` as deprecated * fix(fetchModels): early return if apiKey not passed * chore: fix azure config typing * refactor(mapModelToAzureConfig): return baseURL and headers as well as azureOptions * feat(createLLM): use `azureOpenAIBasePath` * feat(parsers): resolveHeaders * refactor(extractBaseURL): handle invalid input * feat(OpenAIClient): handle headers and baseURL for azureConfig * fix(ci): pass `OpenAIClient` tests * chore: extract env var for azureOpenAI group config, baseURL * docs: azureOpenAI config setup docs * feat: safe check of potential conflicting env vars that map to unique placeholders * fix: reset apiKey when model switches from originally requested model (vision or title) * chore: linting * docs: CONFIG_PATH notes in custom_config.md
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.env.example
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.env.example
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@ -66,18 +66,21 @@ ANTHROPIC_MODELS=claude-1,claude-instant-1,claude-2
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# Azure #
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#============#
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# AZURE_API_KEY=
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AZURE_OPENAI_MODELS=gpt-3.5-turbo,gpt-4
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# AZURE_OPENAI_DEFAULT_MODEL=gpt-3.5-turbo
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# PLUGINS_USE_AZURE="true"
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AZURE_USE_MODEL_AS_DEPLOYMENT_NAME=TRUE
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# Note: these variables are DEPRECATED
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# Use the `librechat.yaml` configuration for `azureOpenAI` instead
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# You may also continue to use them if you opt out of using the `librechat.yaml` configuration
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# AZURE_OPENAI_API_INSTANCE_NAME=
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# AZURE_OPENAI_API_DEPLOYMENT_NAME=
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# AZURE_OPENAI_API_VERSION=
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# AZURE_OPENAI_API_COMPLETIONS_DEPLOYMENT_NAME=
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# AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME=
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# AZURE_OPENAI_DEFAULT_MODEL=gpt-3.5-turbo # Deprecated
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# AZURE_OPENAI_MODELS=gpt-3.5-turbo,gpt-4 # Deprecated
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# AZURE_USE_MODEL_AS_DEPLOYMENT_NAME=TRUE # Deprecated
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# AZURE_API_KEY= # Deprecated
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# AZURE_OPENAI_API_INSTANCE_NAME= # Deprecated
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# AZURE_OPENAI_API_DEPLOYMENT_NAME= # Deprecated
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# AZURE_OPENAI_API_VERSION= # Deprecated
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# AZURE_OPENAI_API_COMPLETIONS_DEPLOYMENT_NAME= # Deprecated
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# AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME= # Deprecated
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# PLUGINS_USE_AZURE="true" # Deprecated
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#============#
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# BingAI #
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