Answer budget within the context window; enforced reviews of completed todos

Context window
- Requests asked for the model's full max_output, but providers count
  input + output against the window: long chats with large-output models
  (DeepSeek V4.1 Flash, 384k) failed with "input too long" before automatic
  compaction (85 %) kicked in. max_tokens is now what the window leaves
  (estimated input = last usage + messages since), the chat is compacted when
  less than 32k would remain for an answer, and a context-overflow error
  compacts and retries once.
- ModelConfig.max_input (catalogue limit.input, editable in the provider
  settings) lowers the compaction threshold for models with an input limit.

Enforced reviews (modes with refine.rounds > 0, refine.after_todos default on)
- Every todo marked completed is reviewed against the work since the last
  review; with findings it is reopened and the feedback goes to the agent
  (max. rounds per todo). Passed reviews leave a visible note.
- Ending the turn with open todos sends the agent back to work while it makes
  progress (max. 10 reminders in a row without progress); such modes may take
  up to 2,000 steps per turn. Reaching the step limit is reported.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

web/src/components/settings/AgentsEditor.tsx

@@ -61,6 +61,7 @@ function AgentRow({ a, raw, tools, onSaved }: { a: AgentInfo; raw: any; tools: T
     refine_rounds: String(raw?.refine?.rounds ?? a.refine?.rounds ?? 0),
     refine_model: raw?.refine?.model ?? "",
     refine_criteria: raw?.refine?.criteria ?? "",
+    refine_after_todos: (raw?.refine?.after_todos ?? a.refine?.after_todos ?? true) as boolean,
   });
   const builtin = a.source === "builtin" || (a.source === "config" && !raw?.prompt && ["build", "plan", "craft", "chat", "general", "explore"].includes(a.name));
 
@@ -74,7 +75,7 @@ function AgentRow({ a, raw, tools, onSaved }: { a: AgentInfo; raw: any; tools: T
       const rounds = Math.max(0, Math.min(10, Number(form.refine_rounds) || 0));
       patches.push({
         path: [...base, "refine"],
-        value: rounds || form.refine_model || form.refine_criteria ? { rounds, model: form.refine_model || null, criteria: form.refine_criteria || null } : null,
+        value: rounds || form.refine_model || form.refine_criteria ? { rounds, model: form.refine_model || null, criteria: form.refine_criteria || null, after_todos: form.refine_after_todos } : null,
       });
     }
     if (!builtin || form.description) patches.push({ path: [...base, "description"], value: form.description || null });
@@ -158,6 +159,11 @@ function AgentRow({ a, raw, tools, onSaved }: { a: AgentInfo; raw: any; tools: T
                 <label>{t("agents.refineCriteria")}</label>
                 <textarea rows={3} value={form.refine_criteria} onChange={(e) => setForm({ ...form, refine_criteria: e.target.value })} />
                 <div className="hint">{t("agents.refineCriteriaHint")}</div>
+                <label className="check">
+                  <input type="checkbox" checked={form.refine_after_todos} onChange={(e) => setForm({ ...form, refine_after_todos: e.target.checked })} />
+                  {t("agents.refineAfterTodos")}
+                </label>
+                <div className="hint">{t("agents.refineAfterTodosHint")}</div>
               </>
             )}
             <label>{t("agents.description")}</label>