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d20970f5c5
* chore: fix `endpoint` typescript issues and typo in console info message * feat(api): files GET endpoint and save only file_id references to messages * refactor(client): `useGetFiles` query hook, update file types, optimistic update of filesQuery on file upload * refactor(buildTree): update to use params object and accept fileMap * feat: map files to messages; refactor(ChatView): messages only available after files are fetched * fix: fetch files only when authenticated * feat(api): AppService - rename app.locals.configs to app.locals.paths - load custom config use fileStrategy from yaml config in app.locals * refactor: separate Firebase and Local strategies, call based on config * refactor: modularize file strategies and employ with use of DALL-E * refactor(librechat.yaml): add fileStrategy field * feat: add source to MongoFile schema, as well as BatchFile, and ExtendedFile types * feat: employ file strategies for upload/delete files * refactor(deleteFirebaseFile): add user id validation for firebase file deletion * chore(deleteFirebaseFile): update jsdocs * feat: employ strategies for vision requests * fix(client): handle messages with deleted files * fix(client): ensure `filesToDelete` always saves/sends `file.source` * feat(openAI): configurable `resendImages` and `imageDetail` * refactor(getTokenCountForMessage): recursive process only when array of Objects and only their values (not keys) aside from `image_url` types * feat(OpenAIClient): calculateImageTokenCost * chore: remove comment * refactor(uploadAvatar): employ fileStrategy for avatars, from social logins or user upload * docs: update docs on how to configure fileStrategy * fix(ci): mock winston and winston related modules, update DALLE3.spec.js with changes made * refactor(redis): change terminal message to reflect current development state * fix(DALL-E-2): pass fileStrategy to dall-e
76 lines
2.9 KiB
YAML
76 lines
2.9 KiB
YAML
# Configuration version (required)
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version: 1.0.1
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# Cache settings: Set to true to enable caching
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cache: true
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# Definition of custom endpoints
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endpoints:
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custom:
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# Mistral AI API
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- name: "Mistral" # Unique name for the endpoint
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# For `apiKey` and `baseURL`, you can use environment variables that you define.
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# recommended environment variables:
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apiKey: "${MISTRAL_API_KEY}"
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baseURL: "https://api.mistral.ai/v1"
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# Models configuration
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models:
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# List of default models to use. At least one value is required.
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default: ["mistral-tiny", "mistral-small", "mistral-medium"]
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# Fetch option: Set to true to fetch models from API.
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fetch: true # Defaults to false.
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# Optional configurations
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# Title Conversation setting
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titleConvo: true # Set to true to enable title conversation
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# Title Method: Choose between "completion" or "functions".
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titleMethod: "completion" # Defaults to "completion" if omitted.
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# Title Model: Specify the model to use for titles.
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titleModel: "mistral-tiny" # Defaults to "gpt-3.5-turbo" if omitted.
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# Summarize setting: Set to true to enable summarization.
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summarize: false
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# Summary Model: Specify the model to use if summarization is enabled.
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summaryModel: "mistral-tiny" # Defaults to "gpt-3.5-turbo" if omitted.
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# Force Prompt setting: If true, sends a `prompt` parameter instead of `messages`.
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forcePrompt: false
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# The label displayed for the AI model in messages.
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modelDisplayLabel: "Mistral" # Default is "AI" when not set.
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# Add additional parameters to the request. Default params will be overwritten.
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addParams:
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safe_mode: true # This field is specific to Mistral AI: https://docs.mistral.ai/api/
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# Drop Default params parameters from the request. See default params in guide linked below.
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dropParams: ["stop", "temperature", "top_p"]
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# - stop # dropped since it's not recognized by Mistral AI API
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# `temperature` and `top_p` are removed to allow Mistral AI API defaults to be used:
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# - temperature
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# - top_p
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# OpenRouter.ai Example
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- name: "OpenRouter"
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# For `apiKey` and `baseURL`, you can use environment variables that you define.
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# recommended environment variables:
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# Known issue: you should not use `OPENROUTER_API_KEY` as it will then override the `openAI` endpoint to use OpenRouter as well.
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apiKey: "${OPENROUTER_KEY}"
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baseURL: "https://openrouter.ai/api/v1"
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models:
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default: ["gpt-3.5-turbo"]
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fetch: true
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titleConvo: true
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titleModel: "gpt-3.5-turbo"
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summarize: false
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summaryModel: "gpt-3.5-turbo"
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forcePrompt: false
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modelDisplayLabel: "OpenRouter"
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# See the Custom Configuration Guide for more information:
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# https://docs.librechat.ai/install/configuration/custom_config.html
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