⑂ main

mm ini #40

Merged@k33g wants to merge feature/mm-init into main

Merged as a38f300bae7d.

45 files changed

modified .tickets/issues/0061-llmman-provider-download-the-model-automatically.yaml +2 -2 Viewed

@@ -6,9 +6,9 @@ author:
6	6	name: k33g
7	7	email: ph.charriere@gmail.com
8	8	createdAt: 2026-10-01T05:48:44.919Z
9		-updatedAt: 2026-10-20T07:39:23.051Z
	9	+updatedAt: 2026-10-21T11:45:30.797Z
10	10	labels: []
11		-milestone: v0.9.0
	11	+milestone: v1.0.0
12	12	epic: Providers (LLM Engine)
13	13	body: ""
14	14	tasks: []

    name: k33g
    email: ph.charriere@gmail.com
  createdAt: 2026-10-01T05:48:44.919Z
--updatedAt: 2026-10-20T07:39:23.051Z
++updatedAt: 2026-10-21T11:45:30.797Z
  labels: []
--milestone: v0.9.0
++milestone: v1.0.0
  epic: Providers (LLM Engine)
  body: ""
  tasks: []

modified .tickets/issues/0075-add-gronk-provider.yaml +2 -2 Viewed

@@ -6,9 +6,9 @@ author:
6	6	name: k33g
7	7	email: ph.charriere@gmail.com
8	8	createdAt: 2026-10-06T03:58:37.611Z
9		-updatedAt: 2026-10-20T07:48:28.395Z
	9	+updatedAt: 2026-10-21T11:49:01.282Z
10	10	labels: []
11		-milestone: v0.9.0
	11	+milestone: v1.0.0
12	12	epic: Providers (LLM Engine)
13	13	body: ""
14	14	tasks: []

    name: k33g
    email: ph.charriere@gmail.com
  createdAt: 2026-10-06T03:58:37.611Z
--updatedAt: 2026-10-20T07:48:28.395Z
++updatedAt: 2026-10-21T11:49:01.282Z
  labels: []
--milestone: v0.9.0
++milestone: v1.0.0
  epic: Providers (LLM Engine)
  body: ""
  tasks: []

added .tickets/issues/0097-generate-an-agent-yaml-file-with-the-cli.yaml +275 -0 Viewed

new file mode 100644
@@ -0,0 +1,275 @@
	1	+# Managed by IssueSpec. Hand edits are welcome; keep the schema valid.
	2	+id: 97
	3	+title: Generate an agent.yaml file with the CLI
	4	+state: closed
	5	+author:
	6	+ name: k33g
	7	+ email: ph.charriere@gmail.com
	8	+createdAt: 2026-10-18T12:31:14.544Z
	9	+updatedAt: 2026-10-21T23:00:00.000Z
	10	+labels: []
	11	+milestone: v0.9.0
	12	+related:
	13	+ - 98
	14	+body: \|
	15	+ generate an agent configuration file from de CLI (`mm`)
	16	+
	17	+ - with a wizard using options with kind of model: qwen, gemma, mellum, llama, mistral and ask for the type of usage (developer, translateur, ...) and then generate the appropriate settings
	18	+tasks:
	19	+ - id: 1
	20	+ title: "Agree on the open questions (command name, families, usages, sources of the family table, server probing, prompt language)"
	21	+ state: closed
	22	+ priority: none
	23	+ author:
	24	+ name: k33g
	25	+ email: ph.charriere@gmail.com
	26	+ createdAt: 2026-10-21T16:00:00.000Z
	27	+ updatedAt: 2026-10-21T16:00:00.000Z
	28	+ - id: 2
	29	+ title: "Port model_facts.py's rules to Go: read a model's facts from llmman/Ollama (/api/show) and llama.cpp (/props) — with tests on recorded answers"
	30	+ state: closed
	31	+ priority: none
	32	+ author:
	33	+ name: k33g
	34	+ email: ph.charriere@gmail.com
	35	+ createdAt: 2026-10-21T16:00:00.000Z
	36	+ updatedAt: 2026-10-21T16:00:00.000Z
	37	+ - id: 3
	38	+ title: "Family table (sourced values) + usage profiles + machine rows (from the settings guide) — with tests"
	39	+ state: closed
	40	+ priority: none
	41	+ author:
	42	+ name: k33g
	43	+ email: ph.charriere@gmail.com
	44	+ createdAt: 2026-10-21T16:00:00.000Z
	45	+ updatedAt: 2026-10-21T16:00:00.000Z
	46	+ - id: 4
	47	+ title: "The wizard: questions through internal/elicit in the terminal, flags for every question, never overwrite — with tests"
	48	+ state: closed
	49	+ priority: none
	50	+ author:
	51	+ name: k33g
	52	+ email: ph.charriere@gmail.com
	53	+ createdAt: 2026-10-21T16:00:00.000Z
	54	+ updatedAt: 2026-10-21T16:00:00.000Z
	55	+ - id: 5
	56	+ title: "Generate the commented agent.yaml, load it with config.Load, --check sends one question — with tests and a live check per provider available"
	57	+ state: closed
	58	+ priority: none
	59	+ author:
	60	+ name: k33g
	61	+ email: ph.charriere@gmail.com
	62	+ createdAt: 2026-10-21T16:00:00.000Z
	63	+ updatedAt: 2026-10-21T16:00:00.000Z
	64	+ - id: 6
	65	+ title: "Docs EN+FR (how-to: create an agent with mm init; reference: the flags), README, release notes"
	66	+ state: closed
	67	+ priority: none
	68	+ author:
	69	+ name: k33g
	70	+ email: ph.charriere@gmail.com
	71	+ createdAt: 2026-10-21T16:00:00.000Z
	72	+ updatedAt: 2026-10-21T16:00:00.000Z
	73	+comments:
	74	+ - id: 1
	75	+ author:
	76	+ name: k33g
	77	+ email: ph.charriere@gmail.com
	78	+ createdAt: 2026-10-21T16:00:00.000Z
	79	+ body: \|
	80	+ Proposal (2026-10-21) — to confirm before coding.
	81	+
	82	+ ## What exists already (checked in the repo)
	83	+ - agent.creator.yaml + skills/create-agent: an LLM agent (Qwen3.8 27B)
	84	+ that creates an agent.yaml. Powerful, but needs a 27B model loaded and
	85	+ minutes per agent.
	86	+ - skills/create-agent/model_facts.py: reads a model from llmman
	87	+ (/api/show, /api/tags) — context window, the sampling recommended in the
	88	+ GGUF, the chat template's reasoning switch and its default, the tool-call
	89	+ format — and turns them into settings rules.
	90	+ - guides/agent-settings-for-small-models.md (ticket 98): the "typical
	91	+ profiles" table (timeouts, maxTurns, maxOutput, context) and the sampling
	92	+ advice.
	93	+ - config.samples/ (dmr gemma, gpt-oss, qwen3.6; llamacpp ornith, qwen3.8)
	94	+ and the demos: tested settings per model.
	95	+ - internal/elicit: the questions (choice, multi, text, confirm) and their
	96	+ line-mode answers, used by ask_user in the REPL.
	97	+
	98	+ ## Proposal: `mm init` — a wizard with no model to run
	99	+ A deterministic generator, in Go, in mm itself: questions in the terminal,
	100	+ then a commented agent.yaml. No LLM involved, so it is instant and works
	101	+ before any agent exists. agent.creator.yaml stays for the unusual cases.
	102	+
	103	+ ### Questions (in this order, each with a default)
	104	+ 1. Model server: dmr / llmman / ollama / llamacpp — and its URL (the
	105	+ provider's default; the wizard checks it answers).
	106	+ 2. Model: picked from the server's list (/v1/models, or llmman's
	107	+ /api/tags) — or typed.
	108	+ 3. Model family: detected from the name (qwen, gemma, mellum, llama,
	109	+ mistral, gpt-oss, granite, minicpm… — "other" when unknown), shown for
	110	+ confirmation.
	111	+ 4. Usage: developer (code), translator, writer / documentation, assistant
	112	+ (questions & answers), reviewer, JSON extractor (structuredOutput),
	113	+ coordinator (asks other agents) — each a profile, see below.
	114	+ 5. Machine: small (laptop, ≤ 8B models) / medium / large — picks the row of
	115	+ the settings guide's profiles table.
	116	+ 6. Ask before each change (yolo: false)? — default from the usage.
	117	+ 7. Agent name and file name (default agent.yaml; never overwrite an
	118	+ existing file, as /save).
	119	+
	120	+ ### Where each setting comes from (most reliable first)
	121	+ 1. The server's facts about THAT model, when it can tell (llmman, Ollama:
	122	+ /api/show; llama.cpp: /props): the context window, the GGUF's sampling,
	123	+ the reasoning switch (enable_thinking or reasoning_effort) and its
	124	+ default — the rules of model_facts.py, ported to Go.
	125	+ 2. The family table, when the server cannot tell (DMR, or no GGUF
	126	+ sampling): the authors' published sampling and reasoning switches per
	127	+ family — each value sourced from a model card or a measured demo, the
	128	+ source written in a comment of the generated file.
	129	+ 3. The usage profile: which tools (developer: bash + files + plan;
	130	+ translator / writer: none, or files only; JSON extractor: none —
	131	+ structuredOutput forbids tools; coordinator: ask_agent), reasoning on or
	132	+ off (on for code and multi-step work, off for short tasks — the
	133	+ create-agent rule), a starting system prompt, maxTurns.
	134	+ 4. The machine row of the settings guide: firstTokenTimeout,
	135	+ watchdogTimeout, bashTimeout, maxOutput, context compression.
	136	+
	137	+ ### The generated file
	138	+ Every key commented with WHY it has that value ("from the GGUF", "Qwen's
	139	+ model card", "settings guide, small machine row"), the way the demos'
	140	+ agent.yaml are written — so the file teaches as it configures. Then the
	141	+ wizard loads it with config.Load and, with `--check`, sends one question
	142	+ ("Say hello in one line.") to prove the model answers.
	143	+
	144	+ ### Non-interactive, for scripts and tests
	145	+ `mm init --provider llmman --model hf.co/… --usage translator --machine
	146	+ small --name lucy -o agent.yaml`: every question has a flag; with all of
	147	+ them, no prompt at all.
	148	+
	149	+ ### Not in scope of a first version
	150	+ Skills scaffolding, MCP servers, hooks, mmConfigs agents — the wizard says
	151	+ where to add them (links to the how-tos) in the file's closing comment.
	152	+
	153	+ ## Open questions
	154	+ - Command name: `mm init`, `mm new`, or a flag `--init`?
	155	+ - The families and usages above: keep, add, remove?
	156	+ - Source of the family table: model cards only, or the measured demos too
	157	+ (which also give tested maxTurns / timeouts)?
	158	+ - Probe the server for its model list, or only ask for a name?
	159	+ - The generated system prompts: English only, or in the language the user
	160	+ picks?
	161	+ - Ticket 111 (a Claude skill from the settings guide): same knowledge — one
	162	+ shared table in Go that both use, or separate?
	163	+ - id: 2
	164	+ author:
	165	+ name: k33g
	166	+ email: ph.charriere@gmail.com
	167	+ createdAt: 2026-10-21T16:30:00.000Z
	168	+ body: \|
	169	+ Decided by the user (2026-10-21):
	170	+ 1. both spellings: `mm init` and `mm --init`;
	171	+ 2. families and usages: the proposed ones, completed as needed;
	172	+ 3. the family table draws on both the model cards and the measured
	173	+ demos (each value with its source);
	174	+ 4. the wizard queries the server (model list, model facts);
	175	+ 5. generated system prompts in English only;
	176	+ 6. one shared table, used by mm init and by the Claude skill of
	177	+ ticket 111.
	178	+ - id: 3
	179	+ author:
	180	+ name: k33g
	181	+ email: ph.charriere@gmail.com
	182	+ createdAt: 2026-10-21T18:00:00.000Z
	183	+ body: \|
	184	+ Implemented on feature/mm-init (branch created at the user's request).
	185	+ - internal/agentinit (new): presets.yaml (embedded; THE shared table for
	186	+ ticket 111: 13 families — qwen-coder, qwen, gemma, mellum-thinking,
	187	+ mellum, gpt-oss, minicpm, ornith, granite-guardian, menlo, llama,
	188	+ mistral, other — each with its source: model cards (Qwen, Gemma 4
	189	+ GGUF, Llama 3.1 generation_config, Mistral Small 3.1 card) and the
	190	+ measured demos; 9 usages — developer, reviewer, translator, writer,
	191	+ assistant, researcher, docs, json, coordinator — with tools,
	192	+ reasoning, precise, maxTurns, yolo and an English system prompt; 3
	193	+ machine rows from the settings guide); facts.go (model_facts.py
	194	+ ported: /api/tags, /api/show — native window, general.sampling.*,
	195	+ Ollama parameters, template reasoning switch and default — llama.cpp
	196	+ /props, OpenAI /models); decide.go (each value with its reason: server
	197	+ facts > family > usage > machine); render.go (commented YAML,
	198	+ consecutive settings sharing one comment); wizard.go (questions through
	199	+ internal/elicit, legends, Enter = default, every question a flag,
	200	+ --yes, -o -, never overwrite — checked before any question —,
	201	+ config.Load after writing, --check runs this mm -p).
	202	+ - main.go: `mm init`, `mm --init`, `-init` answered before flag.Parse;
	203	+ `--init` listed in -h.
	204	+ - Changed from the proposal: context.threshold stays mm's 75 — a
	205	+ threshold computed from the NATIVE window (the create-agent rule)
	206	+ would compress almost at once on a server that serves less (Ollama
	207	+ often 4k–8k), since mm applies it to the served window.
	208	+ - Tests: presets (every entry sourced; family matching), facts (fake
	209	+ servers per provider, template switches), decide/render (every usage
	210	+ × 4 families × 3 machines loads with config.Load; sampling cases;
	211	+ tools / docs / json / guard note), wizard (flags only, piped answers,
	212	+ never overwrite, stdout, bad answers), main (isInit; the generated
	213	+ JSON agent declares no tool — StructuredOutputConflict).
	214	+ - Live (llmman, Qwen3.5 4B): developer, translator, docs and json
	215	+ written with --yes --check — each loads and the model answers (the
	216	+ json agent answered JSON of the example's shape); interactive run with
	217	+ piped answers on gemma-4-E4B. Ollama, DMR and llama-server were not
	218	+ running here: their paths are covered by the fake-server tests only.
	219	+ - Docs EN+FR: how-to create-an-agent, reference/cli (mm init section,
	220	+ invocation line), both indexes, root README, packages.drawio.
	221	+ Not done: release notes (v0.9.0 has none yet); ticket 111's skill
	222	+ itself (it can now read internal/agentinit/presets.yaml).
	223	+ - id: 4
	224	+ author:
	225	+ name: k33g
	226	+ email: ph.charriere@gmail.com
	227	+ createdAt: 2026-10-21T20:00:00.000Z
	228	+ body: \|
	229	+ Updated for ticket 118 (the generic openai provider):
	230	+ - `openai` is offered as a fifth server, but never probed for the first
	231	+ question's default (its default address is the OpenAI API: mm init
	232	+ must not call a remote service nobody asked for);
	233	+ - its model list is read with OPENAI_API_KEY (Authorization header);
	234	+ - the file says where the key comes from, that no baseUrl means the
	235	+ OpenAI API, and that this provider cannot ask for the window
	236	+ (contextWindow: 0 = unknown → compression counts messages);
	237	+ - presets.yaml: a new family `openai` (match `gpt-`, after gpt-oss):
	238	+ temperature 1.0 and max_completion_tokens instead of max_tokens (new
	239	+ field maxTokensKey), with a note — source: the OpenAI API reference,
	240	+ not measured here.
	241	+ - Tests: openai lists models with the key (and other providers do not
	242	+ send one), the openai family and provider render and load, openai is
	243	+ not in the probed list. Live: mm init --provider openai on llmman's
	244	+ OpenAI address with --check — written, loaded, the model answered.
	245	+ - Docs EN+FR: reference/cli (provider row, facts row), how-to
	246	+ create-an-agent (server list, prerequisites).
	247	+ - id: 5
	248	+ author:
	249	+ name: k33g
	250	+ email: ph.charriere@gmail.com
	251	+ createdAt: 2026-10-21T22:00:00.000Z
	252	+ body: \|
	253	+ A window "in the style of the TUI" (user's layout choice: steps +
	254	+ choices + preview):
	255	+ - internal/agentinit/flow.go: the questions as a UI-agnostic Flow
	256	+ (Steps, Set/Unset, Preview of the file with a candidate answer,
	257	+ Result); the line wizard and the window both drive it.
	258	+ - internal/tui/initwin.go (tui.RunInit): steps on the left (✓ ▸ ·, each
	259	+ answer beside it), the question with the highlighted choice's
	260	+ description, and the agent.yaml as it would be written with that
	261	+ choice, live; a confirmation screen before writing. Keys: ↑↓ Home
	262	+ End, Enter, y/n, Esc back (skips flag answers), PgUp/PgDn preview,
	263	+ Tab = preview in place of the question below 100 columns, Ctrl-U,
	264	+ Ctrl-C = nothing written.
	265	+ - The window opens when stdin and stdout are terminals; `--line` (new)
	266	+ or a pipe keeps the line-by-line questions; --yes asks nothing.
	267	+ The step "Yolo" is labelled "Ask first" (Yolo no read as yes).
	268	+ - Tests: flow (steps, preview candidate), window on a tcell
	269	+ SimulationScreen (defaults all the way, preview follows the
	270	+ selection, back/text/quit, narrow Tab). Live in a pty (130×34,
	271	+ pyte) against llmman: written and loaded.
	272	+ - Docs EN+FR: how-to create-an-agent (real capture, keys, line mode),
	273	+ reference/cli (Window and Line mode rows, --line), the TUI keyboard
	274	+ shortcuts guide (an mm init section), packages.drawio (tui →
	275	+ agentinit).

