From 38c6c7a101a8552a422ccc881dddee91031c99a5 Mon Sep 17 00:00:00 2001
From: "roomote[bot]" <219738659+roomote[bot]@users.noreply.github.com>
Date: Wed, 30 Jul 2025 22:23:51 -0400
Subject: [PATCH] feat: add zai-org/GLM-4.5-FP8 model to Chutes AI provider
 (#6441)

Co-authored-by: Roo Code <roomote@roocode.com>
---
 packages/types/src/providers/chutes.ts     | 11 +++++++++++
 src/api/providers/__tests__/chutes.spec.ts | 23 ++++++++++++++++++++++
 2 files changed, 34 insertions(+)

diff --git a/packages/types/src/providers/chutes.ts b/packages/types/src/providers/chutes.ts
index 98a2f4f360..95946122a3 100644
--- a/packages/types/src/providers/chutes.ts
+++ b/packages/types/src/providers/chutes.ts
@@ -26,6 +26,7 @@ export type ChutesModelId =
 	| "microsoft/MAI-DS-R1-FP8"
 	| "tngtech/DeepSeek-R1T-Chimera"
 	| "zai-org/GLM-4.5-Air"
+	| "zai-org/GLM-4.5-FP8"
 
 export const chutesDefaultModelId: ChutesModelId = "deepseek-ai/DeepSeek-R1-0528"
 
@@ -247,4 +248,14 @@ export const chutesModels = {
 		description:
 			"GLM-4.5-Air model with 151,329 token context window and 106B total parameters with 12B activated.",
 	},
+	"zai-org/GLM-4.5-FP8": {
+		maxTokens: 32768,
+		contextWindow: 131072,
+		supportsImages: false,
+		supportsPromptCache: false,
+		inputPrice: 0,
+		outputPrice: 0,
+		description:
+			"GLM-4.5-FP8 model with 128k token context window, optimized for agent-based applications with MoE architecture.",
+	},
 } as const satisfies Record<string, ModelInfo>
diff --git a/src/api/providers/__tests__/chutes.spec.ts b/src/api/providers/__tests__/chutes.spec.ts
index 35cb183dae..911c848b12 100644
--- a/src/api/providers/__tests__/chutes.spec.ts
+++ b/src/api/providers/__tests__/chutes.spec.ts
@@ -208,6 +208,29 @@ describe("ChutesHandler", () => {
 		)
 	})
 
+	it("should return zai-org/GLM-4.5-FP8 model with correct configuration", () => {
+		const testModelId: ChutesModelId = "zai-org/GLM-4.5-FP8"
+		const handlerWithModel = new ChutesHandler({
+			apiModelId: testModelId,
+			chutesApiKey: "test-chutes-api-key",
+		})
+		const model = handlerWithModel.getModel()
+		expect(model.id).toBe(testModelId)
+		expect(model.info).toEqual(
+			expect.objectContaining({
+				maxTokens: 32768,
+				contextWindow: 131072,
+				supportsImages: false,
+				supportsPromptCache: false,
+				inputPrice: 0,
+				outputPrice: 0,
+				description:
+					"GLM-4.5-FP8 model with 128k token context window, optimized for agent-based applications with MoE architecture.",
+				temperature: 0.5, // Default temperature for non-DeepSeek models
+			}),
+		)
+	})
+
 	it("completePrompt method should return text from Chutes API", async () => {
 		const expectedResponse = "This is a test response from Chutes"
 		mockCreate.mockResolvedValueOnce({ choices: [{ message: { content: expectedResponse } }] })