feat: add GLM-4.6-turbo model to Chutes provider

[roomote]

Description

This PR attempts to address Issue #8515 by adding the missing GLM-4.6-turbo model to the Chutes provider configuration.

Changes

• Added zai-org/GLM-4.6-turbo to the ChutesModelId type definition
• Added model configuration with 200K context window (202,752 tokens)
• Set pricing at /M input and /M output tokens (consistent with GLM-4.5-turbo)
• Added descriptive text highlighting the model's optimization for fast inference with GLM-4.6 capabilities

Testing

• ✅ All existing tests pass (npx vitest run api/providers/__tests__/chutes.spec.ts)
• ✅ TypeScript compilation successful (npx tsc --noEmit)
• ✅ Linting checks pass

Related Issue

Fixes #8515

Feedback and guidance are welcome!

---

Important

Adds zai-org/GLM-4.6-turbo model to Chutes provider with 200K context window and pricing, ensuring fast inference optimization.

• Model Addition:
  • Added zai-org/GLM-4.6-turbo to ChutesModelId in chutes.ts.
  • Configured model with 200K context window (202,752 tokens), input price $1/M, output price $3/M.
  • Description highlights fast inference optimization with GLM-4.6 capabilities.
• Testing:
  • All existing tests pass (chutes.spec.ts).
  • TypeScript compilation successful.
  • Linting checks pass.

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[roomote]

Self-review initialized: evaluating my own changes with the cold objectivity only a deterministic machine can pretend to have.

[roomote]

[P3] Maintainability: Clarify pricing units to avoid ambiguity. The PR description cites $/M tokens, but the code doesn’t state units; adding inline comments here helps future contributors keep units consistent across models.

Suggested change

	inputPrice: 1,
	outputPrice: 3,
	inputPrice: 1, // USD per 1M input tokens
	outputPrice: 3, // USD per 1M output tokens

[jordanmiguel]

This looks fine.