++# Managed by IssueSpec. Hand edits are welcome; keep the schema valid.
++id: 97
++title: Generate an agent.yaml file with the CLI
++state: closed
++author:
++  name: k33g
++  email: ph.charriere@gmail.com
++createdAt: 2026-10-18T12:31:14.544Z
++updatedAt: 2026-10-21T23:00:00.000Z
++labels: []
++milestone: v0.9.0
++related:
++  - 98
++body: |
++  generate an agent configuration file from de CLI (`mm`)
++
++  - with a wizard using options with kind of model: qwen, gemma, mellum, llama, mistral and ask for the type of usage (developer, translateur, ...) and then generate the appropriate settings
++tasks:
++  - id: 1
++    title: "Agree on the open questions (command name, families, usages, sources of the family table, server probing, prompt language)"
++    state: closed
++    priority: none
++    author:
++      name: k33g
++      email: ph.charriere@gmail.com
++    createdAt: 2026-10-21T16:00:00.000Z
++    updatedAt: 2026-10-21T16:00:00.000Z
++  - id: 2
++    title: "Port model_facts.py's rules to Go: read a model's facts from llmman/Ollama (/api/show) and llama.cpp (/props) — with tests on recorded answers"
++    state: closed
++    priority: none
++    author:
++      name: k33g
++      email: ph.charriere@gmail.com
++    createdAt: 2026-10-21T16:00:00.000Z
++    updatedAt: 2026-10-21T16:00:00.000Z
++  - id: 3
++    title: "Family table (sourced values) + usage profiles + machine rows (from the settings guide) — with tests"
++    state: closed
++    priority: none
++    author:
++      name: k33g
++      email: ph.charriere@gmail.com
++    createdAt: 2026-10-21T16:00:00.000Z
++    updatedAt: 2026-10-21T16:00:00.000Z
++  - id: 4
++    title: "The wizard: questions through internal/elicit in the terminal, flags for every question, never overwrite — with tests"
++    state: closed
++    priority: none
++    author:
++      name: k33g
++      email: ph.charriere@gmail.com
++    createdAt: 2026-10-21T16:00:00.000Z
++    updatedAt: 2026-10-21T16:00:00.000Z
++  - id: 5
++    title: "Generate the commented agent.yaml, load it with config.Load, --check sends one question — with tests and a live check per provider available"
++    state: closed
++    priority: none
++    author:
++      name: k33g
++      email: ph.charriere@gmail.com
++    createdAt: 2026-10-21T16:00:00.000Z
++    updatedAt: 2026-10-21T16:00:00.000Z
++  - id: 6
++    title: "Docs EN+FR (how-to: create an agent with mm init; reference: the flags), README, release notes"
++    state: closed
++    priority: none
++    author:
++      name: k33g
++      email: ph.charriere@gmail.com
++    createdAt: 2026-10-21T16:00:00.000Z
++    updatedAt: 2026-10-21T16:00:00.000Z
++comments:
++  - id: 1
++    author:
++      name: k33g
++      email: ph.charriere@gmail.com
++    createdAt: 2026-10-21T16:00:00.000Z
++    body: |
++      Proposal (2026-10-21) — to confirm before coding.
++
++      ## What exists already (checked in the repo)
++      - agent.creator.yaml + skills/create-agent: an LLM agent (Qwen3.8 27B)
++        that creates an agent.yaml. Powerful, but needs a 27B model loaded and
++        minutes per agent.
++      - skills/create-agent/model_facts.py: reads a model from llmman
++        (/api/show, /api/tags) — context window, the sampling recommended in the
++        GGUF, the chat template's reasoning switch and its default, the tool-call
++        format — and turns them into settings rules.
++      - guides/agent-settings-for-small-models.md (ticket 98): the "typical
++        profiles" table (timeouts, maxTurns, maxOutput, context) and the sampling
++        advice.
++      - config.samples/ (dmr gemma, gpt-oss, qwen3.6; llamacpp ornith, qwen3.8)
++        and the demos: tested settings per model.
++      - internal/elicit: the questions (choice, multi, text, confirm) and their
++        line-mode answers, used by ask_user in the REPL.
++
++      ## Proposal: `mm init` — a wizard with no model to run
++      A deterministic generator, in Go, in mm itself: questions in the terminal,
++      then a commented agent.yaml. No LLM involved, so it is instant and works
++      before any agent exists. agent.creator.yaml stays for the unusual cases.
++
++      ### Questions (in this order, each with a default)
++      1. Model server: dmr / llmman / ollama / llamacpp — and its URL (the
++         provider's default; the wizard checks it answers).
++      2. Model: picked from the server's list (/v1/models, or llmman's
++         /api/tags) — or typed.
++      3. Model family: detected from the name (qwen, gemma, mellum, llama,
++         mistral, gpt-oss, granite, minicpm… — "other" when unknown), shown for
++         confirmation.
++      4. Usage: developer (code), translator, writer / documentation, assistant
++         (questions & answers), reviewer, JSON extractor (structuredOutput),
++         coordinator (asks other agents) — each a profile, see below.
++      5. Machine: small (laptop, ≤ 8B models) / medium / large — picks the row of
++         the settings guide's profiles table.
++      6. Ask before each change (yolo: false)? — default from the usage.
++      7. Agent name and file name (default agent.yaml; never overwrite an
++         existing file, as /save).
++
++      ### Where each setting comes from (most reliable first)
++      1. The server's facts about THAT model, when it can tell (llmman, Ollama:
++         /api/show; llama.cpp: /props): the context window, the GGUF's sampling,
++         the reasoning switch (enable_thinking or reasoning_effort) and its
++         default — the rules of model_facts.py, ported to Go.
++      2. The family table, when the server cannot tell (DMR, or no GGUF
++         sampling): the authors' published sampling and reasoning switches per
++         family — each value sourced from a model card or a measured demo, the
++         source written in a comment of the generated file.
++      3. The usage profile: which tools (developer: bash + files + plan;
++         translator / writer: none, or files only; JSON extractor: none —
++         structuredOutput forbids tools; coordinator: ask_agent), reasoning on or
++         off (on for code and multi-step work, off for short tasks — the
++         create-agent rule), a starting system prompt, maxTurns.
++      4. The machine row of the settings guide: firstTokenTimeout,
++         watchdogTimeout, bashTimeout, maxOutput, context compression.
++
++      ### The generated file
++      Every key commented with WHY it has that value ("from the GGUF", "Qwen's
++      model card", "settings guide, small machine row"), the way the demos'
++      agent.yaml are written — so the file teaches as it configures. Then the
++      wizard loads it with config.Load and, with `--check`, sends one question
++      ("Say hello in one line.") to prove the model answers.
++
++      ### Non-interactive, for scripts and tests
++      `mm init --provider llmman --model hf.co/… --usage translator --machine
++      small --name lucy -o agent.yaml`: every question has a flag; with all of
++      them, no prompt at all.
++
++      ### Not in scope of a first version
++      Skills scaffolding, MCP servers, hooks, mmConfigs agents — the wizard says
++      where to add them (links to the how-tos) in the file's closing comment.
++
++      ## Open questions
++      - Command name: `mm init`, `mm new`, or a flag `--init`?
++      - The families and usages above: keep, add, remove?
++      - Source of the family table: model cards only, or the measured demos too
++        (which also give tested maxTurns / timeouts)?
++      - Probe the server for its model list, or only ask for a name?
++      - The generated system prompts: English only, or in the language the user
++        picks?
++      - Ticket 111 (a Claude skill from the settings guide): same knowledge — one
++        shared table in Go that both use, or separate?
++  - id: 2
++    author:
++      name: k33g
++      email: ph.charriere@gmail.com
++    createdAt: 2026-10-21T16:30:00.000Z
++    body: |
++      Decided by the user (2026-10-21):
++      1. both spellings: `mm init` and `mm --init`;
++      2. families and usages: the proposed ones, completed as needed;
++      3. the family table draws on both the model cards and the measured
++         demos (each value with its source);
++      4. the wizard queries the server (model list, model facts);
++      5. generated system prompts in English only;
++      6. one shared table, used by mm init and by the Claude skill of
++         ticket 111.
++  - id: 3
++    author:
++      name: k33g
++      email: ph.charriere@gmail.com
++    createdAt: 2026-10-21T18:00:00.000Z
++    body: |
++      Implemented on feature/mm-init (branch created at the user's request).
++      - internal/agentinit (new): presets.yaml (embedded; THE shared table for
++        ticket 111: 13 families — qwen-coder, qwen, gemma, mellum-thinking,
++        mellum, gpt-oss, minicpm, ornith, granite-guardian, menlo, llama,
++        mistral, other — each with its source: model cards (Qwen, Gemma 4
++        GGUF, Llama 3.1 generation_config, Mistral Small 3.1 card) and the
++        measured demos; 9 usages — developer, reviewer, translator, writer,
++        assistant, researcher, docs, json, coordinator — with tools,
++        reasoning, precise, maxTurns, yolo and an English system prompt; 3
++        machine rows from the settings guide); facts.go (model_facts.py
++        ported: /api/tags, /api/show — native window, general.sampling.*,
++        Ollama parameters, template reasoning switch and default — llama.cpp
++        /props, OpenAI /models); decide.go (each value with its reason: server
++        facts > family > usage > machine); render.go (commented YAML,
++        consecutive settings sharing one comment); wizard.go (questions through
++        internal/elicit, legends, Enter = default, every question a flag,
++        --yes, -o -, never overwrite — checked before any question —,
++        config.Load after writing, --check runs this mm -p).
++      - main.go: `mm init`, `mm --init`, `-init` answered before flag.Parse;
++        `--init` listed in -h.
++      - Changed from the proposal: context.threshold stays mm's 75 — a
++        threshold computed from the NATIVE window (the create-agent rule)
++        would compress almost at once on a server that serves less (Ollama
++        often 4k–8k), since mm applies it to the served window.
++      - Tests: presets (every entry sourced; family matching), facts (fake
++        servers per provider, template switches), decide/render (every usage
++        × 4 families × 3 machines loads with config.Load; sampling cases;
++        tools / docs / json / guard note), wizard (flags only, piped answers,
++        never overwrite, stdout, bad answers), main (isInit; the generated
++        JSON agent declares no tool — StructuredOutputConflict).
++      - Live (llmman, Qwen3.5 4B): developer, translator, docs and json
++        written with --yes --check — each loads and the model answers (the
++        json agent answered JSON of the example's shape); interactive run with
++        piped answers on gemma-4-E4B. Ollama, DMR and llama-server were not
++        running here: their paths are covered by the fake-server tests only.
++      - Docs EN+FR: how-to create-an-agent, reference/cli (mm init section,
++        invocation line), both indexes, root README, packages.drawio.
++      Not done: release notes (v0.9.0 has none yet); ticket 111's skill
++      itself (it can now read internal/agentinit/presets.yaml).
++  - id: 4
++    author:
++      name: k33g
++      email: ph.charriere@gmail.com
++    createdAt: 2026-10-21T20:00:00.000Z
++    body: |
++      Updated for ticket 118 (the generic openai provider):
++      - `openai` is offered as a fifth server, but never probed for the first
++        question's default (its default address is the OpenAI API: mm init
++        must not call a remote service nobody asked for);
++      - its model list is read with OPENAI_API_KEY (Authorization header);
++      - the file says where the key comes from, that no baseUrl means the
++        OpenAI API, and that this provider cannot ask for the window
++        (contextWindow: 0 = unknown → compression counts messages);
++      - presets.yaml: a new family `openai` (match `gpt-`, after gpt-oss):
++        temperature 1.0 and max_completion_tokens instead of max_tokens (new
++        field maxTokensKey), with a note — source: the OpenAI API reference,
++        not measured here.
++      - Tests: openai lists models with the key (and other providers do not
++        send one), the openai family and provider render and load, openai is
++        not in the probed list. Live: mm init --provider openai on llmman's
++        OpenAI address with --check — written, loaded, the model answered.
++      - Docs EN+FR: reference/cli (provider row, facts row), how-to
++        create-an-agent (server list, prerequisites).
++  - id: 5
++    author:
++      name: k33g
++      email: ph.charriere@gmail.com
++    createdAt: 2026-10-21T22:00:00.000Z
++    body: |
++      A window "in the style of the TUI" (user's layout choice: steps +
++      choices + preview):
++      - internal/agentinit/flow.go: the questions as a UI-agnostic Flow
++        (Steps, Set/Unset, Preview of the file with a candidate answer,
++        Result); the line wizard and the window both drive it.
++      - internal/tui/initwin.go (tui.RunInit): steps on the left (✓ ▸ ·, each
++        answer beside it), the question with the highlighted choice's
++        description, and the agent.yaml as it would be written with that
++        choice, live; a confirmation screen before writing. Keys: ↑↓ Home
++        End, Enter, y/n, Esc back (skips flag answers), PgUp/PgDn preview,
++        Tab = preview in place of the question below 100 columns, Ctrl-U,
++        Ctrl-C = nothing written.
++      - The window opens when stdin and stdout are terminals; `--line` (new)
++        or a pipe keeps the line-by-line questions; --yes asks nothing.
++        The step "Yolo" is labelled "Ask first" (Yolo no read as yes).
++      - Tests: flow (steps, preview candidate), window on a tcell
++        SimulationScreen (defaults all the way, preview follows the
++        selection, back/text/quit, narrow Tab). Live in a pty (130×34,
++        pyte) against llmman: written and loaded.
++      - Docs EN+FR: how-to create-an-agent (real capture, keys, line mode),
++        reference/cli (Window and Line mode rows, --line), the TUI keyboard
++        shortcuts guide (an mm init section), packages.drawio (tui →
++        agentinit).

