LibreChat/librechat.example.yaml

240 lines
8.2 KiB
YAML

# For more information, see the Configuration Guide:
# https://www.librechat.ai/docs/configuration/librechat_yaml
# Configuration version (required)
version: 1.2.1
# Cache settings: Set to true to enable caching
cache: true
# Custom interface configuration
interface:
customWelcome: "Welcome to LibreChat! Enjoy your experience."
# Privacy policy settings
privacyPolicy:
externalUrl: 'https://librechat.ai/privacy-policy'
openNewTab: true
# Terms of service
termsOfService:
externalUrl: 'https://librechat.ai/tos'
openNewTab: true
modalAcceptance: true
modalTitle: "Terms of Service for LibreChat"
endpointsMenu: true
modelSelect: true
parameters: true
sidePanel: true
presets: true
prompts: true
bookmarks: true
multiConvo: true
agents: true
# Example Registration Object Structure (optional)
registration:
socialLogins: ['github', 'google', 'discord', 'openid', 'facebook', 'apple']
# allowedDomains:
# - "gmail.com"
# speech:
# tts:
# openai:
# url: ''
# apiKey: '${TTS_API_KEY}'
# model: ''
# voices: ['']
#
# stt:
# openai:
# url: ''
# apiKey: '${STT_API_KEY}'
# model: ''
# rateLimits:
# fileUploads:
# ipMax: 100
# ipWindowInMinutes: 60 # Rate limit window for file uploads per IP
# userMax: 50
# userWindowInMinutes: 60 # Rate limit window for file uploads per user
# conversationsImport:
# ipMax: 100
# ipWindowInMinutes: 60 # Rate limit window for conversation imports per IP
# userMax: 50
# userWindowInMinutes: 60 # Rate limit window for conversation imports per user
# Example Actions Object Structure
actions:
allowedDomains:
- "swapi.dev"
- "librechat.ai"
- "google.com"
# Example MCP Servers Object Structure
mcpServers:
everything:
# type: sse # type can optionally be omitted
url: http://localhost:3001/sse
timeout: 60000 # 1 minute timeout for this server, this is the default timeout for MCP servers.
puppeteer:
type: stdio
command: npx
args:
- -y
- "@modelcontextprotocol/server-puppeteer"
timeout: 300000 # 5 minutes timeout for this server
filesystem:
# type: stdio
command: npx
args:
- -y
- "@modelcontextprotocol/server-filesystem"
- /home/user/LibreChat/
iconPath: /home/user/LibreChat/client/public/assets/logo.svg
mcp-obsidian:
command: npx
args:
- -y
- "mcp-obsidian"
- /path/to/obsidian/vault
# Definition of custom endpoints
endpoints:
