# my librechat.yaml

# Configuration version (required)
version: 1.0.1

# Cache settings: Set to true to enable caching
cache: true

# Definition of custom endpoints
endpoints:
  custom:
    # Mistral AI API
    - 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.ai Example
    - name: "OpenRouter"
      # For `apiKey` and `baseURL`, you can use environment variables that you define.
      # recommended environment variables:
      # Known issue: you should not use `OPENROUTER_API_KEY` as it will then override the `openAI` endpoint to use OpenRouter as well.
      apiKey: "${OPENROUTER_KEY}"
      baseURL: "https://openrouter.ai/api/v1"
      models:
        default: ["gpt-3.5-turbo"]
        fetch: true
      titleConvo: true
      titleModel: "mixtral-8x7b-instruct"
      summarize: false
      summaryModel: "gpt-3.5-turbo"
      forcePrompt: false
      modelDisplayLabel: "OpenRouter"

# See the Custom Configuration Guide for more information:
# https://docs.librechat.ai/install/configuration/custom_config.html

# my .env

OPENAI_API_KEY=REDACTED
# OPENAI_MODELS=gpt-3.5-turbo-1106,gpt-4-1106-preview,gpt-3.5-turbo,gpt-3.5-turbo-16k,gpt-3.5-turbo-0301,gpt-4,gpt-4-0314,gpt-4-0613

DEBUG_OPENAI=false

# TITLE_CONVO=false
# OPENAI_TITLE_MODEL=gpt-3.5-turbo

# OPENAI_SUMMARIZE=true
# OPENAI_SUMMARY_MODEL=gpt-3.5-turbo

# OPENAI_FORCE_PROMPT=true

# OPENAI_REVERSE_PROXY=

# OPENAI_ORGANIZATION= 

OPENROUTER_KEY=REDACTED