modified .tickets/issues/0111-using-the-settings-guide-create-a-claude-skill.yaml +12 -1 Viewed

@@ -12,4 +12,15 @@ milestone: v1.0.0
12	12	body: \|
13	13	the Claude skill will produce a descriptive doc about the model and a config file (`agent.yaml`)
14	14	tasks: []
15		-comments: []
	15	+comments:
	16	+ - id: 1
	17	+ author:
	18	+ name: k33g
	19	+ email: ph.charriere@gmail.com
	20	+ createdAt: 2026-10-21T18:00:00.000Z
	21	+ body: \|
	22	+ User's decision in ticket 97: ONE shared table. It now exists:
	23	+ internal/agentinit/presets.yaml (families with sourced sampling and
	24	+ reasoning switches, usages, machine rows from the settings guide),
	25	+ embedded by `mm init`. The skill of this ticket should read that file
	26	+ rather than carry its own values.

  body: |
    the Claude skill will produce a descriptive doc about the model and a config file (`agent.yaml`)
  tasks: []
--comments: []
++comments:
++  - id: 1
++    author:
++      name: k33g
++      email: ph.charriere@gmail.com
++    createdAt: 2026-10-21T18:00:00.000Z
++    body: |
++      User's decision in ticket 97: ONE shared table. It now exists:
++      internal/agentinit/presets.yaml (families with sourced sampling and
++      reasoning switches, usages, machine rows from the settings guide),
++      embedded by `mm init`. The skill of this ticket should read that file
++      rather than carry its own values.

modified .tickets/issues/0112-add-a-help-window-in-tui-mode-for-the-ui-shortcu.yaml +8 -3 Viewed

@@ -1,16 +1,21 @@
1	1	# Managed by IssueSpec. Hand edits are welcome; keep the schema valid.
2	2	id: 112
3	3	title: Add a help window in TUI mode for the UI shortcuts
4		-state: open
	4	+state: closed
5	5	author:
6	6	name: k33g
7	7	email: ph.charriere@gmail.com
8	8	createdAt: 2026-10-21T04:43:03.511Z
9		-updatedAt: 2026-10-21T04:43:13.927Z
	9	+updatedAt: 2026-10-21T11:26:26.119Z
10	10	labels:
11	11	- kind::feature
	12	+ - wontfix
12	13	milestone: v0.9.0
13		-body: ""
	14	+body: \|
	15	+ Already displayed in the TUI
	16	+ ```
	17	+ ── Enter sends · Ctrl-J new line · / commands · @ files · $ skills · Tab scroll ───────────────────────────────
	18	+ ```
14	19	tasks: []
15	20	comments:
16	21	- id: 1