# assistants:
# disableBuilder: false # Disable Assistants Builder Interface by setting to `true`
# pollIntervalMs: 3000 # Polling interval for checking assistant updates
# timeoutMs: 180000 # Timeout for assistant operations
# # Should only be one or the other, either `supportedIds` or `excludedIds`
# supportedIds: ["asst_supportedAssistantId1", "asst_supportedAssistantId2"]
# # excludedIds: ["asst_excludedAssistantId"]
# Only show assistants that the user created or that were created externally (e.g. in Assistants playground).
# # privateAssistants: false # Does not work with `supportedIds` or `excludedIds`
# # (optional) Models that support retrieval, will default to latest known OpenAI models that support the feature
# retrievalModels: ["gpt-4-turbo-preview"]
# # (optional) Assistant Capabilities available to all users. Omit the ones you wish to exclude. Defaults to list below.
# capabilities: ["code_interpreter", "retrieval", "actions", "tools", "image_vision"]
# agents:
# (optional) Maximum recursion depth for agents, defaults to 25
# recursionLimit: 50
# (optional) Disable the builder interface for agents
# disableBuilder: false
# (optional) Agent Capabilities available to all users. Omit the ones you wish to exclude. Defaults to list below.
# capabilities: ["execute_code", "file_search", "actions", "tools"]
custom:
# Groq Example
- name: 'groq'
apiKey: '${GROQ_API_KEY}'
baseURL: 'https://api.groq.com/openai/v1/'
models:
default:
[
'llama3-70b-8192',
'llama3-8b-8192',
'llama2-70b-4096',
'mixtral-8x7b-32768',
'gemma-7b-it',
]
fetch: false
titleConvo: true
titleModel: 'mixtral-8x7b-32768'
modelDisplayLabel: 'groq'
# Mistral AI Example
- name: 'Mistral' # Unique name for the endpoint
# For `apiKey` and `baseURL`, you can use environment variables that you define.
# recommended environment variables:
apiKey: '${MISTRAL_API_KEY}'
baseURL: 'https://api.mistral.ai/v1'
# Models configuration
models:
# List of default models to use. At least one value is required.
default: ['mistral-tiny', 'mistral-small', 'mistral-medium']
# Fetch option: Set to true to fetch models from API.
fetch: true # Defaults to false.
# Optional configurations
# Title Conversation setting
titleConvo: true # Set to true to enable title conversation
# Title Method: Choose between "completion" or "functions".
# titleMethod: "completion" # Defaults to "completion" if omitted.
# Title Model: Specify the model to use for titles.
titleModel: 'mistral-tiny' # Defaults to "gpt-3.5-turbo" if omitted.
# Summarize setting: Set to true to enable summarization.
# summarize: false
# Summary Model: Specify the model to use if summarization is enabled.
# summaryModel: "mistral-tiny" # Defaults to "gpt-3.5-turbo" if omitted.
# Force Prompt setting: If true, sends a `prompt` parameter instead of `messages`.
# forcePrompt: false
# The label displayed for the AI model in messages.
modelDisplayLabel: 'Mistral' # Default is "AI" when not set.
# Add additional parameters to the request. Default params will be overwritten.
# addParams:
# safe_prompt: true # This field is specific to Mistral AI: https://docs.mistral.ai/api/
# Drop Default params parameters from the request. See default params in guide linked below.
# NOTE: For Mistral, it is necessary to drop the following parameters or you will encounter a 422 Error:
dropParams: ['stop', 'user', 'frequency_penalty', 'presence_penalty']
# OpenRouter Example
- name: 'OpenRouter'
# For `apiKey` and `baseURL`, you can use environment variables that you define.
# recommended environment variables:
apiKey: '${OPENROUTER_KEY}'
baseURL: 'https://openrouter.ai/api/v1'
models:
default: ['meta-llama/llama-3-70b-instruct']
fetch: true
titleConvo: true
titleModel: 'meta-llama/llama-3-70b-instruct'
# Recommended: Drop the stop parameter from the request as Openrouter models use a variety of stop tokens.
dropParams: ['stop']
modelDisplayLabel: 'OpenRouter'
# Portkey AI Example
- name: "Portkey"
apiKey: "dummy"
baseURL: 'https://api.portkey.ai/v1'
headers:
x-portkey-api-key: '${PORTKEY_API_KEY}'
x-portkey-virtual-key: '${PORTKEY_OPENAI_VIRTUAL_KEY}'
models:
default: ['gpt-4o-mini', 'gpt-4o', 'chatgpt-4o-latest']
fetch: true
titleConvo: true
titleModel: 'current_model'
summarize: false
summaryModel: 'current_model'
forcePrompt: false
modelDisplayLabel: 'Portkey'
iconURL: https://images.crunchbase.com/image/upload/c_pad,f_auto,q_auto:eco,dpr_1/rjqy7ghvjoiu4cd1xjbf
# fileConfig:
# endpoints:
# assistants:
# fileLimit: 5
# fileSizeLimit: 10 # Maximum size for an individual file in MB
# totalSizeLimit: 50 # Maximum total size for all files in a single request in MB
# supportedMimeTypes:
# - "image/.*"
# - "application/pdf"
# openAI:
# disabled: true # Disables file uploading to the OpenAI endpoint
# default:
# totalSizeLimit: 20
# YourCustomEndpointName:
# fileLimit: 2
# fileSizeLimit: 5
# serverFileSizeLimit: 100 # Global server file size limit in MB
# avatarSizeLimit: 2 # Limit for user avatar image size in MB
# See the Custom Configuration Guide for more information on Assistants Config:
# https://www.librechat.ai/docs/configuration/librechat_yaml/object_structure/assistants_endpoint