{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "type": "object",
  "properties": {
    "connections": {
      "default": {},
      "description": "The LLeMbas server this machine is logged in to, as `lembas login` writes it: its address and this machine's token. Its models come from it at every start.",
      "type": "object",
      "propertyNames": {
        "type": "string"
      },
      "additionalProperties": {
        "type": "object",
        "properties": {
          "type": {
            "type": "string",
            "const": "webui",
            "description": "A LLeMbas instance: its models, their settings, its voice and its web search."
          },
          "url": {
            "type": "string",
            "description": "The instance's address, e.g. https://ai.example.org (no /v1)."
          },
          "api_key": {
            "description": "This machine's token, as login wrote it: {file:~/.config/lembas/lembas/<name>.key}.",
            "type": "string"
          },
          "tls": {
            "description": "For an instance behind a private CA: `ca`, the PEM file that signed its certificate.",
            "type": "object",
            "properties": {
              "ca": {
                "type": "string"
              },
              "insecure": {
                "type": "boolean"
              }
            },
            "additionalProperties": false
          },
          "timeout": {
            "description": "Seconds of silence allowed in a reply, as for any connection (default 600).",
            "type": "number",
            "exclusiveMinimum": 0
          },
          "quirks": {
            "description": "Server oddities; auto is right almost always.",
            "type": "object",
            "properties": {
              "stream_usage": {
                "description": "Ask for token usage in the stream (stream_options); auto learns when a server refuses it.",
                "type": "string",
                "enum": [
                  "auto",
                  "on",
                  "off"
                ]
              },
              "prompt_progress": {
                "description": "Ask how far the server is through reading the prompt (llama.cpp's return_progress), shown while it reads; auto learns when a server refuses it, and one that ignores it shows nothing.",
                "type": "string",
                "enum": [
                  "auto",
                  "on",
                  "off"
                ]
              },
              "think_tags": {
                "description": "<think>…</think> in a reply is taken as reasoning; off leaves it as text.",
                "type": "string",
                "enum": [
                  "auto",
                  "on",
                  "off"
                ]
              },
              "max_tokens_field": {
                "description": "OpenAI reasoning models refuse `max_tokens`; most local servers only know it.",
                "type": "string",
                "enum": [
                  "max_tokens",
                  "max_completion_tokens"
                ]
              }
            },
            "additionalProperties": false
          },
          "models": {
            "description": "Only to change what the instance says about a model, here: each entry goes over the instance's. Usually absent.",
            "type": "object",
            "propertyNames": {
              "type": "string"
            },
            "additionalProperties": {
              "type": "object",
              "properties": {
                "name": {
                  "description": "A display name; the id is what is sent.",
                  "type": "string"
                },
                "family": {
                  "description": "Picks the prompt overlay: anthropic | gpt | gemini | local. Guessed from the id when absent.",
                  "type": "string"
                },
                "context": {
                  "description": "Total context window in tokens. 0 / absent = unknown: no percentage, no auto-compaction.",
                  "type": "integer",
                  "minimum": 0,
                  "maximum": 9007199254740991
                },
                "max_output": {
                  "description": "Max tokens per reply.",
                  "type": "integer",
                  "exclusiveMinimum": 0,
                  "maximum": 9007199254740991
                },
                "temperature": {
                  "description": "Sampling temperature; absent = the server's default.",
                  "type": "number",
                  "minimum": 0,
                  "maximum": 2
                },
                "top_p": {
                  "description": "Nucleus sampling; absent = the server's default.",
                  "type": "number",
                  "minimum": 0,
                  "maximum": 1
                },
                "efforts": {
                  "description": "The model's own effort vocabulary, in offering order.",
                  "type": "array",
                  "items": {
                    "type": "string",
                    "enum": [
                      "minimal",
                      "low",
                      "medium",
                      "high",
                      "xhigh",
                      "max"
                    ]
                  }
                },
                "effort": {
                  "description": "Default effort; `off` sends none.",
                  "anyOf": [
                    {
                      "type": "string",
                      "enum": [
                        "minimal",
                        "low",
                        "medium",
                        "high",
                        "xhigh",
                        "max"
                      ]
                    },
                    {
                      "type": "string",
                      "const": "off"
                    }
                  ]
                },
                "effort_style": {
                  "description": "Where the effort goes in a request: top-level, in chat_template_kwargs, or both (the default: llama.cpp drops top-level).",
                  "type": "string",
                  "enum": [
                    "top",
                    "kwargs",
                    "both"
                  ]
                },
                "vision": {
                  "description": "The model reads images: @image files, pasted paths and view_image.",
                  "type": "boolean"
                },
                "tools": {
                  "description": "false: a model without tool calls — it can only talk.",
                  "type": "boolean"
                },
                "headers": {
                  "description": "Extra HTTP headers for this model's requests.",
                  "type": "object",
                  "propertyNames": {
                    "type": "string"
                  },
                  "additionalProperties": {
                    "type": "string"
                  }
                },
                "body": {
                  "description": "Merged into every request body for this model.",
                  "type": "object",
                  "propertyNames": {
                    "type": "string"
                  },
                  "additionalProperties": {}
                },
                "notes": {
                  "description": "What this model is good at, in a line: the model in use is told which others there are, for handing work over (task) or switching.",
                  "type": "string",
                  "maxLength": 300
                },
                "single_session": {
                  "description": "The server serves one request at a time: a subagent on this same model would take its only slot and push the session's cached prompt out, so it is refused.",
                  "type": "boolean"
                },
                "group": {
                  "description": "Models sharing one GPU server that holds one model at a time (llama-swap), as the LLeMbas server says (capacity.group): a subagent on another model of the same group would unload this one, so it is refused.",
                  "type": "string"
                }
              },
              "additionalProperties": false
            }
          }
        },
        "required": [
          "type",
          "url"
        ],
        "additionalProperties": false
      }
    }
  },
  "additionalProperties": false,
  "title": "LLeMbas CLI connections.yaml",
  "description": "~/.config/lembas/connections.yaml: the LLeMbas server this machine is logged in to, as lembas login writes it. Global only."
}