  # Managed by IssueSpec. Hand edits are welcome; keep the schema valid.
  id: 112
  title: Add a help window in TUI mode for the UI shortcuts
--state: open
++state: closed
  author:
    name: k33g
    email: ph.charriere@gmail.com
  createdAt: 2026-10-21T04:43:03.511Z
--updatedAt: 2026-10-21T04:43:13.927Z
++updatedAt: 2026-10-21T11:26:26.119Z
  labels:
    - kind::feature
++  - wontfix
  milestone: v0.9.0
--body: ""
++body: |
++  Already displayed in the TUI
++  ```
++  ── Enter sends · Ctrl-J new line · / commands · @ files · $ skills · Tab scroll ───────────────────────────────
++  ```
  tasks: []
  comments:
    - id: 1

modified .tickets/issues/0115-uograde-go-version.yaml +2 -2 Viewed

@@ -1,12 +1,12 @@
1	1	# Managed by IssueSpec. Hand edits are welcome; keep the schema valid.
2	2	id: 115
3	3	title: Uograde go version
4		-state: open
	4	+state: closed
5	5	author:
6	6	name: k33g
7	7	email: ph.charriere@gmail.com
8	8	createdAt: 2026-10-21T11:03:46.198Z
9		-updatedAt: 2026-10-21T15:00:00.000Z
	9	+updatedAt: 2026-10-21T11:23:25.320Z
10	10	labels: []
11	11	milestone: v0.9.0
12	12	body: \|

  # Managed by IssueSpec. Hand edits are welcome; keep the schema valid.
  id: 115
  title: Uograde go version
--state: open
++state: closed
  author:
    name: k33g
    email: ph.charriere@gmail.com
  createdAt: 2026-10-21T11:03:46.198Z
--updatedAt: 2026-10-21T15:00:00.000Z
++updatedAt: 2026-10-21T11:23:25.320Z
  labels: []
  milestone: v0.9.0
  body: |

renamed .tickets/issues/0116-how-to-use-mm-for-completion.yaml +4 -6 Viewed

similarity index 57%
rename from .tickets/issues/0097-generate-an-agent-yaml-file-with-rhe-cli.yaml
rename to .tickets/issues/0116-how-to-use-mm-for-completion.yaml
@@ -1,16 +1,14 @@
1	1	# Managed by IssueSpec. Hand edits are welcome; keep the schema valid.
2		-id: 97
3		-title: Generate an agent.yaml file with rhe CLI
	2	+id: 116
	3	+title: How to use mm for completion?
4	4	state: open
5	5	author:
6	6	name: k33g
7	7	email: ph.charriere@gmail.com
8		-createdAt: 2026-10-18T12:31:14.544Z
9		-updatedAt: 2026-10-20T05:38:52.918Z
	8	+createdAt: 2026-10-21T11:38:42.420Z
	9	+updatedAt: 2026-10-21T11:44:57.748Z
10	10	labels: []
11	11	milestone: v0.9.0
12		-related:
13		- - 98
14	12	body: ""
15	13	tasks: []
16	14	comments: []

  # Managed by IssueSpec. Hand edits are welcome; keep the schema valid.
--id: 97
++id: 116
--title: Generate an agent.yaml file with rhe CLI
++title: How to use mm for completion?
  state: open
  author:
    name: k33g
    email: ph.charriere@gmail.com
--createdAt: 2026-10-18T12:31:14.544Z
++createdAt: 2026-10-21T11:38:42.420Z
--updatedAt: 2026-10-20T05:38:52.918Z
++updatedAt: 2026-10-21T11:44:57.748Z
  labels: []
  milestone: v0.9.0
--related:
--  - 98
  body: ""
  tasks: []
  comments: []

added .tickets/issues/0117-make-possible-the-usage-of-mm-tui-like-mm-tui-an.yaml +14 -0 Viewed

new file mode 100644
@@ -0,0 +1,14 @@
	1	+# Managed by IssueSpec. Hand edits are welcome; keep the schema valid.
	2	+id: 117
	3	+title: make possible the usage of mm tui like mm --tui and mm acp like mm --acp
	4	+state: open
	5	+author:
	6	+ name: k33g
	7	+ email: ph.charriere@gmail.com
	8	+createdAt: 2026-10-21T11:39:39.289Z
	9	+updatedAt: 2026-10-21T11:44:38.778Z
	10	+labels: []
	11	+milestone: v0.9.0
	12	+body: ""
	13	+tasks: []
	14	+comments: []

++# Managed by IssueSpec. Hand edits are welcome; keep the schema valid.
++id: 117
++title: make possible the usage of mm tui like mm --tui and mm acp like mm --acp
++state: open
++author:
++  name: k33g
++  email: ph.charriere@gmail.com
++createdAt: 2026-10-21T11:39:39.289Z
++updatedAt: 2026-10-21T11:44:38.778Z
++labels: []
++milestone: v0.9.0
++body: ""
++tasks: []
++comments: []

added .tickets/issues/0118-add-a-generic-openai-provider.yaml +53 -0 Viewed

new file mode 100644
@@ -0,0 +1,53 @@
	1	+# Managed by IssueSpec. Hand edits are welcome; keep the schema valid.
	2	+id: 118
	3	+title: Add a generic OpenAI provider
	4	+state: closed
	5	+author:
	6	+ name: k33g
	7	+ email: ph.charriere@gmail.com
	8	+createdAt: 2026-10-21T11:50:07.819Z
	9	+updatedAt: 2026-10-21T23:00:00.000Z
	10	+labels: []
	11	+milestone: v0.9.0
	12	+related:
	13	+ - 97
	14	+body: \|
	15	+ A generic `openai` provider: any server that speaks the OpenAI
	16	+ chat-completions protocol and has no dedicated provider in mm — the OpenAI
	17	+ API itself (default address), vLLM, LM Studio, OpenRouter, a gateway.
	18	+tasks: []
	19	+comments:
	20	+ - id: 1
	21	+ author:
	22	+ name: k33g
	23	+ email: ph.charriere@gmail.com
	24	+ createdAt: 2026-10-21T20:00:00.000Z
	25	+ body: \|
	26	+ Implemented on feature/mm-init (with ticket 97, which it is related to).
	27	+ - internal/engine/openai.go: a sixth registry entry, name `openai`,
	28	+ baseURL https://api.openai.com/v1, no fallback, apiKeyEnv
	29	+ OPENAI_API_KEY, key NOT required (dummy key, like the local
	30	+ providers: a local server checks none, a remote one answers 401). Every
	31	+ server-specific field left empty: no return_progress (a llama.cpp
	32	+ field a strict API may refuse), no thinkingOff for summaries, no
	33	+ unload. probeOpenAI sends the key to GET /models: 401/403 → "refused
	34	+ the key — export OPENAI_API_KEY" (reachable), 200 → model looked up in
	35	+ the list, anything else → unreachable (the plain reachable() sends no
	36	+ key and would call a remote API "down").
	37	+ - Tests (engine/openai_test.go): the entry assumes no server feature;
	38	+ Resolve default address and key variable; only standard fields sent
	39	+ (stream_options, never return_progress); probe with a fake server
	40	+ (good key, unknown model, refused key, nothing listening). The
	41	+ registry test lists openai.
	42	+ - Live: provider openai pointed at llmman's OpenAI address (a real
	43	+ generic server): mm -p ran a bash tool call and answered; with a wrong
	44	+ baseUrl the start-up warning gives the openai hint. The OpenAI API
	45	+ itself was NOT tried (no key here).
	46	+ - mm --about: "…, and any other OpenAI-compatible one (provider openai)".
	47	+ - Docs EN+FR: how-to run-with-an-openai-compatible-server (new),
	48	+ reference/configuration (provider row, defaults table + what openai
	49	+ sends and does not), explanation/providers, both indexes, README.
	50	+ Known limits, documented: no prompt-reading progress, no reasoning switch
	51	+ on summaries, no /unload, no window from the server (set contextWindow);
	52	+ the OpenAI API's reasoning models need max_completion_tokens and the
	53	+ default temperature (from the API reference, not measured).

++# Managed by IssueSpec. Hand edits are welcome; keep the schema valid.
++id: 118
++title: Add a generic OpenAI provider
++state: closed
++author:
++  name: k33g
++  email: ph.charriere@gmail.com
++createdAt: 2026-10-21T11:50:07.819Z
++updatedAt: 2026-10-21T23:00:00.000Z
++labels: []
++milestone: v0.9.0
++related:
++  - 97
++body: |
++  A generic `openai` provider: any server that speaks the OpenAI
++  chat-completions protocol and has no dedicated provider in mm — the OpenAI
++  API itself (default address), vLLM, LM Studio, OpenRouter, a gateway.
++tasks: []
++comments:
++  - id: 1
++    author:
++      name: k33g
++      email: ph.charriere@gmail.com
++    createdAt: 2026-10-21T20:00:00.000Z
++    body: |
++      Implemented on feature/mm-init (with ticket 97, which it is related to).
++      - internal/engine/openai.go: a sixth registry entry, name `openai`,
++        baseURL https://api.openai.com/v1, no fallback, apiKeyEnv
++        OPENAI_API_KEY, key NOT required (dummy key, like the local
++        providers: a local server checks none, a remote one answers 401). Every
++        server-specific field left empty: no return_progress (a llama.cpp
++        field a strict API may refuse), no thinkingOff for summaries, no
++        unload. probeOpenAI sends the key to GET /models: 401/403 → "refused
++        the key — export OPENAI_API_KEY" (reachable), 200 → model looked up in
++        the list, anything else → unreachable (the plain reachable() sends no
++        key and would call a remote API "down").
++      - Tests (engine/openai_test.go): the entry assumes no server feature;
++        Resolve default address and key variable; only standard fields sent
++        (stream_options, never return_progress); probe with a fake server
++        (good key, unknown model, refused key, nothing listening). The
++        registry test lists openai.
++      - Live: provider openai pointed at llmman's OpenAI address (a real
++        generic server): mm -p ran a bash tool call and answered; with a wrong
++        baseUrl the start-up warning gives the openai hint. The OpenAI API
++        itself was NOT tried (no key here).
++      - mm --about: "…, and any other OpenAI-compatible one (provider openai)".
++      - Docs EN+FR: how-to run-with-an-openai-compatible-server (new),
++        reference/configuration (provider row, defaults table + what openai
++        sends and does not), explanation/providers, both indexes, README.
++      Known limits, documented: no prompt-reading progress, no reasoning switch
++      on summaries, no /unload, no window from the server (set contextWindow);
++      the OpenAI API's reasoning models need max_completion_tokens and the
++      default temperature (from the API reference, not measured).

modified README.md +2 -1 Viewed

@@ -20,7 +20,7 @@ What makes Mini Me a bit special is that it was designed from the start to be us
20	20
21	21	## Install
22	22
23		-You need Go 1.27+ and a model server that can emit tool calls, through its OpenAI-compatible API: Docker Model Runner (`provider: dmr`, the default), llama.cpp's `llama-server` (`llamacpp`), [llmman](https://github.com/llmmanorg/llmman) (`llmman`) or Ollama (`ollama`).
	23	+You need Go 1.27+ and a model server that can emit tool calls, through its OpenAI-compatible API: Docker Model Runner (`provider: dmr`, the default), llama.cpp's `llama-server` (`llamacpp`), [llmman](https://github.com/llmmanorg/llmman) (`llmman`) or Ollama (`ollama`) — or any other OpenAI-compatible server with `provider: openai` (the OpenAI API by default, vLLM, LM Studio…).
24	24
25	25	```bash
26	26	git clone https://git.rickub.com/bots-garden/mini-me.git
@@ -107,6 +107,7 @@ Anything that speaks ACP can host `mm -acp` the same way: JetBrains IDEs (In
107	107
108	108	## More features
109	109
	110	+- Create an agent: `mm init` (or `mm --init`) asks which server, which model (from the server's list), what the agent is for and which machine runs it, then writes a commented agent.yaml — the model's facts read from the server (window, the GGUF's sampling, the reasoning switch), a family table sourced from model cards and the measured demos, every value with its reason; `--check` proves the model answers, flags make it scriptable. See [Create an agent with `mm init`](docs/en/how-to/create-an-agent.md).
110	111	- One prompt and exit: `mm -p "…"` — for scripts. See [Run a single prompt](docs/en/how-to/run-a-single-prompt.md).
111	112	- Other agents: list other mm agents under `mmConfigs`; you ask them with `/ask-<name>`, your agent calls them itself with its `ask_agent` tool, a script with `mm --ask <name>`. See [Let your agent call other agents](docs/en/how-to/let-the-agent-call-other-agents.md).
112	113	- Questions to you: the agent asks with its `ask_user` tool — pick one, pick several, type a text, yes or no — as numbered choices in the terminal, an arrow-key box in the window, a form or a dialog in an editor; a called agent's questions come up to you too. `askUserTool: false` turns it off. See [Let the agent ask you questions](docs/en/how-to/let-the-agent-ask-you.md).

