{
  "$schema": "../schema.json",
  "name": "Flowise AI",
  "available": true,
  "exposable": true,
  "port": 8009,
  "id": "flowise",
  "tipi_version": 14,
  "version": "1.7.2",
  "categories": [
    "ai",
    "automation"
  ],
  "description": "Flowise AI is an Open source UI visual tool to build your customized LLM ochestration flow & AI agents. Developing LLM apps takes countless iterations. With low code approach, Flowise AI enable quick iterations to go from testing to production.",
  "short_desc": "Build LLM Apps Easily",
  "author": "flowise.ai",
  "source": "https://github.com/FlowiseAI/Flowise",
  "website": "https://flowiseai.com/",
  "form_fields": [
    {
      "type": "text",
      "label": "Flowise Username",
      "max": 50,
      "min": 3,
      "required": true,
      "env_variable": "FLOWISE_USERNAME"
    },
    {
      "type": "password",
      "label": "Flowise Password",
      "max": 50,
      "min": 12,
      "required": true,
      "env_variable": "FLOWISE_PASSWORD"
    },
    {
      "type": "random",
      "label": "Flowise Secret",
      "min": 16,
      "env_variable": "FLOWISE_SECRETKEY_OVERWRITE"
    },
    {
      "type": "url",
      "label": "(Optional) Langchain Endpoint",
      "hint": "URL of your langhchain endpoint",
      "required": false,
      "env_variable": "LANGCHAIN_ENDPOINT"
    },
    {
      "type": "password",
      "label": "(Optional) Langchain API Key",
      "max": 50,
      "min": 3,
      "required": false,
      "env_variable": "LANGCHAIN_API_KEY"
    },
    {
      "type": "text",
      "label": "(Optional) Langchain Project",
      "max": 50,
      "min": 3,
      "required": false,
      "env_variable": "LANGCHAIN_PROJECT"
    },
    {
      "type": "boolean",
      "label": "Enable Langchain Tracing v2",
      "required": false,
      "env_variable": "LANGCHAIN_TRACING_V2"
    },
    {
      "type": "boolean",
      "label": "Disable Flowise telemetry",
      "required": false,
      "env_variable": "DISABLE_FLOWISE_TELEMETRY"
    }
  ],
  "supported_architectures": [
    "arm64",
    "amd64"
  ]
}
