feat: add GLM-4.5 and OpenAI gpt-oss models to Fireworks provider

- Added GLM-4.5 (355B/32B active) and GLM-4.5-Air (106B/12B active) models from Z.ai
- Added gpt-oss-20b and gpt-oss-120b models from OpenAI
- All models configured with 128K context window
- Added comprehensive test coverage for all new models

Fixes #6753

Author: roomote

packages/types/src/providers/fireworks.ts

@@ -6,6 +6,10 @@ export type FireworksModelId =
 	| "accounts/fireworks/models/qwen3-coder-480b-a35b-instruct"
 	| "accounts/fireworks/models/deepseek-r1-0528"
 	| "accounts/fireworks/models/deepseek-v3"
+	| "accounts/fireworks/models/glm-4-5"
+	| "accounts/fireworks/models/glm-4-5-air"
+	| "accounts/fireworks/models/gpt-oss-20b"
+	| "accounts/fireworks/models/gpt-oss-120b"
 
 export const fireworksDefaultModelId: FireworksModelId = "accounts/fireworks/models/kimi-k2-instruct"
 
@@ -58,4 +62,44 @@ export const fireworksModels = {
 		description:
 			"A strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token from Deepseek. Note that fine-tuning for this model is only available through contacting fireworks at https://fireworks.ai/company/contact-us.",
 	},
+	"accounts/fireworks/models/glm-4-5": {
+		maxTokens: 16384,
+		contextWindow: 128000,
+		supportsImages: false,
+		supportsPromptCache: false,
+		inputPrice: 0.55,
+		outputPrice: 2.19,
+		description:
+			"Z.ai GLM-4.5 with 355B total parameters and 32B active parameters. Features unified reasoning, coding, and intelligent agent capabilities.",
+	},
+	"accounts/fireworks/models/glm-4-5-air": {
+		maxTokens: 16384,
+		contextWindow: 128000,
+		supportsImages: false,
+		supportsPromptCache: false,
+		inputPrice: 0.55,
+		outputPrice: 2.19,
+		description:
+			"Z.ai GLM-4.5-Air with 106B total parameters and 12B active parameters. Features unified reasoning, coding, and intelligent agent capabilities.",
+	},
+	"accounts/fireworks/models/gpt-oss-20b": {
+		maxTokens: 16384,
+		contextWindow: 128000,
+		supportsImages: false,
+		supportsPromptCache: false,
+		inputPrice: 0.07,
+		outputPrice: 0.3,
+		description:
+			"OpenAI gpt-oss-20b: Compact model for local/edge deployments. Optimized for low-latency and resource-constrained environments with chain-of-thought output, adjustable reasoning, and agentic workflows.",
+	},
+	"accounts/fireworks/models/gpt-oss-120b": {
+		maxTokens: 16384,
+		contextWindow: 128000,
+		supportsImages: false,
+		supportsPromptCache: false,
+		inputPrice: 0.15,
+		outputPrice: 0.6,
+		description:
+			"OpenAI gpt-oss-120b: Production-grade, general-purpose model that fits on a single H100 GPU. Features complex reasoning, configurable effort, full chain-of-thought transparency, and supports function calling, tool use, and structured outputs.",
+	},
 } as const satisfies Record<string, ModelInfo>

src/api/providers/__tests__/fireworks.spec.ts

@@ -179,6 +179,90 @@ describe("FireworksHandler", () => {
 		)
 	})
 
+	it("should return GLM-4.5 model with correct configuration", () => {
+		const testModelId: FireworksModelId = "accounts/fireworks/models/glm-4-5"
+		const handlerWithModel = new FireworksHandler({
+			apiModelId: testModelId,
+			fireworksApiKey: "test-fireworks-api-key",
+		})
+		const model = handlerWithModel.getModel()
+		expect(model.id).toBe(testModelId)
+		expect(model.info).toEqual(
+			expect.objectContaining({
+				maxTokens: 16384,
+				contextWindow: 128000,
+				supportsImages: false,
+				supportsPromptCache: false,
+				inputPrice: 0.55,
+				outputPrice: 2.19,
+				description: expect.stringContaining("Z.ai GLM-4.5 with 355B total parameters"),
+			}),
+		)
+	})
+
+	it("should return GLM-4.5-Air model with correct configuration", () => {
+		const testModelId: FireworksModelId = "accounts/fireworks/models/glm-4-5-air"
+		const handlerWithModel = new FireworksHandler({
+			apiModelId: testModelId,
+			fireworksApiKey: "test-fireworks-api-key",
+		})
+		const model = handlerWithModel.getModel()
+		expect(model.id).toBe(testModelId)
+		expect(model.info).toEqual(
+			expect.objectContaining({
+				maxTokens: 16384,
+				contextWindow: 128000,
+				supportsImages: false,
+				supportsPromptCache: false,
+				inputPrice: 0.55,
+				outputPrice: 2.19,
+				description: expect.stringContaining("Z.ai GLM-4.5-Air with 106B total parameters"),
+			}),
+		)
+	})
+
+	it("should return gpt-oss-20b model with correct configuration", () => {
+		const testModelId: FireworksModelId = "accounts/fireworks/models/gpt-oss-20b"
+		const handlerWithModel = new FireworksHandler({
+			apiModelId: testModelId,
+			fireworksApiKey: "test-fireworks-api-key",
+		})
+		const model = handlerWithModel.getModel()
+		expect(model.id).toBe(testModelId)
+		expect(model.info).toEqual(
+			expect.objectContaining({
+				maxTokens: 16384,
+				contextWindow: 128000,
+				supportsImages: false,
+				supportsPromptCache: false,
+				inputPrice: 0.07,
+				outputPrice: 0.3,
+				description: expect.stringContaining("OpenAI gpt-oss-20b: Compact model for local/edge deployments"),
+			}),
+		)
+	})
+
+	it("should return gpt-oss-120b model with correct configuration", () => {
+		const testModelId: FireworksModelId = "accounts/fireworks/models/gpt-oss-120b"
+		const handlerWithModel = new FireworksHandler({
+			apiModelId: testModelId,
+			fireworksApiKey: "test-fireworks-api-key",
+		})
+		const model = handlerWithModel.getModel()
+		expect(model.id).toBe(testModelId)
+		expect(model.info).toEqual(
+			expect.objectContaining({
+				maxTokens: 16384,
+				contextWindow: 128000,
+				supportsImages: false,
+				supportsPromptCache: false,
+				inputPrice: 0.15,
+				outputPrice: 0.6,
+				description: expect.stringContaining("OpenAI gpt-oss-120b: Production-grade, general-purpose model"),
+			}),
+		)
+	})
+
 	it("completePrompt method should return text from Fireworks API", async () => {
 		const expectedResponse = "This is a test response from Fireworks"
 		mockCreate.mockResolvedValueOnce({ choices: [{ message: { content: expectedResponse } }] })