  ## Install
--You need Go 1.27+ and a model server that can emit tool calls, through its OpenAI-compatible API: Docker Model Runner (`provider: dmr`, the default), llama.cpp's `llama-server` (`llamacpp`), [llmman](https://github.com/llmmanorg/llmman) (`llmman`) or Ollama (`ollama`).
++You need Go 1.27+ and a model server that can emit tool calls, through its OpenAI-compatible API: Docker Model Runner (`provider: dmr`, the default), llama.cpp's `llama-server` (`llamacpp`), [llmman](https://github.com/llmmanorg/llmman) (`llmman`) or Ollama (`ollama`) — or any other OpenAI-compatible server with `provider: openai` (the OpenAI API by default, vLLM, LM Studio…).
  ```bash
  git clone https://git.rickub.com/bots-garden/mini-me.git
  ## More features
++- **Create an agent**: `mm init` (or `mm --init`) asks which server, which model (from the server's list), what the agent is for and which machine runs it, then writes a commented agent.yaml — the model's facts read from the server (window, the GGUF's sampling, the reasoning switch), a family table sourced from model cards and the measured demos, every value with its reason; `--check` proves the model answers, flags make it scriptable. See [Create an agent with `mm init`](docs/en/how-to/create-an-agent.md).
  - **One prompt and exit**: `mm -p "…"` — for scripts. See [Run a single prompt](docs/en/how-to/run-a-single-prompt.md).
  - **Other agents**: list other mm agents under `mmConfigs`; you ask them with `/ask-<name>`, your agent calls them itself with its `ask_agent` tool, a script with `mm --ask <name>`. See [Let your agent call other agents](docs/en/how-to/let-the-agent-call-other-agents.md).
  - **Questions to you**: the agent asks with its `ask_user` tool — pick one, pick several, type a text, yes or no — as numbered choices in the terminal, an arrow-key box in the window, a form or a dialog in an editor; a called agent's questions come up to you too. `askUserTool: false` turns it off. See [Let the agent ask you questions](docs/en/how-to/let-the-agent-ask-you.md).

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		\ No newline at end of file
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modified docs/en/README.md +2 -0 Viewed

@@ -10,9 +10,11 @@ This documentation is organised along the four [Diátaxis](https://diataxis.fr)
10	10
11	11	## How-to guides — get a task done
12	12
	13	+- [Create an agent with `mm init`](how-to/create-an-agent.md) — a wizard that writes a commented agent.yaml from the model server's facts, a family table, the usage and the machine
13	14	- [Run mini-me on llama.cpp instead of Docker Model Runner](how-to/run-with-llama-cpp.md)
14	15	- [Run mini-me on llmman](how-to/run-with-llmman.md) — `provider: llmman`, the demo config in `demos/llmman/`
15	16	- [Run mini-me on Ollama](how-to/run-with-ollama.md) — `provider: ollama`, the demo config in `demos/ollama/`
	17	+- [Use any OpenAI-compatible server](how-to/run-with-an-openai-compatible-server.md) — `provider: openai`: the OpenAI API, vLLM, LM Studio, a gateway
16	18	- [Ask another mm agent from your session](how-to/ask-another-agent.md) — `mmConfigs`, `/ask-<name>`, `/ask-with-context-<name>`
17	19	- [See the JSON sent to the model and its answer](how-to/inspect-model-traffic.md) — `trace`, `AGENT_TRACE`, reading the files with jq
18	20	- [Give the agent your project's instructions](how-to/give-project-instructions.md) — `AGENTS.md`, read per conversation, `agentsMd` settings

  ## How-to guides — get a task done
++- [Create an agent with `mm init`](how-to/create-an-agent.md) — a wizard that writes a commented agent.yaml from the model server's facts, a family table, the usage and the machine
  - [Run mini-me on llama.cpp instead of Docker Model Runner](how-to/run-with-llama-cpp.md)
  - [Run mini-me on llmman](how-to/run-with-llmman.md) — `provider: llmman`, the demo config in `demos/llmman/`
  - [Run mini-me on Ollama](how-to/run-with-ollama.md) — `provider: ollama`, the demo config in `demos/ollama/`
++- [Use any OpenAI-compatible server](how-to/run-with-an-openai-compatible-server.md) — `provider: openai`: the OpenAI API, vLLM, LM Studio, a gateway
  - [Ask another mm agent from your session](how-to/ask-another-agent.md) — `mmConfigs`, `/ask-<name>`, `/ask-with-context-<name>`
  - [See the JSON sent to the model and its answer](how-to/inspect-model-traffic.md) — `trace`, `AGENT_TRACE`, reading the files with jq
  - [Give the agent your project's instructions](how-to/give-project-instructions.md) — `AGENTS.md`, read per conversation, `agentsMd` settings

modified docs/en/explanation/providers.md +1 -1 Viewed

@@ -2,7 +2,7 @@
2	2
3	3	## What is this about?
4	4
5		-`mm` talks to a local model server through the OpenAI chat-completions API. Four servers are supported out of the box: Docker Model Runner, llama.cpp's `llama-server`, llmman and Ollama, under the names `dmr`, `llamacpp`, `llmman` and `ollama`. The engine package used to be tied to Docker Model Runner; the provider abstraction is what generalised it.
	5	+`mm` talks to a local model server through the OpenAI chat-completions API. Four servers are supported out of the box: Docker Model Runner, llama.cpp's `llama-server`, llmman and Ollama, under the names `dmr`, `llamacpp`, `llmman` and `ollama`. A fifth entry, `openai` (ticket 118), takes any other server that speaks the protocol — the OpenAI API by default, vLLM, LM Studio, a gateway — and assumes nothing beyond it: it is the same data-only entry with every server-specific field left empty, and a probe that sends the key. The engine package used to be tied to Docker Model Runner; the provider abstraction is what generalised it.
6	6
7	7	## Why it is designed this way
8	8

  ## What is this about?
--`mm` talks to a local model server through the OpenAI chat-completions API. Four servers are supported out of the box: Docker Model Runner, llama.cpp's `llama-server`, llmman and Ollama, under the names `dmr`, `llamacpp`, `llmman` and `ollama`. The engine package used to be tied to Docker Model Runner; the provider abstraction is what generalised it.
++`mm` talks to a local model server through the OpenAI chat-completions API. Four servers are supported out of the box: Docker Model Runner, llama.cpp's `llama-server`, llmman and Ollama, under the names `dmr`, `llamacpp`, `llmman` and `ollama`. A fifth entry, `openai` (ticket 118), takes any other server that speaks the protocol — the OpenAI API by default, vLLM, LM Studio, a gateway — and assumes nothing beyond it: it is the same data-only entry with every server-specific field left empty, and a probe that sends the key. The engine package used to be tied to Docker Model Runner; the provider abstraction is what generalised it.
  ## Why it is designed this way

added docs/en/how-to/create-an-agent.md +91 -0 Viewed

new file mode 100644
@@ -0,0 +1,91 @@
	1	+# How to create an agent with `mm init`
	2	+
	3	+This guide shows how to write a new agent.yaml for a model and a job, with mm's wizard: it asks a few questions, reads what the model server says about the model, and writes a commented file — every value with the reason it has that value. No model runs while it does. It assumes a model server is running (llmman, Ollama, Docker Model Runner, llama-server, or any OpenAI-compatible one).
	4	+
	5	+## Steps
	6	+
	7	+1. In the directory where the agent will work, run:
	8	+
	9	+ ```bash
	10	+ mm init
	11	+ ```
	12	+
	13	+ (`mm --init` is the same.)
	14	+
	15	+2. In a terminal, a window opens, in the style of `mm -tui`: the steps on the left, the current question in the middle — with what the highlighted choice means —, and on the right the agent.yaml as it would be written, updated as you move the selection. A real capture (130 × 34, llmman, usage step, `docs` highlighted):
	16	+
	17	+ ```text
	18	+ mm init — new agent · llmman · Qwen3.5-4B:Q4_K_M
	19	+ ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
	20	+ ✓ Server llmman │ What is the agent for? │ # docs — answers from a documentation folder (docs/), with lin…
	21	+ ✓ Model Qwen3.5-…│ │ #
	22	+ ✓ Family qwen │ developer (default) │ # Written by `mm init`. Every value says why it has that value…
	23	+ ▸ Usage │ reviewer │ # them as you watch the agent work (guides/agent-settings-for-…
	24	+ · Machine │ translator │ #
	25	+ · Ask first │ writer │ # model family: qwen
	26	+ · Name │ assistant │ # usage: docs
	27	+ · File │ researcher │ # machine: small — a laptop, models up to about 8B
	28	+ │ ▸ docs │ #
	29	+ │ json │ # mm -config <this file> or mm -tui <this file>
	30	+ │ coordinator │
	31	+ │ │ provider: llmman
	32	+ │ answers from a documentation folder │ model: "hf.co/unsloth/Qwen3.5-4B-GGUF:Q4_K_M"
	33	+ │ (docs/), with links to the passages │
	34	+ │ │ # 0 = mm asks the server for the window it serves (the model's…
	35	+ │ │ # is 262144 tokens; the server may serve less)
	36	+ │ │ contextWindow: 0
	37	+ │ │ # usage docs's default: tools run without asking
	38	+ │ │ yolo: true
	39	+ │ │ # usage docs
	40	+ │ │ bashTool: false
	41	+ │ │ editTools: true
	42	+ │ │ planTool: false
	43	+ │ │ askUserTool: false
	44	+ │ │ # no skills: add a skills/ folder and set skillsDir to use som…
	45	+ │ │ # docs/en/how-to/add-a-skill.md)
	46	+ │ │ skillsDir: no-skills
	47	+ │ │ # usage docs
	48	+ │ │ maxTurns: 8
	49	+ │ │ # settings guide, row "Small model (≤ 8B), short tasks"
	50	+ ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
	51	+ ↑↓ choose · Enter next · Esc back · PgUp/PgDn preview · Ctrl-C quit
	52	+ ```
	53	+
	54	+ `↑` `↓` choose, `Enter` answers and goes to the next question, `Esc` goes back one question, `PgUp` `PgDn` scroll the preview, `Ctrl-C` quits without writing. A text question (the name, the file) is typed; `Ctrl-U` clears it. On a screen narrower than 100 columns, `Tab` shows the preview in place of the question. When every question is answered, `Enter` writes the file.
	55	+
	56	+ The questions: the model server, the model (from the server's list), its family (detected from the name), what the agent is for (developer, reviewer, translator, writer, assistant, researcher, docs, json, coordinator), which machine runs the model (small, medium, large), whether to ask before each command or file change, the agent's name and the file.
	57	+
	58	+3. mm writes the file and checks that it loads:
	59	+
	60	+ ```text
	61	+ ✅ wrote agent.yaml
	62	+ ✅ mm loads it
	63	+ Next: mm -config agent.yaml (or mm -tui agent.yaml)
	64	+ ```
	65	+
	66	+4. Read the file: each value is preceded by its reason — the GGUF's own sampling, a model card, a measured demo of this repository, the settings guide's row for your machine. Change what does not fit as you watch the agent work.
	67	+
	68	+## Variants
	69	+
	70	+- Prove the model answers. Add `--check`: after writing, mm asks the model "Say hello in one line." with the new file and says whether it answered. The first answer loads the model, which can take a while.
	71	+- Line by line. `--line`, or a run whose input or output is not a terminal (`mm init < answers.txt`), asks the same questions one per line: numbered choices, Enter takes the default.
	72	+- No questions, for a script. Give every answer as a flag, and `--yes` for the rest:
	73	+
	74	+ ```bash
	75	+ mm init --provider llmman --model hf.co/unsloth/Qwen3.5-4B-GGUF:Q4_K_M \
	76	+ --usage docs --machine small --name rata -o agent.yaml --yes --check
	77	+ ```
	78	+
	79	+- See the file without writing it. `-o -` prints it on stdout.
	80	+- A server elsewhere. `--base-url http://192.168.1.20:17434/v1`; it is written into the file as `baseUrl`.
	81	+- A server that does not answer. mm says so and asks for the model's name: the settings then come from the family table only.
	82	+- An existing file. mm never overwrites it, and says so before asking anything: choose another name with `-o`.
	83	+- A JSON agent. `--usage json` writes a `structuredOutput` example (Go types) to replace with yours, and turns every tool off, since a structured answer forbids tools.
	84	+- A model mm does not know. The family `other` gives a generic starting point and a note in the file: check the model card.
