librechat.yaml

# Configuration version (required)
version: 1.0.0

# 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_mode: 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.
      dropParams: ["stop", "temperature", "top_p"]
      # - stop # dropped since it's not recognized by Mistral AI API
      # `temperature` and `top_p` are removed to allow Mistral AI API defaults to be used:
      # - temperature
      # - top_p

    # 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: ["nousresearch/nous-capybara-7b:free", "mistralai/mistral-7b-instruct:free", "huggingfaceh4/zephyr-7b-beta:free", "openchat/openchat-7b:free", "gryphe/mythomist-7b:free", "undi95/toppy-m-7b:free", "openrouter/cinematika-7b:free", "openrouter/auto", "nousresearch/nous-capybara-7b", "mistralai/mistral-7b-instruct", "huggingfaceh4/zephyr-7b-beta", "openchat/openchat-7b", "gryphe/mythomist-7b", "openrouter/cinematika-7b", "rwkv/rwkv-5-world-3b", "recursal/rwkv-5-3b-ai-town", "jondurbin/bagel-34b", "jebcarter/psyfighter-13b", "koboldai/psyfighter-13b-2", "neversleep/noromaid-mixtral-8x7b-instruct", "nousresearch/nous-hermes-llama2-13b", "meta-llama/codellama-34b-instruct", "phind/phind-codellama-34b", "intel/neural-chat-7b", "nousresearch/nous-hermes-2-mixtral-8x7b-dpo", "nousresearch/nous-hermes-2-mixtral-8x7b-sft", "haotian-liu/llava-13b", "nousresearch/nous-hermes-2-vision-7b", "meta-llama/llama-2-13b-chat", "gryphe/mythomax-l2-13b", "nousresearch/nous-hermes-llama2-70b", "teknium/openhermes-2-mistral-7b", "teknium/openhermes-2.5-mistral-7b", "undi95/remm-slerp-l2-13b", "undi95/toppy-m-7b", "01-ai/yi-34b-chat", "01-ai/yi-34b", "01-ai/yi-6b", "togethercomputer/stripedhyena-nous-7b", "togethercomputer/stripedhyena-hessian-7b", "mistralai/mixtral-8x7b", "nousresearch/nous-hermes-yi-34b", "open-orca/mistral-7b-openorca", "openai/gpt-3.5-turbo", "openai/gpt-3.5-turbo-1106", "openai/gpt-3.5-turbo-16k", "openai/gpt-4-1106-preview", "openai/gpt-4", "openai/gpt-4-32k", "openai/gpt-4-vision-preview", "openai/gpt-3.5-turbo-instruct", "google/palm-2-chat-bison", "google/palm-2-codechat-bison", "google/palm-2-chat-bison-32k", "google/palm-2-codechat-bison-32k", "google/gemini-pro", "google/gemini-pro-vision", "perplexity/pplx-70b-online", "perplexity/pplx-7b-online", "perplexity/pplx-7b-chat", "perplexity/pplx-70b-chat", "meta-llama/llama-2-70b-chat", "nousresearch/nous-capybara-34b", "jondurbin/airoboros-l2-70b", "austism/chronos-hermes-13b", "migtissera/synthia-70b", "pygmalionai/mythalion-13b", "undi95/remm-slerp-l2-13b-6k", "xwin-lm/xwin-lm-70b", "gryphe/mythomax-l2-13b-8k", "alpindale/goliath-120b	", "lizpreciatior/lzlv-70b-fp16-hf", "neversleep/noromaid-20b", "mistralai/mixtral-8x7b-instruct", "cognitivecomputations/dolphin-mixtral-8x7b", "anthropic/claude-2", "anthropic/claude-2.0", "anthropic/claude-instant-v1", "mancer/weaver", "mistralai/mistral-tiny", "mistralai/mistral-small", "mistralai/mistral-medium"]
        fetch: true
      titleConvo: true
      titleModel: "gpt-3.5-turbo"
      summarize: false
      summaryModel: "gpt-3.5-turbo"
      forcePrompt: false
      modelDisplayLabel: "OpenRouter"

    - name: "Reverse Proxy"
      # 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: "user_provided"
      baseURL: "user_provided"
      models:
        default: ["gpt-3.5-turbo"]
        fetch: true
      titleConvo: true
      titleModel: "gpt-3.5-turbo"
      summarize: false
      summaryModel: "gpt-3.5-turbo"
      forcePrompt: false
      modelDisplayLabel: "AI"

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