Reading the answer instead of asking somebody to know it

llama-server publishes the loaded model's Jinja chat template on /props, and
that template is the very thing that rejects a reasoning effort it does not
recognise -- so the accepted set is written down, authoritatively, in a place
this application can simply read. There is a button on the model's page that
does.

The parser handles both shapes a template uses: the values inline in the test
that rejects them (Bonsai), and a named list set elsewhere with nothing near
the mention spelling them out (gpt-oss). It is deliberately conservative,
because a wrong answer here silently removes a level somebody is entitled to:
only known efforts count, an unrelated list of quoted strings is ignored, and a
single match is read as a default -- `{%- set reasoning_effort = 'medium' %}`
-- rather than as a vocabulary of one.

An endpoint with no such route says so. OpenAI and vLLM do not publish a
template, and "this cannot tell us" must not be recorded as "this model accepts
nothing".

/props sits at the server root, beside the OpenAI-compatible surface rather
than inside it, so a base URL written as .../v1 needs the suffix stripped.
Getting that wrong is a silent 404 that looks like detection simply not
working, so there is a test on it.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

src/lembas/api/admin_models.py

@@ -4,6 +4,7 @@ from __future__ import annotations
 
 import contextlib
 import logging
+from urllib.parse import quote
 
 from fastapi import APIRouter, File, Form, HTTPException, Request, Response, UploadFile, status
 from fastapi.responses import FileResponse, RedirectResponse
@@ -162,7 +163,13 @@ async def models_page(
 
 @router.get("/admin/models/{model_id}/edit")
 async def model_detail(
-    request: Request, db: Db, user: AdminUser, model_id: str, saved: str = ""
+    request: Request,
+    db: Db,
+    user: AdminUser,
+    model_id: str,
+    saved: str = "",
+    detected: str = "",
+    message: str = "",
 ):
     """Everything about one model, on its own page."""
     model = _model(db, model_id)
@@ -182,6 +189,11 @@ async def model_detail(
             # current answer, which is the common three until somebody says.
             "efforts": chat_service.EFFORTS,
             "model_efforts": chat_service.efforts_for(model),
+            # What `detect-efforts` found, if it has just run. Escaped by the
+            # template like every other value; it is prose the endpoint or this
+            # application wrote, not markup.
+            "detected": detected if detected in ("success", "warning") else "",
+            "detected_message": message[:400],
             # Rows predating the split have no tool_* keys at all. Showing them
             # unticked would be a lie: tools.enabled_tools treats absent as on
             # when `tools` is on, so that an upgrade does not silently take web
@@ -342,6 +354,55 @@ async def move_model(
     return RedirectResponse(back or "/admin/models", status_code=303)
 
 
+@router.post("/admin/models/{model_id}/detect-efforts")
+async def detect_efforts(db: Db, user: AdminUser, model_id: str) -> Response:
+    """Ask the endpoint which reasoning efforts this model actually takes.
+
+    llama-server hands its loaded model's Jinja chat template over on `/props`,
+    and that template is the thing that rejects an effort it does not know -- so
+    the accepted set is written down in the one place that is authoritative,
+    rather than having to be guessed at or discovered by a failed reply.
+
+    Anything that is not a llama-server answers nothing here, and that is a
+    normal outcome: OpenAI and vLLM have no such route, and their models are
+    documented rather than introspectable. The result then says so instead of
+    claiming the model accepts nothing.
+    """
+    from lembas.services.llm.openai_client import Endpoint, fetch_chat_template
+
+    model = _model(db, model_id)
+    connection = db.get(Connection, model.connection_id)
+    if connection is None:
+        raise HTTPException(status.HTTP_404_NOT_FOUND, "That connection no longer exists.")
+
+    template = await fetch_chat_template(Endpoint.from_connection(connection))
+    found = chat_service.efforts_from_chat_template(template)
+
+    if found:
+        model.reasoning_efforts = found
+        db.commit()
+        message = "This model's template accepts: " + ", ".join(found) + "."
+        kind = "success"
+    elif template:
+        message = (
+            "The endpoint gave up its chat template, but nothing in it names a "
+            "set of reasoning efforts. Either this model does not take one, or "
+            "it accepts anything and never checks."
+        )
+        kind = "warning"
+    else:
+        message = (
+            "This endpoint does not publish its chat template, so there is "
+            "nothing to read. llama.cpp does; OpenAI and vLLM do not."
+        )
+        kind = "warning"
+
+    return RedirectResponse(
+        f"/admin/models/{model.id}/edit?detected={kind}&message={quote(message)}",
+        status_code=status.HTTP_303_SEE_OTHER,
+    )
+
+
 @router.post("/admin/models/{model_id}/default")
 async def set_default_model(
     db: Db, user: AdminUser, model_id: str, back: str = Form("")