	85	+
	86	+## See also
	87	+
	88	+- [Command line reference — `mm init`](../reference/cli.md#mm-init--the-agentyaml-wizard): every flag, the sources, the exit codes
	89	+- [Configuration reference](../reference/configuration.md): every key the file holds
	90	+- [Agent settings for small models](../../../guides/agent-settings-for-small-models.md): what each setting does, the machine rows
	91	+- `agent.creator.yaml`: an agent that creates agents with a model, for the unusual cases

++# How to create an agent with `mm init`
++
++This guide shows how to write a new agent.yaml for a model and a job, with mm's wizard: it asks a few questions, reads what the model server says about the model, and writes a commented file — every value with the reason it has that value. No model runs while it does. It assumes a model server is running (llmman, Ollama, Docker Model Runner, llama-server, or any OpenAI-compatible one).
++
++## Steps
++
++1. In the directory where the agent will work, run:
++
++   ```bash
++   mm init
++   ```
++
++   (`mm --init` is the same.)
++
++2. In a terminal, a window opens, in the style of `mm -tui`: the steps on the left, the current question in the middle — with what the highlighted choice means —, and on the right the agent.yaml as it would be written, updated as you move the selection. A real capture (130 × 34, llmman, usage step, `docs` highlighted):
++
++   ```text
++    mm init — new agent · llmman · Qwen3.5-4B:Q4_K_M
++   ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
++    ✓ Server    llmman   │ What is the agent for?                   │ # docs — answers from a documentation folder (docs/), with lin…
++    ✓ Model     Qwen3.5-…│                                          │ #
++    ✓ Family    qwen     │   developer  (default)                   │ # Written by `mm init`. Every value says why it has that value…
++    ▸ Usage              │   reviewer                               │ # them as you watch the agent work (guides/agent-settings-for-…
++    · Machine            │   translator                             │ #
++    · Ask first          │   writer                                 │ #   model family: qwen
++    · Name               │   assistant                              │ #   usage:        docs
++    · File               │   researcher                             │ #   machine:      small — a laptop, models up to about 8B
++                         │ ▸ docs                                   │ #
++                         │   json                                   │ #   mm -config <this file>          or   mm -tui <this file>
++                         │   coordinator                            │
++                         │                                          │ provider: llmman
++                         │ answers from a documentation folder      │ model: "hf.co/unsloth/Qwen3.5-4B-GGUF:Q4_K_M"
++                         │ (docs/), with links to the passages      │
++                         │                                          │ # 0 = mm asks the server for the window it serves (the model's…
++                         │                                          │ # is 262144 tokens; the server may serve less)
++                         │                                          │ contextWindow: 0
++                         │                                          │ # usage docs's default: tools run without asking
++                         │                                          │ yolo: true
++                         │                                          │ # usage docs
++                         │                                          │ bashTool: false
++                         │                                          │ editTools: true
++                         │                                          │ planTool: false
++                         │                                          │ askUserTool: false
++                         │                                          │ # no skills: add a skills/ folder and set skillsDir to use som…
++                         │                                          │ # docs/en/how-to/add-a-skill.md)
++                         │                                          │ skillsDir: no-skills
++                         │                                          │ # usage docs
++                         │                                          │ maxTurns: 8
++                         │                                          │ # settings guide, row "Small model (≤ 8B), short tasks"
++   ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
++    ↑↓ choose · Enter next · Esc back · PgUp/PgDn preview · Ctrl-C quit
++   ```
++
++   `↑` `↓` choose, `Enter` answers and goes to the next question, `Esc` goes back one question, `PgUp` `PgDn` scroll the preview, `Ctrl-C` quits without writing. A text question (the name, the file) is typed; `Ctrl-U` clears it. On a screen narrower than 100 columns, `Tab` shows the preview in place of the question. When every question is answered, `Enter` writes the file.
++
++   The questions: the model server, the model (from the server's list), its family (detected from the name), what the agent is for (developer, reviewer, translator, writer, assistant, researcher, docs, json, coordinator), which machine runs the model (small, medium, large), whether to ask before each command or file change, the agent's name and the file.
++
++3. mm writes the file and checks that it loads:
++
++   ```text
++   ✅ wrote agent.yaml
++   ✅ mm loads it
++   Next: mm -config agent.yaml   (or mm -tui agent.yaml)
++   ```
++
++4. Read the file: each value is preceded by its reason — the GGUF's own sampling, a model card, a measured demo of this repository, the settings guide's row for your machine. Change what does not fit as you watch the agent work.
++
++## Variants
++
++- **Prove the model answers.** Add `--check`: after writing, mm asks the model "Say hello in one line." with the new file and says whether it answered. The first answer loads the model, which can take a while.
++- **Line by line.** `--line`, or a run whose input or output is not a terminal (`mm init < answers.txt`), asks the same questions one per line: numbered choices, Enter takes the default.
++- **No questions, for a script.** Give every answer as a flag, and `--yes` for the rest:
++
++  ```bash
++  mm init --provider llmman --model hf.co/unsloth/Qwen3.5-4B-GGUF:Q4_K_M \
++          --usage docs --machine small --name rata -o agent.yaml --yes --check
++  ```
++
++- **See the file without writing it.** `-o -` prints it on stdout.
++- **A server elsewhere.** `--base-url http://192.168.1.20:17434/v1`; it is written into the file as `baseUrl`.
++- **A server that does not answer.** mm says so and asks for the model's name: the settings then come from the family table only.
++- **An existing file.** mm never overwrites it, and says so before asking anything: choose another name with `-o`.
++- **A JSON agent.** `--usage json` writes a `structuredOutput` example (Go types) to replace with yours, and turns every tool off, since a structured answer forbids tools.
++- **A model mm does not know.** The family `other` gives a generic starting point and a note in the file: check the model card.
++
++## See also
++
++- [Command line reference — `mm init`](../reference/cli.md#mm-init--the-agentyaml-wizard): every flag, the sources, the exit codes
++- [Configuration reference](../reference/configuration.md): every key the file holds
++- [Agent settings for small models](../../../guides/agent-settings-for-small-models.md): what each setting does, the machine rows
++- `agent.creator.yaml`: an agent that creates agents with a model, for the unusual cases

added docs/en/how-to/run-with-an-openai-compatible-server.md +44 -0 Viewed

new file mode 100644
@@ -0,0 +1,44 @@
	1	+# How to use any OpenAI-compatible server
	2	+
	3	+This guide shows how to run mini-me on a model server that has no dedicated provider — the OpenAI API itself, vLLM, LM Studio, OpenRouter, a company gateway — with the generic `openai` provider. It assumes the server speaks the OpenAI chat-completions protocol and supports tool calls.
	4	+
	5	+## Steps
	6	+
	7	+1. Point the agent at the server, in its YAML:
	8	+
	9	+ ```yaml
	10	+ provider: openai
	11	+ model: my-model # as the server names it: GET <baseUrl>/models
	12	+ baseUrl: http://localhost:8000/v1 # omit it for the OpenAI API
	13	+ contextWindow: 32768 # the window the server serves: this provider cannot ask for it
	14	+ ```
	15	+
	16	+2. If the server needs a key, export it — it never goes in the YAML:
	17	+
	18	+ ```bash
	19	+ export OPENAI_API_KEY=sk-…
	20	+ ```
	21	+
	22	+ Another variable name: `apiKeyEnv: MY_GATEWAY_KEY`.
	23	+
	24	+3. Start mm as usual (`mm agent.yaml`, `mm -tui agent.yaml`, `mm -acp`). Checked with llmman's OpenAI address used as a generic server: the start-up probe lists the models, and a `bash` tool call runs:
	25	+
	26	+ ```text
	27	+ 🛠️ bash: echo hello-from-openai-provider
	28	+ │ hello-from-openai-provider
	29	+ 🤖 The command printed: `hello-from-openai-provider`
	30	+ ```
	31	+
	32	+`mm init --provider openai --base-url <address>` writes such a file for you (see [Create an agent with `mm init`](create-an-agent.md)).
	33	+
	34	+## Variants
	35	+
	36	+- The OpenAI API. No `baseUrl`, `OPENAI_API_KEY` exported, a model such as `gpt-5-mini`. Its reasoning models accept only the default temperature and take `max_completion_tokens` instead of `max_tokens`: write those in `sampling`, and remove a key the API refuses. (Not measured in this repository.)
	37	+- The key is refused. The start-up warning says `openai: <baseUrl> refused the key (HTTP 401) — export OPENAI_API_KEY`.
	38	+- Nothing answers. The warning says `openai: nothing answers at <baseUrl> — check baseUrl: …`: the address must be the OpenAI-compatible one, usually ending in `/v1`.
	39	+- A server mm has a provider for. Prefer it (`dmr`, `llamacpp`, `llmman`, `ollama`): those know how the server reads a long prompt, turns reasoning off for a summary, unloads a model, and tell the window size. The generic provider does none of that.
	40	+
	41	+## See also
	42	+
	43	+- [Configuration reference — provider defaults](../reference/configuration.md#provider-defaults): what `openai` sends and does not
	44	+- [Providers — explanation](../explanation/providers.md)

++# How to use any OpenAI-compatible server
++
++This guide shows how to run mini-me on a model server that has no dedicated provider — the OpenAI API itself, vLLM, LM Studio, OpenRouter, a company gateway — with the generic `openai` provider. It assumes the server speaks the OpenAI chat-completions protocol and supports tool calls.
++
++## Steps
++
++1. Point the agent at the server, in its YAML:
++
++   ```yaml
++   provider: openai
++   model: my-model                       # as the server names it: GET <baseUrl>/models
++   baseUrl: http://localhost:8000/v1     # omit it for the OpenAI API
++   contextWindow: 32768                  # the window the server serves: this provider cannot ask for it
++   ```
++
++2. If the server needs a key, export it — it never goes in the YAML:
++
++   ```bash
++   export OPENAI_API_KEY=sk-…
++   ```
++
++   Another variable name: `apiKeyEnv: MY_GATEWAY_KEY`.
++
++3. Start mm as usual (`mm agent.yaml`, `mm -tui agent.yaml`, `mm -acp`). Checked with llmman's OpenAI address used as a generic server: the start-up probe lists the models, and a `bash` tool call runs:
++
++   ```text
++   🛠️  bash: echo hello-from-openai-provider
++      │ hello-from-openai-provider
++   🤖 The command printed: `hello-from-openai-provider`
++   ```
++
++`mm init --provider openai --base-url <address>` writes such a file for you (see [Create an agent with `mm init`](create-an-agent.md)).
++
++## Variants
++
++- **The OpenAI API.** No `baseUrl`, `OPENAI_API_KEY` exported, a model such as `gpt-5-mini`. Its reasoning models accept only the default temperature and take `max_completion_tokens` instead of `max_tokens`: write those in `sampling`, and remove a key the API refuses. (Not measured in this repository.)
