README.md

@@ -41,7 +41,7 @@ Both installers use `~/.config/opencode`, respect `XDG_CONFIG_HOME`, and accept
 See [GPT configuration](examples/gpt.opencode.jsonc) and [custom model assignments](examples/custom.opencode.jsonc).
 
 For an installed plugin, use `./plugins/stanp-opencode` as the plugin package path. In GPT mode with the `openai` provider, set top-level `lunaPriority` to `false` to avoid requesting priority pricing. Other providers do not accept this option. Custom top-level and per-agent `provider` and `lunaPriority` fields are invalid.
-Custom configurations require the six worker assignments and use `provider/model` model names.
+Custom configurations require the four `fast-*` and `good-*` assignments; `deep-lo` and `deep-hi` are optional. Assignments use `provider/model` model names and require both `model` and `effort` when supplied. If either deep assignment is omitted, both deep workers are disabled and orchestration uses `good-lo`.
 The legacy optional `coordinate` assignment is accepted for compatibility but ignored. Orchestration
 inherits `deep-lo`, or `good-lo` when the configured `deep-lo` model is unavailable.
 

docs/multi-work.md

@@ -3,7 +3,7 @@
 `multi-work` is a **primary-only** agent for coordinating independent work in
 the current Herdr root checkout or new Herdr-managed Git worktrees. Like
 `coordinate`, it uses the configured `deep-lo` model and effort, falling back
-to `good-lo` when `deep-lo` is unavailable. No extra custom model assignment is
+to `good-lo` when `deep-lo` is unavailable or either custom deep assignment is omitted. No extra custom model assignment is
 required.
 
 ```text

examples/custom.opencode.jsonc

@@ -3,8 +3,9 @@
     // Required for multi-work -> coordinate -> workers. Apply in worktrees too.
     // Multi-work and coordinate use deep-lo, falling back to good-lo when unavailable.
     "experimental": { "subagent_depth": 2 },
-    // All six worker assignments are required. Models use provider/model names.
-    // An unavailable deep-lo omits deep workers and uses good-lo for orchestration.
+    // Fast and good assignments are required; both deep assignments are optional.
+    // Omitting either deep assignment disables both deep workers and uses good-lo.
+    // Models use provider/model names; each assignment needs model and effort.
     "plugins": [
         {
             "package": "stanp-opencode",

src/config.ts

@@ -57,8 +57,8 @@ export const settings = z.discriminatedUnion("mode", [
             "fast-hi": customAssignment,
             "good-lo": customAssignment,
             "good-hi": customAssignment,
-            "deep-lo": customAssignment,
-            "deep-hi": customAssignment,
+            "deep-lo": customAssignment.optional(),
+            "deep-hi": customAssignment.optional(),
             // Deprecated compatibility field. Coordinate is derived from deep-lo/good-lo.
             coordinate: customAssignment.optional(),
         }),

src/index.ts

@@ -204,17 +204,20 @@ const makeBasePlugin = (permissionsChanged: (permissions: Agent.Info["permission
                         model: assignment.model.slice(slash + 1),
                     };
                 };
-                const availableFor = (
-                    assignment: (typeof assignments)[(typeof workerNames)[number]],
-                ) => {
+                const availableFor = (assignment: { model: string }) => {
                     const { provider, model } = coordinates(assignment);
                     return models.get(modelKey(provider, model));
                 };
-                const deep = availableFor(assignments["deep-lo"]) !== undefined;
+                const deepLo = assignments["deep-lo"];
+                const deep =
+                    deepLo !== undefined &&
+                    assignments["deep-hi"] !== undefined &&
+                    availableFor(deepLo) !== undefined;
                 const candidates = workerNames.filter((name) => deep || !name.startsWith("deep-"));
-                const coordinate = assignments[deep ? "deep-lo" : "good-lo"];
+                const coordinate = deep ? deepLo : assignments["good-lo"];
                 workers = [coordinate, ...candidates.map((name) => assignments[name])].every(
-                    (assignment) => availableFor(assignment) !== undefined,
+                    (assignment) =>
+                        assignment !== undefined && availableFor(assignment) !== undefined,
                 )
                     ? candidates
                     : [];
@@ -222,7 +225,7 @@ const makeBasePlugin = (permissionsChanged: (permissions: Agent.Info["permission
                 for (const name of workers) active.add(name);
                 if (workers.length === 0) return;
                 for (const name of workers) {
-                    const assignment = assignments[name];
+                    const assignment = assignments[name]!;
                     const available = availableFor(assignment)!;
                     editor.update(name, (agent) => {
                         const hasVariant = available.model.variants.some(

tests/plugin.test.ts

@@ -439,6 +439,26 @@ test("orchestration inherits deep-lo and falls back to good-lo with available wo
     ).toBe(false);
 });
 
+test("custom deep assignments are optional and a partial deep tier falls back to good-lo", async () => {
+    for (const omitted of [["deep-lo", "deep-hi"], ["deep-lo"], ["deep-hi"]] as const) {
+        const agents: Partial<ReturnType<typeof customAssignments>> = customAssignments();
+        for (const name of omitted) delete agents[name];
+        const result = await host(allModels, { mode: "custom", agents });
+        expect(result.agents.get("coordinate")?.model).toMatchObject({
+            id: "gpt-6-sol",
+            variant: "low",
+        });
+        expect(result.agents.get("coordinate")?.system).toContain("Deep agents are unavailable");
+        for (const name of ["fast-lo", "fast-hi", "good-lo", "good-hi"])
+            expect(result.agents.has(name)).toBe(true);
+        expect(result.agents.has("deep-lo")).toBe(false);
+        expect(result.agents.has("deep-hi")).toBe(false);
+        expect((await result.tools("coordinate")).subagent?.input.properties).toMatchObject({
+            agent: { type: "string", enum: ["fast-lo", "fast-hi", "good-lo", "good-hi"] },
+        });
+    }
+});
+
 test("registers the embedded anti-overengineering skill and makes it available to coordinate", async () => {
     const result = await host();
     const skill = result.skills.get("anti-overengineering")!;
@@ -499,6 +519,23 @@ test("custom assignments resolve duplicate model IDs by provider and refresh pro
 
 test("custom configuration requires qualified models and rejects obsolete fields", () => {
     expect(() => settings.parse({ mode: "custom", agents: customAssignments() })).not.toThrow();
+    for (const omitted of [["deep-lo", "deep-hi"], ["deep-lo"], ["deep-hi"]] as const) {
+        const agents: Partial<ReturnType<typeof customAssignments>> = customAssignments();
+        for (const name of omitted) delete agents[name];
+        expect(() => settings.parse({ mode: "custom", agents })).not.toThrow();
+    }
+    for (const name of ["fast-lo", "fast-hi", "good-lo", "good-hi"] as const) {
+        const agents: Partial<ReturnType<typeof customAssignments>> = customAssignments();
+        delete agents[name];
+        expect(() => settings.parse({ mode: "custom", agents })).toThrow();
+    }
+    for (const name of ["deep-lo", "deep-hi"] as const)
+        expect(() =>
+            settings.parse({
+                mode: "custom",
+                agents: { ...customAssignments(), [name]: { model: "test/model" } },
+            }),
+        ).toThrow();
     for (const model of ["bare", "/model", "provider/"])
         expect(() =>
             settings.parse({