Create config.toml
Browse files- config.toml +179 -0
config.toml
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# ##
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#
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# [DANGER]
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# The example file here is outdated,
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# please visit the official documentation to get the latest configuration file example.
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#
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# 🔗 https://wibus-wee.github.io/raycast-unblock/
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#
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# [WARNING]
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# The example file here only keeps the minimum available configuration,
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# please refer to the official documentation for more configuration items.
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# ##
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[General]
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# If you deploy this service on a remote server,
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# it is recommended to set mode to "remote", maybe one day this program will be used
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# and you **should** set host to "0.0.0.0", or you can't access the service from the outside
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mode = "remote"
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port = 3000
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host = "0.0.0.0"
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# If there are some problems, you can set debug & logger to true
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debug = false
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# Fastify Logger
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logger = false
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# If you want the service to listen to the changes of the configuration file and update automatically,
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# you can set watch to true
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watch = false
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[General.Https]
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# If you want to use HTTPS, you can set the following configuration
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# enabled = true
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# # You can specify the host to the certificate file (auto generate mode)
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# host = '192.168.3.2'
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# # You can also specify the path to your existing certificate file
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# key = "path
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# cert = "path"
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# ca = "path"
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[AI]
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default = "openai"
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# If the parameter is not set in the specific AI service,
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# this value will be used
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# For example:
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# If I don't set the temperature parameter in AI.OpenAI, this value will be used
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# But if I set the temperature parameter in AI.Gemini, the temperature parameter in AI.Gemini will be used
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# temperature = 0.5
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# max_tokens = 100
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[AI.Functions]
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# You should enter plugin IDs that you want to enable here.
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# The following plugins are supported:
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# serp, web_search
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# You can go to src/features/ai/functionsCall to see more details.
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plugins = [
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'serp',
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'web_search'
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]
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[AI.Functions.Serp]
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apyHub_api_key = "APY04V154epVA7X87TSe6OmYnPTMr58CyTExbPzUAnaFg7t2YcY46YqRMfNPDZAJQ0V5CQbuGilK6r"
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# tavily_ai_api_key = "" # Tavily currently doesn't support.
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[AI.OpenAI]
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# If the default model is not set,
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# or...
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# if the default model is set,
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# but the specific AI service's model is not set,
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# the default model written in the code will be used
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# default = "gpt-3.5-turbo-16k.legacy"
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# You can edit the base_url if you want to use the custom OpenAI server
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base_url = "https://api.smgc.cc/v1"
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api_key = "sk-uFCx2OYWLKJaHtfy7b0cBc517f3c4cF5A1279c855f9f6aE6"
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# if you'd like to use azure openai
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# is_azure = true
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# base_url = "https://<resource_name>.openai.azure.com"
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# azure_deployment_name = "YOUR_AZURE_DEPLOYMENT_ID" # if not provided, use req.body.model
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# If the parameter is set in the specific AI service
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# this value will be used, and it has the highest priority
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# temperature = 0.5
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# max_tokens = 100
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# Custom OpenAI Model
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# You can add your own OpenAI model just like the following:
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# # [NOTICE] You shouldn't use the dot in the model name. It will be parsed as a section
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[AI.OpenAI.Models.GPT4]
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id = "gpt-4-0125-preview" # if it's not provided, it will be generated from the Object key. For example, here it will be "gpt4"
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model = "gpt-4-0125-preview" # if it's not provided, it will be generated from the Object key.
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name = "GPT-4 (Preview)" # if it's not provided, it will be generated from the Object key.
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description = "GPT-4 is OpenAI’s most capable model with broad general knowledge, allowing it to follow complex instructions and solve difficult problems.\n"
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# speed = 3 # if it's not provided, the default value will be used.
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# intelligence = 3 # if it's not provided, the default value will be used.
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# context = 8 # if it's not provided, the default value will be used.
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# status = "beta"
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# [AI.OpenAI.Models.GPT4.Capabilities] # Features control
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# image_generation = true # Not supported yet
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# web_search = true # The premise is that the model needs to support Function Call.
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[AI.OpenAI.Models.GPT4-TURBO]
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id = "gpt-4-turbo"
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model = "gpt-4-turbo"
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name = "GPT-4 (Turbo)"
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description = "GPT-4-Trubo is OpenAI’s most capable model with broad general knowledge, allowing it to follow complex instructions and solve difficult problems.\n"
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# speed = 3 # if it's not provided, the default value will be used.
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# intelligence = 3 # if it's not provided, the default value will be used.
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# context = 8 # if it's not provided, the default value will be used.
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# status = "beta"
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# [AI.OpenAI.Models.GPT4.Capabilities] # Features control
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# image_generation = true # Not supported yet
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web_search = true
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[AI.OpenAI.Models.GPT4o]
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id = "gpt-4o" # if it's not provided, it will be generated from the Object key. For example, here it will be "gpt4"
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model = "gpt-4o" # if it's not provided, it will be generated from the Object key.
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name = "GPT-4o" # if it's not provided, it will be generated from the Object key.
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description = "GPT-4o is OpenAI’s most capable model with broad general knowledge, allowing it to follow complex instructions and solve difficult problems.\n"
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# speed = 3 # if it's not provided, the default value will be used.
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# intelligence = 3 # if it's not provided, the default value will be used.
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# context = 8 # if it's not provided, the default value will be used.
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# status = "beta"
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# [AI.OpenAI.Models.GPT4.Capabilities] # Features control
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# image_generation = true # Not supported yet
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# web_search = true # The premise is that the model needs to support Function Call.
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[AI.Groq]
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# refresh_token = '<your refresh token>'
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# temperature = 0.5
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# max_tokens = 100
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[AI.Gemini]
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api_key = ""
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# temperature = 0.5
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# max_tokens = 100
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[AI.Cohere]
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email = ""
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password = ""
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[Translate]
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# You can choose the default translation service from the following:
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# shortcut, deeplx, ai, libretranslate, google
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# Default: deeplx
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default = "deeplx"
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# Maybe one day there will be a [Translate.Shortcuts] configuration here...
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# [Translate.Shortcuts]
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[Translate.DeepLX]
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# proxy_endpoints = []
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# access_tokens = []
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[Translate.AI]
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# If the default model is not set,
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# or...
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# if the default model is set,
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# but the specific AI service's model is not set,
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# the default model written in the code will be used
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# Default: openai
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default = "openai"
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# The model used by the AI service
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# (only effective for openai, groq)
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# Default: gpt-3.5-turbo
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model = "gpt-3.5-turbo"
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[Translate.LibreTranslate]
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base_url = "https://libretranslate.com"
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# You can choose the type from the following:
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# reserve, api
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# Default: reserve
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type = "reserve"
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# If you choose api, you should set the api_key
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api_key = ""
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[Sync]
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# The location of the sync file, default is "icloud", and you can also set it to "local"
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# # The iCloud storage solution is only effective when deployed on the macOS client
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# # **iCloud storage solution** is the *default* option in *macOS* deployments
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type = "icloud" # icloud / local
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