++- **The key is refused.** The start-up warning says `openai: <baseUrl> refused the key (HTTP 401) — export OPENAI_API_KEY`.
++- **Nothing answers.** The warning says `openai: nothing answers at <baseUrl> — check baseUrl: …`: the address must be the OpenAI-compatible one, usually ending in `/v1`.
++- **A server mm has a provider for.** Prefer it (`dmr`, `llamacpp`, `llmman`, `ollama`): those know how the server reads a long prompt, turns reasoning off for a summary, unloads a model, and tell the window size. The generic provider does none of that.
++
++## See also
++
++- [Configuration reference — provider defaults](../reference/configuration.md#provider-defaults): what `openai` sends and does not
++- [Providers — explanation](../explanation/providers.md)

modified docs/en/reference/cli.md +32 -0 Viewed

@@ -8,6 +8,7 @@
8	8	mm [-config <path>] [-acp] [-tui] [-prompt <text>\|-p <text>] [--version] [--about] [<path>]
9	9	mm [-config <path>] --ask <agent> [-p <question>] (question on stdin when -p is absent)
10	10	mm [-config <path>] --ask-with-context <agent> [-p <question>] (context on stdin)
	11	+mm init [flags] (write a new agent.yaml; also mm --init)
11	12	```
12	13
13	14	\| Element \| Type \| Default \| Description \|
@@ -148,6 +149,37 @@ mm v0.1.7 \| config: agent.llamacpp.yaml \| provider: llamacpp \| model: jetbrains/
148	149	\| Parent process \| Watched every 500 ms: when it is gone, the ask is cancelled and the agent stopped. \|
149	150	\| Session \| None: neither this process nor the agent writes session files. \|
150	151
	152	+## `mm init` — the agent.yaml wizard
	153	+
	154	+`mm init` and `mm --init` (also `-init`) write a new, commented agent.yaml. They are answered before any configuration is read. Each question below has a flag; a question whose flag is given is not asked. See [How to create an agent with `mm init`](../how-to/create-an-agent.md).
	155	+
	156	+\| Flag \| Question when absent \| Default \|
	157	+\|------\|----------------------\|---------\|
	158	+\| `--provider` \| Model server: `llmman`, `ollama`, `dmr`, `llamacpp`, `openai` \| the first local one whose server answers, else `llmman` (`openai` is never probed: its default address is the OpenAI API) \|
	159	+\| `--base-url` \| — (not asked) \| the provider's address, or its fallback when it does not answer \|
	160	+\| `--model` \| Model: a list of the server's models (`/api/tags` for llmman and Ollama, `/models` for the others), or a name to type when the server does not answer \| the first of the list \|
	161	+\| `--family` \| Model family \| detected from the model's name, then from the server's family name \|
	162	+\| `--usage` \| What the agent is for: `developer`, `reviewer`, `translator`, `writer`, `assistant`, `researcher`, `docs`, `json`, `coordinator` \| `developer` \|
	163	+\| `--machine` \| Which machine runs the model: `small`, `medium`, `large` \| `small` \|
	164	+\| `--yolo yes\\|no` \| Ask before each command or file change? — only for usages with `bash`, file tools or `fetch_content` \| the usage's \|
	165	+\| `--name` \| Agent name (`acp.name`) \| the usage's name \|
	166	+\| `-o`, `--output` \| File to write (`-` = stdout) \| `agent.yaml` \|
	167	+\| `--check` \| — \| off; on: after writing, runs this mm with `-config <file> -p "Say hello in one line."` and reports whether the model answered (5 min at most) \|
	168	+\| `--yes` \| — \| off; on: nothing is asked, every missing answer takes its default \|
	169	+\| `--line` \| — \| off; on: the questions are asked line by line even in a terminal \|
	170	+
	171	+\| Aspect \| Behaviour \|
	172	+\|--------\|-----------\|
	173	+\| Window \| When stdin and stdout are terminals (and neither `--yes` nor `--line`): a full-screen window — steps (✓ answered, ▸ current, · to come, each answer beside its step), the question with the highlighted choice's description, and the file as it would be written with that choice (preview beside the question from 100 columns, in its place with `Tab` below). Keys: `↑` `↓` `Home` `End` choose, `Enter` answers, `y` / `n` answer the yes-or-no question, `Esc` takes the previous answer back (answers given by flags are skipped), `PgUp` `PgDn` scroll the preview, `Ctrl-U` clears a text answer, `Ctrl-C` quits without writing (`nothing written`, exit 1). A refused answer shows on the bottom rule. Once every question is answered, `Enter` writes the file. \|
	174	+\| Line mode \| Otherwise: one question per screen line, numbered choices; a number, an option's text or another text answers; an empty line or `/skip` takes the default. Usages and machines are listed with a one-line description first. \|
	175	+\| Model facts \| llmman and Ollama: `POST /api/show` — the native window, the GGUF's sampling (`general.sampling.*`, Ollama's Modelfile parameters), the chat template's reasoning switch (`enable_thinking`, `reasoning_effort`) and its default. llama-server: `GET /props` — `n_ctx` and the chat template. Docker Model Runner and `openai`: none — the family table decides; `openai` lists its models with `OPENAI_API_KEY`. \|
	176	+\| Where each value comes from \| The server's facts, then the family table, then the usage, then the machine row; the table is `internal/agentinit/presets.yaml`, each entry with its source. \|
	177	+\| Sampling \| Reasoning on (the usage asks for it and the model has a switch): the family's thinking sampling, never a temperature under 0.6, `max_tokens: 16384`. Reasoning off: the family's general sampling, or its precise temperature for tool-heavy usages, `max_tokens: 4096`. The GGUF's own sampling replaces the family's. `parallel_tool_calls: false` when any tool is on. \|
	178	+\| Written file \| Every value preceded by a comment saying why it has that value; `contextWindow: 0` (mm asks the server), with the native window in its comment; `context.threshold: 75`; the usage's English system prompt; for `docs` a `docSearch` block, for `json` a `structuredOutput` example and every tool off, for `coordinator` a commented `mmConfigs` example. \|
	179	+\| Existing file \| Never overwritten: `⚠️ <file> already exists — nothing was written; choose another name with -o`, exit 1, before any question. \|
	180	+\| After writing \| The file is loaded as mm loads a configuration; an error is printed and the exit code is 1. \|
	181	+\| Exit codes \| 0 written (and checked); 1 an unknown provider, usage or machine, no model, an existing file, a file mm does not load, a failed check; 2 a bad flag. \|
	182	+
151	183	## Exit codes
152	184
153	185	\| Code \| Cause \|

  mm [-config <path>] [-acp] [-tui] [-prompt <text>|-p <text>] [--version] [--about] [<path>]
  mm [-config <path>] --ask <agent> [-p <question>]              (question on stdin when -p is absent)
  mm [-config <path>] --ask-with-context <agent> [-p <question>] (context on stdin)
++mm init [flags]                                              (write a new agent.yaml; also mm --init)
  ```
  | Element | Type | Default | Description |
  | Parent process | Watched every 500 ms: when it is gone, the ask is cancelled and the agent stopped. |
  | Session | None: neither this process nor the agent writes session files. |
++## `mm init` — the agent.yaml wizard
++
++`mm init` and `mm --init` (also `-init`) write a new, commented agent.yaml. They are answered before any configuration is read. Each question below has a flag; a question whose flag is given is not asked. See [How to create an agent with `mm init`](../how-to/create-an-agent.md).
++
++| Flag | Question when absent | Default |
++|------|----------------------|---------|
++| `--provider` | Model server: `llmman`, `ollama`, `dmr`, `llamacpp`, `openai` | the first local one whose server answers, else `llmman` (`openai` is never probed: its default address is the OpenAI API) |
++| `--base-url` | — (not asked) | the provider's address, or its fallback when it does not answer |
++| `--model` | Model: a list of the server's models (`/api/tags` for llmman and Ollama, `/models` for the others), or a name to type when the server does not answer | the first of the list |
++| `--family` | Model family | detected from the model's name, then from the server's family name |
++| `--usage` | What the agent is for: `developer`, `reviewer`, `translator`, `writer`, `assistant`, `researcher`, `docs`, `json`, `coordinator` | `developer` |
++| `--machine` | Which machine runs the model: `small`, `medium`, `large` | `small` |
++| `--yolo yes\|no` | Ask before each command or file change? — only for usages with `bash`, file tools or `fetch_content` | the usage's |
++| `--name` | Agent name (`acp.name`) | the usage's name |
++| `-o`, `--output` | File to write (`-` = stdout) | `agent.yaml` |
++| `--check` | — | off; on: after writing, runs this mm with `-config <file> -p "Say hello in one line."` and reports whether the model answered (5 min at most) |
++| `--yes` | — | off; on: nothing is asked, every missing answer takes its default |
++| `--line` | — | off; on: the questions are asked line by line even in a terminal |
++
++| Aspect | Behaviour |
++|--------|-----------|
++| Window | When stdin and stdout are terminals (and neither `--yes` nor `--line`): a full-screen window — steps (✓ answered, ▸ current, · to come, each answer beside its step), the question with the highlighted choice's description, and the file as it would be written with that choice (preview beside the question from 100 columns, in its place with `Tab` below). Keys: `↑` `↓` `Home` `End` choose, `Enter` answers, `y` / `n` answer the yes-or-no question, `Esc` takes the previous answer back (answers given by flags are skipped), `PgUp` `PgDn` scroll the preview, `Ctrl-U` clears a text answer, `Ctrl-C` quits without writing (`nothing written`, exit 1). A refused answer shows on the bottom rule. Once every question is answered, `Enter` writes the file. |
++| Line mode | Otherwise: one question per screen line, numbered choices; a number, an option's text or another text answers; an empty line or `/skip` takes the default. Usages and machines are listed with a one-line description first. |
++| Model facts | llmman and Ollama: `POST /api/show` — the native window, the GGUF's sampling (`general.sampling.*`, Ollama's Modelfile parameters), the chat template's reasoning switch (`enable_thinking`, `reasoning_effort`) and its default. llama-server: `GET /props` — `n_ctx` and the chat template. Docker Model Runner and `openai`: none — the family table decides; `openai` lists its models with `OPENAI_API_KEY`. |
++| Where each value comes from | The server's facts, then the family table, then the usage, then the machine row; the table is `internal/agentinit/presets.yaml`, each entry with its source. |
++| Sampling | Reasoning on (the usage asks for it and the model has a switch): the family's thinking sampling, never a temperature under 0.6, `max_tokens: 16384`. Reasoning off: the family's general sampling, or its precise temperature for tool-heavy usages, `max_tokens: 4096`. The GGUF's own sampling replaces the family's. `parallel_tool_calls: false` when any tool is on. |
++| Written file | Every value preceded by a comment saying why it has that value; `contextWindow: 0` (mm asks the server), with the native window in its comment; `context.threshold: 75`; the usage's English system prompt; for `docs` a `docSearch` block, for `json` a `structuredOutput` example and every tool off, for `coordinator` a commented `mmConfigs` example. |
++| Existing file | Never overwritten: `⚠️ <file> already exists — nothing was written; choose another name with -o`, exit 1, before any question. |
++| After writing | The file is loaded as mm loads a configuration; an error is printed and the exit code is 1. |
++| Exit codes | 0 written (and checked); 1 an unknown provider, usage or machine, no model, an existing file, a file mm does not load, a failed check; 2 a bad flag. |
++
  ## Exit codes
  | Code | Cause |

