fix: display Kimi K3.1 Pro model label

Author: mmabrouk

sdks/python/agenta/sdk/agents/data/pi_models.curated.json

@@ -3,7 +3,7 @@
   "_curation": {
     "target": "pi_models.generated.json",
     "note": "Human overlay for the generated Pi catalog. Keyed by the entry `id` (the `provider/model` join key). Only `label`, `description`, and `ratings` may appear here; the objective facts (name/pricing/context_window/modalities) always come from the generated file. The SDK loader merges this on top of the generated facts, so a pi-ai regeneration never overwrites these judgments. Ratings: 1-5, higher is better; `cost` is cost-efficiency (5 = cheapest). Sourced from the current lineup (Fable 5 is the Anthropic frontier, above Opus), not a model's memory. Uncurated ids are valid and fall back to `name` in the picker; seed only the models worth a description. The separate `additions` list carries WHOLE entries (facts included, `source`: `curated`) for models released after the pinned pi-ai snapshot, which the generated file cannot carry at all. A generated entry of the same id always wins, so an addition retires itself on the next regeneration; drop it then.",
-    "sources": "@earendil-works/pi-ai@0.99.1 (regenerated 2026-09-30; the Claude Sonnet 5.5 addition retired because pi-ai 0.99.1 carries it); vendor model and pricing pages, checked 2026-09-07; GPT-6 Sol and Luna from OpenAI's 2026-09-22 launch (openai.com/index/introducing-gpt-6-sol-and-luna, VentureBeat, MarkTechPost), checked 2026-09-27. GPT-6.1 Sol from OpenAI's 2026-09-29 DevDay launch ($2/$10 per Mtok, $0.10 cached input, near-Astra agentic coding at one fifth of Astra's price; pi-ai 0.99.1 carries it and makes it the Codex default), checked 2026-09-30."
+    "sources": "@earendil-works/pi-ai@0.99.1 (regenerated 2026-09-30; the Claude Sonnet 5.5 addition retired because pi-ai 0.99.1 carries it); vendor model and pricing pages, checked 2026-09-07; GPT-6 Sol and Luna from OpenAI's 2026-09-22 launch (openai.com/index/introducing-gpt-6-sol-and-luna, VentureBeat, MarkTechPost), checked 2026-09-27. GPT-6.1 Sol from OpenAI's 2026-09-29 DevDay launch ($2/$10 per Mtok, $0.10 cached input, near-Astra agentic coding at one fifth of Astra's price; pi-ai 0.99.1 carries it and makes it the Codex default), checked 2026-09-30. Kimi K3.1 Pro facts from OpenRouter's public model catalog (https://openrouter.ai/api/v1/models), checked 2026-10-26."
   },
   "overlay": {
     "openai/gpt-6-astra": {
@@ -88,6 +88,9 @@
     "gemini/gemini-3-pro-preview": {
       "description": "Google's flagship Gemini 3 Pro, large context and multimodal input.",
       "ratings": {"cost": 4, "intelligence": 4, "speed": 4}
+    },
+    "openrouter/moonshotai/kimi-k3.1-pro": {
+      "label": "Kimi K3.1 Pro"
     }
   },
   "additions": [
@@ -96,6 +99,20 @@
       "provider": "openrouter",
       "source": "curated",
       "name": "Gemini 4 Argon"
+    },
+    {
+      "id": "openrouter/moonshotai/kimi-k3.1-pro",
+      "provider": "openrouter",
+      "source": "curated",
+      "name": "MoonshotAI: Kimi K3.1 Pro",
+      "pricing": {
+        "input_per_mtok": 2,
+        "output_per_mtok": 10,
+        "cache_read_per_mtok": 0.2,
+        "currency": "USD"
+      },
+      "context_window": 1048576,
+      "modalities": ["text", "image", "video"]
     }
   ]
 }

sdks/python/oss/tests/pytest/unit/agents/connections/test_model_catalog.py

@@ -545,3 +545,29 @@ def test_gemini_4_argon_is_published_with_its_display_name():
     )
     assert entry["name"] == "Gemini 4 Argon"
     assert entry["provider"] == "openrouter"
+
+
+def test_kimi_k3_1_pro_is_published_with_a_clean_label():
+    entries = harness_catalog_document()["pi_core"]["capabilities"]["model_catalog"]
+    entry = next(
+        (
+            item
+            for item in entries
+            if item["id"] == "openrouter/moonshotai/kimi-k3.1-pro"
+        ),
+        None,
+    )
+    assert entry is not None, (
+        "openrouter/moonshotai/kimi-k3.1-pro missing from the pi catalog"
+    )
+    assert entry["provider"] == "openrouter"
+    assert entry["source"] == "curated"
+    assert entry["name"] == "MoonshotAI: Kimi K3.1 Pro"
+    assert entry["label"] == "Kimi K3.1 Pro"
+    assert entry["context_window"] == 1048576
+    assert entry["modalities"] == ["text", "image", "video"]
+    assert entry["pricing"]["input_per_mtok"] == 2
+    assert entry["pricing"]["output_per_mtok"] == 10
+    assert entry["pricing"]["cache_read_per_mtok"] == 0.2
+    assert entry["pricing"]["cache_write_per_mtok"] is None
+    assert entry["pricing"]["currency"] == "USD"

web/packages/agenta-entities/tests/unit/prompt-model-groups.test.ts

@@ -1005,6 +1005,11 @@ describe("selectedOptionLabel", () => {
                     provider: "openrouter",
                     label: "DeepSeek: DeepSeek V4 Flash",
                 },
+                {
+                    id: "openrouter/moonshotai/kimi-k3.1-pro",
+                    provider: "openrouter",
+                    label: "Kimi K3.1 Pro",
+                },
             ],
         },
     }
@@ -1036,6 +1041,54 @@ describe("selectedOptionLabel", () => {
         )
     })
 
+    it("labels Kimi K3.1 Pro without changing its runnable OpenRouter id", () => {
+        const groups = buildConnectionModelGroups({
+            connections: [
+                standard({
+                    id: "or",
+                    slug: "openrouter",
+                    kind: "openrouter",
+                    models: ["moonshotai/kimi-k3.1-pro"],
+                }),
+            ],
+            capabilities: caps,
+        })
+
+        expect(groups[0].options).toMatchObject([
+            {
+                label: "Kimi K3.1 Pro",
+                value: "openrouter/moonshotai/kimi-k3.1-pro",
+            },
+        ])
+        expect(selectedOptionLabel({groups, model: "openrouter/moonshotai/kimi-k3.1-pro"})).toBe(
+            "Kimi K3.1 Pro",
+        )
+    })
+
+    it("keeps an uncatalogued OpenRouter model id as its fallback label", () => {
+        const groups = buildConnectionModelGroups({
+            connections: [
+                standard({
+                    id: "or",
+                    slug: "openrouter",
+                    kind: "openrouter",
+                    models: ["moonshotai/uncatalogued-model"],
+                }),
+            ],
+            capabilities: caps,
+        })
+
+        expect(groups[0].options).toMatchObject([
+            {
+                label: "moonshotai/uncatalogued-model",
+                value: "openrouter/moonshotai/uncatalogued-model",
+            },
+        ])
+        expect(
+            selectedOptionLabel({groups, model: "openrouter/moonshotai/uncatalogued-model"}),
+        ).toBe("moonshotai/uncatalogued-model")
+    })
+
     it("gives a manually added id back exactly as typed", () => {
         const groups = buildConnectionModelGroups({
             connections: [standard({models: ["my-fine-tune-v3"]})],