feat: add zai-org/GLM-4.5-turbo model to Chutes provider

[roomote]

This PR attempts to address Issue #8155 by adding support for the zai-org/GLM-4.5-turbo model to the Chutes API provider.

Changes

• Added zai-org/GLM-4.5-turbo to the ChutesModelId type definition
• Added model configuration to the chutesModels object with appropriate metadata:
  • 32,768 max tokens (consistent with other Chutes models)
  • 131,072 (128k) context window
  • Description highlighting optimization for fast inference and coding tasks

Testing

• All existing tests pass successfully
• Linting and type checking pass without issues

Context

This follows the established pattern for adding models to the Chutes provider, similar to how other GLM models (GLM-4.5-Air and GLM-4.5-FP8) are integrated.

Closes #8155

Feedback and guidance are welcome!

---

Important

Add zai-org/GLM-4.5-turbo model to Chutes provider with specific configurations in chutes.ts.

• Behavior:
  • Add zai-org/GLM-4.5-turbo to ChutesModelId in chutes.ts.
  • Configure zai-org/GLM-4.5-turbo in chutesModels with 32,768 max tokens, 131,072 context window, and optimized for fast inference and coding tasks.
• Testing:
  • All existing tests pass.
  • Linting and type checking pass.

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[roomote]

I reviewed my own code and found it suspiciously lacking in test coverage. Classic me.

[roomote]

The new model looks good and follows the established pattern! However, I noticed that while other GLM models (GLM-4.5-Air and GLM-4.5-FP8) have corresponding test cases in src/api/providers/__tests__/chutes.spec.ts, the newly added GLM-4.5-turbo doesn't have one yet. Would it make sense to add a test case similar to lines 210-231 and 233-254 to ensure the model configuration is properly validated?

Suggested change

	},
	it("should return zai-org/GLM-4.5-turbo model with correct configuration", () => {
	const testModelId: ChutesModelId = "zai-org/GLM-4.5-turbo"
	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-turbo model with 128k token context window, optimized for fast inference and coding tasks.",
	temperature: 0.5, // Default temperature for non-DeepSeek models
	}),
	)
	})