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| # ## | |
| # | |
| # [DANGER] | |
| # The example file here is outdated, | |
| # please visit the official documentation to get the latest configuration file example. | |
| # | |
| # 🔗 https://wibus-wee.github.io/raycast-unblock/ | |
| # | |
| # [WARNING] | |
| # The example file here only keeps the minimum available configuration, | |
| # please refer to the official documentation for more configuration items. | |
| # ## | |
| [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 = "local" | |
| 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 = '192.168.3.2' | |
| # # 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] | |
| apyHub_api_key = "APYHUB_API_KEY" | |
| # 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 = "OPENAI_BASE_URL" | |
| api_key = "OPENAI_API_KEY" | |
| # 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 = "GEMINI_API_KEY" | |
| # temperature = 0.5 | |
| # max_tokens = 100 | |
| [AI.Cohere] | |
| type = "api" | |
| api_key = "COHERE_API_KEY" | |
| # temperature = 0.5 | |
| # max_tokens = 100 | |
| [Translate] | |
| # You can choose the default translation service from the following: | |
| # shortcut, deeplx, ai, libretranslate, google | |
| # Default: deeplx | |
| default = "deeplx" | |
| # Maybe one day there will be a [Translate.Shortcuts] configuration here... | |
| # [Translate.Shortcuts] | |
| [Translate.DeepLX] | |
| # proxy_endpoints = [] | |
| # access_tokens = [] | |
| [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 = "" | |
| [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 |