Delete config.toml

config.toml

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-[General]
-# If you deploy this service on a remote server,
-# it is recommended to set mode to "remote", maybe one day this program will be used
-# and you **should** set host to "0.0.0.0", or you can't access the service from the outside
-mode = "remote"
-port = 3000
-host = "0.0.0.0"
-# If there are some problems, you can set debug & logger to true
-debug = false
-# Fastify Logger
-logger = false
-# If you want the service to listen to the changes of the configuration file and update automatically,
-# you can set watch to true
-watch = false
-
-[General.Https]
-# If you want to use HTTPS, you can set the following configuration
-# enabled = true
-# # You can specify the host to the certificate file (auto generate mode)
-# host = '192.168.110.254'
-# # You can also specify the path to your existing certificate file
-# key = "path
-# cert = "path"
-# ca = "path"
-
-[AI]
-default = "openai"
-# If the parameter is not set in the specific AI service,
-# this value will be used
-# For example:
-#    If I don't set the temperature parameter in AI.OpenAI, this value will be used
-#    But if I set the temperature parameter in AI.Gemini, the temperature parameter in AI.Gemini will be used
-# temperature = 0.5
-# max_tokens = 100
-
-[AI.Functions]
-# You should enter plugin IDs that you want to enable here.
-# The following plugins are supported:
-# serp, web_search
-# You can go to src/features/ai/functionsCall to see more details.
-plugins = [
-  'serp',
-  'web_search'
-]
-
-[AI.Functions.Serp]
-apiHub_api_key = "APY04V154epVA7X87TSe6OmYnPTMr58CyTExbPzUAnaFg7t2YcY46YqRMfNPDZAJQ0V5CQbuGilK6r"
-# tavily_ai_api_key = "" # Tavily currently doesn't support.
-
-[AI.OpenAI]
-# If the default model is not set,
-# or...
-# if the default model is set,
-# but the specific AI service's model is not set,
-# the default model written in the code will be used
-# default = "gpt-3.5-turbo-16k.legacy"
-# You can edit the base_url if you want to use the custom OpenAI server
-base_url = "https://api.smgc.cc/v1"
-api_key = "sk-uFCx2OYWLKJaHtfy7b0cBc517f3c4cF5A1279c855f9f6aE6"
-
-# if you'd like to use azure openai
-# is_azure = true
-# base_url = "https://<resource_name>.openai.azure.com"
-# azure_deployment_name = "YOUR_AZURE_DEPLOYMENT_ID" # if not provided, use req.body.model
-
-# If the parameter is set in the specific AI service
-# this value will be used, and it has the highest priority
-# temperature = 0.5
-# max_tokens = 100
-
-# Custom OpenAI Model
-# You can add your own OpenAI model just like the following:
-# # [NOTICE] You shouldn't use the dot in the model name. It will be parsed as a section
-[AI.OpenAI.Models.GPT4P]
-id = "openai-gpt-4-preview" # if it's not provided, it will be generated from the Object key. For example, here it will be "gpt4"
-model = "gpt-4-preview" # if it's not provided, it will be generated from the Object key.
-name = "GPT-4 Preview" # if it's not provided, it will be generated from the Object key.
-description = "GPT-4 Preview from OpenAI has a big context window that fits hundreds of pages of text, making it a great choice for workloads that involve longer prompts.\n"
-# speed = 3  # if it's not provided, the default value will be used.
-# intelligence = 3  # if it's not provided, the default value will be used.
-# context = 8  # if it's not provided, the default value will be used.
-# status = "beta"
-# [AI.OpenAI.Models.GPT4.Capabilities] # Features control
-# image_generation = true # Not supported yet
-# web_search = true # The premise is that the model needs to support Function Call.
-
-[AI.OpenAI.Models.GPT4T]
-id = "openai-gpt-4-turbo" # if it's not provided, it will be generated from the Object key. For example, here it will be "gpt4"
-model = "gpt-4-turbo" # if it's not provided, it will be generated from the Object key.
-name = "GPT-4 Turbo" # if it's not provided, it will be generated from the Object key.
-description = "GPT-4 Turbo from OpenAI has a big context window that fits hundreds of pages of text, making it a great choice for workloads that involve longer prompts.\n"
-# speed = 3  # if it's not provided, the default value will be used.
-# intelligence = 3  # if it's not provided, the default value will be used.
-# context = 8  # if it's not provided, the default value will be used.
-# status = "beta"
-# [AI.OpenAI.Models.GPT4.Capabilities] # Features control
-# image_generation = true # Not supported yet
-# web_search = true # The premise is that the model needs to support Function Call.
-
-[AI.OpenAI.Models.GPT4o]
-id = "openai-gpt-4o" # if it's not provided, it will be generated from the Object key. For example, here it will be "gpt4"
-model = "gpt-4o" # if it's not provided, it will be generated from the Object key.
-name = "GPT-4o" # if it's not provided, it will be generated from the Object key.
-description = "GPT-4o is the most advanced and fastest model from OpenAI, making it a great choice for complex everyday problems and deeper conversations.\n"
-# speed = 3  # if it's not provided, the default value will be used.
-# intelligence = 3  # if it's not provided, the default value will be used.
-# context = 8  # if it's not provided, the default value will be used.
-# status = "beta"
-# [AI.OpenAI.Models.GPT4.Capabilities] # Features control
-# image_generation = true # Not supported yet
-# web_search = true # The premise is that the model needs to support Function Call.
-
-[AI.Groq]
-# refresh_token = '<your refresh token>'
-# temperature = 0.5
-# max_tokens = 100
-
-[AI.Gemini]
-api_key = ""
-# temperature = 0.5
-# max_tokens = 100
-
-[AI.Cohere]
-email = ""
-password = ""
-
-[Translate]
-# You can choose the default translation service from the following:
-# shortcut, deeplx, ai, libretranslate
-# Default: deeplx
-default = "ai"
-
-# Maybe one day there will be a [Translate.Shortcuts] configuration here...
-# [Translate.Shortcuts]
-
-[Translate.DeepLX]
-# proxy_endpoint = ""
-# access_token = ""
-
-[Translate.AI]
-# If the default model is not set,
-# or...
-# if the default model is set,
-# but the specific AI service's model is not set,
-# the default model written in the code will be used
-# Default: openai
-default = "openai"
-# The model used by the AI service
-# (only effective for openai, groq)
-# Default: gpt-3.5-turbo
-model = "gpt-3.5-turbo"
-
-[Translate.LibreTranslate]
-base_url = "https://libretranslate.com"
-# You can choose the type from the following:
-# reserve, api
-# Default: reserve
-type = "reserve"
-# If you choose api, you should set the api_key
-api_key = ""
-# The following is for the legacy configuration
-# They will be removed in the future
-
-[Sync]
-# The location of the sync file, default is "icloud", and you can also set it to "local"
-# # The iCloud storage solution is only effective when deployed on the macOS client
-# # **iCloud storage solution** is the *default* option in *macOS* deployments
-type = "icloud" # icloud / local