LLeMbas CLI 2.0 is LLeMbas-server-specific (CLI rule 2). Removed: the anthropic, gemini, ollama and responses clients, context discovery and llama-swap unloading (discover.ts), the Connection schema with its dialect, auth, key_cmd, discover, unload_url and one_model_at_a_time, the model `fallback` (it only ever moved to another server), effort_map and cache, and the multi-connection refs. Kept: openai-chat, http, sse, think, effort, tokens and all of src/lembas. - connections.yaml holds the login (`type: webui`, as lembas login writes it). A custom entry from 1.x is read past with a warning that says how to log in, so an old file still starts; with several logins left, the latest is used and the others named. - A model's ref is the id the server serves it under; the older forms (`<login>/<id>`, `<login>/<model>`) still resolve and config.yaml is rewritten once. Without a login there is no model, and the error (and the first-run screen, now the sign-in alone) says `lembas login <address>`. - A login to another server signs this machine out of the previous one. - The window is the server's word (no discovery); a capacity group comes from the server's `capacity.group` alone; embeddings use the server's /v1/embeddings. - `lembas models` lists the server's models; install.sh's starter files, the README and the JSON schemas say the same. Tests: every fixture is a login now (the fake server lists models, answers other GETs with 404, and can hand one model to another script, as a server with several backends); the dialect suites and the cross-connection tests are gone with their code. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
229 lines
8.6 KiB
JSON
229 lines
8.6 KiB
JSON
{
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"$schema": "http://json-schema.org/draft-07/schema#",
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"type": "object",
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"properties": {
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"connections": {
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"default": {},
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"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.",
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"type": "object",
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"propertyNames": {
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"type": "string"
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},
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"additionalProperties": {
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"type": "object",
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"properties": {
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"type": {
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"type": "string",
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"const": "webui",
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"description": "A LLeMbas instance: its models, their settings, its voice and its web search."
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},
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"url": {
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"type": "string",
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"description": "The instance's address, e.g. https://ai.example.org (no /v1)."
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},
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"api_key": {
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"description": "This machine's token, as login wrote it: {file:~/.config/lembas/lembas/<name>.key}.",
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"type": "string"
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},
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"tls": {
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"description": "For an instance behind a private CA: `ca`, the PEM file that signed its certificate.",
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"type": "object",
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"properties": {
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"ca": {
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"type": "string"
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},
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"insecure": {
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"type": "boolean"
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}
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},
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"additionalProperties": false
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},
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"timeout": {
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"description": "Seconds of silence allowed in a reply, as for any connection (default 600).",
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"type": "number",
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"exclusiveMinimum": 0
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},
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"quirks": {
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"description": "Server oddities; auto is right almost always.",
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"type": "object",
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"properties": {
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"stream_usage": {
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"description": "Ask for token usage in the stream (stream_options); auto learns when a server refuses it.",
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"type": "string",
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"enum": [
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"auto",
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"on",
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"off"
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]
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},
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"prompt_progress": {
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"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.",
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"type": "string",
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"enum": [
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"auto",
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"on",
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"off"
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]
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},
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"think_tags": {
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"description": "<think>…</think> in a reply is taken as reasoning; off leaves it as text.",
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"type": "string",
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"enum": [
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"auto",
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"on",
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"off"
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]
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},
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"max_tokens_field": {
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"description": "OpenAI reasoning models refuse `max_tokens`; most local servers only know it.",
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"type": "string",
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"enum": [
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"max_tokens",
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"max_completion_tokens"
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]
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}
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},
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"additionalProperties": false
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},
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"models": {
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"description": "Only to change what the instance says about a model, here: each entry goes over the instance's. Usually absent.",
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"type": "object",
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"propertyNames": {
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"type": "string"
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},
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"additionalProperties": {
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"type": "object",
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"properties": {
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"name": {
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"description": "A display name; the id is what is sent.",
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"type": "string"
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},
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"family": {
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"description": "Picks the prompt overlay: anthropic | gpt | gemini | local. Guessed from the id when absent.",
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"type": "string"
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},
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"context": {
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"description": "Total context window in tokens. 0 / absent = unknown: no percentage, no auto-compaction.",
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"type": "integer",
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"minimum": 0,
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"maximum": 9007199254740991
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},
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"max_output": {
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"description": "Max tokens per reply.",
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"type": "integer",
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"exclusiveMinimum": 0,
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"maximum": 9007199254740991
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},
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"temperature": {
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"description": "Sampling temperature; absent = the server's default.",
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"type": "number",
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"minimum": 0,
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"maximum": 2
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},
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"top_p": {
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"description": "Nucleus sampling; absent = the server's default.",
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"type": "number",
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"minimum": 0,
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"maximum": 1
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},
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"efforts": {
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"description": "The model's own effort vocabulary, in offering order.",
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"type": "array",
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"items": {
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"type": "string",
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"enum": [
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"minimal",
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"low",
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"medium",
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"high",
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"xhigh",
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"max"
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]
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}
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},
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"effort": {
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"description": "Default effort; `off` sends none.",
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"anyOf": [
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{
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"type": "string",
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"enum": [
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"minimal",
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"low",
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"medium",
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"high",
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"xhigh",
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"max"
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]
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},
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{
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"type": "string",
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"const": "off"
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}
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]
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},
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"effort_style": {
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"description": "Where the effort goes in a request: top-level, in chat_template_kwargs, or both (the default: llama.cpp drops top-level).",
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"type": "string",
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"enum": [
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"top",
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"kwargs",
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"both"
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]
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},
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"vision": {
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"description": "The model reads images: @image files, pasted paths and view_image.",
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"type": "boolean"
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},
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"tools": {
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"description": "false: a model without tool calls — it can only talk.",
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"type": "boolean"
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},
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"headers": {
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"description": "Extra HTTP headers for this model's requests.",
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"type": "object",
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"propertyNames": {
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"type": "string"
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},
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"additionalProperties": {
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"type": "string"
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}
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},
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"body": {
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"description": "Merged into every request body for this model.",
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"type": "object",
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"propertyNames": {
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"type": "string"
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},
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"additionalProperties": {}
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},
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"notes": {
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"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.",
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"type": "string",
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"maxLength": 300
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},
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"single_session": {
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"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.",
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"type": "boolean"
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},
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"group": {
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"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.",
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"type": "string"
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}
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},
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"additionalProperties": false
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}
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}
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},
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"required": [
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"type",
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"url"
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],
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"additionalProperties": false
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}
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}
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},
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"additionalProperties": false,
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"title": "LLeMbas CLI connections.yaml",
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"description": "~/.config/lembas/connections.yaml: the LLeMbas server this machine is logged in to, as lembas login writes it. Global only."
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}
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