modified docs/en/reference/configuration.md +4 -1 Viewed

@@ -6,7 +6,7 @@
6	6
7	7	\| Key \| Type \| Default \| Description \|
8	8	\|-----\|------\|---------\|-------------\|
9		-\| `provider` \| string \| `dmr` \| Registry key of the LLM server: `dmr`, `llamacpp`, `llmman` or `ollama`. Overridden by `AGENT_PROVIDER`. \|
	9	+\| `provider` \| string \| `dmr` \| Registry key of the LLM server: `dmr`, `llamacpp`, `llmman`, `ollama`, or `openai` for any other OpenAI-compatible server (see [How to use any OpenAI-compatible server](../how-to/run-with-an-openai-compatible-server.md)). Overridden by `AGENT_PROVIDER`. \|
10	10	\| `model` \| string \| `huggingface.co/jetbrains/mellum2-12b-a2.5b-instruct-gguf-q4_k_m:Q4_K_M` \| Model identifier in the provider's naming. Overridden by `AGENT_MODEL`. \|
11	11	\| `baseUrl` \| string \| `""` (provider default) \| OpenAI-compatible endpoint tried first. Overridden by `AGENT_BASE_URL`. \|
12	12	\| `fallback` \| string or absent \| absent (provider default) \| Endpoint used when `baseUrl` does not answer `/models` within 2 s. Absent = provider default; `""` = no fallback. \|
@@ -177,6 +177,9 @@ tools:
177	177	\| `llamacpp` \| `http://127.0.0.1:8080/v1` \| none \| `LLAMA_API_KEY` \| no \|
178	178	\| `llmman` \| `http://127.0.0.1:17434/v1` \| `http://host.docker.internal:17434/v1` \| `LLMMAN_API_KEY` \| no \|
179	179	\| `ollama` \| `http://localhost:11434/v1` \| `http://host.docker.internal:11434/v1` \| `OLLAMA_API_KEY` \| no \|
	180	+\| `openai` \| `https://api.openai.com/v1` \| none \| `OPENAI_API_KEY` \| no — a server that needs one answers 401, and the start-up warning names the variable \|
	181	+
	182	+The `openai` provider sends only standard fields: no `return_progress` (so no prompt-reading progress while a long prompt is read), no reasoning switch on a summary request, no `/unload`. It cannot ask the server for its window: set `contextWindow`, or compression counts messages (`context.maxMessages`). Its start-up probe sends the key to `GET /models`; a 401 or 403 is reported as a refused key, not as a server that does not answer.
180	183
181	184	## `structuredOutput`
182	185

  | Key | Type | Default | Description |
  |-----|------|---------|-------------|
--| `provider` | string | `dmr` | Registry key of the LLM server: `dmr`, `llamacpp`, `llmman` or `ollama`. Overridden by `AGENT_PROVIDER`. |
++| `provider` | string | `dmr` | Registry key of the LLM server: `dmr`, `llamacpp`, `llmman`, `ollama`, or `openai` for any other OpenAI-compatible server (see [How to use any OpenAI-compatible server](../how-to/run-with-an-openai-compatible-server.md)). Overridden by `AGENT_PROVIDER`. |
  | `model` | string | `huggingface.co/jetbrains/mellum2-12b-a2.5b-instruct-gguf-q4_k_m:Q4_K_M` | Model identifier in the provider's naming. Overridden by `AGENT_MODEL`. |
  | `baseUrl` | string | `""` (provider default) | OpenAI-compatible endpoint tried first. Overridden by `AGENT_BASE_URL`. |
  | `fallback` | string or absent | absent (provider default) | Endpoint used when `baseUrl` does not answer `/models` within 2 s. Absent = provider default; `""` = no fallback. |
  | `llamacpp` | `http://127.0.0.1:8080/v1` | none | `LLAMA_API_KEY` | no |
  | `llmman` | `http://127.0.0.1:17434/v1` | `http://host.docker.internal:17434/v1` | `LLMMAN_API_KEY` | no |
  | `ollama` | `http://localhost:11434/v1` | `http://host.docker.internal:11434/v1` | `OLLAMA_API_KEY` | no |
++| `openai` | `https://api.openai.com/v1` | none | `OPENAI_API_KEY` | no — a server that needs one answers 401, and the start-up warning names the variable |
++
++The `openai` provider sends only standard fields: no `return_progress` (so no prompt-reading progress while a long prompt is read), no reasoning switch on a summary request, no `/unload`. It cannot ask the server for its window: set `contextWindow`, or compression counts messages (`context.maxMessages`). Its start-up probe sends the key to `GET /models`; a 401 or 403 is reported as a refused key, not as a server that does not answer.
  ## `structuredOutput`

modified docs/fr/README.md +2 -0 Viewed

@@ -10,9 +10,11 @@ Cette documentation est organisée selon les quatre quadrants [Diátaxis](https:
10	10
11	11	## Guides pratiques — accomplir une tâche
12	12
	13	+- [Créer un agent avec `mm init`](how-to/create-an-agent.md) — un assistant qui écrit un agent.yaml commenté à partir des faits du serveur, d'une table de familles, de l'usage et de la machine
13	14	- [Faire tourner mini-me sur llama.cpp plutôt que Docker Model Runner](how-to/run-with-llama-cpp.md)
14	15	- [Faire tourner mini-me sur llmman](how-to/run-with-llmman.md) — `provider: llmman`, la config de démo dans `demos/llmman/`
15	16	- [Faire tourner mini-me sur Ollama](how-to/run-with-ollama.md) — `provider: ollama`, la config de démo dans `demos/ollama/`
	17	+- [Utiliser n'importe quel serveur compatible OpenAI](how-to/run-with-an-openai-compatible-server.md) — `provider: openai` : l'API d'OpenAI, vLLM, LM Studio, une passerelle
16	18	- [Interroger un autre agent mm depuis votre session](how-to/ask-another-agent.md) — `mmConfigs`, `/ask-<nom>`, `/ask-with-context-<nom>`
17	19	- [Voir le JSON envoyé au modèle et sa réponse](how-to/inspect-model-traffic.md) — `trace`, `AGENT_TRACE`, lire les fichiers avec jq
18	20	- [Donner à l'agent les consignes de votre projet](how-to/give-project-instructions.md) — `AGENTS.md`, lu à chaque conversation, réglages `agentsMd`

  ## Guides pratiques — accomplir une tâche
++- [Créer un agent avec `mm init`](how-to/create-an-agent.md) — un assistant qui écrit un agent.yaml commenté à partir des faits du serveur, d'une table de familles, de l'usage et de la machine
  - [Faire tourner mini-me sur llama.cpp plutôt que Docker Model Runner](how-to/run-with-llama-cpp.md)
  - [Faire tourner mini-me sur llmman](how-to/run-with-llmman.md) — `provider: llmman`, la config de démo dans `demos/llmman/`
  - [Faire tourner mini-me sur Ollama](how-to/run-with-ollama.md) — `provider: ollama`, la config de démo dans `demos/ollama/`
++- [Utiliser n'importe quel serveur compatible OpenAI](how-to/run-with-an-openai-compatible-server.md) — `provider: openai` : l'API d'OpenAI, vLLM, LM Studio, une passerelle
  - [Interroger un autre agent mm depuis votre session](how-to/ask-another-agent.md) — `mmConfigs`, `/ask-<nom>`, `/ask-with-context-<nom>`
  - [Voir le JSON envoyé au modèle et sa réponse](how-to/inspect-model-traffic.md) — `trace`, `AGENT_TRACE`, lire les fichiers avec jq
  - [Donner à l'agent les consignes de votre projet](how-to/give-project-instructions.md) — `AGENTS.md`, lu à chaque conversation, réglages `agentsMd`

modified docs/fr/explanation/providers.md +1 -1 Viewed

@@ -2,7 +2,7 @@
2	2
3	3	## De quoi s'agit-il ?
4	4
5		-`mm` dialogue avec un serveur de modèle local via l'API chat-completions d'OpenAI. Quatre serveurs sont pris en charge d'origine : Docker Model Runner, `llama-server` de llama.cpp, llmman et Ollama, sous les noms `dmr`, `llamacpp`, `llmman` et `ollama`. Le paquet moteur était autrefois lié à Docker Model Runner ; l'abstraction de fournisseur est ce qui l'a généralisé.
	5	+`mm` dialogue avec un serveur de modèle local via l'API chat-completions d'OpenAI. Quatre serveurs sont pris en charge d'origine : Docker Model Runner, `llama-server` de llama.cpp, llmman et Ollama, sous les noms `dmr`, `llamacpp`, `llmman` et `ollama`. Une cinquième entrée, `openai` (ticket 118), prend tout autre serveur qui parle le protocole — l'API d'OpenAI par défaut, vLLM, LM Studio, une passerelle — et ne suppose rien au-delà : c'est la même entrée faite de données, avec tous les champs propres à un serveur laissés vides, et une sonde qui envoie la clé. Le paquet moteur était autrefois lié à Docker Model Runner ; l'abstraction de fournisseur est ce qui l'a généralisé.
6	6
7	7	## Pourquoi c'est conçu ainsi
8	8

  ## De quoi s'agit-il ?
--`mm` dialogue avec un serveur de modèle local via l'API chat-completions d'OpenAI. Quatre serveurs sont pris en charge d'origine : Docker Model Runner, `llama-server` de llama.cpp, llmman et Ollama, sous les noms `dmr`, `llamacpp`, `llmman` et `ollama`. Le paquet moteur était autrefois lié à Docker Model Runner ; l'abstraction de fournisseur est ce qui l'a généralisé.
++`mm` dialogue avec un serveur de modèle local via l'API chat-completions d'OpenAI. Quatre serveurs sont pris en charge d'origine : Docker Model Runner, `llama-server` de llama.cpp, llmman et Ollama, sous les noms `dmr`, `llamacpp`, `llmman` et `ollama`. Une cinquième entrée, `openai` (ticket 118), prend tout autre serveur qui parle le protocole — l'API d'OpenAI par défaut, vLLM, LM Studio, une passerelle — et ne suppose rien au-delà : c'est la même entrée faite de données, avec tous les champs propres à un serveur laissés vides, et une sonde qui envoie la clé. Le paquet moteur était autrefois lié à Docker Model Runner ; l'abstraction de fournisseur est ce qui l'a généralisé.
  ## Pourquoi c'est conçu ainsi

added docs/fr/how-to/create-an-agent.md +91 -0 Viewed